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Analisis Tingkat Perubahan Vegetasi Hutan Mangrove Terhadap Tingkat Salinitas Menggunakan Citra Landsat Ramadhan, Rafly Rizqyta; Baskoro, Winardi Tjahyo; Sumaja, Kadek; Suarbawa, Komang Ngurah; Indrayana, Putu Tedy; Ratini, Ni Nyoman
Kappa Journal Vol 8 No 2 (2024): Agustus
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i2.23729

Abstract

Research on the analysis of the level of changes of mangrove forest vegetation on the level of seawater salinity has been conducted with remote sensing methods by using Landsat 8 imagery in Tahura Ngurah Rai. The data used in this research is secondary data from the official website of the USGS (United States Geological Survey). This study aims to determine the levels of changes in mangrove forest vegetation cover in Tahura Ngurah Rai and to determine how much influence the level of mangrove forest vegetation cover has on the level of salinity in Tahura Ngurah Rai. The vegetation values were obtained by processing the NDVI index data and the salinity values were obtained by processing the SI, NDSI and VSSI index. from the results of the analysis that has been conducted, vegetation cover greatly influences the NDSI index with an increase in the total NDVI value of 25,48% and a decrease in the total NDSI value of -25,48%, with a correlation coefficient and determination of NDVI-NDSI 0.998 and 0.996 respectively.
Identifikasi Citra Radiografi Sinar-X Pemeriksaan Thorax Untuk Penderita Covid-19 Di Instalasi Radiologi RSUP Prof. I. G. N. G Ngoerah Sutapa, Gusti Ngurah; Hanzani, Asril; Sudarsana, Wayan Balik; Ratini, Ni Nyoman; Trisnawati, Ni Luh Putu; Baskoro, Winardi Tjahyo
Kappa Journal Vol 8 No 2 (2024): Agustus
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v8i2.25290

Abstract

Coronavirus Desease 2019 (Covid-19) merupakan penyakit menular yang disebabkan oleh virus Sars-Cov-2. Gejala yang ditimbulkan antara lain demam, batuk kering, dan sesak napas. Berbagai upaya penanganan dan pencegahan dilakukan oleh tenaga medis di Indonesia. Salah satu rumah sakit yang ikut andil menangani hal tersebut adalah RSUP Prof. Dr. I. G. N. G Ngoerah yang ada di Provinsi Bali menggunakan pemeriksaan thorax dengan pesawat sinar-X (rontgen). Penelitian ini dilakukan dengan menggunakan data sekunder yaitu 30 data pasien non-Covid-19 dan 30 data pasien Covid-19 di RSUP Prof. Dr. I. G. N. G Ngoerah pada tahun 2020 sampai dengan tahun 2022 dengan membandingkan hasil citra pasien secara kualitatif dari pembacaan dokter radiolog dan secara kuantitatif dilihat dari nilaia Efekti Dose (ED) dan Indeks Exsposure (IE). Dari hasil citra, pasien covid-19 menunjukkan adanya bercak-bercak putih pada bagian paru-paru dan dari hasil pembacaan dokter rata-rata pasien covid-19 mengalami pneumonia atau peradangan pada paru-paru sedangkan pada pasien non-covid-19 tidak mengalami pneumonia. Secara kuantitatif rata-rata nilai ED pada pasien non-covid-19 lebih besar dibandingkan pada pasien covid-19. Secara berturut-turut yaitu 0,1267±0,00653 mSv dengan nilai minimum 0,0694 serta nilai maximum 0,214 dan 0.0914±0,0311 mSv minimum 0,0096 serta maximum 0,706.  namun nilai IE pada pasien covid-19 lebih besar dibandingkan dengan pasien non-covid-19, yaitu 267,3±9,059 mSv dengan nilai minimum 202 mSv dan maximum 396,1 mSv. Sedangkan pasien non-Covid-19 besar nilai minimum 129 mSv dan maximum 172,9 mSv dengan rata-rata 146,467±2,45 mSv, dengan persentase perbandingan yaitu 35%:65%. Untuk menunjang terhadap perbedaan yang terjadi maka dilakukan uji statistik menggunakan T-test statistik nonparametric. Syarat signifikansi Asimp.Sig<0,05 menunjukkan perbedaan yang signifikan antara IE pasien non-Covid-19 dengan IE pasien Covid-19. Sehingga hasil statistik juga mendukung terhadap hasil pembacaan IE pada citra radiografi bahwa terjadi perbedaan yang signifikan antara nilai IE pada citra radiografi pasien non-Covid-19 dengan pasien Covid-19.
Analisis Perubahan Garis Pantai Menggunakan Citra Satelit Landsat 8 dengan Metode Linear Regression Rate di Wilayah Pesisir Kecamatan Kuta Purba, Selpia; Baskoro, Winardi Tjahyo; Gunawan, Tomy; Artawan, I Nengah; Putra Adnyana, I Gusti Agung; Sandi, I Nengah
Kappa Journal Vol 9 No 2 (2025): Agustus
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/kpj.v9i2.29955

