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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 1,796 Documents
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Peningkatan Absorpsi Cahaya pada Nanostruktur TiO₂ Terdoping Cu dan Ni untuk Aplikasi Pemisahan Air Fotokatalitik Novianti, Noni; Ramona, Fransischa; Wellia, Diana Vanda; Muldarisnur, Mulda
Jurnal Fisika Unand Vol 14 No 6 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.6.635-643.2025

Abstract

This study reports the enhancement of light absorption by TiO₂ nanoparticles when doped with Ni and Cu nanoparticles. Numerical simulations were performed using the boundary element method. The absorbance in the visible region of Ni-doped TiO₂ increases compared to pure TiO₂. The increase in absorbance is accompanied by a shift in the absorption band edge to a longer wavelength (redshift) due to the formation of new energy levels that narrow the band gap. Cu-doped TiO₂ exhibits a more significant increase in absorbance and a wider absorption range. Both dopants decrease the band gap relative to pure TiO₂, with Cu doping producing a greater decrease. Ni and Cu doping enhance the optical response of TiO₂ in the visible region. Cu doping has the most dominant effect in broadening the absorption and lowering the band gap energy. These findings indicate that Ni- and Cu-based dopant engineering is a potential approach to improve the performance of TiO₂-based materials in photocatalytic applications such as hydrogen production by water splitting.
Aplikasi Metode Geolistrik Resistivitas untuk Menentukan Zona Lemah (Studi Kasus: Wilayah Episenter Gempabumi di Kecamatan Lalolae, Kabupaten Kolaka Timur) Triani, T.; Sudarwin Kamur; Erfina, Erfina
Jurnal Fisika Unand Vol 15 No 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.1.49-56.2026

Abstract

Research was conducted on the weak zones at the epicenter of the earthquake in Lalolae District, East Kolaka Regency, utilizing the Wenner 2D resistivity geophysical method. This study involved five measurement lines, each 150 meters in length, with a spacing of 10 meters between electrodes. The data analysis revealed that resistivity values across each line were heterogeneous, ranging from low to high resistivity at varying depths. Low resistivity (<100 Ωm), indicated in blue, corresponds to sandy alluvium resulting from the weathering of schistose rocks, which are classified as weak zones. Medium resistivity (>100 Ωm) is situated above the low resistivity layer and transitions into the high resistivity layer across each measurement traverse, identified as gneiss rock. High resistivity (>200 Ωm) extends along the measurement path at varying depths and is classified as quartzite rock.
Verification of Photon Beam Absorbed Dose Using the Tissue Phantom Ratio Parameter on the Linac Clinac Cx at Andalas University Hospital Nisa Oktania, Nisa; Milvita, Dian; Adrial, Rico; Diyona, Fiqi
Jurnal Fisika Unand Vol 15 No 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.1.103-109.2026

Abstract

Research on verification of the radiation dose of a 6 MV and 10 MV photon beam on Clinac CX type Linear Accelerator (LINAC) has been conducted at Andalas University Hospital. This research aims to determine the radiation beam correction factor to obtain measured dose values and obtain the value of absorbed dose verification value based on the Technical Report Series (TRS) No. 398 International Atomic Energy Agency (IAEA). The research began with planning on the CT-simulator. Furthermore, the measurement of radiation dose on the phantom slab using a Clinac CX type LINAC therapy aircraft with a farmer chamber ionization detector, target depth variations of 1,5 cm, 2,5 cm, and 10 cm, and field area variations of (6×6) cm2, (10×10) cm2, (15×15) cm2, (8×13,3) cm2, dan (9×11,5) cm2. Furthermore, radiation dose verification is carried out by comparing the radiation dose at the TPS to the dose measured using the farmer chamber ionization detector. The absorbed dose value obtained based on the planning dose at the TPS increased at maximum depth and decreased as the depth of the irradiation field increased. Verification of the radiation dose that meets the tolerance limit is below 5%. The appropriate measurement results were obtained at a maximum depth (Dmax) of 2,5 cm, except at depths of 1,5 cm and 10 cm.
Klasifikasi Multi-Kelas Kanker Paru Berbasis Ekstraksi Fitur Hibrida GLCM, LBP dan Gabor Filter Menggunakan Algoritma Random Forest dan KNN pada Citra CT-Scan Iqbal, Muhammad; Pandji Triadyaksa; Qidir Maulana Binu Soesanto
Jurnal Fisika Unand Vol 15 No 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.1.57-69.2026

