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TRANSFORMASI PELAYANAN PUBLIK : INTEGRASI CHATBOT AI PADA PROSES PENGEMBANGAN APLIKASI MOBILESI-PEKA

-, M. Haikel Oksama TRANSFORMASI PELAYANAN PUBLIK : INTEGRASI CHATBOT AI PADA PROSES PENGEMBANGAN APLIKASI MOBILESI-PEKA. INTERNATIONAL SYMPOSIUM ON INFORMATION TECHNOLOGY AND DIGITAL INNOVATIONS (ISITDI) 2024.

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Abstract

Abstract— The rapid advancement of Artificial Intelligence (AI) and its integration into chatbot applications have opened new opportunities for enhancing government administration and public services. However, developing and maintaining chatbots poses significant challenges due to the necessity of proficiency in machine learning and natural language processing, distinguishing it from conventional software development. To address these challenges, this paper introduces SI-PEKA, an innovative public service mobile application featuring the intelligent chatbot, Tanya Jaksa, integrated with advanced AI technology. By leveraging the GPT-4 assistant, facilitated by the OpenAI Platform API, SI-PEKA overcomes these development hurdles, ensuring precise and accurate responses without requiring extensive expertise in AI from developers. Currently, public service delivery at the Public Prosecutor’s Office in Pekanbaru is conducted manually. SI PEKA revolutionizes this process by offering AI-driven legal consultations, thereby enhancing efficiency and convenience for the public. This paper details the development, implementation, and testing of SI-PEKA, highlighting its transformative potential in public service delivery. The development process includes system analysis and design, application implementation, chatbot integration, testing, and iterative improvement. The application underwent rigorous Blackbox testing, achieving a 100% acceptance rate. Results indicate that SI-PEKA functions effectively, providing accurate responses to user queries and demonstrating its efficacy in addressing user needs. This study underscores SI-PEKA's role in driving innovation and adapting to the rapid advancements in AI technology to meet evolving user requirements.

Item Type: Article
Contributors:
ContributionNameNIDN/NIDKEmail
Thesis advisorM. LUTHFI HAMZAH,, -1024019001muhammad.luthfi@uin-suska.ac.id
Subjects: 000 Karya Umum
Divisions: Fakultas Sains dan Teknologi > Sistem Informasi
Depositing User: fsains -
Date Deposited: 16 Jul 2024 06:30
Last Modified: 16 Jul 2024 06:30
URI: http://repository.uin-suska.ac.id/id/eprint/81979

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