Dari Fragmentasi Menuju Integrasi: Strategi Big Data untuk Manajemen Penyakit Kronis pada Jamaah Haji Indonesia – Scoping Review
DOI:
https://doi.org/10.55606/juisik.v6i1.1720Keywords:
Big Data, Chronic Disease, Hajj, Health Resilience, UmrahAbstract
Hajj and Umrah, as forms of large-scale international mass worship, present significant health risks, particularly for elderly pilgrims and individuals with chronic diseases. As the world’s largest contributor of pilgrims, Indonesia faces complex health challenges, especially due to the high prevalence of non-communicable diseases such as diabetes, hypertension, and cardiovascular conditions. These circumstances necessitate more comprehensive, integrated, and data-driven health management strategies. This scoping review aims to systematically explore the utilization of big data technology in improving chronic disease management and strengthening the health resilience of Indonesian pilgrims during the Hajj and Umrah pilgrimage. The review was conducted using the methodological framework of Arksey and O’Malley and reported in accordance with the PRISMA-ScR guidelines. A systematic literature search identified several relevant studies addressing the application of big data in pilgrim health systems. The findings reveal major challenges, including fragmented health information systems, limited use of predictive analytics, and gaps in longitudinal data analysis and ethical governance of health data. It is concluded that big data has substantial transformative potential in enhancing the quality of healthcare services and health protection for pilgrims. Therefore, future efforts should focus on integrating national electronic medical record systems such as SatuSehat, strengthening ethical frameworks, and enhancing cross-sectoral collaboration to optimally safeguard the health of Indonesian pilgrims during the pilgrimage.
References
Ahmedani, M. Y., Tayeb, K. A., & Yousuf, S. (2024). Diabetes and Hajj. In BIDE’s diabetes desk book (pp. 385–395). Elsevier. https://doi.org/10.1016/B978-0-443-22106-4.00030-9
Al Masud, S. M. R., & Ahmed Ali, G. (2019). WMNs enabled WBANs system for pilgrims’ health monitoring at overcrowded environments during Hajj: A feasibility study. International Journal of Engineering & Technology, 7(4), 5178–5187. https://doi.org/10.14419/ijet.v7i4.22270
Al Shimemeri, A. (2012). Cardiovascular disease in Hajj pilgrims. Journal of the Saudi Heart Association, 24(2), 123–127. https://doi.org/10.1016/j.jsha.2012.02.004
Aldossari, M., Aljoudi, A., & Celentano, D. (2019). Health issues in the Hajj pilgrimage: A literature review. Eastern Mediterranean Health Journal, 25(10), 744–753. https://doi.org/10.26719/2019.25.10.744
Alotaibi, B. M., Yezli, S., Bin Saeed, A.-A. A., Turkestani, A., Alawam, A. H., & Bieh, K. L. (2017). Strengthening health security at the Hajj mass gatherings: Characteristics of the infectious disease surveillance systems operational during the 2015 Hajj. Journal of Travel Medicine, 24(3), taw087. https://doi.org/10.1093/jtm/taw087
Alqahtani, A. S., Tashani, M., Heywood, A. E., Almohammed, A. B. S., Booy, R., Wiley, K. E., & Rashid, H. (2020). Tracking Australian Hajj pilgrims’ health behavior before, during and after Hajj, and the effective use of preventive measures in reducing Hajj-related illness: A cohort study. Pharmacy, 8(2), 78. https://doi.org/10.3390/pharmacy8020078
Alquayt, A., Aljuhani, O., Alharthi, A. F., Alqahtani, R., Khan, A., Al-Jedai, A., Almoeen, A., Alshennawi, M., Badreldin, H. A., Aljouie, A., Alnasser, L. A., Alshehri, A. M., Alzahrani, M. Y., Alhaidal, H. A., Alhajaji, R., Alotaibi, S., Redhwan, E. Z., Alharthi, F., Alghamdi, B. G., & Al Sulaiman, K. (2025). AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): Task force insights and future directions. BMC Health Services Research, 25(1), 876. https://doi.org/10.1186/s12913-025-13045-5
