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Contact Name
Dwiza Riana
Contact Email
dwizariana22@gmail.com
Phone
+6281771998
Journal Mail Official
jmedinftech@gmail.com
Editorial Address
Jl. Raya Jatiwaringin No.2, Jakarta-13620, Indonesia
Location
Kota padang,
Sumatera barat
INDONESIA
Journal Medical Informatics Technology
ISSN : 29887003     EISSN : 29887003     DOI : https://doi.org/10.37034/medinftech
Journal Medical Informatics Technology publishes papers on innovative applications, development of new technologies and efficient solutions in Health Professions, Medicine, Neuroscience, Nursing, Dentistry, Immunology, Pharmacology, Toxicology, Psychology, Pharmaceutics, Medical Records, Disease Informatics, Medical Imaging and scientific research to improve knowledge and practice in the field of Medical.
Articles 5 Documents
Search results for , issue "Volume 3 No. 1, March 2025" : 5 Documents clear
Identification of Diseases in Apple Fruits Using Advanced Image Processing Techniques Wiguna, Bima Aviandi
Journal Medical Informatics Technology Volume 3 No. 1, March 2025
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v3i1.44

Abstract

Diseases in apple crops are a significant problem in agriculture, causing major economic losses. Early identification of diseases is essential to prevent further spread and severe damage. Image processing techniques have become a promising tool for faster and more accurate disease detection compared to conventional methods. This research aims to identify diseases in apple fruits using advanced image processing techniques, focusing on improving accuracy and efficiency to support timely and effective control measures. The research encompasses four main stages in image processing: Enlarge, Pre-Processing, Enhancement, and Convolution. The Enlarge stage magnifies the image to detect details of the infected area. Pre-Processing reduces noise, removes irrelevant background, and normalizes image intensity. The Enhancement stage improves contrast and clarity of the disease-affected apple image, facilitating easier detection. The Convolution stage employs a convolution filter to highlight patterns or disease signatures difficult to recognize manually. A dataset of images of apples infected with different diseases was used to validate and test the method. The proposed method demonstrated a 15% increase in accuracy and a 20% reduction in detection time compared to conventional methods. This technique has proven effective in enhancing detection accuracy and efficiency, showing great potential for integration into automated plant health monitoring systems.
Identifying Barriers to Optimal Pain Management in ICU Nurses: A Cross-Sectional Analysis Iklima, Nurul; Maidartati, Maidartati; Irawan, Erna; Nurlianawati, Lia; Nuryanti, Lisna
Journal Medical Informatics Technology Volume 3 No. 1, March 2025
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v3i1.67

Abstract

Pain is a sensitive indicator in the nursing process, so assessment and pain management are the key factors to determining the quality of care and patient satisfaction, especially in critical care areas. The poor handling of pain can have a negative impact on critical patients. Pain management is influenced by internal factors and external factors. Internal factors are knowledge and attitudes while external factors are factors of organizational support and professional authority. This study aims to analyze the factors associated with the implementation of pain management. This study is a quantitative study with an analytic correlation design. The total sample of 84 nurses was taken using the total sampling technique. Data were collected using five questionnaires, namely Regarding Pain Knowledge and Attitudes Survey questionnaire, Perceived Organizational Support, Nursing Autonomy, and Current Practice Related to Pain Assessment and Pain Management. The results showed that the implementation of pain management was quite optimal (51.2%), factors related to the value (p <0.005), The dominant factors contribution score (35.7% for knowledge). The implementation of pain management is quite optimal, but there are some obstacles related to the implementation of pain management including knowledge, attitudes, and professional authority. Nurses are expected to increase their knowledge and competence through education and training to maintain the quality of the implementation of pain management.
The Impact of Early Weaning on Nutritional Status of Children Aged 6–24 Months in Cinambo Maidartati, Maidartati; Iklima, Nurul; Irawan, Erna; Sari, Putri Puspita; Wijayanti, Anita Putri
Journal Medical Informatics Technology Volume 3 No. 1, March 2025
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v3i1.69

