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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Economic, Bussines and Accounting (COSTING) Aptisi Transactions on Technopreneurship (ATT) MOVE: Journal of Community Service and Engagement Malcom: Indonesian Journal of Machine Learning and Computer Science International Journal of Community Service (IJCS) Bulletin of Social Informatics Theory and Application IIJSE International Transactions on Artificial Intelligence (ITALIC) Jurnal Teknologi dan Bisnis Cerdas
Dhimas Tribuana
Universitas Handayani Makassar
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PENERAPAN TEKNOLOGI WEB DALAM SISTEM PEMESANAN MAKANAN (FOOD ORDER SYSTEM) SISTEMATIC LITERATUR REVIEW Abel, Abel; Ahkas, Andi Suciana; Aziza, Nur; Wulan Dari, Rika; Mutmainnah, Mutmainnah; Tribuana, Dhimas
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.v1i3.19

Abstract

The implementation of web technologies in food ordering systems has experienced rapid growth in recent years, driven by post-pandemic digital transformation, increasing internet usage, and the adoption of mobile devices. This study aims to conduct a Systematic Literature Review (SLR) to identify technological trends, innovations, and implementation challenges of web-based food ordering systems during the 2020–2025 period. Referring to the PRISMA 2020 guidelines, 20 scientific articles were selected from an initial set of 100 articles sourced from Scopus and Google Scholar. The findings reveal five main points: (1) digitalization of ordering systems can increase operational efficiency by up to 45%; (2) QR Code integration supports accessibility without requiring application installation; (3) the use of RESTful API architecture enables real-time connectivity between customer, kitchen, and cashier modules; (4) the adoption of payment gateways such as QRIS, Midtrans, and Xendit enhances transaction security; and (5) the utilization of artificial intelligence (AI) supports personalized menus and automated recommendations. Additionally, the study highlights several critical success factors, including data security through SSL/TLS encryption, cloud-based scalability, responsive interfaces using modern frameworks, and appropriate selection of development methodologies. Future research is recommended to explore digital inclusion, the social impacts on labor, and implementation strategies for MSMEs with limited technological and financial resources.
SISTEM BERBASIS WEB, MANAJEMEN TRANSPORTASI, DIGITALISASI, TINJAUAN LITERATUR SISTEMATIS Ramadhana, Sahru; Damayanti, Sisil; Berlian, Andi Fajar; Yunansi Bonsa, Putri; Masdar, Imelda; Tribuana, Dhimas
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.v1i3.21

Abstract

The transportation industry is undergoing a major transformation with the development of digital technology. Challenges such as complex fleet management, dynamic routes, high operational costs, and customer demand for fast service have driven the emergence of Web-Based Transportation Management Systems (WBTMS). This study conducted a Systematic Literature Review (SLR) to analyze various studies discussing the implementation of WBTMS in the transportation sector. The SLR process was conducted following the PRISMA guidelines, which include the stages of identification, screening, feasibility assessment, and final selection of studies. Literature was collected through several major databases such as Scopus, IEEE Xplore, ScienceDirect, and Google Scholar, with publications reviewed from 2020 to 2025. The purpose of this study was to identify trends, benefits, challenges, and existing research gaps. The review results indicate that WBTMS can improve operational efficiency, transparency, and customer service quality. However, major challenges remain in the aspects of IT infrastructure, integration with legacy systems, and human resource readiness. This study provides recommendations for the transportation industry and academia to strengthen strategies for adopting web-based systems in the future.
IMPLEMENTASI WEB-BASED TRANSPORTATION MANAGEMENT SYSTEM DI INDUSTRI TRANSPORTASI : SYSTEMATIC LITERATURE REVIEW Nur Alifah, Alyah; Elsa, Elsa; Ahmadi, Muh. Taufiq; Rivaldi, Riksal; Tribuana, Dhimas
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.v1i3.26

