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All Journal Journal of Information Systems and Business Technology Journal of Information Technology and Informatics Engineering
Bayu Pangestu
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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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.
Penerapan Algoritma K-Nearest Neighbor Menggunakan Rapidminer Pada Kepuasan Hidup Pekerja Commuter di Indonesia Muhammad Fadli Juliana Putra; Bayu Pangestu; Sopyan Hidayat; Bintang Ardian Nugroho; Dastin Ramadhani; 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

The level of life satisfaction of commuter workers in Indonesia is classified using the K-Nearest Neighbor (K-NN) algorithm using the RapidMiner application. This study aims to provide a better understanding of the social and economic conditions of workers who have to travel long distances every day. To collect data, a questionnaire covering various information such as income, number of dependents, location of residence, travel time, and level of life satisfaction was sent. Before being entered into the model, the data is then processed through a cleaning stage, normalizing numeric values, and dividing into test data and training data. One of the reasons for RapidMiner is its visual interface, which allows users to create classification models without writing programming code. The test results show that the K-NN algorithm can accurately classify the level of life satisfaction of commuter workers. Model performance is greatly influenced by the selected variables, namely the K value, and data quality. This study is expected to help related parties, this approach is considered effective in helping data-based decision making.  
Co-Authors Bintang Ardian Nugroho Dastin Ramadhani Irsad Fauzan Maulana Fansyuri Muhammad Fadli Juliana Putra Sopyan Hidayat