Journal articles on the topic 'Sales management Data processing'
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1
Dede Serlina, Anggun Fergina, and Ivana Lucia Kharisma. "Cement Distribution System in CV. Indosatu With a Supply Chain Management Approach." Applied Technology and Computing Science Journal 5, no. 1 (December 29, 2022): 11–20. http://dx.doi.org/10.33086/atcsj.v5i1.3275.
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CV. Indosatu, which is engaged in building material, a three-wheel cement distributor, has more than 80 customers for building shops and projects located in the Sukabumi city and district areas, so a sales and delivery information system is needed that helps customers and receives fast information, as well as for sales. and the admin will make it easier for orders received from the store and forwarded to the admin section to be verified for further delivery by the logistics section, for sales and stock data information it will be easier to get too.This system will be built using PHP Nativ framework, JavaScript, CSS and MySQL databaseThe final result obtained is a system with (SCM) Supply Chain Management used by CV. Indosatu. This system is able to provide information about orders from sales, store information, shipping information and stock information. From the test results on users, it shows that this marketing and logistics management system helps in processing sales data and processing stock shipping data.
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Harjunawati, Sri, Syahrial Addin, Ida Hendarsih, and Amas Sari Marthanti. "Keberhasilan Manajemen Penjualan Lasser Work Service Zigzag di Semarang Menggunakan Java (Netbeans 7.3)." Profitabilitas 1, no. 2 (December 28, 2021): 113–20. http://dx.doi.org/10.31294/profitabilitas.v1i2.756.
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This research examines the success of Sales Information System Management at Zigzag Lasser Work Service, Semarang, Indonesia. The proposed system is a computerized information system where data can be managed and integrated properly and built with Java programming (Netbeans 7.3) based on localhost. With the proposed Sales Information System, it is able to produce fast, accurate and timely information to facilitate processing of product data, order data, payment data, delivery data or delivery of goods. Sales reports and income reports are generated automatically with integrated processing so as to produce reports that are accurate, fast and can be justified. The speed of data processing and minimizing the occurrence of human error can help management reduce costs in order to apply economic principles to achieve maximum profit.
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Dandy, Dandy, and Rino Rino. "Implementation of Business Intelligence in Data Superstore Sales with Online Analytical Processing Method." bit-Tech 3, no. 2 (April 18, 2021): 44–50. http://dx.doi.org/10.32877/bt.v3i2.182.
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Transaction data in superstore sales data are very useful for company development, can be used to describe and forecast or predict future sales transaction data and to study the past about business opportunities and challenges. The use of Business Intelligence (BI) technology can help analyze large amounts of data, in addition, BI is a powerful tool for quality analysis and company analysis. This study designed an information system using the BI approach to analyze transaction data on superstore sales data. The research focus is on report data, namely superstore sales data regarding sales transactions. This study uses the OLAP method to describe data visualization so that it provides benefits and competitive advantages. This system can improve the quality of decisions taken in solving the problem of abundant data accumulation, monitoring operational activities, fulfilling information needs and effective data management. Business intelligence is expected for company leaders to be able to understand the data that will have been processed in understanding visual forms and can easily absorb the information needed to make decisions for the company. In addition, with the design of website-based business intelligence that is effective and efficient to produce opportunities in making decisions to predict the increase or decrease that will occur in the coming years using the histories in the superstore sales data of the previous years
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Dewi, Irma Amelia, Yusup Miftahuddin, Muhammad Assidiq Fattah, Cikal Bingah Palenda, and Syahrul Fathurrahman Erawan. "Point of Sales System in InHome Café Website using Agile Methodology." Journal of Innovation and Community Engagement 1, no. 1 (March 10, 2021): 01–19. http://dx.doi.org/10.28932/jice.v1i1.3321.
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The Point of Sales (POS) system is a system that supports sales transactions where POS is currently evolving because it can record sales, record inventory, print invoices, calculate profits and improve services for businesspeople and entrepreneurs. InHome Café is one of the growing cafe in Subang, Bandung. Ease of access to purchase products through online services led to an increase in transactions. At InHome Café Subang, data management, data processing, and sales transaction processing used to rely on a manual system or paper-based recording, which open to risks in data management and security. Therefore, to solve the problem, a website-based Point of Sales System was developed to record sales, collect inventory, print invoices, calculate profits using the PHP programming language with the CodeIgniter framework, and MySQL. The system was developed using the Agile development system with a reasoning that a short-term system development that emphasizes client satisfaction was required. The system functionality testing resulted in a success rate of 96.15%.
Keywords: agile, café, point of sales, scrum, website
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Adzri, Salza, and Vina Merliana. "INFLUENCE OF ONLINE, FINANCIAL MANAGEMENT, AND APPLICATION TOWARDS SALES EFFECTIVENESS." Journal of Accounting INABA (JAI) 1, no. 1 (June 30, 2022): 1–9. http://dx.doi.org/10.56956/jai.v1i1.10.
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This study aims to analyze the effect of online financial management applications on sales of MSMEs (Micro, Small, and Medium Enterprises) in Bandung. The sample in this study used 80 MSMEs with various types of businesses including those engaged in fashion, culinary, services, and trade. This research method is quantitative with a descriptive verification approach. Data processing using SPSS application version 25 with multiple linear regression testing. The results showed that the variables had an effect on sales effectiveness. Partially, application variables have no effect on sales effectiveness, while financial management variables and online variables affect the effectiveness of MSMEs sales in Bandung City.
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Widiadnyana, Putu, M. Azman Maricar, I. Nyoman Arnawan, and Sri Ariyani. "Analysis of Data Warehouse for Transactional Analysis Methods Online Analytical Processing (OLAP) at Company XYZ Silver." International Journal of Engineering and Emerging Technology 2, no. 1 (September 23, 2017): 72. http://dx.doi.org/10.24843/ijeet.2017.v02.i01.p15.
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Utilization of information technology is a necessity in looking at opportunities available for decision making by the management. With the ability of information technology to analyze existing used the data into useful information for a company. OLAP is Able to Overcome problems in the data processing mechanisms guided to know various information from different angles. By utilizing transactional analysis, then we know the reaction of customers in choosing the products that we will market. The result of Web-based sales has Decreased for the Gianyar and Denpasar regions but has Increased for the Ubud and online areas so as to give a benefit in terms of production costs. With the training for a sales increase of sales can evenly across locations and need input from customers related to minimize returns.
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Silalahi, Arina Prima, and Harlen Gilbert Simanullang. "DASHBOARD MANAGEMENT PENJUALAN DAN PEMBELIAN PADA TANGKAHAN IKAN." METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi 4, no. 2 (September 10, 2018): 8–13. http://dx.doi.org/10.46880/mtk.v4i2.63.
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Technology has an important role in the implementation of human activities at this time, including in business activities. Today's technology is widely used to manage business activities with various forms of display/templates that are easy to use. Dashboards are used to display data concisely. Reports can be viewed quickly through a summary of the data displayed on the dashboard. So much data processing makes business activities that still carry out manual recording and see the report data sequence is felt to be less effective. Utilization of technology is highly needed by owners of small businesses when facing business management constraints such as a long time to manage data, loss of sales data, purchases and reports recapitulation errors. Besides, the need for fast and accurate data and information access is also needed to support and monitor business management. Based on these problems, a solution is needed to manage the overall sales and purchasing data, and display reports quickly and accurately by carrying out a study entitled "Dashboard Management of Sales and Purchases of Fish in Fish Spots".
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Dhio Saputra. "Goods Stock Management using the K-Means Algorithm Method." Jurnal Teknologi 10, no. 1 (April 30, 2020): 22–45. http://dx.doi.org/10.35134/jitekin.v9i2.15.