Abstract

Coastal areas are dynamic environments and are vulnerable to natural processes and human activities, making regular monitoring important for sustainable management. This study analyzes coastal changes along the Kuta coastal area, which includes Pantai Jerman, Kuta, Legian, and Seminyak, using Landsat 8 satellite imagery through the application of the NDWI analysis and the Linear Regression Rate (LRR) method over the period 2014–2022. The NDWI is derived using Band 3 (green) and Band 5 (near-infrared) to accurately classify the boundary between water and land. The LRR method is employed to calculate the trend of coastal line shifts from temporal data, yielding a detailed estimation of the coastal displacement rate. The study results indicate that the Kuta coastal area undergoes changes dominated by mild accretion, with an average coastal shift of 1.50 m/year, while mild erosion occurs at an average of 1.30 m/year. Overall, the coastal area experienced an accretion of 9.52 ha and an erosion of 4.55 ha.
Determination of Diagnostic Reference Level (DRL) in Non-Contrast and Contrast Thorax CT Scan Examinations at Bali Mandara Regional Hospital Pramitha, Ni Luh Emy; Sutapa, Gusti Ngurah; Trisnawati, Ni Luh Putu; Ratini, Ni Nyoman; Suyanto, Hery; Baskoro, Winardi Tjahyo
Jurnal Penelitian Pendidikan IPA Vol 11 No 7 (2025): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i7.10344

Abstract

A study has been conducted to determine the Diagnostic Reference Level (DRL) in non-contrast and contrast chest CT scan examinations at Bali Mandara Hospital. The study was conducted at the Radiology Installation of Bali Mandara Hospital using dose reports from non-contrast and contrast chest CT Scan examinations with data obtained including age, gender, kV, mAs, slice thick, time rotation, Pitch, as patient information and protocols used in the examination and dose information in the form of CTDIvol and DLP. This study aims to determine the local DRL value against the national DRL value. The method used to determine the DRL value in this study is by collecting data in the form of recording and documenting the dose report of CT Scan examination patients, with the data for each examination being as many as 30. From the recorded data, the CTDIvol and DLP values are used to find the DRL value by sorting it from the smallest to the largest value and then calculating the 3rd quartile as a determinant of the local DRL. The interpolation method is also used to consider the position of the 3rd quartile so that it is at a decimal value. From the research results, the CTDIvol value for non-contrast thorax examination was 6.43 mGy, and the DLP value was 293.08 mGy.cm. Meanwhile, in contrast to the thorax examination, the CTDIvol value was 6.14 mGy, and the DLP value was 852.57 mGy.cm. Furthermore, a statistical analysis was carried out in the form of a one-way t-test using SPSS software, which was used to compare the DRL values of both CTDIvol and DLP non-contrast and contrast thorax examinations with the standard values set by BAPETEN 2021 as a reference used in Indonesia. Based on the results of the analysis with a one-way t-test, it can be seen that the DRL values for non-contrast thorax examinations (DRL CTDIvol and DLP) and contrast examinations (DRL CTDIvol) do not exceed the standards set by BAPETEN. However, in the contrast thorax CT Scan examination, the DRL DLP value exceeded the standard value set by BAPETEN, so dose optimization was needed by re-evaluating the protocol implemented at Bali Mandara Hospital.
DETERMINATION OF HALF AND TENTH VALUE LAYER PRIMARY AND SECONDARY WALLS OF X-RAY ROOM IN BALI JIMBARAN GENERAL HOSPITAL Widianingsih, Ni Kadek Indah; Sutapa, Gusti Ngurah; Kasmawan, I Gde Antha; Sandi, I Nengah; Baskoro, Winardi Tjahyo; Wendri, Nyoman; Prayuda, I Made Ardi
Indonesian Physical Review Vol. 6 No. 3 (2023)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v6i3.250

