JURNAL SISTEM INFORMASI
Vol 9, No 2 (2016): Studia Informatika: Jurnal Sistem Informasi Vol. 9 No. 2 Oktober 2016

SPASIAL CLASIFICATION MINING UNTUK MENENTUKAN PRAKIRAAN CURAH HUJAN BERDASARKAN KARAKTERISTIK WILAYAH

Eva Khudzaeva (Unknown)



Article Info

Publish Date
15 Oct 2016

Abstract

Information about the condition of rainfall is one of the essential elements and a big influence on all kinds of livelihood activities, Banten province is a region that is characteristic of the region vary, so study the spatial patterns of the relationship between rainfall data with the characteristics of the region, will obtain the factors that influence precipitation and can determine the bulk rainfall prediction based on its characteristics in Banten Province. Data mining provides the desired search patterns in large databases to assist in decision making at a time when it comes to looking for patterns of relatedness in the used mining methods using decision tree classification, where the rainfall data will be classified with regional characteristics, so as to generate a forecast of rainfall.

Copyrights © 2016






Journal Info

Abbrev

sisteminformasi

Publisher

Subject

Computer Science & IT

Description

Jurnal Sistem Informasi merupakan jurnal keilmuan bidang sistem informasi dan teknologi informasi yang memuat tulisan-tulisan ilmiah mengenai penelitian-penelitian murni dan terapan serta ulasan-ulasan umum tentang perkembangan teori, metode dan ilmu-ilmu terapan terkait. Jurnal Sistem Informasi ...