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All Journal Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia
Hadie, Agus Nur
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Computer Science & IT Education Engineering

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Enhancing Accessibility in Local Government Data Portals via Retrieval- Augmented Generation: A Case Study on Satu Data Indonesia in Banyumas Regency Hadie, Agus Nur; Tahyudin, Imam; Hariguna, Taqwa
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.5153

Abstract

Public access to local government data in Indonesia, such as that in the Satu Data Indonesia portal for Banyumas Regency, is severely hampered by outdated search interfaces and the technical complexity of handling heterogeneous data formats like PDF, Excel, and CSV. This research directly addresses this accessibility gap by designing, developing, and evaluating an intelligent question-answering system. We introduce a novel application of a Retrieval- Augmented Generation (RAG) architecture tailored for Indonesian local government data. The core novelty lies in our methodology for handling heterogeneous data formats (PDF, Excel, CSV) by integrating a low-code orchestrator (n8n) with a high-performance vector database (pgvector), a practical solution for a common public sector challenge. The system utilizes the text-embedding-3-large model for semantic understanding and gpt-4.1 for generating grounded, factual answers. The system's effectiveness was rigorously validated, achieving a perfect 100% score across accuracy, precision, recall, and F1-score on defined test cases. Crucially, usability testing with end-users confirmed the system is perceived as significantly more efficient and user-friendly than manual data searching. The primary impact of this work is a validated, replicable blueprint for local governments to democratize public information. By transforming complex data retrieval into an intuitive conversation, this research offers a practical AI solution to enhance governmental transparency and citizen engagement.
Transformasi Portal Data Pemerintah di Indonesia dengan Large Language Model dan Retrieval-Augmented Generation: Tinjauan Pustaka Sistematis Hadie, Agus Nur; Tahyudin, Imam; Hariguna, Taqwa
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 12 (2025): JPTI - Desember 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.1175

Abstract

Integrasi kecerdasan buatan (Artificial Intelligence/AI) seperti Large Language Model (LLM) dan Retrieval-Augmented Generation (RAG) berpotensi mentransformasi portal data pemerintah, namun implementasinya terhambat oleh kurangnya tinjauan sistematis dan kerangka evaluasi yang spesifik. Penelitian ini bertujuan untuk mengidentifikasi, mengevaluasi, dan mensintesis literatur terkini mengenai metodologi, keberhasilan, dan tantangan integrasi teknologi tersebut melalui tinjauan pustaka sistematis. Metode ini diterapkan dengan pencarian terstruktur pada basis data Google Scholar, Scopus, dan IEEE Xplore, diikuti proses penyaringan bertahap. Hasil tinjauan menunjukkan bahwa teknologi AI terbukti efektif meningkatkan komunikasi pemerintah-warga, efisiensi layanan, dan akurasi pengambilan data, di mana penyesuaian model menjadi faktor penting. Namun, implementasinya masih menghadapi tantangan signifikan terkait tata kelola, kualitas data, dan masalah etis. Hasil penelitian ini menekankan pentingnya pengembangan kerangka kerja tata kelola yang komprehensif untuk memastikan penerapan AI yang akuntabel dan selaras dengan kepentingan publik.
Co-Authors Imam Tahyudin Taqwa Hariguna