Klasifikasi Rumah Tangga Miskin Di Kecamatan Kaubun Tahun 2020 Dengan Menggunakan Metode Improved Chi-Square Automatic Interaction Detection

  • Pratiwi Dwi Yuliasari Laboratorium Statistika Komputasi FMIPA Universitas Mulawarman
  • Rito Goejantoro Laboratorium Statistika Komputasi, FMIPA Universitas Mulawarman
  • Fidia Deny Tisna Amijaya Laboratorium Matematika Komputasi, FMIPA Universitas Mulawarman

Abstract

Classification was grouping samples based on similarities and differences by using categorical variables. The classification method used in this study was the Improved Chi-square Automatic Interaction Detection (I-CHAID) which was an improvement from the CHAID method. This research aims to provide an overview of poor households and classify poor households, and to compare the accuracy of the classification results for each data proportion. The data used is household data in Kaubun District in 2020 with poor and non-poor status. The results of this study indicate that there were 10 households with poor status, and households were classified as poor if the frequency of eating is less than 3 times a day, and the best classification accuracy results use the proportion of training data of 60% and testing data of 40%.

Published
2021-06-22
How to Cite
YULIASARI, Pratiwi Dwi; GOEJANTORO, Rito; AMIJAYA, Fidia Deny Tisna. Klasifikasi Rumah Tangga Miskin Di Kecamatan Kaubun Tahun 2020 Dengan Menggunakan Metode Improved Chi-Square Automatic Interaction Detection. EKSPONENSIAL, [S.l.], v. 12, n. 1, p. 83-92, june 2021. ISSN 2085-7829. Available at: <http://jurnal.fmipa.unmul.ac.id/index.php/exponensial/article/view/765>. Date accessed: 25 sep. 2021.