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Journal of Experimental and Applied Physics
Published by Universitas Negeri Padang
ISSN : 29880378     EISSN : 29879256     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Electrical & Electronics Engineering Materials Science & Nanotechnology Physics
Journal of Experimental and Applied Physics: an international peer-reviewed open-access journal dedicated to interchange for the results of high-quality research in all aspects of theoretical physics, applied physics, electronics and instrumentation, material physics, biophyiscs, geophysics, high energy physics and computational physics.
Arjuna Subject : Fisika dan Astronomi - Instrumentasi
Articles 2 Documents
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Search results for , issue "Vol 3 No 4 (2025): In Progress: December Edition" : 2 Documents clear
An Infusion Monitoring System With An Internet Of Things Based On Smartphone Nazhifah, Naurah; Yohandri, Yohandri
Journal of Experimental and Applied Physics Vol 3 No 4 (2025): In Progress: December Edition
Publisher : Department of Physics, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jeap.v3i4.158

Abstract

Infusion is one of the most frequently used medical mechanisms as a therapeutic. The volume of infusion fluid, when not monitored regularly, can harm the patient. When the infusion fluid has run out and is not immediately replaced, the air will enter the blood vessels. Infusion monitoring in Indonesia is still done manually. Previous research has developed an infusion monitoring device using Arduino however, this device generally lacks remote monitoring capabilities, thus tending to use microcontrollers inefficiently. To address these issues, an Infusion monitoring system was designed using the NodeMCU ESP8266. This device reads the number of infusion fluid drops using an Optocoupler sensor, and a Load cell sensor measures the percentage of remaining fluid. Measurement results can be detected easily and quickly via a smartphone. The innovation in this system lies in the Internet of Things (IoT), which enables remote control. The research conducted was to determine the design specifications and performance specifications of the device. This can be seen from the results of the device design specifications, namely the average accuracy of the infusion rate of the number of drops/minute is 98.89% with an average accuracy of 98%, while the average accuracy of the remaining infusion fluid percentage is 96.8% with an average accuracy of 98%. This system offers an efficient and controlled solution for combining infusion fluids. By integrating IoT technology, this research paves the way for the development of more advanced infusion monitoring systems, supporting improved patient care in the era of global healthcare
Accuracy and Limitations of the Liquid Drop Model (LDM) in Nuclear Binding Energy Calculations Maulana, Muhammad Septian; Faozan, Faozan; Yani, Sitti; Djamil, Abd Djamil Husin
Journal of Experimental and Applied Physics Vol 3 No 4 (2025): In Progress: December Edition
Publisher : Department of Physics, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jeap.v3i4.161

Abstract

This study aims to evaluate the accuracy of the Liquid Drop Model (LDM) in predicting atomic nuclear binding energy and binding energy per nucleon, by comparing it with reference values. LDM is based on the assumption that atomic nuclei can be treated as drops of incompressible fluid. Nuclear binding energy is calculated using the Semi-Empirical Mass Formula (SEMF), and the results are analyzed through linear regression comparison with empirical mass defect data. The calculation results show that the LDM produces small deviations for binding energy values in medium nuclei. However, this model is less accurate in predicting binding energy for light and heavy nuclei. The inaccuracy in heavy nuclei is explained by the dominance of prominent collective effects; here, the behavior of the nucleus is better explained by the interaction of all nucleons as a whole, rather than by the behavior of individual nucleons. This reinforces the basic principle of LDM in heavy nuclei. In addition, the calculation of binding energy per nucleon by LDM produces the highest binding energy peak in Krypton-80 with a value of 8.98 MeV/nucleon. This result differs from empirical reference values that place Iron-56 (Fe-56) as the most stable nucleus with the highest binding energy, namely 8.79 MeV/nucleon. This deviation in the stability peak highlights the limitations of LDM, particularly regarding the lack of consideration of quantum effects and nuclear shell structures that are more relevant to certain nuclei.

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