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All Journal JURNAL PENDIDIKAN KEPERAWATAN INDONESIA Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika
Asthiningsih, Ni Wayan Wiwin
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Computer Science & IT Nursing Public Health

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Journal : Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika

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Performance Assessment of University Lecturers: A Data Mining Approach Milkhatun, Milkhatun; Rizal, Alfi Ari Fakhrur; Asthiningsih, Ni Wayan Wiwin; Latipah, Asslia Johar
Khazanah Informatika Vol. 6 No. 2 October 2020
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/khif.v6i2.9069

Abstract

A lecturer with a good performance has a positive impact on the quality of teaching and learning. The said quality  includes the delivery of teaching materials, learning methods, and ultimately the academic results of students. Performance of lecturers contributes significantly to the quality of research and community service which in turn improves the quality of teaching materials. It is desirable, therefore, to have a method to measure the performance of lecturers in carrying out the Tri Dharma (or the three responsibility) activities, which consist of teaching and learning process, research, and community service activities, including publications at both national and international level. This study seeks to measure the performance of lecturers and cluster them into three categories, namely "satisfactory", "good", and "poor". Data were taken from academic works of nursing study program lecturers in conducting academic activities. Clustering process is carried out using two machine learning approaches, which is K-Means and K-Medoids algorithms. Evaluation of the clustering results suggests that K-Medoids algorithm performs better compared to using K-Means. DBI score for clustering techniques using K-Means is -0.417 while the score for K-Medoids is -0.652. The significant difference in the score shows that K-Medoids algorithm works better in determining the performance of lecturers in carrying out Tri Dharma activities.
Co-Authors Arief Budiman Dwi Rahmah Fitriani Latipah, Asslia Johar Milkhatun, Milkhatun Rizal, Alfi Ari Fakhrur