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All Journal Jurnal Matematika Sains dan Teknologi Prosiding Seminar Nasional Official Statistics
Liza Kurnia Sari
Politeknik Statistika STIS
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Social Sciences Other

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Variabel-variabel yang Memengaruhi Ketuntasan Wajib Belajar di Provinsi Papua Tahun 2020 Nurul Aulia Rahmi; Liza Kurnia Sari
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (356.317 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1285

Abstract

In Indonesia, there are still several provinces with low educational attainment, one of which is Papua Province. It is known that the rate of continuing to high school/equivalent in Papua is still below the national figure. In addition, the average length of schooling in Papua Province ranks last in Indonesia. This study aims to analyze the variables that affect the 12-year compulsory education completeness in Papua Province in 2020 using Susenas March 2020 data. The research method uses binary logistic regression analysis. The results showed that 43.6 percent of the population aged 18-24 years in Papua Province had completed 12 years of compulsory education. Compulsory education completeness is more likely to occur in people aged 18-24 years who live in urban areas, have male household heads, have household heads with high school education/equivalent, reside in households with less than or equal to 4 household members, have KIP and reside in a household with per capita expenditure above the poverty line.
Determinan Eksploitasi Pekerja Anak Sektor Informal dari Sisi Jam Kerja di Indonesia Tahun 2021 Wahyuni Wahyuni; Liza Kurnia Sari
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.09 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1319

Abstract

Children have the right to receive protection and fulfillment of physical and spiritual needs, but some children are forced to work, which makes children vulnerable to exploitation. The percentage of child laborers who are exploited by working hours has continued to increase from 2018 to 2020. The informal sector is the most chosen sector by child labor, but the informal sector does not have contracts and social protection to increase the opportunities for child labor to be exploited. This study aims to determine the general description, the variables that influence, and the tendency to exploit child labor in the informal sector by working hours in Indonesia. Susenas 2021 data were analyzed using binary logistic regression. The region classification, age of head of household, education of the head of household, and gender of children significantly affect child labor exploitation in the informal sector by working hours.
Application of Firth’s Logistic Regression in Analyzing Employment Status of Educated Women in Riau Kayla Azka Dhiya Tsabithah; Liza Kurnia Sari
Jurnal Matematika Sains dan Teknologi Vol. 26 No. 2 (2025)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v26i2.13672.2025

Abstract

The ongoing demographic bonus in Indonesia provides a strategic opportunity to promote inclusive development. To optimize this potential, the involvement of educated women is crucial and not just rely on the contribution of men. However, the women’s Labor Force Participation Rate (LFPR) has remained stagnant over the past two decades and gender inequality in employment persists to this day. Riau Province requires the most attention, as in the last three years it has recorded the lowest women’s LFPR nationally. Interestingly, data show that the proportion of educated women who are employed is actually lower than that of less educated women. This study applies Firth’s logistic regression to analyse the employment status of educated women in Riau Province in 2024. The method is employed to reduce estimation bias that may arise from data imbalance. The results indicate that ICT use, age, marital status, and place of residence have significant effects. These findings can support the development of more effective strategies to increase the employment status of educated women, particularly by strengthening ICT access and considering sociodemographic characteristics.
Co-Authors Kayla Azka Dhiya Tsabithah Nurul Aulia Rahmi Siti Helmyati