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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Patria Artha Technological Journal Simtek : Jurnal Sistem Informasi dan Teknik Komputer Patria Artha Journal of Community Jurnal Teknologi dan Bisnis Cerdas
Dayanti, Dayanti
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Public Health Social Sciences

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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.
Rancang Bangun Sistem Informasi Wisata Alam Dan Kuliner Di Malino Berbasis Website rahmatullah, muh.ridho; Syarif, Irwan; Dayanti, Dayanti; Aminuddin, Rosihan
Patria Artha Technological Journal Vol 9, No 2 (2025): Patria Artha Technological Journal
Publisher : Department of Electrical Engineering, University of Patria Artha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33857/patj.v9i2.960

Abstract

Penelitian ini membahas perancangan dan implementasi Sistem Informasi Obyek Wisata berbasis website di Malino, Kabupaten Gowa, Sulawesi Selatan. Tujuan penelitian adalah menghasilkan sistem yang mampu mengelola dan menyajikan informasi destinasi wisata alam, wisata buatan, dan wisata kuliner secara terintegrasi, sehingga mempermudah wisatawan memperoleh informasi yang akurat dan terkini. Metode penelitian yang digunakan adalah Research and Development (RD) dengan model pengembangan Waterfall, yang meliputi tahap analisis kebutuhan, perancangan, pengkodean, pengujian, dan implementasi. Pengumpulan data dilakukan melalui observasi, wawancara, dokumentasi, dan studi pustaka. Pengujian sistem menggunakan metode Black Box Testing untuk memastikan setiap fungsi berjalan sesuai harapan, termasuk fitur login, registrasi, peta lokasi, galeri, artikel, dan testimonial. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan dapat menampilkan informasi wisata secara sistematis, dilengkapi estimasi biaya, fasilitas, dan rute lokasi. Berdasarkan uji kelayakan menggunakan angket, sistem dinilai “Sangat Layak” untuk digunakan sebagai media promosi digital pariwisata Malino. Implementasi sistem ini diharapkan dapat meningkatkan jumlah kunjungan wisatawan, mendukung promosi pariwisata yang efektif, dan mendorong pengelolaan destinasi secara modern dan berkelanjutan.
Explainable rice yield from Sentinel-1 and Sentinel-2 satellite data for food security Tribuana, Dhimas; Sattar, Usman; Mide, Baharuddin; Dayanti, Dayanti
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp615-627

Abstract

Reliable, explainable crop-yield estimates are essential for food-security planning in data-sparse regions. We present a transparent pipeline for district-level (regency) rice yield prediction in Indonesia that fuses Sentinel-1 synthetic aperture radar (SAR), Sentinel-2 normalized difference vegetation index (NDVI), and weather/reanalysis features. The system standardizes inputs per province, fixes a 16-day temporal key, and uses a small, auditable ensemble of tree models (gradient boosting+light gradient-boosting machine (LightGBM)). Trained on ≤2023 data and evaluated on a 2024 temporal hold-out, a joint West Java ∪ South Sulawesi model achieves root mean square error (RMSE)≈0.80 t/ha, mean absolute error (MAE)≈0.48 t/ha, and R-squared (R²)≈0.33 at regency scale. Feature importances and Shapley additive explanations (SHAP) confirm that phenology (NDVI peak, integral, green-up/senescence), SAR backscatter (vertical transmit-vertical receive/vertical transmit-horizontal receive (VV/VH)), and wind/pressure are consistent drivers under monsoon conditions. The workflow supports routine, one-click provincial updates and produces parity maps and error bars for actionable diagnostics. These results demonstrate that combining Sentinel-1, Sentinel-2, and basic meteorology delivers accurate, interpretable, and operational yield signals suited to Indonesia’s food security needs, while providing a clear recipe for scaling to additional provinces.
Co-Authors Afriansa, Muh. Al Khudri, Said Alfiansa, Reza Amalia Sakkar, Eriska AMINUDDIN, ROSIHAN Annisa Annisa Aprinda, Cici Ardiansyah, Muh. Ashar Ashar Asnefi, Asnefi Asti Ananta, Adel Aulia, Listi Awaluddin Awaluddin Azzahra, Sriyanti Dhimas Tribuana Erwin Erwin Hasriani Hasriani, Hasriani inda, nur Isnansah, Zulfikar Khatimah, Khusnul Marzan, Asya Syara Mide, Baharuddin Mutmainna, Wahda Nurfadillah, Andi Pradana, Ninda Putri, Andi Nur Rahmatullah Rahmatullah rahmatullah, muh.ridho Ramadani, Mia Reskianto, Dimas Ridwan, Muh Rusdin, Arman Rusdin, Kausar Sangka, Nurul Yaqin Saputra, Askar Sattar, Usman Serli, Serli Sri Rejeki Syarif, Irwan TAHA, SYAMSUMARLIN Usman Usman Usman, Jumiaty Yogia Ananda, Syakila Yugistira, Yugistira Yusuf, Aril Yuyun, Yuyun