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The grouping of Mazaya products at PT. Bougenville Anugrah can still do manuals in calculating purchases, sales and product inventories. Requires time and data. For this reason, a research is needed to optimize the inventory of Mazaya goods by computerization. The method used in this research is K-Means Clustering on sales data of Mazaya products. The data processed is the purchase, sales and remaining inventory of Mazaya products in March to July 2019 totaling 40 pieces. Data is grouped into 3 clusters, namely cluster 0 for non-selling criteria, cluster 1 for best-selling criteria and cluster 2 for very best-selling criteria. The test results obtained are cluster 0 with 13 data, cluster 1 with 25 data and cluster 2 with 2 data. So to optimize inventory is to multiply goods in cluster 2, so as to save costs for management of Mazayaproducts that are not available. K-Means clustering method can be used for data processing using data mining in grouping data according to criteria.
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Olva, Maria, Ririt Dwiputri Permatasari, Sanusi Majid, Pratiwi Syair, and Afdal Suganda. "Pemanfaatan Dasbor pada Pemantauan Data Transaksi Penjualan." Journal of Engineering, Technology, and Applied Science 3, no. 1 (April 14, 2021): 1–15. http://dx.doi.org/10.36079/lamintang.jetas-0301.188.
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Penelitian ini bertujuan untuk mengimplementasikan dasbor pada pemantauan data transaksi penjualan di PT. Prima Labeling. Data pada sistem diperoleh dari hasil aliran informasi pengolahan data penjualan dan aliran data informasi pemanfaatan dasbor pada pemantauan data transaksi transaksi penjualan pada PT. Prima Labeling. Model sistem yang digunakan adalah UML yang mana pengembangan sistem penelitian menggunakan metode OOAD. Sistem informasi dirancang berbasis situs web dengan menggunakan bahasa pemrograman PHP dan database MySQL. Teknik penelitian kualitatif, dengan mengumpulkan data-data dan informasi secara deskriptif. Hasil penelitian ini pengguna dapat mengelola transaksi dengan mudah sekaligus dapat melakukan memantau transaksi penjualan pada waktu yang sebenarnya sehingga mempermudah proses pengelolaan data dan transaksi penjualan pada PT. Prima Labeling.
Implementing a Dashboard for Monitoring Sales Transaction Data
Abstarct: Objective of the research is to monitoring sales transaction data at PT. Prima Labeling by implemented a dashboard. Data on the system is obtained from the results of the sales data processing information flow and dashboard utilization information of data flow monitoring sales transaction data at PT. Prima Labeling. System model used is UML where the research system development uses the OOAD method. Information system is designed based on a website using the PHP programming language and MySQL database. Qualitative research techniques is applied by collecting data and information descriptively. Results of this research users can easily manage transactions as well as monitor sales transactions in real time, thus simplifying the process of data management and sales transactions at PT. Prima Labeling.
Keyword: Dashboard, Monitoring, Sales Transactions, UML, OOAD.
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Gołaś, Zbigniew. "IMPACT OF STOCK MANAGEMENT ON THE PROFITABILITY OF MILK PROCESSING COMPANIES." Annals of the Polish Association of Agricultural and Agribusiness Economists XXI, no. 3 (August 10, 2019): 82–92. http://dx.doi.org/10.5604/01.3001.0013.3314.
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This paper analyzes the relationships between the productivity of stocks and the return on assets of milk processing companies. Productivity of stocks was measured as the Days Sales of Inventory (DSI) for materials, intermediate products, work-in-progress, finished products and commodities, and as the DSI for total stocks. The study was based on corporate micro-data from 2007–2016 retrieved from the EMIS database. Based on panel regression models, it was concluded that an improvement in stock management efficiency, measured with the Days Sales of Inventory, is positively correlated to the return on assets of milk processing companies. Although it was considerably shorter in the milk sector than in the entire food industry throughout the study period, it grew longer each year. This evolution means a deterioration in the efficiency of stock management of finished products which, in the long run, may adversely affect the financial performance of milk producers. The parameters of the estimated regression models clearly confirm it is reasonable to reduce DSIs.
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Akbar, Gilang Nur, Gilang Ramadhan, Muthmainnah, and Seliwati. "Manajemen Sistem Informasi Akuntansi Penjualan Menggunakan Microsoft Visual Studio 2019 di Café More Wyata Guna Bandung." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 6, no. 4 (May 15, 2022): 616–23. http://dx.doi.org/10.35870/jtik.v6i4.619.
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Café more is a business project of the Indonesian Ministry of Social Affairs through the Center for Social Rehabilitation of Persons with Sensory Disabilities Netra Wyata Guna Bandung. The author's purpose of conducting this research is to compile a management design for sales accounting information system using Microsoft Visual Studio 2019 and database MySQL. In this study, the authors use qualitative methods with interview data collection methods, literature study data or observation. And also the system development method used is the prototype. From the results of this study, a problem was found, namely the processing of cafe more sales data reports is still manual so that sales reports are still irregular and prone to errors in making the report and the information presented is less accurate. With this sales information system management design, the author hopes to simplify the work of employees in managing sales data and sales reports quickly and accurately.
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Jiang, Wan, and Qinxuan Gu. "How abusive supervision and abusive supervisory climate influence salesperson creativity and sales team effectiveness in China." Management Decision 54, no. 2 (March 21, 2016): 455–75. http://dx.doi.org/10.1108/md-07-2015-0302.
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Purpose – Adopting the social information processing theory and social comparison theory, the purpose of this paper is to examine how abusive supervision and abusive supervisory climate jointly influence salesperson creativity, sales team creativity, and team performance. Design/methodology/approach – The study conducted hierarchical linear modeling and hierarchical regression to analyze the paired data from 102 sales teams comprising 319 salespeople and 102 managers. Findings – At the individual level, abusive supervision had negative effect on salesperson creativity via psychological safety. Abusive supervisory climate played a cross-level moderating role in the relationship between abusive supervision and psychological safety. At the team level, abusive supervisory climate was negatively related to sales team creativity via averaged salesperson creativity and negatively associated with sales team performance through sales team creativity. Originality/value – This study adds to knowledge of how abusive supervision and abusive supervisory climate jointly affect salesperson psychological safety and creativity. It also contributes to abusive supervision and creativity literature by linking abusive supervisory climate and sales team creativity by integrating social information processing theory and social comparison theory.
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Triyandana, Genta, Lala Aprianti Putri, and Yuyun Umaidah. "Penerapan Data Mining Pengelompokan Menu Makanan dan Minuman Berdasarkan Tingkat Penjualan Menggunakan Metode K-Means." Journal of Applied Informatics and Computing 6, no. 1 (May 9, 2022): 40–46. http://dx.doi.org/10.30871/jaic.v6i1.3824.
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Data mining can be used to find solutions in making sales decisions to increase sales. Sales data storage stores many sales transaction records, where each document provides products purchased by customers in each sales transaction. A problem began to arise with an excess stockpiling of materials. The number of fluctuating sales causes the stock of available materials to be unstable and can directly impact consumers. Mistakes in predicting sales caused the coffee shop to buy large quantities of material stock, which were not widely used or sold out, so the supply of these materials swelled in the warehouse. One way to be implemented is by applying data mining because there are ways and methods to meet needs, one of which is the need for extensive information, then the information that we can use to determine quality in determining a decision. Therefore, it is hoped that this research can help Dpom Coffee minimize material stock inventory management cases such as shortages and excesses and make policies to increase sales by grouping menus based on sales levels using the K-means algorithm. Based on the results of processing the sales dataset at Dpom Coffee, it produces 3 clusters, namely Cluster 1 with eight menus with low sales levels, cluster 2 with 40 menus with moderate sales levels, and cluster 3 with seven menus with high sales levels. The accuracy or performance of the k-means algorithm results in a Davies Bouldin index value of 0.457.
