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Andi Syam Rizal
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Jurnal Fisika dan Terapannya
Published by Universitas Islam Negeri Alauddin Makassar
ISSN : 23021497     EISSN : 27152774     DOI : -
Core Subject : Science,
Physics
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.
Arjuna Subject : Fisika dan Astronomi - Fisika dan Astronomi (Lain-Lain)
Articles 191 Documents
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Kajian Konsep Fisika Kinematika Gerak pada Hero Khufra (Skill Tyrent’s Revenge) dalam Game Online Mobile Legends Bang Bang Agus Anwar; Munir, Rahmawati; Inu Natalisanto, Adrianus; Djayus; Rayzy Perwitasari Sutaji Putri, Devina
JFT : Jurnal Fisika dan Terapannya Vol 11 No 2 (2024): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v11i2.52568

Abstract

In the Mobile Legends Bang Bang game, one aspect related to motion kinematics is the charging time for the hero Khufra, which influences the distance of displacement from the starting point to the endpoint. As a result, it is necessary to study the concept of kinematic motion in this game, particularly focusing on the use of Khufra's Tyrent's Revenge skill. This study aims to explore the concept of motion kinematics in Mobile Legends Bang Bang and examine how the charging duration of Khufra's Tyrent’s Revenge skill affects the displacement distance. The research utilizes data in the form of video recordings showcasing the use of Tyrent’s Revenge by Khufra in the game. The videos are analyzed using video tracking software that can generate visualization of graphs, time, and distance of movement. The data obtained is then entered into Excel software to determine the linear regression curve and calculate the R-Squared (R^2) value. The results of this research show that in the game Mobile Legends Bang Bang, the kinematics of motion can be described through the displacement distance of the Khufra’s hero from the starting point to the end point. The analysis results indicate a linear regression curve with the equation y = 0.4422x - 1.0723 and an R² value of 0.9757. A value of R2 approaching 1 indicates a strong influence of launch time on the displacement distance of Khufra’s hero.
Desain Sistem Monitoring Kelembapan Tanah, Suhu, dan Intensitas Ultraviolet Menggunakan Arduino Mega 2560 Berbasis Internet of Things (IoT) Pramono, Subur; Ulum, Miftahul; Rudiana; Safitri, Ramona Dyah
JFT : Jurnal Fisika dan Terapannya Vol 11 No 2 (2024): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v11i2.52790

Abstract

We have successfully developed a monitoring system of soil moisture, temperature, and ultraviolet based on the Internet of Things (IoT) using Arduino Mega 2560. The sensors used to measure soil moisture, temperature, and ultraviolet are the soil moisture sensor, DHT-11 sensor, and GY-ML8511 sensor. Node MCU ESP8266 application is used to communicate between Arduino Mega 2560 and smartphones. Outputs of soil moisture sensors are connected to the water pump and blower. The water pump is on when soil moisture is below 60% and else it is off, the blower is on when soil moisture is above 80%. In this study, we don’t use the time parameter in the water pump or blower. Meanwhile, temperature and ultraviolet sensors were just used to monitor the system considered. The largest ultraviolet intensity measured by ML8511 sensors is squared at the value ADC is 123 and voltage 1,01V. Based on the testing system, it was obtained that the system is optimally operated
Analisis Kondisi Peta Persebaran Pencahayaan dan Kebisingan di PT. Pamapersada Nusantara Distrik Baya Menggunakan Software Surfer R, Andrian; Munir, Rahmawati; Putri, Devina; Wardani, Wardani; Mislan, Mislan
JFT : Jurnal Fisika dan Terapannya Vol 11 No 2 (2024): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v11i2.52230

Abstract

This research was motivated by the issues of lighting and noise in the mining company. Insufficient lighting could lead to accidents and eye strain, while noise from heavy machinery could cause health problems and reduce workers' performance. Therefore, this study aimed to identify and map areas with levels of lighting and noise at PT. Pamapersada Nusantara Distrik Baya, as well as to analyze the distribution map based on SNI 16-7062-2004 for lighting and SNI 8427:2017 for noise. The results of the study showed that there was a variation in lighting and noise levels in different areas, caused by factors such as light source obstructions like large parked units in the measured area and working hours. Areas with suboptimal lighting often hindered workers' tasks, while areas with high noise levels posed a risk of hearing loss. The conclusion of this study indicated that the variation in lighting and noise levels in the work areas of PT. Pamapersada Nusantara Distrik Baya was significantly influenced by environmental conditions during working hours. The recommendations provided by PT. Pamapersada Nusantara Distrik Baya to improve employee comfort and performance included the equalization and maintenance of lighting and noise infrastructure.
Potensi Pemanfaatan Limbah Tulang Ikan Sunu (Plectropomus Leopardus): Analisis FTIR dan XRF untuk Karakterisasi Serbuk Material Rani, Sefrilita Risqi Adikaning; Ihsan, Ihsan; Asriani, Asriani; Putri, Ananda Anidya
JFT : Jurnal Fisika dan Terapannya Vol 11 No 2 (2024): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v11i2.52274

