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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Prosiding Seminar Nasional Official Statistics
Ariansyah, Setiawan
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Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Pemodelan Spasial Prevalensi Ketidakcukupan Konsumsi Pangan Menggunakan Pendekatan Ketahanan Pangan di Indonesia Tahun 2022 Yahya, Muhammad Gozali; Utami, Intan Putri; Ariansyah, Setiawan
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1910

Abstract

The prevalence of undernourishment (PoU) is one of the strategic indicators in achieving SDG Goal 2, which is zero hunger. The percentage of the population experiencing undernourishment in Indonesia has been increasing over the past three years. In 2020, 8.34% of the population experienced undernourishment. This number slowly rose to 8.49% in 2021 and sharply increased to 10.21% in 2022. Based on these findings, this research aims to identify patterns and factors influencing PoU. The distribution of PoU values among provinces shows a tendency of similarity in values among neighboring provinces. Based on the Spatial Durbin Model (SDM) regression analysis, it is known that significant variables affecting the prevalence of undernourishment are population density in the availability dimension, open unemployment rate and percentage of good roads in the access dimension, life expectancy at birth in the utilization dimension, as well as economic growth and average rainfall in the stability dimension.
THE EXPLOITATION STATUS OF WORKING SCHOOL-AGE CHILDREN IN INDONESIA: A MULTILEVEL BINARY LOGISTIC REGRESSION ANALYSIS Ariansyah, Setiawan; Siagian, Tiodora Hadumaon
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 1 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss1pp291-302

Abstract

Many children in Indonesia are exploited in the workforce. In 2022, 12.22 percent of school-age children worked more than 40 hours per week. Children are considered exploited if they work more than 20 hours a week. Children who work for a long time have serious impacts. This study aims to determine a general picture of the exploitation of working school-age children in Indonesia and its influence factors. This study uses the March 2023 Socioeconomic Survey (SUSENAS) data by utilizing multilevel analysis specifically the two-level binary logistic regression method. The study results showed that 54.22 percent of school-age children are working and exploited in Indonesia. The individual and regional contextual factors that are significantly associated with the exploitation status of working school-age children are age, sex, education level, education of household head, sex of household head, employment status of household head, Smart Indonesia Programme (PIP) ownership status, family size, expected years of schooling (HLS), and poverty level. This study finds that increasing age, male sex, lack of access to the PIP, low household head education, female-headed households, unemployed household heads, and larger household sizes increased the likelihood of child exploitation. Moreover, children residing in districts with lower HLS scores had a higher chance of being exploited. These findings highlight the importance of considering both individual and regional contextual factors when addressing child exploitation. A two-level binary logistic regression model with random effects provides a better fit than the intercept-only model. Therefore, it is recommended to prioritize interventions for children without access to the PIP and those from household heads with low education levels. Furthermore, programs emphasizing the importance of education for children should be strengthened.
Co-Authors Siagian, Tiodora Hadumaon Utami, Intan Putri Yahya, Muhammad Gozali