Development and manusai resource development (HRD ) as the challenges and demands in the era of globalization which makes change very rapidly , an urgent need . Human Resource Development conducted and produced through education and training programs ( training ) which is a very strategic way to improving the quality of human and dignity , dignity and well-being . In the process of training in Pusbangtendik Kemendikbud Pre-service participants consisted of 3 types of them ; leadership training ( Echelon 3 and 4 ) ; Pre-service training and technical training . All employees who would be prepared civil servants in order to better understand the procedures and policies . Of each stage there are judgments to obtain input of each participant assessment conducted by the evaluation section , the assessment is expected to be done to get an idea of recommending appropriate placement . Assisted by using fuzzy c-means algorithm and matlab order accuracy and can be processed more quickly and accurately .
Part of the evaluation activities to assess the participants of the training quite a lot and require a level of accuracy appropriate , to avoid mistakes in recommending and does not involve manipulation of the assessment data . The results obtained by using fuzzy c-means algorithm is 60 % more accurate in recommending Pre-service participants who later passed on Pusbangtendik Kemendikbud.
________, 2010. Buku Panduan Tugas Akhir Bina Sarana Informatika.
Arwan Ahmad Khoiruddin. 2007. Penentuan Nilai Akhir Kuliah Dengan Fuzzy C-Means, SNSI
Christian W. Dawson, 2009. Project in computing and information system, Second Edition. Addison Wesley
Dr. Eng. Agus Naba. 2010. Belajar Cepat Fuzzy Logic Menggunakan Matlab. Andi Publisher
Emha Taufiq Luthfi, 2007. Fuzzy c-means untuk clustering data (studi kasus : data performance mengajar dosen), SNT 2007
Irma Irandha P.W, Ana Fariza, Entin Martiana K. 2007. Analisa Keluarga Miskin Dengan Menggunakan Metode Fuzzy C-Means Clustering
Klawonn, F. dan Höppner, F., (2001), “What is Fuzzy about Fuzzy Clustering? Understanding and Improving the Concept of the Fuzzier”. Science Journal, http://public.rz.fh-wolfenbuettel.de/klawonn
Klawonn, F. dan Kruse, R., (1995), “Clustering Method in Fuzzy Control”, Science Journal, http://public.rz.fh-wolfenbuettel.de/klawonn
Kusumadewi, Sri; Purnomo, Hari. 2010. Aplikasi Logika Fuzzy untuk Pendukung Keputusan. Penerbit Graha Ilmu
Kusumadewi, Sri; Hartati, Sri, Rentantyo, wardoyo; Harjoko, Agus. 2006. Fuzzy Multi-Attribute Decision Making (FUZZY MADM). Penerbit Graha Ilmu
Kusumadewi, Sri; Hartati, Sri. 2006. Neuro-Fuzzy : Integrasi Sistem Fuzzy dan Jaringan Syaraf.Yogyakarta. Graha Ilmu.
Samuel Lukas, Meiliayana, William Simson. 2009. Penerapan logika fuzzy dalam pengambilan keputusan untuk jalur peminatan mahasiswa.
Shihab, A. I., (2000), Fuzzy Clustering Algorithm and Their Application to Medical Image Analysis. Dissertation, University of London, London.
Sugiyono. 2009. Metode Penelitian Kuantitatif Kualitatif dan R&D.Bandung : Alfabeta.
Wen-Chih Chang, Sheng-Lin Chen, Mao-Fan Li, Jui-Yu Chiu . 2009. Integrating IRT to Clustering Student's Ability with K-Means, IEEE, 2009