Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

2.693

P-Index

This Author published in this journals

All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Global Medical and Health Communication EMITTER International Journal of Engineering Technology MNJ (Malang Neurology Journal) Molecular and Cellular Biomedical Sciences (MCBS) Knowledge Engineering and Data Science Journal Of Vocational Health Studies Jurnal Pengabdian Pada Masyarakat JUXTA: Jurnal Ilmiah Mahasiswa Kedokteran Universitas Airlangga Jurnal Pengabdian Masyarakat dalam Kesehatan Indian Journal of Forensic Medicine & Toxicology Poltekita: Jurnal Pengabdian Masyarakat Jurnal Radiografer Indonesia AKSONA International Journal of Radiology and Imaging

Sensusiati, Anggraini Dwi

Department Of Radiology, Faculty Of Medicine, Universitas Airlangga/Universitas Airlangga Hospital, Surabaya, Indonesia.

Author-ID : 3701567

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Education Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health Other

Published : 26 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3

Bone Age Measurement in Pediatric Patients of Universitas Airlangga Hospital from January 2018 to December 2019 Dinda Chandra Yuliantari; Anggraini Dwi Sensusiati; Ahmad Suryawan; Muhammad Faizi
JUXTA: Jurnal Ilmiah Mahasiswa Kedokteran Universitas Airlangga Vol. 13 No. 2 (2022): Jurnal Ilmiah Mahasiswa Kedokteran Universitas Airlangga
Publisher : Faculty of Medicine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/juxta.V13I22022.83-87

Highlights:1. There was a significant relationship between bone age calculated by the Tanner Whitehouse II method (TW2-20) and chronological age.2. There was a slowdown in bone age in pediatric patients at Universitas Airlangga Hospital (RSUA). AbstractIntroduction: Bone age is an indicator of biological and skeletal maturity in individuals. It is different from chronological age which is calculated based on the time of birth. The differences in chronological age and bone age can indicate abnormalities in bone development. This study aimed to determine the profile of bone age in pediatric patients at Universitas Airlangga Hospital and the relationship between bone ages examined using the Tanner Whitehouse II (TW2-20) method and their chronological ages.Methods: This was a cross-sectional observational analytic study. Secondary data were collected from medical records and X-Ray examination results from Department of Radiology Universitas Airlangga Hospital (RSUA) Surabaya from January 2018 to December 2019. The data of age, gender, and history of illness were taken. From the collected X-ray results, bone age was examined using the TW2-20 method. Then, a normality test was performed using the Shapiro-Wilk for data less than 50 samples. The results showed that the data were normally distributed (p = 0.419). Data processing of the difference between bone age and chronological age was performed using the parametric paired T-test with a confidence level of 95%.Results: 32 samples were obtained from pediatric patients undergoing X-ray examinations from January 2018 to December 2019. The average bone age difference in male patients was 0.64 years old with the highest average difference found in the age range of 9-11.99 years old. The average bone age difference in female patients was 1.1 years old with the highest average difference found in the age range of 12-14.99 years old. There was a significant difference between bone age calculated using the TW2-20 method and chronological age (p < 0.001).Conclusion: Based on the comparison of the average bone age in pediatric patients and their chronological age, all samples showed deceleration of bone age in pediatric patients at RSUA. Based on the analytical study, the TW2-20 method was not suitable for the sample examined.

Automatic 3D Cranial Landmark Positioning based on Surface Curvature Feature using Machine Learning Putu Hendra Suputra; Anggraini Dwi Sensusiati; Myrtati Dyah Artaria; Gijsbertus Jacob Verkerke; Eko Mulyanto Yuniarno; I Ketut Eddy Purnama
Knowledge Engineering and Data Science Vol 5, No 1 (2022)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um018v5i12022p27-40

Cranial anthropometric reference points (landmarks) play an important role in craniofacial reconstruction and identification. Knowledge to detect the position of landmarks is critical. This work aims to locate landmarks automatically. Landmarks positioning using Surface Curvature Feature (SCF) is inspired by conventional methods of finding landmarks based on morphometrical features. Each cranial landmark has a unique shape. With the appropriate 3D descriptors, the computer can draw associations between shapes and landmarks using machine learning. The challenge in classification and detection in three-dimensional space is to determine the model and data representation. Using three-dimensional raw data in machine learning is a serious volumetric issue. This work uses the Surface Curvature Feature as a three-dimensional descriptor. It extracts the local surface curvature shape into a projection sequential value (depth). A machine learning method is developed to determine the position of landmarks based on local surface shape characteristics. Classification is carried out from the top-n prediction probabilities for each landmark class, from a set of predictions, then filtered to get pinpoint accuracy. The landmark prediction points are hypothetically clustered in a particular area, so a cluster-based filter is appropriate to isolate them. The learning model successfully detected the landmarks, with the average distance between the prediction points and the ground truth being 0.0326 normalized units. The cluster-based filter is implemented to increase accuracy compared to the ground truth. Thus, SCF is suitable as a 3D descriptor of cranial landmarks.