Abstract

This study aims to investigate the potential utilization of fish bone waste from Sunu as a material source through characterization analysis using FTIR (Fourier Transform Infrared Spectroscopy) and XRF (X-ray Fluorescence). The results of the FTIR analysis show characteristic peaks indicating the presence of important functional groups such as hydroxyl, phosphate, and carbonate. The presence of calcium phosphate as a major component suggests the potential of this bone powder for biomedical applications, such as the production of bone implants and bioceramic materials. Additionally, the XRF analysis reveals high concentrations of calcium (84.8%) and phosphorus (13.5%), along with other relevant oxides, indicating its potential use as a nutritional supplement and building material. Overall, this study demonstrates that fish bone powder from Sunu holds significant potential for applications in the fields of health, food, and composite materials, while also supporting sustainability in fisheries waste management.
Karakterisasi Gugus Fungsi dan Sifat Fisik Komposit ZnO-PVA-Pati dari Kulit Pisang Goroho sebagai Bioplastik Antibakterial Aisyah, Aisyah; Jahja, Mohamad; Mursalin, Mursalin; Irsan, Irsan; Ramadani, Andi Indra Wulan Sari
JFT : Jurnal Fisika dan Terapannya Vol 11 No 2 (2024): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v11i2.53109

Abstract

Plastic is one of the most widely used materials in everyday life to support various activities due to its versatile characteristics and functions. Bioplastic is one type of plastic that is easily decomposed naturally by microorganisms so that it becomes a more environmentally friendly compound. This study aims to analyze the characterization of functional groups and physical properties in goroho banana peel starch-based bioplastics with the addition of ZnO and PVA. The method used in this research is laboratory experimental method. The potential of goroho banana peel waste is abundant in Gorontalo Province and the starch content in goroho banana peel is 80.89%, so this research uses starch extracted from goroho banana peel with variations of ZnO addition (0.2%, 0.4%, 0.6%, 0.8%, 1%). The results showed that the addition of ZnO and PVA affected the functional groups and physical properties of bioplastics. The physical properties of bioplastics produced are in accordance with SNI standards, namely the amount of water uptake ranging from 1.39 to 8.21% and the length of bioplastics degraded on average less than 30 days.
Kualitas Biobriket Variasi Komposisi Tempurung Kelapa, Kulit Kacang Tanah, dan Tinja Sapi sebagai Sumber Energi Alternatif Safitri, Aan; Sahara, Sahara; Jumardin, Jumardin
JFT : Jurnal Fisika dan Terapannya Vol 11 No 2 (2024): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v11i2.53708

Abstract

Penelitian fokus pada pengujian biobriket dari komposisi arang tempurung kelapa, kulit kacang tanah, dan tinja sapi dengan perekat tepung kanji. Penelitian ini bertujuan untuk mengetahui kualitas briket yang meliputi parameter kerapatan, kadar air, kadar abu, dan nilai kalor berdasarkan standar SNI. Penelitian ini menggunakan metode karbonisasi untuk tempurung kelapa dan kulit kacang dan pada perlakuan bahan tinja sapi menggunakan metode tanpa karbonisasi. Hasil penelitian menunjukkan bahwa nilai kadar air, kadar abu dan nilai kalor optimal diperoleh pada sampel D masing-masing sebesar 3,5%, 1% dan 5483,26 kal/gram. Untuk pengujian nilai kerapatan briket dari rentang 0,58 gr/??3 sampai 0,77 gr/??3. Dari keseluruhan komposisi semuanya memenuhi standar SNI briket dengan sampel terbaik pada komposisi sampel D yang terdiri dari 45% tempurung kelapa, 30% kulit kacang tanah, 15% tinja sapi dan perekat sebanyak 10%.
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 %.

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