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All Journal Scientific Journal of Informatics JAR'S (Journal of Advanced Research in Informatics)
Arifin, Nur Hatima Inda
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Computer Science & IT

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Journal : JAR'S (Journal of Advanced Research in Informatics)

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Penerapan Algoritma K-Means Untuk Clustering Penilaian Layanan Berdasarkan Indeks Kepuasan Mahasiswa Universitas Nurul Jadid Nadiyah, Nadiyah; Arifin, Nur Hatima Inda; Karim, Abdul
Journal of Advanced Research in Informatics Vol 2 No 2 (2024): Journal of Advanced Research in Informatics
Publisher : Fakultas Teknik, Universitas Wiraraja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24929/jars.v2i2.3431

Abstract

Student Satisfaction Index has a very important role in the university environment as it is closely related to the accreditation assessment process. In this context, Nurul Jadid University faces shortcomings in calculating student satisfaction, which has the potential to disrupt the efficiency of time use and have an overall negative impact. As a solution, this research aims to cluster student answers using the K-Means algorithm implemented through the Streamlit web platform with the Python programming language. The results showed that this approach was able to produce excellent clustering, with an accuracy rate of 97%. The main objective of this research is to improve efficiency in the process of measuring student satisfaction levels, with the hope of making a significant contribution to improving the quality of university services and the process of evaluating university accreditation more efficiently. As such, this research has important implications in improving the overall performance of the university in the face of challenges.
Co-Authors Abdul Karim Andayani, Sri Astutik Nadiyah Nadiyah Syafiih, M