IoT-Based Community Smart Health Service Model: Empowering Entrepreneurs in Health Innovation

Dendy Jonas; Hindriyanto Dwi Purnomo; Ade Iriani; Irwan Sembiring; Dedy Prasetya Kristiadi; Zeze Nanle

doi:10.34306/att.v7i1.461

Authors

Dendy Jonas University of Raharja https://orcid.org/0009-0008-7557-9180
Hindriyanto Dwi Purnomo Satya Wacana Christian University https://orcid.org/0000-0001-6728-7868
Ade Iriani Satya Wacana Christian University https://orcid.org/0000-0002-4101-3436
Irwan Sembiring Satya Wacana Christian University https://orcid.org/0000-0002-6625-7533
Dedy Prasetya Kristiadi University of Raharja https://orcid.org/0000-0002-3863-5373
Zeze Nanle Ilearning Incorporation https://orcid.org/0009-0002-0104-1448

DOI:

https://doi.org/10.34306/att.v7i1.461

Keywords:

Health Services, IoT-Based E-Health, Community Health Networks

Abstract

The Indonesian government aims to improve public health by integrating a unified health platform with regional systems for effective decision-making. However, the existing health information system is inadequate for broader decision-making needs, focusing primarily on individuals with existing health issues and not adequately addressing the needs of disaster victims, such as those affected by floods, accidents, and burns. Tangerang City, located in Banten Province, is a flood-prone area that faces annual disasters, highlighting this gap. To address this issue, this study proposes the development of a Health Internet of Things (HIoT) model designed to support rapid decision-making and enhance community health services. The proposed IoT-based network will be implemented in residential complexes, private clinics, schools, and places of worship, enabling real-time monitoring of health conditions and facilitating disaster or pandemic mitigation. Data collected from these communities will be transmitted to nearby hospitals for immediate medical assistance. Preliminary findings suggest that the IoT-based e-health system offers significant benefits, including faster patient care, improved data accuracy, and reduced operational costs. These results underscore the potential of HIoT to enhance community-based health services. The study provides a foundation for future research and practical applications. Further investigation will be conducted to evaluate the scalability of the system in diverse communities and its impact on long-term health outcomes.

References

Pemerintah Kota Tangerang, “Peraturan wali kota tangerang nomor 75 tahun 2022 tentang pembangunan dan pengembangan portal tangerang satu data terintegrasi,” 2022, accessed: 2025-02-06. [Online]. Available: https://maps.tangerangkota.go.id/produkhukum/PERWAL NOMOR 75 TAHUN 2022 TENTANG PEMBANGUNAN DAN PENGEMBANGAN PORTAL TANGERANG SATU DATA TERINTEGRASI.pdf

A. Ruangkanjanases, A. Khan, O. Sivarak, U. Rahardja, and S.-C. Chen, “Modeling the consumers’ flow experience in e-commerce: The integration of ecm and tam with the antecedents of flow experience,” SAGE Open, vol. 14, no. 2, p. 21582440241258595, 2024.

“Rsud kota tangerang beroperasi penuh,” diakses dari https://www.jagadbanten.id/ rsud-kota-tangerang-diminta-beroperasi-penuh/, 2020.

M. H. Kashani, M. Madanipour, M. Nikravan, P. Asghari, and E. Mahdipour, “A systematic review of iot in healthcare: Applications, techniques, and trends,” Journal of Network and Computer Applications, vol. 192, p. 103164, 2021.

M. F. Septianda, D. Kurniawan, and E. Afnira, “Smart people dan smart living: Membangun sumber daya manusia unggul dalam optimalisasi smart city di indonesia,” Jurnal Kebijakan Pembangunan, vol. 19, no. 2, pp. 189–204, 2024.

“Profil kesehatan indonesia 2021,” diakses dari https://www.kemkes.go.id/downloads/resources/download/pusdatin/profil-kesehatan-indonesia/Profil-Kesehatan-2021.pdf, 2021.

F. Sudarto, D. P. Kristiadi, H. L. H. S. Warnars, M. Y. Ricky, and K. Hashimoto, “Developing of indonesian intelligent e-health model,” in 2018 Indonesian Association for Pattern Recognition International Conference (INAPR). IEEE, 2018, pp. 307–314.

“Aid/help needed for victims of natural disasters/humanitarian tragedy,” diakses 29 November 2022 dari https://dinsos.bulelengkab.go.id/informasi/detail/artikel/bantuan-pertolongan-yang-dibutuhkan-korban-bencana-alam-tragedi-kemanusiaan-61, 2022.

“Potential threat of disaster,” diakses 29 November 2022 dari https://www.bnpb.go.id/potensi-ancaman-bencana, 2022.

“Profil kesehatan indonesia 2020,” diakses 27 November 2022 dari https://pusdatin.kemkes.go.id/resources/download/pusdatin/profil-kesehatan-indonesia/Profil-Kesehatan-Indonesia-Tahun-2020.pdf,

E. Ligia, K. Iskandar, I. K. Surajaya, M. Bayasut, O. Jayanagara, and K. Mizuno, “Cultural clash: Investigating how entrepreneural characteristics and culture diffusion affect international interns’ competency,” Aptisi Transactions on Technopreneurship (ATT), vol. 6, no. 2, pp. 182–198, 2024.

