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Jurnal Teknologi dan Bisnis Cerdas
Published by PT. Plexi Digital Indonesia
ISSN : -     EISSN : 31098924     DOI : https://doi.org/10.64476/jtbc
Core Subject : Economy, Science, Social, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science
Jurnal Teknologi dan Bisnis Cerdas (JTBC) mempublikasikan artikel ilmiah orisinal dari akademisi, peneliti, dan praktisi yang berfokus pada pengembangan dan integrasi antara teknologi dan dunia bisnis secara cerdas dan inovatif. Ruang lingkup jurnal ini meliputi namun tidak terbatas pada topik-topik berikut: Inovasi dalam Teknologi Informasi dan Komputer untuk pengambilan keputusan bisnis Sistem Informasi Manajemen, ERP, dan teknologi digital dalam organisasi Transformasi digital dan bisnis berbasis data di era industri 4.0 Kecerdasan buatan, data mining, dan machine learning untuk aplikasi ekonomi dan bisnis Manajemen bisnis digital, kewirausahaan berbasis teknologi, dan e-commerce Perilaku organisasi dan kepemimpinan dalam perusahaan teknologi Integrasi teknologi dalam manajemen sumber daya manusia, keuangan, pemasaran, dan operasional Studi kasus dan implementasi teknologi dalam pengembangan usaha mikro, kecil, dan menengah (UMKM) JTBC juga terbuka untuk artikel interdisipliner yang menjembatani ilmu komputer, ekonomi, dan manajemen dalam konteks solusi cerdas dan berbasis teknologi.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 32 Documents
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Peran Strategis Informatika Manajemen dalam Mendorong Transformasi Digital: Sebuah Tinjauan Sistematis Literatur Tribuana, Dhimas; Puspita Ayu, Novalinda; Said Uddin, Abu; Firdania, Andi; Dewi Haryanti Agustan , Andi; Rusli, Muhammad
Jurnal Teknologi dan Bisnis Cerdas Vol 1 No 2 (2025): Volume 1 Nomor 2 (September 2025)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v1i2.11

Abstract

Digital transformation (DT) has become one of the most critical strategic issues in modern organizational management across both public and private sectors. This study adopts a Systematic Literature Review (SLR) approach guided by the PRISMA 2020 framework to examine 45 scholarly articles published between 2006 and 2025. The analysis aims to identify overarching patterns, key contributions, research gaps, and future research directions in the context of DT. The synthesis reveals five main clusters: (1) Governance & Alignment as the digital governance foundation ensuring strategic coherence, (2) Digital Capabilities & Dynamic Capabilities as performance and innovation enablers, (3) Artificial Intelligence & Generative AI as drivers of innovation as well as ethical challenges, (4) Public Sector & Smart Governance focusing on public values, transparency, and policy legitimacy, and (5) SMEs & Sustainability emphasizing contextual adaptation, resource constraints, and long-term resilience. The resulting conceptual model highlights that DT success is not solely determined by technology adoption, but by the interaction between governance, capabilities, value orientation, and socio-economic context. This study contributes to the literature by providing an integrative cross-cluster framework and offering implications for management practice and public policy. The findings are expected to serve as a reference for scholars, practitioners, and policymakers in developing inclusive, adaptive, and sustainable DT strategies.
Membangun Taxonomy Riset Big Data Analytics dan Business Intelligence: Systematic Literature Review dalam Konteks Manajemen Informatika Tribuana, Dhimas; Dewi Haryanti Agustan, Andi; Hidayat; Halimah, Endang; Dianah, Koas; Isiswanty
Jurnal Teknologi dan Bisnis Cerdas Vol 1 No 2 (2025): Volume 1 Nomor 2 (September 2025)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v1i2.12

