Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Indonesian Journal of Applied Statistics PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS
Andrian Dwi Putra
Politeknik Statistika STIS
Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science

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

Found 2 Documents
Search

 1 
Faktor-Faktor yang Memengaruhi Tingkat Kriminalitas di Indonesia Tahun 2018 Andrian Dwi Putra; Gracilia Stevi Martha; Muhammad Fikram; Risni Julaeni Yuhan
Indonesian Journal of Applied Statistics Vol 3, No 2 (2020)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v3i2.41917

Abstract

Crime still often occurs easily in daily life in Indonesia. This study aims to determine factors that influence the level of crime in Indonesia in 2018 and the magnitude of the influence of each factor. The data used in this study are secondary data obtained from the Statistics Indonesia (BPS). The method used in this study is path analysis, and the variables used are population, education, unemployment rate, poverty rate, and crime. As a result, population and poverty influenced crime while education influenced poverty significantly.Keywords: crime, path coefficient, path analysis
Spatial-Temporal Analysis of Deforestation in Sumatera Island 2011-2019 Andrian Dwi Putra; Siskarossa Ika Oktora
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2021 No. 1 (2021): Proceedings of 2021 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2021i1.202

Abstract

The existence of forests is threatened with deforestation, which can affect climate disturbances and environmental decay. This study aims to analyze determinants of deforestation in Sumatera Island from 2011-2019. The dependent variable is deforestation, and the independent variables are population density, land fires, road length, GDP of agricultural, fisheries, and forestry, and GDP of mining and excavation. The results show that there is spatial-temporal heterogeneity in deforestation in Sumatera Island from 2011-2019. Furthermore, because of the normality violation, the Robust Geographically and Temporally Weighted Regression (RGTWR) method is used. Analysis shows variables affecting deforestation in Sumatera Island vary in each province and change annually. Land fires were always significant in every province and every year from 2011-2019. To overcome deforestation, the governments need to consider the varying causes of deforestation, more firmly to forestry regulation and establish cooperation with local communities in managing forest.
Co-Authors Gracilia Stevi Martha Muhammad Fikram Risni Julaeni Yuhan Siskarossa Ika Oktora