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Jurnal Fisika Unand
Published by Universitas Andalas
ISSN : 23028491     EISSN : 26862433     DOI : https://doi.org/10.25077/jfu
Core Subject : Science, Engineering,
Earth & Planetary Sciences Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Physics
Makalah yang dapat dipublikasikan dalam jurnal ini adalah makalah dalam bidang Fisika meliputi Fisika Atmosfir, Fisika Bumi, Fisika Intrumentasi, Fisika Material, Fisika Nuklir, Fisika Radiasi, Fisika Komputasi, Fisika Teori, Biofisika, ataupun bidang lain yang masih ada kaitannya dengan ilmu fisika.
Arjuna Subject : Fisika dan Astronomi - Fisika Nuklir dan Molekuler, dan Ooptik
Articles 13 Documents
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Search results for , issue "Vol 14 No 1 (2025)" : 13 Documents clear
Pengaruh Fraksi Volume Serat Pinang dan Serat Rami Terhadap Sifat Fisis dan Mekanik Komposit Hibrid Sebagai Bahan Dasar Dashboard Mobil Annisa, Hafizha Fitri; Mahyudin, Alimin
Jurnal Fisika Unand Vol 14 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.1.68-74.2025

Abstract

Research has been conducted on the effect of the volume fraction of jute fiber and areca nut fiber on the physical and mechanical properties of hybrid composites as a base material for car dashboards. This research aims to produce hybrid composites that have mechanical properties that are in accordance with the SNI of car dashboards and are environmentally friendly. The volume fraction of areca fiber and jute fiber is varied with a ratio of 1:1. The method of making samples using the hand lay-up method, which is a method of coating the fibers with the matrix manually. In this study, tensile strength, impact strength, density, and biodegradation tests were conducted. Based on the results of the study, the highest tensile strength value was at a volume fraction of 2% areca nut fiber and 2% jute fiber, namely 20.41 MPa. The highest impact strength value is in the volume fraction of 6% areca nut fiber and 6% jute fiber, which is 0.0206 J/mm^2. The highest density value was found in the volume fraction of 2% areca nut fiber and 2% jute fiber, namely 0.88 g/cm^3. The highest degradation rate was obtained in the volume fraction of 6% areca nut fiber and 6% jute fiber, namely 517%/day. From the research results, the optimum sample composition is in the variation of volume fraction of 2% areca fiber and 2% jute fiber.
Desain dan Implementasi Sistem Pendingin Berbasis Peltier TEC 12706 dengan Pemantauan Jarak Jauh Melalui Aplikasi Blynk pada Smartphone Puspita, Nabilla Putri; Yusfi, Meqorry
Jurnal Fisika Unand Vol 14 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.1.8-14.2025

Abstract

Cooling technology plays an important role in daily life, particularly in refrigerators used for storing fruits, vegetables, and beverages. However, conventional cooling systems still use freon, which can damage the ozone layer. This study utilizes the Peltier Effect on the Peltier TEC 12706 module as an environmentally friendly cooling component. The DHT22 sensor is used to measure temperature and humidity, while the NodeMCU ESP8266 processes sensor data displayed through the Blynk application. Three fans are installed outside the cooling chamber to prevent the Peltier module from overheating, and one fan is placed inside the chamber for air distribution. A heatsink is used to assist in heat dissipation. Testing compared the DHT22 sensor with AZ HT-02 and FY-11, producing regression values of R² = 0.9902 for temeprature and R² = 0.9798 for humidity, indicating high accuracy. Using two Peltier TEC 12706 modules and a 12 V 30 A AC-DC adapter, the temperature in the cooling chamber with dimensions (26x17x10) cm was reduced to 19.6°C, with humidity rising to 90.1% within 2 hours. These results show that the developed cooling system can function effectively.
Rancang Bangun Sistem Pelipat Pakaian Menggunakan Sensor Load Cell dan Sensor Ultrasonik Berbasis Arduino Mega2560 Jihan Latifah Hanum; Nini Firmawati
Jurnal Fisika Unand Vol 14 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.1.15-21.2025

Abstract

A clothes folding tool has been made using 4 load cell sensors and a clothes container using an ultrasonic sensor based on the Arduino Mega2560. Load cell sensor to detect mass on the folding board, if the mass is small equal to 375g, then the MG996R servo motor is active, if the mass is greater than 375g, then the servo motor is not active, the LCD screen displays excess mass. The HC-SR04 ultrasonic sensor detects the distance between clothes and clothes folders. If the detected distance is 2 cm, the buzzer sounds more than once. The buzzer also sounds once indicating the folding process is complete. The characteristics of load cell sensors 1, 2, 3, and 4 have linear correlation coefficients of 0.9985, 0.9985, 0.9968, and 0.998 respectively. The characteristics of the ultrasonic sensor have a linear correlation coefficient of 1. The average folding time is obtained from the folding time using a folding tool and the folding time manually 3 times for each garment. The average manual folding of shirt A, shirt B, trousers A, and trousers B was 9.07s, 15.34s, 9.68s, and 10s respectively, while using a folding tool was 5, respectively. 47s, 5.49s, 5.44s, and 5.47s. Testing variations in clothing mass with clothing folding time, it was found that variations in clothing mass had no effect on the length of time folding clothing
Indonesia Prototipe Sistem Kontrol Suhu, Kelembaban, dan Debu Ruangan Secara Otomatis Berbasis Arduino Uno Saumi, Amalia; Nini Firmawati
Jurnal Fisika Unand Vol 14 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.1.29-35.2025