Abstract

Digital transformation has propelled the role of Business Intelligence (BI) from a mere reporting system to a strategic data-driven platform. This study aims to map the state of the art of BI through a Systematic Literature Review (SLR) guided by the PRISMA 2020 framework. A total of 50 scholarly articles published between 2010 and 2025 were systematically analyzed, sourced from both open-access databases and standard repositories (Scopus, Web of Science, Google Scholar, Semantic Scholar, and DOAJ). The analysis produced a taxonomy dividing the literature into five main domains: BI Foundations, Big Data Analytics, Data Governance & Quality, Real-Time & Stream Processing, and BI-AI Integration. The findings indicate that BI research evolves progressively, beginning with conceptual foundations, expanding toward advanced analytic capabilities, reinforcing data governance, accelerating real-time processing, and culminating in integration with Artificial Intelligence (AI) and Generative AI (GenAI). The study offers theoretical implications by providing a comprehensive conceptual framework for BI research, practical implications by guiding organizations in adopting BI-AI technologies effectively, and policy implications by emphasizing the need for adaptive regulation in data governance and AI ethics. Limitations include the restricted publication period and reliance on academic literature. Future research is recommended to incorporate grey literature and empirical case studies to enhance practical relevance.
OPTIMALISASI E-COMMERCE MELALUI TEKNOLOGI WEB MODERN (NEXT.JS, LARAVEL, DSB): SEBUAH TINJAUAN SISTEMATIS LITERATUR (SYSTEMATIC LITERATURE REVIEW) Yusni, Yusni; Supriadi, Supriadi; Revalina, Revalina; Asmarani, Adelia; Nurfadilla, Nurfadilla; 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.v1i3.13

Abstract

This study aims to analyze the application of modern web technologies in optimizing e-commerce systems through a Systematic Literature Review (SLR) approach. The study was conducted to identify trends, advantages, and challenges in using the Next.js and Laravel frameworks to improve performance, security, and user experience. The research method refers to the PRISMA 2020 guidelines, including the identification, screening, and thematic synthesis stages of 20 relevant scientific articles. The results show that Next.js excels in increasing access speed and search engine optimization through Server-Side Rendering and Static Site Generation, while Laravel plays a crucial role in security, database management, and Model–View–Controller (MVC) architecture efficiency. The combination of the two results in a Headless Commerce approach that separates the front-end and back-end, making the system more flexible, secure, and easily integrated with other technologies such as payment gateways, chatbots, and artificial intelligence. In addition, the implementation of a Netfilter-based security system has been proven to prevent more than 80% of network attacks on e-commerce platforms, while the integration of AI chatbots improves customer service efficiency. In conclusion, the implementation of a modern web framework combined with AI technology and adaptive security systems is able to support the development of innovative, efficient, and sustainable e-commerce in the digital era..
IMPLEMENTASI WEB-BASED TRANSPORTATION MANAGEMENT SYSTEM DI INDUSTRI TRANSPORTASI: SEBUAH TINJAUAN SISTEMATIS LITERATUR jusnidar, jusnidar; Riskayanti, Riskayanti; Setiawan, Yudhika; Khomsiah, Kharismatul; Diath Yogmar, Amsar; 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.v1i3.15

Abstract

This systematic literature review examines the implementation of Web-Based Transportation Management Systems (Web-TMS) to identify key technologies, methodologies, and factors influencing operational efficiency in modern transportation industries. The research method refers to the PRISMA 2020-2025 guidelines, including the stages of identification, screening, and thematic synthesis of 20 relevant scientific articles The reviewed literature highlights various modern approaches, including transportation network optimization (Bešinović, 2020), the application of artificial intelligence for mobility planning (Guevara & Cheein, 2020; Humayun et al., 2022), and the integration of big data and predictive models in traffic management systems (Wu et al., 2022; Yang et al., 2020). Several studies also emphasize the importance of real-time monitoring, fleet management, and operational automation to improve service reliability (Gohar & Nencioni, 2021; Skibniewski et al., 2014). Other references focus on sustainability and infrastructure resilience, including energy efficiency and advanced materials in modern transportation systems (Oladimeji et al., 2023; Rudskoy et al., 2021; Heinbach et al., 2022). Overall, this literature review indicates that the implementation of a web-based Transportation Management System is a strategic approach to addressing the increasing complexity of contemporary transportation, as it integrates route optimization, real-time tracking, data-driven analytics, and intelligent decision-making into a single platform. This integration not only enhances operational efficiency but also supports sustainability and digital transformation in the transportation sector.
PENERAPAN TEKNOLOGI WEB DALAM SISTEM PEMESANAN MAKANAN (FOOD ORDER SYSTEM) SYSTEMATIC LITERATURE REVIEW Nurhinaya, Nurhinaya; Dani, Ahmad; Awalya, Nurul; Ulfani, Tri; Musfida, Firdha; 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.v1i3.16