Abstract

The weaning period is critical as it marks the transition from breastfeeding to solid foods, during which infants are particularly susceptible to nutritional disorders. The optimal weaning age is generally around two years, as breastfeeding until this age significantly supports a child's growth. Factors influencing weaning include parental education, economic status, parental employment, and the age of weaning. The timing of weaning is related to nutritional status since a child's diet shifts from exclusively breast milk to a combination of breast milk and solid foods, with increased energy and nutritional needs. This study investigates the relationship between weaning age and nutritional status in children aged 6-24 months at Puskesmas Cinambo, Bandung City. Employing a cross-sectional analytical design, the population includes mothers of children in this age range, totaling 534 respondents. Accidental sampling yielded 118 respondents over one week. Data were collected through questionnaires and analyzed using univariate and bivariate methods, with significance set at p<0.05. Results indicated that 52.5% of respondents had normal nutritional status, while 47.5% were undernourished. Most weaning ages were found to be inappropriate, with 66.1% weaning before the recommended age of 24 months. The Spearman Rank test revealed a significant relationship (p=0.020), confirming H1. In conclusion, there is a relationship between weaning age and nutritional status in children aged 6-24 months at Puskesmas Cinambo. Health services should provide regular education on appropriate weaning practices to enhance the nutritional status of this age group.
Effect of Disease Acceptance on Glycemic Control in Type 2 Diabetes Mellitus Patients Muhammad Arbyanka Diontama; TA Larasati; Anisa Nuraisa Jausal; Lisiswanti, Rika
Journal Medical Informatics Technology Volume 3 No. 1, March 2025
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v3i1.98

Abstract

This study aims to analyze the relationship between disease acceptance and glycemic control in patients with type 2 diabetes mellitus (T2DM). A narrative systematic review was conducted using the Preferred Reporting Items for Systematic Reviews method, identifying 929 articles from various scientific databases, including PubMed®, ScienceDirect®, Cochrane Library®, and Google Scholar®. The screening and selection process resulted in 19 relevant articles, consisting of a mix of experimental studies and observational studies, that were analyzed to evaluate the impact of disease acceptance on diabetes management and glycemic control in T2DM patients. The review findings show that higher disease acceptance is significantly associated with improved self-management, better glycemic control (with reduced HbA1c levels), and decreased levels of stress and depressive symptoms. Several acceptance-based psychological interventions, such as Acceptance and Commitment Therapy (ACT) and group education programs, were found effective in enhancing disease acceptance. These interventions also help patients achieve optimal glycemic control. These findings emphasize the importance of applying psychological approaches in the management of T2DM to support more comprehensive and sustainable disease care, ultimately improving the quality of life for T2DM patients
The Role of Virtual Reality in Psychiatric Treatment: A Literature Review Şişik, Ravza Nur; Emre, Ilkim Ecem
Journal Medical Informatics Technology Volume 3 No. 1, March 2025
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v3i1.103

Abstract

Virtual reality (VR) is one of the immersive breakthroughs of rapidly growing technology. This VR technology, offers a 3-dimensional virtual environment to users while enabling interaction with this environment in various ways. VR can be seen in various sectors, including mental health care. Virtual Reality Exposure Therapy (VRET) has been established as an innovative approach for treating psychiatric disorders like social anxiety, obsessive-compulsive disorder (OCD), post-traumatic disorder, phobias, and other disorders (psychosis, functional neurological disorder (FND), and neuropsychological disorders) by offering individuals more controlled, interactive virtual environments that simulate triggering situations. In this review, the role of VR as a psychiatric treatment is explored. In total 50 articles were reviewed and reported in the study. Although the findings are promising, some limitations and challenges are detected. One of the concerns is relapse rates; no detailed studies are addressing it. In addition, in studies, cybersickness is reported, which can cause dizziness, nausea, and headache. In conclusion, while studies support VRET’s effectiveness, it is necessary to investigate further its long-term effects. Future studies should concentrate on conducting larger clinical trials and incorporating VR into standard therapeutic practices to fully harness its potential in treating mental health issues.

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