JSTAR
Vol 4 No 1 (2024): Jurnal Statistika Terapan

PENYEBAB DAN PELUANG ANAK BERUSIA 7-18 TAHUN BERSEKOLAH TEPAT WAKTU DI PROVINSI NUSA TENGGARA TIMUR TAHUN 2023

Josephin Natalia Fanggi (Badan Pusat Statistik Provinsi Nusa Tenggara Timur)



Article Info

Publish Date
29 Jun 2024

Abstract

Every Indonesian citizen is required to enhance their education. The Indonesian government has implemented a policy to extend the compulsory basic education program to 12 years. This extension is considered complete if the Gross Enrollment Rate (GER) for primary schools and equivalent, junior high schools and equivalent, and senior high schools and equivalent reaches 100 percent. However, the GER for primary schools and equivalent is 86.59 percent, for junior high schools and equivalent is 75.54 percent, and for senior high schools and equivalent is 70.52 percent in East Nusa Tenggara Province (NTT) for the 2023/2024 academic year, indicating issues in the expansion of access as it has not reached the 100 percent target. This study uses raw data from the 2023 NTT Susenas KOR. The unit of analysis is children aged 7-18 years. The analytical methods used are Descriptive Analysis, Independence Test (Chi-square Test), and Logistic Regression Analysis. The results of the logistic regression analysis, with a significance level (α) of 5 percent, indicate that the variable influencing children aged 7-12 years to attend school on time is the number of household members. Meanwhile, the variables influencing children aged 13-15 years and 16-18 years to attend school on time are the education level of the head of the household and the child's gender.

Copyrights © 2024






Journal Info

Abbrev

JSTAR

Publisher

Subject

Humanities Computer Science & IT Economics, Econometrics & Finance Social Sciences

Description

Aim: JSTAR studies applied statistics at the regional and national levels of East Nusa Tenggara which are directed to contribute to the government in making regional development policies. JSTAR pays special attention to official and modeling statistics, big data and data mining, and the application ...