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TINJAUAN SISTEMATIS SISTEM INFORMASI KESEHATAN BERBASIS WEB UNTUK TRANSFORMASI MANAJEMEN PENYAKIT KRONIS Saputra, Askar; Rejeki, Sri; Amalia Sakkar, Eriska; Azzahra, Sriyanti; Asti Ananta, Adel; 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.
PENERAPAN TEKNOLOGI WEB UNTUK SMART TRANSPORTATION DAN MANAJEMEN ARMADA DI ERA IOT SYSTEMATIC LITERATURE REVIEW 2020-2025 Sangka, Nurul Yaqin; Ardiansyah, Muh.; Marzan, Asya Syara; Tribuana, Dhimas; 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.v2i1.31

Abstract

The development of the Internet of Things (IoT), web technology, cloud computing, digital twins, and data analytics has driven a major transformation in the transportation and fleet management sectors. This study presents a Systematic Literature Review (SLR) of 20 international publications from 2020–2025 that highlight the integration of web technologies (REST APIs, web dashboards, cloud platforms), IoT sensors, telematics, digital twins, and machine learning in smart transportation and fleet management. The SLR process followed the PRISMA steps, starting with the identification of 842 articles, title/abstract selection, eligibility assessment, and final screening. The results reveal five main focuses: (1) IoT-based sensing & monitoring, (2) Web-based fleet dashboards & APIs, (3) Data analytics & predictive maintenance, (4) Digital twin-enabled transportation optimization, and (5) Security & interoperability. Cluster analysis reveals a shift in innovation from simply vehicle tracking to real-time data-driven systems and digital twins. This research produces a conceptual model of digital transformation that integrates web technologies, analytics, IoT, and digital twins to support intelligent transportation systems. The study also identifies gaps such as sensor security, web services interoperability, and the lack of large-scale implementation.
PENERAPAN TEKNOLOGI WEB DALAM SISTEM PEMESANAN MAKANAN: SYSTEMATIC LITERATURE REVIEW 2020–2025 Ridwan, Muh; Ashar, Ashar; Reskianto, Dimas; Alfiansa, Reza; Tribuana, Dhimas; 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.v2i1.36

Abstract

The development of web technologies has brought significant changes to modern food ordering systems. This SLR addresses the gap in synthesizing web technology trends for Food Ordering Systems (FOS) from 2020–2025 by reviewing 30 articles from Google Scholar, ScienceDirect, and IEEE Xplore.of web technologies in Food Ordering Systems during the years 2020–2025. This study reviews 30 articles from various databases such as Google Scholar, ScienceDirect, and IEEE Xplore. Analysis reveals dominant technologies: Laravel (35%), React (25%), MySQL (65%), alongside payment APIs, Firebase real-time databases, with growing focus on security (HTTPS/JWT) and UX, payment API integration, the use of real-time databases such as Firebase, and increasing attention to security and user experience aspects. Findings highlight implementation challenges (security, scalability) and recommend cloud-based, secure frameworks for future FOS development.