cover
Contact Name
Andi Syam Rizal
Contact Email
jft_fisika@uin-alauddin.ac.id
Phone
+6285242741788
Journal Mail Official
jft_fisika@uin-alauddin.ac.id
Editorial Address
Jurusan Fisika Gedung Fakultas Sains dan Teknologi Lt. 2
Location
Kab. gowa,
Sulawesi selatan
INDONESIA
Jurnal Fisika dan Terapannya
ISSN : 23021497     EISSN : 27152774     DOI : -
Core Subject : Science,
Jurnal Fisika dan Terapannya (JFT) adalah jurnal fisika yang diterbitkan oleh Jurusan Fisika, Fakultas Sains dan Teknologi, Universitas Islam Negeri Alauddin, Makassar. Jurnal ini diterbitkan dua kali setahun pada bulan Juni dan Desember. Jurnal ini mencakup artikel penelitian dalam semua aspek fisika dan terapannya. Jurnal ini pertama kali diterbitkan pada bulan Desember 2014 dan secara online di tahun 2019. Artikel hasil penelitian dalam jurnal ini berkaitan dengan fisika yang meliputi adalah fisika teori, fisika material, geofisika, fisika kesehatan, fisika instrumentasi, fisika komputasi, dan astrofisika.
Articles 13 Documents
Search results for , issue "Vol 12 No 1 (2025): Juni 2025" : 13 Documents clear
Optimasi Papan Akustik Berbahan Pelepah Pisang, Eceng Gondok, dan Sekam Padi sebagai Peredam Kebisingan Rahayu, Rahayu; Zulfian, Zulfian; Nurhanisa, Mega
JFT : Jurnal Fisika dan Terapannya Vol 12 No 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v12i1.51466

Abstract

Noise is a problem that often arises in the community. Several previous studies have found the potential of environmentally friendly natural materials to absorb sound. The purpose of this study was to determine the physical and mechanical properties of acoustic boards based on the composition of a mixture of banana leaf, water hyacinth, and rice husk materials and to analyze the effect of the mixture of banana leaf, water hyacinth, and rice husk material composition. The acoustic board was then tested for physical properties, mechanical properties, and sound absorption coefficient (α) using the one-microphone impedance tube method. Making acoustic boards with a material and adhesive ratio of 70%:30%, and a comparison of variations in the composition of banana stem, water hyacinth, and rice husk materials for sample A (60%: 10%: 0%), sample B (20%: 0%: 50%), sample C (0%: 10%: 60%), and sample D (20%: 10%: 40%). The results of the research on physical and mechanical properties meet the Indonesian National Standard (SNI) 01-4449-2006, namely the density value in all samples, moisture content in samples B, C, and D, and internal adhesive firmness in samples B and C. The test results of the sound absorption coefficient value of the acoustic board are categorized as being able to reduce noise by meeting the International Organization for Standardization (ISO) 11654 standard, which is greater than 0.15. The highest sound absorption coefficient value is obtained by sample D at a thickness of 1 cm with a sound absorption coefficient value of 0.287.
Analisis Nilai Entrance Skin Dose (ESD) dan Dosis Hamburan pada Area Tiroid dan Area Gonad pada Phantom PMMA Planar Menggunakan Pesawat Fluoroskopi C-Arm Asmayati; Astuty, Sri Dewi; Prastowo, Alan Tanjung Aji; Dewang, Syamsir; Ibrahim, Ajeng Anggreny; Pratiwi, Ayu Hardianti
JFT : Jurnal Fisika dan Terapannya Vol 12 No 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v12i1.55995

