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Lia Yuliana
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Penerapan Regresi Logistik Biner pada Status Kesejahteraan Rumah Tangga di Provinsi Bali Tahun 2020 Vinanda Sonya Permatasari; Lia Yuliana
Seminar Nasional Official Statistics Vol 2021 No 1 (2021): Seminar Nasional Official Statistics 2021
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (328.488 KB) | DOI: 10.34123/semnasoffstat.v2021i1.943

Abstract

Welfare is a target of all countries including Indonesia. Actions to achieve prosperity can be started by evaluating the region and following in the footsteps of other prosperous regions. Researchers chose Bali as a region that can be used as a role model in the field of welfare because of its success in achieving prosperity and reducing poverty. This study aims to determine the general description of household welfare and the effect of household characteristics on household welfare in Bali in 2020. The research unit of analysis used was households with working and temporarily unemployed household heads. The analytical method used is descriptive and binary logistic regression analysis. The results are the number of household members, gender of head of household, age of head of household, last education of household head, household business field, and main occupation sector of the household head have a significant effect on welfare in Bali in 2020.
Determinan Kepemilikan Jaminan Kecelakaan Kerja pada Pekerja Informal di Provinsi Jawa Timur Hery Wahyu; Lia Yuliana
Inferensi Special Issue: Seminar Nasional Statistika XI 2022
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v1i1.19124

Abstract

The informal sector is often seen as workers with low wages, difficult and dangerous jobs, and low protection. The high rate of work accidents makes the importance of work accident insurance for all workers, especially informal workers. Work Accident Insurance is a benefit in the form of cash and health services provided when a participant experiences a work accident or illness caused by the work environment. This study aims to determine the factors that influence Occupational Accident Benefit ownership for informal sector workers in East Java Province in 2021 using the binary logistic regression method. The data used comes from August 2021 SAKERNAS data. The results of this study show that the variables of the area of residence, gender, income, age, marital status, education, and the number of household members affect Occupational Accident Benefit ownership status. Informal sector workers who have a greater tendency to have Occupational Accident Insurance are informal workers with the characteristics of residing in urban areas, male gender, having income greater than or equal to the provincial minimum wage, have been married, having an age range of 15- 25 years old, minimum education is high school, and the maximum number of household members is 4 people
Co-Authors Hery Wahyu Vinanda Sonya Permatasari