Jurnal Fisika Unand
Not a member yet
7255 research outputs found
Sort by
Peningkatan Akurasi Interpretasi Aliran Darah pada Citra Color Doppler Echocardiography (CDE) dengan Metode De-Aliasing
Full text linkColor Doppler Echocardiography (CDE) is an echocardiographic imaging technique that utilizes the Doppler effect principle to produce images of the heart. However, CDE images often contain aliasing artifacts that can hinder the interpretation of blood flow. This study aims to eliminate aliasing in CDE images of the apical 4-chamber view through the application of a de-aliasing method using MATLAB R2016b, and to evaluate the performance of this method in improving the accuracy of blood flow interpretation across all cardiac structures. The de-aliasing method corrects folded velocity values by extending the Nyquist velocity range. The results show that the maximum velocity value increased after the de-aliasing process, indicating that the Nyquist velocity range was successfully expanded. Furthermore, the method effectively reconstructed the folded velocity values back into a valid range. Visual errors in the form of color inversion were corrected by adjusting the color scheme of the image. Evaluation of the de-aliasing method’s performance demonstrated an improvement in the accuracy of blood flow interpretation throughout the cardiac structures.Color Doppler Echocardiography (CDE) adalah teknik pencitraan ekokardiografi yang memanfaatkan prinsip efek Doppler untuk menghasilkan gambar jantung. Citra CDE sering mengandung masalah aliasing yang dapat menghambat proses interpretasi aliran darah. Penelitian ini bertujuan untuk menghilangkan masalah aliasing pada citra CDE apical 4-chamber view dengan penerapan metode de-aliasing menggunakan software MATLAB R2016b dan mengevaluasi kinerja metode de-aliasing dalam meningkatkan akurasi interpretasi aliran darah di seluruh struktur jantung. Metode de-aliasing mengoreksi nilai kecepatan yang terlipat dengan memperluas rentang kecepatan Nyquist. Hasil yang didapatkan dari penelitian ini yaitu nilai kecepatan maksimum setelah proses de-aliasing meningkat, menunjukkan bahwa rentang kecepatan Nyquist berhasil diperluas. Metode de-aliasing mampu merekonstruksi nilai kecepatan yang terlipat kembali ke dalam rentang kecepatan yang valid. Kesalahan visual berupa pembalikan warna pada citra berhasil diperbaiki dengan mengubah skema warna pada citra. Evaluasi terhadap kinerja metode de-aliasing menunjukkan bahwa akurasi interpretasi aliran darah diseluruh struktur jantung berhasil ditingkatkan
Identifikasi Potensi Mineral Nikel Laterit Menggunakan Data Geomagnetik EMM (Enchanted Magnetic Model) 2017 di Kecamatan Poli Polia
Full text linkA 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.Telah dilakukan penelitian memanfaatkan data geomagnetik sekunder Enhanced Magnetic Model (EMM) 2017. Penelitian ini bertujuan untuk mengidentifikasi potensi keberadaan serta sebaran lateral mineral nikel laterit di Kecamatan Poli Polia. Tahapan pengolahan data meliputi koreksi International Geomagnetic Reference Field (IGRF), transformasi Reduce to Pole (RTP), serta pemisahan anomali regional dan residual. Selanjutnya, analisis dan interpretasi dilakukan dengan membandingkan peta anomali residual terhadap peta geologi regional. Hasil transformasi RTP diperoleh nilai anomali magnetik residual berkisar antara -0,8 nT hingga 0,7 nT dengan nilai anomali tinggi berkisar dari 0,5 nT hingga 0,7 nT dan rendah berkisar antara -0,8 nT hingga -0,6 nT. Di bagian barat daya wilayah penelitian terdapat zona anomali magnetik rendah yang dikelilingi oleh zona anomali magnetik rendah, sedangkan di bagian utara sebaliknya. Hasil interpretasi data menunjukkan zona anomali tinggi di bagian barat daya berhubungan dengan keberadaan Kompleks Ultramafik (Ku) yang tersusun atas batuan peridotit dan serpentin, sedangkan zona anomali rendah diinterpetasikan sebagai area prospektif yang mengandung mineral nikel laterit. Sementara itu, di bagian utara zona anomali rendah berkorelasi dengan Kompleks Mekongga (Pzm) yang tersusun atas batuan metamorf dan batuan sedimen. Adanya zona anomali tinggi pada area ini mengidikasikan terdapatnya kelurusan geologi seperti sesar atau kekar yang memainkan peran penting dalam meningkatkan respon magnetik lokal
Dataset: Psychological and Oculomotor Responses to Biophilic Urban Interventions in Virtual Reality across Socioeconomic Contexts
No full textThis dataset contains the experimental data collected for a study investigating the psychological and attentional effects of biophilic urban interventions using immersive Virtual Reality (VR). The data was obtained from a within-subjects experimental design involving 16 participants who viewed fixed-viewpoint 360° video footage of urban environments in Almería (Spain). The stimuli represent three distinct socioeconomic statuses (Low, Medium, and High SES), presented under two experimental conditions: Original (baseline) and Bio-aesthetically Enhanced.
