Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Journal of Information Systems and Business Technology Journal of Information Technology and Informatics Engineering
Muhammad Fauzan
Universitas Pamulang
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Library & Information Science

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis dan Pengujian Aplikasi Web Donasi Online dengan Pendekatan Metode Waterfall Aryo Chandra; Muhammad Fauzan
Journal of Information Systems and Business Technology Vol 1 No 2 (2025): Journal of Information Systems and Business Technology
Publisher : PT Jurnal Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Digitalization in various industries has been driven by advances in information technology, including in the social sector through online donation platforms. The purpose of this study is to analyze and test an online donation web application developed using the Waterfall method. This method was chosen because of its systematic development structure, starting from the needs analysis stage, system design, implementation, and testing. The test results were carried out to ensure that the system's functionality runs according to the stated objectives, especially in terms of the login process, registration, donation management, and transaction reports. The test results showed that the application can operate well and meet user needs according to the designed scenario. Efficiency and usability analysis also showed good results. This study supports the development of social applications that can increase the ease and trust of people in donating online.  
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

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 Aryo Chandra Ray Hash Deryl Iman Condro Baskoro I Putu Ganesa Weda Pratama Maulana Fansyuri Muhammad Fakih