PENGARUH VARIASI ROTATION TIME TERHADAP NILAI DLP (DOSE LENGTH PRODUCT) DAN IMAGE NOISE PADA PESAWAT MSCT 128 SLICE (STUDI KASUS) Asmaul Fauziyah; Amillia Kartika Sari; Soegardo Indra P; Anggraini Dwi Sensusiati; Pramono
JRI (Jurnal Radiografer Indonesia) Vol. 1 No. 1 (2018)
Publisher : Perhimpunan Radiografer Indonesia (PARI)

Background: The patient's dose and image noise illustrate the quality of the CT scan. DLP (Dose Lenght Product) is a dose description on a CT-Scan tool by providing a measure of the total amount of radiation exposure for a series of scans. While image noise is the difference / variation in pixel values contained in an image matrix. The use of rotation time in CT scan is the most likely to contribute to patient dose and image noise. Method: Toshiba Aquilion 128 MSCT aircraft and Acrilyc phantom were used as material in this study. The parameters on the CT-Scan tool used are the suitability test parameters, namely at kV 120, 400mA, slice thickness 2 mm, FOV 240. Rotation time variations on CT scan imaging that can be selected are in the range of values of 0.35s, 0.375s, 0.4s , 0.45s, 0.5s, 0.6s, 0.75s, 1.0s while the other parameters are the same. From each rotation time value, the estimated dose value is the DLP value on the CT Scan monitor screen (Summary). Furthermore, the scanning results measure the noise value by measuring the ROI on the middle side of the area around a diameter of 2-3 cm2. The measurement results are recorded and entered into tables, graphs and tests with statistics, and test the effect (regression) as hypothesis testing with a significant value (α) <0.05. This research was conducted in the Radiology IRD unit of Dr. RSU. Soetomo. Results: Obtained DLP values of 37.3 mGy.cm, 28.4 mGy.cm, 23.1 mGy.cm, 19.5 mGy.cm, 17.8 mGy.cm, 16 mGy.cm, 15.1 mGy.cm and 14.2 mGy.cm at rotation times of 1.0s, 0.75s, 0.6s, 0.5s, 0.45s, 0.4s, 0.375s, 0.35s. For the assessment of image noise the results are 5.6 HU, 5.5 HU, 5.3 HU, 5.1 HU, 4.8 HU, 4.5 HU, 4.1 HU and 3.4 HU at rotation time 0 , 35s, 0.375s, 0.4s, 0.45s, 0.5s, 0.6s, 0.75s, 0.5s, and 1s. From the above results obtained the value of DLP at the lowest radiation dose on the use of rotation time of 0.35 sec which is 14.2 mGy.cm and the largest at 1.0 sec is 37.3 mGy.cm, with a regression coefficient of 1,785 + 35,507 with a value of 0,000 so that the effect is very significant . In this case it shows that the contribution of rotation time effect on optimization of the estimated DLP value is 100%. Noise value at the variation of rotation time values found that 0.35 s produces an optimum noise of 5.6 HU and 1.0 sec produces the smallest noise of 3.4 HU. This can be seen from the regression coefficient of 6,637 - 3,344 with a value (α) <0.05. In this case it shows that the contribution of rotation time to the image noise value is 97.8% while the remaining 2.2% is influenced by other variables contained in the model. Conclusion: The use of slower rotation time is still recommended to produce optimal image quality in certain cases, because the noise value is close to zero and is still within the limits of the normal noise value. Each increase in rotation time of one unit will increase the optimization value of the estimated DLP by 35.507, so that it can be said there is no significant difference even though the measurement looks very varied in value.