The dataset includes processed variables suitable for Repeated Measures ANOVA (RM-ANOVA) and correlational analysis, specifically:
Psychometric/Subjective Measures: Positive and Negative Affect (PANAS); Perceived Stress and Relaxation ratings; Aesthetic Evaluation and Subjective Liking scores.
Oculomotor/Eye-Tracking Metrics: Fixation Count and Average Fixation Duration; Saccadic Velocity and Amplitude; Time to First Fixation (TTFF) and Average Dwell Time; Area of Interest (AOI) Coverage.
These data support the findings regarding the "equigenic" potential of biophilic design and the "nature gaze" mechanism in immersive environments. The files are provided in XLSX format
Evaluation of pretreatments used to obtain hydrolysates from microalgae biomass, and their effects on the recovery of carotenoids and fatty acids intended for agriculture applications
No full textMicroalgae are considered a promising raw material for a variety of applications thanks to their nutritional
profile. However, the rigid cell walls of certain species require pretreatments to facilitate the release of bioactive
compounds. This study evaluated the impact of different pretreatments, including high-pressure homogenization
(HPH), milling with alumina (M-AL), ultrasound (US), and microwave (MW), on protein hydrolysis and the
recovery of fatty acids and carotenoids from the biomass of Nannochloropsis gaditana, Isochrysis galbana and
Arthrospira platensis. All pretreatments significantly influenced protein hydrolysis. US at 80 % intensity resulted
in the highest degree of hydrolysis (DH) for I. galbana (77 %), followed by N. gaditana (62 %). However,
A. platensis showed no improvement compared to the control. Carotenoid recovery varied among species: the
highest yield was achieved by N. gaditana (195 %) with US at 80 %, followed by I. galbana (180 %) with MW at
360 W, while the lowest recovery was observed in A. platensis (133 %) with HPH at 800 bar. Fatty acid yields also
increased, with N. gaditana reaching 113 % (HPH at 800 bar) and 116 % (US at 80 %), and I. galbana reaching
112 % and 124 % under the same conditions. The highest recoveries in A. platensis were obtained with HPH at
400 and 800 bar (139 % and 135 %, respectively), compared to the untreated control. The bioactivity of the
hydrolysates was assessed through the germination index of garden cress seeds. Only I. galbana hydrolysates
enhanced germination, suggesting that specific pretreatments can improve the recovery of functional compounds
from microalgae
Development of an Integrated Artificial Intelligence Model for Bottle Inspection Using Geometric Feature Extraction and ROI-Based Statistical Analysis
Full text linkIn the era of Industry 4.0, the demand for manufacturing systems that are fast, precise, and efficient has become increasingly urgent. This drives the adoption of artificial intelligence (AI) technologies as a promising solution, including in the field of automatic bottle sorting. However, many industries still use manual bottle sorting systems, which often have significant drawbacks. This study presents an integrated artificial intelligence (AI)-based inspection model for automated bottle inspection in the context of smart manufacturing. The proposed approach integrates geometric feature extraction with region-of-interest (ROI)-based statistical image analysis to improve classification accuracy and robustness. Geometric features extracted from bottle contours are combined with optimized ROI selection to enhance feature relevance prior to classification using a Random Forest algorithm. The dataset consists of four bottle types: plastic, glass, cans, and cardboard, captured under controlled imaging conditions. Experimental results show that the proposed integrated method achieves classification accuracy ranging from 96% to 97.72%. The findings confirm that ROI optimization significantly influences statistical feature characteristics and improves overall model performance. This integrated framework is suitable for implementation in automated visual inspection systems supporting Industry 4.0 applications
