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All Journal Journal of Information Systems and Business Technology
Muhammad Naufal Skha Yusfa
Universitas Pamulang
Computer Science & IT Library & Information Science

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Analisis dan Perancangan Sistem Informasi Administrasi RT/RW Berbasis Website Menggunakan Standar ISO/IEC 25010 pada PT Teknologi Informatika Solusindo Muhammad Naufal Skha Yusfa; Almy Rizki Akbar; 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

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Abstract

The development of information technology has encouraged digital transformation in various administrative sectors, including neighborhood administration services at the RT/RW level. Administrative processes that are still conducted manually often lead to data recording errors, delays in information delivery, difficulties in document archiving, and reduced service efficiency. This study aims to analyze and design a web-based RT/RW administrative information system at PT Teknologi Informatika Solusindo using the Prototype development method and the ISO/IEC 25010 standard as a system quality evaluation framework. Data collection techniques employed in this research include observation, interviews, documentation, and literature study. The system development process consists of communication, quick planning, modeling, prototype construction, and user evaluation stages. The designed system provides features for resident data management, correspondence administration, complaint services, and information dissemination. System testing refers to eight ISO/IEC 25010 quality aspects, including Functional Suitability, Performance Efficiency, Compatibility, Usability, Reliability, Security, Maintainability, and Portability. The results indicate that the developed system can improve administrative effectiveness, facilitate data management, and support more structured and transparent administrative services.
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

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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 Ahyat Musyawwa Aldy Bifal Pratama Almy Rizki Akbar Chairul Anwar