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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) IJoICT (International Journal on Information and Communication Technology) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA JSiI (Jurnal Sistem Informasi) JURIKOM (Jurnal Riset Komputer) INTEK: Jurnal Penelitian Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Data Science and Its Applications BERNAS: Jurnal Pengabdian Kepada Masyarakat eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) Nuansa Informatika
Mahendra Dwifebri Purbolaksono
Universitas Telkom
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Journal : Nuansa Informatika

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Performance and Efficiency Testing Analysis of Database Systems in Academic Information Systems: Analisis Pengujian Kinerja dan Efisiensi Sistem Basis Data dalam Sistem Informasi Akademik Kusuma Dewi, Utami; Lingga Wicaksono, Ryan; Dwifebri Purbolaksono, Mahendra; Satria, Villy
NUANSA INFORMATIKA Vol. 19 No. 2 (2025): Nuansa Informatika 19.2 Juli 2025
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v19i2.438

Abstract

This study examines the performance and efficiency of database systems within academic information systems, acknowledging the increasing demand for responsiveness and reliability in managing complex academic data. As educational institutions increasingly rely on digital systems, performance testing becomes essential to ensure that these systems continue to support the learning environment effectively. Guided by the ISO/IEC 25010 standard, the research focuses on evaluating three key aspects of performance efficiency: time behavior, resource utilization, and capacity. Using JMeter, a range of user load scenarios were simulated, and the results were examined through Control Quality Charts and Nelson Rules to detect underlying issues affecting system performance. The findings reveal that 82.5% of queries demonstrated good time behavior, and 80% performed well in resource usage. However, half of the tests related to capacity highlighted the need for further improvements. Some queries experienced delays and consumed excessive CPU and memory resources, indicating areas where optimization is required. These insights highlight the importance of refining queries and managing resources more effectively to ensure a seamless user experience. Future research should consider automated optimization, machine learning-based performance prediction, and system scalability, especially in more dynamic and distributed academic environments.
Co-Authors Abdurrahman Al Afifi Adiwijaya Adnan Imam Hidayat Al Faraby, Said Alex Wira Wilantapoera Alfian Akbar Gozali Amala, Ihsan Ahsanu Angelia Brigitta Maharani M.P Anggitha Yohana Clara Antika Putri Permata Wardani Ardian Adam Alfarisyi Bima Mahardika Wirawan Deninsyah Tiya Bella Pratama Dody Qori Utama Donni Richasdy Eko Darwiyanto Fahmi Hamzah Fahriza Ichsani Rafif Fakhri Taufiqurrahman Felia Novitasari Fhira Nhita Firdaus, Muhammad Abdurrahman Gde Agung Brahmana Suryanegara Gede Agung Ary Wisudiawan Ghinaa Zain Nabiilah Imam Prayoga Irfan Budi Prakoso Kemas Muslim Lhaksmana Kusuma Dewi, Utami M. Mujahid Biagi Usama Mbake Woka, Adrian Yoris Muhammad Farhan Muhammad Hadiyan Wicaksono Muhammad Irvan Tantowi Naufal Hilmiaji Novia Russelia Wassi Nugraha, Mohamad Rizki Pramoedya Syachrizalhaq Lyanda Pramoedya Syachrizalhaq Lyanda Rendhy Al-Farrel Rendi Kustiawan Rizal Adi Putranto Rizki Syafaat Amardita Rizkiyanto, Muhamad Dafa RIZKY, ACHMAD Ryan Lingga Wicaksono Satria, Villy Tandya Rizky Pratama Tetuko Muhammad Hanurogo Widi Astuti Widi Astuti Winkie Setyono Yudi Priyadi