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1
Merkulova, T., N. Ihumentseva, and A. Prokopenko. "Development of a management accounting model of an insurance company using dashboards." 101, no. 101 (December 30, 2021): 26–34. http://dx.doi.org/10.26565/2311-2379-2021-101-03.
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Modern enterprise resource management systems are quite universal, but in practice each firm has its own characteristics, which are determined by the type of activity, scale of production, management structure and other factors. These features must be taken into account when choosing a model of management accounting, adapting it to the requirements of production and management of a particular enterprise. This paper focuses on the development of a model of management reporting of an insurance company based on the 1C: Enterprise system using dashboards. Based on the needs of company management, the requirements for the model of management reporting were formulated: simplicity and clarity; control of key indicators; choice of time intervals; comparison of locations (branches, separate offices, sites, etc.); taking into account exchange rates. The proposed conceptual model includes a system of key indicators, a block of preparatory information for dashboards, blocks of the 1C: Enterprise system (sources of information). The development of the model according to this conceptual scheme involves the following stages: the choice of key indicators; content development and design of dashboards; preparation of input information for dashboards. The proposed blocks of key indicators of the conceptual model were divided according to the content into 2 dashboards: dashboard of insurance indicators and dashboard of financial indicators. Dashboards use the following filters: month, location, and indicator. In the dashboard of financial indicators there is an additional filter "currency" (UAH, EUR, USD). The developed conceptual model of management reporting and its implementation with the help of dashboards can be a useful tool for the management of the insurance company. The model focuses on small firms, but takes into account the spatial structure of the company, the structure of insurance products, and time interval. Dashboards present in a simple and clear way relevant information that can be used in making management decisions.
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Mansyur, Abu Abbas, Hariyadi Hariyadi, and Agus Eko Minarno. "Pembuatan Sistem Dashboard Akreditasi Institusi Perguruan Tinggi Standar 4 Berbasis Key Performance Indicator." Jurnal Repositor 2, no. 3 (March 5, 2020): 305. http://dx.doi.org/10.22219/repositor.v2i3.491.
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Sistem Dashboard sangat dibutuhkan dalam proses Akreditasi Institusi Perguruan Tinggi, system dashboard mempermudah proses monitoring sebuah kinerja yang sedang dilaksanakan. Proses penilaian akreditasi menggunakan indicator-indicator tertentu untuk menandakan kondisi suatu proyek, proses akreditasi memerlukan datavdan informasi dari semua pihak-pihak yang berkaitan dengan perguruan tinggi. Indicator-indicator yang digunakan bersumber dari BAN-PT berdasarkan data dari setiap komponen yang ada di perguruan tinggi. Data dan informasi tersebut harus sesuai dengan kondisi internal yang ada di perguruan tinggi sekarang ini. Karena nantinya hasil dari penelitian ini digunakan untuk proses evaluasi akreditasi di asa yang akan dating. Sehingga kedepannya suatu perguruan tinggi bias mempertahankan ataupun meningkatkan nilai akreditasi
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Stríček, Ivan, and Ivana Andrisková. "DASHBOARD USABILITY IN FINANCIAL MODELING." CBU International Conference Proceedings 3 (September 19, 2015): 020–27. http://dx.doi.org/10.12955/cbup.v3.579.
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This article is focused on the possibility of utilizing dashboard applications in financial modeling. In the era of easy access to the spreadsheet generator, as well as applications and the Internet, it is appropriate to use these tools in each area. The increasing amount of data and the need for daily monitoring and evaluation lead to the development of management applications with graphical data analysis known as “Dashboards.” The manager has the option to buy the app with a predefined environment, or create his own version—specific to the company. If only a simpler design is needed, without an online base and a connection with external databases, then it is possible to create such a simple dashboard using Excel and manage it by trained personnel. In the article, we, therefore, introduced a sample of financial indicator suitable for analysis through the application process and also showed how to create the basic interactive application.
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Branchi, Bruna A., and Marina Pedrini Feltrin. "Dashboard and Composite Indicator for Monitoring Sustainable Development." International Journal of Innovation Education and Research 7, no. 5 (May 31, 2019): 316–27. http://dx.doi.org/10.31686/ijier.vol7.iss5.1514.
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Monitoring progress made in attaining sustainable development is a highly debated issue. Starting from the framework defined by the United Nations 2030 Agenda and its 17 Sustainable Development Goals (SDG), in this paper dashboard and multidimensional index were chosen as instruments for assessing and communicating progress made in implementation of SDG. Their contributions have been discussed for Brazil in the years 2000s. Brazil is a federation of 26 States and a Federal District. To take into consideration local differences, data were collected and examined on a State base. By using a dashboard of 13 dimensions, one for each of the selected SDG, as well as a multidimensional index, it was possible to outline a better description of progress made in each Brazilian State over the selected period, as well as to identify specific obstacles to sustainable development.
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Sánchez-Suárez, Yasniel, Verenice Sánchez-Castillo, and Carlos Alberto Gómez-Cano. "Dashboard for assessing patient flow management in hospital institutions." DYNA 91, no. 232 (May 9, 2024): 49–57. http://dx.doi.org/10.15446/dyna.v91n232.111259.
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Proactive control of hospital processes has a significant influence on patient performance and satisfaction. The objective of the research is to develop a dashboard for the evaluation of patient flow management in hospital institutions. Based on a descriptive quantitative study, a procedure is proposed for the development of a dashboard for the evaluation of patient flow management in hospital institutions, structured in five stages and nine steps, including procedures for the identification of key variables and aggregation of indicators. A dashboard was developed for the General Surgery service of a Clinical Surgical Teaching Hospital, which is composed of 18 indicators, six synthetic indexes and one comprehensive indicator. Among the positive implications for healthcare managers is the possibility of monitoring and comparing strategies with a process vision between different departments in support of proactive and strategic decision making in order to improve hospital performance.
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Gusnadi, Yance, and Aditiya Hermawan. "Designing Employee Performance Monitoring Dashboard Using Key Performance Indicator (KPI)." bit-Tech 2, no. 2 (December 30, 2019): 81–88. http://dx.doi.org/10.32877/bt.v2i2.107.
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Institutions or companies must indirectly be ready to face the era of digitalization in presenting company information, especially to see employee performance. Many companies have not used an application that can help in the process of monitoring employees so far. The problem that occurs is that the company has been monitoring the process using a Spreadsheet which consists of inputting employee performance and reporting employee performance results with a predetermined target. In the process it takes a long time and tools to assist in monitoring and measuring employee performance. Dashboard monitoring is designed using the Key Performance Indicator (KPI) method that will help management and then focus on performance aspects that are used as a measure of company performance, which in turn the dashboard application with KPI will facilitate division heads and managers in conducting the analysis process, monitoring and evaluation. From the results of this research, the use of dashboard monitoring can facilitate the user in monitoring and measuring the KPI of each employee.
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Barbazza, Erica, Damir Ivanković, Sophie Wang, Kendall Jamieson Gilmore, Mircha Poldrugovac, Claire Willmington, Nicolas Larrain, et al. "Exploring Changes to the Actionability of COVID-19 Dashboards Over the Course of 2020 in the Canadian Context: Descriptive Assessment and Expert Appraisal Study." Journal of Medical Internet Research 23, no. 8 (August 6, 2021): e30200. http://dx.doi.org/10.2196/30200.
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Background Public web-based COVID-19 dashboards are in use worldwide to communicate pandemic-related information. Actionability of dashboards, as a predictor of their potential use for data-driven decision-making, was assessed in a global study during the early stages of the pandemic. It revealed a widespread lack of features needed to support actionability. In view of the inherently dynamic nature of dashboards and their unprecedented speed of creation, the evolution of dashboards and changes to their actionability merit exploration. Objective We aimed to explore how COVID-19 dashboards evolved in the Canadian context during 2020 and whether the presence of actionability features changed over time. Methods We conducted a descriptive assessment of a pan-Canadian sample of COVID-19 dashboards (N=26), followed by an appraisal of changes to their actionability by a panel of expert scorers (N=8). Scorers assessed the dashboards at two points in time, July and November 2020, using an assessment tool informed by communication theory and health care performance intelligence. Applying the nominal group technique, scorers were grouped in panels of three, and evaluated the presence of the seven defined features of highly actionable dashboards at each time point. Results Improvements had been made to the dashboards over time. These predominantly involved data provision (specificity of geographic breakdowns, range of indicators reported, and explanations of data sources or calculations) and advancements enabled by the technologies employed (customization of time trends and interactive or visual chart elements). Further improvements in actionability were noted especially in features involving local-level data provision, time-trend reporting, and indicator management. No improvements were found in communicative elements (clarity of purpose and audience), while the use of storytelling techniques to narrate trends remained largely absent from the dashboards. Conclusions Improvements to COVID-19 dashboards in the Canadian context during 2020 were seen mostly in data availability and dashboard technology. Further improving the actionability of dashboards for public reporting will require attention to both technical and organizational aspects of dashboard development. Such efforts would include better skill-mixing across disciplines, continued investment in data standards, and clearer mandates for their developers to ensure accountability and the development of purpose-driven dashboards.
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Attar, Zakky Al, Tien Fabrianti Kusumasari, and Rahmat Fauzi. "Pengembangan Sistem Dashboard untuk Mengevaluasi Platform E-Marketplace dengan Metode Scrum pada Startup GRAVIS." Jurnal Edukasi dan Penelitian Informatika (JEPIN) 8, no. 3 (December 26, 2022): 536. http://dx.doi.org/10.26418/jp.v8i3.58782.
