LOCALIZED DATA FOR EDUCATIONAL EQUITY: SMALL AREA ESTIMATION OF OUT-OF-SCHOOL CHILDREN IN BALI AND NUSA TENGGARA
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...
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| Format: | Article |
| Language: | English |
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Universitas Pattimura
2025-04-01
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| Series: | Barekeng |
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/15437 |
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| author | Sherina Rafidah Khairunnisa Azka Ubaidillah Ahmad Sovi Hidayat Alya Nur Septiyana Shalihati Melani Putri Ahmad Tegar Prananggalih Arya Candra Kusuma Shafiyah Asy Syahidah |
| author_facet | Sherina Rafidah Khairunnisa Azka Ubaidillah Ahmad Sovi Hidayat Alya Nur Septiyana Shalihati Melani Putri Ahmad Tegar Prananggalih Arya Candra Kusuma Shafiyah Asy Syahidah |
| author_sort | Sherina Rafidah Khairunnisa |
| collection | DOAJ |
| description | 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 |
| format | Article |
| id | doaj-art-c636a40cd41549719436df4de93b4331 |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-c636a40cd41549719436df4de93b43312025-08-20T03:41:56ZengUniversitas PattimuraBarekeng1978-72272615-30172025-04-011921179119210.30598/barekengvol19iss2pp1179-119215437LOCALIZED DATA FOR EDUCATIONAL EQUITY: SMALL AREA ESTIMATION OF OUT-OF-SCHOOL CHILDREN IN BALI AND NUSA TENGGARASherina Rafidah Khairunnisa0Azka Ubaidillah1Ahmad Sovi Hidayat2Alya Nur Septiyana3Shalihati Melani Putri4Ahmad Tegar Prananggalih5Arya Candra Kusuma6Shafiyah Asy Syahidah7Bappeda, Banyuwangi Regency Government, IndonesiaDepartment of Applied Statistics, Politeknik Statistika STIS, IndonesiaBPS Kaimana Regency, BPS – Statistic Indonesia, IndonesiaBPS Sulawesi Barat Province, BPS – Statistic Indonesia, IndonesiaBPS Sleman Regency, BPS – Statistic Indonesia, IndonesiaBPS Kepulauan Aru Regency, BPS – Statistic Indonesia, IndonesiaDirectorate of Food Crops, Horticulture, and Plantation Statistics, BPS - Statistics Indonesia, IndonesiaDirectorate of Social Welfare Statistics, BPS - Statistics Indonesia, IndonesiaThis 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 schoolhttps://ojs3.unpatti.ac.id/index.php/barekeng/article/view/15437hierarchical bayesout-of-school childrensmall area estimation |
| spellingShingle | Sherina Rafidah Khairunnisa Azka Ubaidillah Ahmad Sovi Hidayat Alya Nur Septiyana Shalihati Melani Putri Ahmad Tegar Prananggalih Arya Candra Kusuma Shafiyah Asy Syahidah LOCALIZED DATA FOR EDUCATIONAL EQUITY: SMALL AREA ESTIMATION OF OUT-OF-SCHOOL CHILDREN IN BALI AND NUSA TENGGARA Barekeng hierarchical bayes out-of-school children small area estimation |
| title | LOCALIZED DATA FOR EDUCATIONAL EQUITY: SMALL AREA ESTIMATION OF OUT-OF-SCHOOL CHILDREN IN BALI AND NUSA TENGGARA |
| title_full | LOCALIZED DATA FOR EDUCATIONAL EQUITY: SMALL AREA ESTIMATION OF OUT-OF-SCHOOL CHILDREN IN BALI AND NUSA TENGGARA |
| title_fullStr | LOCALIZED DATA FOR EDUCATIONAL EQUITY: SMALL AREA ESTIMATION OF OUT-OF-SCHOOL CHILDREN IN BALI AND NUSA TENGGARA |
| title_full_unstemmed | LOCALIZED DATA FOR EDUCATIONAL EQUITY: SMALL AREA ESTIMATION OF OUT-OF-SCHOOL CHILDREN IN BALI AND NUSA TENGGARA |
| title_short | LOCALIZED DATA FOR EDUCATIONAL EQUITY: SMALL AREA ESTIMATION OF OUT-OF-SCHOOL CHILDREN IN BALI AND NUSA TENGGARA |
| title_sort | localized data for educational equity small area estimation of out of school children in bali and nusa tenggara |
| topic | hierarchical bayes out-of-school children small area estimation |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/15437 |
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