Perancangan dan Implementasi Sistem Booking Suku Cadang Bengkel Motor Berbasis Web dengan Integrasi Chatbot Pelayanan Pelanggan
DOI:
https://doi.org/10.35746/jtim.v8i4.1103Keywords:
Chatbot, Laravel, Natural Language Processing (NLP), Information SystemsAbstract
Spare parts information services at motorcycle repair shops still face challenges in providing customers with fast and accessible information. Information regarding prices, specifications, and stock availability is generally provided by administrators or mechanics through instant messaging applications, which can delay responses when workshop activities are busy. An artificial intelligence-based chatbot can serve as an alternative by providing automated information services 24 hours a day. This study aims to develop an artificial intelligence-based chatbot as a spare parts information service integrated with a web-based ordering information system. The chatbot uses the Gemini API as a Large Language Model (LLM) to understand user queries and provide information based on spare parts data stored in the database, including products, prices, specifications, and stock availability. The system was developed using the System Development Life Cycle (SDLC) with the Waterfall model, using Laravel and MySQL, and is equipped with ordering and reservation features. The results of Black Box Testing showed a 100\% success rate across all chatbot and information system functions. The chatbot is capable of providing spare parts information automatically 24 hours a day, while the system supports the ordering and reservation processes.
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