Ifa, Rista Putri Nur
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OPTIMASI POSISI SENSOR LOAD CELL HALF-BRIDGE SEBAGAI PARAMETER PENGUKURAN BERAT BADAN PADA SISTEM ANTROPOMETRI BALITA Ifa, Rista Putri Nur; Umiatin, Umiatin; Taryudi, Taryudi
PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) Vol. 12 (2024): PROSIDING SEMINAR NASIONAL FISIKA (E-JOURNAL) SNF2023
Publisher : Program Studi Pendidikan Fisika dan Program Studi Fisika Universitas Negeri Jakarta, LPPM Universitas Negeri Jakarta, HFI Jakarta, HFI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/03.1201.FA19

Abstract

Abstrak Antropometri adalah suatu metode yang digunakan untuk menilai ukuran, proporsi, dan komposisi tubuh manusia. Antropometri pada balita digunakan sebagai acuan untuk penilaian status gizi dan pertumbuhan balita. Salah satu parameter utama pada sistem pengukuran antropometri balita adalah massa badan. Pada sistem pengukuran antropometri untuk mendapatkan hasil yang sesuai maka diperlukan sensor yang akurat. Sensor load cell half-bridge merupakan salah satu sensor yang digunkan untuk mengukur massa badan yang prinsip kerjanya seperti jembatan wheatstone. Dalam penggunaannya, diperlukan optimasi posisi antara empat sensor load cell half-bridge. Tujuan dilakukannya optimasi posisi sensor ini untuk mengetahui jarak optimal posisi sensor sehingga dapat memberikan keluaran yang stabil. Optimasi jarak dilakukan dengan memberikan variasi jarak dengan rentang 6cm – 22cm. Masing-masing jarak diuji dengan memberikan variasi beban 500gram – 2500gram. Hasil menunjukkan bahwa sensor load cell half-bridge dapat bekerja dengan baik pada jarak antar sensor sebesar 19 cm dengan kesalahan relatif pengukuran sebesar 0,16%. Kata-kata kunci: Antropometri, Sensor Load Cell Half-bridge, Position Optimization. Abstract Anthropometry is a method used to assess the size, proportion, and composition of the human body. Anthropometry in toddlers is used as a reference for assessing the nutritional status and growth of toddlers. One of the main parameters in the anthropometric measurement system for toddlers is body mass. In the anthropometric measurement system to get the appropriate results, an accurate sensor is needed. The half-bridge load cell sensor is one of the sensors used to measure body mass whose working principle is like a wheatstone bridge. In its use, it is necessary to optimize the position between the four half-bridge load cell sensors. The purpose of this sensor position optimization is to determine the optimal distance of sensor work with stable output. Distance optimization is done by providing a variety of distances with a range of 6cm - 22cm. Each distance is tested by giving a load variation of 500gram - 2500gram. The results show that the half-bridge load cell sensor can work well at a distance between sensors of 19 cm with a relative measurement error of 0.16%. Keywords: Anthropometry, Half-bridge load cell sensor, Position Optimization.
Development of Health Kiosk Prototype for Blood Pressure and Fat Mass Measurement Umiatin, Umiatin; Putri, Pinkan Amanda; Purwalaksana, Ahmad Zatnika; Al Farizy, Firnas; Nurdin, Muhammad; Purnama, Bedy; Ifa, Rista Putri Nur; Abidin, Muhammad
Journal of the Physical Society of Indonesia Vol. 1 No. 2 (2025): October 2025
Publisher : The Physical Society of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35895/jpsi.1.2.76-86.2025

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.