Application of K-Means Clustering on the Performance Evaluation of Lecturers Based on Student Questionnaire Application of K-Means Clustering on the Performance Evaluation of Lecturers Based on Student Questionnaire
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Abstract
In the world of lectures or universities, conducting performance appraisals needs to be applied to assess the performance of lecturers. The basis used in the assessment uses the basic tri dharma of tertiary institutions. In assessing performance, data is needed related to student satisfaction with the lecturer. The data used in this study are 152 National University student satisfaction data for all lecturers of the Faculty of Communication and Information Technology at the National University, amounting to 28 lecturers. In collecting data using a questionnaire available on the National University Lecture website. There are 10 questions that need to be filled out by all active students in the 2016/2017 school year odd and even semester. Data will be processed by clustering the performance of lecturers in the cluster is good, good enough or less.
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[2] Hambali, H. A., Abdullah, S., Lailee, S., Jamil, N., & Harun, H. (2016). Intelligent segmentation of fruit images using an integrated thresholding and adaptive K-means method (TsNKM). Jurnal Teknologi, 78(6-5), 13-20.
[3] Hidayatullah, K. H. (2014). Analisis Klaster Untuk Pengelompokan Kabupaten/Kota di Provinsi Jawa Tengah Berdasarkan Indikator Kesejahteraan Rakyat. Jurnal Statistika Universitas Muhammadiyah Semarang, 2(1).
[4] Nurzahputra, A., Muslim, M. A., & Khusniati, M. (2017). Penerapan Algoritma K-Means Untuk Clustering Penilaian Dosen Berdasarkan Indeks Kepuasan Mahasiswa. Techno. Com, 16(1), 17-24.
[5] Purba, W., Tamba, S., & Saragih, J. (2018, April). The effect of mining data k-means clustering toward students profile model drop out potential. In Journal of Physics: Conference Series (Vol. 1007, No. 1, p. 012049). IOP Publishing.
[6] Ramdhani, F., Hoyyi, A., & Mukid, M. A. (2015). Pengelompokan Provinsi di Indonesia berdasarkan Karakteristik Kesejahteraan Rakyat menggunakan Metode K-Means Cluster. Jurnal Gaussian, 4(4), 875-884.
[7] Santoso, B., Cholissodin, I., & Setiawan, B. D. (2017). Optimasi K-Means untuk Clustering Kinerja Akademik Dosen Menggunakan Algoritme Genetika. Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer e-ISSN, 2548, 964X.
[8] Sonang, S. (2018). IMPLEMENTASI K-MEANS DALAM EVALUASI KINERJA DOSEN POLITEKNIK BISNIS INDONESIA. Jurnal Teknik Informasi dan Komputer (Tekinkom), 1(1), 32-40.
[9] Triayudi, A., & Nathasia, N. D. (2020). Analysis of Factors Affecting Student Graduation Using the K-Means clustering Method. Jurnal Mantik, 3(4, Feb), 135-143.
[10] Tüzüner, V. L., & Yüksel, C. A. (2009). Segmenting potential employees according to firm’s employer attractiveness dimensions in the employer branding concept. Journal of Academic Research in Economics, 1(1), 46-61.
[11] Wahyudi, E. N., & Jananto, A. (2013). Final Report Penilaian Kinerja Dosen oleh Mahasiswa pada Satu Periode Tahun Akademik menggunakan Teknik Klustering (Studi Kasus: Universitas Stikubank Semarang). Dinamik, 18(2).
