Analisis Kinerja Aplikasi Tring Pegadaian Menggunakan Metode Performance Testing dengan Apache JMeter
DOI:
https://doi.org/10.59024/jiti.v4i4.2655Keywords:
Apache JMeter, Error Rate, Performance Testing, Response Time, ThroughputAbstract
This study analyzes the performance of the Tring Pegadaian application using performance testing with Apache JMeter. The study is motivated by the need for objective evidence of application responsiveness, transaction-processing capacity, and stability under concurrent workloads. The research applies an experimental performance-testing approach consisting of test objective definition, workload and scenario design, JMeter test-plan preparation, test execution, metric collection, and interpretation. Load testing is planned for 5 minutes and stress testing for 10 minutes, with response time, throughput, and error rate as the primary indicators. The empirical values are intentionally left as fields to be filled from the actual JMeter execution results because no raw test-output file was supplied with the request. The expected contribution is a reproducible performance-evaluation procedure that can identify the workload level at which the application remains stable and the point at which performance degradation begins. The results can be used as a technical basis for prioritizing optimization of application services, infrastructure, and workload capacity
References
Abda’u, P. D., Susanto, A., Supriyono, A. R., & Prasetyanti, D. N. (2024). Perbandingan kinerja antara Gatling dan Apache JMeter pada uji beban RESTful API. Infotekmesin, 15(1), 211–215. https://doi.org/10.35970/infotekmesin.v15i1.2176
Alnuhait, H., Alzyadat, W., Althunibat, A., Kahtan, H., Zaqaibeh, B., & Al-Khawaja, H. A. (2024). Web application performance assessment: A study of responsiveness, throughput, and scalability. International Journal of Advanced and Applied Sciences, 11(9), 214–226. https://doi.org/10.21833/ijaas.2024.09.023
Annisa, A. R., Ardiana, M., Rahayu, P. N., Brian, T., & Jami’in, M. A. (2026). Performance evaluation of web applications using JMeter load testing for server capacity and response efficiency. Journal of Applied Informatics and Computing, 10(1), 585–590. https://doi.org/10.30871/jaic.v10i1.11840
Bolanowski, M., Ćmil, M., & Starzec, A. (2024). New model for defining and implementing performance tests. Future Internet, 16(10), 366. https://doi.org/10.3390/fi16100366
Cazzola, W., Cesarini, F., & Tansini, L. (2022). PerformERL: A performance testing framework for Erlang. Distributed Computing, 35, 439–454. https://doi.org/10.1007/s00446-022-00429-7
Di Meglio, S., Starace, L. L. L., & Di Martino, S. (2026). Semi-automated generation of web app performance tests from end-to-end GUI-level tests with E2E-Loader. Science of Computer Programming, 252, 103461. https://doi.org/10.1016/j.scico.2026.103461
Hamidah, I., Haromain, I., & Drehem, I. M. (2025). Evaluasi pengujian kinerja menggunakan JMeter untuk menunjang stabilitas aplikasi layanan perbankan pada PT Bank Rakyat Indonesia Tbk. DBESTI: Journal of Digital Business and Technology Innovation, 2(1), 114–126. https://doi.org/10.54914/dbesti.v2i1.1621
Hammad, Y., Al-Said Ahmad, A., & Andras, P. (2025). An empirical study on the performance overhead of code instrumentation in containerised microservices. Journal of Systems and Software, 230, 112573. https://doi.org/10.1016/j.jss.2025.112573
Horváth, M., Sakhnenko, V., & Gurbáv l, F. (2024). Comparison of scalability and performance in microservices and monolithic architectures. 2024 IEEE 17th International Scientific Conference on Informatics. https://doi.org/10.1109/Informatics62280.2024.10900892
Indrianto, I. (2023). Performance testing on web information system using Apache JMeter and BlazeMeter. Jurnal Ilmiah Ilmu Terapan Universitas Jambi, 7(2), 138–149. https://doi.org/10.22437/jiituj.v7i2.28440
Leloudas, P. (2023). Introduction to software testing: A practical guide to testing, design, automation, and execution. Apress. https://doi.org/10.1007/978-1-4842-9514-4
Mahajan, G., Attar, V., & Kalamkar, S. (2022). Generation of JMeter scripts for performance testing of Moodle server. 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N). https://doi.org/10.1109/ICAC3N56670.2022.10074284
Puspita, M. A., Mardiana, A. P., R., & Muhammad, M. A. (2025). User acceptance testing dan performance testing pada pengembangan website Kanal Pengetahuan Dikti. JIEET: Journal of Information Engineering and Educational Technology, 8(2), 96–101. https://doi.org/10.26740/jieet.v8n2.p96-101
Rachman, A. N., Shofa, R. N., Sjamsuddin, I. N., Tarempa, G. N., Julianto, I. T., & Athoillah, B. A. (2026). Load testing-based performance evaluation of the SiUKT API system. Journal of Intelligent Systems Technology and Informatics, 2(1), 22–29. https://doi.org/10.64878/jistics.v2i1.89
Raweyai, S. S., & Widiasari, I. R. (2024). Performance testing of academic website using load testing method supported by Apache JMeter(TM) at XYZ University. Jurnal Teknik Informatika (JUTIF), 5(3), 721–730. https://doi.org/10.52436/1.jutif.2024.5.3.1796
Rotem, A. (2025). Software performance engineering: A comprehensive guide for high-performance development. BPB Publications.
Siahaan, M., & Wijaya, R. (2024). Performance comparison between Laravel and ExpressJs framework using Apache JMeter. JITE: Journal of Informatics and Telecommunication Engineering, 7(2), 545–554. https://doi.org/10.31289/jite.v7i2.10571
Downloads
Published
Issue
Section
License
Copyright (c) 2026 JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
