Hypertension Drug Sales Pattern in Yogyakarta Through the Tokopedia Platform

Authors

  • Sarah Jesika Piter Faculty of Pharmacy, Universitas Kristen Immanuel, Yogyakarta Indonesia
  • Didiek Hardiyanto Soegiantoro Faculty of Pharmacy, Universitas Kristen Immanuel, Yogyakarta Indonesia
  • Aloysia Yossy Kurniawati Faculty of Pharmacy, Universitas Kristen Immanuel, Yogyakarta Indonesia
  • Ani Kristiyani Faculty of Pharmacy, Universitas Kristen Immanuel, Yogyakarta Indonesia

Keywords:

Tokopedia, Antihypertebsion drug, Online distribution, Yogyakarta

Abstract

Hypertension is a chronic disease with a high prevalence in Indonesia, including the Special Region of Yogyakarta (DIY), so the availability of antihypertensive drugs is crucial. This study aims to examine the sales patterns of antihypertensive drugs through the Tokopedia e-commerce platform in DIY, with a focus on variations in sales volume and types of drugs based on administrative regions and pharmacotherapy classifications. The method used was descriptive quantitative with direct observation on Tokopedia on April 29, 2025, covering five districts/cities: Yogyakarta, Sleman, Bantul, Kulon Progo, and Gunungkidul. The results showed that Sleman Regency recorded 140 boxes and Yogyakarta City recorded the highest sales of 262 boxes, while Bantul recorded 29 boxes and Gunung Kidul 2 boxes while Kulon Progo recorded no sales at all. Generic drugs dominated the sales, especially Calcium Channel Blockers (CCB) with 201 boxes and Angiotensin Receptor Blockers (ARB) with 99 boxes. Meanwhile, branded drugs were mostly found in the ACE Inhibitor group, although in total this group recorded the least number of sales. The conclusions indicate inequality in e-commerce distribution and utilization between districts/cities, as well as public preference for more affordable drugs. Therefore, strategies to equalize access and educate the use of e-commerce in drug distribution are needed, in order to support the equitable and efficient management of hypertension.

References

Alwon, B. M., Solomon, G., Hussain, F., & Wright, D. J. (2015). A detailed analysis of online pharmacy characteristics to inform safe usage by patients. International Journal of Clinical Pharmacy, 37(1), 148–158. https://doi.org/10.1007/S11096-014-0056-1

Candini, N. A., Indrianto, Y. L., Iqromi, D. A., Simanulang, A. J., Pratama, G. R. Y., Ratri, D. R., & Rahmah, S. N. (2023). Analysis of Hypertension Risk Factor in the Community: A Case Study in the Community of Baturetno Village, Dampit District, Malang Regency. Journal of Community Health and Preventive Medicine, 3(1), 9–18. https://doi.org/10.21776/UB.JOCHAPM.2023.003.01.2

Eff, A. R. Y., Hurit, H. E., Rahayu, S. T., & Lena, A. P. (2021). Investigation of Angiotensin-Converting Enzyme Inhibitory Effects of Indonesian Traditional Medicine (Jamu). Tropical Journal of Natural Product Research, 5(4), 692–697. https://doi.org/10.26538/TJNPR/V5I4.17

Finkelstein, E. A., Chay, J., & Bajpai, S. (2014). The Economic Burden of Self-Reported and Undiagnosed Cardiovascular Diseases and Diabetes on Indonesian Households. PLoS ONE, 9(6). https://doi.org/10.1371/JOURNAL.PONE.0099572

Ginting, J. B., & Suci, T. (2023). Analysis of Dominant Risk Factors for Hypertensive Disease. Jurnal Berkala Epidemiologi, 11(3), 231–239. https://doi.org/10.20473/JBE.V11I32023.231-239

Hussain, M. A., al Mamun, A., Reid, C., & Huxley, R. R. (2016). Prevalence, Awareness, Treatment and Control of Hypertension in Indonesian Adults Aged ≥40 Years: Findings from the Indonesia Family Life Survey (IFLS). Plos One, 11(8). https://doi.org/10.1371/JOURNAL.PONE.0160922

