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All Journal Jurnal Wilayah, Kota dan Lingkungan Berkelanjutan Repeater: Publikasi Teknik Informatika dan Jaringan
Reyhand Ardhitha
Unknown Affiliation
Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Transportation

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Analisis Penerapan Machine Learning dan Algoritma Anomali untuk Deteksi Penipuan pada Transaksi Digital Reyhand Ardhitha; Revifal Anugerah; Tata Sutabri
Repeater : Publikasi Teknik Informatika dan Jaringan Vol. 3 No. 1 (2025): Januari: Repeater : Publikasi Teknik Informatika dan Jaringan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/repeater.v3i1.345

Abstract

Fraud in digital transactions has become a serious issue threatening the security and integrity of the fintech and e-commerce sectors. To address this problem, machine learning technology has emerged as an effective solution for automatically detecting anomalies and fraudulent transactions. This study aims to analyze the application of machine learning algorithms, specifically Support Vector Machine (SVM), Random Forest, and Ensemble Learning, in detecting fraud in digital transactions. The research adopts a quantitative approach with experimentation, testing the effectiveness of the three algorithms using a digital transaction dataset consisting of both fraudulent and non-fraudulent transactions. The results show that the Random Forest algorithm performs the best in terms of accuracy and recall, followed by Ensemble Learning, which enhances fraud detection performance by combining multiple prediction models. Meanwhile, SVM demonstrates satisfactory performance but is prone to overfitting issues when handling large and complex datasets. The study also finds that the problem of imbalanced data can affect model accuracy, and data balancing techniques such as oversampling are required to improve fraud detection performance. Overall, the findings suggest that machine learning, particularly Random Forest and Ensemble Learning algorithms, can be relied upon to improve fraud detection in digital transactions. However, challenges such as model interpretability and the need for periodic algorithm updates still need to be addressed to enhance the effectiveness of fraud prevention systems in countering the ever-evolving nature of fraud.
Teknologi Pintar dalam Mewujudkan Kota Berkelanjutan Reyhand Ardhitha; Tata sutabri
JURNAL WILAYAH, KOTA DAN LINGKUNGAN BERKELANJUTAN Vol. 3 No. 2 (2024): JURNAL WILAYAH, KOTA DAN LINGKUNGAN BERKELANJUTAN
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/jwikal.v3i2.633

Abstract

This study aims to analyze the role of smart technology in achieving sustainable cities through the implementation of the smart city concept. Using a qualitative approach based on library research, the study explores the relationship between smart technology and urban sustainability, encompassing three main pillars: governance, energy efficiency and environmental management, and social inclusivity. The findings reveal that smart technology enhances transparency and efficiency in governance through e-governance and digital applications, fosters multi-stakeholder collaboration via collaborative governance, and improves government responsiveness to public needs. In the environmental aspect, the implementation of smart technologies such as smart grids and smart sensors significantly contributes to more efficient energy management and carbon emission reductions. Moreover, technology-based waste management demonstrates great potential in supporting urban environmental sustainability. On the social dimension, smart technology must ensure inclusivity by addressing vulnerable groups and bridging the digital divide, where digital literacy and community empowerment play a crucial role in creating sustainable social impacts. However, implementation challenges such as infrastructure gaps, limited budgets, and human resource readiness remain barriers that need to be addressed. This study highlights the importance of integrative and collaborative approaches in smart city implementation, alongside strong strategic policy support to maximize the potential of smart technologies in achieving sustainable development. With the right approach, smart cities can serve as a strategic solution to urbanization complexities and improve the quality of life for future generations.
Co-Authors Revifal Anugerah Tata Sutabri