Hikma Wati, Muhammad Yusuf Mappeasse, Zulhajji Zulhajji

Analysis of the Level of Satisfaction of Electrical Engineering Education (PTE) FT-UNM Students in the Use of the Single Academic Service System (My-Sams) Application

Introduction

Analysis of the level of satisfaction of electrical engineering education (pte) ft-unm students in the use of the single academic service system (my-sams) application. Evaluates Electrical Engineering Education students' satisfaction with the My-SAMS academic system at UNM. Finds moderate satisfaction but highlights issues with data accuracy and synchronization, recommending system improvements.

Abstract

This study evaluates the satisfaction level of students in the Electrical Engineering Education Department, Faculty of Engineering, Makassar State University (PTE FT UNM) in using the My-SAMS (My Single Academic Management System) application based on the End User Computing Satisfaction (EUCS) model, which measures satisfaction through content, accuracy, format, ease of use, and timeliness. Using a quantitative ex post facto design, data were collected from 136 students (2018–2023 cohorts) through a 20-item Likert-scale questionnaire. The research instruments were tested for validity using the product-moment correlation and for reliability using Cronbach’s Alpha, both showing acceptable results. Data analysis employed descriptive statistics using SPSS 23 and Excel 2021 to identify satisfaction patterns. The findings showed that students were moderately satisfied with content (45%), format (54%), ease of use (57%), and timeliness (46%), while the accuracy dimension was rated dissatisfied (33%). These results suggest that while My-SAMS is user-friendly, issues remain regarding data accuracy and synchronization. It is recommended that system developers enhance data validation and integration processes and provide continuous operator training to ensure data consistency. In conclusion, the study emphasizes that My-SAMS has achieved moderate success in meeting user expectations but requires further improvements in information accuracy and reliability to strengthen trust and system performance. The findings are expected to serve as a reference for improving academic digital services and as a foundation for further research on user satisfaction in academic information systems.

Review

This study offers a timely and relevant evaluation of student satisfaction with the My-SAMS (My Single Academic Management System) application among Electrical Engineering Education students at Makassar State University. Employing the well-established End User Computing Satisfaction (EUCS) model, the research systematically assesses satisfaction across five key dimensions: content, accuracy, format, ease of use, and timeliness. The quantitative ex post facto design, utilizing a sufficiently sized sample of 136 students and rigorously validated instruments, provides a robust methodological framework for understanding user perceptions of this critical academic service. The clear objective of improving digital academic services underscores the practical significance of this investigation. The findings reveal a nuanced picture of student satisfaction. While students reported moderate satisfaction with content, format, ease of use, and timeliness, a significant area of concern emerged regarding data accuracy, where a substantial portion of students expressed dissatisfaction. This discrepancy is a critical insight, suggesting that despite the system's user-friendly interface and accessibility, issues with data validation, integration, and synchronization are undermining overall user trust and performance. The concrete recommendations for system developers—focusing on enhancing data validation, improving integration processes, and providing continuous operator training—are highly actionable and directly address the identified weaknesses, pointing towards practical avenues for system improvement. Overall, the study makes a valuable contribution by providing a data-driven assessment that can directly inform the enhancement of the My-SAMS application and similar academic information systems. Its strengths lie in its clear methodology, systematic application of a relevant theoretical model, and the generation of specific, actionable recommendations. While the quantitative approach effectively measures *what* the satisfaction levels are, future research could benefit from incorporating qualitative methods to delve deeper into *why* specific issues, particularly concerning accuracy, persist from the students' perspective. Nevertheless, this paper serves as an excellent reference for improving academic digital services and lays a solid foundation for further investigations into user satisfaction and system optimization in higher education contexts.

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