Abstract

The rapid advancement of information and communication technology has transformed service and business systems, including the culinary sector. One notable innovation is the web-based food ordering system, which enables customers to order and pay online without being physically present at the restaurant. This study systematically reviews the implementation of web technologies in food ordering systems using the Systematic Literature Review (SLR) method. Twenty-five scholarly articles published between 2020 and 2025 were analyzed from Google Scholar, IEEE Xplore, and ScienceDirect. The findings indicate that Laravel (PHP), Node.js (JavaScript), and Django (Python) are the most commonly used frameworks. The latest trend involves Progressive Web Apps (PWA) and API integrations with digital payment and order-tracking systems. These implementations enhance operational efficiency, reduce order errors, and increase customer satisfaction. However, challenges remain in data security, system scalability, and user experience. This research concludes that web technology plays a vital role in supporting digital transformation in Indonesia’s culinary industry, especially among MSMEs and university cafeterias.
OPTIMALISASI E-COMMERCE MELALUI TEKNOLOGI WEB MODERN (NEXT.JS, LARAVEL, DSB) SYSTEMATIC LITERATURE REVIEW Pratama, Denis; Umi Kalsum, Andi; Fibrilya Herman, Radika; Fitri, Anisa; Dewi, Kharisma; 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.v1i3.17

Abstract

The development of modern web technologies has become one of the strategic factors in improving the performance and competitiveness of e-commerce platforms in the digital era. This study employs a Systematic Literature Review (SLR) approach based on the PRISMA 2020 guidelines. A total of 20 articles published between 2020 and 2025 were identified as eligible for analysis. This review aims to identify development patterns, key contributions, research gaps, and future research directions related to the optimization of e-commerce using modern web technologies such as Next.js, Laravel, React.js, and Node.js. The synthesis results reveal five major clusters: (1) Performance Optimization & SEO Enhancement, (2) Scalability & System Architecture, (3) User Experience & Interface Design, (4) Security & Data Protection, and (5) Integration & Digital Empowerment for SMEs. The findings emphasize that the success of e-commerce optimization is not solely dependent on the adoption of modern frameworks, but also on the synergistic integration of system architecture, business strategies, and user experience.
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.
PENGGUNAAN TEKNOLOGI WEB UNTUK SISTEM E-LEARNING ADAPTIF DI PENDIDIKAN Sabir, Sardiansyah; Kunia Wahyu, Novita; Nurhalima, Nurhalima; Nurazizah, Nurazizah; Sirfanal Hak, Abdillah; Asbir, Muh. Alfarizi
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.v1i3.20

Abstract

The development of web technology has accelerated the adoption of adaptive e-learning systems; however, existing literature indicates variations in approaches, limited integration of artificial intelligence, and a lack of comprehensive mapping of research trends in this field. This study conducts a Systematic Literature Review of 20 studies published between 2020 and 2025 to identify developments, challenges, and opportunities in web-based adaptive e-learning. The findings reveal that the integration of machine learning, learning analytics, and content personalization techniques is increasingly implemented and has been shown to improve learner engagement and learning outcomes. Nevertheless, many studies still focus primarily on higher education, have not fully optimized real-time analytics, and provide limited discussion on the need for ethical regulation of artificial intelligence. Specifically, this study identifies three major trends: (1) the integration of machine learning with real-time learning analytics, (2) more inclusive adaptive designs addressing diverse learner needs and learning styles, and (3) the growing urgency of ethical AI regulation in education. In addition, this review highlights research gaps in vocational and non-formal education, which remain underexplored. These findings provide directions for future research and recommendations for the development of more effective and sustainable web-based adaptive e-learning systems.
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.
PENERAPAN TEKNOLOGI WEB UNTUK SMART TRANSPORTATION DAN MANAJEMEN ARMADA DI ERA IOT SYSTEMATIC LITERATURE REVIEW 2020–2025 Yusuf, Aril; Afriansa, Muh.; Annisa, Annisa; Serli, Serli; Mutmainna, Wahda; 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.v2i1.22

Abstract

The development of the Internet of Things (IoT) has transformed smart transportation systems and modern fleet management, with web technology serving as the integration platform connecting IoT devices, management systems, and users. This systematic research examines the implementation of web technology for real-time vehicle monitoring, machine learning-based route optimization, predictive maintenance, and analytics dashboards. The system architecture involves four layers: IoT (vehicle sensors), communication (MQTT, REST API, WebSocket), cloud computing (big data processing), and presentation (Progressive Web Apps, React/Vue.js). The system integrates GPS data, telemetry, fuel consumption, driving behavior, and traffic conditions for operational optimization. Research findings show operational efficiency improvements of 30-40%, maintenance cost reduction of 25%, fuel consumption decrease of 15-20%, and incident rate reduction of 35%. Challenges include data security, system interoperability, infrastructure scalability, protocol standardization, and legacy system integration. This research provides reference architecture, technology evaluation framework, best practices, and digital transformation roadmap for various organizational scales and fleet types.

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