Application of the Fuzzy Sugeno Method in a Decision Support System for Teacher Performance Assessment

Muhammad Rezeki(1*), Nursaka Putra(2)
(1) Universitas Putra Indonesia YPTK, Padang
(2) Universitas Catur Insan Cendikia, Cirebon
(*) Corresponding Author
DOI : 10.30983/ijokid.v1i2.5043


The teacher is a professional educator who has essential duties, functions, and roles in the nation's intellectual life. In order for the functions and duties attached to the functional positions of teachers to be carried out following applicable regulations, it is necessary to assess teacher performance which ensures a quality learning process at all levels of education. Currently, teacher performance evaluation uses a manual assessment system, which causes the evaluation process to be relatively long. For this reason, a decision support system is needed that can take into account all the criteria that support decision making in order to assist, speed up and simplify the decision-making process. In determining teacher performance assessment, the method used is Fuzzy Takagi-Sugeno Kang (Fuzzy Sugeno). This method was chosen because the Fuzzy Sugeno method is a decision support model where the main input uses the basic concept of finding the weighted summation. The Fuzzy Sugeno method for assessing teacher performance uses three stages: the Fuzzification Stage, the Implication Function Stage, and the Defuzzification Stage. The level of validity with Sugeno's Fuzzy Inference Systems (FIS) method for assessing teacher performance is very good.


Decision Support System, Fuzzy Sugeno, Teacher Performance Assessment


Nursaka Putra. et al., 2020. Identification of Intelligent Participants Using Profile Matching Method (Case Study at Senior High School 1 Sungai Aur). , J. Phys.: Conf. Ser. 1842 012005. doi:10.1088/1742-6596/1842/1/012005.

Achmad Noercholis dan Muhammad Luqman Hakim, 2016. Sistem Pendukung Keputusan Penilaian Kinerja Guru PNS Di SMKN Sukorejo 1 Dengan Menggunakan Metode Fuzzy AHP. , Jurnal Ilmiah Teknologi dan Informatika ASIA (JITIKA), Vol.10, No.2, Agustus 2016, ISSN: 0852-730X.

Dadang Heksaputra, 2018. Fuzzy Intelligence System For Employee Assessment: A Case Studi Of Xyz University In Yogyakarta. , IJUBI - VOL. 1 NO. 1 (2018): 9 - 16.

Wahyuni Havid, 2018. Penerapan Metode Fuzzy Logic Tsukamoto Untuk Penentuan Siswa Berprestasi Pada SMAN 1 Sangatta Selatan. , JATI (Jurnal Mahasiswa Teknik Informatika). Vol. 2 No. 1, Maret 2018.

Fandra Satria dan Alexander J.P. Sibarani, 2020. Penerapan Metode Fuzzy Tsukamoto untuk Pemilihan Karyawan Terbaik Berbasis Java Desktop. , Jurnal Teknologi Informasi & Komunikasi Digital Zone, Volume 11, Nomor 1 Mei 2020: 130-143.

Fanisya Alva Mustika, 2021. Metode Fuzzy Sugeno Untuk Penilaian Kinerja Guru SMK Tamansiswa 3 Jakarta , STRING (Satuan Tulisan Riset dan Inovasi Teknologi). Vol. 6 No. 1 Agustus 2021. e-ISSN: 2549 - 2837.

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