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INDONESIA
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 15 Documents
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Search results for , issue "Vol 15 No 1 (2026)" : 15 Documents clear
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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