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Efektivitas Implementasi Telemedicine pada Sistem Informasi Layanan Kesehatan Primer: Studi Literatur Khairina Eka Setyaputri; Wicaksono Yuli Sulistyo; Juwita Andriani
Jurnal Media Informatika Vol. 7 No. 1 (2026): Edisi Januari - Februari
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v7i1.8204

Abstract

Telemedicine telah menjadi bagian penting dari sistem informasi kesehatan dalam upaya meningkatkan efisiensi layanan, kepuasan pengguna, dan akses layanan kesehatan primer. Meningkatnya penerapan telemedicine pada layanan primer menuntut adanya bukti ilmiah yang sistematis mengenai efektivitasnya dari perspektif sistem informasi. Penelitian ini bertujuan untuk meninjau secara sistematis literatur open access terbaru guna mengevaluasi efektivitas telemedicine pada layanan kesehatan primer, khususnya ditinjau dari efisiensi sistem informasi, kepuasan pengguna dan akses layanan. Penelitian ini menggunakan metode Systematic Literature Review dengan pendekatan PRISMA melalui tahapan identifikasi, penyaringan, dan sintesis artikel ilmiah yang relevan dari basis data ilmiah. Sejumlah studi terpilih dianalisis menggunakan sintesis naratif dan tematik. Hasil kajian menunjukkan bahwa telemedicine mampu meningkatkan efisiensi layanan melalui pengurangan waktu tunggu dan optimalisasi sumber daya, meningkatkan kepuasan pengguna baik pasien maupun tenaga kesehatan, serta memperluas akses layanan kesehatan primer terutama di wilayah dengan keterbatasan layanan. Namun demikian, tantangan terkait integrasi sistem, literasi digital, dan keamanan data masih menjadi isu utama. Hasil penelitian ini diharapkan menjadi dasar pengambilan keputusan dalam pengembangan sistem informasi kesehatan berbasis telemedicine pada layanan primer.
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.
Community Empowerment Through Digital Literacy Education, Entrepreneurship, and Local Economic Governance Based on Community Service Programs Khairina Eka Setyaputri; Afriansyah Tanjung; Agniya Thahira; Desy Eliana; Devi Wulandari
Jurnal IPTEK Bagi Masyarakat Vol 5 No 3 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/j-ibm.v5i3.1625

Abstract

The gap in digital literacy capacity, entrepreneurship, and local economic governance remains a structural challenge faced by most Indonesian communities, particularly micro, small, and medium enterprise (MSME) actors, Village-Owned Enterprise (BUMDes) managers, and communities with limited access to quality education. This article aims to describe, analyze, and document the effectiveness of four University-Based Community Service (PBMU) programs implemented by Universitas Muhammadiyah Siber (SiberMU) during the November–December 2025 period. The four programs encompass plant-based entrepreneurship training, BUMDes governance training, digital literacy education on the brain rot phenomenon, and the development of an online Learning Management System (LMS) platform at 4u.mooc.or.id. A descriptive qualitative case study approach was employed, with data collected through pre-tests, post-tests, participatory observation, and participant satisfaction surveys. The results indicate that participants' technical competence in entrepreneurship improved by over 80%, understanding of BUMDes governance was significantly strengthened, digital literacy awareness increased among more than 100 webinar participants, and the LMS platform was successfully launched with eleven free e-courses accessible to the wider public. The study concludes that a multidisciplinary, online, and outcome-oriented community service approach can produce measurable transformative impacts on target groups, and recommends strengthening post-program mentoring mechanisms and multi-stakeholder collaboration to sustain long-term program outcomes.