Abstract

This systematic literature review examines 20 publications from 2020 to 2025 addressing the implementation of web-based Transportation Management Systems (TMS) across various transport sectors. Our analysis identifies three major clusters: first, enhanced operational visibility and fleet tracking via web/cloud solutions; second, process optimization through system integration, automation, and log-based analytics; third, significant implementation challenges stemming from organizational readiness, legacy system integration, and web security concerns. The three clusters interact with each other, so the success of web-based TMS depends not only on technology, but also on human involvement, processes, and infrastructure. From a theoretical perspective, our findings suggest extending technology adoption frameworks (e.g., TOE) to include variables such as data interoperability, digital readiness, and data governance. In practical terms, companies should conduct a comprehensive data readiness assessment, plan system integration (such as API or ERP), manage organizational change, and implement robust web security before launching a web-based transportation management system (TMS). Additionally, implementing real-time analytics and process mining on TMS logs is essential for continuous improvement. This review is limited by the heterogeneity of publication types (academic journals, industry reports, implementation projects), the lack of long-term quantitative performance data, and the absence of cross-country comparative studies. Future research should pursue multi-industry longitudinal studies, systematically evaluate web-based TMS performance metrics, and investigate security and interoperability issues as core components of the modern digital transportation ecosystem.
OPTIMALISASI E-COMMERCE MELALUI TEKNOLOGI WEB MODERN Ramadhani, Asnia; Melni, Melni; Sahra, Nurkhafitri; Nabila, Alya; Tribuana, Dhimas
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.v1i3.27

Abstract

This research aims to identify adoption trends, key benefits, and challenges in e-commerce optimization using modern web technologies such as Next.js, Laravel, Headless/Decoupled architecture, and Progressive Web Applications (PWA). The method used is a Systematic Literature Review (SLR) of academic publications from 2020 to 2025, with a comprehensive search across various scientific databases. The main results show a significant shift towards Headless/Decoupled Commerce, where Next.js is the dominant frontend framework and Laravel is the preferred backend. The implementation of these technologies consistently improves Core Web Vitals scores, data delivery efficiency, and SEO indexing, as well as increasing user engagement and retention on mobile through PWAs. Nevertheless, the challenges faced include initial development complexity, third-party integration, and a steep learning curve. In conclusion, the adoption of Headless Commerce with Next.js and PWA is an essential strategy to achieve competitive advantage in e-commerce business metrics.
PENGEMBANGAN APLIKASI WEB UNTUK MANAJEMEN LAYANAN KESEHATAN (E-HEALTH SYSTEM) Pradana, Ninda; Rusdin, Kausar; Isnansah, Zulfikar; Rusdin, Arman; 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.v2i1.28

Abstract

Digital transformation has driven healthcare systems to shift from conventional service models toward more integrated, efficient, and accessible care delivered through web-based e-health platforms. Web-based e-health applications have become the backbone of this transformation by offering innovative solutions to improve service quality, medical data accuracy, and patient satisfaction. This study aims to systematically map the technological architectures, functional features, implementation challenges, and impacts of web application development for healthcare service management (E-Health Systems) through a Systematic Literature Review (SLR) approach. The research method employed a systematic review of 20 scholarly articles published between 2020 and 2025, retrieved from reputable databases including IEEE Xplore, ScienceDirect, Scopus, and Google Scholar, based on clearly defined inclusion and exclusion criteria. The synthesis results indicate that modern architectures based on React.js, Node.js, microservices, and cloud computing are widely adopted to support intelligent Electronic Medical Records (EMR), integrated telemedicine ecosystems, and healthcare data analytics modules. The most frequently implemented features include web-based EMR, comprehensive telemedicine services, and data analytics platforms for clinical decision support. However, several key challenges remain, particularly advanced cybersecurity risks, interoperability gaps despite the adoption of standards such as FHIR, and socio-technical barriers affecting system acceptance and utilization by healthcare professionals and patients. These findings emphasize that the successful implementation of web-based e-health applications depends heavily on the integration of reliable technologies, user-centered interface design, and ethical data governance to ensure secure, inclusive, and patient-centered healthcare services.
PENGGUNAAN TEKNOLOGI WEB UNTUK SISTEM E-LEARNING ADAPTIF DI PENDIDIKAN: SYSTEMATIC LITERATURE REVIEW 2020–2025 Nurwafia, Andi; Sugiarti, Iin; Rahmadani, Nia; Rejeki, Sri; Tribuana, Dhimas
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.
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.
AIoT Driven Smart Solar System for Real Time Predictive Sustainable Energy Management Indrawan, Rizki; Very, Eka Dawn; Tribuana, Dhimas; Nabila, Efa Ayu
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.968

