Open AccessKlasifikasi Kab Kota Provinsi Jawa Barat Berdasarkan Pendapatan Dari Sektor Pertanian Dengan Algoritma Decision Tree
Author(s) -
Amril Mutoi Siregar,
Ahmad Fauzi
Publication year - 2020
Publication title -
factor exacta/faktor exacta
Language(s) - English
Resource type - Journals
eISSN - 2502-339X
pISSN - 1979-276X
DOI - 10.30998/faktorexacta.v13i1.5542
Subject(s) - revenue , agriculture , government (linguistics) , decision tree , poverty , agricultural science , business , agricultural economics , forestry , geography , economics , computer science , economic growth , finance , artificial intelligence , environmental science , linguistics , philosophy , archaeology
The welfare level of rural communities, especially the province of West Java, especially those living away from the cities, can not be separated from the primary revenue is in the agriculture sector. The agricultural industry covers many industries and still many lives under the poverty line. Because facilities and financing are still minimal from the local government. Given the root of the problem is that almost all villages in the city district do not have the correct data, accurate and precise about the condition of the issues and potential of the village-owned . This research is expected to be the wrong way to know the future development opportunities by analyzing the revenue data from the agriculture sector to better decision making. And this data processing technique can be implanted for the local government to measure the success of its agriculture. The selection of features in this study is to use the Decision Tree algorithm to classify data automatically. After this research, the Accuracy of 90% obtained. Keywords : DataMining, classification, Decision Tree, agriculture