Article Per Year (5 Year)
p-Index From 2020 - 2025
4.447
P-Index
This Author published in this journals
All Journal E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan J Statistika: Jurnal Ilmiah Teori dan Aplikasi Statistika Journal of Dedicators Community Variance : Journal of Statistics and Its Applications Vygotsky: Jurnal Pendidikan Matematika dan Matematika EDUTEC : Journal of Education And Technology jurnal ilmiah hospitality Discovery : Jurnal Ilmu Pengetahuan Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Statistika dan Aplikasinya Journal of Mathematics Education and Science Mafaza : Jurnal Pengabdian Masyarakat Digital Transformation Technology (Digitech) Jurnal Statistika dan Komputasi (STATKOM) AL-UMRON: Jurnal Pengabdian kepada Masyarakat Jurnal Informatika Polinema (JIP)
Kartini, Alif Yuanita
Universitas Nadhatul Ulama Sunan Giri
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 31 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Variance : Journal of Statistics and Its Applications

 1 
MODELING THE NUMBER OF POOR POPULATION IN EAST JAVA USING QUANTILE REGRESSION Kartini, Alif Yuanita; Huda, Tisa Dwi Julianti; Budiani, Jauhara Rana
VARIANCE: Journal of Statistics and Its Applications Vol 7 No 1 (2025): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol7iss1page105-112

Abstract

The economic development of East Java continues to increase every year. However, this increase is not directly proportional to a significant decrease in poverty rates. Therefore, research is needed to determine the factors influencing poverty in East Java. This is important because it can be used as a consideration for the East Java Provincial Government in designing strategies to reduce poverty. In the case of the number of poor people in East Java, there are outlier data, so the quantile regression method is used to overcome this. This study uses several quantile values, namely 0.25, 0.50 and 0.75. Based on the results of the quantile regression parameter estimation, one significant category at all quantile levels is the Average Length of Schooling variable. From the quantile regression model, four categories of Poor Population are obtained: low, medium, high, and very high. Based on the classification of the Poor Population in East Java in 2023, there are four districts/cities with a low number of poor people, 18 districts/cities with a moderate number of poor people, and 16 districts/cities with a high number of poor people.
Co-Authors Abdul Manaf Jamiluddin Ahmad Tauchid Ali Hamdan Arifat, Muhammad Ayuni, Intan Sri Barata, Mula Bintari Anggi Dwi Sugiarti Denny Nurdiansyah Devy Wulandari Dewi Niswatul Fithriyah Dinda Intan Pramesti Edi Setyanto Hamidatun Nihayah Huda, Tisa Dwi Julianti Ifa Afiana Irsyada, Rahmat Jauhara Rana Budiani, Jauhara Rana Khoirina, Jami’atul Khoirul Wafa Laelatul Nur Ummah Lathifah, Nur Aisyatul M Teguh Deddy Winarko Miftahul Janah Miftahul Janah, Miftahul Moch Nur Faizin Mochamad Nizar Palefi Ma’ady Muhammad Ishlahuddin Nilna Himawati Ningtiyas, Putri Ayu Nita Cahyani Nur Mahmudah Priadana, Benny Widya Puji Aning Nur Nadhifah Putri Utami, Putri Saeful Anwar Sri Rahayu Sufiandi, Enrico Ummi Agustin Yuliana Winarko, M Teguh Deddy Yogi Prana Izza Yunita Dwi Setyoningsih Zakki Alawi