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All Journal Emerging Information Science and Technology Universal Journal of Science and Technology
Irawan, Ricki
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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The Influence of Transformational Leadership and Work Environment on Employee Productivity in the No Sew Department at PT Adis Dimension Footwear in Tangerang Regency Irawan, Ricki; Sudinta, Heru; Setiawan, Temmy
UJoST- Universal Journal of Science and Technology Vol. 5 No. 2 (2026): October 2026
Publisher : Faculty of Science and Technology University of Pramita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11111/ujost.v5i2.212

Abstract

This study aims to determine the simultaneous influence of transformational leadership and the work environment on the work productivity of employees in the No-Sew department at PT Adis Dimension Footwear, Balaraja, Tangerang.This study used a quantitative descriptive method, which describes variables as they are, supported by numerical data derived from actual conditions. The population in this study was all No-Sew employees at PT Adis Dimension Footwear, Balaraja, Tangerang. The sample size was 70 respondents. This study used a saturated sampling technique due to the small population size. Data collection techniques used were observation, questionnaires, and documentation. Data analysis used multiple linear regression analysis with SPSS 26. Data validity was obtained through a partial t-test and a simultaneous F-test.The results of this study indicate that (1) transformational leadership has a significant partial t-test effect on the work productivity of employees in the No-Sew department at PT. Adis Dimension Footwear Balaraja-Tangerang, which is indicated by the calculated t value> t table (5.426>1.996) and a significance value of 0.000 smaller than the significance value of 0.05. Thus Ha is accepted and H0 is rejected. (2) Partially, the work environment significantly influences the work productivity of No Sew employees at PT. Adis Dimension Footwear Balaraja-Tangerang, which is indicated by the calculated t value> t table (2.121>1.996) and a significance value of 0.000 smaller than the significance value of 0.05. Thus Ha is accepted and H0 is rejected. (3) Simultaneously, transformational leadership and the work environment significantly influence the performance of No Sew employees at PT. Adis Dimension Footwear Balaraja-Tangerang, which is indicated by F count> F table (58.705>3.13) with a significance level of 0.000. Thus Ha is accepted and H0 is rejected. Based on the research results, it can be concluded that transformational leadership and work environment variables, either partially or simultaneously, have a significant influence on the work productivity of No Sew employees at PT. Adis Dimension Footwear Balaraja-Tangerang.
Classification of Student Understanding on Covid-19 Booster Vaccine Using Machine Learning Damarjati, Cahya; Riyadi, Slamet; Irawan, Ricki
Emerging Information Science and Technology Vol. 3 No. 2 (2022): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v3i2.18680

Abstract

The outbreak of COVID-19 has been declared a global pandemic by the World Health Organization (WHO). Developing a vaccine is one of the best ways to reduce the virus's impact. Nevertheless, the development of virus mutations produces new variants that diminish the efficacy of the previous vaccine. Booster doses of the Covid-19 vaccine is still a matter of debate among the public, particularly among students, as evidenced by the low rate of booster vaccinations in the community, which is a result of a lack of knowledge about booster vaccines. The purpose of this study is to assess the level of understanding among Universitas Muhammadiyah Yogyakarta (UMY) students regarding booster vaccinations, with the results subsequently serving as a factor or strategy for future government booster vaccination policy decisions. ANN and SVM algorithms could be used to predict the level of understanding of booster vaccinations among UMY students. However, the maximum level of precision in classifying the level of comprehension is not yet known. To determine which of the two methods, kernel and k-fold, provided the maximum level of accuracy, a comparative study was conducted between them. The research was conducted by disseminating questionnaires containing assessments of booster vaccinations to a total of 2095 respondents. Using randomized sampling type, this study yielded an accuracy of 88.45% for the ANN method and 89.93% for the SVM method in each scenario. In addition, the authors conduct feature efficiency, which aims to reduce the time and cost associated with data computation.
Co-Authors Cahya Damarjati Slamet Riyadi Sudinta, Heru Temmy Setiawan, Temmy