Integrating Smart Monitoring Systems in Urban Drug Abuse Prevention: A Case Study in Jakarta
DOI:
https://doi.org/10.58812/wsshs.v3i04.1819Keywords:
Smart Monitoring System, Drug Abuse Prevention, Urban Surveillance, Technology Integration, JakartaAbstract
Drug abuse remains a severe issue in urbanized cities, particularly in Jakarta, where illegal drug trafficking is common despite preventive actions. With this study, the implementation of a Smart Monitoring System (SMS) as an innovative technology to enhance drug abuse prevention is investigated. As a qualitative study, five key informants from law enforcement, policymakers, public health professionals, technologists, and community leaders were interviewed. The findings identify three major benefits of SMS: real-time tracking, improved integration of information, and increased public participation. However, several challenges such as privacy concerns, technological limitations, and resistance from stakeholders need to be addressed to enable an effective rollout. The study recommends the establishment of clear legislative regulations, infrastructure investment, public education campaigns, and inter-agency cooperation for the optimal utilization of SMS in Jakarta. These findings contribute to the technology-based crime prevention literature and provide pragmatic policy lessons for urban drug control policy.
References
[1] J. D. Gordon and D. D. Gordon, “Drug abuse in Indonesia: An increasing problem during the economic crisis,” dalam Indones. Cris. A Hum. Dev. Perspect. ed. A. Ananta, ISEAS Press. Singapore, h, pp. 362–381, 2003.
[2] S. Aisyah, H. Widyaningsih, I. Harsono, D. Anurogo, and S. Andarmoyo, “The Influence of Economic Factors, Access to Health Services, and Social Support on Drug Abuse Prevention and Treatment Efforts in Urban Communities in East Java,” West Sci. Soc. Humanit. Stud., vol. 2, no. 1, pp. 86–95, 2024.
[3] W. Noviana and F. N. Isti’adah, “Gap Strategi Pencegahan Penyalahgunaan Obat: Studi Kasus Wilayah yang Minim Peran BNN dan BK,” J. Bintang Pendidik. Indones., vol. 3, no. 1, pp. 180–190, 2025.
[4] D. L. L. H. N. Kusumawardhani, “Progressive step of narcotic abuse eradication in globalization era,” in Proceeding the 2017 International Conference on Globalization of Law and Local Wisdom, 2017.
[5] M. G. Vadav, N. Rajasekhar, E. S. Reddy, M. S. Vishal, and G. Vishal, “The Role of Machine Learning in Crime Analysis and Prediction,” in 2024 International Conference on Expert Clouds and Applications (ICOECA), IEEE, 2024, pp. 885–890.
[6] R. Jain, A. Chilambuchelvan, M. S. Kumar, S. Ambigaipriya, M. Rafeeq, and K. Sengottaiyan, “Predictive Policing in Urban Environments Using Random Forest Framework for Safer Smart Cities,” in 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2024, pp. 1–5.
[7] O. Lunhol and P. Torhalo, “Artificial Intelligence in Law Enforcement: Current State and Development Prospects,” pp. 120–124, 2024, doi: 10.55295/psl.2024.ii12.
[8] L. Kahla, N. Gayflor, and A. Mishra, “Leveraging Artificial Intelligence for Crime Detection and Prevention,” vol. 8, pp. 1–6, May 2024.
[9] Z. R. Hasrian, W. Purbaningsih, and S. A. D. Trusda, “Gambaran Penatalaksanaan dan Karakteristik Pasien Penyalahgunaan Narkoba di Rumah Sakit Ketergantungan Obat Jakarta Periode 2017-2021,” in Bandung Conference Series: Medical Science, 2024.
[10] R. Rigoni, S. Woods, and J. J. Breeksema, “From opiates to methamphetamine: building new harm reduction responses in Jakarta, Indonesia,” Harm Reduct. J., vol. 16, pp. 1–13, 2019.
[11] T. Hartini and P. L. Samputra, “Analisis faktor penyebab rendahnya keikutsertaan penyalahguna narkotika dalam program rehabbilitasi di Wilayah DKI Jakarta,” J. Ilm. Ilmu Kesehat. Vol, vol. 9, no. 3, pp. 502–518, 2021.
[12] D. Ompad and C. Fuller, “The Urban Environment, Drug Use, and Health,” in Handbook of Urban Health, 2005, pp. 127–154. doi: 10.1007/0-387-25822-1_7.
[13] D. Bastiar, “Penegakan Hukum Terhadap Penyalahgunaan Dan Pencegahan Pengguna Narkotika Di Indonesia,” J. Rechtens, vol. 8, no. 2, pp. 209–222, 2019.
[14] E. Naryono, “THE WAR AGAINST DRUGS IN INDONESIA,” Center for Open Science, 2023.
