ANALISIS KINERJA ALGORITMA CLUSTERING FUZZY TSUKAMOTO DENGAN FUZZY C-MEANS

Iin Parlina, Herman Mawengkang, Syahril Efendi

Abstract


Efforts to evaluate employees in the work is to assess the performance of each employee. For it has been formulated assessment is based upon work objectives according to the position or job title, and by weighting against six indicators into three groups. The number of data values and indicators to be used will certainly lead to difficulties in implementation, not effective and less objective. Therefore we need a clustering process more optimal assessment. This study aims to analyze the performance of FCM algorithm implemented on employee performance evaluation PT. Bank Syariah Mandiri into 3 clusters. Some of the steps that must be performed before clustering, first performed pretreatment, namely data cleaning and data transformation for further clustering using the algorithm. The results of the calculations used to analyze the performance of the algorithm with FCM Tsukamoto. Compatibility calculation value data by Tsukamoto algorithm is pretty good and for the FCM algorithm is Very Good. FCM algorithm can be used in the assessment of grouping data based on the three criteria of assessment.


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References


Kusumadewi, S.and Purnomo, H. 2010. Aplikasi Logika Fuzzy Untuk Pendukung Keputusan. Graha Ilmu. Yogyakarta.

Hamzah, Amir, et al. "Studi kinerja fungsi-fungsi jarak dan similaritas dalam clustering dokumen teks berbahasa indonesia." Seminar Nasional Informatika (SEMNASIF). Vol. 1. No. 1. 2015.

Koesmono, H. Teman. "Pengaruh budaya organisasi terhadap motivasi dan kepuasan kerja serta kinerja karyawan pada sub sektor industri pengolahan kayu skala menengah di jawa timur." Jurnal Manajemen dan Kewirausahaan (Journal of Management and Entrepreneurship) 7.2 (2006): pp-171.

Suprihanto. J. (2006) Penilaian Kinerja dan Pengembangan karyawan. Yogyakarta: BPFE UGM.

Luthfi, Emha Taufiq. "Fuzzy C-Means untuk Clustering Data (studi kasus: data performance mengajar dosen)." Prosiding Seminar Nasional Teknologi, Yogyakarta. 2007.

A Wisnujati, Inu. "Pembentukan sistem inferensi fuzzy mamdani dengan fuzzy C-means untuk data mahasiswa baru IPB tahun 2000-2004." (2006).

Kaswidjanti, Wilis. "Implementasi Fuzzy Inference System Metode Tsukamoto Pada Pengambilan Keputusan Pemberian Kredit Pemilikan Rumah." Telematika 10.2 (2014).


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