Garuda - Garba Rujukan Digital

Social Media as an Early Warning System for Drug Prevention: Case Study of Surabaya's Digital Surveillance Program Ismail, Ismail; Felecia, Felecia; Azizah, Anisa Kurniatul; Rahmawati, Diana
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 03 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i03.519

Social media has emerged as a powerful tool in public health initiatives, including drug prevention efforts. This study examines the role of social media as an early warning system in the Digital Surveillance Program in Surabaya. Using a quantitative approach with a sample of 100 respondents, data was collected through a Likert-scale questionnaire (1–5) and analyzed with Structural Equation Modeling - Partial Least Squares (SEM-PLS). The results reveal that public awareness significantly influences social media engagement and program effectiveness, while social media engagement plays a critical role in enhancing program outcomes. The structural model demonstrates moderate predictive power (R² = 0.53 for program effectiveness), highlighting the importance of integrating public awareness campaigns and social media engagement strategies to optimize drug prevention initiatives. The findings provide actionable insights for policymakers and stakeholders, emphasizing the need for community-centered content creation and data-driven social media strategies to combat drug misuse.

Statistical Learning for Predicting Dengue Fever Rate in Surabaya Halim, Siana; Felecia, Felecia; Octavia, Tanti
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Dengue fever happening most in tropical countries and considered as the fastest spreading mosquito-borne disease which is endemic and estimated to have 96 million cases annually. It is transmitted by Aedes mosquito which infected with a dengue virus. Therefore, predicting the dengue fever rate as become the subject of researches in many tropical countries. Some of them use statistical and machine learning approach to predict the rate of the disease so that the government can prevent that incident. In this study, we explore many models in the statistical learning approaches for predicting the dengue fever rate. We applied several methods in the predictive statistics such as regression, spatial regression, geographically weighted regression and robust geographically weighted regression to predict the dengue fever rate in Surabaya. We then analyse the results, compare them based on the mean square error. Those four models are chosen, to show the global estimator’s approaches, e.g. regression, and the local ones, e.g. geographically weighted regression. The model with the minimum mean square error is regarded as the most suitable model in the statistical learning area for solving the problem. Here, we look at the estimates of the dengue fever rate in the year 2012, to 2017, area, poverty percentage, precipitation, number of rainy days for predicting the dengue fever outbreak in the year 2018. In this study, the pattern of the predicted model can follow the pattern of the true dataset.

Geospatial Mapping and Predictive Analysis for Drug Trafficking Intervention in Eastern Indonesia Ismail, Ismail; Felecia, Felecia; Azizah, Anisa Kurniatul; Rahmawati, Diana
West Science Interdisciplinary Studies Vol. 3 No. 04 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i04.1817

This study explores the application of geospatial mapping and predictive analysis in efforts to combat drug trafficking in Eastern Indonesia—a region characterized by complex geography and limited surveillance infrastructure. Using a qualitative approach, data were collected through in-depth interviews with three key informants: a regional police officer, a representative of the National Narcotics Agency (BNN), and a local community leader. The results reveal four central themes: the current state of drug trafficking in the region, the potential and underutilization of geospatial tools, the lack of predictive analytics at the regional level, and significant challenges such as limited infrastructure, lack of trained personnel, and poor inter-agency coordination. While the use of geospatial and predictive technologies remains nascent, stakeholders express optimism about their potential. The study highlights the need for context-specific strategies, local capacity-building, and multi-stakeholder collaboration to enhance data-driven interventions in narcotics control.

Mobile Application for Drug Abuse Prevention among Teenagers: Effectiveness in Bandung City Ismail, Ismail; Felecia, Felecia; Azizah, Anisa Kurniatul; Rahmawati, Diana
West Science Interdisciplinary Studies Vol. 3 No. 04 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i04.1818

This study explores the effectiveness of a mobile application designed to prevent drug abuse among teenagers in Bandung City using a qualitative approach. The research involved five teenage informants aged 15–18 years who had used the application for at least one month. Data were collected through semi-structured interviews and analyzed using thematic analysis. The findings reveal that the application significantly increased awareness about the dangers of drug use, improved self-confidence in resisting peer pressure, and encouraged the sharing of knowledge within peer groups. Additionally, the app’s interactive and gamified features contributed to a positive learning experience. However, suggestions for improvement included the need for real-time support and more localized content. Overall, the study highlights the potential of mobile technology as an innovative tool in youth-focused drug abuse prevention efforts, especially when designed with user engagement and cultural relevance in mind.

