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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 1,782 Documents
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Pengaruh Ukuran Dimer Nanopartikel Bola Emas, Perak, dan Aluminium yang Ditambahkan pada Lapisan Back Surface terhadap Efisiensi Sel Surya CIGS Syaibah, Abi; Muldarisnur, Mulda
Jurnal Fisika Unand Vol 13 No 6 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.13.6.843-849.2024

Abstract

This research aims to determine the effect of the size and material of spherical nanoparticle dimers placed on the back surface layer of CIGS solar cells on the resulting current density. This research was conducted computationally using the finite difference time domain (FDTD) method. Three materials were studied: silver, gold, and aluminium. For each material, nanoparticle diameter was varied. The calculation results show that the short circuit current density (Jsc) increases with the nanoparticle diameter. Silver nanoparticle dimers showed the highest increase in Jsc. A sphere diameter of 60 nm produces the highest Jsc. The increase in the Jsc of CIGS solar cells is due to the back reflection of light into the active layer of solar cells by nanoparticles and the near field excitation around nanoparticle dimers. The significant increase in Jsc shows the potential for utilizing silver nanoparticle dimers to increase the efficiency of CIGS solar cells.
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 Sistem Pemantauan Dosis Radiasi Sinar Gamma di Bawah Permukaan Air Menggunakan Pencacah Geiger-Muller Secara Nirkabel Berbasis Labview Firmansyah, Adhitya; Yusfi, Meqorry; Yahya, Mohamad Nur
Jurnal Fisika Unand Vol 13 No 6 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.13.6.806-812.2024

Abstract

Utilization of various radioactive sources in Indonesia, including nuclear fuel, nuclear waste, and radioactive minerals, has significantly increased to support research, industry, and healthcare services. This usage necessitates an evaluation of environmental impacts, particularly the increase in background radiation in the context of radioecology. Radionuclides like cesium, which are highly soluble in water, can be released into marine waters through leaks from nuclear power plants, radioactive waste, and military weapons tests, potentially harming marine ecosystems and the food chain. Therefore, periodic monitoring of underwater radiation exposure is crucial. This study aims to develop a gamma-ray radiation dose monitoring system underwater using a wireless Geiger-muller counter and LabVIEW-based interface. The system comprises a Geiger-muller counter for measuring radiation doses, an nRF24l01+ module for data transmission, and a LabVIEW application as the display panel. Testing was conducted by submerging a radioactive cesium source into a water tank with varying distances and depths. Radiation data were measured by the Geiger-muller counter, transmitted via the nRF24l01+ to the receiver, processed by Arduino Uno, and displayed in LabVIEW. The LabVIEW application also provides alerts if the dose exceeds the threshold and records the dose values. Test results showed the lowest measurement success rate of 17% at position 7 and the highest of 30% at position 1.
Pemodelan Struktur Bawah Permukaan Kabupaten Rejang Lebong dengan Metode Inversi 3D Data Gravitasi Satelit Menggunakan Koreksi SRTM2gravity Putri, Puja Kasmailen; pohan, Ahmad Fauzi; Marzuki, Marzuki
Jurnal Fisika Unand Vol 13 No 6 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.13.6.799-805.2024

Abstract

Rejang Lebong is a tourism area in Bengkulu Province, Indonesia, which is located close to the active Ketaun and Musi faults which are segments of the Sumatran Fault System (SFS). This research uses 3-D analysis and modeling of Earth's gravity anomaly inversion data obtained from the high-resolution Global Gravity Model (GGM). The aim of this research is to identify subsurface geological structures such as faults, active volcanoes and sedimentary layers that have the potential to pose a danger to the Curup Rejang Lebong tourism area. The Complete Bouguer Anomaly (CBA) in the study area was calculated using modern terrain correction methods that utilize full-scale topographic gravity data from the SRTM2gravity model. Separating regional and residual anomalies using an upward continuity filter with a height of 10 km. The 3D inversion model of satellite gravity data has succeeded in modeling the subsurface of the Rejang Lebong district where the presence of the Mount Kaba magma chamber is characterized by low negative density contrast, and the Ketaun and Musi fault lines are characterized by low and high contrast boundaries which have the potential to cause natural disasters in the region. Analysis of gravity anomalies and rock density contrasts provided results that are in line with the regional geological conditions of the Bengkulu region, including the pattern of intrusion of igneous rocks with high density contrasts and sedimentary rocks with lower density contrasts.
Analisis Parameter Seismisitas a-Value dan b-Value serta Percepatan Tanah Maksimum (PGA) Sebelum dan Sesudah Gempa Ambon 2019 Menggunakan Metode Probabilistic Seismic Hazard Analysis (PSHA) Utami, Indah Putri; Pujiastuti, Dwi
Jurnal Fisika Unand Vol 13 No 6 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.13.6.813-819.2024

