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Baskoro, Winardi Tjahyo
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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 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.
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%.
Metode Double-Difference Untuk Merelokasi Hiposenter Gempabumi Susulan Seririt Singaraja Baskoro, Winardi Tjahyo; Kasmawan, I Gde Antha; Putra, I Ketut; Ratini, Ni Nyoman; Sismanto
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.v8i1.24434

Abstract

A method that does not require a main earthquake (master event) that can be used simultaneously to relocate a very large number of earthquakes with wide hypocenter separation is called the double-difference method. A method used to relocate the aftershocks in Seririt Singaraja on November 14 2019 with coordinate positions 113.478 – 115.181 East Longitude and 8.357 – 7.894 South Latitude. The earthquake data used in this research was accumulated from 85 BMKG seismic stations. Data analysis uses cross-correlation time differences which can increase the accuracy of travel time between the receiving station and the earthquake, thereby reducing errors in calculations. The double difference method used to relocate the earthquake in the Seririt Singaraja area showed that there was a shift in the location of the earthquake hypocenter before and after it was relocated. Horizontally and vertically, the distribution of earthquake hypocenters before and after being relocated occurs when there is a collection of location shifts. The results of this research were able to relocate 152 aftershocks properly. The main earthquake after being relocated was at a depth of 17 km, while the distribution of aftershocks was at a depth of around 6-25 km, so that it can more accurately describe the position of the earthquake source and is able to show clearer and easier to interpret structural patterns.
IDENTIFIKASI STRUKTUR BAWAH PERMUKAAN BERDASARKAN DATA ANOMALI GRAVITASI DI PULAU LOMBOK Threza, Imelda; Baskoro, Winardi Tjahyo; Alit Pramarta, Ida Bagus; Sukarasa, I Ketut; Suardana, Putu; Supardi, I Wayan
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.v8i1.25139

Abstract

Abstract: Research on the identification of subsurface structures based on gravity anomaly data on Lombok Island. This research aims to create a map and determine the value of the complete Bouguer anomaly, regional anomaly, residual anomaly, subsurface density value and create a 2-D model of the subsurface structure. The data used is secondary data, namely satellite gravity anomaly data obtained from the topex website. Data processing in this research uses the gravity method. In this method, gravity correction will be carried out, making a complete bouguer anomaly map, conducting spectrum analysis, separating regional and residual anomalies using butterworth filters and forward modeling to obtain a 2-D model of the subsurface structure. The results of the complete bouger anomaly map are 10.2 to 297.1 mGal, regional anomalies 18.0 to 271.1 mGal and residual anomalies between (-52.9 to 32.4) mGal. The results of forward modeling show that the subsurface geological structure on Lombok Island has a density range between 1 to 2.9 g/cm3, so that from the range of rock density values it can be estimated that the subsurface structure of Lombok Island is divided into East Lombok consisting of Soil rocks (1 to 1.99 g/cm3), Lime Stone (2 to 2, 27 g/cm3), Andesite (2.4 to 2.63 g/cm3) and Basalt (2.71 to 2.99 g/cm3), for West Lombok consists of Lime Stone (2.08 to 2.6 g/cm3), Andesite (2, 68 to 2.77 g/cm3) and Basalt (2.85 to 2.99 g/cm3) and for Central Lombok consists of Andesite (2.41 to 2.72 g/cm3), Basalt (2.84 to 2.99 g/cm3).  
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.
Determining Seismicity Using the Likelihood Method in Sumbawa Island Region Period 1972-2022 Celline; Baskoro, Winardi Tjahyo; Saputra Rahman, Muhammad Soekarno
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.v8i1.25409

Abstract

Research has been carried out regarding the determination of seismicity in the Sumbawa Island region for the period 1972-2022 with observation area boundaries of 116.5° – 119.3° East Longitude and 10° – 8° South Latitude. The research was carried out at the Center for Meteorology, Climatology and Geophysics Region III Denpasar using the likelihood method which was adjusted to the seismicity level M ≥ 3 and depth ≤ 30 km. Determining the b-value was calculated using the likelihood method and obtained b-values for the 4 regions ranging from 0.6 – 0.7 and a-values ranging from 4.7 – 5.4. The return period for earthquakes ranges from 1.03 – 308.1 years. The results show that region 3 has the largest b-value, namely 0.796. The region that has the largest a-value is region 1, namely 5.405. The shortest earthquake return period is region 1 with 1.049 years and the longest is region 3 with 314.6 years.