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Yuliara, I Made
Physics Departement, Faculty Of Mathematics And Science, Udayana University, Denpasar, Bali, Indonesia
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STUDI PERSAMAAN EMPIRIS PERCEPATAN TANAH BERBASIS DATA GEMPA BUMI DI WILAYAH BALI PERIODE 2008-2016 Putra Wiguna, I Putu Arix; Yuliara, I Made
Kappa Journal Vol 3, No 2 (2019): KAPPA JOURNAL
Publisher : Universitas Hamzanwadi

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Abstract

The earthquake was the most common natural disaster in Indonesia, one ofwhich was the Province of Bali. The southern part of Bali is a meeting area of two earth plates (subduction zones) between the Eurasian and Indo-Australian plates and in the northern region there is a back arc thrust fracture which results in earthquake frequencies in the Bali area. One of the parameters that is very instrumental in determining the level of damage to land and buildings that occur on the surface of the earth due to earthquake shocks is the acceleration  of the soil. A research has been conducted which aims to find out the empirical equation of land acceleration for Bali in the 2008-2016 period, namely by determining the empirical equation of land acceleration (PGA) conducted  using magnitude parameters, hypocenter distance and PGA (observation) values in 2008-2016 with coordinates 70-120 LS and 1130-1180 BT. Through the regression analysis approach, to obtain the empirical equation of land acceleration in the Bali region  is  ???10(???)  =  (?1,89)  ???10(?) +  (0,71) ?? + 1,18. Then several approaches and correlation analysis are performed to see the compatibility of the new empirical equation with the existing one.
Studi Persamaan Empiris Percepatan Tanah Berbasis Data Gempa Bumi Di Wilayah Bali Periode 2008-2016 I Putu Arix Putra Wiguna; I Made Yuliara
Kappa Journal Vol 3 No 2 (2019): Desember
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v3i2.1613

Abstract

The earthquake was the most common natural disaster in Indonesia, one ofwhich was the Province of Bali. The southern part of Bali is a meeting area of two earth plates (subduction zones) between the Eurasian and Indo-Australian plates and in the northern region there is a back arc thrust fracture which results in earthquake frequencies in the Bali area. One of the parameters that is very instrumental in determining the level of damage to land and buildings that occur on the surface of the earth due to earthquake shocks is the acceleration  of the soil. A research has been conducted which aims to find out the empirical equation of land acceleration for Bali in the 2008-2016 period, namely by determining the empirical equation of land acceleration (PGA) conducted  using magnitude parameters, hypocenter distance and PGA (observation) values in 2008-2016 with coordinates 70-120 LS and 1130-1180 BT. Through the regression analysis approach, to obtain the empirical equation of land acceleration in the Bali region  is  ð‘™ð‘œð‘”10(𝑃𝐺𝐴)  =  (−1,89)  𝑙𝑜𝑔10(𝑅) +  (0,71) 𝑚𝑏 + 1,18. Then several approaches and correlation analysis are performed to see the compatibility of the new empirical equation with the existing one.
Analisis Peak Ground Accerelation (PGA) di Kabupaten Karangasem Menggunakan Pendekatan Empiris Masitah, Siti; Sukarasa, I Ketut; Dedy Pratama, I Putu; Yuliara, I Made; Suryatika, Ida Bagus Made; Kasmawan, I Gde Antha
Kappa Journal Vol 9 No 1 (2025): April
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v9i1.28647

Abstract

Kabupaten Karangasem merupakan bagian dari busur kepulauan Sunda Kecil yang terbentuk akibat proses subduksi lempeng Indo-Australia kebawah lempeng Eurasia sehingga menyebabkan daerah tersebut rawan bencana gempabumi. Penelitian ini bertujuan untuk menentukan nilai peak ground acceleration (PGA) di Kabupaten Karangasem menggunakan rumus empiris terpilih. Data yang digunakan adalah data skunder yang diperoleh dari alat accelerograph tahun 2019-2023 dan data dari katalog BMKG tahun 1972-2022. Dalam menentukan nilai PGA digunakan metode empiris Donovan (1973), Esteva (1970), Mc.Guirre (1963), Fukushima Tanaka (1990), Setiawan (2012). Pada hasil penelitian menunjukkan bahwa rumus empiris Donovan cocok untuk diterapkan di Kabupaten Karangasem. Kabupaten Karangasem bagian timur memiliki tingkat bahaya bencana gempabumi paling besar dengan skala Intensitas VI MMI mencakup Kecamatan Karangasem dan Kecamatan Abang dengan nilai PGA tertinggi yaitu 96 gals.
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. 
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