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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Model DeLone dan McLean tentang Kepuasan Pengguna Sistem Informasi Rumah Sakit teguh pribadi
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 1 (2025)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss1.2025.3162

Abstract

Tujuan penelitian ini adalah menganalisis persepsi pemanfaatan sistem informasi rumah sakit di RS Hasansadikin Bandung dengan menggunakan Model DeLone dan McLean. Sampel dalam penelitian ini adalah tenaga medis dan staf rumah sakit dengan menggunakan teknik purposive sampling dan pengumpulan data melalui kuesioner. Data yang digunakan dalam penelitian ini adalah data panel cross-sectional, dengan variabel kualitas sistem, kualitas pelayanan, dan kepuasan pengguna yang terdapat dalam model DeLone dan McLean. Metode campuran yang digunakan merupakan modifikasi dari kedua model tersebut. Hasil penelitian menunjukkan adanya pengaruh positif yang signifikan antara kualitas sistem dan kualitas pelayanan terhadap kepuasan pengguna. Selain itu, ditemukan analisis yang mengindikasikan perlunya pengembangan sistem informasi rumah sakit yang ada saat ini, yang dapat dianalisis menggunakan FAST (Framework for the Application of System Thinking) yang dilakukan melalui empat tahap yaitu pendefinisian ruang lingkup, analisis masalah, analisis kebutuhan, dan perancangan logis.
a PENGEMBANGAN CHATBOT RAG UNTUK LAYANAN INFORMASI AKADEMIK DAN PEMERINTAHAN teguh pribadi; Arif Noor Iman
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 12 No. 3 (2026)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33197/jitter.vol12.iss3.2026.3533

Abstract

demand for information that is repetitive and often dispersed across official documents, web portals, circular letters, regulations, and standard operating procedures. Conventional rule-based chatbots are able to answer simple questions, but they are less adaptive to variations in natural language, policy changes, and the need for answers supported by source evidence. This article proposes a Retrieval-Augmented Generation (RAG)-based chatbot development framework to improve the accuracy, traceability, and security of information services in higher education institutions and government agencies. The proposed framework includes document acquisition, preprocessing, text segmentation, embedding generation, storage in a vector database, retrieval, reranking, answer generation by a large language model, source citation, security guardrails, and multilayered evaluation. The research method adopts a design science research approach through needs analysis, architecture design, RAG pipeline development, testing design, and risk mapping with mitigation strategies. The recommended evaluation metrics include precision@k, recall@k, mean reciprocal rank, context precision, context recall, faithfulness, answer relevancy, answer correctness, response latency, and the System Usability Scale. The design results indicate that a RAG chatbot has the potential to serve as a more accurate and auditable information service layer than a generic chatbot, particularly when the system is required to generate answers based on up-to-date official documents. The main contribution of this article is an architectural and evaluation framework that can serve as an initial blueprint for implementing RAG chatbots in academic services and digital public services.
Co-Authors Arif Noor Iman