cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Mona Berlian Sari
Contact Email
monaberliansari@fmipa.unp.ac.id
Phone
(0751) 7057420
Journal Mail Official
jeap@ppj.unp.ac.id
Editorial Address
Jl. Prof. Dr. Hamka, Air Tawar Padang 25131, Indonesia
Location
Kota padang,
Sumatera barat
INDONESIA
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 88 Documents
 5   6   7   8   9 
Identification of Landslide-Prone Areas in Bukik Lantak Timpeh Subdistrict Dharmasraya Regency Using the HVSR Method Andesta, Cindy
Journal of Experimental and Applied Physics Vol 3 No 3 (2025): September Edition
Publisher : Department of Physics, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jeap.v3i3.130

Abstract

Landslides are one of the natural disasters caused by the movement of soil or rock masses downhill. Landslides are caused by disturbances in the stability of the soil or rock that make up the slope. One of the areas frequently affected by landslide is Timpeh Subdistrict. Therefore, microtremor data collection was conducted at Bukik Lantak, Timpeh Subdistrict, Dharmasraya Regency to determine the predominant frequencies and amplification factors in the region, utilizing the Horizontal to Spectral Ratio (HVSR) method. Furthermore, the dominant frequency and amplification values were processed to determine the seismic vulnerability index and shear wave velocity were used to identify areas prone to landslides. Based on the analysis of microtremor data, the dominant frequency values ranged from 0.1 to 9.55 Hz, amplification factor values ranging from 1.11 to 4.12, seismic vulnerability index values between 0.3052 and 15.376, and shear wave velocity values ranging from 120 m/s to 1800 m/s. Areas with high landslide potential are those with a combination of low dominant frequency values, low shear wave velocity, high amplification factor values, and high seismic vulnerability indices. Areas meeting these criteria are located at research points TP1, TP3, TP5, TP7, TP15, and TP16.
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): 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): 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.
Trends and Research Opportunities For Microcontroller-Based Flood Warning Systems: A Bibliometric Analysis Isti, Aulia; Asrizal, Asrizal; Amir, Harman; Fitri, Leni Aziyus
Journal of Experimental and Applied Physics Vol 4 No 1 (2026): March Edition
Publisher : Department of Physics, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jeap.v4i1.114

Abstract

Indonesia as an archipelago has a high level of vulnerability to flood disasters, which is worsening due to climate change, rapid urbanization, and weak mitigation systems. Ideally, an early warning system that is responsive, accurate, affordable and easy to implement in vulnerable areas is needed. While microcontrollers offer a potentially effective technological solution, most research is still limited to small prototypes without regard to long-term predictability or community participation. This study aims to evaluate the development, focus, and prospects of microcontroller-based flood warning system research using a quantitative bibliometric approach. A total of 200 articles from 2015-2025 were collected through Publish or Perish and analyzed using VOSviewer. The results showed, first, a significant increase in publications occurred in 2024, namely 29 articles. Second, word network visualization resulted in the mapping of 87 keywords in 7 clusters. Third, data overlay visualization resulted in a shift in focus to IoT integration, the latest microcontrollers, cloud-based monitoring. Fourth, data density analysis confirms the dominance of technical aspects, where keywords such as microcontroller, flood early warning system, and flood become the center of attention with the highest density level. The implications of these findings provide direction for the development of a more adaptive, inclusive, and applicable flood warning system in disaster mitigation.
Analysis of Seismic Vulnerability Index Based on Microtremor Signal Measurements in Balingka Agam Regency Ramadhan, Syarah
Journal of Experimental and Applied Physics Vol 4 No 1 (2026): March Edition
Publisher : Department of Physics, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jeap.v4i1.120

Abstract

This study aims to analyze the seismic vulnerability index (Kg) in Nagari Balingka, Agam Regency, West Sumatra, which is located near the Sianok Segment. The Sianok segment is part of the active Sumatra Fault, making Balingka prone to seismic activity, especially earthquakes caused by fault segment movement. The method used is the Horizontal to Vertical Spectral Ratio (HVSR) based on microtremor signals. Microtremor signal recording was conducted at 16 measurement points scattered throughout Balingka. Microtremor signal recording data analyzed using the HVSR method will produce an H/V curve. The curve represents the dominant frequency value (f0) and amplification factor (A0) correlated with the seismic vulnerability index (Kg). The results of the microtremor analysis were used to create a map of the distribution of f0, A0, and Kg using QGIS software. The results of the study indicate that the dominant frequency values range from 1.9 to 14.75 Hz. Meanwhile, the amplification factor (A0) ranges from 1.7 to 5.79. Based on the dominant frequency (f0) and amplification factor (A0), the seismic vulnerability index (Kg) in Nagari Balingka ranges from 0.46 to 8.71.
Design of a Gravity Acceleration Measurement System Using a Pendulum Oscillation Tool and Tracker Analysis Permata, Annisa; Asrizal, Asrizal; Amir, Harman; Sari, Mona
Journal of Experimental and Applied Physics Vol 4 No 1 (2026): March Edition
Publisher : Department of Physics, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jeap.v4i1.162

