Web-Based Chatbot Information System for Horticultural Cultivation Consultation and Seed Selection Using the Gemini API (A Case Study of CV Berkah Dedek Jambi)

Muhamad Kifran Alhami, Ahmad Ferdian Shobur

Abstract


Manual customer service at CV Berkah Dedek Jambi often faces limitations in time and response speed when providing information regarding horticulture seed selection and cultivation guides. These operational constraints impact the efficiency of information dissemination to farmers and consumers who require instant solutions. Therefore, this study aims to design an interactive virtual assistant information system to handle these obstacles. This research utilizes the Waterfall software development method, which includes the stages of analysis, design, implementation, and testing. The developed system is a web-based hybrid Chatbot that integrates a decision tree flow for structured catalog navigation, along with Large Language Model (LLM) technology through the Gemini API for natural language processing. The programming languages used include PHP, JavaScript (AJAX), Tailwind CSS for the user interface, and MySQL  as the database management system. The result of this study is a Chatbot information system capable of responding dynamically and accurately to customer inquiries regarding product details and planting techniques. The existence of this system makes it easier for customers to obtain consultation services 24 hours a day without operational hour limitations.


Keywords


Chatbot, Cultivation, Gemini API, Horticulture, Waterfall, Website

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References


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DOI: https://doi.org/10.5281/zenodo.23357129

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Socius: Jurnal Penelitian Ilmu-Ilmu Sosial

ISSN : 3025-6704