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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Terapan Abdimas JOURNAL OF APPLIED INFORMATICS AND COMPUTING Abdimas UNWAHAS : Jurnal Pengabdian Masyarakat UNWAHAS Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam Jurnal Desain dan Analisis Teknologi Bulletin of Social Informatics Theory and Application
Dwi Ely Kurniawan
Politeknik Negeri Batam
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences Other

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Development of an IoT-Based Smart Cane with Non-Invasive Health Monitoring for Elderly Care in Batam Putera, Dimas Akmarul; Adi, Roni; Kurniawan, Dwi Ely; Leman, Abdul Mutalib; Raynold, Raynold
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.11107

Abstract

The rapid growth of the elderly population requires assistive technologies that support mobility, health, and safety. This study presents the development of an IoT-based smart cane designed to enhance elderly independence and health monitoring in Batam, Indonesia. The prototype integrates non-invasive health sensors (MAX30102 for heart rate and SpO₂, MLX90614 for temperature, and a non-invasive glucose sensor), a GPS module, a mini-CCTV with two-way audio, and a solar-powered energy system, all controlled by an ESP32 microcontroller connected to the Blynk IoT platform. Ergonomic design was guided by anthropometric data of Indonesian elderly to ensure user comfort and usability. Experimental results demonstrated stable performance of the integrated modules. Heart rate values ranged from 86–103 BPM (mean 89.5 ± 6.2 BPM), blood glucose estimations from 110–112 mg/dL (mean 111 ± 0.9 mg/dL), and body temperature from 36.9–37.1 °C (mean 37.0 ± 0.1 °C), all of which aligned closely with clinical references. Oxygen saturation readings, however, averaged 89 ± 0.8%, slightly below the clinical norm (≥95%), highlighting the need for sensor calibration. Dynamic testing of the GPS module across a 500-meter route achieved positional accuracy within 3–5 meters, while the CCTV system successfully streamed live video but was dependent on WiFi stability.The novelty of this research lies in the unique combination of locally adapted ergonomic design, multi-sensor non-invasive health monitoring, two-way visual and audio communication, GPS tracking, and renewable energy integration within a single portable device. These contributions not only enrich IoT-based healthcare research but also provide practical solutions tailored to elderly care in Indonesia. Future work will focus on clinical-grade validation of sensors, extended field trials, and the integration of predictive analytics using Machine Learning and Fuzzy Logic.
Co-Authors Adi, Roni Adian Fatchur Rohim Afdhol Dzikri, Afdhol Arnomo, Sasa Ani Budi Arif Dermawan Dimas Akmarul Putera Dzikri , Afdhol Fadila, Aminudin Herman, Nanna Suryana Iqbal Maulana Jaman, Jajam Haerul John Friadi Kusworo Adi Leman, Abdul Mutalib Marselina, Sonia Narupi Narupi, Narupi Permatasari, Ismi Aprilianti Raynold, Raynold Resda, Dodi Prima Thohari, Ahmad Hamim Vonega, Defangga Aby