Article Per Year (5 Year)
p-Index From 2021 - 2026
1.686
P-Index
This Author published in this journals
All Journal Jurnas Nasional Teknologi dan Sistem Informasi CESS (Journal of Computer Engineering, System and Science) JOIN (Jurnal Online Informatika) IJISTECH (International Journal Of Information System & Technology) Journal of Appropriate Technology for Community Services IJISTECH Journal of Intelligent Systems Technology and Informatics International Journal of Applied Information Systems and Informatics
Andi Nur Rachman
Universitas Siliwangi
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
Load Testing-Based Performance Evaluation of the SiUKT API System Andi Nur Rachman; Rahmi Nur Shofa; Irfan Nafis Sjamsuddin; Genta Najwar Tarempa; Indri Tri Julianto; Bifahmi Ahmad Athoillah
Journal of Intelligent Systems Technology and Informatics Vol 2 No 1 (2026): JISTICS, March 2026
Publisher : Aliansi Peneliti Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64878/jistics.v2i1.89

Abstract

Software testing is a crucial stage in the system development lifecycle. Previous studies on SiUKT have used only the black-box method, focusing on functionality without providing insights into performance optimization. This study aims to analyze and improve the performance of the SiUKT API using an intelligent load-testing approach with Apache JMeter. The testing measures three key indicators—response time, throughput, and error rate—across 10 API endpoints with concurrent user simulations of 10, 100, 250, and 500 users. The results show that the SiUKT website performs effectively under moderate load conditions, with an average response time of 338 ms and a throughput of 8.2 requests per second for 10 users. Under high load (500 users), performance declines, with response times ranging from 6 to 8 seconds, while throughput remains stable and the error rate stays at 0.00%. Only the register endpoint experienced a 100% error rate due to validation conflicts. These findings demonstrate the system's ability to maintain stability under varying loads and highlight performance degradation patterns as user traffic increases. The research contributes to the optimization of intelligent system performance by establishing quantitative benchmarks for API scalability and providing recommendations for adaptive infrastructure improvements to support automated intelligent load management.
Co-Authors Acep Irham Gufroni Alam Rahmatulloh Betanika Nila Nirbita Bifahmi Ahmad Athoillah Cecep Muhamad Sidik Ramdani Edi Fitriana Afriza, Edi Fitriana Euis Nur Fitriani Dewi Fuad Abdullah Genta Najwar Tarempa Husni Mubarok Indra Sontana Indri Tri Julianto Irfan Nafis Sjamsuddin Miftahul Habib Fachrurozi Millah, Haikal Mitha Maharani Muhammad Fauzan Azim Rahmi Nur Shofa Ratih Prahadila Rahayu Supratman Supratman Syahrul Rifat Firdaus