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Dalam pengelolaan sebuah bisnis, penjual perlu mengetahui kinerja tokonya dengan mengolah dan menganalisis data transaksi dengan pembeli menjadi sebuah informasi menggunakan Dashboard. Penggunaan dashboard cukup penting sehingga butuh studi lanjutan terkait evaluasi penggunaannya. Penelitian sebelumnya lebih banyak membahas pembuatan dan pengembangan aplikasi dashboard berbasis website dan mendiskusikan operasionalisasi dashboard pada lembaga pendidikan. Oleh karena itu penelitian ini berupaya memfokuskan pada aspek perusahaan rintisan. Penelitian ini akan difokuskan pengembangan dashboard menggunakan framework Laravel dengan metode pengembangan Scrum. Penelitian ini menggunakan model konseptual dan sistematika penyelesaian masalah sehingga tercipta sebuah aplikasi yang membantu e-Marketplace. Tujuan penelitian ini adalah (1) memahami KPI evaluasi platform GRAVIS. (2) memahami konsep arsitektur aplikasi dashboard platform GRAVIS. (3) mengembangkan dashboard untuk menyajikan informasi dalam bentuk visualisasi data. Hasil penelitian ini menunjukkan (1) Key performance indicator (KPI) yang digunakan meliputi enam belas poin utama. (2) Dashboard akan menampilkan informasi dengan gauge chart, line chart dan bar chart. (3) Hasil dari enam scenario black-box testing yang diujikan mendapatkan total sukses sebanyak enam scenario dan nol scenario gagal, maka dari itu hasil dari pengujian black-box testing selesai pada iterasi pertama.
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Ibrahim, Irma Irawati, and Cuk Tho. "INFORMATION SYSTEM DESIGN OF PERFORMANCE ACHIEVEMENTS MONITORING IN THE UNIVERSITY: A CASE STUDY IN BINUS UNIVERSITY." CommIT (Communication and Information Technology) Journal 6, no. 1 (May 31, 2012): 1. http://dx.doi.org/10.21512/commit.v6i1.563.
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Dashboard is a computer interface that displays a variety of charts, graphs, tables, which are selected reports from various data that are considered important to display rapidly, with an attractive appearance, dynamic, and relevant so that it can immediately be seen quickly to analyze a condition. Dashboard information system is widely used in various companies as a support system for decision-making where Dashboard usually displays data business trends of the company or the achievement of KPI (Key Performance Indicator) of a company. The method used is descriptive analysis by means of collecting information that areimportant for universities to be considered asthe Key Success Factors (KSF) of the university, and then, the design of the dashboard is made in accordance with these important factors.The result of this study is a grand design of information systems for the university performance monitoring, starting from the reception of students, faculty performance, student academic achievement, effectiveness and efficiency of services, including graduates. It is expected that by the time the system has been fully implemented, the university can take action quickly and accurately with respect to the required conditions.Keywords: Information System Dashboard; Dashboard; Academic Dashboard; University Dashboard
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Olney, Tom, Steve Walker, Carlton Wood, and Anactoria Clarke. "Are We Living In LA (P)LA Land? Reporting on the Practice of 30 STEM Tutors in their Use of a Learning Analytics Implementation at the Open University." Journal of Learning Analytics 8, no. 3 (October 1, 2021): 45–59. http://dx.doi.org/10.18608/jla.2021.7261.
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Most higher education institutions view their increasing use of learning analytics as having significant potential to improve student academic achievement, retention outcomes, and learning and teaching practice but the realization of this potential remains stubbornly elusive. While there is an abundance of published research on the creation of visualizations, dashboards, and predictive models, there has been little work done to explore the impact of learning analytics on the actual practice of teachers. Through the lens of social informatics (an approach that views the users of technologies as active social actors whose technological practices constitute a wider socio-technical system) this qualitative study reports on an investigation into the practice of 30 tutors in the STEM faculty at Europe’s largest distance learning organization, The Open University UK (OU). When asked to incorporate learning analytics (including predictive learning analytics) contained in the Early Alert Indicator (EAI) dashboard during the 2017–2018 academic year into their practice, we found that tutors interacted with this dashboard in certain unanticipated ways and developed three identifiable “shadow practices”.
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Guo, Rong Xing, Jie Wang, and Peng Ge Ma. "Research on the Automatic Test System of Bus Dashboard Function Based on Machine Vision." Key Engineering Materials 621 (August 2014): 378–84. http://dx.doi.org/10.4028/www.scientific.net/kem.621.378.
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This paper studies the automatic test system of bus dashboard EOL (end of line) based on machine vision. Based on machine vision theory, Identification and detection algorithm of panel signal indicator elements and tachometer pointer readings was studied combining single-frame still images and real-time processing of color video image, the automatic parallel detection of multiple dashboard was realized by distributed network architecture. This paper first describes the function requirements, the overall composition and working principle of automatic test system. Then, it proposes an automatic identification and detection algorithm of dashboard symbol sheets and pointer position. Finally, it shows the designing of automatic test software with a self-learning and auto-detection function, and describes the working process of the software. The tests prove that the system is capable of realizing fast and accurate auto-test of bus dashboard functions based on the non-contact of machine vision, which improves the overall efficiency of the bus dashboard line.
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Hepifesti, Elfika, and Joko Siswanto. "Pengembangan Model Dashboard Kinerja Perusahaan Pemasok Daya Listrik ke Perusahaan." Jurnal Telematika 9, no. 1 (August 27, 2014): 26. http://dx.doi.org/10.61769/telematika.v9i1.86.
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Sistem pemantauan kinerja dan ketersediaan informasi yang real-time sangat penting untuk mendukung kesuksesan proses manajemen strategis perusahaan. Dashboard dan scorecard merupakan sistem manajemen kinerja yang dapat memfasilitasi suatu organisasi dalam mengukur, memonitor, dan mengelola kinerja proses bisnis baik dari aspek finansial maupun non-finansial yang dapat digunakan sebagai alat pemantauan pencapaian kinerja perusahaan. Penelitian ini bertujuan untuk mengembangkan model dashboard dengan framework balanced scorecard untuk perusahaan pemasok daya listrik ke perusahaan. Penelitian ini diawali dengan melakukan studi kasus pendahuluan pada 3 (tiga) perusahaan/unit bisnis pemasok daya listrik ke perusahaan, yaitu PT Krakatau Daya Listrik, Divisi Power House PT Batamindo Investment Cakrawala, dan PT Pelayanan Listrik Nasional Batam. Analisis cross-case dilakukan pada manajemen strategis, sistem manajemen kinerja, dan penggunaan indikator kinerja oleh ketiga objek penelitian. Selanjutnya dikembangkan model dashboard kinerja strategis pada 3 elemen, yaitu informasi (internal dan eksternal), pengguna, dan presentasi data dashboard kinerja mengacu kepada hasil dari studi kasus pendahuluan tersebut. Berdasarkan pengembangan model dashboard kinerja tersebut, dibangun suatu prototype dashboard kinerja strategis dengan framework balanced scorecard untuk perusahaan/unit bisnis pemasok daya listrik ke perusahaan. Penelitian ini menghasilkan 21 indikator kinerja strategis yang dapat diadaptasi dan dikonfigurasi untuk pihak eksekutif perusahaan dan visualiasi dashboard kinerja dengan presentasi data dan fitur-fitur yang dapat disesuaikan dengan kebutuhan perusahaan. Performance monitoring system and real time information availability is very important in suppporting strategic management process in a company. Dashboard wit scorecard is one of performance monitoring system that can facilitate an organization in assessing, monitoring and managing business process performance in order to monitor the company performance achievement. The purpose of this study was to develop a dashboard using Balanced Scorecard framework for electrical supplier companies. The study began with preliminary case study in three companies, namely PT Krakatau Daya Listrik, PT Batamindo Investment Cakrawala Power House Division, and PT Pelayanan Listrik Nasional Batam. Cross case analysis in strategic management, performance management system and performance indicator application was performed. Based on the analysis, strategic performance dashboard model was built on three elements namely information (external and internal) and user. Based on the model, a prototype of electrical supplier company strategic performance dashboard was developed, using balanced scorecard framework. This study produced 21 strategic performance indicators, still could be configured and adapted by company executive, including the visualization, in accordance with company needs.
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Syah, Ilham, Fatma Agus Setyaningsih, and Syahru Rahmayuda. "Sistem Informasi Evaluasi Kualitas Kinerja Dosen dalam menentukan Key Performance Indicator." Jurnal Edukasi dan Penelitian Informatika (JEPIN) 5, no. 2 (August 2, 2019): 132. http://dx.doi.org/10.26418/jp.v5i2.29649.
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Kontrol dan evaluasi merupakan fungsi yang penting dalam manajemen untuk memastikan rencana kerja organisasi bisa berjalan dengan baik sehingga akhir organisasi bisa tercapai. Untuk bisa melakukan fungsi kontrol dan evaluasi dengan baik dibutuhkan sistem informasi manajemen kinerja yang baik. Sistem manajemen kinerja yang baik harus bisa menggambarkan proses bisnis yang terjadi dalam organisasi secara keseluruhan. Sistem informasi evaluasi kinerja dosen dibangun dengan memuat ukuran-ukuran Key Performance Indicator (KPI) dari sebuah model kinerja dosen yang dikembangkan dalam bentuk kuesioner secara online dan tersistem. Dashboard model dapat mengintegrasikan data dari berbagai sumber disetiap unit, dimana mereka dapat mengelola data dan menyajikan dalam bentuk laporan informasi yang berkualitas. Hasil penelitian menunjukkan evaluasi kinerja dosen berdasarkan nilai KPI sebesar 0.616 dengan kategori penilaian baik berkisar antara 0.6 sampai 0.8, dapat dijadikan referensi sebuah model evaluasi kinerja dosen yang digambarkan dalam bentuk model dashboard untuk memberikan evaluasi terhadap mutu proses pembelajaran yang dilakukan oleh dosen dalam rangka meningkatkan kualitas proses pembelajaran.