Abstract

The rapid expansion of solar photovoltaic (PV) technologies has increased the demand for intelligent, adaptive, and data-driven energy management systems. However, conventional and IoT only solar infrastructures still face limitations, including inefficient energy distribution, delayed fault detection, and an inability to respond dynamically to fluctuating environmental conditions. This study proposes an AIoT-based Smart Solar System that integrates IoT-enabled sensing modules with artificial intelligence for real-time monitoring, predictive analytics, and autonomous control. The system employs a distributed architecture consisting of edge devices, cloud analytics, and machine learning models particularly Long Short-Term Memory (LSTM) networks and regression-based predictors to enhance forecasting accuracy and operational responsiveness. The objective of this research is to improve power utilization, predictive reliability, and maintenance efficiency within solar energy systems. Experimental results demonstrate a 22.8% increase in power utilization, a 17% reduction in maintenance downtime, and a forecasting accuracy of 95.2% (R2 = 0.952). These findings indicate that AIoT integration significantly enhances energy intelligence, system reliability, and sustainability. Overall, the proposed architecture establishes a scalable foundation for next generation renewable energy systems capable of self learning, adaptive optimization, and real-time decision making.
Co-Authors Abdul Latief Arda Abel, Abel Ahkas, Andi Suciana Ahmad Dani Ahmad, Andani Ahmadi, Muh. Taufiq Alfiansa, Reza Andani Achmad Ardiansyah, Muh. Ashar Ashar Asmarani, Adelia Awalya, Nurul Aziza, Nur Baharuddin Baharuddin Berlian, Andi Fajar Budi Hermawan Damayanti, Sisil Dayanti Dayanti, Dayanti Dedi Triyanto Dewi Haryanti Agustan , Andi Dewi Haryanti Agustan, Andi Dewi, Kharisma Dianah, Koas Diath Yogmar, Amsar elsa, elsa Eman Suherman Fakbua, Nidanuch Febriansyah, Angky Fibrilya Herman, Radika Firdania, Andi Fitri, Anisa Halimah, Endang Hazriani Hazriani, Hazriani Hidayat Isiswanty Isnansah, Zulfikar Jusnidar, Jusnidar Khomsiah, Kharismatul Konate, Siaka Marzan, Asya Syara Masdar, Imelda Melni, Melni Muhammad Resky, Andi Muhammad Rusli Musfida, Firdha Mutmainnah Mutmainnah Nabila, Alya Nabila, Efa Ayu Nur Alifah, Alyah Nurfadilla, Nurfadilla Nurhinaya, Nurhinaya Nurwafia, Andi Pradana, Ninda Pratama, Denis Puri Swastika Gusti Krisna Dewi Puspita Ayu, Novalinda Rael Astillero, Marlon Rahma Wahdiniwaty Rahmadani, Nia Ramadhana, Sahru Ramadhani, Asnia Ramdan Satra Reskianto, Dimas Revalina, Revalina Ridwan, Muh Riskayanti, Riskayanti riswanto riswanto Rivaldi, Riksal Rizki Indrawan Rusdin, Arman Rusdin, Kausar Sahra, Nurkhafitri Said Uddin, Abu Sangka, Nurul Yaqin Setiawan, Yudhika Sri Rejeki Sugiarti, Iin Supriadi Supriadi Syafei, M. Yani Syafei, M. Yani Syafei Ulfani, Tri Umi Kalsum, Andi Umi Narimawati Umiyati, Hesti Usman Usman Very, Eka Dawn Whardani, Kristina Whardani Wulan Dari, Rika Yunansi Bonsa, Putri Yusni Yusni Yuyun, Yuyun