Abstract

The research has been carried out on the HVL and TVL values ​​of the primary and secondary walls of the radiology installation radiology room at RSU Bali Jimbaran. The aims of this study were (1) to determine HVL and TVL values ​​on the primary and secondary walls in the x-ray room, (2) to determine the differences between HVL and TVL values ​​if the tube voltages are varied. In determining the HVL and TVL values, ​​the linear attenuation coefficient of the walls must be known. The linear attenuation coefficient was determined by measuring the wall thickness by using a caliper, and measuring the radiation dose rate before and after passing through the primary and secondary walls. The results of the analysis of the HVL and TVL values ​​on the primary wall were 1.668 cm and 5.540 cm, meanwhile on the secondary wall ​​were 1.915 cm and 6.362 cm. When the voltage was varied 40 kV, 50 kV, 60 kV and 70 kV, there was no difference in the HVL or TVL values. Based on the results of the analysis, the HVL and TVL values ​​on the primary and secondary walls have a significant average difference.
IMPACT OF TROPICAL CYCLONE SEROJA ON RAINFALL AND WIND SPEED IN EAST NUSA TENGGARA PROVINCE Kaha, Astried Valentine; Baskoro, Winardi Tjahyo; Sumaja, Kadek; Sukarasa, I Ketut; Paramarta, Ida Bagus Alit; Sandi, I Nengah
Indonesian Physical Review Vol. 7 No. 1 (2024)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v7i1.264

Abstract

Tropical cyclone phenomenon can give impacts such as heavy rain, strong winds, and high waves around its growth area. One of the tropical cyclones that has occurred is Seroja Tropical Cyclone which formed in the Sawu Sea on April 3, 2021. Therefore, this study aims to determine the effect of Seroja Tropical Cyclone on rainfall and surface wind speed in East Nusa Tenggara Province and the percentage comparison of rainfall and wind speed during the Seroja tropical cyclone event with the normal value of rainfall and surface wind speed over a 10-year period. The data used are daily rainfall and surface wind speed data during the Seroja tropical cyclone event, namely April 3 to 12, 2021 and daily average rainfall and wind speed data in April for 10 years in several affected districts in East Nusa Tenggara Province. Data processing is done by calculating the percentage comparison of rainfall and wind speed during the Seroja Tropical Cyclone event with normal rainfall and wind speed in several regions in East Nusa Tenggara. Based on the analysis, heavy to extreme rainfall and strong winds were found in several districts at a radius of about 400 km from the center of the cyclone. Although the category of this tropical cyclone is low, it is able to give impacts in the form of heavy to extreme rainfall and strong winds in the surrounding area. So it can be concluded that the tropical cyclone category does not directly affect rainfall and wind speed in an area, but the distance between the area and the center of the tropical cyclone is more influential in increasing rainfall and wind speed in an area. This is also proven by Sumaja's research in the case of tropical cyclones LUA and Narelle.
Identifikasi Pencemaran Air Lindi pada Kawasan Asrama di Kampus Universitas Udayana dengan Menggunakan Metode Geolistrik Konfigurasi Wenner Pratama, Maulana Rizki; Putra, I Ketut; Nurmalasari, Ni Putu Yuni; Sumadiyasa, Made; Sandi, I Nengah; Baskoro, Winardi Tjahyo
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.v7i2.20842