Abstract

A study has been conducted analyzing the Entrance Skin Dose (ESD) value on PMMA phantoms based on variations in Field of View (FOV) and thickness. In addition, the magnitude of the dose scattering that reaches the thyroid and gonad areas of radiation workers when C-Arm fluoroscopy examination is performed was also tested. The variation in phantom thickness values ​​was 15, 20, and 25 cm while the variation in FOV irradiation values ​​was 12, 15, 17, and 20 cm. The purpose of the study was to determine the magnitude of the change in ESD value due to changes in object thickness which will also directly affect changes in peak voltage for each irradiation. This also has implications for providing an increasing scattering dose due to the presence of the object. The results showed that the larger the FOV and thickness of the phantom, the higher the ESD value received. At a phantom thickness of 25 cm, ESD increased from 6.42 mGy at a FOV of 12 cm to 11.61 mGy at a FOV of 17 cm. The scatter dose value that reaches the thyroid area is a maximum of 22.31 µSv at FOV 20 cm, while the gonad area receives 1.647 µSv, which is lower because the fluoroscopy machine is equipped with Pb protection for radiation workers when performing interventions. The conclusion in C-arm fluoroscopy examinations, radiation workers must also use protective equipment for other vital areas such as Pb glasses and neck protection to be safer from scattered radiation.
Klasifikasi Kanker Kulit dari Citra Dermoskopi menggunakan Fitur Gray Level Co-occurence Matrix (GLCM) dengan Algoritma Machine Learning Imanuel Purba, Chrisman; Alrizal, Alrizal; Fendriani, Yoza
JFT : Jurnal Fisika dan Terapannya Vol 12 No 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v12i1.56651

Abstract

This study aims to classify skin cancer based on dermoscopic images using texture feature extraction through the Gray Level Co-occurrence Matrix (GLCM) technique by comparing the performance of four machine learning algorithms: Support Vector Machine (SVM), K-Nearest Neighbor (K-NN), Decision Tree, and Random Forest. This approach was developed to address the limitations of previous studies, which typically employed only a single algorithm without comprehensive comparison. The evaluation results show that Random Forest achieved the best performance, with an accuracy of 92.72%, precision of 94.44%, recall of 92.39%, and an F1-score of 93.40%. This is attributed to its ensemble nature, which combines multiple decision trees through a voting mechanism, making it effective in handling imbalanced data and complex texture patterns. Conversely, Support Vector Machine (SVM) demonstrated the lowest performance, with an accuracy of 66.06%, precision of 84.44%, recall of 64.40%, and an F1-score of 73.07%, indicating its limitations in recognizing nonlinear in high-dimensional data. Based on these results, the combination of GLCM and Random Forest has proven to be effective and optimal for medical image classification, and holds significant potential to support more accurate clinical decision-making in the early detection of skin cancer
Analisis Intensitas Radiasi Matahari terhadap Efisiensi Panel Surya menggunakan Algoritma Support Vector Regression (SVR) dan Naïve Bayes Ramadoni; Purwaningsih, Sri; Pebralia, Jesi
JFT : Jurnal Fisika dan Terapannya Vol 12 No 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v12i1.56806

Abstract

Solar radiation is an alternative energy in the form of heat from electromagnetic waves consisting of electric and magnetic fields. The utilization of solar energy to be converted into electrical energy can be done through solar panels with the photovoltaic effect mechanism. This research aims to analyze the effect of solar radiation intensity on solar panel efficiency using the Support Vector Regression (SVR) and Naïve Bayes algorithms. The research method used is a computational method with Machine Learning techniques. The algorithms used are the Support Vector Regression algorithm and Naïve Bayes. The data used comes from the Jambi Province Meteorology, Climatology, Geophysics (BMKG) Agency. The performance of each model was then evaluated using accuracy metrics to determine the accuracy comparison. The results showed a very strong and positive relationship between solar radiation intensity and solar panel efficiency by 97%. Based on the results, the Naïve Bayes algorithm achieved an accuracy of 96.71%, which shows the model is capable in capturing the relationship between radiation intensity and panel efficiency. Meanwhile, the Support Vector Regression algorithm obtained an accuracy of 80.00 %.
Analisis Konsentrasi Partikulat di Kota Makassar Periode 2019-2023 Rahim, Husnul Fahma; Sri Suryani
JFT : Jurnal Fisika dan Terapannya Vol 12 No 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v12i1.56828