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Teng, Yue. "Application Research of Computer Technology in the Decision Making of China's Supermarket Logistics Centers." Advanced Materials Research 442 (January 2012): 92–96. http://dx.doi.org/10.4028/www.scientific.net/amr.442.92.
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Logistics centers are mainly comprised by a series of operations from purchasing of goods to preservation, allocation, delivery, packaging and distribution. By drawing support from advanced management technology and modernized information exchange network, logistics centers have effectively connected production and consumption altogether, making all goods circulating under an efficient, harmonious and ordered state, which in return achieved best commercial efficiency and social efficiency. Currently, logistics management software is far from enough to satisfy customers' needs, and still remains on the level of purchase, sales and inventory management. This research is conducted in allusion to the actual situation of China's information-based logistics industry, with the objective to improve modern management level of logistics industry. According to the demands of domestic logistics enterprises, we employed OLAP technology for data processing, and data mining technology in decision-making analysis, which realized information-based management in logistics centers. On this basis, we realized basic purchase, sales and inventory management. Furthermore, we as well created the data warehouse, so as to perform online analysis, processing and data mining, to realize intensive processing of data, as well as to provide support for decision-making. Computer-aided decision-making software is the development direction of management software.
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Vladova, Alla, and Elena Shek. "Data preprocessing for machine analysis of sales representatives’ key performance indicators." Business Informatics 15, no. 3 (September 30, 2021): 48–59. http://dx.doi.org/10.17323/2587-814x.2021.3.48.59.
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Significant transformation of the operational activity of product and service distributors is driven by changes in data-receiving and processing technology. At present, the work of these companies’ representatives is digitized to a large extent: for example, the road time, the number and places of meetings with customers are automatically recorded. At the same time, the productivity of managers who do not make direct sales is usually evaluated with the help of surveys, experts and costly double visits, although the existence of large data samples makes possible the use of statistical analysis to identify both insufficient and inflated values of performance indicators. Source data: a relational database that accumulates information about 28 categorical, quantitative, geolocation and temporal parameters of sale representatives’ activities for the last year. Based on available data, we created synthetic features (the latitude and longitude features produced the index, region, street, and house features; based upon identifiers we calculated the sum of activities of sales representatives; according to temporary features we defined the season of the year, the day of the week and the period of day features). The methodology for statistical analysis consists of three main stages: collection and processing of primary data; summary and grouping processed information; setting statistical hypotheses and interpreting the results. A probabilistic approach was used to model the level of distortion of sale representatives’ activities. As a result, with the built tag cloud we highlighted: the most popular season for advertising campaigns; the most productive departments and sale representatives; days of the week with the largest number of contacts to customers. We established a significant number of records about meetings with clients at the weekends. As a result of the data mining, we made a statistical hypothesis about the possibility of identifying the sale representatives who distort the number and parameters of meetings. A set of synthetic integer, real and categorical features was created to identify hidden relationships. Doubtful data (such as working at weekends or at night) were revealed. The resulting aggregated dataset is grouped by a sale representative’s activity ID and the distribution of this feature is plotted. For each sale representative, integer and real features are summarized and outliers that characterize inefficient performance or distortion of data have been detected. Thus, the presence of a large sample of data on the history of movements and activities allowed us to evaluate the productivity of the distribution company’s sales representatives based upon indirect features.
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Supardi, Reno. "PENERAPAN METODE REGRESI LINEAR DALAM MEMPREDIKSI DATA PENJUALAN BARANG DI TOKO BANGUNAN VITA VIYA." Journal of Technopreneurship and Information System (JTIS) 3, no. 1 (April 4, 2020): 11–18. http://dx.doi.org/10.36085/jtis.v3i1.629.
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Abstract- Vita Viya lumberyard is one of the lumberyard is located on Semangka Street, Bengkulu city. During this time the processing sales data of goods in lumberyard is still done conventionally, namely using sales notes that occur every day. Then, the note data will be made into bookkeeping to find out how many sales of goods occur every month. Management of inventory also only sees the remaining items available in the lumberyard without looking at the sales of the item. The problem that often occurs in Vita Viya lumberyard is the management of inventory, where the building materials have a usage period so that they are not suitable for sale. The application in predicting sales data of goods in Vita Viya lumberyard was made by using the Visual Basic.Net programming language by applying the linear regression method. With the construction of the application can be used as an alternative in predicting the sales data of goods in the following month based on sales data that occurred in the last 2 years starting from January 2017 to December 2018. The 2-year data will be used as a data trend to determine the predicted value of goods sold at 1 year in the future. Based on the testing that has been done, it can be concluded that the application is able to predict the sale of goods for the next 1 year based on sales data that has been inputted previously. Based on the testing of error values using the MAPE and MSE methods, it was found that the error value of the predicted value obtained from the linear regression method used the MAPE method of 0.1244575. While, the result by using the MSE method of 14.25. Keywords: Linear Regression Method, Prediction of Vita Viya lumberyard.
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Nalawade, Prof S. A. "Forecasting Sales Using Azure." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (January 31, 2023): 1128–32. http://dx.doi.org/10.22214/ijraset.2023.48749.
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Abstract: The end-to-end business solution is helpful for any business trying to move their data to cloud for further processing, visualizing, monitoring, scaling their business/ business data. Most applications start as small, focused services that solve a single problem and solve it well. But, as a company grows, the needs of its customers multiply. One feature becomes two, which becomes four, then eight and so on. This is manageable, but only to a point. With each additional feature, the complexity of the application infrastructure expands. Figuring out how to properly manage the costs of a growing development environment is nearly as difficult as figuring out how to manage the development environment itself. In fact, the two issues are intertwined. All of these problems can hence be solved by using cloud technology like Flexibility in Operations, Reduction in cost, Increase in Transparency, Enhanced Risk Management and Improved Security. The proposed system is divided into four modules: Ingestion of raw data into the database by creating pipeline, Connecting the database to Machine learning service, Building the model for accuracy in prediction of the model, Visualizing the dataset into PowerBI
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Gołaś, Zbigniew. "Impact of working capital management on business profitability: Evidence from the Polish dairy industry." Agricultural Economics (Zemědělská ekonomika) 66, No. 6 (June 22, 2020): 278–85. http://dx.doi.org/10.17221/335/2019-agricecon.
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The main purpose of this paper was to examine the causative link between Working Capital Management (WCM) and Return On Assets (ROA) in milk processing companies. Days Sales of Inventory (DSI), Days Sales Outstanding (DSO), Days Payable Outstanding (DPO) and the Cash Conversion Cycle (CCC) were used as WCM metrics. The study was based on micro-data for Polish dairy companies from 2008–2017, retrieved from the Emerging Markets Information Service (EMIS) database. Based on panel regression models, it was demonstrated that extending the DSI and CCC had an adverse effect on ROA, whereas extending the DSO and DPO had a beneficial impact on ROA in dairy companies. Such relationships were mostly characteristic of SMEs which form the largest group of businesses in Poland.
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Irawan, Yuda. "Sistem Informasi Pemasaran Busana Syar’i dengan Penerapan Customer Relationship Management (CRM) Berbasis Web." INTECOMS: Journal of Information Technology and Computer Science 2, no. 1 (May 9, 2019): 1–9. http://dx.doi.org/10.31539/intecoms.v2i1.629.