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Maulachela, Adam Bachtiar, Abdurahim Abdurahim, Jihadil Qudsi, and Muhammad Tajuddin. "Performance Dashboard Sebagai Visualisasi Evaluasi Diri Perguruan Tinggi Menggunakan Pendekatan User-Centric." JTIM : Jurnal Teknologi Informasi dan Multimedia 3, no. 3 (August 27, 2021): 144–51. http://dx.doi.org/10.35746/jtim.v3i3.162.
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The Government of Indonesia, through the Ministry of Education and Culture, mandates each university to organize quality education. To produce graduates who meet national standards of higher education (SN-Dikti). Hence, each university must evaluate its performance to know its current condition. Unfortunately, most universities in Indonesia have difficulty in measuring their performance. Therefore, the university becomes difficult to establish a strategic plan forward. This study aims to produce a performance dashboard that can help university leaders evaluate their performance. This Performance Dashboard visualizes Key Performance Indicator (KPI) information from a strategic plan in one screen. This research uses a user-centric approach with four main stages, namely, identification of needs, planning, prototype design, and prototype review to produce the performance dashboard. The Performance Dashboard produces interactive gauge charts (baseline, targets, and performance achievements) so that it can visualize university KPI information. The results of user reviews showed that the KPI visualization by the performance dashboard was declared correct and could be useful as a guide in preparing a self-evaluation.
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Triyanti, Vivi, Marsellinus Bachtiar, and Carlos Yohan Rafavy. "Redesain Balanced Scorecard Strategy Map Berdasar Konsep KPI dan KRI." JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI 2, no. 2 (September 1, 2013): 57. http://dx.doi.org/10.36722/sst.v2i2.126.
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<p class="Default"><em>Abstrak</em> <strong>- Tulisan ini terkait dengan penelitian mengenai pengembangan manajemen dashboard di Fakultas Teknik Unika Atma Jaya. Pada penelitian sebelumnya telah dihasilkan rancangan peta strategi yang memuat tujuan-tujuan strategis (<em>strategic objectives</em>) dan indikator (<em>lead dan lag</em>) dari FT Unika Atma Jaya (UAJ) yang terbagi dalam empat perspektif <em>balanced scorecard</em> (BSC), yaitu: Perspektif Pelayanan, Perspektif Pelanggan, Perspektif Proses Bisnis Internal, serta Perspektif Pembelajaran dan Organisasi. Peta tersebut kemudian direklasifikasi lagi sehingga lebih sesuai dengan konsep indikator kinerja (<em>Performance indicator </em>– PI) dan indikator hasil (<em>Result Indicators </em>– RI). Terdapat 8 indikator proses yang diubah letaknya menjadi indikator hasil. Lebih lanjut, dari 120 indikator, terpilih 35 indikator yang dinyatakan sebagai KPI dan KRI, dan akan digunakan sebagai input di pembuatan aplikasi manajemen <em>dashboard</em>.</strong></p><p><strong><em> </em></strong></p><em>Abstract <strong>- </strong></em><strong>The paper is related to research about dashboard management development in Faculty of Engineering, Atma Jaya Catholic University of Indonesia. Previous research has resulted a strategy map with subsequent strategic objectives and indicators (lead and lag) for the Faculty of Engineering, which comprises of four Balanced Scorecards (BSC) perspectives as follows: Service, Customer, Internal Business Process, and Learning and Growth. The map then reclassified so that it fits to Performance indicators (PI) and Result Indicators (RI) concepts. which at the end of the day will be the basis for choosing key indicators (KPI and KRI). Finally, there are 8 process indicators that relocate to result indicators. Further, from 120 indicators, 35 indicators are chosen as KPI and KRI, which will be used in the next step of dashboard management application development. </strong>
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Alem, Lucie, Julie Bacqué, Jérémy Guihenneuc, Henri Delelis-Fanien, Olivier Mimoz, and Virginie Migeot. "Quality indicators development and prioritisation for emergency medical call centres: a stakeholder consensus." BMJ Open Quality 10, no. 2 (May 2021): e001176. http://dx.doi.org/10.1136/bmjoq-2020-001176.
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IntroductionEmergency medical regulation is a risky activity. In France, emergency medical societies have proposed activity and performance indicators, but their lists are non-exhaustive, unstructured and used heterogeneously among emergency medical call centres (Centres de Réception et de Régulation des Appels, CRRA). Our objective was to build by means of regional stakeholder consensus an operational quality dashboard for CRRAs.MethodsWe conducted an observational step in a French CRRA from June to September 2018 and at the same time listed existing activity and quality indicators through a rapid international literature review. We adapted and classified all indicators identified in a structured table. We prioritised them from April to September 2019 by seeking consensus with one regulator physician and one medical regulation assistant from the 13 CRRAs of the largest French region. We used an adapted Delphi method with a prioritisation scale from 1 to 9.ResultsThe rapid review of literature included 33 studies among the 414 identified and, with the first observational step, resulted in a list of 360 quality indicators covering the following areas: material resources, human resources, quality approach, call handling and postcall support. 15 of the 26 members participated in the entire process. Seventy indicators were considered as priorities with strong agreement among participants. We built an operational dashboard of quality indicators deemed high priority and provided 70 descriptive indicator sheets.ConclusionOur study allowed to build an operational quality dashboard for CRRAs as a ready-to-use support for an internal audit, for prioritisation of quality approach actions and for national and international benchmarking.
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Hardiansyah, Hardiansyah, Afrizal Zein, and Emi Sita Eriana. "Perencanaan Dashboard Untuk Monitoring Kinerja Dosen Menggunakan Metode Noetix dan Rasmussen Pada Fakultas Ilmu Komputer Universitas Pamulang." SAINSTECH: JURNAL PENELITIAN DAN PENGKAJIAN SAINS DAN TEKNOLOGI 33, no. 2 (June 12, 2023): 9–15. http://dx.doi.org/10.37277/stch.v33i2.1580.
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Abstract
The supervisory function of lecturers at the Faculty of Computer Science, Pamulang University is inseparable from teaching, research and community service activities. The increasing number of lecturers and the increasing complexity of the problems they face, demands organizational performance to be further improved. Monitored organizational performance is intended to ensure the achievement of the goals that have been set. Dashboard is a measurement instrument that provides Key Performance Indicator (KPI) information at a glance and in real-time.
The dashboard is used as an instrument for monitoring performance, in supporting management needs at both the tactical and operational levels. KPI information is tailored to the needs of its users. The characteristic of this planned dashboard lies in the type of information displayed, as well as the way it is presented, even if only at a glance. Organizational KPI identification is obtained by mapping each KPI in the organization from the viewpoint of the displayed KPI priorities. The method used in designing the dashboard is the Noetix and Rasmussen method, the results of which are the main KPIs of the organization, the information hierarchy and the addition of alerts for the dashboard.
Keywords: dashboard, monitoring, KPI, information hierarchy, alerts
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Irvan, Oktovianus, Jap Tji Beng, and Dedi Trisnawarman. "DASHBOARD PENGUKURAN KINERJA PROGRAM STUDI PERGURUAN TINGGI." Jurnal Ilmu Komputer dan Sistem Informasi 8, no. 1 (January 1, 2020): 126. http://dx.doi.org/10.24912/jiksi.v8i1.11483.
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Dashboard is a tool that used for serving information in diagram model, visual indicator or graphic that make simply summary of information. Purpose of the thesis is to make an application for development dashboard that could used for measuring the performance of study program. Method that used is Extract, Transform, Load (ETL) and Method Software Engineering. ETL Method is importing the data to SQL SERVER and then transform it into a data master which easier to process to be a fact table data and ready to be the database master, and the software engineering method is a method Business Intelligence development derived from the method of software engineering is justification, planning, Business Analysis, Design, Construction, Deployment. The Result of dashboard design that can show and monitoring data of lecturers, employees, college student, research faculty, and completed research.
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Gusta, Immanuel Luigi Da, and Johan Setiawan. "Data Visualization Indicator Disease (Malaria, Dengue Fever, and Measles) in The Year 2012-2015." International Journal of New Media Technology 4, no. 2 (December 22, 2017): 87–93. http://dx.doi.org/10.31937/ijnmt.v4i2.785.
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The aim of this paper are: to create a data visualization that can assist the Government in evaluating the return on the development of health facilities in the region and province area in term of human resources for medical personnel, to help community knowing the amount of distribution of hospitals with medical personnel in the regional area and to map disease indicator in Indonesia. The issue of tackling health is still a major problem that is not resolved by the Government of Indonesia. There are three big things that become problems in the health sector in Indonesia: infrastructure has not been evenly distributed and less adequate, the lack of human resources professional health workforce, there is still a high number of deaths in the outbreak of infectious diseases. Data for the research are taken from BPS, in total 10,600 records after the Extract, Transform and Loading process. Time needed to convert several publications from PDF, to convert to CSV and then to MS Excel 3 weeks. The method used is Eight-step Data Visualization and Data Mining methodology. Tableau is chosen as a tool to create the data visualization because it can combine each dasboard inside a story interactive, easier for the user to analyze the data. The result is a story with 3 dashboards that can fulfill the requirement from BPS staff and has been tested with a satisfied result in the UAT (User Acceptance Test).
Index Terms—Dashboard, data visualization, disease, malaria, Tableau
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[6] E. Hariyanti, "Pengembangan Metodologi Pembangunan Information Dashboard Untuk Monitoring kinerja Organisasi," Konferensi dan Temu Nasional Teknologi Informasi dan Komunikasi untuk Indonesia, p. 1, 2008.