Abstract

This study aims to improve the multi-class classification performance of Non-Small Cell Lung Cancer (NSCLC) based on CT-Scan images through a hybrid feature extraction approach. The method combines Gray Level Co-occurrence Matrix (GLCM), Local Binary Pattern (LBP), and Gabor Filter features, classified using Random Forest and K-Nearest Neighbor (KNN) algorithms. The dataset includes four image classes: adenocarcinoma, large cell carcinoma, squamous cell carcinoma, and normal. Model performance was evaluated using accuracy, sensitivity, specificity, and area under curve (AUC) metrics. The results show that the GLCM+LBP feature combination with the Random Forest algorithm achieved the best performance with an accuracy of 99.22%. The model effectively recognizes both global and local texture variations of lung tissue and remains stable in distinguishing all image classes. It can be concluded that the hybrid texture feature combination and ensemble algorithm produce an accurate, efficient, and potentially applicable classification model for computer-aided diagnosis in medical physics
Verifikasi Dosis Titik pada Perencanaan Pengobatan Radioterapi Teknik IMRT Berdasarkan Kasus Uji C-Shape dan Mock Prostate Standar AAPM TG-119: Indonesia Yuana, Firdy; Khasanah, Kholifatun; Hentihu, Fatimah Kunti
Jurnal Fisika Unand Vol 15 No 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.1.94-102.2026

Abstract

Verifikasi dosis titik merupakan tahap krusial dalam Quality Assurance (QA) radioterapi Intensity-Modulated Radiation Therapy (IMRT) yang berfungsi memastikan kesesuaian antara dosis radiasi yang dihitung oleh Treatment Planning System (TPS) dengan dosis yang diterima secara aktual. Penelitian ini bertujuan untuk mengevaluasi deviasi dosis titik dengan menggunakan slab phantom, mengikuti protokol uji standar American Association of Physicists in Medicine Task Group 119 (AAPM TG-119), yaitu C-Shape Test dan Mock Prostate Test. Evaluasi dilakukan dengan memvariasikan dua parameter utama: jumlah arah lapangan penyinaran (5, 7, dan 9 arah) dan lebar segmen (segment width) (5 mm, 7,5 mm, dan 10 mm). Hasil studi menunjukkan bahwa seluruh nilai perbedaan dosis yang diukur pada lokasi target maupun Organ at Risk (OAR) untuk kedua skenario uji berada di bawah batas toleransi klinis 3% yang telah ditetapkan oleh AAPM TG-119. Berdasarkan analisis, konfigurasi perencanaan terbaik untuk Mock Head and Neck Test adalah 7 arah lapangan penyinaran segment width 5 mm dengan ΔD OAR 0,076% dan jumlah MU 978,34, sedangkan untuk Mock Prostate Test adalah 5 arah lapangan penyinaran segment width 5 mm dengan ΔD OAR 0,027% dan jumlah MU 515,27. Hasil ini diharapkan dapat menjadi acuan awal dalam menentukan strategi perencanaan IMRT yang efektif dan efisien dalam praktik klinis.
Klasifikasi Tanaman Menggunakan Metode Deep Learning Residual Network (ResNet) Berbasis Data Time Series Penginderaan Jauh di Desa Girimulyo, Lampung Timur Rahadianto, Muhammad Ario Eko; Sejati, Putri Wahyu; Fauzi, Adam Irwansyah; Atmojo, Aulia Try; Widayanti, Tika; Yudanegara, Rizky Ahmad
Jurnal Fisika Unand Vol 15 No 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.1.70-78.2026

Abstract

Most Indonesians work in agriculture, making crop-type maps essential for food security. This study evaluates time-series classification using Residual Network (ResNet) for crop mapping. Sentinel-2A imagery from May 2021 to May 2022 was used with 120 samples across five classes: Corn, Coconut, Non-crop, Banana, and Other Crops. The data were processed into a regularized Earth Observation (EO) data cube and trained using samples filtered with Self-Organizing Map (SOM) under two schemes: single clustering (SC) and double clustering (DC). The ResNet model was trained with filtered data and tested with varying epochs. The study produced a crop-type map of Girimulyo, East Lampung, smoothed with the Bayesian method. Accuracy assessment showed that SC at 100 epochs achieved 87%, exceeding the 85% threshold, while DC yielded lower accuracy due to reduced training data. These results confirm that ResNet-based time-series classification is effective for crop-type mapping in the study area.
Identifikasi Potensi Mineral Nikel Laterit Menggunakan Data Geomagnetik EMM (Enchanted Magnetic Model) 2017 di Kecamatan Poli Polia Islami, Keisyah Putri; Budiman, Arif
Jurnal Fisika Unand Vol 15 No 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.1.87-93.2026

