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Rafi Zulhendri
Universitas Islam Negeri Sjech M.Djamil Djambek Bukittinggi

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Integrasi Google Apps Script Sistem Survei Kepuasan Prodi Statistika UIN Sjech M. Djamil Djambek Bukittinggi Rafi Zulhendri; Riri Okra
TadrisReach: Journal of Educational Service Vol. 2 No. 1 (2026): Maret 2026
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan - UIN Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/tadrisreach.v2i1.1898

Abstract

Stakeholder satisfaction surveys are an important component of internal quality audits and study program accreditation because they provide empirical data on users’ perceptions of academic services. In practice, manual survey implementation often creates problems in instrument distribution, response recapitulation, index calculation, and report presentation, making the quality evaluation process slow and less efficient. Several previous studies have shown that web-based surveys and the use of Google Forms/Google Apps can accelerate data collection, facilitate analysis, and support administrative activities in higher education. Based on these needs, this study aims to design and develop a web-based satisfaction survey information system integrated with the official website of the Mathematics Study Program, Faculty of Science and Technology, UIN Sjech M. Djamil Djambek Bukittinggi. This study employs a software engineering approach using the prototyping model through the stages of reference system analysis, design, implementation, and testing. The system was developed using three main components: Google Sheets as the database, Google Apps Script as the logic engine and web application provider, and Blogger as the interface integrated into the study program website. The survey instrument was developed based on nine evaluation criteria of IAPS 4.0 issued by BAN-PT and employed three types of questions: Likert-scale, yes/no, and open-ended questions. The system is equipped with a dashboard that presents satisfaction indices for each respondent group, radar and bar charts across criteria, achievement ratings, and gaps against quality targets. Initial testing results show that the system is capable of recording, processing, and displaying data automatically and more quickly than manual recapitulation, indicating its potential as a data-driven decision-making support tool for study program management.