Authors:

I GUSTI NGURAH SENTANA PUTRA, MADE SUSILAWATI, I PUTU WINADA GAUTAMA

Abstract:

“This research was conducted to determine the variables that have a significant impact on the stages of a well-off family in Sidemen Sub-district based on indicators obtained from the BKKBN and to classify the stages of a well-off family. This study used secondary data obtained from the stage of well-being data, Sidemen Sub-district, Karangasem Regency from BKKBN, totaling 1796 families. The method used is ordinal logistic regression and bagging ordinal logistic regression. Based on the logit regression model of ordinal logistic regression and ordinal logistic regression bagging, there are fourteen variables that have a significant effect on the dependent variable, namely marital status, type of insurance, age of head of household, occupation of head of household, having a source of income, eating a variety of food, having savings, accessing information from online media, families have ever recreated together, families have ever participated in social/community activities, the largest type of floor, main source of drinking water, ownership of a house/building, and children are still in school. The classification accuracy level in testing data using the ordinal logistic regression method was 79.4%, while the classification accuracy level using the bagging ordinal logistic regression method with 50,000 replications was 82.78%, so bagging showed an increase in classification by 3.38%.”

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PDF:

https://jurnal.harianregional.com/mtk/full-98588

Published

2023-05-31

How To Cite

PUTRA, I GUSTI NGURAH SENTANA; SUSILAWATI, MADE; GAUTAMA, I PUTU WINADA. KLASIFIKASI TINGKAT KESEJAHTERAAN KELUARGA DI KECAMATAN SIDEMEN MENGGUNAKAN BOOTSTRAP AGGREGATING (BAGGING) REGRESI LOGISTIK ORDINAL.E-Jurnal Matematika, [S.l.], v. 12, n. 2, p. 121-131, may 2023. ISSN 2303-1751. Available at: https://jurnal.harianregional.com/mtk/id-98588. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/MTK.2023.v12.i02.p409.

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Issue

Vol 12 No 2 (2023)

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License