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All Journal LINK Jurnal Imejing Diagnostik Journal of Applied Health Management and Technology MAHESA : Malahayati Health Student Journal Proceeding of International Conference on Science, Education, and Technology Asian Journal of Social and Humanities International Journal Of Health And Social Behavior Welcome: Wealth Community Empowerment
Gatot Murti Wibowo
Poltekkes Kemenkes Semarang
Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences

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RADIATION DOSE REDUCTION IN BABYGRAM EXAMINATION ACCORDING TO DRLS (DIAGNOSTIC REFERENCE LEVELS) Metria Riza Sativa; Lesi Yalestiati; Gatot Murti Wibowo
Wealth Community Empowerment Vol. 2 No. 2: July 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/welcomejournal.v2i2.12661

Abstract

Radiation dose reduction in pediatric radiography, particularly for babygram examinations, is a critical concern in modern healthcare. Infants and young children are highly sensitive to ionizing radiation, necessitating stringent protection measures to minimize potential long-term health risks. This study aimed to implement and evaluate Diagnostic Reference Levels (DRL)-based strategies for optimizing radiation doses in babygram procedures at RSUD Dr. Soedirman Kebumen. A socialization program was conducted for radiology staff, including radiologists, radiographers, and medical physicists, focusing on DRL application, ALARA principles, immobilization techniques, and collimation strategies. Results showed improved adherence to DRL guidelines, enhanced awareness among staff, and more effective use of dose reduction techniques. Evaluations indicated significant potential for dose reduction without compromising diagnostic quality. By incorporating advanced dose reduction techniques and conducting regular audits, this study concludes that implementing DRL-based strategies significantly enhances patient safety in pediatric radiography while maintaining diagnostic efficacy. Recommendations include prioritizing professional development, regular quality assessments, and expanding the use of DRLs alongside investments in automated planning technologies. 
TRAINING AND MENTORING IN MAKING BEETROOT FOOD AND DRINKS TO PREVENT CANCER Mega Indah Puspita; Sugiyanto Sugiyanto; Gatot Murti Wibowo; Susi Tri Isnoviasih; Gharis Sabrina Nur Fitri; Tamanda Rahmi; Priska Puspa Sari; A May Twenty Natalie Solecha; Irna Norita Sari
Wealth Community Empowerment Vol. 2 No. 2: July 2025
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/welcomejournal.v2i2.13700

Abstract

Beetroot, also known as Beta Vulgaris L, is a type of tuber plant that is reddish purple in color and has a shape similar to a potato. The pigment found in red beets is betalain, betalain is a class of antioxidants. Betacyanin is classified as an antioxidant that can prevent cancer, Cancer is one of the most devastating diseases affecting many people around the world. It is characterized by the uncontrolled growth of abnormal cells in the body, which can spread to other tissues through a process called metastasis. Beetroot has been linked to various health benefits, including its ability to fight cancer. However, public knowledge and understanding of the benefits of beetroot and how to cook it creatively and enjoyably is still limited.The solution is provided through training and mentoring for the community in making foods and beverages containing beetroot, ranging from practical training sessions to creating recipes that are easy to understand and follow. method of providing material on the importance of beetroot for preventing cancer as well as training and mentoring or hands-on in making beetroot juice and pudding.This community service activity was held at the Dinar Indah Cluster, RT 04 RW 26 Meteseh, Tembalang, with 30 participants. The activity included providing information on the importance of beetroot in preventing cancer. Community service activities also involve hands-on activities involving making beetroot juice and pudding by participants. Based on the results of the comparison between the pre-test and post-test, there was a significant increase between the scores of 40-60 to 80-100. This increase in scores indicates that the participants' understanding of beetroot, starting from the scientific aspects, nutritional content, to its role in cancer prevention, has experienced a real increase, and 100% of participants stated that the benefits of beetroot are very good for preventing cancer and encouraging people to adopt healthy behavior by diligently consuming beetroot.
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.
Efektivitas Nilai PSNR dan Informasi Citra terhadap Kombinasi Teknik Bilateral Filter dan Non-Local Means sebagai Denoising pada Verifikasi Radioterapi Regio Pelvis Nyoman Indah Sukmasari; Gatot Murti Wibowo; Bagus Dwi Handoko; Bedjo Santoso; Siti Masrochah
MAHESA : Malahayati Health Student Journal Vol 6, No 4 (2026): Volume 6 Nomor 4 (2026)
Publisher : Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/mahesa.v6i4.22131

