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All Journal Jurnal Teknik Industri Terintegrasi (JUTIN) Innovative: Journal Of Social Science Research
Sembodo, Giry
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Other

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Application of Binary Logistic Regression Method Using Python to Analyze the Effect of Ease of Use, Administrative Costs and Preferences on the Probability of Student Decisions Choosing Payment Channels for Course Registration Using Bank Mandiri Suryani, Rahmah; Praditya, Rizqy Gumilar; Sembodo, Giry; Heikal, Jerry
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.15679

Abstract

This study analyzes the factors that influence Open University students' decision to choose Bank Mandiri payment channel for course registration. Using binary logistic regression method with Python, this study explores the influence of ease of use, administrative costs, and student preference on the probability of choosing Bank Mandiri. Data from 200 students were analyzed using variables such as age, gender, ease of use of mobile banking application, transaction fees, and student preference. Model evaluation using confusion matrix and ROC curve showed good performance with Area Under the Curve (AUC) 0.84. This study revealed that factors such as ease of use and transaction fees strongly influence students' decisions in choosing payment channels. The results show that the model has 78% accuracy with three significant variables with values below 5%: ease of use, transaction costs, and student preferences. Evaluation using ROC curves showed good model performance with an AUC of 0.84. This research aims to improve UT and Bank Mandiri payment services and provide insight into the adoption of financial technology in the education sector.
Analysis of disruption factors at PT PLN Indonesia Power PLTU Banten 2 Labuan PGU using a grounded theory approach and pareto analysis of lean kaizen Sembodo, Giry; Praditya, Rizqy Gumilar; Sari, Nimas Indah Fatimah; Heikal, Jerry
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 4 (2024): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i4.36201

Abstract

The reliable and efficient availability of electricity is a crucial factor in economic and social development. PT PLN (Persero), through its subsidiary PT PLN Indonesia Power, is responsible for providing electricity, including operating the 2x300 MW Banten 2 Labuan coal-fired power plant. However, in 2022, the Banten 2 Labuan plant experienced 28 disruptions, leading to a decrease in production capacity from 4,838.4 GWH to 4,259.716 GWH per year. This study aimed to identify the factors causing these disruptions and the decline in electricity production capacity. A qualitative approach using the Grounded Theory method was employed, involving in-depth interviews with the Assistant Manager of Operation Planning and Control, the Assistant Manager of Maintenance Planning and Control, and the Assistant Manager of Public Relations and CSR of the Banten 2 Labuan plant, as well as field observations and document studies. Through open coding, axial coding, and selective coding, three themes emerged as causes of disruption: internal factors (frequency 14), external factors (frequency 9), and force majeure (frequency 4). Pareto analysis revealed internal factors as the most dominant, contributing to 51.9% of the disruptions, with equipment failure (frequency 11) being the most significant internal factor, contributing 40.7% to the total disruptions. Consequently, optimization of maintenance strategies, improvement of human resource competencies, and the application of Lean Manufacturing principles, including Predictive Maintenance, Preventive Maintenance, Corrective Maintenance, and Breakdown Maintenance within the framework of Reliability Engineering and Maintenance Management, are necessary to enhance the operational reliability of the Banten 2 Labuan power plant.
Co-Authors Heikal, Jerry Praditya, Rizqy Gumilar Sari, Nimas Indah Fatimah Suryani, Rahmah