[7] S. Darudiato, "Perancangan Data Warehouse Penjualan Untuk Mendukung Kebutuhan Informasi Eksekutif Cemerlang Skin Care," Seminar Nasional Informatika 2010, pp. E-353, 2010.
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Hananto, Valentinus Roby, and I. Gusti Ngurah Alit Widana Putra. "A Dashboard System for Monitoring Air Pollution in Surabaya based on PM2.5." Journal of Information Systems Engineering and Business Intelligence 4, no. 2 (October 28, 2018): 139. http://dx.doi.org/10.20473/jisebi.4.2.139-147.
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In developing countries where population grows rapidly, air pollution has been a serious issue for the public health. Among various pollutants, fine particulate matters (PM2.5) is associated with distinct serious health problems, e.g., asthma, cancer, cardiovascular and respiratory diseases. To raise the awareness of the community and decision makers in order to solve the air-pollution problem, the level of the PM2.5 index should be monitored. In this paper, we propose a dashboard system for monitoring air pollution based on PM2.5. A portable device (i.e., Edimax Airbox) was installed inside the building of Stikom Surabaya college to measure the PM2.5 level. The sensors in this device read the PM2.5 level, air temperature, and humidity level, and then it transmits the data to the cloud service. The cloud platform makes the collected data accessible through an open data API that allows our system to interact with the data in the JSON format. The data then was parsed in a web server and visualized in a dashboard system. The dashboard system provides two indicators, the live PM2.5 sensor measurement and the measurement history. The dashboard successfully visualized the indicator of air pollution index, based on PM2.5 standards by WHO and Dinas Kesehatan Indonesia (the Indonesian Department of Health). Within seven days of the study, PM2.5 level reaches the maximum value of 65 µg/m3 with the average value of 39.36 µg/m3 on July 8, 2018. This is an alarming rate given that the indoor average level threshold of PM2.5 by WHO is 25 µg/m3.
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Rusdi, Zyad, and Dedi Trisnawarman. "REKAYASA PERANGKAT LUNAK SISTEM MONITORING DAN EVALUASI PROGRAM PEMBANGUNAN DESA." Computatio : Journal of Computer Science and Information Systems 2, no. 2 (October 31, 2018): 169. http://dx.doi.org/10.24912/computatio.v2i2.2567.
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Village development programs are a major concern of the central government. This is manifested in Law no. 6 of 2014 and the substantial distribution of village funds. Villages have considerable authority and resources in realizing the objectives of the village development program. However, the village development process should be monitored and evaluated so that the planned objectives can be realized.This study aims to build an application software that can be used as an instrument to perform monitoring, evaluation and prediction in the process of village development. The method used is a prototyping software engineering method that involves the user and adapted to the dashboard development methodology. Stages of dashboard development consist of identification key perfomance indicator, analysis, function design, dashboard design, and testing.This research produces a web based application software with desapandai.com domain, which can be used to assist village administration in monitoring, evaluation and decision making in village development process.
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Reszel, Jessica, Sandra I. Dunn, Ann E. Sprague, Ian D. Graham, Jeremy M. Grimshaw, Wendy E. Peterson, Holly Ockenden, et al. "Use of a maternal newborn audit and feedback system in Ontario: a collective case study." BMJ Quality & Safety 28, no. 8 (February 16, 2019): 635–44. http://dx.doi.org/10.1136/bmjqs-2018-008354.
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BackgroundAs part of a larger study examining the effectiveness of the Maternal Newborn Dashboard, an electronic audit and feedback system to improve maternal-newborn care practices and outcomes, the purpose of this study was to increase our understanding of factors explaining variability in performance after implementation of the Dashboard in Ontario, Canada.MethodsA collective case study. A maximum variation sampling approach was used to invite hospitals reflecting different criteria to participate in a 1-day to 2-day site visit by the research team. The visits included: (1) semistructured interviews and focus groups with healthcare providers, leaders and personnel involved in clinical change processes; (2) observations and document review. Interviews and focus groups were audio-recorded and transcribed verbatim. Qualitative content analysis was used to code and categorise the data.ResultsBetween June and November 2016, we visited 14 maternal-newborn hospitals. Hospitals were grouped into four quadrants based on their key indicator performance and level of engagement with the Dashboard. Findings revealed four overarching themes that contribute to the varying success of sites in achieving practice change on the Dashboard key performance indicators, namely, interdisciplinary collaboration and accountability, application of formal change strategies, team trust and use of evidence and data, as well as alignment with organisational priorities and support.ConclusionThe diversity of facilitators and barriers across the 14 hospitals highlights the need to go beyond a ‘one size fits all’ approach when implementing audit and feedback systems. Future work to identify tools to assess barriers to practice change and to evaluate the effects of cointerventions to optimise audit and feedback systems for clinical practice change is needed.
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Sullivan, Patrick Sean, Cory R. Woodyatt, Oskian Kouzouian, Kristen J. Parrish, Jennifer Taussig, Chris Conlan, and Harold Phillips. "America’s HIV Epidemic Analysis Dashboard: Protocol for a Data Resource to Support Ending the HIV Epidemic in the United States." JMIR Public Health and Surveillance 8, no. 2 (February 10, 2022): e33522. http://dx.doi.org/10.2196/33522.
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Background The Ending the HIV Epidemic (EHE) plan aims to end the HIV epidemic in the United States by 2030. Having timely and accessible data to assess progress toward EHE goals at the local level is a critical resource to achieve this goal. Objective The aim of this paper was to introduce America’s HIV Epidemic Analysis Dashboard (AHEAD), a data visualization tool that displays relevant data on the 6 HIV indicators provided by the Centers for Disease Control and Prevention. AHEAD can be used to monitor progress toward ending the HIV epidemic in local communities across the United States. Its objective is to make data available to stakeholders, which can be used to measure national and local progress toward 2025 and 2030 EHE goals and to help jurisdictions make local decisions that are grounded in high-quality data. Methods AHEAD displays data from public health data systems (eg, surveillance systems and census data), organized around the 6 EHE indicators (HIV incidence, knowledge of HIV status, HIV diagnoses, linkage to HIV medical care, viral HIV suppression, and preexposure prophylaxis coverage). Data are displayed for each of the EHE priority areas (48 counties in Washington, District of Columbia, and San Juan, Puerto Rico) which accounted for more than 50% of all US HIV diagnoses in 2016 and 2017 and 7 primarily southern states with high rates of HIV in rural communities. AHEAD also displays data for the 43 remaining states for which data are available. Data features prioritize interactive data visualization tools that allow users to compare indicator data stratified by sex at birth, race or ethnicity, age, and transmission category within a jurisdiction (when available) or compare data on EHE indicators between jurisdictions. Results AHEAD was launched on August 14, 2020. In the 11 months since its launch, the Dashboard has been visited 26,591 times by 17,600 unique users. About one-quarter of all users returned to the Dashboard at least once. On average, users engaged with 2.4 pages during their visit to the Dashboard, indicating that the average user goes beyond the informational landing page to engage with 1 or more pages of data and content. The most frequently visited content pages are the jurisdiction webpages. Conclusions The Ending the HIV Epidemic plan is described as a “whole of society” effort. Societal public health initiatives require objective indicators and require that all societal stakeholders have transparent access to indicator data at the level of the health jurisdictions responsible for meeting the goals of the plan. Data transparency empowers local stakeholders to track movement toward EHE goals, identify areas with needs for improvement, and make data-informed adjustments to deploy the expertise and resources required to locally tailor and implement strategies to end the HIV epidemic in their jurisdiction.
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Dong, Ruiyu, Chaofeng Shao, Shuqi Xin, and Zhirui Lu. "A Sustainable Development Evaluation Framework for Chinese Electricity Enterprises Based on SDG and ESG Coupling." Sustainability 15, no. 11 (June 1, 2023): 8960. http://dx.doi.org/10.3390/su15118960.
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In 2021, China’s power generation industry took the lead in launching carbon emissions trading, ushering in a major challenge and opportunity for the sustainable development of power enterprises. Assessing the sustainable development performance of power enterprises has become the key to the sustainable financing and development of power enterprises in this new developmental stage. Based on the integration of the long-term UN Sustainable Development Goals (SDGs) and the ESG (Environmental, Social, and Governance) evaluation indicators of listed companies, this paper constructed an index system for the evaluation of the sustainable development of electric power companies consisting of 75 indicators corresponding to four dimensions: economic, social, environmental, and governance. Given the vision for the sustainable development of electric power companies, the assessment thresholds for each indicator were determined by the practical exploration and typical progress assessment of SDGs. Aggregate assessment and dashboard assessment techniques for the sustainable development of electric power companies were established, and we conducted a robustness analysis of the evaluation system. The results revealed the following details: (1) The disclosure of sustainable development indicators of Chinese electricity enterprises was 94.13%, among which the four dimensions of economy, environment, society, and governance were 99.89%, 82.62%, 94.00%, and 97.71%, respectively. (2) The aggregate sustainable development index for Chinese power companies was 59.34, and the environment, society, governance, and economic scores were 62.10, 64.49, 76.79, and 41.37, respectively. (3) Based on the results of the dashboard, investment in innovation, public welfare, emissions of greenhouse gases, and economic sustainability are the key factors limiting the achievement of sustainable development. (4) The framework’s robustness analysis showed that the results of the evaluation of this paper’s indicator framework fell within a reasonable range of variation using different ranking and weighting systems. Chinese electricity companies should comprehensively control costs and expenses, strengthen capital management, expand funding channels, focus on enhancing R&D capabilities, enhance their scientific and technological innovation management systems, and improve their disclosure of information about greenhouse gas emissions, resource consumption and use, and employee issues to improve the overall level of sustainable development. The evaluation system developed in this paper further enriches the evaluation of corporate sustainability performance. This paper explored the application of the SDG index and dashboard construction methods at the national level to the evaluation of sustainability at the corporate level, providing a clear picture of corporate performance with respect to various dimensions, issues, criteria, and indicators.
