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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) MIX : Jurnal Ilmiah Manajemen Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Economic, Bussines and Accounting (COSTING) Aptisi Transactions on Management 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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Deteksi Sampah Otomatis Pada Lingkungan Terbuka Menggunakan YOLOV8 Dan Dataset Roboflow Tribuana, Dhimas; Usman, Usman; Dayanti, Dayanti
Jurnal Teknologi dan Bisnis Cerdas Vol 1 No 1 (2025): Volume 1 Nomor 1 (Juni 2025)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v1i1.4

Abstract

Peningkatan volume sampah di ruang publik menuntut solusi cerdas untuk mendeteksi dan mengelola kebersihan secara efisien. Penelitian ini bertujuan untuk mengembangkan sistem deteksi sampah otomatis berbasis model deteksi objek YOLOv8 dengan fokus pada lima kategori sampah: plastik, kertas, logam, kaca, dan lainnya. Dataset diperoleh dari platform Roboflow, kemudian dianotasi secara manual dan digunakan untuk melatih dua varian model YOLOv8, yaitu YOLOv8s dan YOLOv8l. Hasil pelatihan menunjukkan bahwa YOLOv8l mencapai mAP@0.5 sebesar 93,1% dan F1-score 91,1%, sementara YOLOv8s memberikan kecepatan inferensi lebih tinggi dengan akurasi yang kompetitif. Evaluasi lapangan terbatas dilakukan menggunakan kamera laptop dan smartphone di lingkungan terbuka seperti taman dan trotoar. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi sampah secara real-time dengan tingkat akurasi visual yang baik, meskipun terdapat penurunan performa pada objek kecil atau tertutup sebagian. Studi ini menunjukkan potensi besar model YOLOv8 dalam mendukung pengembangan sistem monitoring lingkungan berbasis visi komputer. Ke depan, integrasi ke perangkat edge dan pelatihan ulang dengan data lokal direkomendasikan untuk meningkatkan ketahanan model dalam kondisi nyata.
Penerapan Algoritma XGBoost Untuk Prediksi Kepuasan Pelanggan Pada Layanan E-Commerce: Studi Pada Dataset Transaksi Nyata Tribuana, Dhimas; Baharuddin, Baharuddin; Muhammad Resky, Andi
Jurnal Teknologi dan Bisnis Cerdas Vol 1 No 1 (2025): Volume 1 Nomor 1 (Juni 2025)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v1i1.5

Abstract

Pertumbuhan e-commerce di Indonesia yang pesat memunculkan tantangan baru bagi penyedia layanan untuk menjaga kepuasan pelanggan di tengah kompetisi yang semakin ketat. Penelitian ini bertujuan untuk mengembangkan model prediktif berbasis Extreme Gradient Boosting (XGBoost) dalam memprediksi kepuasan pelanggan e-commerce dengan memanfaatkan dataset nyata berskala besar. Dataset yang digunakan berasal dari Kaggle (E-Commerce Customer Satisfaction) yang mencakup lebih dari 100.000 transaksi dengan atribut seperti harga, biaya pengiriman, waktu pengiriman, serta ulasan pelanggan. Data diproses melalui tahapan pembersihan, encoding, normalisasi, dan feature engineering. Model XGBoost dibandingkan dengan Random Forest dan Logistic Regression untuk mengevaluasi performa prediksi. Hasil eksperimen menunjukkan bahwa XGBoost mencapai akurasi 92,4%, F1-score 90,6%, dan ROC-AUC 0,941, mengungguli kedua model pembanding. Analisis feature importance dan SHAP mengidentifikasi bahwa review score, freight value, dan delivery delay merupakan faktor dominan yang mempengaruhi kepuasan pelanggan. Temuan ini memiliki implikasi praktis bagi pelaku e-commerce untuk mengoptimalkan strategi logistik dan layanan pasca-pembelian dalam meningkatkan pengalaman pelanggan. Penelitian ini juga menekankan pentingnya pemanfaatan machine learning dalam pemantauan kepuasan secara real-time dan memberikan kontribusi bagi literatur ilmu data di bidang e-commerce Indonesia.
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.
Digital Transformation and Psychological Welfare at MNC Bank Makassar Branch Tribuana, Dhimas; Narimawati, Umi; Syafei, M. Yani
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 7 No 2 (2024): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v7i2.4874

Abstract

In the era of digital transformation, the banking industry, particularly in Indonesia, has experienced significant growth, with a 22.13% annual increase in digital transactions. This study investigates the influence of digital transformation on employee psychological well-being, focusing on the MNC Bank Makassar Branch. Using explanatory and quantitative methods, questionnaires were administered to all 37 employees. Results indicate a positive and significant relationship between digital transformation and psychological well-being, explaining 37% of the variance. Overall evaluation yielded excellent results (87%). The study underscores the importance of enhancing technology adoption, digital data exchange, and IT competence to promote employee well-being. Future research should explore additional variables for a comprehensive understanding.
A Multi-Group Structural Analysis of Digital Banking Adoption Determinants Across Generational Cohorts in Indonesia Tribuana, Dhimas; Narimawati, Umi; Syafei, M. Yani
Aptisi Transactions On Technopreneurship (ATT) Vol 8 No 1 (2026): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v8i1.590

Abstract

This study investigates factors affecting Digital Banking Adoption (DBA) across generations in Indonesia, focusing on performance expectancy, effort expectancy, social influence, facilitating conditions, and trust. Employing a cross-sectional design, the study collected data through a structured questionnaire administered to 360 respondents, selected through purposive and clustering sampling, from major cities including Jakarta, Bandung, Surabaya, and others. Structural Equation Modelling (SEM) and Multi-Group Analysis were applied to test hypotheses and assess generational differences in DBA. Findings reveal that performance expectancy, facilitating conditions, and trust significantly influence DBA, with notable differences across generations: Baby Boomers prioritize facilitating conditions, Generation X emphasizes performance expectancy, and Generation Y values both performance and effort expectancy. Generation Z, despite being tech-savvy, benefits from enhanced support structures for improved banking experiences. These results highlight the importance of tailored, generation-specific strategies in digital banking, providing valuable insights for service providers aiming to enhance user experience and adoption across demographic groups.
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.
Co-Authors Abdul Latief Arda Abel, Abel Ahkas, Andi Suciana Ahmad Dani Ahmad, Andani Ahmadi, Muh. Taufiq Alfiansa, Reza Andani Achmad Apriani Sijabat 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 Lukas Umbu Zogara Marzan, Asya Syara Masdar, Imelda Melni, Melni Mide, Baharuddin 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 Sattar, Usman Setiawan, Yudhika Sri Rejeki Sugiarti, Iin Supriadi Supriadi Surahmat, Asep Syafei, M. Yani Syafei, M. Yani Syafei Titih Nursugiharti Ulfani, Tri Umi Kalsum, Andi Umi Narimawati Umiyati, Hesti Usman Usman Very, Eka Dawn Whardani, Kristina Whardani Wijaya, Rizky Charles Wulan Dari, Rika Yunansi Bonsa, Putri Yusni Yusni Yuyun, Yuyun