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All Journal Bumi Lestari BULETIN FISIKA Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Physical Review Kappa Journal
Yuliara, I Made
Physics Departement, Faculty Of Mathematics And Science, Udayana University, Denpasar, Bali, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Materials Science & Nanotechnology Physics Other

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ANALYSIS OF THE EFFECT OF THE X-RAY TUBE CURRENT ON UNIFORMITY IMAGE NOISE VALUES Mberato, Anastasya Jessning Gamalita Mberato; Ratini, Ni Nyoman; Yuliara, I Made; Irhas, Rozi
Indonesian Physical Review Vol. 6 No. 1 (2023)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v6i1.183

Abstract

This research aimed to evaluate the effects of the X-ray current tube on the uniformity value of CT image noise. This research used the CT images of Siemens head water phantom. The phantom was scanned with a Siemens Somatom Scope CT scanner for various current tubes (i.e., 180 mAs, 200 mAs, 220 mAs, 240 mAs, and 260 mAs) on tube voltage 110 kV, slice thickness 3 mm, and FOV 240 mm. The uniformity values in CT image noise were analyzed using the standard deviation value (SD). The SD was measured by the ROI process in 5 different locations, in the center and at 3 o'clock, 6 o'clock, 9 o'clock, and 12 o'clock on the images CT. Based on the result of a simple linear regression test using IBM SPSS ver 25, it was found that the current tube significantly affected the uniformity value of image noise (r2=0,9768, p<0,05). This result showed that increasing the current tube can reduce image noise uniformity. The highest image noise uniformity value was at a current at 180 mAs with 0,217 HU, and the lowest was at 260 mAs with 0,031 HU. This result also shows that all the values are less than 2 HU and still within the acceptable limit by the BAPETEN standard regulation.
CORRELATION OF ATMOSPHERIC LABILITY INDEX TO VERTICAL WIND SHEAR AT I GUSTI NGURAH RAI AIRPORT Yasa, I Made Tinggal; Yuliara, I Made; Sumaja, Kadek
Indonesian Physical Review Vol. 6 No. 1 (2023)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v6i1.188

Abstract

Wind shear is a condition that is detrimental to aircraft because it can cause the aircraft to experience lift, especially during take-off or landing, where wind shear can occur due to bad and unstable weather, so research on the correlation of the atmospheric lability index to wind shear is very important to prevent a plane crash. This research aims to determine the magnitude of the correlation of the atmospheric lability index to the vertical wind shear that occurs at I Gusti Ngurah Rai Airport, Bali. In this research, the Wind Profiler Radar (WPR) brand scintec LAP-3000 was used to obtain wind shear data in the form of wind direction and wind speed data then radiosonde to obtain atmospheric lability index data in the form of Lifted Index (LI), Total-Totals Index (TT), K-Index (KI), and Convective Available Potential Energy (CAPE) index values for each month in 2019-2020. Wind shear measurement was carried out at an altitude of 100-3000 m and data were taken on the difference in wind direction ≥ 60o and the difference in wind speed ≥ 10 knots. Meanwhile, measurement of the atmospheric lability index is carried out by a flying air balloon that has been equipped with a transmitter. All LI, TT, KI, and CAPE index value data and the number of wind shear events were analyzed with Pearson Product Moment correlation. The value of the correlation coefficient (r) between the LI, TT, KI, and CAPE indices was obtained for successive wind shear events of -0.786; 0,250; 0.738, and 0.713. These results show that the LI, KI, and CAPE index values can be used as a reference to predict wind shear events because they have a strong correlation, obtaining a correlation value between 0.60 to 0.79 compared to the TT index.
Kajian Pengembangan Pengisian Data Hujan yang Hilang dengan Data CHIRPS di Wilayah Bali Arsanti Aphrodita, Nerisa Fedria; Yuliara, I Made; Yuda, I Wayan Andi
Kappa Journal Vol 7 No 2 (2023): Agustus
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v7i2.7709

Abstract

Research has been carried out related to the study of filling in missing rain data with CHIRPS data in the Bali Region. This study aims to determine the validation of daily and monthly CHIRPS rain data with observational data in the Bali region and to know the results of filling in observation rain data with corrected CHIRPS data. There are also differences in patterns between CHIRPS data and observational data that require data correction that was carried out using simple regression. This study shows that corrected CHIRPS shows RMSE and MBE valueshave lower error rates than CHIRPS without correction. As an example, the results of the calculation of data accuracy are shown by the RMSE and MBE values after being corrected which are better than CHIRPS before being corrected. For Sukasada rain post, the RMSE values before and after correction are 15.355 mm and 13.527 mm for daily data and 77.586 mm and 65.083 mm for monthly data, respectively. Meanwhile, the MBE values for the Sukasada rain post before and after correction were -0.875 mm and -0.017 mm for daily data and -27.142 mm and 0.005 mm for monthly data, respectively
Dinamika Sebaran Suhu Udara Menggunakan Citra Landsat 8 di Wilayah Denpasar Periode 2018-2021 Pertiwi, Hanik Wahyu; Yuliara, I Made; Irmawan, Decky
Kappa Journal Vol 7 No 2 (2023): Agustus
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v7i2.19128

