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All Journal Jurnal INSYPRO (Information System and Processing) Agents: Journal of Artificial Intelligence and Data Science
kambau, Ridwan Andi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Agentic AI untuk Otomatisasi dan Personalisasi Layanan Akademik di Perguruan Tinggi Kambau, Ridwan Andi
Jurnal INSYPRO (Information System and Processing) Vol 10 No 1 (2025)
Publisher : Prodi Sistem Informasi UIN Alauddin

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Abstract

The transformation of higher education institutions from conventional Information Technology (IT)-based systems to Smart Universities requires a systemic and adaptive approach based on artificial intelligence. This study proposes and evaluates the design of an Agentic AI architecture to support academic management and services proactively and autonomously. Using a Design Science Research (DSR) approach, this study designs a multi-agent architecture-based system consisting of sub-agents such as Academic Planner, Advising Agent, and Evaluation Agent. The system was tested with a data sample based on academic service simulation using 500 student entries. The test results show an increase in academic service efficiency, characterized by an average response time of 880 ms, a KRS recommendation accuracy of 92.4%, and a user satisfaction level of 4.5 out of 5. A comparison of the baseline and state-of-the-art shows significant improvements in terms of interoperability, personalization, and operational efficiency. This study concludes that the Agentic AI architecture can be a strategic framework in accelerating the digitalization of academic services and supporting the transformation of higher education institutions towards AI-based Smart Universities.
SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMBERIAN BANTUAN SOSIAL DENGAN MULTI OBJECTIVE OPTIMIZATION BY RATIO ANALYSIS (MOORA) Ramli, Zulhisham; Kambau, Ridwan Andi; Hariani, Hariani
AGENTS: Journal of Artificial Intelligence and Data Science Vol 4 No 1 (2024): Vol 4 No 1 (2024): September - Februari
Publisher : Prodi Teknik Informatika Universitas Islam Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jagti.v4i1.78

Abstract

Cash Direct Assistance (BLT) is one of the conditional assistance programs from the government as a form of poverty alleviation program. The selection process of potential recipients of BLT in Lamatti Riaja Village, Sinjai Regency, it is not entirely accurate as it is still done manually, resulting in many recipients not meeting the criteria. Based on this, research is conducted to design a decision support system that will facilitate the automatic checking of data for eligible residents who are entitled to BLT funds for each disbursement. This aims to make the selection process more objective, time-efficient, and minimize potential errors in selecting BLT recipients. In this research, the Multi Objective Optimization By Ratio Analysis (MOORA) method is employed. The calculation process utilizes the MOORA algorithm, and the implementation of the system is in the form of a website using the System Development Life Cycle design method, providing good and accurate results. The testing method used is Black Box testing. This research produces a Decision Support System  website with the implementation of a data management subsystem using MySQL. The simulation results of the BLT recipient data calculation using the MOORA algorithm minimize errors in the selection process for potential BLT recipients.
Co-Authors Hariani Hariani, Hariani Ramli, Zulhisham