Khoe, L. C., Wangge, G., Soewondo, P., Tahapary, D. L., & Widyahening, I. S. (2020). The implementation of community-based diabetes and hypertension management care program in Indonesia. Plos One, 15(1). https://doi.org/10.1371/JOURNAL.PONE.0227806

Lombardo, S., Marino, F., & Cosentino, M. (2019). A nationwide web-based survey of a sample of Italian community pharmacists’ perceptions and opinions about online sales of medicines and falsified drugs. Pharmacy Practice, 17(4). https://doi.org/10.18549/PHARMPRACT.2019.4.1593

Long, C. S., Kumaran, H., Goh, K. W., Bakrin, F. S., Ming, L. C., Rehman, I. U., Dhaliwal, J. S., Hadi, M. A., Sim, Y. W., & Tan, C. S. (2022). Online Pharmacies Selling Prescription Drugs: Systematic Review. Pharmacy, 10(2), 42. https://doi.org/10.3390/PHARMACY10020042

Mackey, T. K., Jarmusch, A. K., Xu, Q., Sun, K., Lu, A., Aguirre, S., Lim, J., Bhakta, S., & Dorrestein, P. C. (2022). Multifactor Quality and Safety Analysis of Antimicrobial Drugs Sold by Online Pharmacies That Do Not Require a Prescription: Multiphase Observational, Content Analysis, and Product Evaluation Study. JMIR Public Health and Surveillance, 8(12). https://doi.org/10.2196/41834

Mashuri, Y. A., Ng, N., & Santosa, A. (2022). Socioeconomic disparities in the burden of hypertension among Indonesian adults - a multilevel analysis. Global Health Action, 15(1). https://doi.org/10.1080/16549716.2022.2129131

Mulyanto, J., Wibowo, Y., Ernawati, D. A., & Lestari, D. W. D. (2024). Assessing inequalities in the hypertension management under national health insurance: Evidence from Southern Central Java, Indonesia. Journal of Public Health and Development, 22(2), 180–192. https://doi.org/10.55131/JPHD/2024/220215

Ozawa, S., Billings, J., Sun, Y., Yu, S., & Penley, B. (2022). COVID-19 Treatments Sold Online Without Prescription Requirements in the United States: Cross-sectional Study Evaluating Availability, Safety and Marketing of Medications. Journal of Medical Internet Research, 24(2). https://doi.org/10.2196/27704

Putri, L. R., Fibriana, A. I., & Azam, M. (2024). Prevalence and Risk Factors of Hypertension Among Young Adults (26-35 Years Old) in Indonesia: Analysis of Secondary Data from Riskesdas 2018. https://doi.org/10.1101/2024.06.10.24308678

Samant, P. (2018). Vigilance for Sale of Drugs through Online Pharmacies. Advancements in Case Studies, 1(3). https://doi.org/10.31031/AICS.2018.01.000511

Sirait, H. S., Said, F. M., & Umar, N. S. (2022). The Effect of Online-based Emotional Freedom Technique on the Blood Pressure during the Covid-19 Pandemic. International Journal of Nursing Information, 1(2), 27–31. https://doi.org/10.58418/IJNI.V1I2.27

Umiatin, U., Ciptarisa, A., Ifa, R. P. N., & Abidin, M. (2024). Automated Digital Sfigmomanometer Prototype Testing. Journal of Physics: Conference Series, 2866(1). https://doi.org/10.1088/1742-6596/2866/1/012055

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Published

2025-06-19

How to Cite

Piter, S. J., Soegiantoro, D. H., Kurniawati, A. Y., & Kristiyani, A. (2025). Hypertension Drug Sales Pattern in Yogyakarta Through the Tokopedia Platform. Jurnal EduHealth, 16(02), 909–918. Retrieved from https://ejournal.seaninstitute.or.id/index.php/healt/article/view/6715

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