Abstract

Experiment has a crucial role in physics, one of the fundamental science for research and technology. This research focuses on gravitation and utilizes methods of experimental design and execution. Measuring gravitation is a frequently studied topic and related to the oscillation pendulum's harmonic. In practice, pendulum oscillations are often still calculated manually without visualizing the pendulum's trajectory during oscillation. With modern learning tools development, harmonic oscillations' measurements can be calculated and analysed by using video tracking software, for example, by generating graphs. A static pendulum with a string in three lengths: 50 cm, 60 cm, and 70 cm is required. The swinging pendulum loaded with a 100-gram weight and filmed by a camera. The recordings were analysed using the tracker software. The results were displayed as a sinusoidal waveform plotted from the points along the pendulum's path during oscillation.
Portable Impedance Spectrometer for Characterizing the Electrical Properties of Dielectric Materials Using A Goertzel Filter Arifin, M Zikri; Mairizwan, Mairizwan; Asrizal, Asrizal; Sari, Mona
Journal of Experimental and Applied Physics Vol 4 No 1 (2026): March Edition
Publisher : Department of Physics, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jeap.v4i1.166

Abstract

Dielectric materials have the ability to store large amounts of electrical energy, which is useful in electronics, such as in the manufacture of capacitors. However, the equipment available for characterization is usually quite complex and expensive. Therefore, this study aims to develop a highly portable embedded impedance spectrometer for characterizing the electrical properties of dielectric materials, namely complex permittivity and dissipation factor, and then demonstrate the effect of increasing the test frequency on the measurement results. The system consists of an STM32F407 microcontroller, an AD9850 DDS as an AC signal generator, and a Goertzel filter algorithm for signal processing. The results of testing the system with paper dielectric samples showed an accuracy of 89.37% for real impedance and 93.22% for imaginary impedance. The results of the paper dielectric sample characterization show an increase in the real value of complex permittivity in the 1kHz-10kHz frequency range, while the imaginary value shows an increase from 1kHz-5kHz and then stabilizes up to 10kHz. The increase in frequency also shows an increase in the dissipation factor (dielectric loss) at each increase in frequency
Design and Construction of a Urinalysis Instrument for Early Diagnosis of Disease Using TCS3200 Color Sensor and pH E-201C Based on the Internet of Things Afroe, Nahdya
Journal of Experimental and Applied Physics Vol 4 No 1 (2026): March Edition
Publisher : Department of Physics, Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jeap.v4i1.168

Abstract

Health is one of the most important things in life, which is why there have been many scientific discoveries in the form of medicines, medical devices, and new inventions in the field of health. Despite advances in health technology, health challenges remain a global issue, especially those related to diseases of the urinary tract and kidneys. Therefore, this study aims to detect diseases early through urine color and pH analysis using a TCS3200 sensor and an E-201C pH sensor. This device is designed to detect several diseases, namely dehydration, kidney stones, kidney failure, and urinary tract infections. The method used is engineering research, which includes hardware and software design, prototype development, and testing of the research device. The measurement results are displayed on an LCD and the Blynk application via NodeMCU ESP32. The test results show that the color sensor is able to classify urine color accurately, while the pH sensor has an average accuracy of 99.90% and a precision of 99.40%.

Page 9 of 9 | Total Record : 88

 5   6   7   8   9 

Filter by Year

2023 2026


Reset
Filter By Issues
All Issue Vol 4 No 1 (2026): March Edition Vol 3 No 4 (2025): December Edition Vol 3 No 3 (2025): September Edition Vol 3 No 2 (2025): July Edition Vol 3 No 1 (2025): March Edition Vol 2 No 4 (2024): December Edition Vol 2 No 3 (2024): September Edition Vol 2 No 2 (2024): June Edition Vol 2 No 1 (2024): March Edition Vol 1 No 3 (2023): December Edition Vol 1 No 2 (2023): September Edition Vol 1 No 1 (2023): June Edition More Issue