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Penerapan Logika ANFIS Sistem Penilaian Kinerja Dosen Pada Tri Dharma dan Perilaku Kerja

Kiswanto Kiswanto scopus  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
Benny Wijaya Benny  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
Yurindra Yuri  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
Marini Mar  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
Sarwindah Sarwindah  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
*Supardi Supardi  -  Institut Sains dan Bisnis Atma Luhur Pangkalpinang, Indonesia
Open Access Copyright (c) 2022 JSINBIS (Jurnal Sistem Informasi Bisnis)

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Abstract

This research is motivated by several problems related to the not-yet optimal implementation of the performance assessment of tri dharma lecturers and work behavior on the ISB Atma Luhur campus. The importance of this research is because the tri dharma lecturer performance appraisal system and work behavior are useful for study program accreditation and university accreditation. The purpose of this study is to make lecturers responsible for the tri dharma and work behavior. The method used in this study is the ANFIS logic method. The results of this study are in the form of a lecturer's report card or a lecturer's performance assessment for one semester issued by SPMI. The variables used are education and teaching 40%, research 20%, dedication 10%, and work behavior 30%. The main result is the report card for each lecturer. The main finding from the lecturers' report cards, a decision can be made for SPMI to reprimand lecturers whose lecturers report cards to fall into the category of "BAD" lecturer performance. The average teaching value obtained is 3,624 plus the research value is 2,920 plus the service value is 2,800 plus work behavior, the value is 2,908. Lecturer performance value = 0.4 teaching plus 0.2 research plus 0.1 community service plus 0.3 work behavior. Equals 1.450 plus 0.584 plus 0.280 plus 0.872 equals 3.186. So the performance value of this lecturer is included in the category of "GOOD" lecturer performance.

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Keywords: Lecturer Performance Assessment System; Adaptive Neuro Fuzzy Inference System Logic; Hybrid Algorithm; Backpropagation Algorithm

Article Metrics:

  1. Afni, N., 2016. Pengukuran penilaian kinerja karyawan menggunakan metode Adaptive Neuro Fuzzy Inference System (Anfis). None, 12(2), 140–152
  2. Afriliana, I., Budihartono, E., & Maulana, A., 2017. Pengukuran kinerja dosen menggunakan metode Adaptive Neuro Fuzzy Inference System ( ANFIS ). 02(02), 109–112
  3. Afriliana, I., Sulasmoro, A. H., & Sofyan, A., 2019. Klasifikasi kinerja pengajaran dosen menggunakan metode ANFIS sebagai upaya peningkatan Sistem Penjaminan Mutu Internal (SPMI). Journal of Innovation Information Technology and Application (JINITA), 1(01), 68–73
  4. Ahmad, 2021. Sistem penilaian kinerja karyawan menggunakan Fuzzy Inference System metode mamdani. Scientia Sacra: Jurnal Sains, 1(3). http://pijarpemikiran.com/index.php/Scientia
  5. Ariyanto, E.T & Sutikno, S, 2018. Penerapan logika fuzzy untuk menentukan kondisi mesin pada motor transmisi manual (studi kasus honda Cs-1). Simetris: Jurnal Teknik Mesin, Elektro Dan Ilmu Komputer, 9(1), 173–180
  6. Fajriani, R.N., Asriani, F., & Susilawati, H., 2018. Penerapan Adaptive Neuro-Fuzzy Inference System (ANFIS) untuk pemantauan status Gunung Merapi. Prosiding Seminar Nasional Multimedia & Artificial Intelligence, 84
  7. Furqan, M., 2014. Penerapan Fuzzy Inference System ( Fis ) untuk menentukan kinerja dosen bidang pengajaran, 6(1), 47–65
  8. Hidayat, T & Hasim, Y.K., 2020. Model Multi-Attribut Decission Making (MADM) untuk penilaian kinerja dosen menggunakan metode Weighted Product. JUTIS (Jurnal Teknik Informatika), 37–42
  9. Johan, T.M., & Ahmalia, R., 2019. Penilaian mutu dosen terhadap tri dharma perguruan tinggi dengan menerapkan Logica Fuzzy Logic di STIKES Nan Tongga. Jurnal Akademika Baiturrahim Jambi, 8(2), 26–32
  10. Kiswanto, K., Yanuarti, E., Wijaya, B., Laurentinus, L., Supardi, S & Raya, A.M., 2022. Utilization of location-based services using augmented reality perception method for android based school search. Sinkron, 7(1), 83–92
  11. Mulyati, S., 2020. Implementasi logika fuzzy dalam optimasi jumlah produksi barang menggunakan Metode Tsukamoto (Studi Kasus : Toko XYZ Situbondo). Jurnal Teknik, 9(2), 66–77
  12. Permana, I.A., 2020. Analisis penilaian kinerja dosen menggunakan metode Balance Scorecard (Studi Kasus STT Sangkakala). Jurnal Riset Ekonomi Dan Bisnis, 13(2), 89
  13. Pratama, Y., Boeriswati, E & Murtado, F., 2019. Penggunaan Google Classroom. 1( http://ejournal.unsub.ac.id/index.php/sendinusa/issue/view/61).
  14. Şahin, M & Erol, R., 2017. A comparative study of neural networks and ANFIS for forecasting attendance rate of soccer games. Mathematical and Computational Applications, 22(4), 43
  15. Salamun, S & Arisandi, D., 2020. Sistem monitoring kinerja dosen pada institusi perguruan tinggi swasta (studi kasus: Universitas Abdurrab). Digital Zone: Jurnal Teknologi Informasi Dan Komunikasi, 11(2), 198–208
  16. Santoso, D.I., Adiwibowo, P.H., & Rasyid, A.H.A., 2019. Analisis beban kinerja dosen periode 2012-2016 terhadap pelaksanaan tri dharma pada prodi DIII teknik mesin. JVTE: Journal of Vocational and Technical Education, 01(02), 11–18
  17. Simanjuntak, M & Fauzi, A., 2017. Penerapan fuzzy mamdani pada penilaian kinerja dosen (studi kasus STMIK Kaputama Binjai). Jurnal ISD, 2(2), 2528–5114
  18. Taufiq, R., 2015. Penilaian kinerja dosen dalam bidang belajar mengajar di Fakulta Teknik Universitas Muhammadiyah Tangerang. Faktor Exacta, 5(1), 77–85
  19. Yoga H.A. & Kurniawan, H., 2015. Sistem pendukung keputusan penilaian kinerja dosen menggunakan metode Weighted Product (Studi Kasus : STMIK Pontianak). Seminar Nasional Informatika 2015, 177–182
  20. Yuniarto, Y., 2017. Pengaruh motivasi dan insentif terhadap penilaian prestasi kerja dosen tetap di Universitas Bunda Mulia. Business Management Journal, 8(1), 91–107

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