AI Web-based Computer Service Management System at PUSCOM

Authors

  • Muhammad Irvan Shandika Amikom University Yogyakarta, Indonesia Author
  • Kusnawi, S.Kom, M.Eng Amikom University Yogyakarta, Indonesia Author

DOI:

https://doi.org/10.5281/zenodo.16280893

Keywords:

Service Management System, Artificial Intelligence, Chatbot, Web-Based

Abstract

This research aims to develop a web-based computer service management system with artificial intelligence (AI) integration at PUSCOM to address challenges in manual service management, such as customer data recording, service status tracking, and report generation. The problems faced by PUSCOM include potential data errors, loss of physical documents, and delays in performance evaluation due to manual processes. The research method used is the Agile SDLC approach, covering problem identification, data collection through interviews and documentation, functional and non-functional requirements analysis, system modeling using UML, NoSQL Firebase database design, interface design, implementation using Next.js and Javascript, and AI chatbot integration using Vercel AI SDK with the Google Gemini model. The research results demonstrate the successful development of a system capable of automating data recording, facilitating online service registration, managing products, and providing an AI chatbot to assist admins in report generation and real-time damage analysis. This system is proven to enhance operational efficiency, reduce manual errors, and support strategic decision-making at PUSCOM, contributing to improved service quality and customer satisfaction.

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References

AL-Zoubi, O. H., Shawaqfah, M., Almomani, F., Damash, R. A., & Al-Zboon, K. (2022). Photovoltaic Solar Cells and Panels Waste in Jordan: Figures, Facts, and Concerns. Sustainability (Switzerland), 14(20). https://doi.org/10.3390/su142013313

Ameen, N., Pagani, M., Pantano, E., Cheah, J. H., Tarba, S., & Xia, S. (2024). The Rise of Human–Machine Collaboration: Managers’ Perceptions of Leveraging Artificial Intelligence for Enhanced B2B Service Recovery. British Journal of Management. https://doi.org/10.1111/1467-8551.12829

Andrade, I. M. De, & Tumelero, C. (2022). Increasing customer service efficiency through artificial intelligence chatbot. Revista de Gestao, 29(3), 238–251. https://doi.org/10.1108/REGE-07-2021-0120

Dwi Saputra, R., Izwan Heroza, R., Indah, D. R., Meiriza, A., & Putra, P. (2022). DIGITAL INSTRUMENT FOR INFANT AND TODDLER MORTALITY REVIEW USING USER-CENTERED DESIGN METHOD. JURNAL RISET INFORMATIKA, 4(4). https://doi.org/10.34288/jri.v4i4.174

Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2021). Artificial Intelligence and Business Value: a Literature Review. https://doi.org/10.1007/s10796-021-10186-w/Published

Ghumatkar, R. S., & Date, A. (2023). Software Development Life Cycle (SDLC). International Journal for Research in Applied Science and Engineering Technology, 11(11), 1162–1165. https://doi.org/10.22214/ijraset.2023.56554

Giancarlo, M., Cevallos, O., Lozano Jaramillo, G. A., Luis, J., Vélez, B., Irinuska, M., Zambrano, U., Diana, Lady, Montesdeoca, Z., Augusto, M., Palomeque, B., Alberto, G., Jaramillo, L., & Montesdeoca, D. Z. (2024). Implementation of Artificial Intelligence in Quality Management in SMEs: Benefits and Challenges.

Jaya, U. B., Amrullah, R., Megayanti, A., Yusta, A., Al-Khairiyah, S., Enggus, J., No, A., Cilegon Banten, C., Insan, S., Cilegon, U., Sultan, J. L., & Kav, A. T. (2020). SISTEM INFORMASI MANAJEMEN ASSET BERBASIS WEB ( STUDI KASUS : PT. KRAKATAU IT CILEGON ). 4(2).

Khasanul Huda, M., Izzadin, A., dan Penyiaran Islam, K., Penyuluhan Islam, B., Ushuluddin Adab dan Dakwah, F., & Islam Negeri Abdurrahman Wahid Pekalongan, U. K. (2024). IMPLEMENTASI ARTIFICIAL INTELLIGENCE DALAM MENINGKATKAN EFISIENSI DAN LAYANAN DI MARKETPLACE DIGITAL.

Miller, T. (2019). Explanation in artificial intelligence: Insights from the social sciences. In Artificial Intelligence (Vol. 267, pp. 1–38). Elsevier B.V. https://doi.org/10.1016/j.artint.2018.07.007

Nurkholis, A., Heidiani Ikasari, I., & Kunci, K. (2023). Peran Artificial Intellegence Dalam Sistem Informasi Manajemen. Jurnal Artificial Inteligent Dan Sistem Penunjang Keputusan, 01(01). https://jurnalmahasiswa.com/index.php/aidanspk

Pargaonkar, S. (2023). A Comprehensive Research Analysis of Software Development Life Cycle (SDLC) Agile & Waterfall Model Advantages, Disadvantages, and Application Suitability in Software Quality Engineering. International Journal of Scientific and Research Publications, 13(8), 120–124. https://doi.org/10.29322/ijsrp.13.08.2023.p14015

Samsi Wijaya, C., Wijaya, I., Tamim Shidqi, M., & Novita, D. (2023). ANALISIS IMPLEMENTASI ARTIFICIAL INTELLIGENCE UNTUK BISNIS: SYSTEMATIC LITERATURE REVIEW. Computer Science And Information Technology |, 4(2), 133.

Siau, K. L., & Wang, W. (2020). Artificial Intelligence: A Study on Governance, Policies, and Regulations. https://www.researchgate.net/publication/325934555

Singh, K. (2021). Agile Methodology for Product Development A Conceptual Study. International Journal of Recent Technology and Engineering (IJRTE), 10(1), 209–215. https://doi.org/10.35940/ijrte.A5899.0510121

Yang, S. (2021). Research and Implementation of Web-based Integrate Network Service Management System. IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 14–18. https://doi.org/10.1109/IAEAC50856.2021.9391039

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Published

22-07-2025

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How to Cite

AI Web-based Computer Service Management System at PUSCOM. (2025). SITEKNIK: Sistem Informasi, Teknik Dan Teknologi Terapan, 2(3), 219-230. https://doi.org/10.5281/zenodo.16280893

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