Abstract

A study has been conducted utilizing secondary geomagnetic data from the Enhanced Magnetic Model (EMM) 2017. This study aims to identify the potential presence and lateral distribution of laterite nickel minerals in Poli Polia District. The data processing stages include International Geomagnetic Reference Field (IGRF) correction, Reduce to Pole (RTP) transformation, and separation of regional and residual anomalies. Furthermore, analysis and interpretation are carried out by comparing the residual anomaly map to the regional geological map. The results of the RTP transformation obtained residual magnetic anomaly values ​​ranging from -0.8 nT to 0.7 nT with high anomaly values ​​ranging from 0.5 nT to 0.7 nT and low values ​​ranging from -0.8 nT to -0.6 nT. In the southwest of the study area there is a low magnetic anomaly zone surrounded by a low magnetic anomaly zone, while in the north it is the opposite. The results of data interpretation indicate that the high anomaly zone in the southwest is related to the presence of the Ultramafic Complex (Ku) composed of peridotite and serpentine rocks, while the low anomaly zone is interpreted as a prospective area containing laterite nickel minerals. Meanwhile, in the northern part, the low anomaly zone correlates with the Mekongga Complex (Pzm), which is composed of metamorphic and sedimentary rocks. The presence of a high anomaly zone in this area indicates the presence of geological features such as faults or joints that play a significant role in enhancing the local magnetic response.
Rancang Bangun Sistem Penghitung Jumlah Burung Walet berbasis Internet of Things (IoT) Arifin, Samsul; Anggar Wanto, Wahyu; William Dony, Garry; Lumbanraja, Walman
Jurnal Fisika Unand Vol 15 No 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.1.117-125.2026

Abstract

Swiftlet nest farming is a source of economic income for several regions in Indonesia, including Central Kalimantan. The constraint faced by swiftlet nest farmers is the use of a manual counting system by estimating the number of birds, which has a high error rate. This problem necessitates the design of a swiftlet counting system. This research aims to design and build an appropriate technology-based monitoring system. The technology required is one that can be used to monitor the number of swiftlets entering and leaving the swiftlet house in real time. The method used is the characterization and calibration of infrared sensors, then designing a sensor data design and acquisition system. The NodeMCU ESP8266 measures the number of objects using an infrared sensor displayed through a Liquid Crystal Display (LCD) and Blynk. Data collection was carried out in six trials with variations in the number of objects passed through the sensor. The test results show an average error percentage of 3% and an accuracy value of 97.5% when throwing one object and an error value of 6% and an accuracy value of 94% when throwing one object. The measurement data is displayed on the LCD and sent to the Blynk application via a smartphone for remote monitoring.
Pemetaan Potensi Panas Bumi Menggunakan Penginderaan Jauh dan Analisis Multikriteria Berbasis AHP di Surian, Kabupaten Solok, Sumatera Barat Khairunnisa; Elistia Liza Namigo
Jurnal Fisika Unand Vol 15 No 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.1.110-116.2026

Abstract

This research was conducted in Surian, Solok Regency, West Sumatra, which is located in the active magmatic zone of the Barisan Mountains and is believed to have geothermal potential. The main objective of this study was to identify areas with potential geothermal resources using remote sensing data and spatial analysis methods. The parameters used included the Normalized Difference Vegetation Index (NDVI) from Sentinel-2 imagery, Land Surface Temperature (LST) from Landsat-8 imagery, and Fault Fracture Density (FFD) from SRTM DEM data. The data were processed using Google Earth Engine (GEE) and QGIS 3.34, and the combined analysis of the three parameters was carried out using the Analytical Hierarchy Process (AHP) method. The results showed that the NDVI values ​​ranged from –0.1907 to 0.9117, the LST between 13.4 °C and 32.9 °C, and the FFD between 0.001 and 3.474. These values ​​were generally concentrated around the main fault zone, particularly in the central to western part of the study area. A geothermal potential map was successfully created, dividing the regions into three categories: low, medium, and high. This map also helped identify several areas with potential, but without clear manifestations on the surface. In conclusion, this study demonstrates that combining NDVI, LST, and FFD parameters with spatial analysis is a method that can support geothermal exploration.
Identifikasi Potensi Mineralisasi Emas di Kecamatan Sangir menggunakan Data Geomagnetik EMM 2017 Fitri, Intan; Budiman, Arif
Jurnal Fisika Unand Vol 15 No 1 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.1.79-86.2026

Abstract

Indonesia is a country with significant potential for gold mineral resources, particularly in areas along the Sumatran magmatic belt. This study aims to identify the potential distribution of gold mineralization in Sangir District, South Solok Regency, using secondary geomagnetic data. The data used is the Enhanced Magnetic Model (EMM) 2017 model obtained from the National Oceanic and Atmospheric Administration (NOAA). Data processing was carried out through the stages of IGRF correction, calculation of total magnetic anomalies, separation of regional and residual anomalies and reduction-to-pole transformation (RTP) using Oasis Montaj software. The results show that the residual anomaly after reduction to the pole ranges from -1.0935 to 1.1861 nT. Based on local geological conditions, zones with low magnetic anomalies that develop in the central to western parts of the study area are interpreted as alteration and fracture zones that have the potential to become hydrothermal fluid movement pathways. The zone with moderate to high magnetic anomalies that developed in the eastern, east-central, and southeastern parts of the research area is interpreted as a response from high magnetic rocks associated with sulfide minerals (pyrite) and porphyry systems, so that the zone is identified as a prospective zone that has the potential to contain gold mineralization.

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