Abstract

Research has been conducted on the Dynamics of Air Temperature Distribution Using Landsat 8 Imagery for the 2018-2021 Period, in the Denpasar area study area with a location point at the Sanglah Geophysical Station. The methods used in this study were Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST), while the analysis used was correlation and validation. The results of the NDVI value study explained that from 2018 to 2021 the NDVI density value was getting higher so that the resulting temperature was low. Meanwhile, the determination of ESG on the dynamics of average air temperature explains that the average air temperature value in each year does not always rise linearly, in 2018 the highest average air temperature distribution was at 29.56 °C, in 2019 it was 35.56 °C, in 2020 it was 25.62 ° C and 2021 it was 30.72 ° C. In testing and analysis, a correlation relationship was obtained between Landsat 8 imagery (band 10 and band 11) and BMKG, which showed that the temperature between Landsat 8 imagery and BMKG was correlated in the same direction. The relationship between the distribution of average air temperatures with the implementation of PPKM in the Denpasar area has nothing to do with it as previously thought. Due to the increase in temperature, landsat 8 and BMKG images are only affected by the atmosphere
Pemetaan Tingkat Bahaya Gempabumi Berbasis Percepatan Getaran Tanah Maksimum Dan Intensitas Gempabumi Di Provinsi Bali Kelo, Febriyanti Jia; Yuliara, I Made; Setiawan, Yohanes Agus; Sukarasa, I Ketut; Kasmawan, I Gde Antha; Suardana, Putu
Kappa Journal Vol 7 No 3 (2023): Desember
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v7i3.20925

Abstract

The Research has been carried out on the level of earthquake hazard in the Bali region based on maximum ground vibration acceleration (PGA) and earthquake intensity. The data that used in this research were obtained from the BMKG and USGS catalogs. The value of the earthquake hazard level is calculated using the appropriate PGA empirical equation through a correlation test of several empirical equations, namely the Katayama, Mc. Guire, Faccioli, Singh et al, Ambraseys, and Wang & Tao with BMKG observation data.. Based on the correlation test, the Katayama equation (1974) was obtained with the smallest error value of 0.52. The calculation results show that the maximum PGA value ranges from 154-1944 gal and the earthquake intensity ranges from VII to X on the MMI scale with the highest hazard level in the Karangasem, Buleleng, and parts of Jembrana districts.
Analisis Spasial Penentuan Tipe Iklim Menurut Klasifikasi Schmidt-Ferguson Menggunakan Metode Thiessen-Polygon Di Kabupaten Bojonegoro Berdasarkan Data Curah Hujan Tahun 2016–2022 Hidayat, Alyi Savitri Astriyani; Baskoro, Winardi Tjahyo; Unsuriyah, Zumrotul; Yuliara, I Made; Widagda, I Gusti Agung; Pramarta, Ida Bagus Alit; Kurnia, Wenas Ganda
Kappa Journal Vol 7 No 3 (2023): Desember
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v7i3.23128

Abstract

Research on Schmidt-Ferguson climate classification and Thiessen polygon mapping in Bojonegoro Regency, East Java has been carried out based on rainfall data during the 2016–2022 period. The aim of this research is to determine climate types according to the Schmidt-Ferguson classification and the spatial distribution of climate types using the Thiessen Polygon method in Bojonegoro Regency, East Java. This process begins with collecting rainfall data, coordinates and height of rain posts. From the analysis results obtained, Bojonegoro Regency has 4 types of climate based on the Schmidt-Ferguson classification, namely: Very Wet (A), Wet (B), Slightly Wet (C) and Dry (F). While based on Thiessen Polygon mapping, type A distribution has an area of 323.02 km2, climate type B classification covering an area of 962.22 km2, Classification of climate type C covering an area of 669.95 km2 and climate type F classification covering an area of 374.07 km2.   
Studi Pola Sebaran Asap Dan Kondisi Parameter Fisis Meteorologi Berbasis Citra Satelit Himawari-8 (Kasus: Kebakaran Hutan di Provinsi Jambi) Sinaga, Gerson; Yuliara, I Made; Rupiasih, Ni Nyoman; Sukarasa, I Ketut; Adnyna, I. G. A. P; Widagda, I. G. A
Kappa Journal Vol 8 No 1 (2024): April
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i1.23981