Klasifikasi Multi-Kelas Kanker Paru Berbasis Ekstraksi Fitur Hibrida GLCM, LBP dan Gabor Filter Menggunakan Algoritma Random Forest dan KNN pada Citra CT-Scan
Full text linkThis study aims to improve the multi-class classification performance of Non-Small Cell Lung Cancer (NSCLC) based on CT-Scan images through a hybrid feature extraction approach. The method combines Gray Level Co-occurrence Matrix (GLCM), Local Binary Pattern (LBP), and Gabor Filter features, classified using Random Forest and K-Nearest Neighbor (KNN) algorithms. The dataset includes four image classes: adenocarcinoma, large cell carcinoma, squamous cell carcinoma, and normal. Model performance was evaluated using accuracy, sensitivity, specificity, and area under curve (AUC) metrics. The results show that the GLCM+LBP feature combination with the Random Forest algorithm achieved the best performance with an accuracy of 99.22%. The model effectively recognizes both global and local texture variations of lung tissue and remains stable in distinguishing all image classes. It can be concluded that the hybrid texture feature combination and ensemble algorithm produce an accurate, efficient, and potentially applicable classification model for computer-aided diagnosis in medical physicsPenelitian ini bertujuan untuk meningkatkan kinerja klasifikasi multi-kelas kanker paru jenis Non-Small Cell Lung Cancer (NSCLC) berbasis citra CT-Scan melalui pendekatan ekstraksi fitur hibrida. Metode yang digunakan menggabungkan fitur Gray Level Co-occurrence Matrix (GLCM), Local Binary Pattern (LBP), dan Gabor Filter yang diklasifikasikan menggunakan algoritma Random Forest dan K-Nearest Neighbor (KNN). Dataset terdiri dari empat kelas citra, yaitu adenocarcinoma, large cell carcinoma, squamous cell carcinoma, dan normal. Evaluasi kinerja dilakukan menggunakan metrik akurasi, sensitivitas, spesifisitas, dan Area Under Curve (AUC). Hasil menunjukkan bahwa kombinasi fitur GLCM+LBP dengan algoritma Random Forest menghasilkan performa terbaik dengan akurasi 99,22%. Model ini terbukti efektif dalam mengenali variasi tekstur global dan lokal jaringan paru serta stabil dalam membedakan setiap kelas citra. Penelitian ini menyimpulkan bahwa kombinasi fitur tekstur hibrida dan algoritma ensemble mampu menghasilkan model klasifikasi yang akurat, efisien, serta berpotensi untuk dikembangkan sebagai sistem pendukung diagnosis otomatis dalam bidang fisika medis
Aplikasi Metode Geolistrik Resistivitas untuk Menentukan Zona Lemah (Studi Kasus: Wilayah Episenter Gempabumi di Kecamatan Lalolae, Kabupaten Kolaka Timur)
Full text linkResearch was conducted on the weak zones at the epicenter of the earthquake in Lalolae District, East Kolaka Regency, utilizing the Wenner 2D resistivity geophysical method. This study involved five measurement lines, each 150 meters in length, with a spacing of 10 meters between electrodes. The data analysis revealed that resistivity values across each line were heterogeneous, ranging from low to high resistivity at varying depths. Low resistivity (<100 Ωm), indicated in blue, corresponds to sandy alluvium resulting from the weathering of schistose rocks, which are classified as weak zones. Medium resistivity (>100 Ωm) is situated above the low resistivity layer and transitions into the high resistivity layer across each measurement traverse, identified as gneiss rock. High resistivity (>200 Ωm) extends along the measurement path at varying depths and is classified as quartzite rock.Penelitian mengenai zona lemah di wilayah episenter gempabumi di Kecamatan Lalolae Kabupaten Kolaka Timur telah dilakukan dengan menggunakan metode geolistrik resistivitas 2D konfigurasi Wenner sebanyak lima lintasan dengan panjang masing-masing lintasan adalah 150 meter dan spasi antar elektroda 10 meter. Berdasarkan hasil analisis data yang telah dilakukan diperoleh bahwa nilai resistivitas pada setiap lintasan tidak homogen, mulai dari resistivitas rendah hingga tinggi dengan kedalaman yang bervariasi. Resistivitas rendah (<100 Ωm) ditandai warna biru yang diidentifikasi sebagai alluvial pasiran hasil lapukan batuan sekis, lapisan ini merupakan zona lemah. sedang (>100 Ωm) berada di atas lapisan resistivitas rendah dan menerobos lapisan resistivitas tinggi pada setiap lintasan pengukuran, diidentifikasi sebagai batuan genes. Resistivitas tinggi (>200 Ωm), membentang disepanjang lintasan pengukuran dengan kedalaman yang bervariasi, diidentifikasi batuan kuarsit
