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All Journal Annual Research Seminar Journal of Information Systems and Informatics
Ahmad Fali Oklilas
Sriwijaya University
Computer Science & IT

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Implementasi Video Telephony melalui Jaringan WiMAX menggunakan Controlled Delay Theo Rama Putra; Ahmad Fali Oklilas
Annual Research Seminar (ARS) Vol 3, No 1 (2017): ARS 2017
Publisher : Annual Research Seminar (ARS)

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Abstract

Worldwide Interoperability for Microwave Access atau yang disingkat dengan WiMAX merupakan teknologi jaringan Wireless yang memiliki jangkauan yang luas hingga 50 km dengan kecepatan akses hingga 70 Mbps. WiMAX terintegrasi dengan konsep QoS. Konsep QoS yang dimiliki oleh WiMAX berupa service class. WiMAX mendukung aplikasi real- time yang salah satunya adalah video telephony. Video telephony adalah aplikasi real-time yang memungkinkan pengguna dapat bertatap muka dan berbicara secara langsung. Parameter yang mempengaruhi kualitas video telephony adalah delay dan packet loss. Agar kedua parameter ini dapat diminimalisir, penelitian ini akan digunakan mekanisme Controlled Delay pada WiMAX dengan tujuan peningkatan kualitas layanan pada video telephony.
Taxpayer Classification Using K-Means Clustering to Support CRM Strategy Development: Case Study of Prabumulih City Samsat Bimmo Fathin Tammam; Ali Ibrahim; Dwi Rosa Indah; Ahmad Fali Oklilas; Yadi Utama
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1365

Abstract

Effective management of taxpayer data is crucial for enhancing compliance and optimizing regional revenue. This study addresses the limited use of data-driven taxpayer segmentation in local Samsat institutions by applying K-Means Clustering to support targeted Customer Relationship Management (CRM) strategies. A dataset of 3,999 motor vehicle taxpayer records from September 2025 was processed through feature selection, scaling, and clustering. The analysis identified three distinct taxpayer groups based on payment timeliness, compliance consistency, and vehicle age. Cluster validity was confirmed using the Davies-Bouldin Index, yielding a value of -41.327 for k = 3, supported by ANOVA for statistical significance. The findings highlight how clustering can reveal taxpayer behavior patterns, guiding personalized services and compliance programs. This study's novelty lies in integrating clustering outcomes with practical CRM strategies for public agencies, offering a data-driven approach to improve taxpayer engagement and regional revenue. However, the study is limited by its focus on a single-period dataset and vehicle-related attributes.
Co-Authors Ali Ibrahim Bimmo Fathin Tammam Dwi Rosa Indah Theo Rama Putra Yadi Utama