Development of Health Kiosk Prototype for Blood Pressure and Fat Mass Measurement

Authors

  • Umiatin Umiatin Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Jakarta, 13220, Indonesia Author
  • Pinkan Amanda Putri Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Jakarta, 13220, Indonesia Author
  • Ahmad Zatnika Purwalaksana Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Negeri Jakarta, Jakarta, 13220, Indonesia Author
  • Firnas Al Farizy Department of Electronic Engineering, Faculty of Engineering, Universitas Negeri Jakarta, Jakarta, 13220, Indonesia Author
  • Muhammad Nurdin Department of Electronic Engineering, Faculty of Engineering, Universitas Negeri Jakarta, Jakarta, 13220, Indonesia Author
  • Bedy Purnama Center of Excellence Artificial Intelligence for Learning and Optimization, Universitas Telkom, Bandung, 40257, Indonesia Author
  • Rista Putri Nur Ifa Frenmed Inovasi Bangsa, Jakarta, 16413, Indonesia Author
  • Muhammad Abidin Frenmed Inovasi Bangsa, Jakarta, 16413, Indonesia Author

DOI:

https://doi.org/10.35895/jpsi.1.2.76-86.2025

Keywords:

Blood pressure; fat mass; pressure sensor; bioimpedance; Arduino

Abstract

Health development in Indonesia faces a double burden of disease, namely infectious and non-communicable diseases (NCDs), with cardiovascular diseases (CVDs) accounting for nearly half of NCD-related deaths. Major CVD risk factors are hypertension and obesity, which can be controlled through routine monitoring of blood pressure and body mass index (BMI). This study aims to develop a health kiosk prototype integrating a sphygmomanometer and BMI–fat analyzer. The research consists of three stages: characterization of sensors for blood pressure and body fat measurement, comparison of proximity sensors, and prototype testing. The MPX5050GP pressure sensor achieved an R² of 1 with a sensitivity of 0.012 volts. Proximity sensor characterization showed R² values of 0.9996 (HC-SR04) and 0.9997 (JSN-SR04T), with sensitivities of 0.9943 cm and 0.9831 cm, respectively. The load cell reached an R² of 1 with a sensitivity of 1.0056 kg, while the AD5933 impedance showed R² = 1 and a sensitivity of 0.9999 Ω. Prototype trials with ten samples indicated that blood pressure, BMI, and fat mass measurements were feasible but not yet optimal, with errors in height measurement and limitations in the blood pressure algorithm. Despite these challenges, the successful integration of the sphygmomanometer and BMI–fat analyzer was achieved.

References

Aldaciptarisa, A., Umiatin, U., & Suhendar, H. (2024). Karakterisasi Sensor Mpx5050gp Pada Perancangan Prototipe Sfigmomanometer Digital Full Automatic Berbasis Mikrokontroler. Prosiding Seminar Nasional Fisika (E-Journal), 12, 57–62. https://doi.org/10.21009/03.1201.FA09

Alzahrani, M. S., Albishi, A. H., Alfaifi, A. E., Alzahrani, A. M., Aldoosary, R. I., Alshabeeb, S. Y., Alammar, A. A., Alalrashidi, B. M., Zoqeei, E. M., & Kofiyah, O. A. (2024). Vital signs role and significance in detecting early cardiac events. International Journal of Community Medicine and Public Health, 11(1), 419–423. https://doi.org/10.18203/2394-6040.ijcmph20233847

Arifin, H., Chou, K.-R., Ibrahim, K., Fitri, S. U. R., Pradipta, R. O., Rias, Y. A., Sitorus, N., Wiratama, B. S., Setiawan, A., Setyowati, S., Kuswanto, H., Mediarti, D., Rosnani, R., Sulistini, R., & Pahria, T. (2022). Analysis of Modifiable, Non-Modifiable, and Physiological Risk Factors of Non-Communicable Diseases in Indonesia: Evidence from the 2018 Indonesian Basic Health Research. Journal of Multidisciplinary Healthcare, 15, 2203–2221. https://doi.org/10.2147/JMDH.S382191

Budreviciute, A., Damiati, S., Sabir, D. K., Onder, K., Schuller-Goetzburg, P., Plakys, G., Katileviciute, A., Khoja, S., & Kodzius, R. (2020). Management and Prevention Strategies for Non-communicable Diseases (NCDs) and Their Risk Factors. Frontiers in Public Health, 8, 574111. https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2020.574111

Carter, J. L., Abdullah, N., Bragg, F., Murad, N. A. A., Taylor, H., Fong, C. S., Lacey, B., Sherliker, P., Karpe, F., Mustafa, N., Lewington, S., & Jamal, R. (2023). Body composition and risk factors for cardiovascular disease in global multi-ethnic populations. International Journal of Obesity, 47(9), 855–864. https://doi.org/10.1038/s41366-023-01339-9

Gaździńska, A., Gaździński, S., Jagielski, P., & Kler, P. (2023). Body Composition and Cardiovascular Risk: A Study of Polish Military Flying Personnel. Metabolites, 13(10), 1102. https://doi.org/10.3390/metabo13101102

Kristanti, D., Rahajeng, E., Sulistiowati, E., Kusumawardani, N., & Dany, F. (2021). Determinants of diabetes comorbidities in Indonesia: A cohort study of non-communicable disease risk factor. Universa Medicina, 40(1), 3-13. https://doi.org/10.18051/UnivMed.2021.v40.3-13

