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| Tujuan artikel ini adalah untuk mengenalpasti teknik pengelasan terbaik dan penerokaan pengetahuan baru terhadap data permohonan penempatan di Kementerian Pendidikan Malaysia (KPM). Eksperimen dijalankan terhadap lebih 23,000 rekod untuk sesi 2014 menggunakan enam teknik pengelasan. Artikel ini memaparkan dua fasa eksperimen. Fasa pertama fokus kepada faktor demografi, persekitaran dan keperluan perjawatan manakala fasa kedua pula mempunyai faktor tambahan iaitu faktor kemanusian. Hasil kajian mendapati model pengelasan terbaik di fasa pertama ialah 97.66% manakala di fasa kedua 98.07%. Kajian juga mendapati teknik pengelasan terbaik adalah konsisten iaitu Kstar berbanding J48, Jadual Keputusan, OneR, SMO dan Naïve Bayes. Daripada hasil kajian ini dapat disimpulkan Kstar adalah teknik terbaik pengelasan data penempatan guru untuk digunakan melombong data penempatan bagi tahun yang seterusnya. Adalah diharapkan ianya dapat menghasilkan keputusan terbaik untuk membantu pihak pengurusan KPM membuat keputusan dalam proses permohonan pertukaran dan penempatan guru. |
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