Pelatihan Kader Tuberkulosis di Wilayah Kerja Puskesmas Bluto sebagai Upaya Penurunan Kasus Anggraini Dwi Sensusiati; Alfian Nur Rosyid; Arina Dery Puspitasari
Poltekita: Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2023): April-Juni
Publisher : Pusat Penelitian & Pengabdian Masyarakat Poltekkes Kemenkes Palu

Indonesia is the 3rd ranked country with the highest number of TB cases in the world, namely 845,000 cases in 2020. In the same year, the number of suspected TB in East Java was 42,922 cases and Sumenep Regency was in the 11th position with the most TB with 1,924 cases. Therefore, community service activities aim to carry out training for TB cadres at the Bluto Health Center as an effort to reduce TB cases. Community service activities are carried out from April to July 2022. Activities begin with planning, obtaining permits, coordination meetings, training preparations, conducting webinars, conducting face-to-face training, pre-test and post-test evaluations. Activities went well. The impact of implementing training activities was in the form of 93% of cadres experiencing an increase in knowledge and the other 7% experiencing a decrease in knowledge. These good results can be used as a basis for local health workers to continue activities to increase the knowledge and skills of cadres using the lecture method; question and answer; health promotion media in the form of videos; and direct practice. Cadres can also use the same method to educate the target community regarding TB, how to prevent and treat it.

Klasifikasi Covid-19 menggunakan Arsitektur DarkCovidNet pada Citra Radiografi X-ray Dada Wahyuningrum, Rima Tri; Putra, Wahyu Zainur; Satoto, Budi Dwi; Sari, Amillia Kartika; Sensusiati, Anggraini Dwi
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 10, No 1 (2024): Volume 10 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v10i1.69817

Covid-19 adalah penyakit severe acute respiratory syndrome. Coronavirus menjadi penyebab gangguan pernapasan dan infeksi paru paru, sehingga dapat menyebabkan kematian. Penyakit Covid-19 sudah tersebar ke seluruh negara termasuk negara Indonesia. Meskipun saat ini, Covid-19 telah mereda namun pencegahan maupun penanganannya tetap dibutuhkan. Oleh karena itu sangat diperlukan alat untuk mendiagnosis penyakit Covid-19 pada X-ray dada. Penggunaan klasifikasi citra berfungsi untuk memproses penggabungan piksel pada suatu citra ke dalam kelompok untuk diinterpretasikan sebagai bentuk properti yang spesifik. Dengan klasifikasi citra, mampu mempermudah pengelompokan individu untuk mewakili fitur kelas citra. Pada penelitian citra radiografi X-ray dada ini, menggunakan multiclass-classification yang terdiri dari 3 kelas yaitu: Covid-19, Normal (No-Findings), dan Pneumonia. Dataset yang diperoleh berjumlah 4.945 citra X-ray. Pertama, dilakukan proses input citra dan resize image. Setelah itu dilakukan pembagian data yaitu 80% sebagai data train dan 20% sebagai data test. Pada proses pelatihan (train) akan menggunakan model DarkCovidNet. Arsitektur yang diusulkan terdiri dari 19 convolutional layer dan 5 maxpooling. Model ini terdapat proses DarkNet (DN). DN terdiri dari proses convolutional, batch normalization dan LeakyReLU. Pada skenario uji coba menggunakan optimasi Adam, reduce learning rate, dan menambahkan 3 hidden layer. Hasil uji coba terbaik terdapat pada uji coba keempat dengan hasil akurasi sebesar 95,85%, F1-score 95,89%, AUC 99,48%. Dengan demikian model DarkCovidNet tersebut sangat bagus dalam melakukan klasifikasi citra X-ray dada.

THE RADIATION DOSE PROFILE IN PEDIATRIC INTERVENTIONAL CARDIOLOGY TO ESTIMATE THE STOCHASTIC EFFECT RISK: PRELIMINARY STUDY Muqmiroh, Lailatul; Praptono, Soegardo Indra; Rusmanto, Rusmanto; Latifah, Risalatul; Sensusiati, Anggraini Dwi
Journal of Vocational Health Studies Vol. 1 No. 3 (2018): March 2018 | JOURNAL OF VOCATIONAL HEALTH STUDIES
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jvhs.V1.I3.2018.107-112

Background: The specific characteristic of anatomy and physiology of children cause the risk of radiation effects received when they underwent the interventional cardiology procedures higher than an adult. Purpose: to estimate the stochastic effect risk in a pediatric patient during interventional cardiology procedures. Method: Data collection was performed by placing thermoluminescence dosimeter (TLD) on thyroid, gonad, left and right thoracic areas, and the 5th thoracic vertebrae during interventional cardiology. Result: The results showed that the greatest exposure was received around vertebrae (bone marrow) because of the superimpose X-ray on the vertebrae during the procedures. Conclusion: The greatest probability of stochastic effect that happened was leukemia. Estimation risk ratio of leukemia was 0, 9 % and thyroid cancer was 0,037%.

