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All Journal Prosiding Seminar Nasional Official Statistics Indonesian Journal of Statistics and Its Applications
Sari, Liza Kurnia
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Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Social Sciences Other

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Analisis Spasial Indeks Kedalaman Kemiskinan Tiga Provinsi di Pulau Jawa Tahun 2021 Utama, Kharisma Pandu; Sari, Liza Kurnia
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.v2023i1.1640

Abstract

From 2014-2021, the poverty gap index in Indonesia shows a stagnant trend because poverty alleviation is still not focused on the poverty gap index (P1). Java Island, which is the center of government and economy, still has poverty problems. In 2019-2021 the poverty gap index (P1) for the Provinces of Central Java, Yogyakarta Special Region and East Java is always above the national figure and shows an upward trend. The purpose of this study is to see an overview and find out which variables significantly influence the district/city poverty gap index in the Provinces of Central Java, Yogyakarta Special Region, and East Java by considering spatial effects. The analytical method used is spatial regression with Spatial Error Model (SEM). Based on the results of the study, areas with a high poverty gap index were clustered in the northern region of East Java Province and the western region of Central Java Province. Variables that significantly affect the poverty gap index are GRDP per capita, the percentage of households using their own latrine, and the average length of schooling.
ANALISIS SPASIAL UNTUK MENGIDENTIFIKASI TINGKAT PENGANGGURAN TERBUKA BERDASARKAN KABUPATEN/KOTA DI PULAU JAWA TAHUN 2017 Amalia, Eka; Sari, Liza Kurnia
Indonesian Journal of Statistics and Applications Vol 3 No 3 (2019)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v3i3.240

Abstract

Unemployment is one of the economic problems faced by many countries. In Indonesia, the total workforce has reached 128.06 million and 7.04 million people are unemployed. The indicator to measure unemployment is open unemployment rate (TPT). Java Island becomes the island with the highest TPT, which is 4.04 million people, equivalent to 63.08 percent. The regions that have high TPT rates tend to be in the western region of Java, while the eastern region of Java is moderate. This is an initial allegation of regional influence so spatial analysis needs to be carried out. On the other hand, not many studies have included territorial effects. This study aims to spatially identify the influence of human development index (IPM), labor force particapation rate (TPAK), minimum wage and the dependency ratio on the number of TPT in Java in 2017 with the geographically weighted regression (GWR) method. The results of this study indicate that there are differences in the influence of IPM, TPAK, minimum wage and the dependency ratio on TPT in each area in Java. The most significant independent variables and have a positive relationship are minimum wage. This research also shows that GWR is suitable to be applied in modeling the number of TPT regencies /cities in Java Island in 2017. The results of this study can be used by the government in determining the right policy by looking at regional aspects in overcoming unemployment.
ANALISIS FAKTOR-FAKTOR YANG MEMENGARUHI EKSPLOITASI PEKERJA ANAK DI INDONESIA MENGGUNAKAN REGRESI LOGISTIK BINER Wardana, Lissa Octavia; Sari, Liza Kurnia
Indonesian Journal of Statistics and Applications Vol 4 No 3 (2020)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v4i3.616

Abstract

Every child has human rights to grow and develop as a whole, both physically and mentally. The government prohibits employers from employing children to protect children's rights. In reality, children begin to participate in economic activities as workers. The issue of child labor is very close to exploitation. This research aims to find general facts about exploitation on child laborers and to identify variables that influence exploitation on child laborers in Indonesia in 2018. Data of National Social and Economic Survey (Susenas) in 2018 were analyed through binary logistic regression. The result shows that most of child laborers in 2018 are exploited. Provinces with the highest percentage of child laborers exploitation are DKI Jakarta, Banten, and Central Java. Area of residence, child labor sector, gender of child, and education of household head in the category of junior high school, elementary school, or not graduate from school significantly influence the exploitation of child labor. Child laborers who live in urban areas, male, work in the formal sector, and has a household head who graduate from junior high school or elementary school or doesn’t graduate at all are more likely experience exploitation.
Co-Authors Amalia, Eka Utama, Kharisma Pandu Wardana, Lissa Octavia