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
Ahyat Musyawwa
Universitas Pamulang
Computer Science & IT Library & Information Science

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

Found 2 Documents
Search

 1 
Perancangan Sistem Informasi Manajemen Koperasi Berbasis Website Dengan Metode Prototype Berdasarkan Standar ISO/IEC 25010 Ahyat Musyawwa; Maulida Alfia Syifa; Chairul Anwar
Journal of Information Systems and Business Technology Vol 2 No 3 (2026): Journal of Information Systems and Business Technology
Publisher : PT Jurnal Cendekia Indonesia

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

Abstract

Digital transformation in the era of the industrial revolution 4.0 requires organizations to adopt information technology to maintain operational efficiency and accurate decision-making. PT Solusindo, as an entity managing residential neighborhoods and community cooperatives, currently still faces significant obstacles due to the use of manual and semi-digital management methods in the management of Environmental Management Fees (IPL) and cooperative administration. These problems impact the risk of data corruption, delays in financial reporting, and low transparency, which triggers a decline in community trust. This study aims to design an integrated website-based cooperative management information system to automate transaction recording and provide open access to information for all stakeholders. System development was carried out using a prototype method to ensure the suitability of functional features through iterations and direct feedback from users. To ensure software quality, testing was conducted based on the international standard ISO/IEC 25010, which covers aspects of functionality, performance efficiency, and usability. The results of this study are projected to be able to ensure the accuracy of centralized data, improve the work efficiency of administrative staff, and rebuild community trust through a transparent and accountable reporting system.
Segmentasi Pelanggan Menggunakan Algoritma K-Means untuk Customer Intelligence dan Strategi Pemasaran pada Perusahaan Retail Online (Studi Kasus: Dataset Online Retail II) Muhammad Naufal Skha Yusfa; Ahyat Musyawwa; Aldy Bifal Pratama
Journal of Information Systems and Business Technology Vol 2 No 3 (2026): Journal of Information Systems and Business Technology
Publisher : PT Jurnal Cendekia Indonesia

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

Abstract

Customer intelligence is crucial for online retail companies to design targeted marketing strategies and increase customer retention. This study aims to segment customers based on purchasing behavior using RFM analysis and K-Means clustering. The Online Retail II dataset containing more than 525,000 transactions from December 2010 to December 2011 was used. After data cleaning, outlier handling, and RFM feature engineering, the Elbow Method and Silhouette Score determined the optimal number of clusters (K=3). The results produced three distinct customer segments: Lost/At Risk (25.17%), Regular Customers (74.32%), and High-Value Loyal (0.51%). Actionable business recommendations were formulated for each segment. This segmentation provides deeper customer intelligence and supports more effective marketing strategies for online retail businesses. 
Co-Authors Aldy Bifal Pratama Chairul Anwar Maulida Alfia Syifa Muhammad Naufal Skha Yusfa