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All Journal Journal of Information Systems and Business Technology Journal of Information Technology and Informatics Engineering
Deryl Iman Condro Baskoro
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 Inventory Menggunakan Metode Waterfall Berbasis Web Daviqia Fadel; Deryl Iman Condro Baskoro
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

This research aims to develop a web-based inventory information system using the Waterfall method. This system is designed to overcome problems in stock management, such as inaccurate recording, late information, and lack of operational efficiency. The Waterfall method is used because of its systematic and structured development flow, starting from needs analysis to the maintenance stage. This system includes main features such as registration, login, management of goods data, categories, stocks, and creation of printable reports. Testing shows that all features run according to user needs and are free from bugs. With an easy-to-use interface and real-time access capabilities, this system is expected to improve the efficiency and accuracy of inventory management in the organization.
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 Daviqia Fadel I Putu Ganesa Weda Pratama Maulana Fansyuri Muhammad Fakih Muhammad Fauzan