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Ismail, Ammar Asyraf, Muhammad Arief Azizi, and Asnazulfadhli Zariman. "Smart Water Level Indicator." International Journal of Recent Technology and Applied Science 2, no. 1 (March 18, 2020): 48–58. http://dx.doi.org/10.36079/lamintang.ijortas-0201.59.
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Smart Water Level Indicator
The Water Level Indicator is beneficial to the public, especially to residents living in rivers. This technology can provide early warnings to residents when the water level is occupying a dangerous level and facilitates workers who control the dam of the river. This technology can alert early through sirens and notifications / messages via smartphones as well as to the river dashboard controllers capable of controlling water gates through their smartphones. The worker who controls the dam of this river no longer needs to go back to the dam's door control house to open the water dam door. Workers who are in charge of controlling dam need to stand in one place only to open their smartphones and control the dam's doorway using the fingertips. To the people living in the river, they do not have to worry about the floods that will happen in their area. They will get an early warning about the flood at any time even when they are sleeping. They will get the warning via notification on their smartphone and siren is places in a certain area to produce a loud noise so that residents can be prepared to face the disaster. It is expect that the Water Level Indicator is able to take a step further and can be use as best as possible and can help the local community
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Basar, Abdul Rohmad, Doni Sofyawan, and Uus Kusnadi. "DASHBOARD BERBASIS WEB MOBILE TERHADAP PENJUALAN DAN STOCK CONTROLLING." JR : Jurnal Responsive Teknik Informatika 2, no. 02 (December 30, 2018): 1–6. http://dx.doi.org/10.36352/jr.v2i02.230.
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PT Momentum Otomasi Indonesia merupakan salah satu perusahaan yang bergerak dalam bidang perdagangan serta jasa. Dalam melaksanakan operasional terutama perdagangan serta pendataan barang, PT Momentum Otomasi Indonesia mengalami kendala pada saat pembuatan laporan dan pendataan stok barang. Tujuan dari penelitian ini adalah untuk merancang aplikasi dashboard berbasis web mobile terhadap penjualan dan stock controlling pada PT Momentum Otomasi Indonesia, dengan adanya sistem dashboard sebagai bentuk visualisasi informasi mempunyai keunggulan dapat menampilkan key performa indicator yang membuat user dapat mengetahui data-data yang ada. Objek dalam penelitian ini adalah pembuatan laporan penjualan serta pendataan stok barang pada bulan Januari – Agustus 2018. Rancangan sistem ini menggunakan metode Object Oriented Analysis and Design (OOAD) dengan metode pemodelan Unified Modeling Language (UML) serta pengujian sistem menggunakan blackbox dengan menggunakan sistem database MySQL dan bahasa pemrograman PHP.
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Tanwir, Taufik Dwi Saputra, and Johan Setiawan. "Visualisasi Perbandingan Anggaran Pendapatan Dan Belanja Daerah (APBD) Pemerintah Provinsi Kabupaten Dan Kota Di Indonesia Periode 2010-2014." Jurnal ULTIMA InfoSys 7, no. 2 (December 12, 2016): 100–105. http://dx.doi.org/10.31937/si.v7i2.547.
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Regional Income and Expenditure Budget (APBD) is a very important thing in the progress of a region. APBD is an indicator of public welfare level in a region. Data of APBD that is shared on the official website data.go.id is still hard to read and understood, and for that reason the author will compare the budget value of APBD in every province, district, and city by using visualization. The method the author used is Visual Data Mining by creating an APBD visualization dashboard according to provinces, districts, and cities. Tableau Software is used to create the dashboard because Tableau allows an interactive, easy-to-use dashboard for analyzing lots of data. Besides, Tableau is already supported by many platform such as web based, iPhone app, also Android app, and this application is one of the common for visualization so there are a lot of sources to get more information and to develop visualization. The result of this research could help the government in reevaluating the APBD financial budget in every region in Indonesia. This research can help the people to know the APBD budget applied in every region.
Index Terms-Regional Income and Expenditure Budget (APBD), financial, visualization.
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Mutiah, Nurul. "Performance Measurement and Monitoring Information System Using Performance Dashboard Method." CESS (Journal of Computer Engineering, System and Science) 7, no. 1 (January 29, 2022): 238. http://dx.doi.org/10.24114/cess.v7i1.29766.
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Pengukuran kinerja diperlukan untuk mengevaluasi dan mengetahui pencapaian target suatu organisasi. Program Studi (Prodi) Ilmu Pemerintahan Universitas Tanjungpura merupakan Prodi yang mendidik baik dari segi akademis maupun pembinaan karakter praja dengan konsep boarding school. Proses pembinaan masih dilakukan secara manual sehingga organisasi kesulitan dalam memproses dan memantau kondisi praja yang dibina dan melihat hasil capaian pembinaan. Permasalahan tersebut mengakibatkan evaluasi kinerja pembinaan praja menjadi kurang efektif dan efisien karena tidak ada pemantauan kondisi pembinaan secara real-time. Metode Performance Dashboard dapat digunakan oleh organisasi untuk mengukur, memantau, dan mengatur kinerja organisasi dalam bentuk grafik kinerja berbasis Key Performance Indicator (KPI). Penelitian ini menghasilkan Sistem Informasi Pengukuran dan Pemantauan Kinerja pada Prodi Ilmu Pemerintahan Universitas Tanjungpura yang berguna untuk memantau dan mengukur kinerja pembinaan praja secara real-time. Berdasarkan hasil evaluasi menggunakan teknik pengujian Black-Box didapat bahwa Sistem Informasi Pengukuran dan Pemantauan Kinerja yang dibangun dapat diimplementasikan pada Prodi Ilmu Pemerintahan Universitas Tanjungpura.
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Trisnawarnman, Dedi, and Zyad Rusdi. "DESAIN DASHBOARD UNTUK PENDUKUNG SISTEM CERDAS ANALISIS KESESUAIAN KEBUTUHAN DAN KETERSEDIAAN SUMBERDAYA PEMBANGUNAN DESA MANDIRI." Computatio : Journal of Computer Science and Information Systems 2, no. 1 (May 22, 2018): 14. http://dx.doi.org/10.24912/computatio.v2i1.1109.
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Tujuan dari penulisan makalah ini adalah perancangan dashboard dari suatu sistem cerdas untuk membantu pengambilan keputusan pembangunan desa. Model yang diusulkan terdiri dari dua bagian yaitu model penilaian kesesuaian kebutuhan dan ketersediaan sumberdaya (MPK3S) dan model evaluasi dan monitoring kinerja. Data yang diperoleh baik data primer maupun data skunder diintegrasikan dalam bentuk pemodelan data untuk analisis multidimensional yaitu data warehouse dan proses ETL (Extract, Transform and Load). Metode yang digunakan dalam model pertama (MPK3S) adalah gabungan /hybrid beberapa metode MCDA (Multi Criteria Decision Making) seperti AHP (Analitical Hierarcy Process), electre, serta algoritma cerdas data mining untuk klasifikasi dan prediktif. Penelitian ini menghasilkan suatu model evaluasi dan monitoring kinerja menggunakan metode perhitungan KPI (key perfomance indicator) dan Perfomance Prism dalam aplikasi digital dashboard. Hasil akhir dari penelitian adalah sebuah aplikasi sistem cerdas yang mampu membantu dalam pengambilan keputusan untuk menentukan prioritas masalah pembangunan desa, menentukan alternatif solusi masalah pembangunan dan melakukan monitoring serta evaluasi kinerja.
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Marx, Cyril, Elem Güzel Kalayci, and Peter Moertl. "Temporal Dashboard Gaze Variance (TDGV) Changes for Measuring Cognitive Distraction While Driving." Sensors 22, no. 23 (December 6, 2022): 9556. http://dx.doi.org/10.3390/s22239556.
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A difficult challenge for today’s driver monitoring systems is the detection of cognitive distraction. The present research presents the development of a theory-driven approach for cognitive distraction detection during manual driving based on temporal control theories. It is based solely on changes in the temporal variance of driving-relevant gaze behavior, such as gazes onto the dashboard (TDGV). Validation of the detection method happened in a field and in a simulator study by letting participants drive, alternating with and without a secondary task inducing external cognitive distraction (auditory continuous performance task). The general accuracy of the distraction detection method varies between 68% and 81% based on the quality of an individual prerecorded baseline measurement. As a theory-driven system, it represents not only a step towards a sophisticated cognitive distraction detection method, but also explains that changes in temporal dashboard gaze variance (TDGV) are a useful behavioral indicator for detecting cognitive distraction.
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Alex de Vasconcellos Garcia, Gabriel Resende Machado, Carla Chrystina de Castro Pacheco Ferreira, Edward Hermann Haeusler, Jefferson Barros dos Santos, Edmilson Varejão, Pedro Schneider, et al. "ENSIGHTS: Intelligent Monitoring of Electric Power Transmission Assets." European Conference on the Impact of Artificial Intelligence and Robotics 4, no. 1 (November 17, 2022): 36–44. http://dx.doi.org/10.34190/eciair.4.1.928.
