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All Journal Jurnal Riset Kesehatan Jurnal Imejing Diagnostik MATAPPA: Jurnal Pengabdian Kepada Masyarakat Jurnal Radiografer Indonesia International Journal Of Public Health Welcome: Wealth Community Empowerment
Bagus Abimanyu
Poltekkes Kemenkes Semarang
Education Health Professions Medicine & Pharmacology Nursing Public Health Social Sciences

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Penerapan Algoritma Adaptive Iterative Dose Reduction 3D (AIDR 3D) dalam Meningkatkan Kualitas Citra pada Pemeriksaan CT Coronary Angiography Alfisna Fajru Rohmah; Bagus Abimanyu; Edy Susanto
Jurnal Imejing Diagnostik (JImeD) Vol 10, No 2 (2024): JULI 2024
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jimed.v10i2.11346

Abstract

Background: CT Coronary Angiography (CTCA) is a non-invasive imaging modality with a high spatial and temporal resolution to diagnose coronary vascular disease. FBP (Filtered Back Projection) has limitations in improving the image quality, so iterative reconstruction is used on CTCA. Adaptive Iterative Dose Reduction (AIDR 3D) is one of the iterative reconstructions developed by Toshiba, which has three levels of strength: mild, standard, and strong. The study aimed to explain the application of AIDR 3D in improving image quality on coronary CT angiography examination. Methods: This research is descriptive with a literature study approach, using articles from NCBI, Science Direct, and Google Scholar. The keywords used are CT Coronary Angiography, AIDR 3D, and Image Quality. The articles obtained are reduced based on inclusion and exclusion criteria so that seven relevant articles are conducted for extraction.Results: The results showed that AIDR 3D could improve the quality of CTCA images with the most significant percentage in AIDR 3D strong by reducing noise 18-46.1% and increasing SNR 21-84.7% and CNR 21-82.2%.Conclusions: The application of AIDR 3D strong in obese patients with CTCA is good to use with standard kVp and 250-450 mA without increasing mA so that it does not increase the dose. AIDR 3D strong can also be used in patients with normal body mass with tube current adjusted according to the patient's body mass if there is no indication on the right coronary artery. AIDR 3D standard can be used in overweight patients and normal body mass.
Development of Radiology Management System for Digital-Based Operational Implementation of Officer Schedules Astri Kusuma Cahyani; Bambang Satoto; Bagus Abimanyu
International Journal of Public Health Vol. 2 No. 3 (2025): September : International Journal of Public Health
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijph.v2i3.510

Abstract

Background: The scheduling of work of health workers, especially radiographers in type B hospitals, is a complex challenge due to the variety of radiology modalities, variations in the number of human resources, and the provisions of working hours regulations from the Ministry of Health of the Republic of Indonesia. Manual scheduling that is still in use tends to cause workload inequality, conflicts between employees, and operational inefficiencies. Objective: This study aims to design and develop an Artificial Intelligence (AI)-based radiographer shift scheduling system that is able to prepare work schedules automatically, fairly, flexibly, and integratedly, in accordance with hospital service regulations and needs. Research Method: This type of research is Research and Development (R&D). The development process is carried out through the stages of needs analysis, designing Python and Flask-based systems, simulating tests on data, and expert validation then the data collected and described from the initial mapping and also mapping potential problem-solving. Results: The system successfully manages morning, noon, night, and holiday shift schedules based on competence, fair rotation, and maximum working hours provisions. By showing a significant difference between user perceptions before and after using the system, which reflects improved efficiency, fairness, and ease of access to schedules. Respondents expressed satisfaction with the override feature and integrated notifications. Conclusion: The development of an AI-based radiographer shift scheduling system has proven to be feasible and effective in overcoming managerial problems of work scheduling in hospitals. This system is able to increase efficiency, transparency, and user satisfaction, and has the potential to be widely applied to various types of hospitals in Indonesia.
APPLICATION OF THE DESIGN AND CONSTRUCTION RESULTS OF AN OBLIQUE LUMBAR RADIOGRAPHY EXAMINATION AID Agustina Dwi Prastanti; Akhmad Haris Sulistiyadi; Bagus Abimanyu
Wealth Community Empowerment Vol. 2 No. 2 (2025): August 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/welcomejournal.v2i2.13733

Abstract

Oblique lumbar radiographic examinations require assistive devices to facilitate patient positioning and produce accurate radiographs showing the Scottie dog sign. Oblique lumbar patient positioning requires the patient to be tilted 45 degrees to the right or Right Posterior Oblique (RPO) and 45 degrees to the left or Left Posterior Oblique (LPO). The results of the design and construction of the oblique lumbar radiography examination aid need to be implemented in real-world healthcare services within the hospital's radiology unit. The purpose of this community service is to introduce, educate, and implement the results of the design and construction of an oblique lumbar radiography examination aid. The community service methods are thru lectures, discussions, and hands-on practice. The community service element involves Radiographers in hospitals where there is a demand for oblique lumbar radiographic examinations, as well as student interns. The direct application of the oblique lumbar radiographic examination aid by Radiographers on patients has successfully produced oblique lumbar radiographs that clearly show the Scottie dog sign, thereby improving healthcare services, particularly in the field of radiology.
Co-Authors A. Gunawan Santoso Agustina Dwi Prastanti Agustina Dwi Prastanti Akhmad Haris Sulistiyadi Alfisna Fajru Rohmah Andrey Nino Kurniawan Ardi Soesilo Wibowo Astri Kusuma Cahyani Azlan Yazid Bambang Satoto Darmini Darmini Darmini Darmini Dartini Dartini Dartini Dartini Dimas Prakoso Dwi Rochmayanti Edy Susanto Edy Susanto Fani Susanto Fani Susanto Fatimah Gatot Murti Wibowo Gunawan Khairul Anam Gunawan Santoso Gusti Bagus Yudhi Jaya Putra Atmaja Jannah, Marichatul Jeffri Ardiyanto Legif Leboka Sepra Luthfi Rusyadi Muhammad Raizal Rais Nanang Sulaksono Nugroho Yudho Susilo Panji Wibowo Nurcahyo Rini Indrati Rini Indrati Riza Pahlivi Salis Nurbaiti Siti Masrochah Susi Tri Isnoviasih Taufiq Taufiq Titien Sumarni Tri Puji Hastuti Trihadijaya, Agi Febrian Wiratno Wiratno Yeti Kartikasari Yeti Kartikasari