Ahmad Syauqi
Universitas Pamulang.

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Empirical Study and Comprehensive Analysis of Customer Satisfaction Regarding Online Shopping Experience Quality Sarwo Eddy Wibowo; Sylvia Kartika Dhamayanti; Obing Zaid Sobir; Dipa Teruna Awaludin; Ahmad Syauqi
Indonesian Journal Economic Review (IJER) Vol. 6 No. 2 (2026): June
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ijer.v6i2.740

Abstract

This study aims to analyze the impact of online shopping experience quality on customer satisfaction among e-commerce users. Data was obtained from 200 respondents through a five-point Likert scale questionnaire and interviews to enrich the explanation of the quantitative results. The instrument was developed through focus group discussions and validated by academics and e-commerce practitioners. The analysis was conducted using SPSS, including validity, reliability tests, and both simple and multiple linear regression. The results indicate that the quality of the online shopping experience significantly affects customer satisfaction, with a coefficient of determination of 0.63. Delivery speed and accuracy emerged as the most dominant factors (β = 0.56; p < 0.001), followed by customer service quality (β = 0.49; p < 0.01), website ease of use (β = 0.42; p < 0.01), and transaction security and payment methods (β = 0.32; p < 0.05). A total of 73% of respondents were satisfied to highly satisfied, with an average score of 4.2 on a 1-5 scale. The findings suggest that logistics performance, customer service responsiveness, interface design, and payment security are the primary factors contributing to customer satisfaction on e-commerce platforms.
Compensation and Motivation as Determinant Bases of Employee Work Productivity Dwiatmodjo Budi Setyarto; Ahmad Syauqi; Aniza Octoviani; Pebrianto; Dipa Teruna Awaludin
Indonesian Journal Economic Review (IJER) Vol. 6 No. 2 (2026): June
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ijer.v6i2.766

Abstract

The purpose of this research was to analyze and examine factors that may influence employee work productivity at CV Klaten Energy. These factors include compensation and motivation. This research employed a quantitative method with regression analysis. Data were collected using an online questionnaire distributed to CV Klaten Energy production employees. The research population consisted of 58 CV Klaten Energy production employees. The sample was saturated/census sampling. Data were analyzed using IBM SPSS version 26 and subjected to several tests, including validity, reliability, classical assumption testing, multiple linear regression analysis, and the coefficient of determination test. The results of this research indicate that compensation and motivation significantly influence employee productivity at CV Klaten Energy. Higher compensation and motivation provided by leaders can increase work productivity.