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All Journal Journal of Information Systems and Business Technology Journal of Information Technology and Informatics Engineering
Irsad Fauzan
Universitas Pamulang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Library & Information Science

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Analisis Sistem Informasi Aplikasi Jasa Cuci Kendaraan Menggunakan Metode Waterfall Bayu Pangestu; Irsad Fauzan
Journal of Information Systems and Business Technology Vol 1 No 1 (2025): Journal of Information Systems and Business Technology
Publisher : PT Jurnal Cendekia Indonesia

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Abstract

Vehicle washing companies are among the many service sectors that are changing toward more organized and efficient procedures as a result of the development of digital technology. The purpose of this project is to use the Waterfall technique to assess and create a web-based vehicle wash service information system. Features like admin login, transactions, daily reporting, input validation, and service and customer data management are all included in the designed system. To make sure that system features work as intended by users, testing was done using the Black Box Testing approach. The outcomes demonstrate that all essential functions are operational, the system reacts to inputs precisely, and it gives suitable error feedback. The Waterfall technique facilitates documentation at every level by providing a methodical development structure. It has been demonstrated that this method speeds up service procedures, lowers record-keeping errors, and improves operational efficiency. To better satisfy consumer desires, additional development ideas include incorporating digital payment methods and including online booking capabilities. This method makes the web-based information system an appropriate way to help firms that provide car wash services go digital.
Implementasi Algoritma K-means Clustering Data Penjualan Pada Warung Sembako Isan Menggunakan Rapidminer Muhammad Azriel; Daviqia Fadel; Fajri Maulana Azzam Harahap; Irsad Fauzan; Muhammad Fadlan Jabbar; Maulana Fansyuri
Journal of Information Technology and Informatics Engineering Vol 1 No 1 (2025): Journal of Information Technology and Informatics Engineering (JITIE)
Publisher : PT Jurnal Cendekia Indonesi

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Abstract

This study aims to apply the K-Means Clustering algorithm with the help of RapidMiner software on sales data at Warung Sembako Isan. In managing small businesses such as grocery stores, processing sales data manually often faces various challenges, such as errors in recording and difficulties in identifying sales trends. Therefore, data mining techniques, especially clustering methods, are used to categorize products based on their sales capabilities. This process is carried out using RapidMiner, which allows analysis without the need for programming through a visual interface. The data were analyzed using the K-Means algorithm with parameter k = 3, which produces three categories: products with high potential, medium potential, and low potential. The results of this clustering make it easier for shop owners to understand product performance, develop storage strategies, and plan more efficient promotions. This study shows that the use of simple technology can improve operational efficiency and assist MSMEs in data-based decision making.
Co-Authors Bayu Pangestu Daviqia Fadel Fajri Maulana Azzam Harahap Maulana Fansyuri Muhammad Azriel Muhammad Fadlan Jabbar