[15] Y. A. Wijaya and K. A. K. Dewi, “Analysis Of Drug Trends And Problems Through The Program For Prevention, Eradication, Abuse, And Circulation Of Illegal Drugs (P4gn)”.
[16] S. Simiwijaya, “KERJA SAMA BADAN NARKOTIKA NASIONAL DENGAN UNITED NATIONS OFFICE ON DRUGS AND CRIME DALAM MENANGGULANGI PENYALAHGUNAAN NARKOTIKA DI INDONESIA [COOPERATION OF THE NATIONAL NARCOTICS AGENCY WITH THE UNITED NATIONS OFFICE ON DRUGS AND CRIME IN TACKLING NARCOTICS ABUSE IN INDONESIA],” Verit. J. Ilm. Hub. Int. (International Relations Journal), vol. 11, no. 21, pp. 34–43, 2020.
[17] R. Srikusuma, A. Siringoringo, and A. Saleh, “Tindak Pidana Penyalahgunaan Narkotika Di Masyarakat (Studi Kasus Putusan Nomor: 2022/Pid. Sus/2021/PN. Mdn),” Lex Lectio Law J., vol. 2, no. 1, pp. 10–19, 2023.
[18] S. Brayne, A. Rosenblat, and D. Boyd, “Predictive policing,” Data Civ. Rights A New Era Polic. Justice, pp. 1027–2015, 2015.
[19] M. E. N. Soto, Y. Riega-Virú, and J. C. O. Lara, “Technology and crime prevention: A systematic review of literature,” in 2021 fifth world conference on smart trends in systems security and sustainability (WorldS4), IEEE, 2021, pp. 275–283.
[20] P. Ugwudike, “25 years of technology use in policing,” Int. J. Police Sci. Manag., vol. 26, no. 4, pp. 478–486, 2024.
[21] M. Rafin Sayeed, M. Samin Safayat Islam, M. Anam, M. A. I. Siddique, and M. Abir Alam, “Revolutionizing Smart Town Surveillance Systems: A Framework for Implementing Drone-Based IoT and AI Technologies,” in International Conference on Big Data, IoT and Machine Learning, Springer, 2023, pp. 991–1005.
[22] E. Mbunge et al., “Towards Data-Driven Artificial Intelligence Models for Monitoring, Modelling and Predicting Illicit Substance Use,” in Proceedings of the Computational Methods in Systems and Software, Springer, 2023, pp. 361–379.
[23] D. R. Hermanus, S. H. Supangkat, F. Hidayat, and Y. Indrianti, “Smart Guard Towns: Multi-Drone Systems with Deep Learning for Situational Awareness in Urban Management and Security,” in 2023 10th International Conference on ICT for Smart Society (ICISS), IEEE, 2023, pp. 1–6.
[24] N. La Vigne, S. Lowry, A. Dwyer, and J. Markman, “Using Public Surveillance Systems for Crime Control and Prevention: A Practical Guide for Law Enforcement and Their Municipal Partners,” Sep. 2011.
[25] T. Arikuma and Y. Mochizuki, “Intelligent multimedia surveillance system for safer cities,” APSIPA Trans. Signal Inf. Process., vol. 5, p. e3, 2016.
[26] M. R. Hilmy, M. F. Khusairy, and F. S. Karunia, “SILABA (DRUGS REPORTING INFORMATION SYSTEM) IS AN INTEGRATED INNOVATION SMART CONTROL ROOM TO OPTIMIZE DRUGS ERADICATION IN INDONESIA,” Temat. Technol. Manag. Informatics Res. Journals, vol. 6, no. 1, pp. 47–56, 2024.
[27] A. P. Sigit and A. Torrido, “SINERGI POLISI DAN MASYARAKAT DALAM MEMBANGUN KETAHANAN REMAJA TERHADAP NARKOBA DAN JUDI ONLINE,” The Juris, vol. 8, no. 2, pp. 435–444, 2024.
[28] H. Hu et al., “Drugtracker: A community-focused drug abuse monitoring and supporting system using social media and geospatial data (demo paper),” in Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019, pp. 564–567.
[29] S. Brayne and A. Christin, “Technologies of crime prediction: The reception of algorithms in policing and criminal courts,” Soc. Probl., vol. 68, no. 3, pp. 608–624, 2021.
[30] A. Hambali, N. Mappaselleng, and S. Wata, “Law Enforcement Against Drug Abusers Through Medical Rehabilitation and Social Rehabilitation,” Int. J. Relig., vol. 5, pp. 5226–5240, Aug. 2024, doi: 10.61707/ravxc229.
[31] S. Mital and M. O’Brien, “From Silos to Synergy: Public Health and Public Safety Collaborations to Reduce Drug Overdose,” Journal of Public Health Management and Practice, vol. 28, no. Supplement 6. LWW, pp. S271–S272, 2022.
