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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 1,804 Documents
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Jaringan Sensor Nirkabel Multisensor untuk Pemantauan Aktivitas Gunung Api dan Peringatan Dini Berbasis IoT Qodri, Raihan; Febrina, Melany; Satria, Eko
Jurnal Fisika Unand Vol 15 No 2 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.2.174-187.2026

Abstract

This research presents the development of a multisensor wireless monitoring system designed to observe ground vibration, CO₂ concentration, and SO₂ concentration as early indicators of volcanic activity. The system integrates an ADXL335 accelerometer, MG-811 CO₂ sensor, and MQ-136 SO₂ sensor with an Arduino-based microcontroller, LoRa communication modules, and an Internet-of-Things (IoT) platform for real-time monitoring. Sensor calibration was carried out using controlled laboratory procedures, including drop tests for vibration measurement and gas exposure tests for CO₂ and SO₂ detection. The IoT layer, consisting of an MQTT-based web dashboard and automated Telegram notifications, successfully visualized sensor data and delivered early-warning messages during the outdoor test. The three-day outdoor simulation demonstrated stable operation of the sensor nodes, LoRa transmission, and solar-powered supply. Although the system has not yet been validated in a real volcanic environment, the prototype shows the feasibility of integrating multiple sensing modalities with low-power wireless communication and IoT-based data services. This indicates its potential for further development into a field-deployable volcanic monitoring and early-warning system.
Seismic Site Response Characterisation of Sungai Serut Sub-district, Bengkulu City, Using the Horizontal to Vertical Spectral Ratio (HVSR) Method Rendoza; Farid, Muchammad; Refrizon, Refrizon; Hardiansa, Debi; Al Ansory, Andre Rahmat; Raihana, Hana
Jurnal Fisika Unand Vol 15 No 2 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.2.204-210.2026

Abstract

Bengkulu City, located on the west coast of Sumatra, is highly susceptible to seismic hazards due to active tectonic settings. This study investigates subsurface characteristics, ground amplification, and the seismic vulnerability index (Kg) in Sungai Serut Village using the Horizontal to Vertical Spectral Ratio (HVSR) method based on microtremor measurements. The results indicate that the dominant frequency (f₀) ranges from 1.00 to 6.87 Hz, reflecting variations in sediment stiffness and near surface geological conditions. Based on the dominant frequency distribution, the subsurface materials are predominantly classified as type II soil, which generally corresponds to medium-density sedimentary deposits. The spectral amplification factor (A₀) varies between 1.64 and 5.88, indicating moderate to high amplification levels. The seismic vulnerability index (Kg) ranges from 0.51 to 20.49, with the highest values observed at measurement points 20 and 21, suggesting greater susceptibility to strong ground motion. These findings provide important insights for seismic hazard assessment and support earthquake-resilient spatial planning and infrastructure development in Bengkulu City.
Sintesis Hijau dan Karakterisasi Nanopartikel ZnO Menggunakan Ekstrak Daun Kelapa Sawit (Elaeis guineensis) Hizhar, Daniel; Handani, Sri; Elvaswer
Jurnal Fisika Unand Vol 15 No 2 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.2.236-243.2026

Abstract

This study aims to synthesize zinc oxide (ZnO) nanoparticles through a green synthesis approach using palm oil leaf extract as a natural reducing and stabilizing agent. The green synthesis method utilizes phytochemical compounds present in the palm oil leaf extract to reduce zinc acetate dihydrate precursor into ZnO nanoparticles. The crystal structure, functional groups, and morphology of the synthesized ZnO nanoparticles were characterized using X-ray Diffraction (XRD), Fourier Transform Infrared Spectroscopy (FTIR), and Field Emission Scanning Electron Microscopy (FESEM), respectively. The XRD results indicate that the ZnO nanoparticles exhibit a hexagonal wurtzite crystal structure without impurity phases, with an average crystallite size of 22.20 nm. FTIR analysis confirms the presence of Zn–O bonds along with residual organic functional groups originating from the palm oil leaf extract. FESEM images reveal spherical to quasi-spherical particle morphology with agglomerated structures and a uniformly distributed average particle size of 84.40 nm. These results demonstrate that palm oil leaf extract is effective for the green synthesis of ZnO nanoparticles.
Land Cover Change in Riau Province and Its Implications for Carbon Stock and CO₂ Emissions Safitri, Ramadani; Marzuki, Marzuki; Priyanda, Eko; Salsabila, Syafira; Ridwan, Ridwan; Rahman, Riki
Jurnal Fisika Unand Vol 15 No 2 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.2.221-228.2026

Abstract

This study aims to analyze peatland land cover changes in Riau Province during 2012, 2016, 2020, and 2024 and their implications for carbon stock and CO₂ emissions. The study used Landsat 7 ETM+ and Landsat 8 OLI/TIRS satellite imagery processed through supervised classification and multitemporal overlay analysis using ArcGIS. The results indicate that vegetation remained the dominant land cover class but experienced a cumulative decline of 1,393,360 ha, especially during 2016–2020 following the 2015 major fires, while built-up areas increased by 249,357 ha. This vegetation loss significantly affected carbon stocks, with an estimated loss of 418,008,000 tons C or 1,534,089,360 tons CO₂, and the 2016–2020 period contributed most to emissions. These findings confirm that peatland land cover changes are not only spatially significant but also influence carbon dynamics and greenhouse gas emissions. Multitemporal remote sensing analysis proved effective in monitoring land cover changes and estimating carbon emissions, providing a scientific basis for sustainable peatland management and regional climate change mitigation strategies.

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