cover
Contact Name
Anna Islamiyati
Contact Email
jurnalestimasi@unhas.ac.id
Phone
-
Journal Mail Official
jurnalestimasi@unhas.ac.id
Editorial Address
Jl. Perintis Kemerdekaan Km. 10 Tamalanrea Makassar - Indonesia, 90245
Location
Kota makassar,
Sulawesi selatan
INDONESIA
ESTIMASI: Journal of Statistics and Its Application
Published by Universitas Hasanuddin
ISSN : 2721379X     EISSN : 27213803     DOI : http://dx.doi.org/10.20956/ejsa
Core Subject : Education,
ESTIMASI: Journal of Statistics and Its Application, is a journal published by the Department of Statistics, Faculty of Mathematics and Natural Sciences, Hasanuddin University. ESTIMASI is a peer – reviewed journal with the online submission system for the dissemination of statistics and its application. The material can be sourced from the results of research, theoretical, computational development and all fields of science development that are in one group.
Articles 12 Documents
Search results for , issue "Vol. 5, No. 1, Januari, 2024 : Estimasi" : 12 Documents clear
Analysis of Women’s Poverty in Maluku Province Daud, Jumerti; Pulubuhu, Dwia Aries T; Hasniati, Hasniati
ESTIMASI: Journal of Statistics and Its Application Vol. 5, No. 1, Januari, 2024 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v5i1.31236

Abstract

The Sustainable Development Goals (SDGs) aim to end poverty in all its forms everywhere and provide a gender-sensitive policy framework. Limited access to resources causes women to be more vulnerable to poverty and contributes to economic disadvantages, known as the feminization of poverty. Maluku Province is the fourth poorest province in Indonesia by 2022, with a poverty rate of 15.97 percent. The percentage of poor households headed by women is 7.03 percent, an increase of 0.83 percentage points from 2021. This research identifies the relationship between households headed by women and poverty in the Maluku Province. Secondary data were obtained from the National Socioeconomic Survey 2022 by the Central Bureau of Statistics. The sample size included 822 households headed by women. Binary logistic regression analysis was used in this study. The research found that area of residence, number of household members, education level, and employment sector significantly affected women's poverty status in Maluku. Furthermore, women's poverty was higher among rural residents. The findings highlight that the number of household members with family planning programs, better education, and government policies providing assistance for better agriculture can alleviate household poverty.
Pemodelan Data Panel dengan Pendekatan Least Square Dummy Variable terhadap Faktor-Faktor yang Memengaruhi Kasus Kriminalitas di Sulawesi Selatan Nurdin, Afifah Mutiah; Arfan, Muh. Indirwan; Siswanto, Siswanto; Kalondeng, Anisa
ESTIMASI: Journal of Statistics and Its Application Vol. 5, No. 1, Januari, 2024 : Estimasi
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/ejsa.v5i1.32128

Abstract

Crime is one of the challenges that often arises in the community environment. In the years 2020-2022, South Sulawesi ranked fourth with the highest reported crime cases in Indonesia. To avoid an increase in the crime rate, an understanding of the factors impacting these cases is necessary. This research aims to determine the fixed effect model with the Least Square Dummy Variable approach to examine the percentage of the poor population, income inequality, population density, and the total population's influence on crime cases in South Sulawesi during the years 2020-2022. The most suitable model is the Least Square Dummy Variable using an individual effect with an analysis result of  of 99.9%. The variables of the percentage of the poor population, population density, and the total population are proven to significantly influence crime cases in South Sulawesi.

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