Abstract

A prototype design of an automatic room temperature, humidity, and dust control system based on Arduino Uno has been carried out. This control system is equipped with a DHT22 sensor to detect temperature and humidity, a GP2Y1010AU0F sensor to measure dust density, an L298N motor to regulate the speed of the DC fan and blower, a relay as an automatic switch for the humidifier, and an LCD to display the values read by the sensor. The system works if the measured temperature is more than 30℃ the DC fan is active, if the humidity is less than 60% the humidifier module is active, and if the detected dust density is more than 150 μg/m3 the blower is active to remove dust. The results of the study showed that the system can work well according to its respective functions. When the measured temperature and humidity exceed the set values, the fan and humidifier work to stabilize the room temperature and humidity. When the detected dust density exceeds the set value, the blower works to remove dust in the room with a success rate of 80.07%. The DHT22 sensor can measure room temperature and humidity with a temperature error value of 2.81% and a humidity error value of 5.53%. While the GP2Y1010AU0F sensor can detect dust density with an error value of 3.54%.
Penentuan Sebaran Reservoar Menggunakan Atribut Seismik Pada Lapangan “Cemara” Cekungan Sumatera Tengah, Riau Zalwi, Eka Nadila; Namigo, Elistia Liza; Azlin, Amalia
Jurnal Fisika Unand Vol 14 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.1.75-81.2025

Abstract

A research has been carried out to determine the distribution of reservoirs in the "Cemara" Field, Riau using the seismic attribute method. The data used is secondary data resulting from the acquisition of PT. Bumi Siak Pusako in the form of 3D Post-Stack Time Migration (PSTM) seismic data and well data. Seismic attribute analysis is carried out by changing the original seismic volume into a sweetness seismic volume, then extracting the RMS (Root Mean Square), average energy and instantaneous frequency seismic attributes. The results of the RMS and average energy attribute map analysis show that the reservoir distribution area has a high amplitude with attribute values ​​of 2.0-3.2 and 7.0-11.00 respectively, which are high values ​​for each attribute. The results of the instantaneous frequency attribute show that the reservoir distribution area is at low frequency with an attribute value of 12.5-0.00. The crossplot of the attribute with the net sandstone layer value shows a higher distribution of clean sandstone in the production well area. The cross plot of attributes with vshale values ​​shows lower values ​​in the production well area, indicating that the reservoir distribution around the production well has good porosity. The reservoir distribution zone is in the altitude zone with a depth of ± 1,830 feet in the west and northeast directions, represented by the sweetspot zone in the amplitude attribute.
Indonesia IDENTIFIKASI PERCEPATAN TANAH MAKSIMUM MENGGUNAKAN METODE MIKROTREMOR DI KOTA PADANG Illona giovanni, Vannessa; Pujiastuti, Dwi; Pohan, Ahmad Fauzi
Jurnal Fisika Unand Vol 14 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.1.1-7.2025

Abstract

The position of Padang City on the coast and close to the subduction zone makes it very vulnerable to the impact of earthquakes, therefore mitigation efforts against potential disasters are very important to reduce the risk of such events. This study was conducted to map ground acceleration using the microtremor method as one of the efforts in earthquake disaster mitigation. The calculation of the maximum ground acceleration (PGA) value uses dominant frequency data (f0), amplification factor (A0 ) and soil vulnerability (kg) as input data obtained from microtremor data analysis using the Horizontal to vertical spectral ratio (HVSR) method. The microtremor data processed were 33 measurement points in 11 sub-districts in Padang City with a distance between points of 1-5 km. The dominant frequency, amplification, vulnerability and maximum ground acceleration values were then mapped to determine areas prone to earthquake disasters. Areas of Padang City with a high level of vulnerability can be seen in Bungus Teluk Kabung District and Padang Barat District.
Uji Kualitas Citra Pesawat CT-Scan Menggunakan Phantom ACR (American College of Radiology) di Instalasi Radiologi Rumah Sakit Universitas Andalas Machmudah; Muttaqin, Afdhal; Oktavia, Amel
Jurnal Fisika Unand Vol 14 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.1.45-51.2025

