Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Sains & Teknologi Lingkungan Prosiding Seminar Nasional Official Statistics
Kurniasari, Agustin
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Pendeteksian dan Determinan Overfishing di Indonesia: Penerapan Analisis Klaster dan Regresi Logistik Biner Johan, Muhammad Fazlan; Zareka, Andi Muh. Zulfadhil; Kesumawijaya, Anak Agung Istri Anggita; Kurniasari, Agustin; Maharani, Jessica; Putri, Nimas Ayu Eka
Seminar Nasional Official Statistics Vol 2024 No 1 (2024): Seminar Nasional Official Statistics 2024
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2024i1.2096

Abstract

Overfishing causes a decline in fish stocks, imbalance in marine ecosystems, and economic losses for the fisheries sector. This study aims to obtain a model that is able to detect overfishing in various provinces in Indonesia using a combination of cluster analysis and logistic regression. The data used in this research is secondary data obtained from the Central Statistics Agency (BPS) and the Indonesian Ministry of Maritime Affairs and Fisheries (KKP) which includes information related to marine fish production in Indonesia in 2022. From the study conducted, it was found that the provincial data are classified into two clusters where the second cluster was classified as overfished provinces. Based on the analysis carried out, the best model for modeling overfishing is a logistic regression model with two predictor variables, which are exports and fish consumption rates. Thus, it is hoped that this research can serve as a guide for the government in formulating sustainable policies to reduce the number of overfishing in Indonesia in the following years.
Pengaruh Mobilitas Penduduk dan Indikator Sosial Ekonomi terhadap Emisi Karbon di Indonesia Tahun 2020–2022: indonesia Kurniasari, Agustin; Sakina, Dara; Zaldi, Muhammad Afif Wirdiyan; Kurniawan, Robert
Jurnal Sains & Teknologi Lingkungan Vol. 18 No. 1 (2026): SAINS & TEKNOLOGI LINGKUNGAN
Publisher : Teknik Lingkungan Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jstl.vol18.iss1.art2

Abstract

Indonesia is one of the world's largest contributors to carbon emissions, primarily from the fossil-fueled land transportation sector. The COVID-19 pandemic demonstrated that a reduction in mobility could significantly decrease emissions, especially in densely populated areas with suboptimal public transportation systems. In addition, inequality in population distribution and differences in socioeconomic characteristics between regions lead to environmental pressures that vary across Indonesia. This study aims to analyze the impact of population mobility and socio-economic indicators on carbon monoxide (CO) emissions in Indonesia during the unique pandemic period of 2020-2022. The method used is the Random Effect Model for panel data regression. The results show that mobility to workplaces and stores, economic growth, and poverty levels have a significant negative effect on emissions. Conversely, mobility in residential areas and population density have a significant positive effect. The variables of mobility to transit stations and Foreign Direct Investment (FDI) were found to be not significant. These findings point to the need for low-emission transportation and household energy efficiency policies that are responsive to mobility dynamics and socio-economic characteristics of the community.
Co-Authors Johan, Muhammad Fazlan Kesumawijaya, Anak Agung Istri Anggita Maharani, Jessica Putri, Nimas Ayu Eka Robert Kurniawan, Robert Sakina, Dara Zaldi, Muhammad Afif Wirdiyan Zareka, Andi Muh. Zulfadhil