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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF Mother and Child Health Concerns
Safitri, Rahayu
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Computer Science & IT Health Professions Nursing Public Health

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Integration of Artificial Intelligence in Facial Recognition Systems for Software Security Santoso, Widi; Safitri, Rahayu; Samidi, Samidi
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13612

Abstract

Facial recognition technology, a cornerstone in modern software security, has seen significant advancements through the integration of Artificial Intelligence (AI). This research focuses on enhancing facial recognition systems by incorporating sophisticated machine learning algorithms and deep neural networks. By doing so, the goal is to increase the accuracy and reliability of these systems in security applications. The study uses a variety of facial datasets to train AI models that are adept at extracting facial features and recognizing patterns. These models are subjected to rigorous testing to evaluate their performance in terms of identification accuracy, processing speed, and adaptability to different environmental conditions. One of the key challenges addressed in the research is the system's vulnerability to errors and potential misuse. Ethical considerations and privacy concerns are at the forefront of the study. The research highlights the importance of designing AI-based facial recognition systems that respect user privacy and are resistant to biases, thus fostering trust and acceptance among users. The results of the study show a marked improvement in system performance, demonstrating enhanced recognition accuracy and speed, while maintaining robustness across different conditions. By offering practical recommendations for the development of secure, ethical, and privacy-aware facial recognition systems, this research contributes valuable insights into the integration of AI in software security. It underscores the importance of continuous innovation and ethical responsibility in the deployment of facial recognition technologies, shaping the future landscape of technological security measures
Implementation of health education on perineal wound care for postpartum mother’s knowledge Fitri, Feni Elda; Yunitasari, Eva; Safitri, Rahayu
THE JOURNAL OF Mother and Child Health  Concerns Vol. 4 No. 8 (2025): November Edition
Publisher : Indonesian Public Health-Observer Information Forum (IPHORR) Kerjasama dengan Persatuan Perawat Nasional Indonesia (PPNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56922/mchc.v4i8.1768

Abstract

Background: A mother who has just given birth often experiences perineal tears due to episiotomy or spontaneous tears. Perineal wounds are tears that occur during childbirth, whether spontaneous or due to episiotomy. If proper care is not taken, it can lead to dangerous complications, such as infections in the bladder or birth canal. Purpose: to determine the implementation of health education on perineal wound care regarding the knowledge of postpartum mothers. Method: The knowledge level of both respondents before being given education was respondent 1 Ny.M (45%) and respondent 2 Ny.K (55%) which falls into the category of low knowledge level. After receiving education, the knowledge level of respondent 1 Ny.M (85%) and respondent 2 Ny.K (95%) results were categorized as good knowledge. Results: Education on perineal wound care show that there is an increase in mothers' knowledge levels after being provided with education. Conclusion: This education can enhance postpartum mothers' understanding of perineal wound care and can be beneficial for the development of maternity nursing knowledge.
Co-Authors Fitri, Feni Elda Samidi Samidi Widi Santoso Yunitasari, Eva