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All Journal TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Putra, Muhammad Sadam Saktia
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Implementasi Bot Whatsapp untuk Layanan Informasi Frontline: Studi Kasus: STMIK Widya Cipta Dharma Putra, Muhammad Sadam Saktia; Azahari; Pratiwi, Heny
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

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Abstract

This study implements a WhatsApp bot as an automated information service at STMIK Widya Cipta Dharma to assist frontline staff tasks. The system was developed using Node.js and the WhatsApp Web API (Baileys Library) with a rule-based matching approach that maps user keywords to predefined responses. The Waterfall method was applied through analysis, design, implementation, and Black Box Testing. The results show that the bot correctly answered 85% of queries and improved information service efficiency by up to 70%.
Implementasi Bot WhatsApp untuk Layanan Informasi Frontline: Studi Kasus: STMIK WICIDA Putra, Muhammad Sadam Saktia; Azahari, Azahari; Heny Pratiwi
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 5 No 2 (2025): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol5No2.pp320-326

Abstract

This study implemented a WhatsApp bot as a frontline information service at STMIK Widya Cipta Dharma (WICIDA). The main problems were the high burden of repetitive questions, limited service hours, and inconsistent responses. WhatsApp was chosen because of its high adoption rate and support for real-time communication. The study included needs analysis, bot architecture design, Node.js-based development, knowledge base integration, and performance evaluation. The results showed that the bot was able to answer 87.4% of questions correctly, reduce staff workload by 56%, and speed up response time to <3 seconds. These findings demonstrate that the WhatsApp bot is effective as a scalable solution to improve the quality of educational information services.
Co-Authors Azahari Azahari, Azahari Heny Pratiwi Pratiwi, Heny