Fitri Isnaini(1*), Narwawi Pramudhiarta(2),

(1) Badan Narkotika Nasional
(*) Corresponding Author


Drug abuse is a problem that affects almost every country in the world including Indonesia. In the long term, it has the potential to disrupt competitiveness, weaken national resilience, and can hinder the progress of a nation. North Sumatra is a province that has the highest prevalence of drug abusers in Indonesia,  which none of the villages in this Province is free from drug abuse. The North Sumatera Province also has the highest number of drug abusers undergoing rehabilitation at the BNN Rehabilitation Center. The use of geospatial technology can help understand the phenomenon of drug abuse by area or spatial. One of the geospatial technology that commonly uses is the Geographic Information System (GIS). This study aims to show that GIS can be used in mapping drug-prone areas in North Sumatra based on North Sumatran people undergoing drug rehabilitation. The method used is a retrospective based on secondary data and spatial statistics in GIS. The environment prone to drug abuse based on the number of people undergoing drug rehabilitation at the BNN Rehabilitation Center from North Sumatra is divided into 3 zones based on the number of clients distributed in BNN Rehabilitation Center, namely red, yellow and green. Red zone 3 cities/districts namely Deli Serdang, Medan, and Binjai with 9 sub-districts namely Percut Sei Tuan, Medan Amplas, Medan Helvetia, Medan Tembung, Medan Perjuangan, Binjai Utara, Medan Sunggal, Medan Johor, Medan Timur. The yellow area has 25 districts, the green area is 103 districts. In a conclusion, the Geographic Information System (GIS) is a technology that can be used to map drug-prone areas.

Full Text:



BNN. (2015). Laporan Kinerja Badan Narkotika Nasional Tahun 2014. BNN.

BNN. (2019a). Indonesia Drug Report 2019. Puslidatin BNN.

BNN. (2019b). Uji Publik-Survei Nasional Penyalahgunaan Narkoba di 34 Provnsi. BNN.Go.Id.

Boulos, M. N. K. (2004). Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom. International Journal of Health Geographics, 3(1), 1–50.

Carroll, L. N., Au, A. P., Detwiler, L. T., Fu, T., Painter, I. S., & Abernethy, N. F. (2014). Visualization and analytics tools for infectious disease epidemiology: A systematic review. Journal of Biomedical Informatics, 51, 287–298.

Darandri, N. (2019). Analisis Spasial Sebaran Daerah Rawan Penyalahgunaan Narkoba Di Kota Medan.

ESRI. (2016). GIS Solutions for Urban and Regional Planning Designing and Mapping the Future of Your Community with GIS. Esri.Com.

Fazillah, A., Juahir, H., Toriman, E., Mohamad, N., & Mohamad, M. (2018). Combating substance abuse with the potential of geographic information system combining multivariate analysis. Journal of Fundamental and Applied Sciences.

Hasan, I. (2012). Pokok-Pokok Materi Metodologi Penelitian dan Aplikasinya. Ghalia Indonesia.

Hess, D. R. (2004). Retrospective studies and chart reviews. Respiratory Care, 49(10), 1171–1174.

Isnaini, F., Nitibaskara, T. B. R., & Usman, W. (2018). Spatial analysis on the impact of socioeconomic vulnerability to drug abuse prevalence in Indonesia 2015. IOP Conference Series: Earth and Environmental Science, 179, 012005.

Kemenristek RI. (2013). Modul 3: Analisis Spasial. In Pelatihan Open Sources Software Geodatabase, Web Servis, dan GIS (Model Spasial Open Platform).

Kennedy, L. W., Caplan, J. M., Piza, E. L., & Buccine-Schraeder, H. (2016). Vulnerability and Exposure to Crime: Applying Risk Terrain Modeling to the Study of Assault in Chicago. Applied Spatial Analysis and Policy, 9(4), 529–548.

Mendoza, N. S., Conrow, L., Baldwin, A., & Booth, J. (2013). Using Gis To Describe Risk And Neighborhood-Level Factors Associated With Substance Abuse Treatment Outcomes. Journal of Community Psychology, 41(7).

Mennis, J., Stahler, G., & Mason, M. (2016). Risky Substance Use Environments and Addiction: A New Frontier for Environmental Justice Research. International Journal of Environmental Research and Public Health, 13(6), 607.

Pereira, S. M., Ambrosano, G. M. B., Cortellazzi, K. L., Tagliaferro, E. P. S., Vettorazzi, C. A., Ferraz, S. F. B., Meneghim, M. C., & Pereira, A. C. (2010). Geographic Information Systems (GIS) in Assessing Dental Health. International Journal of Environmental Research and Public Health, 7(5), 2423–2436.

Powell, J. T., & Sweeting, M. J. (2015). Retrospective Studies. European Society for Vascular Surgery, 50(5), 675.

Sadahiro, Y. (2006). Course #716-26 Advanced Urban Analysis E. Lecture Title: Chapter 6 Spatial Analysis .Associate professor of the Department of Urban.Engineering. University of Tokyo. Ua.t.u-Tokyo.Ac.Jp.

Sanders, L. J., Aguilar, G. D., & Bacon, C. J. (2013). A spatial analysis of the geographic distribution of musculoskeletal and general practice healthcare clinics in Auckland, New Zealand. Applied Geography, 44, 69–78.

Sandi, A. (2016). Narkoba dari Tapal Batas Negara. Mujahidin Press Bandung.

Silver, N. (2012). The Signal and the Noise: Why So Many Predictions Fail but Some Don’t. Penguin.

Srivastava, A., Nagpal, B. N., Joshi, P. L., Paliwal, J. C., & Dash, A. P. (2009). Identification of malaria hot spots for focused intervention in tribal state of India: A GIS based approach. International Journal of Health Geographics.

Usman. (2003). Daya Tahan Bangsa. Program Studi Pengkajian Ketahanan Nasional Program Pascasarjana Universitas in Indonesia.

Walgito, B. (2010). Pengantar Psikologi Umum. Andi Offset.


Journal Terindex di Garuda

Office Address:
Lembaga Penelitian dan Pengabdian Kepada Masyarakat
Republic of Indonesia Defense University
Jl. Salemba Raya No.14, Paseban,Jakarta Pusat, Daerah Khusus Ibukota Jakarta 10440, Indonesia

Lisensi Creative Commons
Jurnal Pertahanan: Media Informasi tentang Kajian dan Strategi Pertahanan yang Mengedepankan Identity, Nasionalism dan Integrity is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.