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TINJAUAN SISTEMATIS SISTEM INFORMASI KESEHATAN BERBASIS WEB UNTUK TRANSFORMASI MANAJEMEN PENYAKIT KRONIS Askar Saputra; Sri Rejeki; Eriska Amalia Sakkar; Sriyanti Azzahra; Adel Asti Ananta; Dayanti Dayanti
Jurnal Teknologi dan Bisnis Cerdas Vol 2 No 1 (2026): Volume 2 Nomor 1 (Maret 2026)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v2i1.30

Abstract

Chronic diseases require effective long-term management, and advances in information technology have promoted the use of web-based health information systems to support chronic disease care. This study presents a systematic review of web-based health information systems used in chronic disease management. Literature was collected from PubMed, IEEE Xplore, and Google Scholar and selected based on predefined criteria. The results show that these systems improve patient monitoring, medication adherence, communication between patients and healthcare providers, and medical data management efficiency. Key features such as electronic health records, remote monitoring, and web-based health education support clinical decision-making and patient self-management. However, challenges related to data security, system interoperability, and user adoption remain. Overall, web-based health information systems show strong potential in enhancing chronic disease management, although further improvements are needed to ensure secure, user-friendly, and integrated healthcare systems.
Perancangan Sistem Informasi Absensi Siswa Berbasis Web Menggunakan Code QR/Barcode Askar Saputra; Sahru Ramadhana; Nurul Awalya; Eriska Amalia Sakkar; Nurhinaya Nurhinaya; Sri Rejeki; Nurhalimah Nurhalimah; Sisil Damayanti; Muh. Alfarizki Asbir
Jurnal Teknologi dan Bisnis Cerdas Vol 2 No 2 (2026): Volume 2 Nomor 2 (Juni 2026)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v2i2.53

Abstract

The application of information technology in the field of education plays an important role in improving the effectiveness of academic data management, particularly in the student attendance process. Manual attendance systems that are still widely used in schools have several weaknesses, including a high risk of recording errors, low efficiency, and difficulties in processing and reporting attendance data. This study aims to design a web-based student attendance information system that supports fast, accurate, and integrated attendance recording. The research methodology includes requirements analysis, system design using Unified Modeling Language (UML), and the implementation of a web-based system with a centralized database. The developed system provides features for managing student data, teacher data, class schedules, attendance recording, and automatic report generation. The results of this study indicate that the web-based student attendance information system can improve teachers’ work efficiency and facilitate schools in monitoring student attendance in real time.
PENGGUNAAN TEKNOLOGI WEB UNTUK SISTEM E-LEARNING ADAPTIF DI PENDIDIKAN: SYSTEMATIC LITERATURE REVIEW 2020–2025 Andi Nurwafia; Iin Sugiarti; Nia Rahmadani; Sri Rejeki; Dhimas Tribuana
Jurnal Teknologi dan Bisnis Cerdas Vol 1 No 3 (2025): Volume 1 Nomor 3 (Desember 2025)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v1i3.29

Abstract

This study aims to synthesize recent findings on the use of web technologies in adaptive e-learning systems in education and to identify the main research themes, benefits, and implementation challenges. The development of web technology has significantly influenced the evolution of e-learning systems, particularly in creating adaptive learning environments that cater to individual student needs. This study employs a Systematic Literature Review (SLR) guided by the PRISMA 2020 framework to analyze 40 relevant articles published between 2020 and 2025 The review identifies key themes, including web-based architectures, adaptive algorithms and personalization, learning analytics, user experience, and implementation and adoption challenges. The findings highlight that adaptive e-learning systems The findings indicate that adaptive e-learning systems can increase course completion and engagement by up to 40% and reduce learning time by around 30% while improving knowledge retention. However, challenges related to data privacy, infrastructure limitations, interoperability, and limited teacher training, as well as concerns about algorithmic transparency and ethics, remain significant barriers to widespread adoption. This study proposes a five-layer conceptual model that integrates technology infrastructure, data and intelligence components, pedagogical design, and user-centric interfaces to guide the development of effective adaptive e-learning systems.