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Putra Adnyana, I Gusti Agung
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Radiation Dose Determination and Body Mass Index (BMI) Evaluation in Abdomen CT Scan Examination Patients Using the Size-Specific Dose Estimate (SSDE) Method Prawistya Putra, I Made Gede Mas; Sutapa, Gusti Ngurah; Kasmawan, I Gde Antha; Made Suryatika, Ida Bagus; Putra Adnyana, I Gusti Agung; 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.v9i1.29592

Abstract

A study has been conducted on determining radiation doses and evaluating body mass index (BMI) in patients undergoing CT-Scan Abdomen examinations using the Size Specific Dose Estimate Method at the Bali Mandara Radiology Installation. One of the factors that influences the radiation dose received by patients is the Body Mass Index (BMI). The Size Specific Dose Estimate (SSDE) method is used to assess radiation doses based on patient size, which is often associated with BMI. This study aims to determine the estimated radiation dose of each patient and evaluate the relationship between BMI and the dose received. This study used a CT-Scan brand SIEMENS SOMATOM PERSPECTIVE (serial number 78068). The population in this study were patients undergoing CT-Scan Abdomen examinations. The sample consisted of several BMI categories, namely thin, normal, overweight, and obese. The analysis was carried out using linear regression to measure the relationship between BMI and SSDE, as well as a one-way t-test to see the difference in the average SSDE value in each BMI category. The results showed that each increase in one BMI category caused an increase in SSDE values ​​of 1,566 mGy. The R² value of 98.56% indicated that the BMI category explained almost all of the variability in SSDE values. However, a one-way t-test statistic showed that there was no significant difference in the average SSDE values ​​in the thin, normal, overweight, and obese categories (F count <F table, so H₀ was accepted). This study showed that patients with higher BMI tended to receive higher radiation doses, but the differences between categories were not statistically significant.
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.