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Sistem Monitoring dan Kontrol Laju Infus Berbasis Internet of Things Menggunakan Sensor Berat dan Optocoupler Abdul Floranda; Sulthon Mohd Fitrah; Fathurrahman
CYCLOTRON Vol 9 No 02 (2026): CYCLOTRON
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/ct.v9i02.31053

Abstract

Intravenous (IV) fluid monitoring in hospitals is commonly performed manually, which may cause delays in fluid replacement and inaccurate drip rate adjustments. This study aims to design and implement an Internet of Things (IoT)-based system for monitoring and controlling the IV drip rate in real time. The system uses a load cell sensor with an HX711 module to measure fluid volume, an optocoupler to detect the drip rate, and an ESP32 microcontroller as the main controller. A closed-loop control method is applied using a stepper motor to adjust the infusion tube opening and maintain the drip rate at a setpoint of 170 drops per minute. Measurement data are displayed on an LCD and transmitted to a smartphone application via WiFi for remote monitoring. Experimental results show that the system achieves an average volume measurement error of 3.41% and a drip rate control error of 0.94%. The system also provides an early warning through a buzzer when the fluid volume approaches the minimum threshold. These results indicate that the proposed system can perform IV monitoring and control accurately and reliably while supporting remote monitoring through IoT technology.
Induction Cookers Use a Hybrid System Powered by Recycled Batteries RAHMADHANI BANUREA; Fathurrahman Fathurrahman; Abdul Floranda
Journal of Technomaterial Physics Vol. 7 No. 2 (2025): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v7i2.22642

Abstract

Traditional stoves cause fires due to problems and accidents. Induction stoves mitigate this concern by reducing the likelihood of flames and the risk of fire.  Induction cookers do not produce flames. The power supply, combined with a recycled 12V 16850 Lithium-Ion battery and a bridge diode, constitutes the primary voltage source that provides 200W of power to activate the ZVS module. Then, connect the ACS712 sensor as a current sensor. The ATMega328 microcontroller controls the system, which is programmed to read and respond to sensor inputs. The sensor results are displayed on the I2C LCD as soon as the ZVS module is powered, when a load is placed on the coil. The results obtained from the first to third minutes of the study showed a water temperature ranging from 32.6°C to 64.9°C with a stable current of 17.5 A. From the fourth to the eighteenth minute, the current decreased drastically to 8A, resulting in an excessively long water heating duration of up to eighteen minutes to reach a temperature of 100°C. This occurs because the ZVS module's working system is not functioning correctly. For further research, consider using a power supply and a higher-voltage lithium-ion battery to accelerate the heating process.
Validation of a Portable Resistive-Sensor Corn Moisture Meter against a Standard Grain Meter Subhan Fahmi Nasution; Sally Irvina Ritonga; Masherlina; Amty Ma'rufah Ardhiyah Dalimunthe; Abdul Floranda
Green Intelligent Systems and Applications Volume 6 - Issue 2 - 2026
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v6i2.1286

Abstract

Measuring the moisture content of corn kernels was a critical aspect of post-harvest handling, as moisture content directly affected product quality and shelf life. This study validated a portable resistive-sensor-based instrument for measuring corn kernel moisture content by comparing its readings with those obtained using a standard grain moisture meter. The validation involved ten corn kernel samples with moisture contents ranging from 12% to 14% on a wet basis. Each sample was measured using both the standard moisture meter and the portable resistive-sensor instrument under identical conditions. Measurements obtained from the two devices were compared to evaluate their agreement using the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). The results showed that the portable resistive-sensor instrument achieved an MAE of 0.42% and an RMSE of 0.44% relative to the standard device. These low error values demonstrated that the developed instrument produced consistent measurements and accurately tracked variations in corn kernel moisture content. In addition to its measurement accuracy, the instrument offered several practical advantages, including a simple design, relatively low implementation cost, portability, rapid measurement, and suitability for on-site corn quality assessment. Overall, the resistive-sensor-based instrument provided an economical, practical, and readily implementable alternative for moisture measurement, with potential applications in supporting the drying and storage of agricultural commodities.