Abstract

ABSTRACT The quality of radiotherapy verification images on a 6 MeV Linear Accelerator (Linac) often decreases due to noise generated by high energy, potentially reducing the accuracy of irradiation positioning and endangering surrounding healthy tissues. The combination of Bilateral Filter and Non-Local Means techniques is a denoising method designed to reduce noise while preserving important image details. This study aims to evaluate the effectiveness of combining these two techniques in improving the quality of pelvis region verification images, focusing on the quantitative parameter Peak Signal-to-Noise Ratio (PSNR) and the qualitative parameter of image information. The research design used was Research and Development (RD) with 20 samples of anteroposterior (AP) and lateral projection verification images obtained from the Electronic Portal Imaging Device (EPID) of a 6 MeV Linac at the Radiotherapy Unit of RSUD Dr. Moewardi. The denoising process was performed using Python–OpenCV. PSNR values were measured before and after denoising, while image information was assessed by four expert evaluators using a 1–5 scale checklist. Statistical analysis employed paired t-test or Wilcoxon test for PSNR, and Wilcoxon test as well as Cohen’s Kappa for image information. The results showed a significant increase in PSNR values in both projections (p 0.05) with an N-gain score of 59%–64%. Image information assessment also showed a significant improvement (p 0.05), with Cohen’s Kappa indicating moderate to strong agreement among evaluators. Therefore, the combination of Bilateral Filter and Non-Local Means has been proven effective in improving the quality of pelvis region radiotherapy verification images, potentially enhancing irradiation accuracy and patient safety. Keywords: PSNR, Bilateral Filter, Non Local Means, Radiotherapy.  ABSTRAK Kualitas citra verifikasi radioterapi pada Linear Accelerator (Linac) 6 MeV sering menurun akibat noise yang dihasilkan oleh energi tinggi, sehingga berpotensi mengurangi akurasi penentuan posisi penyinaran dan membahayakan jaringan sehat di sekitarnya. Kombinasi teknik Bilateral Filter dan Non-Local Means merupakan metode denoising yang dirancang untuk mengurangi noise sekaligus mempertahankan detail penting citra. Penelitian ini bertujuan mengevaluasi efektivitas kombinasi kedua teknik tersebut dalam meningkatkan kualitas citra verifikasi regio pelvis, dengan fokus pada parameter kuantitatif Peak Signal to Noise Ratio (PSNR) dan parameter kualitatif informasi citra. Desain penelitian yang digunakan Adalah Research and Development (RnD) dengan 20 sampel citra verifikasi proyeksi AP dan lateral yang diambil dari Electronic Portal Imaging Device (EPID) Linac 6 MeV di Instalasi Radioterapi RSUD Dr. Moewardi. Proses denoising dilakukan menggunakan Python–OpenCV. Nilai PSNR diukur sebelum dan sesudah denoising, sedangkan informasi citra dinilai oleh empat penilai ahli menggunakan lembar checklist skala 1–5. Analisis statistik menggunakan uji paired t-test atau Wilcoxon untuk PSNR, dan uji Wilcoxon serta Cohen’s Kappa untuk informasi citra. Hasil penelitian menunjukkan adanya peningkatan signifikan nilai PSNR pada kedua proyeksi (p0,05) dengan N-gain skor 59%–64%. Penilaian informasi citra juga meningkat signifikan (p0,05), dengan nilai Cohen’s Kappa menunjukkan kesepakatan moderat hingga kuat antar penilai. Dengan demikian, kombinasi Bilateral Filter dan Non-Local Means terbukti efektif meningkatkan kualitas citra verifikasi radioterapi regio pelvis, yang berpotensi meningkatkan akurasi penyinaran dan keselamatan pasien. Kata Kunci: PSNR, Bilateral Filter, Non Local Means, Radioterapi.
Co-Authors A May Twenty Natalie Solecha Ahmad Hariri Ahmad Hariri Bagus Abimanyu Bagus Dwi Handoko Bambang Satoto Barra Putra Danuwarika Bedjo Santoso Budi Triyantoro Darmini Darmini Dimas Prakoso Donny Kristanto Mulyantoro Edy Susanto Emi Murniati Fahkruddin Fahkruddin Gharis Sabrina Nur Fitri Gusti Bagus Yudhi Jaya Putra Atmaja Hari Rudijanto I.W Hari Santoso I Made Lana Prasetya Ildsa Maulidya Mar'athus Nasokha Irna Norita Sari Irwan Katili Lesi Yalestiati M. Choiroel Anwar MAIZZA NADIA PUTR Mega Indah Puspita Metria Riza Sativa Muhammad Khafid Nur Wahyu Tajuddin Nyoman Indah Sukmasari Priska Puspa Sari Ratianto Ratianto Rini Indrati Rustono Rustono Siti Masrochah Sri Mulyati Sugiyanto Sugiyanto Susi Tri Isnoviasih Tamanda Rahmi Tri Asih Budiarti