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Toko Cahaya Sunnah is a business that produces and sells syar'i clothing. In its business development, Toko Cahaya Sunnah keep trying to expand its market target to out of town even all of Indonesia. To achieve its goal, Toko Cahaya Sunnah requires website. Currently in Toko Cahaya Sunnah in making sales report is still manual using excel application so that data processing of sales report still running slow and not yet detailed. Currently Toko Cahaya Sunnah does not have any special activities or strategies that handle marketing, product marketing is done in a conventional manner by providing customers with information about places, features and products to other potential customers. Ineffective information dissemination prevents customers from knowing the latest information in the Sunnah Light Store thus affecting customers to switch to other stores. With the website using the method of Customer Relationship Management (CRM) then the data storage process can be more accurate and stored neatly and making sales reports will be fast and timely and delivery of promotional information will be faster and response to sales will be faster.
Keywords: Information System, Customer Relationship Management (CRM), Web
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Elizabeth Sugiarto D, Edlyn Felicia,. "FAKTOR-FAKTOR YANG MEMPENGARUHI FIRM PROFITABILITY PADA PERUSAHAAN MANUFAKTUR TAHUN 2016-2018." Jurnal Paradigma Akuntansi 2, no. 4 (September 26, 2020): 1469. http://dx.doi.org/10.24912/jpa.v2i4.9325.
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The purpose of this study is to obtain evidence on the effect of sales growth, firm size, leverage, and cash management on firm profitability in manufacture companies listed in Indonesian Stock Exchange during 2016-2018. Sample was selected using purposive sampling method amounted to 289 samples. Data processing techniques using multiple linear regression analysis with helped by Statistical Package for Social//Science (SPSS) Program 22 version. The results of this study show that sales growth, firm size and cash management have positive influence towards firm profitability, while leverage has negative influence towards firm profitability.
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Kartini, Paskalia, Thommy Willay, and Riri Supriani. "MANAGEMENT INFORMATION SYSTEM DESIGN OF PRODUCTION AND SALES AT PT MANDIRI TEGUH INTI SEJAHTERA." SIMAK 20, no. 01 (June 1, 2022): 150–62. http://dx.doi.org/10.35129/simak.v20i01.327.
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The change of a period is marked by the development of technology at that time. The development of technology, especially information technology, is related to the increasingly sophisticated computer technology used throughout the world. This makes the role of computers is very important in all aspects of human life. PT Mandiri Teguh Inti Sejahtera is a company that runs a pile production business. Data processing is still done manually such as on calculation process in determining raw materials for production. Sometimes errors in calculation can lead in to errors in production as well. Technique of analyzing and designing system is Unified Modelling Language (UML), database design uses Microsoft SQL Server 2008 and the application is designed using Microsoft Visual Basic.Net 2010. The results is Information System Design of production and sales, it can help PT Mandiri Teguh Inti Sejahtera to produce more precise and accurate information in data processing and decision making processes that are more effective and efficient.
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Sandi, Fitra Adhitya, and Laila Septiana. "Perancangan Sistem Informasi Point Of Sales Berbasis Web Pada Perusahaan Sablon." Computer Science (CO-SCIENCE) 1, no. 2 (July 26, 2021): 123–30. http://dx.doi.org/10.31294/coscience.v1i2.267.
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The sales system that runs on CV. Wadas Warna Warni (Dyotees) is currently still done conventionally, according to the author's observation, it is very ineffective, where Customer Service has to make a conventional order form using Microsoft Excel which contains details of sales and sales calculations, then prints the order form and also disposes the order form. to the production, invoice creation and calculation which is still done conventionally using Microsoft Excel. This causes frequent input errors, data redundancies and also takes a long time to position orders to the production department, it is difficult to monitor sales that are being processed or have finished processing production and requires a long time in the process of calculating the income statement for the accounting department where the division is accounting must recap all invoice data. By designing the Point of sales (POS) Information system, it is hoped that it can simplify the sales process in which the creation and calculation of order forms automatically, report generation and also management of more organized sales data.
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Guo, Zhen, and Tao Zou. "Influencing Factors and Forecasting Statistics of Enterprise Market Sales Based on Big Data and Intelligent IoT." Wireless Communications and Mobile Computing 2021 (July 24, 2021): 1–13. http://dx.doi.org/10.1155/2021/9981581.
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With the acceleration of economic development, enterprise management is facing more severe challenges. Big data analysis based on the intelligent Internet of Things (IoT) has a positive effect on the development of enterprise management and can make up for the shortcomings of enterprise management. In this paper, we develop a big data processing method based on intelligent IoT which can mine the factors that affect the company’s market sales from the collected data. Then, we propose a KNN classification algorithm based on overlapping k -means clustering. This algorithm adds a training process to the traditional KNN algorithm, which can accurately classify data and greatly improve the efficiency of the classification algorithm. Numerical analysis results prove the effectiveness of the proposed algorithm.
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Maimunah, Maimunah, Berkat Jaya Batee, and Mega Agustina Margareta. "ENINGKATAN KINERJA ADMINISTRASI PENJUALAN CHEMICAL WATER TREATMENT PRODUCT DENGAN PEMANFAATAN SISTEM INFORMASI." Journal CERITA 3, no. 2 (August 1, 2017): 181–92. http://dx.doi.org/10.33050/cerita.v3i2.655.
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The use of computers and systems has become a major requirement in order to improve the performance of a company. Wastewater treatment company is a company engaged in the sale of chemical water treatment product. Where in the data processing is done manually consequentlyoften occur problems such as the same numbering with other invoices that result in errors in the manufacture of sales reports of goods, has not fulfilled the administrative control system and sales reports. In this study using MySQL for database management which can store all sales reports and present accurate data, and generate timely reports in accordance with the desired needs. All data related to the sales report system will be well stored and the results are more accurate. PHP is a programming language used for the design of proposed programs and Dreamweaver as a tool making program.
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Yanti, Jessica Stephanie,. "FAKTOR-FAKTOR YANG MEMPENGARUHI KINERJA PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BEI." Jurnal Paradigma Akuntansi 2, no. 2 (April 9, 2020): 873. http://dx.doi.org/10.24912/jpa.v2i2.7670.
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The objective of this study is to obtain an empirical evidence about the effect of intellectual capital, sales growth, capital structure, and working capital management on firm performance in manufacturing companies which listed on Indonesian Stock Exchange on 2016- 2018. Sample was selected using purposive sampling method amounted to 42 manufacturing companies that met the criteria. Data processing techniques using multiple regression analysis that helped with E-views 10.0 program. The results showed intellectual capital and working capital management have a significant impact on firm performance while sales growth and capital structure showed an insignificant impact.
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Abidin, Rohmad, and Taufik Kurnialensya. "Analisis dan Pengembangan Sistem Informasi Penjualan BBM Berbasis Android." ECONBANK: Journal of Economics and Banking 3, no. 2 (October 24, 2021): 164–71. http://dx.doi.org/10.35829/econbank.v3i2.218.
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In managing reports on sales of fuel oil (BBM) at gas stations xxx Semarang using reports in the form of paper. The sales report paper is then recapitulated by the Administrative Officer. When going to perform data processing, the officer finds it difficult to present the sales data requested by the Manager. To overcome the problems that exist in the manual system, it is necessary to create a BBM Sales Information System so that data management and report generation can be done better. This research focuses on sales data for each type of fuel. To illustrate the requirements of the system using a use case diagram. The information system that will be created is built for the Android operating system that runs on tablet devices to make it easier for operators to fill in fuel sales data. The database used is SQLite because it is one of the databases that support mobile devices. The new system development method uses a prototype model. The stages used in the development of this system include the needs identification stage, the design stage, the prototyping manufacturing stage, the testing stage, and the implementation stage. The results of the development show that the Gas Station Sales Recording Application can run well because it is according to the manager's needs.
