Student Feedback Systems: Developing a Web-Based Solution for Efficient Complaint Processing at Faculty of Information Technology Tarumanagara University

The collection of student feedback, encompassing aspirations, and complaints, serves as a cornerstone in improving the quality of education and fostering institutional responsiveness in higher education. However, many universities, including Tarumanagara University, especially the Faculty of Information Technology still rely on manual processes for submitting these concerns, necessitating face-to-face interactions with faculty administrative personnel. This traditional approach often results in inefficiencies, including delayed responses and difficulty tracking complaints. This research addresses these issues by proposing the development of a web-based application designed to centralize and streamline the processing of student complaints and aspirations. Utilizing the waterfall model as the development methodology, the application is developed using ASP.NET with C# and SQL Server to ensure robust performance and data management. The outcomes of this initiative demonstrate significant improvements in both time efficiency and resource allocation for handling student feedback within the Faculty of Information Technology at Tarumanagara University. By implementing this web-based solution, the faculty aims to foster a more effective and responsive feedback mechanism that enhances student engagement and satisfaction.

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Publication Details

Journal
Internet of Things and Artificial Intelligence Journal
Published
2024-11-28
DOI
https://doi.org/10.31763/iota.v4i4.834
Citations
1
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.53
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article

Student Feedback Systems: Developing a Web-Based Solution for Efficient Complaint Processing at Faculty of Information Technology Tarumanagara University

Teny Handhayani, Novario Jaya Perdana, Owen Maytrio Phratama
1 citations
Internet of Things and Artificial Intelligence Journal
Big Data and Business Intelligence
0.53
article

Student Feedback Systems: Developing a Web-Based Solution for Efficient Complaint Processing at Faculty of Information Technology Tarumanagara University

Teny Handhayani, Novario Jaya Perdana, Owen Maytrio Phratama
article en
1 citations

Abstract

The collection of student feedback, encompassing aspirations, and complaints, serves as a cornerstone in improving the quality of education and fostering institutional responsiveness in higher education. However, many universities, including Tarumanagara University, especially the Faculty of Information Technology still rely on manual processes for submitting these concerns, necessitating face-to-face interactions with faculty administrative personnel. This traditional approach often results in inefficiencies, including delayed responses and difficulty tracking complaints. This research addresses these issues by proposing the development of a web-based application designed to centralize and streamline the processing of student complaints and aspirations. Utilizing the waterfall model as the development methodology, the application is developed using ASP.NET with C# and SQL Server to ensure robust performance and data management. The outcomes of this initiative demonstrate significant improvements in both time efficiency and resource allocation for handling student feedback within the Faculty of Information Technology at Tarumanagara University. By implementing this web-based solution, the faculty aims to foster a more effective and responsive feedback mechanism that enhances student engagement and satisfaction.

Internet of Things and Artificial Intelligence JournalVol. 4(4)
Tarumanagara University (ID)
Openalex Percentile: Top 23%
Big Data and Business Intelligence
0.53
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Student Feedback Systems: Developing a Web-Based Solution for Efficient Complaint Processing at Faculty of Information Technology Tarumanagara University — Teny Handhayani, Novario Jaya Perdana, et al. · Internet of Things and Artificial Intelligence Journal (2024) | TGRS Research Map | TGRS