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Journal : Jurnal Penelitian Pendidikan IPA (JPPIPA)

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.
Measurement of CT Number Uniformity Value at Various X-ray Tube Current Settings in CT Scanning Ratini, Ni Nyoman; Sutapa, Gusti Ngurah; Anggarani, Ni Kadek Nova; Kasmawan, I Gde Antha; Mberato, Anastasia Jessing Gamalita
Jurnal Penelitian Pendidikan IPA Vol 11 No 1 (2025): January
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i1.8527

Abstract

Studies on the analysis of variations in CT number uniformity values for CT-Scan images has been conducted. This study aims to evaluate the image quality value by uses various tube currents (mAs) in Siemens merk water phantom irradiation to assess the value of image quality. A Siemens Somatom Scope CT-Scan with current variations of 180 mAs, 200 mAs, 220 mAs, 240 mAs, and 260 mAs was used. The image results were then anlyzed for quality through the CT number uniformity value test. Using a marker size of 12.56 cm2, the ROI method was applied at five different picture points: the center, 3, 6, 9, and 12 o'clock. For each current variation used in this study, 3 irradiation was carried out and 5 image slices were taken from each irradiation.This resulted of the analysis the CT number uniformity value was shown to be significantly reduced by the tube current strength (R2=0.9896, p-value<0.05), according to the research. The test showed that the uniformity CT number value decreased from 0.217 HU to 0.031 HU as the tube current strength was increased, bringing it closer to the reference value (0 HU). The consistency CT number values acquired in this study remain within the 2 HU tolerance limits established by BAPETEN.
Development of Total Suspended Solids (TSS) Algorithm Based on Visible Spectrum Reflectance of Sentinel-2 Imagery (Case: in Suwung Estuary, Bali) Yuliara, I Made; Ratini, Ni Nyoman; Baskoro, Winardi Tjahyo; Wibisana, Hendrata
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11039

Abstract

This study aims to develop and build a new algorithm model that is suitable for predicting the concentration and spatial distribution of total suspended solids (TSS) in the Suwung estuary in Bali based on the visible spectrum reflectance of Sentinel-2 imagery. A total of 20 water samples were taken at selected coordinates and the time coincided with the Sentinel-2 satellite recording the research location. The TSS concentration of the samples was measured in the laboratory (in-situ) and the bottom of atmosphere reflectance correction (  used the dark object substaction (DOS) method. The development used regression and correlation of in-situ data with imagery. Three algorithm models, namely Budhiman (2014), Guzman & Santaella (2009), and Parwati (2014) were used as an approach to developing a new TSS algorithm (AlgoNew), resulting in the Parwati model as the best model (MAPE = 3.889%, RMSE = 0.386 and R2 = 0.816). The result of AlgoNew model development is , where the MAPE is 3.315%, RMSE = 0.332 and R2 = 0.845. The analysis results show that AlgoNew has smaller errors, is more valid, has stronger correlations, and its implications are more representative and feasible to apply compared to Parwati's algorithm (2014).
Co-Authors A. A. Ngurah Gunawan Alit Paramarta, Ida Bagus Anandika Putra, I Made Raditya Artawan, I Nengah Ayu Ratnawati, I Gusti Agung Balik Sudarsana, I Wayan Baskoro, Winardi Tjahyo Br Barus, Ema Vinesia Buana, Muhammad Candra Feriandanu Hakim Fitriyani Mus Mulyadi Girsang, Dhea Vonisa Grace Christine Djara Gusti Ngurah Sutapa Hanzani, Asril Hendrata Wibisana Hery Suyanto I Gde Antha Kasmawan I Gede Erix Krisna Adi Pramartha I Gusti Agung Ayu Ratnawati I Gusti Agung Ayu Ratnawati I Ketut Putra I Ketut putra, I Ketut I M. S. Wibawa I Made Yuliara I Made Yuliara I Nengah Sandi I Putu Eka Juliantara I Wayan Balik Sudarsana I Wayan Balik Sudarsana I Wayan Balik Sudarsana I Wayan Balik Sudarsana I Wayan Supardi I Wayan Supardi I. M. Yuliara I. M. Yuliara Ida Bagus Made Suryatika Ida Bagus Made Suryatika Ida Bagus Putu Priastana Bawa Indrayana, Putu Tedy Irhas, Rozi Jaya, I Putu Wesa Angga Kasmawan, I. G. Antha Keintjem, Regina Gabriel Komang Ngurah Suarbawa Komang Sugiarta Made Aditya Jaya Mahardika Maghfirotul Iffah Marcellino, Nathaniel Mberato, Anastasia Jessing Gamalita Mberato, Anastasya Jessning Gamalita Mberato N. L. P. Trisnawati Nabilla Fatimah Ni Kadek Nova Anggarani Ni Kadek Nova Anggarani Ni Komang Tri Suandayani Ni Luh Putu Trisnawati Ni Putu Aprillia Artanti Phalosa Ni Putu Winiayu Veramika Ni Wayan Mega Savira Utami Nurmalasari Nurmalasari Nyoman Wendri pandu lukito Paramarta, I. B. Alit Pingki Setyowati Dewi Prameswari, Else Putri Ayu Pramitha, Ni Luh Emy Puja Satwika Luh Gede Putu Irma Wulandari Putu Wida Gunawan Ramadhan, Rafly Rizqyta Rozi Irhas Satriya Wibawa, I Made Selvi Marcellia Sismanto Siti Raudatul Jannah Suandayani, Ni Komang Tri Sudarsana, Wayan Balik Sumaja, Kadek Syarifuddin Syarifuddin Trisnawati, Ni Luh Putu Wahyulianti Wahyulianti Wayan Balik Sudarsana Winardi Tjahyo Baskoro Windarjoto Windarjoto Windarjoto Windarjoto Windarjoto Windarjoto Windarjoto, Windarjoto Windaryoto, Windaryoto Wiwik Kurniawati Yuli Nurfadhillah Yuliara, I Made