Abstract

Dormitory land in the Udayana University area is often used as a place to dispose of garbage. Basically leachate contains metal content such as zinc (Zn) and mercury (Hg) which seep into the soil. Identification to determine the presence of leachate at a certain depth, can use the Wenner Configuration Geoelectrical Method. From the data obtained then processed using Res2dinv it was found that the leachate content in the Udayana University Dormitory Area is found at a distance of 33m, 43m, 63m, 83m, from the pile of garbage and a depth of 1.25 - 3.75m below the surface of the pile of garbage for coordinates 115.165240 BT, 8.798640 LS to 115.164955 BT, 8.799100 LS and a distance of 62m, 72m, 82m, from the garbage pile and a depth of 1.25 – 6.38m below the surface of the garbage pile at coordinates 115.165091 BT, 8.798557 LS to 115.164730 BT, 8.799021 LS.
Identifikasi Air Tanah Dengan Metode Geolistrik Konfigurasi Wenner Di Daerah Perumahan Pesraman Unud Bukit Jimbaran Bali Ratu, Trivena Sesilia; Wendri, Nyoman; Nurmalasari, Ni Putu Yuni; Putra, I Ketut; Suharta, I Wayan Gede; Baskoro, Winardi Tjahyo
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.v7i3.20928

Abstract

Identification of groundwater using the geoelectric method in the housing area of the Udayana University boarding house, Bukit Jimbaran, Bali. Data acquisition was carried out using the Wenner configuration to determine the location of the aquifer depth with rock resistivity values. This measurement parameter is the resistivity value of the rock which is then processed using the Res2dinv software for data mapping. After that, aquifer interpretation and geoelectric data interpretation is carried out. The results showed that the aquifer in the residential area of the Bukit Jimbaran Bali Udayana University boarding house is located at a relatively shallow depth of 1.25-12.4 meters below the ground surface. On tracks 1 and 2 have 3 groups of resistivity values. The resistivity value of 2.16–37.5 Ωm with a depth of 1.25-12.4 meters is suspected as a type of tufa lithology. The resistivity value of 72.8–226 Ωm with a depth of 1.25-12.4 meters is suspected to be limestone associated with tuff. The resistivity value of 423–1363 Ωm with a depth of 1.25-12.4 meters is suspected to be limestone.
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.   
Analisis Arah dan Kecepatan serta Besar Persentase Fase Angin Menggunakan WRPLOT Tahun 2015-2020 di Stasiun Klimatologi Kelas II Paniki Atas Minahasa Utara Keintjem, Regina Gabriel; Baskoro, Winardi Tjahyo; Buana, Muhammad Candra; Nurmalasari, Nurmalasari; Trisnawati, Ni Luh Putu; Ratini, Ni Nyoman
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.v7i3.23907

Abstract

Weather and climate deviations have resulted in extreme weather in most parts of Indonesia which has triggered a number of natural disasters, such as tornadoes and floods that have occurred in various areas. It is necessary to know this in order to prevent something undesirable from happening. This writing aims to understand wind direction and speed and determine the percent of wind phases using WRPLOT V7.0 from 2015 to 2020. WRPLOT (Wind Rose Plots for Meteorological Data) is a windrose program for meteorological data. This software provides windrose diagram displays, frequency analysis and diagrams for several meteorological data formats. The data taken is wind data with the highest direction and highest speed recorded by the Class II Paniki Atas North Minahasa Climatology Station. Wind direction and speed data from 2015 to 2020 using WRPLOT obtained wind rose and wind speed graphs, namely 7 (from the dominant direction West), 2 (from the dominant direction Southeast), 2 (from the dominant direction South), and 1 (from the dominant direction Northeast), and the percentage of winds blowing from 2015 to 2020 at speeds ≥22 knots, namely more than 60%. Where the percentage of speeds ≥22 knots is highest in September and October with a percentage of 86%, while the percentage of speeds ≥22 knots is lowest in June with a presentation of 68.3%.