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All Journal Journal of Information Systems and Business Technology Journal of Information Technology and Informatics Engineering
Dastin Ramadhani
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 Manajemen Proyek Menggunakan Metode Waterfall Berbasis Web Dastin Ramadhani; Muhammad Fakih
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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The purpose of this study was to see how web-based project management systems, used to manage activities such as project assignments, reporting, and monitoring, function. The study investigated various project management applications used by organizations and highlighted several issues such as inflexible workflows, lack of system integration, and non-user-friendly interfaces. The study went through the stages of requirements analysis, system design, solution simulation, and performance testing using a blackbox approach using the Waterfall methodology. The results of the analysis showed that although the system could perform its basic functions, there were several elements that needed to be improved to increase the efficiency and effectiveness of overall project management.
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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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 Bayu Pangestu Bintang Ardian Nugroho Maulana Fansyuri Muhammad Fadli Juliana Putra Muhammad Fakih Sopyan Hidayat