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This work aims to use Data Science techniques to build predictive models that will eventually improve maintenance plans regarding power transformers by reducing shutoffs and transmission downtime. This work is part of a 36-month long Research and Development (R&D) project started on January 2021, as of the writing of this report the project is halfway through. The analytic models described herein have already been tested while most of the remaining work is yet to be done. In a single Data Lake environment, we will consolidate several databases from information systems that support the company's operation and maintenance processes. Various machine learning models will run on this data, and their results will appear in a dashboard, alongside several traditional indicators. This process will be integrated and consolidated in a computing platform with cloud architecture. We use Machine Learning (ML) to develop the models. Based on an Agnostic Probably Approximately Correct (PAC) Learning study of the available datasets estimating their Vapnik–Chervonenkis dimension, we choose Random Forests (RF) algorithms to be used in the new indicators. So far, the project has produced two new indicators: Chromatographic Assay Indicator (CAI) and Electrical Failure Risk Indicator (EFRI). The CAI indicator evaluation uses a Random Forest Algorithm trained with an external dataset due to the small number of power transformers failures in the O&M data. This indicator performed much better than classical chromatographic indicators to predict electric or temperature problems on the test set. The EFRI indicator correlates monitoring data available from an existing Supervisory Control and Data Acquisition (SCADA) system with maintenance data from an existing Enterprise Resource Planning (ERP) system through a RF algorithm capable of alerting to a higher risk of electric failure. ANEEL funds this work as R&D project PD-00394-1907/2019 titled “Aplicabilidade de nova tecnologia voltada para o desenvolvimento de um modelo de monitoramento inteligente dos ativos de transmissão”.
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Alex de Vasconcellos Garcia, Gabriel Resende Machado, Carla Chrystina de Castro Pacheco Ferreira, Edward Hermann Haeusler, Jefferson Barros dos Santos, Edmilson Varejão, Pedro Schneider, et al. "ENSIGHTS: Intelligent Monitoring of Electric Power Transmission Assets." International Conference on AI Research 4, no. 1 (November 17, 2022): 36–44. http://dx.doi.org/10.34190/icair.4.1.928.
Full textAbstract:
This work aims to use Data Science techniques to build predictive models that will eventually improve maintenance plans regarding power transformers by reducing shutoffs and transmission downtime. This work is part of a 36-month long Research and Development (R&D) project started on January 2021, as of the writing of this report the project is halfway through. The analytic models described herein have already been tested while most of the remaining work is yet to be done. In a single Data Lake environment, we will consolidate several databases from information systems that support the company's operation and maintenance processes. Various machine learning models will run on this data, and their results will appear in a dashboard, alongside several traditional indicators. This process will be integrated and consolidated in a computing platform with cloud architecture. We use Machine Learning (ML) to develop the models. Based on an Agnostic Probably Approximately Correct (PAC) Learning study of the available datasets estimating their Vapnik–Chervonenkis dimension, we choose Random Forests (RF) algorithms to be used in the new indicators. So far, the project has produced two new indicators: Chromatographic Assay Indicator (CAI) and Electrical Failure Risk Indicator (EFRI). The CAI indicator evaluation uses a Random Forest Algorithm trained with an external dataset due to the small number of power transformers failures in the O&M data. This indicator performed much better than classical chromatographic indicators to predict electric or temperature problems on the test set. The EFRI indicator correlates monitoring data available from an existing Supervisory Control and Data Acquisition (SCADA) system with maintenance data from an existing Enterprise Resource Planning (ERP) system through a RF algorithm capable of alerting to a higher risk of electric failure. ANEEL funds this work as R&D project PD-00394-1907/2019 titled “Aplicabilidade de nova tecnologia voltada para o desenvolvimento de um modelo de monitoramento inteligente dos ativos de transmissão”.
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Sreenishanth, S., R. Soundararajan, and N. Babu. "Design and development of manual and voice assisted turn indicator for automobiles." i-manager's Journal on Mechanical Engineering 14, no. 1 (2024): 22. http://dx.doi.org/10.26634/jme.14.1.20767.
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As the utilization of roadways increases, the probability of accidents happening also increases. So to overcome this, Uturn paths were created in place of signals. So, waiting on the signal was totally avoided, eliminating pollution in traffic signal areas. The design and development of manual and voice-assisted U-turn indicators for automobiles are discussed in this paper. The design of this system requires the development of a new circuit to accommodate the voice control system for the indicators using Google Nest Mini and the button operated, which is controlled by a MQTT app in a tab with Wi-Fi connectivity. These devices are connected to the power supply unit to charge them through USB connectors, and the NodeMCU is used for the controlling of the whole system and responsible for the displaying of the indicator signs on the 16x16 LED wall placed on the vehicle. There are conventional indicators also present in the vehicle, along with the newly developed voice-controlled and button operated MQTT app, which will control the left and right turn indicators and the left and right U-turn indicators when a specific voice command is given to the microcontroller through Google Nest Mini. By using this technology, people can reduce the lack of communication during the U-turn and control the indicator, which is a hands-free operation. Placing this technology on the vehicle will increase the safety of the automobile and reduce the risk of accidents. This system allows people to control the voice-assisted control system and an integrated dashboard control system to control the U-turn indicators and the normal indicators with ease.
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Adriansyah, Aveicena Kemal, Ari Yanuar Ridwan, and Umar Yunan Kurnia Septo Hediyanto. "Designing and ERP System: A Sustainability Approach." JOIV : International Journal on Informatics Visualization 6, no. 2-2 (August 20, 2022): 498. http://dx.doi.org/10.30630/joiv.6.2-2.1117.
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Technology has grown up massively, which is numerous aspects. Whether the system is limited or open source, had to adapt to certain circumstances. For instance, decades ago, people mainly used to have a paper to work on reporting or to make notes. These days, people started to migrate the work stuff into digitalization. Furthermore, environmental pollution has been triggered by emissions from vehicles. Moreover, due to a lack of knowledge and resources to solve this issue, the manufacturing process does not apply the sustainability process. This matter has led to an impenetrable environmental issue in the manufacturing area for years. Therefore, developing a sales module dashboard system that is configured on Sales Order (SO) transactions and customer data could assist the problem-solving process. The reason for this matter is to highlight the Key Performance Indicator (KPI) at the sustainability that has been added by the open-source Enterprise Resources Planning (ERP) System and display the indicator of data visualization application. Furthermore, the development of the ERP system is aligned with the purpose of the Quickstart methodology that was applied in this research. To sum up, the sales module dashboard system is designed to assist the new user in this implementation in classifying the material, process, or products that require consideration to be maintained. Moreover, to reduce the number of raw materials or shipment processes that did not apply the eco-friendliness
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Santos-Luna, René, Susana Román-Pérez, Gerardo Reyes-Cabrera, María del Rosario Sánchez-Arcos, Fabián Correa-Morales, and Marco Antonio Pérez-Solano. "Web Geographic Information System: A Support Tool for the Study, Evaluation, and Monitoring of Foci of Malaria Transmission in Mexico." International Journal of Environmental Research and Public Health 20, no. 4 (February 13, 2023): 3282. http://dx.doi.org/10.3390/ijerph20043282.
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Malaria is currently an endemic disease in Mexico. The country joined the WHO’s E-25 initiative for the elimination of Plasmodium vivax to achieve elimination and certification within the established period. Having a Web-based information system was, therefore, deemed necessary to assist in the detection, investigation, and elimination of transmission in the foci, as well as for the timely treatment of malaria-positive cases. The “Information System for the Elimination of Malaria in Mexico” was designed, developed, and implemented with a geographic vision, which includes a Web tool to georeference homes and aquatic systems, a dashboard and an indicator evaluation card for monitoring activities, notification of probable cases, and vector control among other indicators. The implementation of the system was gradual in the seven states that are currently in the malaria elimination phase; subsequently, the system was implemented in non-transmission states. In 2020, the system implementation stage began; first, the basic data of more than 96,000 homes throughout the country were georeferenced, and then the primary data capture tools of 17 formats, 32 reports, and 2 geographic viewers were enabled for information queries. A total of 56 active foci have been identified in 406 localities as well as 71 residual foci in 320 localities. Recently, the Foci Manager was developed, which is a specific tool for the study, evaluation, and monitoring of active foci through a GIS, a dashboard, and a systematized evaluation certificate. Georeferencing tools decreased the cost of spatial data collection.
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Nikolaidou, Anastasia, Efthymis Papadopoulos, Ioannis Politis, and Socrates Basbas. "An Indicator-Based Methodological Framework for Assessing an eMaaS Scheme." World Electric Vehicle Journal 14, no. 7 (July 14, 2023): 186. http://dx.doi.org/10.3390/wevj14070186.
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Mobility as a Service (MaaS) and, more recently, electric Mobility as a Service (eMaaS) have increasingly been put forward to meet the economic, social, and environmental challenges linked to mobility. First, however, monitoring and evaluating such a scheme’s performance is crucial, mainly through the definition of appropriate indicators. In this study, a standardised methodological approach is presented for the assessment of an eMaaS scheme. In addition, this methodological approach contains a range of innovative Key Performance Indicators (KPIs). The proposed KPIs refer to the evaluation of the scheme based on four pillars: (a) society, (b) users, (c) operators, and (d) internal operation. The methodology for evaluating the proposed KPIs includes identifying the available sources for data collection. For example, data can be collected through questionnaire surveys, focus group discussions, and the system’s central dashboard. An appropriate set of indicators to evaluate a system from various perspectives is necessary to assess an eMaaS scheme in real-life conditions. Furthermore, the evaluation of the overall operation of the scheme will contribute to drawing valid conclusions (e.g., user acceptance, economic viability) for the implementation of eMaaS in urban areas.
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Paramartha, Dede Yoga, Ana Lailatul Fitriyani, and Setia Pramana. "Development of Automated Environmental Data Collection System and Environment Statistics Dashboard." Indonesian Journal of Statistics and Its Applications 5, no. 2 (June 30, 2021): 314–25. http://dx.doi.org/10.29244/ijsa.v5i2p314-325.