Luciani, G., Ramilli, R., Romani, A., Tartagni, M., Traverso, P. A., & Crescentini, M. (2019). A miniaturized low-power vector impedance analyser for accurate multi-parameter measurement. Measurement, 144, 388–401. https://doi.org/10.1016/j.measurement.2019.05.003

Mahdur, R. R., & Sulistiadi, W. (2020). Evaluasi Program Pos Pembinaan Terpadu Penyakit Tidak Menular (Posbindu PTM). Jurnal Ilmiah Kesehatan Masyarakat: Media Komunikasi Komunitas Kesehatan Masyarakat, 12(1), 43-48. https://doi.org/10.52022/jikm.v12i1.55

Nugraheni, R., Chintya, R., & Cahyono, T. (2022). Evaluasi Pelaksanaan Program Posbindu PTM di Puskesmas Kota Wilayah Utara Kota Kediri. Jurnal Penelitian Kesehatan “SUARA FORIKES” (Journal of Health Research “Forikes Voice”), 13(1), 83-87. httpnus://doi.org/10.33846/sf13115

Prabandari, F., Sumarni, & Astuti, D. P. (2023). Faktor-Faktor yang Berpengaruh Terhadap Pemanfaatan Posbindu PTM. Indonesian Journal of Midwifery (IJM), 6(1), 46-54. https://doi.org/10.35473/ijm.v6i1.2254

Roth, G. A., Mensah, G. A., Johnson, C. O., Addolorato, G., Ammirati, E., Baddour, L. M., Barengo, N. C., Beaton, A. Z., Benjamin, E. J., Benziger, C. P., Bonny, A., Brauer, M., Brodmann, M., Cahill, T. J., Carapetis, J., Catapano, A. L., Chugh, S. S., Cooper, L. T., Coresh, J., … GBD-NHLBI-JACC Global Burden of Cardiovascular Diseases Writing Group. (2020). Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update from the GBD 2019 Study. Journal of the American College of Cardiology, 76(25), 2982–3021. https://doi.org/10.1016/j.jacc.2020.11.010

Sheibani, H., Saberi-Karimian, M., Esmaily, H., Mouhebati, M., Azarpazhooh, M. R., Divbands, G., Kabirian, M., Ghaffarian, R., Tayefi, M., Ferns, G. A., Safarian, M., & Ghayour-Mobarhan, M. (2020). A comparison of body mass index and body fat percentage for predicting cardiovascular disease risk. Translational Metabolic Syndrome Research, 3, 29–34. https://doi.org/10.1016/j.tmsr.2020.06.001

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

Umiatin, U., Indrasari, W., Taryudi, T., & Dendi, A. F. (2022). Development of a Multisensor-Based Non-Contact Anthropometric System for Early Stunting Detection. Journal of Sensor and Actuator Networks, 11(4), 69. https://doi.org/10.3390/jsan11040069

Wang, W., Yan, Y., Guo, Z., Hou, H., Garcia, M., Tan, X., Anto, E. O., Mahara, G., Zheng, Y., Li, B., Kang, T., Zhong, Z., Wang, Y., Guo, X., Golubnitschaja, O., & On Behalf of Suboptimal Health Study Consortium and European Association for Predictive, P. and P. M. (2021). All around suboptimal health—A joint position paper of the Suboptimal Health Study Consortium and European Association for Predictive, Preventive and Personalised Medicine. EPMA Journal, 12(4), 403–433. https://doi.org/10.1007/s13167-021-00253-2

Wiranata, Y., & Inayah, I. (2020). Perbandingan Penghitungan Massa Tubuh Dengan Menggunakan Metode Indeks Massa Tubuh (IMT) dan Bioelectrical Impedance Analysis (BIA). Jurnal Manajemen Kesehatan Yayasan RS.Dr. Soetomo, 6(1), 43–52. https://doi.org/10.29241/jmk.v6i1.280

Wirawati, M. K., & Widyaningsih, T. S. (2022). Optimalisasi Posbindu PTM dalam Pencegahan Penyakit Tidak Menular di Wilayah Kelurahan Tambak Aji Ngaliyan Semarang. Jurnal Peduli Masyarakat, 4(1), 109-114. https://doi.org/10.37287/jpm.v4i1.989

Yuliana, A. D., & Sancoko, S. D. (2023). Digitalisasi Pelayanan Pos Pembinaan Terpadu Berbasis Android Untuk Peningkatan Kualitas Kesehatan Masyarakat. Simpatik: Jurnal Sistem Informasi Dan Informatika, 3(2), 135-143. https://doi.org/10.31294/simpatik.v3i2.2858

Yunia, G. F., wiranta& Wahyono, B. (2021). Program Pengendalian Penyakit Tidak Menular Berbasis Posbindu di Puskesmas. Indonesian Journal of Public Health and Nutrition, 1(3), 590-599. https://doi.org/10.15294/ijphn.v1i3.51428

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Published

2025-10-10

How to Cite

Development of Health Kiosk Prototype for Blood Pressure and Fat Mass Measurement. (2025). Journal of the Physical Society of Indonesia, 1(2), 76-86. https://doi.org/10.35895/jpsi.1.2.76-86.2025

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