Bhardwaj, N., Wodajo, B., Spano, A., Neal, S., & Coustasse, A. (2018). The impact of big data on chronic disease management. The Health Care Manager, 37(1), 90–98. https://doi.org/10.1097/HCM.0000000000000194
Gowa, M. A., Ammar, S. A., Ali, A., Kazmi, S. M. K., Farrukh, R., Ali, A. A. M., & Mustahsan, S. M. (2015). Health issues confronting Muslims on Hajj. International Journal of Endorsing Health Science Research, 3(2), 16–17. https://doi.org/10.29052/IJEHSR.v3.i2.2015.16-17
Kawasi, A., Sujatnika, D. A., & Tabrani, M. D. (2024). Haji dan kesehatan masyarakat: Mengatasi tantangan pencegahan dan pengelolaan penyakit menular. Dedikasi: Jurnal Pengabdian Masyarakat, 17(1), 29–56. https://doi.org/10.32678/dedikasi.v17i1.11028
Kolivand, P., Saberian, P., Saffari, H., Doroudi, T., Marashi, A., Behzadifar, M., Karimi, F., Rajaei, S., Raei, B., Ehsanzadeh, S. J., Parvari, A., & Azari, S. (2024). Patterns of diabetes mellitus by age, sex, and province among Iranian Hajj pilgrims and health care delivery during 2012–2022: A retrospective study of 469,581 participants. PLOS ONE, 19(10), e0311399. https://doi.org/10.1371/journal.pone.0311399
Lami, F., Amiri, M., Majeed, Y., Barr, K. M., Al Nsour, M., & Khader, Y. S. (2021). Real-time surveillance of infectious diseases, injuries, and chronic conditions during the 2018 Iraq Arba’een mass gathering. Health Security, 19(3), 280–287. https://doi.org/10.1089/hs.2020.0074
Lin, R., Ye, Z., Wang, H., & Wu, B. (2018). Chronic diseases and health monitoring big data: A survey. IEEE Reviews in Biomedical Engineering, 11, 275–288. https://doi.org/10.1109/RBME.2018.2829704
Masud, S. M. R. A., Bakar, A. A., & Yussof, S. (2018). A systematic review of technological issues in monitoring pilgrims’ health during Hajj: Current state, challenges, and future directions. Journal of Medical Systems, 96(7), 1935–1950.*
Masud, S. M. R. A., Bakar, A. A., & Yussof, S. (2018). Towards developing a MAC protocol for outer-WBAN communication for pilgrims’ health monitoring during Hajj: A feasibility study. International Journal of Engineering & Technology, 7(3), 1263. https://doi.org/10.14419/ijet.v7i3.13412
Nafea, I. (2016). Utilizing big data analysis for disease prevention and control during Hajj. In 2016 2nd International Conference on Open and Big Data (OBD) (pp. 52–56). IEEE. https://doi.org/10.1109/OBD.2016.15
Pawar, R. D., Potdar, A. B., Potdar, V. D., Powar, A. S., & Maishale, M. U. J. (2023). Pilgrim health monitoring and location tracking. International Research Journal of Modernization in Engineering Technology and Science. https://doi.org/10.56726/IRJMETS46952
Reshi, I. A., & Sholla, S. (2024). Remote healthcare monitoring of Hajj pilgrims utilizing blockchain-based IoT. In 2024 1st International Conference on Logistics (ICL) (pp. 1–5). IEEE. https://doi.org/10.1109/ICL62932.2024.10788578
Shambour, M. K., & Gutub, A. (2022). Progress of IoT research technologies and applications serving Hajj and Umrah. Arabian Journal for Science and Engineering, 47(2), 1253–1273. https://doi.org/10.1007/s13369-021-05838-7
Yezli, S., Mushi, A., Almuzaini, Y., Balkhi, B., Yassin, Y., & Khan, A. (2021). Prevalence of diabetes and hypertension among Hajj pilgrims: A systematic review. Journal of Epidemiology and Global Health, 11(3), 267–276.*
Yilmaz, F. T., Sabanciogullari, S., & Karabey, G. (2019). The effect of Hajj pilgrimage on treatment compliance in individuals with chronic diseases. Journal of Religion and Health, 58(2), 599–611. https://doi.org/10.1007/s10943-018-0601-7
Yousuf, S., & Ahmedani, M. Y. (2024). Features and frequency of complications among pilgrims with diabetes during Hajj. Journal of Diabetology, 15(2), 217–221. https://doi.org/10.4103/jod.jod_111_23
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