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Pengaruh Literasi Digital dan User Interface Terhadap Keputusan Pembelian dengan Perceive Ease of Use Sebagai Variabel Intervening pada Pengguna Acces By Kai Generasi Milenial dan Z di Kabupaten Pasuruan Sinta Hardianti; Kholid Murtadlo
MES Management Journal Vol. 4 No. 2 (2025): MES Management Journal
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mesman.v3i4.507

Abstract

This study aims to determine the optimal digital literacy possessed by Acces by KAI users and the user interface on train ticket purchase decisions with perceived ease of use as an intervening variable for Millennial and Z Generation Acces by KAI Users in Pasuruan Regency. The sampling technique used is a non-probability sampling method with a puposive sampling sub-technique with a total of 96 respondents. respondents obtained from online questionnaires covering respondents in Pasuruan Regency. This research method uses quantitative methods by analyzing data using descriptive analysis techniques and Path Analysis tests with the help of SPSS version 22. From the results of the study it can be concluded that from the results of the t test, Digital Literacy has a positive and significant effect on Perceive Ease Of Use, User Interface has a positive and significant effect on Perceive Ease Of Use, Digital Literacy has a positive and significant effect on Purchasing Decisions, User Interface has no effect on Purchasing Decisions, Perceive Ease Of Use has a positive and significant effect on Purchasing Decisions. Based on the Sobel Test, Digital Literacy affects Purchasing Decisions through Perceive Ease Of Use as an intervening variable, User Interface affects Purchasing Decisions through Perceive Ease Of Use as an intervening variable.
Comparison of K-Means and K-Medoids Methods in Clustering Stress Levels of 6th Semester Students Nuraini, Roswanda; Sinta Hardianti; Elkin Rivalni
Engineering: Journal of Mechatronics and Education Vol. 2 No. 1 (2025): Engineering: Journal of Mechatronics and Education
Publisher : Yayasan Insan Mulia Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59923/mechatronics.v2i1.517

Abstract

Final-year students often experience high psychological pressure due to academic demands such as thesis completion, final exams, and career uncertainty. This stress can negatively affect their academic performance and overall mental health. This study aims to compare the performance of two clustering methods, K-Means and K-Medoids, in grouping stress levels among sixth-semester students. The comparison is based on three key parameters: accuracy, consistency, and computational speed. Data were collected using psychological questionnaires reflecting students’ stress symptoms and analyzed using both clustering techniques. Preliminary results indicate that K-Medoids outperforms K-Means in terms of accuracy and result stability, particularly when dealing with datasets containing outliers, while K-Means is more efficient in processing large-scale data. These findings are expected to serve as a reference for educational institutions in developing early stress detection systems based on data mining to enhance more targeted psychological support services.