Abstract

This research has conducted a study of smoke distribution patterns and conditions of meteorological physical parameters based on Himawari-8 satellite imagery (Case: Forest Fires in Jambi Province). Data analysis was carried out in this study using Himawari-8 satellite image data with processed RGB False Color method in SATAID software. Meteorological factors such as hot spots, rainfall, air temperature, wind direction and speed are parameters that can affect the process of forest fires and smoke distribution. The data collected in this research is secondary data. The meteorological data and smoke images from BMKG Jakarta center, Jakarta, then the data is processed and analyzed so that it can interpret the meteorological conditions and smoke patterns in Jambi Province. The smoke images that have been collected are then processed using a laptop with SATAID Software on channels 3, 4, and 6 so that the color of the smoke and the distribution of brownish forest fire smoke can be seen in the form of images. Based on the results of the research, the state of meteorological physical parameters in Jambi Province shows a state of drought, hot spots totaling 30 locations from June 24 to 28, 2022, and low rainfall is one of the factors that trigger the process of forest fires, air temperature with an average of <25 ℃ is classified as a moderate temperature during forest fires. satellite image data and meteorological condition data in 2022, wind direction and speed below 29 kt (knots) are categorized as moderate wind gusts. 
Development of Total Suspended Solids (TSS) Algorithm Based on Visible Spectrum Reflectance of Sentinel-2 Imagery (Case: in Suwung Estuary, Bali) Yuliara, I Made; Ratini, Ni Nyoman; Baskoro, Winardi Tjahyo; Wibisana, Hendrata
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11039

Abstract

This study aims to develop and build a new algorithm model that is suitable for predicting the concentration and spatial distribution of total suspended solids (TSS) in the Suwung estuary in Bali based on the visible spectrum reflectance of Sentinel-2 imagery. A total of 20 water samples were taken at selected coordinates and the time coincided with the Sentinel-2 satellite recording the research location. The TSS concentration of the samples was measured in the laboratory (in-situ) and the bottom of atmosphere reflectance correction (  used the dark object substaction (DOS) method. The development used regression and correlation of in-situ data with imagery. Three algorithm models, namely Budhiman (2014), Guzman & Santaella (2009), and Parwati (2014) were used as an approach to developing a new TSS algorithm (AlgoNew), resulting in the Parwati model as the best model (MAPE = 3.889%, RMSE = 0.386 and R2 = 0.816). The result of AlgoNew model development is , where the MAPE is 3.315%, RMSE = 0.332 and R2 = 0.845. The analysis results show that AlgoNew has smaller errors, is more valid, has stronger correlations, and its implications are more representative and feasible to apply compared to Parwati's algorithm (2014).
Co-Authors Adnyna, I. G. A. P Arsanti Aphrodita, Nerisa Fedria Baskoro, Winardi Tjahyo BUDI SETIADI DARYONO Budy Wiryawan Daniel Happy Putra Dedy Pratama, I Putu Desy Yunita samosir Girsang, Dhea Vonisa Gusti Ngurah Sutapa Hendrata Wibisana Hidayat, Alyi Savitri Astriyani I Gde Antha Kasmawan I Putu Arix Putra Wiguna Ida Bagus Made Suryatika Irhas, Rozi Irmawan, Decky Kelo, Febriyanti Jia KURNIA, WENAS GANDA Lorensia Yatimas Murni Mberato, Anastasya Jessning Gamalita Mberato NEVIATY PUTRI ZAMANI Ni Komang Tri Suandayani Ni Nyoman Rupiasih Ni Nyoman, Ratini Nurfaizah Nurfaizah Pertiwi, Hanik Wahyu Pramarta, Ida Bagus Alit Putra Wiguna, I Putu Arix Putu Gede Agus Krisna Yogantara Rakhmat Prasetia Setiawan, Yohanes Agus Sinaga, Gerson Suandayani, Ni Komang Tri Sukarasa, I Ketut Sumaja, Kadek Trisnawati, Ni Luh Putu Unsuriyah, Zumrotul Widagda, I Gusti Agung Widagda, I. G. A Windarjoto Windarjoto Windarjoto Windarjoto Windarjoto, Windarjoto Windaryoto Windaryoto Windaryoto, Windaryoto Wiwik Kurniawati Yasa, I Made Tinggal Yuda, I Wayan Andi