E. Mwangi, “Distributed solutions for secure healthcare data exchange: A critical review of privacy and regulations,” Available at SSRN 4709459, 2023.

“Peta jalan sistem informasi kesehatan tahun 2015-2019,” diakses 27 November 2022 dari https://pusdatin.kemkes.go.id/resources/download/pusdatin/lain-lain/PMK-No-97-Th-2015-ttg-Peta-Jalan-Sistem-Informasi-Kesehatan-Tahun-2015-2019.pdf, 2022.

U. Rusilowati, H. R. Ngemba, R. W. Anugrah, A. Fitriani, and E. D. Astuti, “Leveraging ai for superior efficiency in energy use and development of renewable resources such as solar energy, wind, and bioenergy,” International Transactions on Artificial Intelligence, vol. 2, no. 2, pp. 114–120, 2024.

D. P. Kristiadi, M. Hasanudin, and S. Sutrisno, “Mobile application of electronic medical record (emr) systems using near field communication (nfc) technology,” International Journal of Open Information Technologies, vol. 9, no. 10, pp. 68–72, 2021.

Liyakathunisa, A. Alsaeedi, S. Jabeen, and H. Kolivand, “Ambient assisted living framework for elderly care using internet of medical things, smart sensors, and gru deep learning techniques,” Journal of Ambient Intelligence and Smart Environments, vol. 14, no. 1, pp. 5–23, 2022.

C. Meiriza, E. Gustina, and C. Zaman, “The analisis implementasi program indonesia sehat dengan pendekatan keluarga (pis-pk) oleh petugas kesehatan di puskesmas sako,” HEALTH CARE: JURNAL KESEHATAN, vol. 11, no. 2, pp. 467–475, 2022.

A. P. Febrina, H. R. Ngemba, S. Hendra, Y. Anshori, and A. Azizah, “Serli discovery learning dalam mendukung pembelajaran ilmu pengetahuan alam siswa berbasis android: Serli discovery learning in supporting android-based natural science learning for students,” Technomedia Journal, vol. 9, no. 1, pp. 130–142, 2024.

D. P. Kristiadi, M. Hasanudin, and Sutrisno, “Mobile patient application for outpatient,” in Fourth International Conference on Informatics and Computing (ICIC). IEEE, 2019, pp. 1–6.

Kementerian Kesehatan Republik Indonesia, “Pedoman umum pengelolaan posyandu,” 2024, accessed: 2025-02-06. [Online]. Available: https://ayosehat.kemkes.go.id/pedoman-umum-pengelolaan-posyandu

BPJS Ketenagakerjaan, “Peraturan bpjs ketenagakerjaan no. 1 tahun 2024,” 2024, accessed: 2025-02-06. [Online]. Available: https://peraturan.bpk.go.id/Details/288083/peraturan-bpjs-ketenagakerjaan-no-1-tahun-202

Z. Habibi, K. Karimizadeh, A. Nosratpour, and I. Alipourfard, “Enhanced qrs detection and ecg compression using adaptive thresholding: a real-time approach for improved monitoring and diagnosis,” Computers and Electrical Engineering, vol. 119, p. 109528, 2024.

D. P. Kristiadi, H. L. H. S. Warnars, R. Hidayat, and R. Randriatoamanana, “Big data implementation for searching unstructured data pattern as social media pattern from a news website,” Solid State Technology, vol. 63, no. 6, pp. 1277–1289, 2020.

M. Annas, F. A. Ramahdan, T. Handra, A. H. D. Saputra, and H. Jensen, “Application of iot and ai based on esp32cam to support sustainable mobility in smart cities,” Blockchain Frontier Technology (B-Front), vol. 4, no. 2, pp. 121–131, 2025.

D. P. Kristiadi, H. L. H. S. Warnars, and R. Randriatoamanana, “Big data implementation for inventory warehouse systems,” in Indonesian Association for Pattern Recognition International Conference (INAPR). IEEE, 2018, pp. 207–212.

S. A. Hashmi, C. F. Ali, and S. Zafar, “Internet of things and cloud computing-based energy management system for demand side management in smart grid,” International Journal of Energy Research, vol. 45, no. 1, pp. 1007–1022, 2021.

A. H. A. Al-Jumaili, R. C. Muniyandi, M. K. Hasan, J. K. S. Paw, and M. J. Singh, “Big data analytics using cloud computing based frameworks for power management systems: Status, constraints, and future recommendations,” Sensors, vol. 23, no. 6, p. 2952, 2023.

R. Patra, M. Bhattacharya, and S. Mukherjee, “Iot-based computational frameworks in disease prediction and healthcare management: Strategies, challenges, and potential,” IoT in healthcare and ambient assisted living, pp. 17–41, 2021.

D. Jonas, E. Maria, I. R. Widiasari, U. Rahardja, T. Wellem et al., “Design of a tam framework with emotional variables in the acceptance of health-based iot in indonesia,” ADI Journal on Recent Innovation, vol. 5, no. 2, pp. 146–154, 2024.

M. J. Hossain, M. A. Bari, and M. M. Khan, “Development of an iot based health monitoring system for e-health,” in 2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC). IEEE, 2022, pp. 0031–0037.

BPJS Kesehatan, “Bpjs kesehatan indonesia,” 2024, accessed: 2025-02-06. [Online]. Available: https://bpjs-kesehatan.go.id/#/