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All Journal Journal of Computer System and Informatics (JoSYC) West Science Interdisciplinary Studies West Science Interdisciplinary Studies
Tamara Aldisa, Rima
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Industrial & Manufacturing Engineering Social Sciences

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Application of the Joint Application Design (JAD) Method in Developing a Women's Clothing Sales Information System Website Based at Aldisa Boutique Tamara Aldisa, Rima
West Science Interdisciplinary Studies Vol. 2 No. 03 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i03.776

Abstract

A website-based women's clothing sales information system is a significant solution in optimizing sales business processes and increasing market affordability for business owners. In this context, this research aims to apply the Joint Application Design (JAD) Method as an approach in developing the sales information system. The JAD method was used to actively involve stakeholders from the start of the development process, enabling a better understanding of Aldisa Boutique's business needs and user desires. Through this study, design and implement a Website-Based Women's Clothing Sales Information System by integrating the JAD method in every stage of development, including needs analysis, design and implementation. The test results show that the application of the JAD method can improve system quality by producing solutions that are more in line with user expectations and business needs. The system is expected to provide solutions for Aldisa Boutique in increasing sales efficiency and making purchases easier for consumers.
Penerapan Data Mining dalam Menentukan Produk Penjualan Terlaris Menggunakan Algoritma Apriori Randi, Erza Muhammad; Tamara Aldisa, Rima
Journal of Computer System and Informatics (JoSYC) Vol 5 No 4 (2024): August 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i4.5820

Abstract

Information regarding best-selling product data is something that is important to know when analyzing a store's business. Associations between best-selling products can provide useful information for increasing sales profits. However, in reality, the Mabestie Bouquet Store experiences limited problems in analyzing data on best-selling products and their associations using manual calculations only. Therefore, this research aims to create a website for calculating data analysis of best-selling products and their associations using a priori data mining algorithms. The information obtained is data on best-selling products and associations between products in order to develop business strategy progress in the store so that you can know for sure which products need to increase stock and the associations between products that are often purchased by customers. Stock availability of goods that is not managed well has an impact on the shop, for example if goods run out when consumer demand is high then there will be no purchases and this will reduce shop profits. Data mining is the process of utilizing and processing data to find patterns or related relationships in large data sets, and this technique has been widely applied in various fields, including the sale of bouquet products. By using data mining, stores can identify customer preferences through in-depth analysis of complex bouquet sales data. This research focuses on using the Apriori algorithm to analyze sales transaction data at the Mabestie Bouquet Shop. The Apriori algorithm, as a method of association rules, is used to determine combination patterns of itemsets and association rules systematically and accurately. The analysis results show that the items with the highest support value are the Birthday Bouquet Topper and Original Silverqueen Bouquet with a value of 13.3%, and the highest confidence value with a value of 52.6%. Based on this data, it is known that the pattern of purchasing the best-selling product is that if a customer buys a Birthday Bouquet Topper, they will also buy an Original Silverqueen Bouquet product. Based on this data, these two products are products that must be provided with more optimal stock in order to increase sales profits. These findings provide important insights into customer preferences and bouquet purchasing patterns, which can be developed to design more effective marketing strategies and increase the effectiveness of promotions and in-store sales.
Application of the Joint Application Design (JAD) Method in Developing a Women's Clothing Sales Information System Website Based at Aldisa Boutique Tamara Aldisa, Rima
West Science Interdisciplinary Studies Vol. 2 No. 03 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i03.776

Abstract

A website-based women's clothing sales information system is a significant solution in optimizing sales business processes and increasing market affordability for business owners. In this context, this research aims to apply the Joint Application Design (JAD) Method as an approach in developing the sales information system. The JAD method was used to actively involve stakeholders from the start of the development process, enabling a better understanding of Aldisa Boutique's business needs and user desires. Through this study, design and implement a Website-Based Women's Clothing Sales Information System by integrating the JAD method in every stage of development, including needs analysis, design and implementation. The test results show that the application of the JAD method can improve system quality by producing solutions that are more in line with user expectations and business needs. The system is expected to provide solutions for Aldisa Boutique in increasing sales efficiency and making purchases easier for consumers.
Application of the Joint Application Design (JAD) Method in Developing a Women's Clothing Sales Information System Website Based at Aldisa Boutique Tamara Aldisa, Rima
West Science Interdisciplinary Studies Vol. 2 No. 03 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i03.776

Abstract

A website-based women's clothing sales information system is a significant solution in optimizing sales business processes and increasing market affordability for business owners. In this context, this research aims to apply the Joint Application Design (JAD) Method as an approach in developing the sales information system. The JAD method was used to actively involve stakeholders from the start of the development process, enabling a better understanding of Aldisa Boutique's business needs and user desires. Through this study, design and implement a Website-Based Women's Clothing Sales Information System by integrating the JAD method in every stage of development, including needs analysis, design and implementation. The test results show that the application of the JAD method can improve system quality by producing solutions that are more in line with user expectations and business needs. The system is expected to provide solutions for Aldisa Boutique in increasing sales efficiency and making purchases easier for consumers.
Sistem Pendukung Keputusan Penentuan Lokasi Pabrik Baru Menggunakan Metode ROC dan MAUT Naufal Rifqi, Muhammad; Tamara Aldisa, Rima
Journal of Computer System and Informatics (JoSYC) Vol 5 No 2 (2024): February 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i2.4893

Abstract

Factories are places where goods and services are mass produced. Factories collect and integrate various resources, such as labor, capital, and machines. Factories have an important role in a country's economy, because they produce goods and services that society needs. Apart from that, factories can also create jobs and improve community welfare. However, factories can also have a negative impact on companies and the environment. Companies that produce goods with certain raw materials must consider the availability of raw materials at the factory location. If raw materials are not available at that location, the company must bring them in from other locations, which can increase production costs. Apart from that, companies must also consider the availability of adequate infrastructure, such as roads, electricity, air and telecommunications. If infrastructure is inadequate, companies have to invest to build it, which can also increase production costs. In this study, the ROC method and the MAUT method were used, the ROC method was used to determine the level of importance of the criteria used in selecting the factory location. The MAUT method is used to rank factory locations. The five criteria used in selecting factory locations are: availability of raw materials, availability of infrastructure, labor costs, transportation costs, and environmental impact. A total of 10 factory locations were selected based on predetermined criteria. The final results show that the best factory location is location E with a final score of 0.682, followed by location H and location F with a final score of 0.619 and 0.453 respectively.
Co-Authors Naufal Rifqi, Muhammad Randi, Erza Muhammad