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All Journal PROSIDING SEMINAR NASIONAL Jurnal Simetris Kompak : Jurnal Ilmiah Komputerisasi Akuntansi E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Elkom: Jurnal Elektronika dan Komputer Jurnal Manajemen Informatika dan Sistem Informasi MEANS (Media Informasi Analisa dan Sistem) INFORMATIKA Jurnal Publikasi Ilmu Komputer dan Multimedia Jurnal Manajemen Informatika & Teknologi Jurnal Publikasi Teknik Informatika (JUPTI) Akuntansi: Jurnal Riset Ilmu Akuntansi Journal of Technology Informatics and Engineering VISA: Journal of Vision and Ideas Jurnal Ilmiah Sistem Informasi Switch: Jurnal Sains dan Teknologi Informasi
Arsito Ari Kuncoro
Universitas Sains Dan Teknologi Komputer
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences

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Pengembangan Aplikasi Chat Bot Whatsapp, Telegram, dan Website Laporan untuk Instansi Pemerintah Disperkim Pool Seroja Kota Semarang Berbasis Natural Language Processing Endrahadi Rahadian; Toni Wijanarko Adi Putra; Budi Hartono; Arsito Ari Kuncoro; Eko Siswanto
Jurnal Manajemen Informatika & Teknologi Vol. 6 No. 1 (2026): Mei : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/fzgtt673

Abstract

The rapid development of information and communication technology has encouraged government agencies to improve the quality of public services through digital transformation. This research focuses on developing a multi-platform chatbot application integrated with WhatsApp, Telegram, and a web-based reporting system to support the public service operations of DISPERKIM POOL Seroja, Semarang City. The main issues identified include limited access to information, dependency on office hours, and increased workload for staff in handling repetitive inquiries from the public. Using a methodology that includes needs analysis, system design, implementation, and testing, the chatbot was developed using Natural Language Processing (NLP) to understand user intent in natural Indonesian language and provide accurate, real-time automated responses. The implementation results show that the system performs effectively, achieving an intent recognition accuracy rate of over 85% and an average response time of less than three seconds. User testing also indicates high satisfaction levels, as the chatbot significantly simplifies access to information and facilitates faster reporting processes. Overall, the system enhances public service efficiency, reduces the burden on DISPERKIM staff, and supports the government's digital transformation agenda toward smart and responsive public services.
Co-Authors Abd. Rasyid Syamsuri Abidin, Rohmat Alex Ristanto Pratama Ayyub H.B.N.MS Bagus Panuntun budi hartono Budi Hartono Budi Hartono Budi Santoso Dani Sasmoko Deni Candra Saputra Dwi Budi Santoso Edy Noriyanto Eko Siswanto Eko Siswanto Elisa Satyaningrum Elok Rosyidah Endrahadi Rahadian Febrianna Vecillia Sukamto Febryantahanuji Febryantahanuji Fendy Suhono Hadi Yusuf Hadi Yusuf Hendri Rasminto Iman Saufik Suasana Jamaludin, Haris Kasih Purwantini Khoirur Rozikin Khoirur Rozikin LANNI DWI SAPUTRI, LANNI DWI Lida Hartatik Lutmawati Lutmawati Maya Utami Dewi Maya Utami Dewi, Maya Utami Migunani Migunani Muhamad Zaenudin Muhamad Zaenudin Nugroho, Didik Setio Nuha, Anandeka Alfin Ulin Paulus Hartanto Prastyanto, Dicky Dwi Pratama, Bayu Rizki Pratama Rizky Aji Prasetyo Siswanto , Siswanto Somad, Mohamad Ali Sulartopo Sulartopo Syifa Ashafatun Tomara Indrajaya Toni Wijanarko Adi Putra Triyani Triyani Yussi Anggraini Zaenal Mustofa