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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 1,832 Documents
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Deteksi Objek Pohon Secara Real-Time dari Udara Menggunakan YOLOv8 pada Unmanned Aerial Vehicle (UAV) untuk Aplikasi Penentuan Kerapatan Vegetasi Hutan Pratama, Adiyasa; Evita, Maria
Jurnal Fisika Unand ##issue.vol## 15 ##issue.no## 4 (2026)
Publisher : Universitas Andalas

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Abstract

This study introduces various YOLOv8 architectures for detecting tree objects as a step in determining vegetation density using UAVs. The objective of this study is to evaluate the most optimal YOLO architecture that can be used to detect tree objects in dense forest vegetation in real-time by reviewing the model performance and the inference time required by the related model. Training was conducted using 2273 images with the following details: 2073 images for training, 67 images for testing, and 133 images for validation. For the best model, further training was carried out using a fine-tuning method to minimize reading errors made by the model. Based on training and testing, the most optimal model used for real-time forest monitoring is the YOLOv8n model with an F1-score value reaching 0.961 in testing at a height of 70 m. The most optimal flight altitude of the YOLO architecture for monitoring is at a height of 70 m, indicated by the highest F1-score value in the YOLOv8l architecture of 0.973. The use of the fine-tuning method has been proven to significantly reduce object reading errors by the YOLO architecture.
Groundwater Table Identification Using the Microtremor Horizontal-to-Vertical Spectral Ratio (HVSR) Method in Muara Bangkahulu District Maulana, M Ridho; Hadi, Arif Ismul; Refrizon, Refrizon; Putri, Kholiffa Juliana Eka
Jurnal Fisika Unand ##issue.vol## 15 ##issue.no## 4 (2026)
Publisher : Universitas Andalas

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Abstract

Muara Bangkahulu District, Bengkulu City, is predominantly composed of unconsolidated sediments with geological characteristics that may influence aquifer distribution and groundwater table depth. This study aims to estimate groundwater conditions and identify subsurface characteristics based on the Vp/Vs ratio and Poisson’s ratio using the Horizontal-to-Vertical Spectral Ratio (HVSR) microtremor method. Measurements were conducted at 34 observation points using a portable short-period seismograph and were complemented by groundwater table depth measurements from local residents’ wells using a digital laser distance meter. Data processing was performed using Geopsy, HV-Inv, and Surfer software to produce two-dimensional subsurface cross-sections and spatial distribution maps of the analyzed parameters. The results indicate variations in Vp/Vs and Poisson’s ratio values that reflect differences in lithological compaction, porosity, and groundwater saturation. Higher parameter values indicate the presence of water-saturated unconsolidated sediments, which are interpreted as weak zones associated with shallow groundwater conditions. The areas of Kandang Limun and Pematang Gubernur exhibit relatively high parameter values, suggesting the presence of shallow groundwater. These findings provide preliminary information on groundwater characteristics and may support regional development planning in Muara Bangkahulu District.

Page 184 of 184 | Total Record : 1832

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