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All Journal EDUMATIC: Jurnal Pendidikan Informatika Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal Teknimedia: Teknologi Informasi dan Multimedia JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Sinar Sang Surya: Jurnal Pusat Pengabdian kepada Masyarakat Jurnal Mahasiswa Sistem Informasi (JMSI) JIKI (Jurnal Ilmu Komputer dan Informatika) Jurnal Pengabdian Nasional (JPN) Indonesia
Dani Anggoro
Program Studi Ilmu Komputer, Universitas Muhammadiyah Metro
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Physics Public Health Social Sciences Other

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WA-DILA (WHATSAPP-BASED INTELLIGENT ASSISTANT): CHATBOT UNTUK MENINGKATKAN LAYANAN INFORMASI DI LEMBAGA SERTIFIKASI PROFESI Dani Anggoro; Yasmika Baihaqi; Aulia Tasya Putri. Dh; Nur Rahma Danitta; Muhammad Hidayah Alfino
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 6 No. 2 (2025): Desember 2025
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v6i2.285

Abstract

The utilization of information technology has transformed the delivery of public services, including competency certification information services provided by Professional Certification Institutions (LSP). WhatsApp, as one of the most popular instant messaging applications in Indonesia, is commonly used as a primary communication platform. However, the manual information delivery process at LSP Universitas Muhammadiyah Metro has led to several issues, such as delayed responses, overlooked messages, and inconsistent information. This study developed an Artificial Intelligence (AI)-based chatbot integrated with Natural Language Processing (NLP) on the WhatsApp platform, named WA-DILA (WhatsApp-based Intelligent Assistant). The system was developed using the Waterfall model, encompassing stages of requirements analysis, system design, implementation, testing, and maintenance. Node.js and MySQL were utilized in the development, and system functionality was evaluated using black box testing. WA-DILA was successfully implemented and capable of automatically responding to various user inquiries. All features functioned as expected based on testing results. Out of 217 users, 206 provided feedback, with 88% giving positive ratings (scores 4 and 5), indicating a high level of satisfaction with the chatbot service. WA-DILA effectively enhanced the efficiency and quality of information services at the LSP through fast, automated, and consistent responses. This solution demonstrates strong potential for broader implementation in other digital information service contexts, supporting the transformation of public services through the adoption of intelligent technology-based systems.
Co-Authors . Sudarmaji, . Angga Kurniawan Arif Hidayat Asmanto, Budi Aulia Tasya Putri. Dh Danang Prabowo Darmayanti, Elmira Febri Dedi Irawan Dolly Virgian Shaka Yudha Sakti Fenny Thresia Galeng Wijaya Zulkarnain guna yanti kemala sari siregar Lukito Dwi Yuwono Muhammad Hidayah Alfino Mustika Nur Rahma Danitta refani dandi kusuma Sejati Waluyo Sri Retnaning Rahayu Sri Retnaninng Rahayu Yasmika Baihaqi Yeni Ambar Wati Yofan Adi Pratama