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Felicia and Hendang Tanusdjaja. "Pengaruh Manajemen Aset, Pertumbuhan Penjualan, Leverage, Dan Ukuran Perusahaan Terhadap Kinerja Perusahaan." Jurnal Paradigma Akuntansi 4, no. 2 (April 30, 2022): 877–86. http://dx.doi.org/10.24912/jpa.v4i2.19680.
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This study aims to obtain empirical evidence of the effect of asset management, sales growth, leverage, and firm size on firm performance in the manufacturing industries listed on the Indonesia Stock Exchange in 2017-2019. The research sample used was 36 companies with purposive sampling method based on criteria. The data processing technique uses multiple linear regression analysis assisted by the SPSS version 25 and Microsoft Excel 2010 program The results of this study indicate that asset management has a positive and significant effect on firm performance, sales growth does not have a significant effect on firm performance, leverage has a negative and significant effect on firm performance, and firm size has no significant effect on firm performance. The implication of this research is the need to pay attention to asset management, sales growth, leverage, and company size to improve company performance and as a consideration for decision making for investors.
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Vennila, M., and C. Murthy. "Procurement and processing management of ragi in Karnataka." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 18, no. 1 (January 15, 2022): 219–24. http://dx.doi.org/10.15740/has/ijas/18.1/219-224.
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Ragi is an important food crop which can be cultivated under adverse soil and climatic conditions. The present study was conducted onprocurement and processing management of ragi in Karnataka. The study has been carried out based on primary data whichwere collected from the processors of ragi with the help of well-structured questionnaire and secondary data from the records of processing units. Growth rate analysis and budgeting technique was computed. The procurement in terms of quantity and value of raw materials of ragi increased at the growth rate of 3.94 per cent over the years and 11.17 per cent over the years, respectively. The capacity utilization of the ragi processing unit was 62.00 per cent with the annual quantity of ragi processed was 61.26 MT against the total annual installed capacity 98.80 MT. The results revealed that the net present value of the unit was found to be Rs.10.75 lakhs at the end of economic life of project. The total processing cost for the process of ragi was recorded as Rs. 34,461 per ton. Among total processing cost, the total variable cost was contributes a share of 85.35 per cent with worth of Rs. 29,412 per ton and fixed cost contributes a share of 14.65 per cent with worth of Rs. 5,049 per ton. The total cost incurred on value addition of ragi flour was Rs. 36,905 per ton. Out of 1000 kg of ragi, 980 kg of ragi flour was obtained and the value of the processed product was Rs. 55 per kg. The sales price of the ragi flour was Rs. 53,900 and the net profit obtained by selling the processed product was Rs.16,995.
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Aulia, Fira, Ikbal Yasin, Yuri Rahmanto, and Rahmat Trialih. "Web-Based Petroleum Sales Accounting Information System." Jurnal Ilmiah Sistem Informasi Akuntansi 2, no. 2 (November 30, 2022): 77–81. http://dx.doi.org/10.33365/jimasia.v2i2.2016.
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PT Radha Pratama Jaya is a business engaged in the sale of petroleum. Operations at PT Radha Pratama Jaya are carried out every day. With such an operating system, company management requires fast and accurate accounting information. So that the application of an accounting information system is needed by companies to get good information in order to facilitate the company's business activities. There are many sales transactions carried out in a day at PT Radha Pratama Jaya, and it causes employees to be unable to record transactions quickly. The use of computers that are still minimal because they still use a manual system makes the risk of misrepresentation very large. In addition, the archiving technique is not good, sales documents do not have duplicate documents so documents are easily lost because the storage is not good. The objective to be achieved in this study is to design a Web-Based Petroleum Sales Accounting Information System that is expected to be used by the Admin and sales department in assisting the Purchase and Sale of Petroleum at PT Radha Pratama Jaya. The method used in system development in this study is a prototype model because in the development of this system avoids time delays and costs far above what is budgeted to get a system that meets the needs of users. The result of this study is the processing of sales accounting information system data at PT Radha Pratama Jaya Bandar Lampung, currently, the data processing is still manual, resulting in the creation and search of purchase and sales reports needed by the leadership to be late when needed by the leadership. The Sales Accounting Information System at PT Radha Pratama Jaya Bandar Lampung can facilitate the search and update of data that will be used for the creation and search of Purchase and Sales reports needed by leaders
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Alfiah, Nurul, and Khusna Salsabila. "SISTEM INFORMASI PENDATAAN DAN PENJUALAN BERAS STUDY KASUS RUKUN JAYA." Jurnal Teknologi dan Bisnis 3, no. 1 (June 20, 2021): 90–97. http://dx.doi.org/10.37087/jtb.v3i1.51.
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Technological developments continue to move forward in an effort to facilitate a more effective and efficient work system. Rukun Jaya is a rice mill and rice sales business that requires information system technology in the process of managing its business. Data collection of goods that is still done manually is often an obstacle in the Rukun Jaya rice milling business. This causes the work system to be unstructured so that it becomes a waste of energy. This problem affects the estimation of decision making on the sale of goods. In determining the number of goods per production, if inventory checks are not carried out in the warehouse, it will be difficult to plan for the availability of goods in the future. Desktop application designed using MySQL and Microsoft Visual Studio Net. Facilities that can be in the form of admin data management, admin data processing, customer data, goods data, sales transactions and sales reports. The result of this information system design is a successful desktop application to facilitate Rukun Jaya owners in data collection and rice sales transactions
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Londhe, Sanket Tanaji, and Sushila Palwe. "Customer-Centric Sales Forecasting Model: RFM-ARIMA Approach." Business Systems Research Journal 13, no. 1 (June 1, 2022): 35–45. http://dx.doi.org/10.2478/bsrj-2022-0003.
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Abstract Background: Decision makers use the process of determining the best course of action by processing, analysing & interpreting the data to gain insights, known as Business Intelligence. Some decision support systems use sales figures to predict future expansion, but few consider the effect of customer data. Objectives: The main objective of this study is to build a model that will give a forecast based on fine-tuned sales numbers using some customer-centric features. Methods/Approach: We first use the RFM model to segment the customers into distinct segments based on customer buying characteristics and then discard the segments that are irrelevant to the business. Then we use the ARIMA model to do the sales forecasting for the remainder of the data. Results: Using this model, we were able to achieve a better fitment of the data for the prediction model and achieved a better accuracy when used after RFM analysis. Conclusions: We tried to merge two different concepts to do a cross-functional analysis for better decision-making. We were able to present the RFM-ARIMA model as a better metric or approach to fine-tune the sales analysis.
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Umarov, Sergey Z. "Processing and evaluation of qualitative data of the pharmaceutical market using economic and statistical methods." Pharmacy Formulas 2, no. 1 (March 28, 2020): 44–52. http://dx.doi.org/10.17816/phf25738.
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In competitive conditions of the pharmaceutical market, a significant factor is the problem of identifying market trends; the need to identify competitors and threats, resources assessment. For this purpose, it is necessary to constantly collect and generate data on the basis of which an informed decision is developed by the heads of pharmacy organizations. However, a certain category of pharmaceutical management believes that business decision-making should be based solely on intuition and practical experience, which excludes the use of any quantitative information.
In the course of the data study from the retail sector of the pharmaceutical market, the possible formats of practical application are considered.
The totality of data characterizing the business processes in the pharmaceutical market was evaluated by the degree of structure. A classification method was used to characterize the sampling based on the primary data processing, methods of cross tabulation and frequency analysis were implemented.
The nature of the data is clearly illustrated, which makes it possible, if necessary, to obtain new quantitative indicators, such as, for example, Total number of sales by visitor groups, Average number of sales, etc., characterizing pharmaceutical business processes.
