IMPLEMENTASI CHATBOT YANG TERINTEGRASI LAYANAN KEPOLISIAN DALAM PEMBUATAN SIM

Ekananda Naufal Allaam; Eri Zuliarso

doi:10.21063/jtif.2024.V12.2.77-83

Authors

Ekananda Naufal Allaam
nanda.allaam@gmail.com
Stikubank University
Eri Zuliarso

Keywords:

natural language processing, (NLP), driver's license, (SIM), chatbots, police services, service efficiency

Abstract

This research explores the deployment of a chatbot integrated with police services, focusing on the driver's license (SIM) application process. The urgency of this research arises from the need to enhance the accessibility and efficiency of public services. By leveraging Natural Language Processing (NLP), the chatbot is designed to provide rapid and accurate information regarding the SIM application procedures, renewal guidelines, and necessary documents. The study employs a mixed-methods approach, combining quantitative methods such as surveys and statistical analysis with qualitative methods including observations and interviews. This comprehensive approach allows for the development and assessment of the chatbot system within the context of SIM applications. The findings reveal that the chatbot significantly reduces processing time, improves user satisfaction, and streamlines the overall application experience. This integration demonstrates substantial potential for advancing public service delivery by making it more accessible and efficient. The research underscores that chatbot technology can play a crucial role in modernizing and optimizing public services, offering scalable solutions for future improvements in service delivery.

References

I. Q. Huda and A. Prihanto, “Perbandingan Tahap Implementasi Dan Performa Chatbot Telegram Dengan Platform Google Dialogflow Dan Database Postgresql,” Journal of Informatics and Computer Science, vol. 05, 2023.

V. Christanti, J. Jesslyn, and F. Orlando, “Implementasi Chatbot Pelajaran Sekolah Dasar Dengan Pandorabots,” CICES, vol. 9, no. 2, pp. 203–213, Aug. 2023, doi: 10.33050/cices.v9i2.2703.

M. Sarosa, A. Suyono, M. K. #3, and Z. Sari, “JEPIN (Jurnal Edukasi dan Penelitian Informatika) Implementasi Chatbot Pembelajaran Bahasa Inggris menggunakan Media Sosial,” 2020.

F. A. Pribadi, A. T. Firdausi, P. P. Arhandi, J. T. Informasi, and P. N. Malang, “JIP (Jurnal Informatika Polinema) Finite State Machine Pada Perancangan Line E-Commerce Chatbot Menggunakan NodeJs MongoDb dan Express,” 2023.

T. A. Zuraiyah, D. K. Utami, and D. Herlambang, “IMPLEMENTASI CHATBOT PADA PENDAFTARAN MAHASISWA BARU MENGGUNAKAN RECURRENT NEURAL NETWORK,” Jurnal Ilmiah Teknologi dan Rekayasa, vol. 24, no. 2, pp. 91–101, 2019, doi: 10.35760/tr.2019.v24i2.2388.

M. Sidik, B. Gunawan, D. Anggraini, and P. Korespondensi, “PEMBUATAN APLIKASI CHATBOT KOLEKTOR DENGAN METODE EXTREME PROGRAMMING DAN STRATEGI FORWARD CHAINING,” vol. 8, no. 2, pp. 293–302, 2021, doi: 10.25126/jtiik.202184298.

S. Rugved Lola, R. Dhadvai, W. Wang, and T. Zhu, “Chatbot for fitness management using IBM Watson,” 2021.

S. Hariyanto, I. Fenriana, S. D. Putra, and D. Lasut, “Perancangan Virtual Assistant Chatbot Berbasis Website sebagai Alat Promosi dan Dukungan Pemasaran,” Jurnal Multidisiplin, vol. 2, no. 1, 2023.

V. Socatiyanurak et al., “LAW-U: Legal Guidance through Artificial Intelligence Chatbot for Sexual Violence Victims and Survivors,” IEEE Access, vol. 9, pp. 131440–131461, 2021, doi: 10.1109/ACCESS.2021.3113172.

Z. A. Taufik and S. Supriyanto, “Implementasi Chatbot untuk Layanan Frequently Asked Question Akademik dengan Penggunaan Dialogflow,” Jurnal Saintekom: Sains, Teknologi, Komputer dan Manajemen, vol. 13, no. 1, pp. 1–10, 2023.

N. Hikmah, D. Ariyanti, and F. A. Pratama, “Implementasi Chatbot Sebagai Virtual Assistant di Universitas Panca Marga Probolinggo menggunakan Metode TF-IDF,” JTIM: Jurnal Teknologi Informasi dan Multimedia, vol. 4, no. 2, pp. 133–148, 2022.

A. Iswandi, “Implementasi Chatbot pada Order Management System Usaha Mikro Kecil Menengah (Studi Kasus Hdkreasi.” 2018.

F. Tjiptono, SERVICE MANAGEMENT: Mewujudkan Layanan Prima Edisi 4. Penerbit Andi, 2022.

Y. Wangsajaya, M. Zarlis, Z. Situmorang, and A. Wibowo, Monograf Model Pengukuran Kualitas Layanan Publik Dengan Indikator Presisi Polri Berbasis Kecerdasan Buatan. Nas Media Pustaka, 2023.

A. Karim et al., Pengantar teknologi informasi. Yayasan Labuhanbatu Berbagi Gemilang, 2020.