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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Wahana : Tridarma Perguruan Tinggi TESLA: Jurnal Teknik Elektro Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming bit-Tech JE-Unisla Community Development Journal: Jurnal Pengabdian Masyarakat Best : Journal of Applied Electrical, Science and Technology Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) SinarFe7 Jurnal Pendidikan Progresif
Adi Winarno
Universitas PGRI Adi Buana Surabaya
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mechanical Engineering Nursing Physics Public Health Other

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Handling Imbalanced Fraudulent Transaction Data Using SMOTE-Tomek and Random Forest: A Classification Approach Ilham, Mohamad; Winarno, Adi; Lutfi, Moch; Indrasetianingsih, Artanti
BEST Vol 7 No 1 (2025): BEST
Publisher : Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/best.vol7.no1.10335

Abstract

This research aims to address the class imbalance problem in fraud detection using hybrid resampling techniques, specifically SMOTE-Tomek, combined with Random Forest classifiers. Imbalanced data in fraud detection tasks can severely hinder model performance, resulting in poor detection of minority (fraud) cases. By employing SMOTE to oversample minority class instances and Tomek links to clean the borderline majority class samples, this study evaluates the effectiveness of this hybrid method in improving classification metrics. Using a benchmark credit card fraud dataset, we compare the performance of Random Forest models with and without the hybrid sampling approach. The experimental results show that SMOTE-Tomek significantly enhances recall and F1-score without sacrificing accuracy. This finding underscores the importance of using appropriate resampling strategies for improving model robustness in fraud detection.
The Effect of Resilience and Digital Capabilities on Students’ Adaptability to Change Moderated by Organizational Learning Hartanti, Jahju; Winarno, Adi; Prayogo, Prayogo; Charamba, Erasmos
Jurnal Pendidikan Progresif Vol 14, No 3 (2024): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

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Abstract

Exploring Moderating Role of Organizational Learning in Enhancing Adaptability to Change Through Resilience and Digital Capabilities. Objective: To determine the effect of final year student resilience and digital capabilities on adaptability to change for technology advancement which is moderated by organizational learning. Method: This research was done using a quantitative approach with a survey method. The study population were final-year students from various faculties at a public university, the sample tehnique was random sampling and the number of selected samples was 300 respondents. Questionnaires were used to collect data from research participants. The data were analyzed using moderate regression analysis (MRA) using SPSS. Findings: Resilience has a positive and significant effect on adaptability to change, digital capabilities have a positive and significant effect on adaptability to change. Organizational learning moderates the influence of resilience on adaptability to change. Furthermore, the organizational learning also moderates the effect of digital capabilities on adaptability to change. Conclusion: These findings imply that HEI prioritize programs that bolster students' resilience and digital skills to improve adaptability to change. Organizational learning should be recognized as a key factor that strengthens the impact of resilience and digital skills on adaptability Keywords: adaptability to change, digital capability, higher education institution, organizational learning, resilience.DOI: http://dx.doi.org/10.23960/jpp.v14.i3.2024108
Co-Authors Aditya Ilham Aini, Rasyida Shabihah Zukro Akbar Sujiwa Akhmad Solikin Atmiasri Awang Joko Mastera Charamba, Erasmos Dimas Ricky Saputra Erasmos Charamba Fara Ayu Pratiwi Indrasetianingsih, Artanti Jahju Hartanti Lutfi, Moch Mahfud Affandi Misbahuddin, Agus Ridwan Mochamad Kevin Nurcahyo Mohamad Ilham Mohamad Ilham Muchammad Lukman Fauszan lukman Muhamad Anang Sucipto Muhammad Risyaf Raynaldi Muhammad Thoyibin Mulianto, Moch Amin Fajar Nur Faizim Prayogo Prayogo Prayogo, Prayogo Rahmat Hanif Darmawan Rifki Ardi Nawan Risyaf, Muhammad Sagita Rochman Solikin, Akhmad Tania Eka Safitri Widodo Widodo Wildan Surya Wijaya Winarno F. Bastari Yunia Dwie Nurchayanie Zamir Irtany, Farrosy