The processing of high-quality data of marketing information about the pharmaceutical market by the methods of frequency analysis and cross tabulation allows one to determine reasonably accurate the preferences of visitors of a particular category, which makes it possible to optimize the assortment policy and effectiveness of the pharmaceutical company as well.
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Syahnita, Syahnita, Nofriadi Nofriadi, and Sudarmin Sudarmin. "Rancang Bangun Customer Relationship Management(CRM) Dalam Penjualan Berbasis E-Commerce." Building of Informatics, Technology and Science (BITS) 4, no. 1 (June 27, 2022): 18–27. http://dx.doi.org/10.47065/bits.v4i1.1485.
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The development of the business world has entered a new era, where there are more and more new companies and competing companies in the service, trade, and manufacturing sectors. The higher the level of customer education, the customer will indirectly become critical and careful in making their choices. In a situation like this, the company must not only rely on the products it produces, but the company must also establish good relationships with each of its loyal customers so that customers will be loyal to the company. Umi Nala Shop Aneka Serbu is engaged in sales such as selling children's toys, household appliances and various types of gifts. The problems that occur at Umi Nala Shop Aneka Serbu are, the sales process at Umi Nala Shop Aneka Serbu is still doing conventional sales, there are no facilities that help customers to get information, submit an assessment of the product and also experience difficulties in processing and storing customer data. who have made buying and selling transactions, there is no facility for customers to submit complaints or product evaluations. This study utilizes CRM features that aim to help the service system at Umi Nala Shop Aneka Serbu to attract new customers and retain old customers and expand the sales system. This application is made using the PHP programming language and MySQL as the database server. With this system, it is hoped that the system of marketing, sales, service and utilization of Customer Relationship Management will have a positive influence on customer loyalty so that customers remain loyal to Umi Nala Shop Aneka Serbu
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., Arpan, and Muhammad Arif Furqon. "Web-Based Sales and Fundraising Information System at Beri Perubahan Indonesia Foundation." International Journal of Research and Review 8, no. 10 (October 20, 2021): 230–41. http://dx.doi.org/10.52403/ijrr.20211030.
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This research departs from the problems faced by the management of Beri Perubahan Indonesia Foundation, namely (1) The absence of an information system that acts as a Transaction Processing System (TPS), (2) The absence of an information system that provides the best convenience and experience for users and donors in Beri Perubahan Indonesia Foundation equipped with payment gateways so that users are facilitated in every transaction they make. Based on these problems, researchers aim to solve existing problems. In this study researchers used descriptive qualitative research motto using primary data from unstructured interview results and secondary data derived from library studies, while to build the required system, researchers used one type of Agile method, namely Extreme Programming (XP). Based on the results of the study, it shows that researchers successfully fulfilled the purpose of this study or in a sense, with this study Beri Perubahan Indonesia Foundation already has an information system that acts as a Transaction Processing System (TPS) to manage sales and also fundraising or crowdfunding, and there has been a system that provides convenience and a good experience for users and donors at Beri Perubahan Indonesia Foundation. But in the article management section, the system has not been able to login one door, so to enter the Content Management System (CMS) page of the article, must login again. In the end, the sales and fundraising information system created and designed by researchers has met the research objectives and meets the needs of Beri Perubahan Indonesia Foundation. Keywords: Agile, Crowdfunding, Payment Gateway, Content Management System.
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Preasetianto, Singgih, Mahda F. B., Dimas Martha Kusuma, and Agus Dwi Cahya. "ANALISIS LAYANAN GO-FOOD DALAM MENINGKATKAN PENJUALAN PADA UMKM KULINER DI YOGYAKARTA." Jurnal Ilmu Ekonomi JIE 5, no. 3 (September 22, 2021): 461–71. http://dx.doi.org/10.22219/jie.v5i3.16830.
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This study aims to identify and analyze natural go-food services to increase culinary sales carried out by GO-JEK in Yogyakarta. This study uses a quantitative approach with a sampling technique using probability sampling. The sample in this study is culinary in Yogyakarta which is done with go-food services. Testing of data instruments in this study uses validity, reliability, and classical assumption tests, while data processing uses simple linear regression. The results showed that the go-food service had a significant and significant effect on increasing culinary sales in Yogyakarta.
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Preasetianto, Singgih, Mahda F. B., Dimas Martha Kusuma, and Agus Dwi Cahya. "ANALISIS LAYANAN GO-FOOD DALAM MENINGKATKAN PENJUALAN PADA UMKM KULINER DI YOGYAKARTA." Jurnal Ilmu Ekonomi JIE 5, no. 3 (September 22, 2021): 461–71. http://dx.doi.org/10.22219/jie.v5i3.16830.
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This study aims to identify and analyze natural go-food services to increase culinary sales carried out by GO-JEK in Yogyakarta. This study uses a quantitative approach with a sampling technique using probability sampling. The sample in this study is culinary in Yogyakarta which is done with go-food services. Testing of data instruments in this study uses validity, reliability, and classical assumption tests, while data processing uses simple linear regression. The results showed that the go-food service had a significant and significant effect on increasing culinary sales in Yogyakarta.
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Anaziah, Suni, and Johni S Pasaribu. "Pengembangan Sistem Informasi Persediaan Barang Berbasis Web di CV Kunikita." Jurnal ICT : Information Communication & Technology 20, no. 2 (December 30, 2021): 310–16. http://dx.doi.org/10.36054/jict-ikmi.v20i2.404.
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CV. Kunikita is a distributor in Garut city which is engaged in online sales for various product categories, namely food, fashion and skincare. As a distributor in the field of online sales, the management of storage of goods in the warehouse of CV. Kunikita is still by hand, that is, it is written in a ledger so that inventory information is not accurate. For this reason, it is necessary to use communication information technology in warehouse inventory management, no longer written in a ledger where this will result in data mismatches. The data collection method in this study is a qualitative descriptive method, and the methodology for developing this application is the waterfall SDLC method with black box testing and white box testing. Web-based information system application at CV. Kunikita with a database as a data storage facility that makes data processing and storage more efficient and useful for reporting data on warehouse inventory so that it can quickly take action to fill the warehouse inventory.
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Marwati, Ithri Setya Marwati. "Sosialisasi Dan Pelatihan Marketing E-Commerce Dan Sistem Informasi Akuntansi Untuk Mendukung Usaha Kecil Menengah (UKM) Kerajinan Logam Di Kecamatan Cepogo Boyolali Menghadapi Revolusi Industri 4.0." Adi Widya : Jurnal Pengabdian Masyarakat 6, no. 2 (November 1, 2022): 119–30. http://dx.doi.org/10.33061/awpm.v6i2.7773.
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MSMEs are the most important pillars in the Indonesian economy. The most famous copper craft center in Indonesia is Tumang Village, Cepogo, Boyolali, Central Java. It is called a craft center because of the local residents, some of whom are copper craftsmen. The problems that occur are the limited information technology and the ability to access technology and information from outside, as well as management that has not been implemented properly that can support the craftsman development program, both from the point of view of the professionalism of its human resources as well as in terms of product development, craft design equipment and management. In addition, sales systems and data processing are still carried out conventionally, resulting in limited marketing opportunities and transaction processing. The lack of literacy of SMEs towards information technology is the cause. Only about 25% of all business actors in Tumang have utilized technology for marketing and financial management. The implementation of this Community Service is intended to provide socialization and training as well as assistance to improve skills and knowledge for craftsmen to market their products on a global scale and provide electronic sales applications for craftsmen so that customers can get information quickly, and can make online shopping transactions. As well as a digital accounting information system that will increasingly provide convenience in creating accountable, transparent, and secure financial reports. This PKM activity was carried out by the Community Service Team (PKM) from the Management Economics Study Program at the Islamic University of Batik Surakarta through the 2021 Matching Fund grant. The PKM activity was aimed at brass and copper metal craftsmen in Tumang, Cepogo Boyolali. The methods used are socialization, training, and mentoring. The results of PKM activities are technological innovations in the form of a Marketplace Application called "Javacraft", which is a web application developed by the Islamic University of Surakarta Batik as an online sales medium or as a sales medium for MSMEs of local Indonesian handicrafts, especially copper or brass crafts in Tumang Boyolali, handicraft products and sales processing facilities. In addition, PKM activities also include socialization about digital marketing (e-commerce) and Accounting Information Systems (SIA), training and assistance in using the "Javacraft" Marketplace Application to support sales of brass and copper metal crafts in Tumang.
