Implementation of Augmented Generation Retrieval Method in Chatbot for Contract Customer Service Automation

Muhammad Roihan Rachman; Muhammad Rosidin; Wicaksono Yuli Sulistyo

doi:10.33506/insect.v11i2.4992

Authors

Muhammad Roihan Rachman Program Studi Sistem Informasi, Universitas Siber Muhammadiyah
Muhammad Rosidin Program Studi Sistem Informasi, Universitas Siber Muhammadiyah
Wicaksono Yuli Sulistyo Program Studi Sistem Informasi, Universitas Siber Muhammadiyah

DOI:

https://doi.org/10.33506/insect.v11i2.4992

Keywords:

Chatbot, Boarding House, Customer Service, Retrieval-Augmented Generation

Abstract

The rapid advancement of artificial intelligence technology has expanded its applications across various domains, including customer service. Property owners often face challenges in promptly and consistently responding to inquiries from potential tenants, necessitating an automated information service solution. This study aims to implement the Retrieval-Augmented Generation (RAG) method in a chatbot to enhance customer service effectiveness in boarding house management. The research methodology involves developing a RAG-based chatbot prototype that integrates information retrieval from a knowledge database with the generative capabilities of a language model. Experimental results indicate that the application of the RAG method improves the relevance and accuracy of responses provided to prospective tenants. The RAG-based chatbot demonstrates faster response times compared to manual service, thereby reducing the workload on property owners. The implementation of RAG in the chatbot proves effective in automating customer service for boarding houses, offering added value to both property owners and potential tenants through fast, relevant, and easily accessible service.

References

[1] Rosidin, M., Sulistyo, W. Y., Setyaputri, K. E., & Supriyanto, J. (2022). Rancang Bangun Sistem Informasi Pendataan Beasiswa PTMA Berbasis Web Menggunakan Metode Waterfall. Jurnal Riset Teknologi Informasi dan Komputer, 2(1), 7-11.

[2] Sulistyo, W. Y., Riadi, I., & Yudhana, A. (2020). Penerapan Teknik SURF pada Forensik Citra untuk Analisa Rekayasa Foto Digital (Application of SURF Technique in Image Forensic for Digital Photo Engineering Analysis). JUITA: Jurnal Informatika, 8(2), 179-186.

[3] Allard, M. F., & Voutama, A. (2024). Rancang bangun sistem informasi reservasi hotel Hotel Hebat berbasis website. Jurnal Informatika dan Teknik Elektro Terapan, 12(2).

[4] Pujiono, I., Agtyaputra, I. M., & Ruldeviyani, Y. (2024). Implementing retrieval-augmented generation and vector databases for chatbots in public services agencies context. JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer), 10(1), 216–223.

[5] Brown, T. B. (2020). Language models are few-shot learners special version. Advances in Neural Information Processing Systems (NeurIPS 2020), 1–25.

[6] Hariyanto, S., Fenriana, I., Putra, S. D., & Lasut, D. (2023). Perancangan Virtual Assistant Chatbot Berbasis Website sebagai Alat Promosi dan Dukungan Pemasaran. Jurnal Multidisiplin, 2(1).

[7] Ferdian, A. D., & Anwar, S. N. (2023). Pengembangan Chatbot untuk Informasi Wisata Interaktif di Tangerang Selatan menggunakan Framework Rasa. Jurnal Teknologi Dan Sistem Informasi Bisnis, 5(4), 476–483.

[8] Talaohu, S. A., Soekarta, R., & Surahmanto, M. (2025). Implementasi LLM Pada Chatbot PMB Universitas Muhammadiyah Sorong Menggunakan Metode RAG Berbasis Website. Framework: Jurnal Ilmu Komputer dan Informatika, 3(02).

[9] Ramadhani, T., & Nada, N. Q. (2025). Penerapan Metode Retrieval-Augmented Generation (RAG) Pada Chatbot E-Commerce Berbasis Gemini Ai. Jurnal Ilmiah ILKOMINFO-Ilmu Komputer & Informatika, 8(2), 301-313.

[10] Albert, G. D., & Voutama, A. (2025). Pengembangan chatbot berbasis PDF menggunakan local retrieval-augmented generation (RAG) dan Ollama. Jurnal Informatika dan Teknik Elektro Terapan, 13(2).

[11] Ariestono, E. M. S., Kardian, A. R., & Wardhani, I. P. (2023, August). Rancangan dan implementasi chatbot layanan informasi pendaftaran pascasarjana di perguruan tinggi. In Prosiding Seminar SeNTIK (Vol. 7, No. 1, pp. 341-353).

[12] Afandi, I. (2025). Implementasi Chatbot sebagai Solusi Inovatif dalam Pelayanan Akademik. Journal of Cyber Health and Computer, 3(1), 25-29.

[13] Sidik, M., Gunawan, B., & Anggraini, D. (2021). Pembuatan aplikasi chatbot kolektor dengan metode extreme programming dan strategi forward chaining. 8 (2), 293–302.

[14] Akirini, W. N., Dewi, W. N., Nas, C., Norhan, L., Sevtiana, A., Kusuma, R. P., & Sulhan, M. A. (2024). Perancangan Aplikasi Layanan Customer Service Menggunakan Chatbot Berbasis Website pada PT. Telekomunikasi Indonesia Witel Cirebon. Jurnal Digit: Digital of Information Technology, 14(1), 79-89.

[15] Guntara, R. G. (2022). Aplikasi Chatbot Konsultan Bisnis untuk UMKM Berbasis Dialogflow pada Platform Android. Indonesian Journal of Digital Business, 2(1), 9-16.