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Environmental data such as pollutants, temperature, and humidity are data that have a role in the agricultural sector in predicting rainfall conditions. In fact, pollutant data is common to be used as a proxy to see the density of industry and transportation. With this need, it is necessary to have automated data from outside websites that are able to provide data faster than satellite confirmation. Data sourced from IQair, can be used as a benchmark or confirmative data for weather and environmental statistics in Indonesia. Data is taken by scraping method on the website. Scraping is done on the API available on the website. Scraping is divided into 2 stages, the first is to determine the location in Indonesia, the second is to collect statistics such as temperature, humidity, and pollutant data (AQI). The module used in python is the scrapy module, where the crawling is effective starting from May 2020. The data is recorded every three hours for all regions of Indonesia and directly displayed by the Power BI-based dashboard. We also illustrated that AQI data can be used as a proxy for socio-economic activity and also as an indicator in monitoring green growth in Indonesia.
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S, Shreyas. "Design and Development of IIoT Dashboard for Overall Equipment Effectiveness Monitoring of CNC Machine Tools." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 1603–12. http://dx.doi.org/10.22214/ijraset.2021.39578.
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Abstract: Smart Manufacturing systems are regarded as the fourth revolution in the manufacturing industry, which is shaped by widespread deployment of sensors and Internet of Things. The present work constitutes of ‘Development of Industrial Internet of Things (IIoT) Dashboard for ‘Overall Equipment Effectiveness’ (OEE) Monitoring of CNC Machine Tools’ for a legacy CNC machine which is converted to smart machine. Data fetched from the CNC controllers through OPCUA is sent to the connected cloud database which will be imported into PowerBI desktop and the data has been classified and processed according to the requirement to develop a data modelling architecture of OEE, the Working status of the machine is visualized by Creating Monitoring and Performance charts and graphs of different design in Microsoft PowerBI Desktop. The Advanced visualizations constitutes od various features along with different analysing capabilities that results is creating reports which enumerates the state of OEE as a Key Performance Indicator (KPI). As Microsoft Power BI pertains a set of pre-established steps for data processing, the situation designated may constitute a limitation to automatic data refresh, leading to a do-over to verify, the specific interval of time, the conformity of data so they can be imported into the system. Keywords: Industrial Internet of Things (IIoT), Open Platform Communications United Architecture (OPCUA), Computer Numerical Control (CNC), Overall Equipment Effectiveness (OEE), Key Performance Indicator (KPI).
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Pawlak, Grzegorz Marek, and Zbigniew Wołczyński. "The Indicator of GDI Engine Operating Mode and Its Influence on Eco-Driving." Applied Sciences 12, no. 5 (February 23, 2022): 2325. http://dx.doi.org/10.3390/app12052325.
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Elements of car construction, especially the information available on a dashboard, can stimulate the way of driving. The experiment described in the paper aimed to examine how the information provided by the indicator, which informs about the operational mode of a gasoline direct injection (GDI) engine, can contribute to eco-driving and the possible learning of acceleration pedal operation by a driver. The analysis of the fuel injection process affected by driver behaviour was an essential part of the experiment. The experiment was divided into two parts. The first one (nine tests) consisted of driving without access to the indicator information. In the second part, the information on the mode of the engine run was available for the driver. The results confirmed that the information about the type of fuel mixture used for the supply of the GDI engine facilitates an economical driving style (about 10% fuel savings) and motivates the driver to engage in eco-driving.
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Fadly, Muhtad, Dina Ros Muryana, and Adhie Thyo Priandika. "SISTEM MONITORING PENJUALAN BAHAN BANGUNAN MENGGUNAKAN PENDEKATAN KEY PERFOMANCE INDICATOR." Journal of Social Sciences and Technology for Community Service (JSSTCS) 1, no. 1 (April 28, 2020): 15. http://dx.doi.org/10.33365/jta.v1i1.669.
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PT Indojava Kreasindo is one of the distributors of Kramik sanitari granite, which has a role in distributing these goods throughout the city of Lampung and its surroundings. The management of ceramic and granite sales data has been summarized in the sales recap sheet for each sales each month in writing so it takes a long time to find out the achievements of each sales each month. Therefore, the authors propose the application of sales monitoring to make it easier to find out the achievements of each sales per month. To solve this problem, we need the most effective solution, which is the Development of Monitoring Application for Building Materials Sales Using the Key Performance Indicator (KPI) Approach. In the development of this application using the waterfal method. For the data flow method using the Usacase Diagram, Activity Diagram. The concept used is monitoring using the KPI approach to facilitate the general manager in monitoring the sales of each sales. With the construction of a web-based information system and sales monitoring application aims to make it easier for the general manager to monitor the sales of each sales so that it does not require a long time and is presented in the form of a dashboard.
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Monica, Icca Mita. "Developing Sustainable Procurement System based on Enterprise Resource Planning." JATISI (Jurnal Teknik Informatika dan Sistem Informasi) 8, no. 2 (June 17, 2021): 752–63. http://dx.doi.org/10.35957/jatisi.v8i2.917.
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The manufacturing industry is an industry that pays attention to every stage of the production process. One of which is the leather industry. However, the business processes for procuring goods, selecting suppliers, making purchase documents, and others are done manually without using an integrated system so that business processes are not properly monitored. Besides, the leather industry is also environmentally unfriendly because the waste produced can pollute the environmental ecosystem. A system is needed to monitor and integrate the business processes with environmentally friendly standards based on these problems. This research focuses on developing a system based on Enterprise Resource Planning (ERP) for the procurement department by applying sustainable procurement. Sustainable procurement is a procurement practice that ensures the goods purchased conform to environmentally friendly attributes that can minimize the impact of hazards on the environment. This study also aims to design a system for monitoring the procurement business process. Therefore, an analysis will be carried out to determine the Key Performance Indicator (KPI). This data will be displayed on the dashboard to show and compare the company's performance. The results of this study are the design of a sustainable procurement system and a dashboard based on ERP.
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Sudarsono, Bambang, Hamid Nasrullah, Fanani Arif Ghozali, and Aji Apri Setiawan. "Car Brake Works as Indicator Tool." Jurnal E-Komtek (Elektro-Komputer-Teknik) 5, no. 1 (June 29, 2021): 133–41. http://dx.doi.org/10.37339/e-komtek.v5i1.559.
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Accidents caused by malfunctioning of the brake light system are increasing in line with the rise in road facilities. It provides space for drivers to drive vehicles quickly. To overcome this problem, a system that can signal the driver must rapidly identify the damaged brake lights. The purpose of this study was to produce a car brake indicator tool. This tool is an electronic device that functions to determine the brake light when one of the brake lights is off by automatically giving a signal on the car's dashboard. The method used to produce brake work indicator tools consists of designing, manufacturing, and testing. The testing process has been carried out through a lux meter, and the test variables include testing the use of electric current, voltage when the tool is working, and trying the performance of the device on the car. From testing this tool, the results obtained when the current usage of the tool is working, namely before the induction works of 2 amperes and when the induction works it is 0.5 amperes. The magnitude of the voltage when the device is used is 11.8 volts. Based on the experiments that have been carried out, there are no disturbances in the lighting system or other systems on the car when this tool is working. This tool can work well to provide convenience and comfort when driving by car. Based on the experiments that have been carried out, there are no disturbances in the lighting system or other systems on the vehicle when this tool is working. This tool can work well to provide convenience and comfort when driving by car. Based on the experiments that have been carried out, there are no disturbances in the lighting system or other systems on the vehicle when this tool is working. This tool can work well to provide convenience and comfort when driving by car.
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Angelia Destriana, Kristoko Dwi Hartomo, and Hanna Prillysca Chernovita. "Visualization of Sales Field Activity Data Using Operations Dashboard for ArcGIS." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 4, no. 4 (August 17, 2020): 697–703. http://dx.doi.org/10.29207/resti.v4i4.2096.
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The process of manually recording and visualizing data that has high and complicated transaction rates, is no longer relevant for analyzing errors that often occur in company. The impact is the information generated becomes inaccurate in decision making. Problems that are often experienced by companies in visualizing data are non-real-time, non-integrated data, and irregular data visualization. In an effort to minimize problems such as real-time, not integrated, and irregular data visualization, the role of data visualization is needed to improve company performance. Based on these problems the researcher provides a solution, namely designing a geographic information system visualizing sales field activity data, by providing information about visualizing sales field activity data in real-time through the widget contained in the Operations Dashboard for ArcGIS (ODA). The stages of this research are the study of literature, entering polygon zones, making application-based forms, making application-based coordination, inputting dummy data, collecting data, making maps, making data visualization applications, and analyzing data. The results of this study can monitor workers who have good performance that is seen from the indicator completed most of each worker shows that geobiz_admin has completed as many as 6 completed. And can know the movement (tracking) of workers who come out of the work zone, from the analysis there is one mobile worker who came out of Zone II and entered Zone I and Zone III.
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Zuo, Chenyu, Linfang Ding, and Liqiu Meng. "Visual Analytics for Regional Economic Environment Factors Based on a Dashboard Design." Proceedings of the ICA 2 (July 10, 2019): 1–8. http://dx.doi.org/10.5194/ica-proc-2-158-2019.
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<p><strong>Abstract.</strong> Economic environment is vital for commercial investment, city planning and company strategy planning in urban areas. Mastering the economical trend may help the entrepreneurs, government officers and individuals in their decision-making process. In this study, we explore multiple geo-economic datasets using visual analytics methods for understanding the economic environment. More specifically, we user time-series Gross Domestic Product (GDP) data as an economic indicator of economic development and land use data to support the spatial analysis at a refined geographic scale. The spatiotemporal patterns of the regional economic environment are revealed both qualitatively and quantitatively. The work has a three-fold contributions: (1) we apply a grid-based spatial interpolation model to derive GDP values at a file granularity based on land use data; (2) we design a novel interactive dashboard for the GDP data exploration, which serves as a visual analytical tool between data and users; (3) we combine quantitative analysis with visualizations to strengthen the qualitative analysis. The feasibility of visual analytics methods and the dashboard design are tested in one of the most developed regions, Jiangsu Province, China. Both expected and unexpected economical patterns were extracted.</p>
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Wibisono, Mochammad Rizal, and Muhammad Asrol. "A Dashboard Design of Key Performance Indicator for Monitoring and Improving Employee Performance in the Maintenance Service Industry." International Journal of Management and Decision Making 22, no. 1 (2023): 1. http://dx.doi.org/10.1504/ijmdm.2023.10053195.
