PENGKLASTERAN LAHAN SAWAH DI INDONESIA SEBAGAI EVALUASI KETERSEDIAAN PRODUKSI PANGAN MENGGUNAKAN FUZZY C-MEANS
Author(s) -
Nur Afifah,
Dian Candra Rini Novitasari,
Ahmad Lubab
Publication year - 2016
Publication title -
jurnal matematika mantik
Language(s) - English
Resource type - Journals
eISSN - 2527-3167
pISSN - 2527-3159
DOI - 10.15642/mantik.2016.2.1.40-45
Subject(s) - java , fuzzy logic , cluster analysis , agricultural science , mathematics , agricultural engineering , environmental science , engineering , computer science , statistics , operating system , artificial intelligence
The number of rice field in Indonesia is decreasing due to development of residential areas and buildings. Consequently, it reduces foodstuff availability and government should import it from other. Increasing food production and minimizing imported food can be started by clustering fields as an evaluation. This clustering is approached by Fuzzy C-Means. Training and Testing data are implemented on Matlab and yield three categories, wide, medium and narrow field. Moreover, the most potential field is East Java, Central Java, and West Java
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