ANALYSIS OF FRACTIONAL ANISOTROPY (FA) VALUES AND APPARENT DIFFUSION COEFFICIENT (ADC) VALUES IN ISCHEMIC STROKE DISEASES OF MRI GE 3 TESLA Mustofa, Ali; Sensusiati, Anggraini Dwi; Muhaimin, Muhaimin; Utomo, Sri Andreani; Latifah, Risalatul
Journal of Vocational Health Studies Vol. 2 No. 3 (2019): March 2019 | JOURNAL OF VOCATIONAL HEALTH STUDIES
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Background: Diffusion Weighted Imaging and Diffusion Tensor Imaging is an advanced technique in MRI that shows the diffusion in brain of ischemic stroke disease. Diffusion Weighted Imaging (DWI) shows the lesions without gadolinium contrast agent and produce Apparent Diffusion Coefficient values. Whereas, Diffusion Tensor Imaging (DTI) shows connectivity's of central nervous system that cannot be seen by using conventional MRI. Diffusion Tensor Imaging produces Fractional Anisotropy values. Purpose:This study has aim to analyze the Apparent Diffusion Coefficient values and Fractional Anisotropy values in Stroke Ischemic disease. Method: Total samples used are 14 samples, consist of 7 (50%) man and 7 (50%) woman with ischemic stroke disease. Each sample deals by Diffusion Weighted Imaging and Diffusion Tensor Imaging sequences. The Region of Interest (ROI) is placed in ischemic stroke lesions and contra lateral side of lesions. Result: The result shows that 9 samples of brain tissue lesions located in the right side and 5 samples in the left side. Right lesions have the average ADC stroke: 0.001748; normal ADC: 0.000954; FA stroke: 0.144522; and normal FA: 0.426111. While, left lesions have the average ADC strokes 0.000979; normal ADC: 0.000835; FA stroke: 0.2556; and normal FA 0.4324. Conclusion: So, the conclusion of this study is Apparent Diffusion Coefficient (ADC) values in case of ischemic stroke can decreases or increases depend on the age of stroke. While, the Fractional Anisotropy (FA) values will decrease without being affected by age of stroke.

MEASUREMENT OF STUDENT SATISFACTION INDEX VALUE TO IMPROVE EDUCATION QUALITY OF RADIOLOGY IMAGING TECHNOLOGY STUDY PROGRAM UNIVERSITAS AIRLANGGA Tyas, Rana Ayuning; Sari, Amilia Kartika; Witjaksono, Budi Priyo; Sensusiati, Anggraini Dwi; Praptono, Soegardo Indra
Journal of Vocational Health Studies Vol. 2 No. 3 (2019): March 2019 | JOURNAL OF VOCATIONAL HEALTH STUDIES
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Background: Measurement of student satisfaction index is part of internal quality assurance in education, which is nowdays becoming a main topic in higher education. At Radiologic Imaging Technology, there has been no research or data about student satisfaction index of education quality. Purpose: Therefore, this research objective was to establish student satisfaction index and analyze the factors. Method: This research was conducted with interviewing 129 student using questionnaire. Each questionnaire contains three indicators with twenty variables in total. Collected data will be counted to establish satisfaction index per indicator and in total. Result: The result of student satisfaction index per indicator were 2.93, 3.08, 3.26, which means neutral. Student satisfaction index in total was 61.65%, which means student is satisfied. Conclusion: The main factors of student satisfaction was relevance level of lesson given with the needed in internship.

