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All Journal JITU : Journal Informatic Technology And Communication JOCHAC
Wicaksono Yuli Sulistyo
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science

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Pengembangan Sistem Informasi Manajemen dan Pelaporan (SIMPEL) Berbasis Website dengan Metode Waterfall David Fitrianto; Wicaksono Yuli Sulistyo
Journal of Cyber Health and Computer Vol 3 No 2 (2025): Journal of Cyber Health and Computer (JOCHAC)
Publisher : SIBER PRESS Universitas SIBERMU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64163/jochac.v3i2.103

Abstract

Lazismu Kebumen Region is a Muhammadiyah Zakat, Infak, and Alms Collection Institution that oversees 23 (twenty-three) Lazismu Service Offices in Kebumen Regency, but data reporting is still manual so it is less efficient and data for all service offices is not centralized in Lazismu Kebumen Region. This study aims to develop a management information system that functions as a centralized data reporting media based on a website by implementing the Laravel and Filament frameworks. The system development process uses the waterfall method, which consists of the stages of needs analysis, system design, implementation, testing and maintenance. The results of the system development that has been carried out run well and contains three main features including the fundraising division, program division and finance division. The results of the Black Box test show that the system functions according to specifications and user satisfaction evaluation of the system is easy to use. This system has been proven to increase the effectiveness of data reporting and make service office data centralized in Lazismu Kebumen Region. The system created has been effective in making reports in Lazismu Kebumen Region and can be adopted by similar institutions to support more effective data reporting. In addition to its practical benefits, this research contributes scientifically to the development of website-based systems and supports more effective management of modern institutions.
Penerapan RAG pada Chatbot Edukasi dan Deteksi Dini Penyakit THT Khairina Eka Setyaputri; David fitrianto; Wicaksono Yuli Sulistyo
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2251

Abstract

Limited access to fast and accurate medical information is often a major constraint in the early detection of Ear, Nose, and Throat (ENT) diseases. This study proposes the development of an intelligent chatbot using the Retrieval-Augmented Generation (RAG) architecture to minimize hallucinations in Large Language Models (LLMs). The system is built using the n8n low-code automation platform, integrated with the WhatsApp API as the user interface and the gpt-4o-mini model as the inference engine. The system's knowledge base is sourced from external databases, including clinical references and visit data, processed through a vector store to ensure that responses remain within the context of valid data. Testing results indicate that the implementation of RAG increases information accuracy compared to the standard model. Furthermore, the use of n8n has proven to provide operational cost efficiency and accelerate the deployment cycle. The system successfully achieved an average latency of under 5 seconds with a Success Rate of 95%. This study concludes that the integration of RAG on a no-code platform is an effective solution for providing precise and economical health informatics services.
Integrasi Moodle API dan LLM dalam Otomasi Monitoring Capaian Pembelajaran Lulusan Berbasis OBE Wicaksono Yuli Sulistyo; Joko Supriyanto
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2307

Abstract

The implementation of Outcome-Based Education (OBE) necessitates transparency and accountability in mapping Program Learning Outcomes (PLO). Nevertheless, the manual mapping process from an extensive array of courses (60 Course Learning Outcomes/CLO) to 10 PLOs frequently encounters administrative constraints and a high risk of human error. This study aims to design and develop an integrated OBE monitoring system utilizing the Moodle API for grade synchronization and the OpenAI API for academic documentation assistance. Adopting the Design Science Research (DSR) methodology, the system was implemented using native PHP. The findings demonstrate that Moodle API integration facilitates the real-time automation of grade retrieval per sub-CLO. Simultaneously, the application of Mermaid.js effectively transforms these data into dynamic traceability visualizations. Moreover, the implementation of the OpenAI API (GPT) provides significant cognitive assistance for faculty members in drafting Semester Learning Plans (RPS) aligned with competency standards. This system establishes a robust data infrastructure for institutions to perform accurate and transparent curriculum evaluations.
Co-Authors David Fitrianto Joko Supriyanto Khairina Eka Setyaputri