Geospatial Mapping and Predictive Analysis for Drug Trafficking Intervention in Eastern Indonesia Ismail, Ismail; Felecia, Felecia; Azizah, Anisa Kurniatul; Rahmawati, Diana
West Science Interdisciplinary Studies Vol. 3 No. 04 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i04.1817

This study explores the application of geospatial mapping and predictive analysis in efforts to combat drug trafficking in Eastern Indonesia—a region characterized by complex geography and limited surveillance infrastructure. Using a qualitative approach, data were collected through in-depth interviews with three key informants: a regional police officer, a representative of the National Narcotics Agency (BNN), and a local community leader. The results reveal four central themes: the current state of drug trafficking in the region, the potential and underutilization of geospatial tools, the lack of predictive analytics at the regional level, and significant challenges such as limited infrastructure, lack of trained personnel, and poor inter-agency coordination. While the use of geospatial and predictive technologies remains nascent, stakeholders express optimism about their potential. The study highlights the need for context-specific strategies, local capacity-building, and multi-stakeholder collaboration to enhance data-driven interventions in narcotics control.

Mobile Application for Drug Abuse Prevention among Teenagers: Effectiveness in Bandung City Ismail, Ismail; Felecia, Felecia; Azizah, Anisa Kurniatul; Rahmawati, Diana
West Science Interdisciplinary Studies Vol. 3 No. 04 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i04.1818

This study explores the effectiveness of a mobile application designed to prevent drug abuse among teenagers in Bandung City using a qualitative approach. The research involved five teenage informants aged 15–18 years who had used the application for at least one month. Data were collected through semi-structured interviews and analyzed using thematic analysis. The findings reveal that the application significantly increased awareness about the dangers of drug use, improved self-confidence in resisting peer pressure, and encouraged the sharing of knowledge within peer groups. Additionally, the app’s interactive and gamified features contributed to a positive learning experience. However, suggestions for improvement included the need for real-time support and more localized content. Overall, the study highlights the potential of mobile technology as an innovative tool in youth-focused drug abuse prevention efforts, especially when designed with user engagement and cultural relevance in mind.

Integrating Smart Monitoring Systems in Urban Drug Abuse Prevention: A Case Study in Jakarta Ismail, Ismail; Felecia, Felecia; Azizah, Anisa Kurniatul; Rahmawati, Diana
West Science Social and Humanities Studies Vol. 3 No. 04 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i04.1819

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.

Community-Based Digital Interventions to Combat Drug Abuse in Rural Areas: A Pilot Study in Central Java Ismail, Ismail; Felecia, Felecia; Azizah, Anisa Kurniatul; Rahmawati, Diana
West Science Social and Humanities Studies Vol. 3 No. 04 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i04.1820

Illegal drug addiction remains a significant public health issue in rural areas, which has limited access to prevention and treatment services. This current research examines the possible of community-level digital interventions as a solution for rural drug abuse issues in rural Central Java. Using a qualitative design, the data were collected from in-depth interviews with six key informants like community leaders, health professionals, a digital literacy expert, and a former drug user. Thematic analysis identified that although digital interventions like online counseling, social media campaigns, and mobile apps have the potential for contribution, their success is hindered by low digital literacy, restricted internet access, cultural stigma, and lack of trust in digital platforms. The results underscore the need for community involvement, hybrid intervention models (blending online and offline) and localized content production to improve digital drug prevention efforts. The study concludes that for digital interventions to be effective in rural communities, they must be developed based on local socio-cultural contexts and integrated with existing community support systems.

Smart Village Initiative for Drug-Free Communities: A Technology-Based Approach in West Java Ismail, Ismail; Felecia, Felecia; Azizah, Anisa Kurniatul; Rahmawati, Diana
West Science Information System and Technology Vol. 3 No. 01 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i01.1821

The Smart Village Initiative in West Java leverages technology to combat drug-related issues and foster drug-free communities. This study employs a quantitative analysis with 150 respondents using a Likert scale (1–5), analyzed via Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings reveal that technological interventions significantly enhance drug prevention outcomes and community engagement, with community engagement mediating the relationship between technology and outcomes. The results demonstrate the initiative's effectiveness in promoting awareness, participation, and safety within communities. These findings underscore the potential of integrating technology and community-driven approaches to address complex social issues, offering a scalable model for other regions. Future research should explore long-term impacts and adaptations for diverse contexts.

Cyber Patrol and AI-Based Investigations to Disrupt Online Drug Transactions in Indonesia Ismail, Ismail; Felecia, Felecia; Azizah, Anisa Kurniatul; Rahmawati, Diana
West Science Information System and Technology Vol. 3 No. 01 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i01.1822

The rise of online drug transactions in Indonesia presents significant challenges for law enforcement due to the anonymity and rapid communication enabled by digital platforms. This study explores the use of cyber patrols and artificial intelligence (AI) in combating these illicit activities, employing a qualitative approach with interviews from four key informants: a cybercrime police officer, a cybersecurity expert, a policy analyst, and an academic. The findings reveal that while cyber patrols serve as an essential tool in identifying and disrupting drug trafficking activities, their effectiveness is often limited by technological and operational constraints. AI emerges as a transformative solution, enabling advanced data analysis and predictive capabilities, though its implementation faces hurdles such as legal ambiguity and resource limitations. The study concludes with actionable recommendations, including increased investment in technology, capacity building, regulatory reforms, and fostering public-private and international collaborations. These strategies are crucial for strengthening Indonesia’s capacity to combat online drug trafficking and ensure a safer digital ecosystem.

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