Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Kappa Journal

Optimasi Slice Thickness dengan Nilai Signal to Noise Ratio dan Contrast to Noise Ratio untuk Meningkatkan Kualitas Citra MRI Genu Anastasia Victor, Agnes Maria Salvi; Sutapa, Gusti Ngurah; Gunawan, A. A. Ngurah; Sandi, I Nengah; Rupiasih, Ni Nyoman; Simpen, I Nengah
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.v9i1.29591

Abstract

Research has been conducted on the effect of slice thickness variation on the quality of Genu MRI images. This study was conducted at the Radiology Installation of Bali Mandara Hospital using primary data from Genu MRI examination results.The independent variable in this study is the variation of slice thickness values of 3, 5, and 7 mm. There were 30 patientsmeasured and the tissues analyzed were ligament, bone, fat, and noise as background using the ROI method and the segmentation results wereresults were taken at the mean value and standard deviation in the background. The difference in SNR and CNR values due to variations in slice thickness values can be tested using the Factorial Anova test. The results of this study obtained that there is an effect of slice thickness variation on SNR and CNR values that will have an impact on the quality of MRI Genu images. The greater the slice thickness value analyzed, the greater the SNR and CNR values produced and the better the image quality. In ligament tissue, the average SNR values of 3, 5 and 7 mm are 23.830; 36.594; and 50.524, respectively. In bone tissue, 191.352; 277.399, and 344.170 were obtained. In fat tissue, SNRs of 9,460, 292,022, and 367,463 were obtained. Changing the slice thickness will directly affect the SNR. It can be seen that the higher the slice thickness value given, the higher the SNR and CNR values for each tissue evaluated and the longer the scanning time required. In the slice thickness variation.
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 A. A. N. Surya Mahendra Putra A.A. Ngurah Gunawan Adnyana, I Gusti Agung Putra Adnyna, I. G. A. P Aldo Dzar Al-Ghifari Anastasia Victor, Agnes Maria Salvi Angelia Bella Kusumaningtyas Decky Danuarta Fernanda Dewa Ayu Sukma Pranastia Dewa Ayu Sukma Pranastia Dewi Handayani Dionicius Hadarian Fahim Mamduh Gunawan, A. A. Ngurah Gusti Ngurah Sutapa Helena Idah Hery Suyanto I B Sujana Manuaba I G. A. Widagda I Gde Antha Kasmawan I Gusti Agung Ayu Ratnawati I Ketut Putra I Made Hendra Hadinata I Made Oka Guna Antara I Nengah Sandi I Nengah Sandi I Nengah Simpen I Putu Amara Setia Putra I Wayan Supardi I Wayan Supardi I. W. Sumarjaya I.B.S. Manuaba I.W. Sumarjaya Ida Ayu Putu Inten Gayatri Ida Bagus Alit Paramarta Ida Bagus Made Suryatika Ida Wisnu Sari James Sibarani K N Suarbawa Komang Dharmawan Laura Laudensia Senly Jalut M. Joni Made Sumadiyasa Mahendra Sastra Adhi Wiguna Gede Maria Yulni Imas Maulida Nirwana Islami Ni Kadek Gita Hari Yanti Ni Kadek Gita Hari Yanti Ni Luh Yuni Pramita Utami Ni Made Rasmini Ni Nyoman Putri Windari Ni Wayan Eri Sandriani Ni Wayan Eri Sandriani Nur Fadhillah Muhamad Nyoman Wendri Nyoman Wendri Nyoman Wndri P. B. Vidyasagar P. Suardana Patriot Akbar Pramuditya Adha Ra&#039;afarudin Pt Widyatmika Putu Erika Winasri Putu Ika Paramitha Putri R.A Restia Pranagari Ratih Wulandari Ria Yuliani Rosvita Hilbrida Sulastri S. S. Jagtap Septiana Ribka Purnomo Sinaga, Gerson Sukarasa, I Ketut Taufikur Rohman Trisanjaya Purba Ghaniel Umi Hariyani Widagda, I. G. A Wolfharditia Oktaviana Nita Yan Ramona Yohanes Sardjono Yosefa Yakunda Tandu Yudisthira Arimbawa Saputra I Gusti Ngurah Agung Yuliara, I Made Zoucella Andre Afani