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All Journal LINK Jurnal Riset Kesehatan Jurnal Imejing Diagnostik MATAPPA: Jurnal Pengabdian Kepada Masyarakat International Journal of Health Science and Technology International Journal of Medicine and Health Asian Journal of Social and Humanities Green Health: Journal of Health Sciences, Nursing and Nutrition Welcome: Wealth Community Empowerment
Rini Indrati
Poltekkes Kemenkes Semarang
Humanities Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences

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BUTTERFLY FLOWER TEA BAGS ARE A MOOD BOOSTER AND IMMUNE BOOSTER AS WELL AS A GOOD BUSINESS IDEA WHICH HAS THE POTENTIAL TO GENERATE ADDITIONAL INCOME Agustina Dwi Prastanti; Rini Indrati; Mega Indah Puspita
Wealth Community Empowerment Vol. 1 No. 1: January 2024
Publisher : Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/welcomejournal.v1i1.11097

Abstract

The use of butterfly pea flowers in society is not yet widely known, so consumption of butterfly pea flowers is still low because many people do not know about the benefits of butterfly pea flowers as an immune booster. So it is necessary to increase the use of butterfly pea flowers so that they are easy to consume, one of which is by processing them into butterfly pea flower tea bags. The aim of carrying out this community service is to teach residents to process butterfly pea flowers into practical tea bags and package them into UMKM products that can provide additional income as a good business idea. The community service method is through lectures, discussions and direct practice. The community service element involves the head of the PKK RT, RW, and health cadres. The direct practice of processing butterfly pea flowers by the community produces results in the form of butterfly pea flower tea bags with attractive packaging and a PIRT business permit. This activity has succeeded in mobilizing residents to process butterfly pea flowers into tea bag products that are ready for consumption and marketing.
Development Of Web-Based Teleradiology Application To Enhance The Quality Of Radiology Services Eny Siswanti; A.Gunawan Santoso; Rini Indrati; Tri Asih Budiati; Rasyid Rasyid
International Journal of Medicine and Health Vol. 3 No. 2 (2024): June : International Journal of Medicine and Health (IJMH)
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijmh.v3i2.3392

Abstract

The development of digital radiology technology improves the quality of medical services, but challenges in image distribution and interpretation encourage the use of teleradiology. The development of web-based teleradiology applications is a cost-effective solution with the ability to integrate patient data and DICOM image display to improve the efficiency of radiology interpretation. This has the potential to improve the quality of radiology services by accelerating the diagnostic process and reducing the physical accessibility limitations of radiologists.This study aims to develop a web-based application as a solution to radiographic image delivery and PACS weaknesses, and test its effectiveness in improving the quality of radiology services. The research method used is the research and development (R&D) method, which aims to produce and test new products. The results of this study show that the development of a web-based teleradiology application provides an appropriate solution to the constraints of the reader's presence at the image capture site, while maintaining image quality according to DICOM standards. The application allows easy use of various devices, data exchange between medical professionals, and secure data storage. In Addition, it reduces the waiting time in the delivery and reading of radiographic images by radiologists. Compared to older methods, such as delivery via email or Whatsapp, this web application shows improved quality and accuracy of radiographic image reading.
Optimisation of Renal Cyst Detection in Ct Urography Images Using Neo-ZasAI Based on the YOLO Algorithm Zarkasyi Azri Sardar; Sudiyono Sudiyono; Rini Indrati; Aisyah Widayani
Green Health International Journal of Health Sciences Nursing and Nutrition Vol. 3 No. 1 (2026): January: 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.v3i1.268

Abstract

Background: Accurate detection of renal cysts on CT urography requires high diagnostic precision, while manual interpretation by radiologists is susceptible to inter-observer variability and potential delays in clinical decision-making. These challenges underscore the need for a reliable automated detection system to support radiological assessment. Objective: This study aims to develop and evaluate the performance of the Neo-ZasAI application based on the YOLOv8 algorithm for the automatic identification of renal cysts. Methods: Employing a Research and Development design using the ADDIE model, the study encompassed needs analysis, model design, software development, system implementation using 200 CT urography images, and diagnostic performance evaluation. Classification results generated by Neo-ZasAI were compared with radiologist readings through confusion matrix analysis and ROC–AUC assessment. Results: The findings indicate that Neo-ZasAI achieved an accuracy of 97,5%, sensitivity of 96%, specificity of 99%, positive predictive value of 98,9%, and negative predictive value of 96,1%. The ROC analysis yielded an AUC of 0.988 (p < 0.001), demonstrating excellent discriminative capability and high concordance with radiologist interpretations as the diagnostic gold standard. Conclusion: These results suggest that Neo-ZasAI is capable of performing rapid, consistent, and accurate renal cyst detection and is thus feasible for implementation as a clinical decision support system in radiology, with potential integration into PACS workflows and further development to enhance model generalizability.
Co-Authors A.Gunawan Santoso Agustina Dwi Prastanti Aisyah Widayani Arieyanti Biyono Bagus Abimanyu Bambang Satoto Bambang Satoto Darmini Darmini Donny Kristanto Mulyantoro Dwi Rochmayanti Eny Siswanti Gatot Murti Wibowo Iin Saputri Sahlan Jeffri Ardiyanto Lydia Purna W M. Irwan Katili Mega Indah Puspita Muhamad Faik Muhammad Riefki Jadmika Novriyati Wahyu Illahi Nur Wahyu Tajuddin Rasyid Rasyid Salis Nurbaiti Siti Daryati Sri Mulyati Sudiyono Sudiyono Tri Asih Budiati Yeti Kartikasari Zarkasyi Azri Sardar