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E-Commerce Trend: Analysis of Student Online Shopping Activities Majid, Basrul Abdul; Sofyan, Zuhra
Journal of Economics Education and Entrepreneurship Vol 4, No 2 (2023): JEE, October 2023
Publisher : Program Studi Pendidikan Ekonomi FKIP Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jee.v4i2.7758

Abstract

This study aims to analyze the specialization of online shopping for college students using descriptive analysis techniques. The sample used is 195 respondents using the total sampling technique. The student learned many things about economics and business. With e-commerce, this should be an opportunity to apply what has been learned in practice. These students can start by opening an online business. But they prefer to use e-commerce to buy specific items rather than sell products. The results showed that the categorization of student specialization (1) based on the device used to access e-commerce applications was a smartphone (android) as much as 84.10%; (2) by product category is fashion 45.64%; (3) the intensity of shopping frequency not less than three times a month is 51.79%; (4) based on the monthly budget in online shopping is less than one hundred thousand rupiahs is as much as 56.92%; (5) frequently used application is Shopee 72.31%, and (6) payment transaction system using Cash on Delivery (COD) as much as 72.31%.
Data Analytics–Based Evaluation of Student Perceptions of Learning Quality in Islamic Higher Education Majid, Basrul Abdul; Husni, Husni; Misbullah, Alim; Hisam, Muhammad Aizal Hanafi Bin Fazli
Itqan: Jurnal Ilmu-ilmu Kependidikan Vol. 16 No. 2 (2025): ITQAN: Jurnal Ilmu-ilmu Kependidikan
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan (FTIK) IAIN Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47766/itqan.v16i2.6305

Abstract

This study employs an integrated data analytics approach to examine student perceptions of learning quality at the Faculty of Islamic Economics and Business (FEBI), IAIN Lhokseumawe. The analytical framework combines descriptive statistics, K-Means clustering, and multiple linear regression to provide a comprehensive evaluation of instructional quality. Data were collected from 805 active undergraduate students using a structured questionnaire measuring nine learning quality indicators related to instructional delivery, lecturer competence, communication, assessment practices, and institutional compliance. The findings indicate that students generally perceive the quality of learning positively, with an overall mean score of 4.32 on a five-point Likert scale. Lecturer’s Mastery of Material and Accuracy in Answering Questions emerged as the highest-rated indicators, while Material Suitability with the Semester Learning Plan (RPS) and Transparency of Assessment Criteria received comparatively lower scores. Regression results show that instructional quality indicators significantly influence overall student satisfaction, with assessment transparency as the strongest predictor and material suitability with the RPS as the weakest.  These results highlight the importance of transparent assessment practices and consistent alignment between instructional materials and the RPS in shaping students’ learning experiences, enhancing student trust, reducing uncertainty, and sustaining educational quality in Islamic higher education.