Ndruru, T., & Riandari, F. (2019). Decision Support System Feasibility Lending At KSU Mitra Karya Cooperative Customer Unit XXVIII with Analytical Hierarchy Process Method. Jurnal Mantik, 3(3, Nov), 119-125. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/335
Sibagariang, R., & Riandari, F. (2019). Decision Support System for Determining the Best Wood For the Production Cabinet Using Bayes Method. Jurnal Mantik, 3(3, Nov), 99-103. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/327
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Ridandari, F., & Panjaitan, A. (2019). Expert System to Diagnose Extra Lung Tuberculosis Using Bayes Theorem. Jurnal Mantik, 3(3, Nov), 34-39. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/285
Situmorang, E., & Riandari, F. (2019). Decision Support System For Selection Of The Best Doctors In Sari Mutiara Hospital Using Fuzzy Tsukamoto Method. Jurnal Mantik, 3(3, Nov), 28-33. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/265
Anggraini, D., & Sihotang, H. (2019). Decision Support System For Choosing The Best Class Guardian With Simple Additive Weighting Method. Jurnal Mantik, 3(3, Nov), 1-9. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/278
Puspa, M., & Sihotang, H. (2019). Decision Support System For Supplementary Food Recipients (PMT) By Using The Simple Additive Weighting (SAW) Method. Jurnal Mantik, 3(3, Nov), 19-27. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/280
Purba, E., & Sihotang, H. (2019). Decision Support System For Prospective Recipients Of The Healthy Indonesia Card (Kis) In The Village Of Bah Sidua Dua With The Analytical Hierarchy Process (AHP) Method. Jurnal Mantik, 3(3, Nov), 82-90. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/320
Purba, R., & Sihotang, H. (2019). Decision Support Systems Recipient Program Keluarga Harapan (PKH) In Durian Kec.Pantai Labu Kab. Deli Serdang with the Simple Additive Weighting (SAW) Method. Jurnal Mantik, 3(3, Nov), 91-98. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/325
Devi, S., & Sihotang, H. (2019). Decision Support Systems Assessment of the best village in Perbaungan sub-district with the Simple Additive Weighting (SAW) Method. Jurnal Mantik, 3(3, Nov), 112-118. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/334
Nopriansya, N., & Sinaga, B. (2019). Gastric Disease Diagnosis Expert System With Bayes Method. Jurnal Mantik, 3(3, Nov), 46-53. Retrieved from https://iocscience.org/ejournal/index.php/mantik/article/view/314
Hawari, M. I., & Sinaga, B. (2019). Naïve Bayes Algorithm Implementation To Predict Gum Production at PT. Sri Rahayu Court. Jurnal Mantik, 3(3, Nov), 40-45.
Sihotang, J. (2019). IMPLEMENTATION OF GRAY LEVEL TRANSFORMATION METHOD FOR SHARPING 2D IMAGES. INFOKUM, 8(1, Desembe), 16-19.
Perwira, Y., & Apriani, W. (2019). IMPLEMENTATION OF FOURIER PHASE ONLY SYNTHETIS METHOD FOR 3D IMAGE PLANNING. INFOKUM, 8(1, Desembe), 20-24.
Manurung, J. (2019). APPLICATION OF FIFO ALGORITHM (FIRST IN FIRST OUT) TO SIMULATION QUEUE. INFOKUM, 7(2, Juni), 44-47.
Hasugian, P. S. (2018). THE DATA MINING OF CELL PHONE MOST INTERESTED USING APRIORIAL ALGORITHM. INFOKUM, 7(1, Desembe), 7-15
Sitio, A. S. (2018). TEXT MESSAGE COMPRESSION ANALYSIS USING THE LZ77 ALGORITHM. INFOKUM, 7(1, Desembe), 16-21
Sitohang, A. (2018). REDUCTION EYE RED DIGITAL IMAGE EFFECT WITH ALGORITHM INTENSITY COLOR CHECKING. INFOKUM, 7(1, Desembe), 22-27
R. Mahdalena Simanjorang. (2020). IMPLEMENTATION OF APRIORI ALGORITHM IN DETERMINING THE LEVEL OF PRINTING NEEDS. INFOKUM, 8(2, Juni), 43-48
Sihotang, J. (2020). ANALYSIS OF SERVICE SATISFACTION LEVEL USING ROUGH SET ALGORITHM. INFOKUM, 8(2, Juni), 55-56