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All Journal Jurnal Teknik Informatika (JUTIF) Tsaqofah: Jurnal Penelitian Guru Indonesia
Muhamad Fadel
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Computer Science & IT Education

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APPLICATION OF MACHINE LEARNING IN PREDICTING EMPLOYEE DISCIPLINE VIOLATIONS IN FINANCIAL SERVICE COMPANY Muhamad Fadel; Kanasfi, Kanasfi; Wibowo, Arief
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 1 (2024): JUTIF Volume 5, Number 1, February 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.1.1229

Abstract

Employee compliance is a commitment to comply with regulations and stay away from matters that are prohibited in the laws and or company regulations which if not obeyed, then employees are given disciplinary sanctions. Employee discipline is an obligation and willingness of employees in obeying all existing rules in a company to achieve its vision and mission, a high-level employee disciplinary violation rate of 38% at PT. HCI who are engaged in financial service sector can have a negative impact on a company's reputation, meanwhile a low level of employee disciplinary violations in a company can have a positive impact on the company's reputation.This paper aims to predict the possibility of employees committing discipline violations and evaluating the performance of accuracy by using Machine Learning Random Forest, Decision Tree, and Naive Bayes techniques. The test results prove that the Machine Learning Random Forest technique is the best model with the highest value in terms of accuracy with a value of 87.30%, while the Machine Learning Decision Tree and Naive Bayes technique has a value of 83.28%and 70.27% respectively, the value from each of the Machine Learning techniques, the comparison was made using majority voting techniques, so as to produce a total accuracy value of 85.31%.With this high accuracy value, the Random Forest model is proven to have better performance individually in analyzing the prediction of disciplinary violations in the application of human resources at company, while the total accuracy value uses a majority voting model of 85.31%, slightly decreased due to the high level of accuracy of the Naïve Bayes model compared to other algorithm models.
Pengaruh Persepsi Mahasiswa tentang Profesi Guru terhadap Minat menjadi Guru pada Mahasiswa Pendidikan Teknik Mesin Universitas Negeri Padang Muhamad Fadel; Jasman Jasman; Eko Indrawan; Budi Syahri
TSAQOFAH Vol 6 No 4 (2026): JULI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/tsaqofah.v6i4.11048

Abstract

Although the teaching profession has a strategic role in ensuring the quality of vocational education, not all students in education study programs show a strong interest in pursuing a career as teachers. This study aims to analyze the effect of students’ perceptions of the teaching profession on interest in becoming teachers among students of the Mechanical Engineering Education Study Program at Universitas Negeri Padang. This study used a quantitative approach with an associative ex post facto design. The population as well as the research sample consisted of 72 students from the 2022 cohort, determined through a total sampling technique. Data were collected using a four-point Likert-scale questionnaire distributed through Google Forms. The research instrument consisted of 35 valid items with a Cronbach’s Alpha reliability coefficient of 0.949. Data were analyzed using descriptive statistics, normality testing, linearity testing, and simple linear regression with the assistance of SPSS. The results showed that students’ perceptions of the teaching profession were in the good category, with the largest percentage of 36%, while interest in becoming teachers was also in the good category, with the largest percentage of 44%. The regression analysis produced the equation Y = 10.348 + 0.448X, while the t-test obtained a value of 4.718 with a significance of 0.000 < 0.05. These findings indicate that students’ perceptions of the teaching profession have a positive and significant effect on interest in becoming teachers. The conclusion of this study affirms that the more positive students’ perceptions of the teaching profession, the higher their interest in choosing a teaching career. The implications of this study emphasize the importance of strengthening understanding, experience, and a positive image of the teaching profession in vocational education programs so that students’ interest in becoming teachers can develop more optimally.
Co-Authors Arief Wibowo Budi Syahri Eko Indrawan Jasman Jasman Kanasfi, Kanasfi