[32] K. Diriba and E. Whitlock, “Deflection to harm reduction: Public health and public safety collaborative responses to the overdose epidemic in the United States,” J. Public Heal. Manag. Pract., vol. 28, no. 3, pp. 321–323, 2022.
[33] G. Plimmer, J. Kuntz, E. Berman, S. Malinen, K. Näswall, and E. Franken, “The negative relationships between employee resilience and ambiguity, complexity, and inter‐agency collaboration,” Aust. J. Public Adm., vol. 82, no. 2, pp. 248–270, 2023.
[34] S. Hean, B. Johnsen, A. Kajamaa, and L. Kloetzer, Improving interagency collaboration, innovation and learning in criminal justice systems: Supporting offender rehabilitation. Springer Nature, 2021.
[35] D. Kumwenda, M. Tembo, C. Mphande, V. Nundwe, and T. A. Chazema, “Digital Mystery: Enhanced Active Citizens’ Participation Through Information Communications Technology in Community Policing,” Int. J., vol. 10, no. 2, pp. 4062–4073, 2023.
[36] D. Weisburd, D. B. Wilson, C. Gill, K. Kuen, and T. Zastrow, “Are we underestimating the crime prevention outcomes of community policing? The importance of crime reporting sensitivity bias,” J. Law Empir. Anal., vol. 1, no. 1, p. 2755323X241233469, 2024.
[37] O. Awoyemi, R. U. Attah, J. O. Basiru, and I. M. Leghemo, “A community-policing innovation model to build sustainable trust and effectively reduce crime in urban areas,” Int. J. Multidiscip. Res. Growth Eval., vol. 6, no. 1, pp. 848–853, 2025.
[38] K. Spiller and X. D. L’Hoiry, “Watch groups, surveillance and doing it for themselves,” Surveill. Soc., vol. 17, no. 3/4, pp. 288–304, 2019.
[39] D. Basimanyane, “The regulatory dilemma on mass communications surveillance and the digital right to privacy in Africa: The case of South Africa,” African J. Int. Comp. Law, vol. 30, no. 3, pp. 361–382, 2022.
[40] G. Paché, “The Nexus of Logistics and Social Control: Mass Surveillance in the Digital Era,” Int. J. Bus. Adm., vol. 15, no. 4, pp. 1–11, 2024.
[41] P. Königs, “Introduction to the Special Issue on the Ethics of State Mass Surveillance,” Moral Philos. Polit., vol. 7, no. 1, pp. 1–8, 2020.
[42] R. T. Sarre, “The use of surveillance technologies by law enforcement agencies: what are the trends, opportunities and threats?,” Curr. Probl. Penal Law Criminol. Bialystok, Pol. Temida Publ. House, pp. 755–767, 2014.
[43] J. Barrington, O. Wereko-Brobby, P. Ward, W. Mwafongo, and S. Kungulwe, “SMS for Life: a pilot project to improve anti-malarial drug supply management in rural Tanzania using standard technology,” Malar. J., vol. 9, pp. 1–9, 2010.
[44] I. Mokhtar, S. Majid, and S. Foo, “Information literacy education: Applications of mediated learning and multiple intelligences,” Libr. Inf. Sci. Res., vol. 30, pp. 195–206, Sep. 2008, doi: 10.1016/j.lisr.2007.12.004.
[45] S. V. Ayarekar, P. B. Pawar, R. V. Mahadik, S. Desai, A. K. Yesugade, and P. D. Chopade, “Utilization of Information Technology in Public Health Management: Trends and Challenges,” South East. Eur. J. Public Heal., vol. 23, no. Xxiii, pp. 90–103, 2024, doi: 10.52710/seejph.490.
[46] B. E. Dixon and S. J. Grannis, “Public health informatics infrastructure,” in Public health informatics and information systems, Springer, 2013, pp. 69–88.
[47] C. Déglise, L. S. Suggs, and P. Odermatt, “SMS for disease control in developing countries: a systematic review of mobile health applications,” J. Telemed. Telecare, vol. 18, no. 5, pp. 273–281, 2012.
[48] K. A. Schildt, S. Beaumaster, and S. Bailey, “Organization antecedents of successful IT management,” in Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS’06), IEEE, 2006, pp. 74c-74c.
[49] J. M. Modise, “The Role of Leadership Training in Developing Effective Police Supervisors,” Int. J. Innov. Sci. Res. Technol., pp. 3128–3144, 2024.
[50] P. Feng, “The Impact of Police Education on Technological Innovation within Law Enforcement Agencies,” Int. J. Res. Innov. Soc. Sci., vol. 8, no. 3s, pp. 3558–3572, 2024.
[51] V. Andreescu and D. Kim, “Drivers of police agencies’ resistance to body-worn camera adoption,” Int. J. Police Sci. Manag., vol. 24, no. 4, pp. 437–452, 2022.
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