Abstract

This research aims to obtain optimal image quality by ensuring that the CT Number measurement results do not exceed the limits set using Phantom ACR in the Radiology Installation of Andalas University Hospital with a Philips brand CT-Scan 64 Slice machine, because CT-Scan image quality testing is an important step to ensure optimal performance of radiology diagnostic tools and guarantee the accuracy of examination results. This research uses an experimental method with an evaluation consisting of four modules: Module 1 (CT Number accuracy) shows that the values for Polyethylene, Air, Acrylic and Water materials are within the tolerance limits of BAPETEN No. 2 of 2022 is ±5 HU, while the bone material does not meet the criteria, which indicates the need for additional calibration for high density materials. Module 2 (low contrast resolution), CNR (Contrast to Noise Ratio) value of 2.91 shows clear contrast between structures with low noise, meets BAPETEN standard No. 2 of 2022. Module 3 (CT Number uniformity), uniformity testing produces standard deviation values below the limit ≤ 2 HU, indicating good uniformity in the center and edges of the image, making it reliable for clinical applications. Module 4 (spatial resolution with high contrast), the CT-Scan system shows a resolution of 6 lp/cm, in accordance with the minimum limit set by BAPETEN No. 2 of 2022. Overall, this research shows that the CT-Scan system can produce images that meet BAPETEN standards No. 2 of 2022 for good image quality and can be applied in clinical practice, but for bone material it does not meet the criteria with an average value of 838.1 ± 17.4 HU.
Rancang Bangun Sitem Manajemen Ruang Menggunakan Sensor PIR untuk Kontrol Saklar Otomatis dan Penghemat Energi Rahmawati, Lia; Setyawan, Galih
Jurnal Fisika Unand Vol 14 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.1.22-28.2025

Abstract

High electricity consumption not only increases electricity bills but also contributes to the energy crisis, especially with the rising base rates of kWh from PLN. Thus, optimizing energy usage is crucial. This study aims to develop a room management system that optimizes power consumption through an automated on-off switch, controlling lights and fans based on the number of people detected in the room. The system also offers the potential to estimate the need for assistance during natural disasters. The research methodology includes system design, prototype development, and system testing. Two Passive Infra Red (PIR) sensors are placed on either side of the door to detect the movement of people entering and exiting. Test results indicate that the PIR sensors provide 100% accuracy, with a maximum detection angle of 40 degrees and a range of 7 meters. The system is able to reduce energy consumption by up to 66%, with a power usage of 18.24 watts over 3 hours, compared to 27.36 watts without the system. The system interface was developed using Processing to display the sensor detection results.
A Backpropagation Neural Network Algorithm in an Optical System for Detecting Borax and Formalin Contaminants in Food Novianas, Hafis; Wirman, Shabri Putra; Fitrya, Neneng
Jurnal Fisika Unand Vol 14 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.1.61-67.2025

Abstract

The Bolin Detector is a device designed to detect borax and formalin contamination based on color differences. However, it has limitations in recognizing data based on contaminant levels. The system relies solely on threshold values for data classification, and several data points from samples exhibit overlapping values, making it difficult to differentiate between them. This research developed an Artificial Neural Network (ANN) to improve the performance of the Bolin Detector. The architecture used is backpropagation, with training methods including traingdx, traincgb, traincgf, and traincgp, as well as variations in the number of hidden layers and neurons. The results show that the ANN can recognize 100% of the training data and 97.83% of the testing data. The best accuracy was achieved using the traincgb method, with 85 neurons in the first hidden layer and 40 neurons in the second hidden layer.
Pemodelan Struktur Bawah Permukaan Berdasarkan Data Mikrotremor di Kecamatan Kampung Melayu, Kota Bengkulu Hutasoit, Tegar Ashary; Refrizon, Refrizon; Suhendra, Suhendra
Jurnal Fisika Unand Vol 14 No 1 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.1.36-44.2025

Abstract

Kampung Melayu District in Bengkulu City is experiencing rapid infrastructure development, necessitating early disaster mitigation efforts. This study aims to model subsurface structures using microtremor data to support earthquake disaster mitigation. Microtremor data were analyzed using the Horizontal to Vertical Spectral Ratio (HVSR) method to produce HVSR curves, which were then inverted to determine stratigraphy based on shear wave velocity (Vs30). The results show that the amplification factor (A0) ranges from 1 to 14.49 H/V, indicating varying soil response to seismic waves. The natural frequency (f0) values range from 0.6 to 8.7 Hz, reflecting differences in soil layer thickness and stiffness. The Vs30 values fall within 189–883.9 m/s, representing variations from soft soil to hard rock layers. These parameters were utilized to create spatial distribution maps, illustrating the area’s subsurface characteristics. Based on the seismic parameter distribution, Kampung Melayu District is classified as a medium-risk earthquake zone. This information is expected to support better decision-making in urban planning, infrastructure development, and disaster mitigation strategies in the future.

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