MONITORING INFRASTRUKTUR JENKINS BERBASIS PROMETHEUS DAN GRAFANA
DOI:
https://doi.org/10.51878/vocational.v6i3.10832Keywords:
Monitoring, Jenkins, Prometheus, Grafana, ObservabilityAbstract
As system complexity in DevOps environments increases, the need for effective and real-time monitoring becomes increasingly important, especially in Continuous Integration and Continuous Delivery (CI/CD) systems. Jenkins, as a CI/CD platform, is widely used to automate build, testing, and deployment processes, but still has limitations in terms of integrated and centralized monitoring. This study aims to analyze and implement a Jenkins infrastructure monitoring system by integrating Prometheus and Grafana to improve system observability. The method used in this study is the Software Development Life Cycle (SDLC) approach with the V-Model model. Prometheus is used as a time-series database to collect and store system metrics, while Grafana is used to visualize data in the form of an interactive dashboard. The results of the study show that the monitoring system built is able to improve real-time visibility of system conditions, simplify the performance analysis process, and accelerate problem detection and handling. Thus, this system contributes to improving system reliability and operational efficiency in the PT Herza Digital Indonesia environment.
ABSTRAK
Seiring dengan meningkatnya kompleksitas sistem dalam lingkungan DevOps, kebutuhan akan monitoring yang efektif dan real-time menjadi semakin penting, khususnya pada sistem Continuous Integration dan Continuous Delivery (CI/CD). Jenkins sebagai salah satu platform CI/CD banyak digunakan untuk mengotomatisasi proses build, testing, dan deployment, namun masih memiliki keterbatasan dalam hal monitoring yang terintegrasi dan terpusat. Penelitian ini bertujuan untuk menganalisis dan mengimplementasikan sistem monitoring infrastruktur Jenkins dengan mengintegrasikan Prometheus dan Grafana guna meningkatkan observabilitas sistem. Metode yang digunakan dalam penelitian ini adalah pendekatan Software Development Life Cycle (SDLC) dengan model V-Model. Prometheus digunakan sebagai time-series database untuk mengumpulkan dan menyimpan metrik sistem, sedangkan Grafana digunakan untuk memvisualisasikan data dalam bentuk dashboard interaktif. Hasil penelitian menunjukkan bahwa sistem monitoring yang dibangun mampu meningkatkan visibilitas kondisi sistem secara real-time, mempermudah proses analisis performa, serta mempercepat deteksi dan penanganan masalah. Dengan demikian, sistem ini berkontribusi dalam meningkatkan keandalan sistem serta efisiensi operasional di lingkungan PT Herza Digital Indonesia.
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References
Andria, A. (2023). Penerapan sistem informasi monitoring maintenance and repair hardware di UPT komputer Universitas PGRI Madiun. Fountain of Informatics Journal, 7(3), 24–33. https://doi.org/10.21111/fij.v7i3.9421
Anwariyah, K. (2026). Implementasi CICD dalam pengembangan sistem absensi online. JATISKOM: Jurnal Aplikasi Teknologi Informasi Dan Sains Komputer, 2(2), 83–90. https://doi.org/10.20414/jatiskom.v2i2.13600
Awal, H. (2023). Implementasi intrusion detection prevention system sebagai sistem keamanan jaringan komputer kejaksaan negeri pariaman menggunkan snort dan iptables berbasis linux. Deleted Journal, 2(1), 38–44. https://doi.org/10.62357/jsit.v2i1.184
Bergeron, B., Hubbell, M., Sequeira, D., Williams, W., Arcand, W., Bestor, D., Chansup, B., Gadepally, V., Houle, M. E., Jones, M., Klien, A., Michaleas, P., Milechin, L., Prout, J. M. A., Reuther, A., Rosa, A., Samsi, S., Yee, C., & Kepner, J. (2021). 3D real-time supercomputer monitoring. arXiv. http://arxiv.org/abs/2109.04532