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Mono, Muhammad Suparmono, Andi Saryoko, and Ganda Wijaya. "Sistem Informasi Berbasis Web Soto Kudus Kembang Joyo." Reputasi: Jurnal Rekayasa Perangkat Lunak 1, no. 2 (December 14, 2020): 115–20. http://dx.doi.org/10.31294/reputasi.v1i2.89.
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The development of the technological world provides for humans in carrying out business transactions. With the existence of business process information systems or can be more efficient and effective. Soto Kudus still uses manual paper records in its business processes, so that data requests are less effective which causes data manipulation, and there are no web-based monitoring charts. By implementing a web-based information system, it is expected to be able to provide convenience in running business processes. The programming language used is using the PHP programming language with a codeigniter framework. For storing data, the author uses Mysqli. The results of this application to facilitate the admin in processing data and facilitating management in monitoring sales data charts, as well as saving paper usage and sales data security
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Fitriana, Rina, and Taufik Djatna. "Sistem Pendukung Keputusan Rantai Pasok Koperasi Pengolahan Susu X Di Jawa Barat." JURNAL TEKNIK INDUSTRI 1, no. 2 (July 21, 2011): 168–80. http://dx.doi.org/10.25105/jti.v1i2.7004.
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A decision support system is a computerized information system, designed to support business and organizational decision-making activities. Agroindustrial Supply Chain Management (Agro-SCM) is the management of the entire set of production, transformation/processing, distribution and marketing activities in agroindustry by which a consumer is supplied with a desired product. Milk Processing Cooperation has a strategic role to support the milk industry development in Indonesia. The purpose of this research is to make a proposal supply chain decision support system of Milk Processing Cooperative X in West Java. The first sub model is Sales and Purchase. The second sub model is a Quality Risk. Third sub model is the Forecasting. The fourth sub model is Transportation. The Fift sub model is Supply Chain Management. Validation and Verification of Decison Support System conducted through case studies with empirical data in Milk Processing Cooperative X in West Java
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Mair, Zaid Romegar, and Helen Yunita Sari. "Aplikasi Kasir Pada Adibah Boutique Berbasis Desktop." Jurnal Nasional Ilmu Komputer 2, no. 4 (November 21, 2021): 233–48. http://dx.doi.org/10.47747/jurnalnik.v2i4.535.
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Computers as human aids have advantages including speed, accuracy, and efficiency in data processing compared to manual systems. Computers have spread in various fields, both in the world of education and the world of work, including in the field of sales. Adibah Boutique has problems in terms of, among others, the irregularity of the management system, especially profit and loss, sales calculations (transaction activities), data collection of goods and preparation of sales reports still using manuals, cashier operators still use worksheet applications to complete each work activity, thus providing the impression of an impact that is less effective and efficient in terms of time and energy generated every day. Another problem in terms of the goods coding system and the absence of evidence between the seller and the buyer after the transaction raises a very basic problem, one solution is to use a desktop-based application that can manage sales information systems more easily thereby reducing the problems that occur in The Adibah Boutique. This application can be used as a commercial medium by the owner or staff of Adibah Boutique to make it easier to make sales transactions to consumers.
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Thio Lie Sha, Ariel Yoga Pradipta,. "Faktor Yang Mempengaruhi Dividend Payout Policies Pada Perusahaan Manufaktur Di BEI." Jurnal Paradigma Akuntansi 3, no. 4 (November 12, 2021): 1418. http://dx.doi.org/10.24912/jpa.v3i4.14955.
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The purpose of this study is to empirically examine the influence of corporate debt, corporate size, sales growth, and ROA on dividend payout policies in manufacturing industry that listed in BEI from the period 2017 – 2019. Sample selected using purposive sampling method with total 104 data from 38 companies. Data processing techniques using multiple regression analysis. This research used EViews 10 and Microsoft Excel 2016 to analyse the data. The result shows that corporate size and ROA have a positive significant effect on dividend payout policies. Corporate debt and sales growth have a negative insignificant effect on dividend payout policies. The research implication shows the importance of management to manage finances more effectively and efficiently, so that they are able to earn profits and be able to distribute dividends to attract investors to invest.
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Meswadi and Usman. "SISTEM INFORMASI MANAJEMEN USAHA J PARFUM." JURNAL PERANGKAT LUNAK 2, no. 1 (May 15, 2020): 29–40. http://dx.doi.org/10.32520/jupel.v2i1.835.
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A perfume is a shop that specializes in selling perfume in the city of clay. Processing data on sales, purchases and making reports on J perfume is still done manually, so the process of recording transactions and making financial statements is less efficient. So that in this study aims as an application that can simplify the store in managing all the sales transaction data, purchases and financial reports needed. In this study the data collection methods used were observation, interviews and literary studies, and UML (Unified Modeling Language) as a model that uses the concept of Object Oriented Programming (OOP) to facilitate researchers in building systems and in helping implement this research. With the implementation of this perfume J business management information system, it provides convenience to the store in managing all transaction data and financial laopran and is more effective and efficient.
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Putra, Jordy Lasmana, Mugi Raharjo, Tommi Alfian Armawan Sandi, Ridwan Ridwan, and Rizal Prasetyo. "IMPLEMENTASI ALGORITMA APRIORI TERHADAP DATA PENJUALAN PADA PERUSAHAAN RETAIL." Jurnal Pilar Nusa Mandiri 15, no. 1 (March 7, 2019): 85–90. http://dx.doi.org/10.33480/pilar.v15i1.113.
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The development of the business world is increasingly rapid, so it needs a special strategy to increase the turnover of the company, in this case the retail company. In increasing the company's turnover can be done using the Data Mining process, one of which is using apriori algorithm. With a priori algorithm can be found association rules which can later be used as patterns of purchasing goods by consumers, this study uses a repository of 209 records consisting of 23 transactions and 164 attributes. From the results of this study, the goods with the name CREAM CUPID HEART COAT HANGER are the products most often purchased by consumers. By knowing the pattern of purchasing goods by consumers, the company management can increase the company's turnover by referring to the results of processing sales transaction data using a priori algorithm
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Ismarmiaty, Ismarmiaty, and Ria Rismayati. "Purchase Pattern Analysis with FP-Growth Algorithm for Product Sales Promotion Recommendation Strategies." Jurnal Teknologi Informasi dan Pendidikan 15, no. 1 (October 28, 2022): 132–42. http://dx.doi.org/10.24036/jtip.v15i1.499.
