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

Penulis

  • Yunita Ardilla UIN Sunan Ampel Surabaya
  • Wilda Imama Sabilla Politeknik Negeri Malang
  • Sarah Astiti Institut Teknologi Telkom Purwokerto

DOI:

https://doi.org/10.5281/3375.jupiter.2021.10

Abstrak

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.   Keywords—Classification, Decision Tree, Prosperty Level

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Diterbitkan

2021-10-25

Cara Mengutip

Yunita Ardilla, Wilda Imama Sabilla, & Sarah Astiti. (2021). Identify Level of Welfare Population Based on Income Levels Using Decision Tree Method . JUPITER (Jurnal Penelitian Ilmu Dan Teknologi Komputer), 13(2), 15–21. https://doi.org/10.5281/3375.jupiter.2021.10