Camacho, N. (2024). Unlocking the potential of AI/ML in DevSecOps: Effective strategies and optimal practices. Deleted Journal, 2(1), 79–89. https://doi.org/10.60087/jaigs.v2i1.p89
Christudas, B., & Telang, T. (2025). High availability and microservices. In Apress eBooks (pp. 245–276). https://doi.org/10.1007/979-8-8688-1606-2_9
Farayola, O. A., Hassan, A. O., Adaramodu, O. R., Fakeyede, O. G., & Oladeinde, M. (2023). Configuration management in the modern era: Best practices, innovations, and challenges. Computer Science & IT Research Journal, 4(2), 140–157. https://doi.org/10.51594/csitrj.v4i2.613
Fawzy, A., Tahir, A., Galster, M., & Liang, P. (2024). Data management challenges in agile software projects: A systematic literature review. arXiv. https://doi.org/10.48550/arxiv.2402.00462
Gupta, N. (2025). Strategic observability and intelligent monitoring: Best practices for minimizing downtime in modern enterprises. European Modern Studies Journal, 9(5), 1015–1023. https://doi.org/10.59573/emsj.9(5).2025.93
Harjo, R. S. D., Kusrini, K., & Nasiri, A. (2023). Penentuan domain tata kelola IT pada instansi kepegawaian XYZ menggunakan kerangka kerja COBIT 2019. Jurnal Teknik Industri: Jurnal Hasil Penelitian Dan Karya Ilmiah Dalam Bidang Teknik Industri, 9(1), 31–31. https://doi.org/10.24014/jti.v9i1.21797
Islavath, N. (2021). Jenkins for continuous integration and deployment in devops engineer: A deep dive into features and best practices. International Journal of Science and Research (IJSR), 10(12), 1546–1550. https://doi.org/10.21275/sr20216084821
Krishna, S. R., Durga, Y. V., Venkatesh, L. P., & Sridhar, P. S. (2024). Efficient devops workflow with jenkins. IJARCCE, 13(4). https://doi.org/10.17148/ijarcce.2024.13486
Misal, J. (2024). Mastering automation tools for incident management and monitoring. International Journal of Scientific Research in Computer Science Engineering and Information Technology, 10(6), 1465–1481. https://doi.org/10.32628/cseit241061184
Munaroh, L., Amrozi, Y., & Nurdian, R. A. (2020). Pengukuran risiko keamanan aset TI menggunakan metode FMEA dan standar ISO/IEC 27001:2013. Technomedia Journal, 5, 167–181. https://doi.org/10.33050/tmj.v5i2.1377
Nica, R., Götz, S., & Moltó, G. (2024). CMK: Enhancing resource usage monitoring across diverse bioinformatics workflow management systems. Journal of Grid Computing, 22(3). https://doi.org/10.1007/s10723-024-09777-z
Nishant, G. (2025). Optimizing DevOps for critical systems. Asian Journal of Research in Computer Science, 18(5), 544–553. https://doi.org/10.9734/ajrcos/2025/v18i5673
Passos, R. B. D., Matteussi, K. J., Anjos, J. C. S. dos, & Geyer, C. F. R. (2024). Towards a decentralized blockchain-based resource monitoring solution for distributed environments. Journal of Internet Services and Applications, 15(1), 1–13. https://doi.org/10.5753/jisa.2024.3813
Prasetyo, T. M. A., & Sitokdana, M. N. N. (2021). Analisis tata kelola pusat data dan informasi kementerian XYZ menggunakan COBIT 2019. Journal of Applied Computer Science and Technology, 2(2), 95–107. https://doi.org/10.52158/jacost.v2i2.265
Pujihastuti, A. (2021). Penerapan sistem informasi manajemen dalam mendukung pengambilan keputusan manajemen rumah sakit. Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI), 9(2), 200–200. https://doi.org/10.33560/jmiki.v9i2.377