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The development of retail business technology is related to the need for management to meet customer demands by using technology. To help make effective sales strategic decisions, it is necessary to optimize the use of information technology on existing sales transaction data. The transaction database that has been stored as a company archive asset can be used for processing information that is useful in increasing product sales and promotions. This study aims to provide an analysis related to the product sales pattern of PT. X in Sumbawa Besar city. PT. X is a retail company that sells distributes daily consumer goods. The algorithm used is Frequent Pattern – Growth which is one of the algorithms in data mining used to find relationships in large data based on the number of occurrences of these data relationships. The Association Rule Mining method can be used in the retail business field, known as Market Basket Analysis. The application used for testing is Rapidminer 9.10. The research stages include: data collection, data preparation, FP-Growth algorithm implementation, result analysis and conclusions. The results of the tests carried out resulted in 819 rules with a total of 85 rules. The results of grouping strong rules based on the combination and number of products that produce information that is expected to be used as recommendations to promote products with discount, cross-selling, up-selling, product bundling and other types of promotions to increase product sales.
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Ismarmiaty, Ismarmiaty, and Ria Rismayati. "Product Sales Promotion Recommendation Strategy with Purchase Pattern Analysis FP-Growth Algorithm." Sinkron 8, no. 1 (January 1, 2023): 202–11. http://dx.doi.org/10.33395/sinkron.v8i1.11898.
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The development of retail business technology is related to the need for management to meet customer demands by using technology. To help make effective sales strategic decisions, it is necessary to optimize the use of information technology on existing sales transaction data. The transaction database that has been stored as a company archive asset can be used for processing information that is useful in increasing product sales and promotions. This study aims to provide an analysis related to the product sales pattern of PT. X in Sumbawa Besar city. PT. X is a retail company that sells distributes daily consumer goods. The algorithm used is Frequent Pattern – Growth which is one of the algorithms in data mining used to find relationships in large data based on the number of occurrences of these data relationships. The Association Rule Mining method can be used in the retail business field, known as Market Basket Analysis. The application used for testing is Rapidminer 9.10. The research stages include: data collection, data preparation, FP-Growth algorithm implementation, result analysis and conclusions. The results of the tests carried out resulted in 819 rules with a total of 85 rules. The results of grouping strong rules based on the combination and number of products that produce information that is expected to be used as recommendations to promote products with discount, cross-selling, up-selling, product bundling and other types of promotions to increase product sales.
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Hirsch, Bernhard, Anna Seubert, and Matthias Sohn. "Visualisation of data in management accounting reports." Journal of Applied Accounting Research 16, no. 2 (September 14, 2015): 221–39. http://dx.doi.org/10.1108/jaar-08-2012-0059.
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Purpose – Managers are confronted with increasing information overload and growing pressure for effective and efficient decision making. The visualisation of data represents a way to overcome this dilemma and to improve management decision quality. The purpose of this paper is to transfer insights from visualisation research to the managerial accounting context and clarify the impact of visualisation on management accounting reports and decision making. The authors deduce implications for behavioural management accounting research, teaching, and business practice from previous findings and the results. Design/methodology/approach – The authors conducted an experiment with students and experienced managers. Participants had to evaluate eight different business units based on four accounts (sales, EBIT, FPY, and delivery reliability). The information the authors provided to the participants was either presented as tables only, or in tables and graphs. Findings – The empirical results show that supplementary graphs improve decision quality, especially within the manager sample but do not affect decision confidence in a performance evaluation task. The authors furthermore find that managers perform poorly when only provided with tables, and they achieve the overall best score when provided with both tables and graphs, whereas students perform similarly in both conditions. The authors additionally show that proficiency affects not only decision quality but also decision confidence. Research limitations/implications – The results differ from predictions based solely on the cognitive fit model, as the authors found differences in decision quality to be stronger within the group of managers. The cognitive fit model proposes that decision making performance will improve when the problem representation and the decision making task match. Applying the model to a management context, it is obviously insufficient to explain the differences the authors obtained in the experiment. The authors observed that proficiency plays a role in such performance evaluation tasks. Practical implications – Based on the results, management accountants should analyse the task that needs to be solved with the reported data. By analysing the type of task, accountants can derive the information processing strategy that will most likely be used by executives for problem solving and determine the suitable visualisation format based on the cognitive fit model. Moderate or complex monitoring tasks will presumably be accessed with perceptual information processing. Data should thus be visualised with graphs. Originality/value – The authors provide empirical evidence that supplementary graphs in management reports improve decision quality but not decision confidence. The authors furthermore illustrate the limits of the explaining power of the cognitive fit model in a management report context. In an extension of cognitive fit theory, the authors argue that proficiency plays a crucial role in performance evaluation tasks. The authors propose a process for visualisation of management reports based on their findings and previous findings.
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Vidyarto Nugroho, Peter Utama,. "Analisa Profitabilitas, Likuiditas, Pertumbuhan Penjualan, Struktur Aset Terhadap Struktur Modal." Jurnal Paradigma Akuntansi 3, no. 4 (November 12, 2021): 1595. http://dx.doi.org/10.24912/jpa.v3i4.15252.
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The purpose of this study is to test empirically the relationship between profitability, liquidity, sales growth, and asset structure on capital structure in manufacturing companies listed on the Indonesia Stock Exchange for the period 2017 - 2019. This study used 59 manufacturing companies that have been selected using the purposive sampling method, where the population that became sample had met the predetermined criteria, the total population was 166 for three years. The data in this study used secondary data. Data processing in this study used econometrics views (E-Views) version 11 software. The results of this study indicate that profitability, liquidity, sales growth, and asset structure have no effect on capital structure. The implication of this research is to provide input to management and investors in paying attention to the company's capital structure, because the capital structure reflects the company's financial performance
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Thio Lie Sha, Arvielda,. "Faktor-Faktor Yang Mempengaruhi Kinerja Keuangan Pada Perusahaan Manufaktur." Jurnal Ekonomi 26, no. 11 (August 22, 2022): 1–16. http://dx.doi.org/10.24912/je.v26i11.764.
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This study aims to obtain empirical evidence of the effect of sales growth, firm debt, liquidity and firm size on financial performance. The sample used in this study is a manufacturing companies listed on the Indonesia Stock Exchange (IDX) in 2017-2019, and obtained as many as 82 data. This study uses purposive sampling and uses Eviews 12 in processing the data. The results showed that firm debt has a negative and significant effect on financial performance. While sales growth, liquidity and firm size has insignificant effect on financial performance, and has a positive and insignificant effect on financial performance The implication of this research is that a company requires high quality management so as to assist the company in improving its financial performance so that the company can compete and maintain its sustainability.
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Lin, Li. "Application of Big Data Model in Financial Taxation Management." Scientific Programming 2021 (November 30, 2021): 1–10. http://dx.doi.org/10.1155/2021/7001456.
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We have entered an era of information technology. Many financial and taxation management tasks have been applied to big data technology. Through big data technology, we can efficiently collect data and Internet information, realize efficient management of information, and establish a complete set of tax database. The research results of the article show the following. (1) We analyze the application status of big data technology and put forward the problems and solutions in data processing in our country. (2) Most financial managers of small and medium-sized enterprises are rather vague about the definition of taxation. Training in this area should be strengthened. Taking the industrial chain of Chinese enterprises as the survey object, the concept of taxation compliance and influencing factors have been elaborated, and a taxation respect model has been established. The investigation method can be analyzed through the model. (3) We established the coefficient of variation model with Pilka coefficient and found that the main business income has the highest correlation with the value-added tax payable and has the strongest linear relationship; the correlation between return on assets and value-added tax payable is the weakest, and there is a weak relationship. There is a strong negative correlation between sales profit margin and VAT payable (4) Taking a pharmaceutical company in our country as the subject of investigation, the company’s financial operating conditions have been studied for the past ten years, and it is concluded that the company’s main business income is increasing year by year, and the corresponding tax revenue is also increasing, and the tax growth rate is relatively unstable. Among them, the financial risk coefficient of corporate income tax is the largest.