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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Prosiding Seminar Nasional Official Statistics
Putri, Shalihati Melani
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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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Determinan Prevalensi Balita Stunting di Indonesia Tahun 2021 Priatmadani, Priatmadani; Anjarweni, Hanifah Ukti; Putri, Shalihati Melani; Pramana, Anugerah Surya; Palupi, Retno; Budiasih, Budiasih
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.v2023i1.1753

Abstract

Stunting is a disorder of child growth and development caused by inadequate nutritional intake and is characterized by below standard height. The stunting prevalence rate in Indonesia still exceeds the WHO recommendation, which is 20%, which is 24.4%. The problem of stunting in Indonesia is related to food security, economic and social conditions of the community. From this aspect, variables that are suspected of influencing stunting in Indonesia include food expenditure, food insecurity, PMT in KEK pregnant women, food insufficiency, level of education, and proper sanitation, the data of which was obtained from the Ministry of Health and BPS. The results of mapping the percentage of stunting show that areas that need to accelerate the reduction of stunting are in the eastern provinces of Indonesia and there is a spatial autocorrelation in the percentage of stunting between provinces in Indonesia. Based on the Spatial Autoregressive (SAR) model, only the education level variable has no significant effect and the percentage of stunting in a province in Indonesia will have a significant positive effect on the percentage of stunting in surrounding provinces.
LOCALIZED DATA FOR EDUCATIONAL EQUITY: SMALL AREA ESTIMATION OF OUT-OF-SCHOOL CHILDREN IN BALI AND NUSA TENGGARA Khairunnisa, Sherina Rafidah; Ubaidillah, Azka; Hidayat, Ahmad Sovi; Septiyana, Alya Nur; Putri, Shalihati Melani; Prananggalih, Ahmad Tegar; Kusuma, Arya Candra; Syahidah, Shafiyah Asy
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/barekengvol19iss2pp1179-1192

Abstract

This study aims to estimate the percentage of out-of-school children aged 7–17 years in Bali and Nusa Tenggara using the Small Area Estimation (SAE) method with a Hierarchical Bayes. One of the main challenges in education policy planning is the limited data available. National surveys, such as the National Socio-Economic Survey (Susenas), typically provide estimates only at the national and provincial levels, while more detailed data at the district level is often lacking. This limitation restricts the understanding of educational disparities at the local level and complicates the design of targeted policies. To address this issue, SAE Hierarchical Bayes provides a solution by producing more accurate district-level estimates, utilizing additional data without the need for new sampling. This method has proven to be cost-effective and efficient, particularly in regions with complex geography, such as Bali and Nusa Tenggara. The findings reveal that districts in East Nusa Tenggara generally exhibit a higher percentage of out-of-school children compared to the national average, indicating significant regional disparities that require attention. These findings highlight the urgency of improving educational infrastructure, particularly in underdeveloped areas of East Nusa Tenggara, to promote equitable access to education and reduce the number of children out of school
Co-Authors Anjarweni, Hanifah Ukti Budiasih Budiasih Hidayat, Ahmad Sovi Khairunnisa, Sherina Rafidah Kusuma, Arya Candra Pramana, Anugerah Surya Prananggalih, Ahmad Tegar Priatmadani, Priatmadani Retno Palupi Septiyana, Alya Nur Syahidah, Shafiyah Asy Ubaidillah, Azka