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Journal : The Eastasouth Journal of Information System and Computer Science

Blockchain for Monitoring the Safe Supply Chain of Medicines: Reducing the Circulation of Illegal Drugs in Indonesia 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.v2i03.518

Abstract

The pharmaceutical supply chain in Indonesia faces significant challenges, including counterfeit drug infiltration and insufficient traceability. This study explores the application of blockchain technology as a solution to monitor and secure the supply chain, reducing the circulation of illegal drugs. Using a qualitative approach, data were collected from five informants, including experts in blockchain technology, pharmaceutical supply chain management, and regulatory oversight. The findings reveal blockchain’s potential to enhance transparency, accountability, and regulatory compliance through features such as decentralized ledgers and smart contracts. However, challenges such as high implementation costs, technical barriers, and regulatory gaps hinder its adoption. The study concludes with recommendations, including capacity building, collaborative pilot programs, and the development of supportive policies, to facilitate blockchain integration in Indonesia’s pharmaceutical sector.
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

Abstract

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.