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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Aplikasi Statistika & Komputasi Statistik Prosiding Seminar Nasional Official Statistics
Sumarni, Cucu
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Determinan Kemiskinan Pekerja Sektor Pariwisata di Provinsi Daerah Istimewa Yogyakarta Saat Pandemi COVID-19 Nalom, Gian Ananta; Sumarni, Cucu
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.v2023i1.1733

Abstract

The COVID-19 pandemic has increased poverty in Indonesia and one of the most affected sectors is tourism. Yogyakarta Province as tourist destination, experienced a decline in tourism during the pandemic which led to an increase in poverty and the emergence the phenomenon of working poor tourism sector. The study aims to analyze determinants of the poverty of tourism sector workers in Yogyakarta Province during the pandemic. Data from Sakernas August and BPS publications 2020 with the binary logistic multilevel method. The results showed that during the pandemic, female; aged over 55 years; junior high school and below; working less than a year; working hours less than 35 hours a week; not using internet; and working in tourism services other than trade, transportation, and accommodation services had a greater chance of being working poor. In addition, tourist visits reduce the tendency of tourism sector workers to be woorking poor in Yogyakarta Province.
The Application of Partial Proportional Odds Model on Determinants Analysis of Household Food Insecurity Level in Papua, Indonesia Abigael, Rolyn; Sumarni, Cucu; Sastri, Ray
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 17 No 1 (2025): Jurnal Aplikasi Statistika & Komputasi Statistik
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v17i1.798

Abstract

Introduction/Main Objectives: Food insecurity in Papua, Indonesia, is still high. However, the study on that issue is limited. This research aims to analyze the determinants of food insecurity in Papua. Background Problems: An ordinal logistic regression can be used. However, this model generally requires the parallel lines assumption. However, somehow, the assumption is often violated. Novelty: This study used a model that relaxes the assumption of parallel lines. This model can capture the condition that some parameters are assumed to meet parallel lines and some do not. Research Methods: In this case, the partial proportional odds model was applied to find the determinant of household food insecurity status by using the National Socioeconomic Survey (SUSENAS) data. Finding/Results: The results show that a female head of household, age 60 years and above, junior high school education and below, has a higher tendency to be at least mildly food insecure, and the effect is the same for each level of food insecurity. Household heads who do not work, work in agriculture, and have household drinking water sources that are not feasible can aggravate the food insecurity level. Meanwhile, food assistance provided by the government influences reducing food insecurity levels.
SMALL AREA ESTIMATION OF CHILD UNDERNOURISHMENT PREVALENCE IN BALI AND NUSA TENGGARA Nuriyo, Amalia Ndaru; Fajar, Huda Muhammad; Novaldi, Jeremia; Rahmi, Meautia; Miswa, Sabrina Do; Sumarni, Cucu
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp743-754

Abstract

Children under the age of 17 are particularly prone to undernutrition. Undernutrition can impair children’s growth and development. In the process of policy formulation, it is necessary to calculate a reliable estimate of the prevalence of child undernourishment at the smallest level possible. Using the data of SUSENAS 2023 from BPS, direct estimates at the regency/city level in Bali, West Nusa Tenggara (NTB), and East Nusa Tenggara (NTT) have relative standard error values of over 25% (RSE > 25%), making them less reliable for usage. To solve this, an indirect estimating method known as small area estimation (SAE) can be applied. This study employs SAE HB Lognormal to estimate the prevalence of undernutrition in children. The results of this study show that small area estimation using the HB Lognormal approach improved the reliability of estimates (RSE) of the prevalence of undernutrition in children at the regency/city level in Bali, NTB, and NTT.
Co-Authors Abigael, Rolyn Fajar, Huda Muhammad Miswa, Sabrina Do Nalom, Gian Ananta Novaldi, Jeremia Nuriyo, Amalia Ndaru Rahmi, Meautia Sastri, Ray