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Heksaputra, Dadang, M. J. U. Haris Bahrudin, Anni Karimatul Fauziyah, and Dhina Puspasari Wijaya. "ANALISIS ANTENATAL CARE (ANC) PADA SURVEILANS KESEHATAN IBU DAN ANAK DENGAN TAHAPAN AGREGASI PIPELINE NOSQL." Indonesian Journal of Business Intelligence (IJUBI) 4, no. 1 (June 27, 2021): 16. http://dx.doi.org/10.21927/ijubi.v4i1.1754.
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Case 30.8 percent of Indonesian children under five are stunted. Bantul is a district in the Province of D.I. Yogyakarta, Indonesia, is a locus of stunting. Bantul has ten villages. The ten villages include Patalan Jetis Village, Canden Jetis Village, Terong Dlingo Village, Argodadi Sedayu Village, Triharjo Pandak Village, Triwidadi Pajangan Village, Jatimulyo Dlingo Village, Datangharjo Sewon Village, Sendangsari Pajangan Village, and Trimulyo Jetis Village. The research focuses on the village of Argodadi Sedayu. In the village of Argodadi Sedayu, Antenatal Care (ANC) research would be conducted. Antenatal Care (ANC) is a pregnancy check by a doctor or midwife. Therefore, Antenatal Care Analysis (ANC) is needed to determine whether diet, parenting, and sanitation are well programmed. Antenatal care (ANC) research framework was a model of method improvement. The method improvement model consists of indicators, proposed methods, objectives, and measurements. The indicators consist of monitoring instruments and health visits. The proposed method uses an aggregation pipeline stage. The data was processed in the aggregation pipeline stage. The data were obtained from the time series data surveillance dataset. The research objective was to analyze the research results accurately according to the proposed method. Measurement of indicator analysis with the application of the dashboard as a performance indicator on the research results. Practically, it is hoped that the research results could consider the health office and related institutions in reducing or even elevating Argodadi Sedayu Village in Yogyakarta as a non-locus of stunting using massive monitoring of diet, parenting, and sanitation well programmed.
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Federico, Giovanna, Gianfranco Rizzo, and Marzia Traverso. "In itinere strategic environmental assessment of an integrated provincial waste system." Waste Management & Research: The Journal for a Sustainable Circular Economy 27, no. 4 (May 7, 2009): 390–98. http://dx.doi.org/10.1177/0734242x09103821.
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In the paper, the practical problem of analysing in an integrated way the performance of provincial waste systems is approached, in the framework of the Strategic Environmental Assessment (SEA). In particular, the in itinere phase of SEA is analysed herein. After separating out a proper group of ambits, to which the waste system is supposed to determine relevant impacts, pertinent sets of single indicators are proposed. Through the adoption of such indicators the time trend of the system is investigated, and the suitability of each indicator is critically revised. The structure of the evaluation scheme, which is essentially based on the use of ambit issues and analytical indicators, calls for the application of the method of the Dashboard of Sustainability for the integrated evaluation of the whole system. The suitability of this method is shown through the paper, together with the possibility of a comparative analysis of different scenarios of interventions. Of course, the reliability of the proposed method strongly relies on the availability of a detailed set of territorial data. The method appears to represent a useful tool for public administration in the process of optimizing the policy actions aimed at minimizing the increasing problem represented by waste production in urban areas.
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Albertina, Evania Chrestella, Albertus Dwiyoga Widiantoro, and Agus Cahyo Nugroho. "Performance and Transaction Monitoring Dashboard Website Based PT Emporia Digital Raya." SISFORMA 11, no. 1 (June 24, 2024): 1–9. http://dx.doi.org/10.24167/sisforma.v11i1.3520.
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Performance and Transaction Monitoring Dashboard Website Based PT. Emporia Digital Raya was to find out performance of business partners, area leader, main dealer and approval of business partners that have been acquired for the company. This dashboard is made to make it easier for companies and product owners to monitor acquisition, transactions through an integrated and non-manual system to minimize errors. Performance and Transaction Monitoring Dashboard was developed using the initial UI design method to describe all the functions that will be available on the web, then developed with reactJS library and JavaScript language, API, and PostgreSQL as database. The testing phase uses technology adoption with a focus on validity, reliability, and AVE test variables after distributing questionnaires to all website users, internal team of PT. Emporia Digital Raya using quantitative methods by classifying each question in the questionnaire. Then the result is that there are several test variables that are not valid in the validity test because they have an item validity value or the validity of the question variable is below 0.4, then the variable must be removed and retested, and after the second test, the results show that the variable has the above item validity value. 0.4 so it is considered valid. In the first validity test, the variable E was declared invalid due to an error in the classification of the questionnaire and did not represent an indicator, so that the variable E was not included in the next test. In the reliability test, only BI and EE variables have high or acceptable Cronbach alpha values, while FC (poor) and PE (unacceptable) or unreliable due to the incorrect classification of questions on the questionnaire causing the variables to be unreliable to be used in further research. In the correlation test, only PE and FC were significantly correlated with BI, while EE was not significantly correlated due to errors in the classification of the questionnaire so that it did not match the variables.
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Abdullah, Aziman, and Asar A.K. "Assuring Academic Integrity of Supervisor Appointment in Post-Graduate Program with Data-Driven Decision Making Strategy: A Proposal." Journal of Governance and Integrity 5, no. 1 (November 29, 2021): 141–54. http://dx.doi.org/10.15282/jgi.5.1.2021.6619.
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Research supervision is one of the important aspect in academic quality assurance and the sustainbility of the science itself. However, there is lack of attention based on research literature and evidence of good practice on research supervision from the context of academic integrity in higher education. This study aims to develop a data-driven decision making strategy in supervisor selection for post-graduate program based using research projects data. Apart of that, the researchers reviewed the indicator of academic integrity in research supervisory from program standards in masters and doctoral degree by Malaysia Qualification Agency (MQA), international recommendation by UNESCO and Islamic principles according to the roles of the supervisor, administrator and student in the context of research supervisory. This study adopted data analytics and visualization technique using cloud-based collaborative platform as a research method for data acqusition, processing and analyzing the data. The researchers acquired the research projects profile data registered in the institutional database in Universiti Malaysia Pahang from Department of Research and Innovation as a case study. We categorized and mapped the research profile according to Malaysian Research and Development Classification System (MRDCS) code. The combined data was been analyzed and visualized to specific online dashboard to indicate the research experience in fraction of years as a metric. The researchers evaluate the characteristics of the dashboard based on the academic integrity indicators from MQA, UNESCO and Islamic principles as our measures. The result shows that there is a potential usefulness of the proposed strategy in assuring academic integrity for supervisor selection in post-graduate programmes. This novel approach has a potential impact on academic integrity in higher education which can be adopted at larger scale by higher education institution in Malaysia.
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van de Baan, Frank Christian, Stijn Lambregts, Esther Bergman, Jasper Most, and Daan Westra. "Involving Health Professionals in the Development of Quality and Safety Dashboards: Qualitative Study." Journal of Medical Internet Research 25 (June 12, 2023): e42649. http://dx.doi.org/10.2196/42649.
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Background Dashboards are an important tool for hospitals to improve quality and safety performance. However, implementing quality and safety dashboards often does not increase performance due to a lack of use by health professionals. Including health professionals in the development process of quality and safety dashboards can improve their use in practice. Yet, it remains unclear how a development process involving health professionals can be executed successfully. Objective The aim of this study is twofold: (1) to delineate how a process whereby health professionals are included in the development of quality and safety dashboards can be facilitated and (2) to identify the factors that are important to consider in order to make that process successful. Methods We conducted a qualitative, in-depth exploratory case study in which we analyzed 150 pages of internal documents and interviewed 13 staff members regarding the development of quality and safety dashboards within 2 care pathways of a hospital that has experience in such development. The data were analyzed inductively using the constant comparative method. Results We found that the development of quality and safety dashboards in collaboration with health professionals was facilitated through a five-stage process: (1) familiarizing participants with dashboards and the development process; (2) brainstorming about potential indicators to be included in the dashboard; (3) prioritizing, defining, and selecting indicators to be included in the dashboard; (4) examining how the indicators can be visualized; and (5) implementing the dashboard and following up on its use. To enhance the success of the process, 3 factors were deemed important. The first is to create and maintain broad involvement, ensuring that various professions are represented and take ownership of the dashboard. Here, potential barriers include gaining engagement from peers not directly involved in the process and maintaining involvement after the initial implementation of the dashboard. Second, unburdening, whereby quality and safety staff facilitate a structured process that has little additional burden for professionals. For this, time management and a lack of collaboration with departments responsible for delivering the data might be an issue. Lastly, focusing on relevance for health professionals, which refers to the inclusion of indicators with value for health professionals. For this factor, a lack of consensus on how indicators should be defined and registered might be a barrier. Conclusions Health care organizations seeking to develop quality and safety dashboards in collaboration with health professionals can use a 5-stage process. To enhance the success of the process, organizations are advised to focus on 3 key factors. For each of the key factors, potential barriers should be taken into account. Engaging in this process and attaining the key factors could increase the likelihood that the dashboards are used in practice.