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All Journal Journal of ICT Research and Applications Prosiding Semnastek
Sunindyo, Wikan Danar
Sekolah Teknik Elektro Dan Informatika, Institut Teknologi Bandung
Computer Science & IT

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MODEL BERORIENTASI AGEN UNTUK ANALISIS DAMPAK PERUBAHAN PADA APLIKASI WEB DINAMIS Khegi Walesa; M. Sukrisno Mardiyanto; Wikan Danar Sunindyo
Prosiding Semnastek PROSIDING SEMNASTEK 2016
Publisher : Universitas Muhammadiyah Jakarta

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Abstract

Pada siklus hidup pengembangan perangkat lunak,  Software Mintenance menggunakan lebih dari 60% biaya dan waktu pengembangan. Hal ini berperan penting dalam menjaga keberlangsungan hidup perangkat lunak.  Aplikasi Web Dinamis memiliki sifat heterogen.  Menggunakan bermacams metodologi pengembangan, teknologi yang bervariasi, multi bahasa pemrograman, serta menggunakan komponen pihak ketiga yang selalu berkembang dan berubah.  Perubahan yang terjadi  sangat mempengaruhi bagaimana sistem tersebut dapat beradaptasi. Analisis Dampak Perubahan menawarkan suatu pendekatan untuk mendeteksi pengaruh yang diakibatkan oleh suatu perubahan. Terdapat berbagai teknik dan pendekatan yang telah ditawawrkan, namun belum ada standar yang nenetapkan bagaimana cara analisis dampak dilakukan, khususnya pada kasus aplikasi web.
A System Dynamics Model of 5G Low-Band Spectrum Management Shalahuddin, Muhammad; Sunindyo, Wikan Danar; Effendi, Mohammad Ridwan; Surendro, Kridanto
Journal of ICT Research and Applications Vol. 19 No. 1 (2025)
Publisher : DRPM - ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2025.19.1.3

Abstract

The fifth-generation (5G) mobile communication system represents a major advancement in wireless technology, relying on effective radio spectrum management to ensure optimal performance. Among the available frequency ranges, the 5G low-band spectrum provides extensive coverage but limited capacity, making its efficient management a critical challenge. This study presents a predictive model based on the system dynamics approach to analyze the management of the 5G low-band spectrum. The model captures the interrelationships between technical and economic variables that influence spectrum allocation and service adoption over time. Three simulation scenarios—low, medium, and high allocation rates—were developed to examine allocation patterns and their effects on 5G service diffusion. The results revealed that spectrum management in 5G exhibits goal-seeking behavior constrained by spectrum scarcity, with service adoption showing a growth-to-saturation pattern. The findings demonstrate that appropriate low-band spectrum management can significantly enhance 5G deployment efficiency. The proposed model serves as a decision-support tool for policymakers and regulators, enabling evaluation of alternative management strategies prior to policy implementation and promoting evidence-based decision-making in future 5G spectrum policies.
Co-Authors Effendi, Mohammad Ridwan Khegi Walesa Kridanto Surendro M. Sukrisno Mardiyanto Muhammad Shalahuddin