Edy Susanto
Jurusan Teknik Radiodiagnostik Dan Radioterapi Poltekkes Kemenkes Semarang

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Development of a Color Doppler Phantom Based on SimuGel Gelatin as an Innovative Simulation Medium for Laboratory Practicum in the Ultrasonography Course Tiara Rahmadhini; Edy Susanto; Dwi Rochmayanti; Sigit Wijokongko; Siti Masrochah
Al Makki Health Informatics Journal Vol. 4 No. 4 (2026): Al Makki Health Informatics Journal
Publisher : Al Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/xvn38248

Abstract

Ultrasonography, particularly Doppler ultrasound, requires adequate practical skills to ensure accurate examination and interpretation of blood flow characteristics. However, student training is often limited by restricted patient availability, safety considerations, and insufficient opportunities for repeated practice. Simulation media, such as phantoms, provide a controlled and safe learning environment; however, commercial Doppler phantoms remain relatively expensive and less accessible for educational institutions. This study aimed to develop a SimuGel gelatin-based Color Doppler phantom as an innovative simulation medium for laboratory practice in ultrasonography courses. This study employed a Research and Development (R&D) method using the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model. The phantom was developed using SimuGel gelatin, glycerin, distilled water, psyllium husk, preservatives, acrylic components, and an aquarium pump-based flow system. Product feasibility was evaluated by three experts, while practicality testing involved 30 students. Data were collected through observation, questionnaires, interviews, and product trials, then analyzed descriptively using a Likert scale. The results showed that expert validation categorized the phantom as feasible, with assessment scores ranging from 2.67 to 4.00. Student evaluations indicated a very feasible category, with an average score of 3.70. The phantom successfully generated Color Doppler visualization, supported training in Doppler ultrasound parameters, and improved students’ understanding of ultrasound examination procedures. However, the continuous flow system limited the simulation of physiological pulsatile blood flow characteristics. In conclusion, the SimuGel-based Color Doppler phantom was a feasible, practical, and affordable learning medium for Doppler ultrasound education, although further improvements are required to enhance the realism of the simulated blood flow.
Implementation of Graphical User Interface (GUI) for Thyroid Gland Ultrasonography Image Segmentation and Visualization Application Based on Deep Learning Ana Septiana; Edy Susanto; Agung Nugroho Setiawan; Dicky Choirriyan
Green Health International Journal of Health Sciences Nursing and Nutrition Vol. 3 No. 2 (2026): April: Green Health: Journal of Health Sciences, Nursing and Nutrition
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/greenhealth.v3i2.312

Abstract

Background: Automatic segmentation of the thyroid gland in ultrasonography (USG) images using deep learning requires a user-friendly interface to support diagnostic and educational processes. Purpose: This study aims to develop and implement a Graphical User Interface (GUI) that integrates a deep learning U-Net model for interactive and efficient segmentation and visualization of thyroid USG images. Method: The development method employed the Rapid Application Development (RAD) approach using MATLAB programming language. The GUI is designed to load transverse and sagittal USG images, display automatic segmentation results, and calculate thyroid gland volume based on dimensions measured automatically from the segmentation output. Testing was conducted using USG image data from 15 volunteers, and GUI functionality was evaluated using black box testing. Result: The GUI successfully displayed USG images and segmentation results with a responsive 4-panel interface; zoom, pan, and image navigation features functioned well. Automatic segmentation occurred in real-time after image input, and volume measurement results appeared automatically. Black box testing evaluation showed all GUI features operated as expected. The average Dice Similarity Coefficient (DSC) of 0.91 indicates high performance of the U-Net model in thyroid segmentation, consistent with previous findings. Statistical testing confirmed no significant difference between volume measurements using the application and manual methods (p = 0.953). Conclusion: This GUI implementation facilitates users in performing deep learning-based segmentation and visualization of thyroid USG images, improving efficiency and accuracy in thyroid volume measurement. The GUI has potential applications in clinical practice and radiology education.
Rational Modelling to Support Stunting Diagnosis Rational Modelling to Support Stunting Diagnosis Siti Masrochah; Darmini Darmini; Yeti Kartika Sari; Edy Susanto
Jurnal Rekam Medis dan Informasi Kesehatan Vol. 7 No. 2 (2024): OKTOBER 2024
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jrmik.v7i2.12289

Abstract

Stunting is a health problem characterized by disrupted growth conditions in toddlers due to a lack of nutritional intake over a long period of time, starting in the womb until the child is two years old. Stunting causes children to be short in stature and is at risk of causing problems with motor and mental development. In Cilacap Regency, the prevalence of stunting reached 32.1%, above the national figure and the limit set by WHO. Therefore, accelerating stunting reduction is carried out through a holistic, integrative and multisector approach. One of the efforts made is the development of an information system to comprehensively monitor and prevent stunting, including a diagnostic model that involves various health parameters.
Development of a Web-Based Radiology Administration and Archiving Information System to Improve Radiology Services at Diponegoro National Hospital Barra Putra Danuwarika; Gatot Murti Wibowo; Ahmad Hariri; Edy Susanto; Sri Mulyati
International Journal of Health and Social Behavior Vol. 3 No. 2 (2026): May: International Journal of Health and Social Behavior
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijhsb.v3i2.625

Abstract

Background: Challenges in conventional radiology services, such as long queues and manual administrative procedures, hinder the efficiency of radiology services. With the introduction of a web-based administrative and archiving information system, it is hoped that patient registration, examination recording, and the delivery of results can be carried out effectively and efficiently. Research Objective: To design and evaluate the impact of a web-based radiology administration information system on a suitable radiology department so that it can replace the existing manual administration system in the radiology department. Method: Using the Research and Development (R&D) method and Rapid Application Development (RAD), the system was functionally tested via Blackbox Testing (Equivalence Partitioning technique) and its satisfaction level was measured using the End User Computing Satisfaction (EUCS) method. Results: Expert validation results showed that out of 89 test cases, 85 were deemed valid, achieving a validity rate of 95.5%. Furthermore, user satisfaction testing indicated that respondents were satisfied with the system’s content, accuracy, format, ease of use, and timeliness. Conclusion: this information system is capable of addressing service issues and reducing the potential for data input errors as it is fully integrated, covering medical records, administration, examinations, and the retrieval of patient results.