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All Journal Journal of Information Systems and Business Technology Journal of Information Technology and Informatics Engineering
Muhammad Fakih
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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Abstract

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.
Data Mining Menggunakan Algoritma K-means Untuk Menentukan Game Terpopuler Pada Platform Steam Dengan Rapidminer Deryl Iman Condro Baskoro; I Putu Ganesa Weda Pratama; Aryo Chandra Ray Hash; Muhammad Fakih; Muhammad Fauzan; 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

With the number of games increasing every year, it is a challenge to determine which games are the most popular on the Steam platform. This study uses the K-Means clustering algorithm in RapidMiner to group games based on their popularity. Ratings and estimated number of game downloads are the variables used in this study. Data were collected from the top game sales dataset on the Steam platform. Clustering produces two clusters: less dan most populer, indicate the level of game popularity. This study can help game developers and publishers understand what features users are most interested in in a game.
Co-Authors Aryo Chandra Ray Hash Dastin Ramadhani Deryl Iman Condro Baskoro I Putu Ganesa Weda Pratama Maulana Fansyuri Muhammad Fauzan