Jupiter
Vol 13 No 2 (2021): JUPITER Edisi Oktober 2021

Identify Level of Welfare Population Based on Income Levels Using Decision Tree Method

Yunita Ardilla (Universitas Islam Negeri Sunan Ampel Surabaya)
Wilda Imama Sabilla (Politeknik Negeri Malang)
Sarah Astiti (Institut Teknologi Telkom Purwokerto)



Article Info

Publish Date
25 Oct 2021

Abstract

Identification of population welfare influenced by several factors. This identification is useful to assist the government in classifying the level of welfare population which is useful for providing subsidies to be targeted. Therefore this study aims to determine the level of welfare population based on the level of income per capita using decision tree method. The selection of the best model is based on the calculation value of accuracy, precision, and recall with k-fold cross validation method. Based on experiments that have been done, it can be concluded that the decision tree model produced has good performance with a tree shape model has 622 leaves with tree size 705 of nodes, the model has an accuracy of 86,97%, precision 0.897 and recall 0.917.

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Journal Info

Abbrev

jupiter

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering Library & Information Science

Description

Tentang Jurnal Ini Fokus dan Ruang Lingkup Bidang kajian yang dapat dimuat pada jurnal Jupiter meliputi dan tidak terbatas pada: Mobile Computing Image Processing Computer Graphic Artificial Intelligence Information Retrieval Computer Vision Algorithm & Complexity Data Mining Information System ...