Abstract

Probabilistic Seismic Hazard Analysis (PSHA) is a method to estimate earthquake risk in a region by considering uncertainties in earthquake sources and local ground response. To estimate earthquake risk and seismic impacts in a region, an in-depth analysis of seismicity parameters, such as a-value and b-value, as well as maximum ground acceleration (PGA), is required. This study aims to analyze changes in seismicity parameters, particularly b-value (rock fragility) and a-value (seismicity index) in the Maluku region before and after the 2019 Ambon earthquake. This study also aims to see whether there are changes in Peak Ground Acceleration (PGA) values for the Maluku region after the 2019 Ambon Earthquake. The seismic data used in this study comes from the USGS catalogue recorded from 2000 to 2022. The results of this study show that the b-Value of the Maluku region as a whole before the earthquake was 1.15 and decreased to 0.91 after the 2019 Ambon earthquake. However, the a-Value and b-Value for each seismic source zone increased. In addition, the PGA value for the Maluku region is 1.25g. These results provide the conclusion that the Maluku region is included in the zone with medium seismic hazard with the level of earthquake damage included in category VI of the MMI scale.
Sintesis Karbon Aktif Dari Batang Jagung(Zea mays L.) dengan Metoda Dehidrasi Asam Untuk Aplikasi Elektroda Superkapasitor Tetra, Olly Norita; Syukri, Syukri; Santoni, Adlis; Deswati, Deswati; Fajarandi, Nabiel; Emriadi, Emriadi
Jurnal Fisika Unand Vol 13 No 6 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.13.6.834-842.2024

Abstract

Activated carbon from corn stalks (Zea mays L.) has been successfully synthesized by the dehydration method and used as a supercapacitor electrode. Corn stalk powder was dehydrated with 1 MH2SO4 and activated with 5 M NaOH at a carbon and activator mass ratio of 1:4 with a heating temperature of 800°C and an N2 gas heating rate of 10°C/minute for 1 hour. SEM characterization results show that heterogeneous pores have formed on the surface of corn stalk-activated carbon. EDX results showed a carbon percentage of 54.82%; this data is supported by FTIR results, which show several functional groups containing C and O atoms on the surface of activated carbon. Based on desorption adsorption isotherm analysis, the activated carbon shows H4 type with a specific surface area of 117.973m2/g, average pore diameter of 1.730 nm and total pore volume of 0.1021 cm3/g. Measurement of the electrochemical properties of corn stalk activated carbon with a three-electrode system and 3 M KOH electrolyte showed a specific capacitance value of 133.9 F/g, power density 225.2 W/kg and energy density 0.863 Wh/kg. The synthesis of activated carbon through the dehydration method offers advantages in terms of simplicity in preparation, low cost, shorter synthesis time and being environmentally friendly.
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.
Sistem Monitoring Real-Time pada Pertanian Urban Mandiri Energi Terintegrasi Internet of Things (IoT) Fath, Yusril Al; Pahlevi, Reza Akbar; Abdillah, Ahmad Muhaimin; Karim, Moh. Hafidhuddin; Diantoro, Markus; Nasikhudin; Ariptiharta
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.14.1.52-60.2025

Abstract

Increased evictions of agricultural land have an impact on current agricultural commodity production. Vertical farming/hydroponic systems in urban areas integrated with Photovoltaic (PV) are an alternative solution to two crises, i.e. land constraints and the concept of green energy. The research carried out aims to create a tool for monitoring environmental parameters in an Urban Farming Energy-Independent system that is integrated with the Internet of Things (IoT). The research began with (i) designing the electronic component board and interface of the Human Machine Interface (HMI) system, (ii) assembling and installing devices on hydroponics, (iii) calibration processes as well as device testing, and (iv) integration process with IoT. The monitoring device can run in two modes: manual or automatic. Parameters that can be monitored are water pH, water TDS, water height in the tank, temperature, and humidity.  The data entered on the device can also be monitored through the grafana platform. The accuracy of sensor readings on the device reaches over 98%.

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