Putri, D. A. Y., Narendra, E. C., Arsya, F. D. A., & Mukaromah, S. (2023). Evaluasi penyimpanan file dan backup terhadap risiko bencana di server fasilkom. Prosiding Seminar Nasional Teknologi Dan Sistem Informasi, 3(1), 592–601. https://doi.org/10.33005/sitasi.v3i1.373
Riyadi, S., & Jamaludin, M. A. (2023). Pengembangan sistem penjaminan mutu internal elektronik dengan metode devops di IAIN Palangka Raya. Smart Comp: Jurnalnya Orang Pintar Komputer, 12(4). https://doi.org/10.30591/smartcomp.v12i4.5988
Ruhibnur, R., Puji, S. L., & Maryani, S. (2022). Penerapan sistem informasi dalam pengajuan angka kredit internal politeknik negeri ketapang. Smart Comp: Jurnalnya Orang Pintar Komputer, 11(4). https://doi.org/10.30591/smartcomp.v11i4.4260
Sanugommula, H. (2023). Jenkins- The leading automation server for continuous integration and continuous delivery. ESP International Journal of Advancements in Computational Technology. https://doi.org/10.56472/25838628/ijact-v1i1p118
Saputro, F. E. N., & Sariningsih, W. (2020). Pengukuran tingkat kapabilitas tata kelola infrastruktur teknologi informasi menggunakan kerangka kerja COBIT 5 dan ITIL V.3 (Studi kasus: MBS Yogyakarta). Jurnal Teknologi Informasi Dan Komunikasi, 11(2), 46–54. https://doi.org/10.51903/jtikp.v11i2.216
Seelam, D. R. (2023). Integrating automated test frameworks with real-time monitoring tools. International Journal of Advanced Research in Science Communication and Technology, 413–418. https://doi.org/10.48175/ijarsct-11985e
Sowi?ski, P., Lacalle, I., Vaño, R., Palau, C. E., Ganzha, M., & Paprzycki, M. (2024). Overview of current challenges in multi-architecture software engineering and a vision for the future. arXiv. https://doi.org/10.48550/arxiv.2410.20984
Sudirman, S., Sarjan, M., Rokhmat, J., Hamidi, H., & Fauzi, I. (2022). Penilaian pendidikan IPA secara realtime dan terintegrasi dengan artificial intelligence: Perspektif filsafat. Jurnal Ilmiah Profesi Pendidikan, 7. https://doi.org/10.29303/jipp.v7i4b.888
Sundar, A. S. (2025). Blending automation and human expertise in SRE for banking applications. Global Journal of Computer Science and Technology, 51–60. https://doi.org/10.34257/gjcstgvol25is1pg51
Ullah, A., Kiss, T., Kovács, J., Tusa, F., DesLauriers, J., Dagdeviren, H., Arjun, R., & Hamzeh, H. (2023). Orchestration in the cloud-to-things compute continuum: Taxonomy, survey and future directions. Journal of Cloud Computing Advances Systems and Applications, 12(1). https://doi.org/10.1186/s13677-023-00516-5
Waruwu, G., & Sundari, J. (2024). Audit teknologi informasi menggunakan cobit 5 studi kasus PT. Global Network Dharma Jaya. INFOMATEK, 26(1), 69–74. https://doi.org/10.23969/infomatek.v26i1.13333
Wibowo, S., Gamayanto, I., & Luvilla, D. I. (2022). Analisis tata kelola sistem informasi skck online pada kantor pelayanan skck polrestabes kota semarang menggunakan framework cobit 5 dss 02. JOINS (Journal of Information System), 7(1), 26–40. https://doi.org/10.33633/joins.v7i1.5754
Widjajarto, A., Lubis, M., & Syahputra, M. K. R. (2020). Optimization performance management with FCAPS and ITILv3: Opportunities and obstacles. Indonesian Journal of Electrical Engineering and Computer Science, 17(1), 281–281. https://doi.org/10.11591/ijeecs.v17.i1.pp281-290
Wintang, S. M. R., Ruldeviyani, Y., Parmiyanto, J., Hulu, F. R. P., Putri, A., & Sulistiyo, R. D. (2023). Pengukuran tingkat kapabilitas sistem pengolahan data survei pada manajamen kinerja dan manajemen data operasi menggunakan dmbok dan cobit 2019 di BPS RI. Jurnal Teknologi Informasi Dan Ilmu Komputer, 10(3), 573–573. https://doi.org/10.25126/jtiik.20231036533