Identifikasi Potensi Mineralisasi Emas di Kecamatan Sangir menggunakan Data Geomagnetik EMM 2017
Full text linkIndonesia 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.Indonesia merupakan salah satu negara yang memiliki potensi sumber daya mineral emas yang signifikan, khususnya pada wilayah yang berada di sepanjang jalur magmatik Sumatera. Penelitian ini bertujuan untuk mengidentifikasi potensi persebaran mineralisasi emas di Kecamatan Sangir, Kabupaten Solok Selatan, menggunakan data geomagnetik sekunder. Data yang digunakan berupa model Enhanced Magnetic Model (EMM) 2017 yang diperoleh dari National Oceanic and Atmospheric Administration (NOAA). Pengolahan data dilakukan melalui tahapan koreksi IGRF, perhitungan anomali magnetik total, pemisahan anomali regional dan residual dan transformasi reduksi ke kutub (RTP) menggunakan perangkat lunak Oasis Montaj. Hasil penelitian menunjukkan bahwa anomali residual setelah reduksi ke kutub berkisar antara −1,0935 hingga 1,1861 nT. Berdasarkan kondisi geologi setempat, zona dengan anomali magnetik rendah yang berkembang di bagian tengah hingga barat wilayah penelitian diinterpretasikan sebagai zona alterasi dan rekahan yang berpotensi menjadi jalur pergerakan fluida hidrotermal. Zona dengan anomali magnetik sedang hingga tinggi yang berkembang di bagian timur, timur-tengah, dan tenggara wilayah penelitian diinterpretasikan sebagai respon dari batuan bermagnet tinggi yang berasosiasi dengan mineral sulfida (pirit) dan sistem porfiri, sehingga zona tersebut diidentifikasi sebagai zona prospektif yang berpotensi mengandung mineralisasi emas
ANALYTICAL CONTROL OF TRIAZOLE FUNGICIDES AND THEIR METABOLITES IN AGRICULTURAL AND PLANT PROTECTION PRODUCTS.
No full textTesis doctoral en período de exposición públicaLa Tesis Doctoral titulada “Control analítico de fungicidas triazólicos y sus metabolitos en productos agrícolas y
fitosanitarios” aborda un tema de gran relevancia científica y aplicada, centrándose en el control de la familia de
fungicidas triazólicos y sus metabolitos. De esta forma, aporta información relacionada con el comportamiento de
dichos plaguicidas en muestras del sector agroalimentario. Para ello, se aborda el problema relativo al control de
fungicidas triazólicos y sus metabolitos desde una perspectiva integral, considerando su estudio no sólo en
muestras de diferentes matrices hortofrutícolas, de especial relevancia en Andalucía, sino también en los productos
fitosanitarios que se aplican en la producción agroalimentaria.
Para tal fin, se han empleado tres métodos de tratamiento de muestra: diluir y pinchar, para los productos
fitosanitarios, y la extracción sólido-líquido (Solid-Liquid Extraction, SLE) y el método QuEChERS (acrónimo por
sus siglas en inglés: Quick, Easy, Cheap, Effective, Rugged y Safe) para la determinación de fungicidas triazólicos
en productos agrícolas. Posteriormente se ha realizado el análisis mediante dos técnicas cromatográficas
ampliamente utilizadas, como son la cromatografía de líquidos de ultra alta resolución (Ultra-High Performance
Liquid Chromatography, UHPLC) y la cromatografía de gases (Gas Chromatography, GC), ambas acopladas a
analizadores de espectrometría de masas de alta resolución (High Resolution Mass Spectrometry, HRMS). Se han
usado dos enfoques de análisis: dirigido y no dirigido, aplicándose este último tanto en el modo de trabajo de
análisis de sospechosos (suspect screening) y el de análisis de desconocidos (unknown analysis), posibilitando un
análisis integral de los problemas abordados en esta Tesis Doctoral.