Abstract

This study aims to analyze the concentration of particulate matter, specifically PM2.5 and PM10, in Makassar City during the period from 2019 to 2023. Air quality in Makassar has become a growing concern due to the significant impact of air pollution on public health, especially among vulnerable groups such as children, the elderly, and individuals with chronic illnesses. The method used in this study is a secondary data analysis obtained from the Makassar City Environmental Agency (DLHD). The results show fluctuations in PM2.5 and PM10 concentrations, with a significant decline during the COVID-19 pandemic (2020–2021) and a sharp increase in 2022–2023. The lowest annual average concentration of PM10 was recorded in 2021 at 10.54 µg/m³, while the highest occurred in 2023 at 16.28 µg/m³. For PM2.5, the lowest concentration was recorded in 2021 at 11.05 µg/m³, and the highest in 2023 at 17.83 µg/m³. Seasonal factors such as rainfall, along with economic recovery and the increase in motor vehicle use, are identified as the main contributors to changes in particulate concentrations. These findings highlight the need for more adaptive air pollution control policies.
Analisis Konsentrasi Karbon Monoksida (CO) di Kota Makassar Periode 2019 - 2023 Asdar, Meisya Putri Indrayani; Sri Suryani
JFT : Jurnal Fisika dan Terapannya Vol 12 No 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v12i1.56832

Abstract

Carbon monoxide (CO) is a hazardous gas produced by motor vehicles and industrial activities, with increasing concentrations in the air. Makassar, as a center of economy and urbanization, faces major challenges related to air quality. Efforts to reduce CO emissions are important to improve air quality and public health in Makassar City. The purpose of this study was to identify fluctuations in CO concentration trends in Makassar City during the period 2019 to 2023, to determine whether there was an increase, decrease, or a certain pattern and to see the factors that influenced it. The results showed that the CO concentration analyzed based on annual data showed a significant increase in CO emissions related to transportation, industrial, and urbanization activities. The analysis showed that urbanization, the number of motor vehicles, and weather patterns affected changes in CO levels. The CO concentration in Makassar showed an annual fluctuation of 1072.88%, which is considered very high, especially due to the large spike in CO concentration in 2022.
Evaluasi Air dan Oli sebagai Material Dasar Phantom Anechoic untuk Aplikasi Ultrasonography (USG) Maulani Qonitin; Harsoyo, Imam Tri; Yugiantoro, Darojat; Ibad, Asyrofil
JFT : Jurnal Fisika dan Terapannya Vol 12 No 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v12i1.57163

Abstract

The increasing demand for ultrasonography (USG) phantoms for training and equipment calibration highlights the need for effective and affordable local alternatives. This study investigates two base materials water and oilas anechoic phantom media through a laboratory-based experimental approach. Phantoms were constructed by placing two test objects a gasoline filled straw and a piece of Styrofoam into separate containers filled with each medium, then scanned using the Mindray DP-10 ultrasound device. Measurements of object diameter and depth were conducted five times to assess precision and image quality. Numerical data and visual outputs were analyzed comparatively to evaluate acoustic characteristics, image clarity, noise level, and stability. The findings reveal notable differences in imaging performance between the two materials, reflecting the influence of acoustic impedance and viscosity on phantom effectiveness in USG applications.
Kinerja Filter Membran Kitosan-Kulit Udang/PVA Berbasis Karbon Aktif pada Pengolahan Air Siring Sungai Kayan, Kalimantan Utara Sari, Ayu LIngga Ratna; Sulaiman, Dady; Ulva , Siti Maria
JFT : Jurnal Fisika dan Terapannya Vol 12 No 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v12i1.57186