COMPARATION OF MASTOID TRIANGLE AREA MEASUREMENT TECHNIQUES USING VOLUME RENDERING POST PROCESSING AND MULTI PLANAR REFORMATION Maduma, Anggi Tiur; Sensusiati, Anggraini Dwi; Sari, Amillia Kartika
Journal of Vocational Health Studies Vol. 4 No. 2 (2020): November 2020 | JOURNAL OF VOCATIONAL HEALTH STUDIES
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jvhs.V4.I2.2020.62-65

Background: Identification in the anthropology of the forensic world using radiographic methods can be evaluated from variations in the human skeleton. The skull is the most dimorphic part of the skeleton, precisely in the temporal bone, namely the mastoid process. The use of advanced radiological technology in the evaluation of the mastoid process in humans can be done using the CT scan modality. Purpose: To determine the measurement results of the total area of the mastoid triangle using post processing volume rendering and multi planar reformation. Method: This type of research is an analytic observational study with a retrospective approach. The number of samples used were 152 raw data of patients with criteria aged 26-65 years and without any pathological changes in the mastoid process area. This research uses simple random sampling technique. Measurements were carried out 10 times by using 2 gauges, and using 3D slicer software on volume rendering and multi planar reformation reconstruction data. Data were analyzed using the free sample T test. Result: Measurer A produces total area of mastoid triangle using volume rendering is 1165.72 ± 1.2506 and multi planar reformation is 1145.84 ± 1.46512, with a significance value of 0.204 (p > 0.05). Similar results were obtained by measuring B. Measurer A produced a total area of mastoid triangle using volume rendering is 1159.91 ± 1.29691 and an multi planar reformation is 1146.56 ± 1.4606, with a significance value of 0.400 (p > 0.05). Conclusion: The results indicated that there was no significant difference in the results of measuring the total area of mastoid triangle using post processing volume rendering and multi planar reformation.

ROLE OF RADIOGRAPHER IN HANDLING COVID-19 AT CT SCAN ROOM DURING PANDEMIC Mardliyyah, Aisyatun; Sensusiati, Anggraini Dwi; Sari, Amilia Kartika
Journal of Vocational Health Studies Vol. 4 No. 2 (2020): November 2020 | JOURNAL OF VOCATIONAL HEALTH STUDIES
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jvhs.V4.I2.2020.83-88

Background: Radiographers have a big role in handling COVID-19 during the pandemic. Radiographers not only play an important role in making good diagnostic images, but also in efforts to prevent infection transmission, especially in the CT scan room. Purpose: To compile and summarize role of radiographer in handling COVID-19 at CT scan room during pandemic. Method: The method used is literature study. Sources of data used are observations and summaries of various literature from a collection of journals selected according to predetermined criteria and then presented descriptivel/narratively. Result: Role of radiographer in handling COVID-19 at CT scan room during pandemic from various journals. Conclusion: Role of radiographer includes setting the area and staff, preparing for the examination, conducting the examination, the level of PPE use, cleaning and disinfection methods and treating medical waste.

Co-Authors Ahmad Suryawan Ali Mustofa Amillia Kartika Sari Anwar Ma'aruf Arina Dery Puspitasari Asmaul Fauziyah Asra Al Fauzi Budi Dwi Satoto Budi Suprapti Cyuzuzo Callixte Dinda Chandra Yuliantari Dusabimana Jean Damascene Eka Nora Vitaloka Aprilia Putri Winthoko Eko Mulyanto Yuniarno Gijsbertus Jacob Verkerke Hanik Badriyah Hidayati,* Mohammad Hasan Machfoed,* Kuntoro,** Soetojo,*** Budi Santoso,**** Suroto,***** Budi Utomo****** I Ketut Eddy Purnama Imami, Nabilah Hasna Izzatul Fitriyah Jannah, Maughfirotul KUSUMASTUTI, ETTY HARY Machin, Abdulloh Maduma, Anggi Tiur Marcha Debby Saraswati Mardliyyah, Aisyatun Melisa Melisa Muhaimin Muhaimin Muhammad Amin Muhammad Faizi Muhammad Hamdan Muhammad Hamdan Muqmiroh, Lailatul Myrtati Dyah Artaria Nabilah Hasna Imami Ndayisaba Daniel Pramono Praptono, Soegardo Indra Prasetyo, Firman Adi Putra, Wahyu Zainur Putu Hendra Suputra Rachmadi, Reza Fuad Rima Tri Wahyuningrum Risalatul Latifah Rosyid, Alfian Nur Rumala, Dewinda Julianensi Rusmanto, Rusmanto Sari, Amilia Kartika Sita Setyowatie Soegardo Indra P Sri Andreani Utomo, Sri Andreani Tamara Nur Budiarti Tyas, Rana Ayuning Widyaningrum, Saraswati Widyoningroem, Anita Witjaksono, Budi Priyo Yoes Prijatna Dachlan

Title

Found 26 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 26 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 26 Documents
Search