Los trabajos desarrollados se han dividido en dos bloques. El primero se ha focalizado en el análisis de la
composición de los productos fitosanitarios que contienen fungicidas triazólicos, concretamente a la detección e
identificación de coformulantes. Se ha realizado un estudio mediante el desarrollo y validación de un método
basado en UHPLC-Q-Orbitrap-MS y otro en GC-Q-Orbitrap-MS.
En definitiva, la Tesis presenta un enfoque innovador en la identificación, cuantificación y control de compuestos
con impacto directo en la seguridad alimentaria y en el medio ambiente. Para ello, ha sido necesario realizar la
optimización de diferentes tratamientos de muestra y la validación de métodos analíticos. Por otro lado, se plantean
estudios de toxicidad de coformulantes detectados en los productos fitosanitarios que contienen fungicidas
triazólicos, así como de los metabolitos de flutriafol y penconazol. El trabajo aporta avances metodológicos y
resultados que contribuyen significativamente al conocimiento actual en el ámbito del análisis químico.8911 Doctorado en Química Avanzada (RD99/11
Analisis Efektivitas Filtrasi Sederhana terhadap Kualitas Fisik-Kimia Air Sumur Bor dan Sungai Kahayan untuk Mitigasi Dampak Lingkungan
No full textThe purpose of this study was to determine the effectiveness of the filter before and after filtration so that the water complies with water quality standards. The research method used a quantitative method with a field and laboratory experimental approach to test changes in air quality after going through a filtration process using a simple system designed. Based on research obtained from the laboratory, there was an increase in the effectiveness of well water quality of 95.65%, dissolved manganese (mn) of 83.87%, the color looked clearer with an increase of 68.47%, dissolved iron (Fe) of 14.63%, air acidity (pH) of 7.16%, nitrite (NO2) of 1.43%. While for river water the TSS value was 40.82%, dissolved oxygen (DO) of 121.03%, chemical oxygen demand (COD) of 14.16%, biological oxygen demand (BOD) of 12.82% and an increase in pH of 4.17%. The filter designed in this study is effective for use in water wells because it is able to filter and improve the quality of groundwater because it complies with water quality standards, namely PP No. 22 of 2021, while for river water it is still less effective in addressing air quality, especially in TSS and BOD values.Air yang berasal dari sumur bor dan sungai merupakan bagian yang terpenting dan sering digunakan untuk kebutuhan sehari-hari. Penggunaan air untuk kegiatan manusia, perlu diperhatikan kualitas air tersebut. Tujuan penelitian ini untuk mengetahui efektivitas filter sebelum dan setelah dilakukan filtrasi agar air sesuai dengan standar baku mutu air. Metode penelitian yang digunakan metode kuantitatif dengan pendekatan eksperimen lapangan dan laboratorium untuk menguji perubahan kualitas air setelah melalui proses filtrasi menggunakan sistem sederhana yang dirancang. Dilakukan pengujian sebelum dan setelah filtrasi pada air Sungai Kahayan dan air sumur bor terjadi peningkatan efektivitas kualitas air sumur bor yaitu 95,65 %, mangan (mn) terlarut sebesar 83,87%, warna terlihat lebih jernih dengan peningkatan sebesar 68,47%, besi (Fe) terlarut sebesar 14,63%, derajat keasaman air (pH) sebesar 7,16%, nitrit (NO2) sebesar 1,43% dari kondisi awal. Sedangkan untuk air sungai sebesar 121,03 %, dissolved oxygen (DO) sebesar 40,82%, chemical oxygen demand (COD) sebesar 14,16%, biological oxygen demand (BOD) sebesar 12,82% dan peningkatan pH sebesar 4,17%. Filter air mampu menyaring dan meningkatkan kualitas air