Abstract

Raw water treatment into clean water that meets quality standards is a significant challenge. One method of water treatment is using membrane filtration. In this study, membrane filtration utilized chitosan (shrimp shell) and PVA with activated carbon variations. Activated carbon possesses a large pore structure, allowing various contaminants to be trapped. The membranes were tested for flux and permeability using a dead-end flow system. Meanwhile, the quality of the filtered water was evaluated by measuring TDS and pH. The research results show that the chitosan (shrimp shell) and PVA membranes with activated carbon addition exhibit good performance, as seen from the flux test, permeability test, and membrane performance in water treatment. Specifically, M2, with a 1% activated carbon mixture, demonstrated better flux and permeability values compared to other membrane samples. For M2, flux values of 1.26 L/cm².hr, 5.75 L/cm².hr, and 6.10 L/cm².hr were obtained with increasing pressure applied to the membrane at 0.5, 1, and 1.5 Bar, respectively. It also had a permeability value of 4.11 L/cm².hr.Bar, which is higher than other membranes. Water quality test results also showed good outcomes, indicated by a decrease in pH and TDS values.
Uji Kuat Tekan dan Kekerasan dengan Variasi Komposisi dan Ukuran Partikel pada Biobriket Tempurung Kelapa (Cocos Nucifera), Tongkol Jagung (Corn Cob) dan Kotoran Sapi Kalsum, Ummi; Sahara; Jumardin, Jumardin
JFT : Jurnal Fisika dan Terapannya Vol 12 No 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v12i1.57733

Abstract

This study aims to examine the mechanical characteristics of briquettes made from a mixture of coconut shells, corn cobs, and cow dung with tapioca adhesive. Briquettes were tested based on their mechanical properties for density using a vernier caliper and for compressive strength and hardness using a Universal Testing Machine (UTM). Samples were made in different mixture compositions with particle sizes of 60 mesh and 100 mesh. The results showed that variations in particle size and material composition significantly affected the quality of biobriquettes. Biobriquettes with a particle size of 100 mesh have higher density, compressive strength, and hardness than 60 mesh particles. The material composition with a ratio of 44:44:12 produced the best characteristics with a density value of 0.94 g/cm³, compressive strength of 9.32 kg/cm², and hardness of 41.10 HB. This study proved that biobriquettes meet the criteria as an environmentally friendly alternative fuel and have the potential to reduce biomass waste while providing efficient renewable energy.
Analisis Kontur Isodosis Radiasi Sinar-X di Instalasi Radiologi Rumah Sakit Umum Daerah Labuang Baji Makassar Normawati, Sitti; Jumardin, Jumardin; Ulandari, Resky; Dg Manarang, Hidayat
JFT : Jurnal Fisika dan Terapannya Vol 12 No 1 (2025): Juni 2025
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v12i1.57807

Abstract

Isodosis contour analysis using surfer type 21 software has been conducted in the radiology installation of Labuang Baji Hospital Makassar to determine the safest distance for radiology medical personnel while in the X-ray aircraft area. Measurements were carried out before and during exposure to a water phantom using an X-ray aircraft with a surveymeter. Radiation exposure rates were measured at 8 track locations in the X-ray aircraft room, consisting of 16 points located on the track (A, B, C, D, E, F, G, H) at 1 m and 1.5 m heights. The processed data showed that the highest radiation exposure dose was in the E-1 track (in front of the X-ray plane), which was 0.001791 mSv with a radiation dose exposure rate of 43.320 mSv/hour for a height of 1 m and 0.001228 mSv in the A-1 track for a height of 1.5 m with a radiation dose exposure rate of 29.7997 mSv/hour. The isodose contours also show variations in the number of passes and different colors for each radiation exposure dose value. The findings of this study indicate that the radiation exposure dose is 0 mSv at a distance of more than 2 m from the X-ray plane, so the radiologist is within safe limits to perform radiodiagnostic procedures.

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