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Rancang Bangun Alat Pendeteksi Detak Jantung dan Saturasi Oksigen dalam Darah Berbasis Arduino MEGA 2560: Array Muchamad Adwin Nurahman; Antonius Irianto Sukowati; Alona Situmeang
Jurnal Ilmiah Komputasi Vol. 20 No. 1 (2021): Jurnal Ilmiah Komputasi Volume: 20 No. 1, Maret 2021
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.20.1.2691

Abstract

Detak jantung dan saturasi oksigen dalam darah yang normal membantu darah dalam mengangkut oksigen ke seluruh tubuh sehingga kinerja jantung tidak mudah kelelahan. Normalnya, kecepatan detak jantung orang dewasa saat beristirahat berkisar 60 - 100 kali per menit dan saturasi oksigen nya diatas 90%. Maka dari itu dibuatlah alat ini untuk membantu masyarakat untuk melakukan pengecekan detak jantung dan saturasi oksigen. Rancang bangun alat ini menggunakan sumber tegangan 5 Volt dan 3.3 Volt dari mikrokontroler Arduino MEGA 2560. input berupa sensor MAX30100 yang berfungsi mendeteksi detak jantung dan saturasi oksigen dalam darah dan sensor AD8232 berfungsi sebagai pendeteksi aktifitas elektron pada jantung, dengan output LCD OLED, LED, Buzzer dan smartphone. LCD dan smartphone akan menampilkan nilai detak jantung (beats per minutes) dan saturasi oksigen, sedangkan LED dan Buzzer sebagai indikator berdasarkan kondisi tertentu. Pengujian ini dilakukan pada orang dewasa, remaja, dan anak-anak.
Density-Optimized Lookup Table with Piecewise Linear Interpolation for ESP32 ADC Precision Enhancement Antonius Irianto Sukowati; Linza Mawadda Rahmah
ZETROEM Vol 8 No 1 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i1.7602

Abstract

The inherent non-linearity of built-in Analog-to-Digital Converters (ADCs) in low-cost microcontrollers like the ESP32 significantly impacts measurement accuracy, often exceeding 10% error in critical ranges. This research aims to enhance ESP32 ADC precision without expensive external hardware through a novel software-based correction method. The proposed approach combines a density-optimized Lookup Table (LUT) with piecewise linear interpolation. Unlike conventional uniform distribution, this technique strategically concentrates 65% of calibration points in the critical mid-voltage region (0.5–2.5 V) where non-linearity is most pronounced. Experimental validation was conducted using precise input voltages from 0 V to 3.2 V across multiple ESP32 units. Results demonstrate remarkable improvements: the average absolute error was reduced from 0.112 V (3.42% of full scale) to 0.008 V (0.24% of full scale), with Root Mean Square Error (RMSE) decreasing by over 92.5%. The method achieves a sub-1% maximum error while maintaining minimal resource consumption, requiring only 264 bytes of memory and 2.3 ms processing time per measurement. These findings confirm that high-accuracy measurements are achievable using commodity hardware, challenging the notion that precision requires expensive external ADCs. This work offers significant implications for cost-sensitive IoT, environmental monitoring, and healthcare applications requiring reliable data acquisition without increased hardware complexity.