ANALYSIS OF FACTORS INFLUENCING DRUG ABUSE CASES USING MODELS GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) IN INDONESIA

Endah Nurfebriyanti; Hamidah Nasution; Hendra Cipta

doi:10.30829/zero.v6i2.14917

ANALYSIS OF FACTORS INFLUENCING DRUG ABUSE CASES USING MODELS GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) IN INDONESIA

Endah Nurfebriyanti, Hamidah Nasution, Hendra Cipta

Abstract

The number of drug abuse cases in Indonesia from 2015-2020 tends to fluctuate. Factors influencing drug abuse cases in each region are thought to vary according to geographical location. This geographic effect is known as spatial heterogeneity. Spatial heterogeneity was analyzed usingGeographically Weighted Regression(GWR). This study aims to model the factors that influence drug abuse in every province in Indonesia, namely Economic Situation (X1), Association/Environment (X2), Convenience (X3) and Lack of Supervision (X4) using a Gaussian kernel. The results showed that the GWR with the Gaussian kernel is better at estimating the model because it has a higher value, namely R^2 with 90.94% and the AIC value equals 598.798979. Factors that significantly affect the number of cases of drug abuse in Indonesia are Economic Conditions, Association/Environment, Convenience and Lack of Supervision.

Keywords

Drug Abuse; Spatial Heterogeneity; Geographically Weighted Regression; Gaussian Kernel

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References

Anshori, Muslich. 2017. Quantitative Research Methodology. Surabaya: Airlangga University Press

Ardianti, D., Pramoedyo, H., & Nurjannah, N. 2021. Distance weight of GWR-Kriging model for stunting cases in East Java. In Journal of Physics: Conference Series (Vol. 1968, No. 1, p. 012028). IOP Publishing.

Cakra, Rezzy Eko and Hasbi Yasin. 2017. Geographically Weighted Regression (GWR) A Geographical Regression Approach. Yogyakarta: Mobius

Central Bureau of Statistics. 202 0 . Criminal Statistics 2020 . Jakarta : BPS RI

Edayu, ZN, & Syerrina, Z. 2018. A statistical analysis for geographical weighted regression. In IOP Conference Series: Earth and Environmental Science (Vol. 169, No. 1, p. 012105)

Feng, X. 2017. Research on spatial correlation between air quality and land use based on GWR Models. Nature Environment and Pollution Technology, 16(1), 155.

Fotheringham, A. Stewart, Chris Brunsdon and Martin Chalton. 2002. Geographically Weighted Regression The Analysis of Spatial Variation Relationships. USA : John Wiley

Inayah, Ulfa rest. 2020. Geographically Weighted Logistic Regression Model with Function Bisquare Adaptive Weighting . Samarinda : Mulawarman University

Li, Yange, et al. 2020. Spatial proximity-based geographically weighted regression model for landslide susceptibility assessment: a case study of Qingchuan area. China : Applied Sciences 10.3 : 1107.

Liu, J., Yang, Y., Xu, S., Zhao, Y., Wang, Y., & Zhang, F. 2016. A geographically temporally weighted regression approach with travel distance for house price estimation. Entropy, 18(8), 303.

National Narcotics Agency. 2020. Indonesia Drugs Report 2020. Jakarta: BNN

Ristea, A., Kounadi, O., & Leitner, M. 2018. Geosocial Media Data as Predictors in a GWR Application to Forecast Crime Hotspots (Short Paper). In 10th International Conference on Geographic Information Science : Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.

Soemartojo, SM, Ghaisani, RD, Siswantining, T., Shahab, MR, & Ariyanto, MM 2018. Parameter estimation of geographically weighted regression (GWR) model using weighted least square and its application. In AIP Conference Proceedings (Vol. 2014, No. 1, p. 020081)

Yusuf, Dessy WS, et al. 2020. Geographically Weighted Regression ( GWR) Modeling on the Percentage of Crime in East Java Province in 2017. Journal of Statistics. 4(1) : 156-163

DOI: http://dx.doi.org/10.30829/zero.v6i2.14917

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Department of Mathematics
Faculty of Science and Technology
Universitas Islam Negeri Sumatera Utara Medan

Email: mtk.saintek@uinsu.ac.id

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