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Mengenal Human Metha Pneumo Virus (HMPV) yang merebak di beberapa Negara Kadriyan, Hamsu
Lombok Medical Journal Vol. 4 No. 2 (2025): Lombok Medical Journal Volume 4 Nomor 2
Publisher : Faculty of Medicine, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/lmj.v4i2.6838

Abstract

Abstract Human Meta Pneumo Virus (HMPV) is a single strain virus identifies as a cause of upper airway infection. Recently, several new cases reported in some countries, including Indonesia. After the virus infected the epithelial cell, it will replicated exponentially and spreading to adjacent cells. As a result, it will break the tissue and lead to inflammation. In patient with immunocompromised, HMPV infection will continued to pneumonia and other serious complication. Therefore, it is necessary to inform this virus characteristics to the health care professionals to allow them can tackle the disease accurately. Finally, it could limiting the potency of the occurrence of epidemic in population.
The Design of Convolutional Neural Networks Model for Classification of Ear Diseases on Android Mobile Devices Suta Wijaya, I Gede Pasek; Mulyana, Heru; Kadriyan, Hamsu; Fa'rifah, Riska Yanu
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.1.1591

Abstract

An otorhinolaryngologist (ORL) or general practitioner diagnoses ear disease based on ear image information. However, general practitioners refer patients to ORL for chronic ear disease because the image of ear disease has high complexity, variety, and little difference between diseases. An artificial intelligence-based approach is needed to make it easier for doctors to diagnose ear diseases based on ear image information, such as the Convolutional Neural Network (CNN). This paper describes how CNN was designed to generate CNN models used to classify ear diseases. The model was developed using an ear image dataset from the practice of an ORL at the University of Mataram Teaching Hospital. This work aims to find the best CNN model for classifying ear diseases applicable to android mobile devices. Furthermore, the best CNN model is deployed for an Android-based application integrated with the Endoscope Ear Cleaning Tool Kit for registering patient ear images. The experimental results show 83% accuracy, 86% precision, 86% recall, and 4ms inference time. The application produces a System Usability Scale of 76.88% for testing, which shows it is easy to use. This achievement shows that the model can be developed and integrated into an ENT expert system. In the future, the ENT expert system can be operated by workers in community health centres/clinics to assist leading health them in diagnosing ENT diseases early.
Pembekalan Materi Kesehatan Mental Bagi Calon Guru SD di FKIP Universitas Mataram Kadriyan, Hamsu; Gunawan, Gunawan; Astini, Baik Nilawati; Suranti, Ni Made Yeni; Ibrahim, Ibrahim
Indonesian Journal of Education and Community Services Vol. 5 No. 2 (2025): Edisi Juli-Desember 2025
Publisher : Indonesian Publication Center

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Abstract

Mental health is a fundamental aspect that prospective teachers must possess to carry out their professional roles effectively. Prospective teachers face various demands that begin in their university years and continue into their future careers as educators. This community service program aims to provide mental health training for elementary teacher candidates at the Faculty of Teacher Training and Education, University of Mataram. The training was conducted in three sessions covering topics such as mental health awareness for teacher candidates, challenges and risks related to teachers’ mental health, creating a safe and supportive classroom environment, self-care for prospective teachers, as well as stress management and resilience. A total of 180 students from semesters 1, 3, and 5 participated in this activity. The implementation methods included material delivery, interactive discussions, video-based learning, and guided reflection. The results indicate that participants gained a better understanding of mental health issues and developed basic skills in managing stress and building resilience. This program is expected to serve as an initial step in fostering mental health awareness and readiness among prospective teachers.
Workshop Perancangan Kurikulum Pendidikan Kesehatan Mental Bagi Calon Guru di Indonesia Kadriyan, Hamsu; Gunawan, Gunawan; Puspitasari, Dian; Warnaini, Cut; Suranti, Ni Made Yeni; Astini, Baik Nilawati
Indonesian Journal of Education and Community Services Vol. 4 No. 2 (2024): Edisi Juli-Desember 2024
Publisher : Indonesian Publication Center

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Abstract

Mental health is a crucial aspect of education, particularly for prospective teachers who will play a significant role in shaping students' character and well-being. This community service activity aimed to enhance the capacity of prospective teachers in understanding and managing mental health through a Curriculum Design Workshop on Mental Health. The workshop involved 25 participants, comprising mental health researchers, curriculum experts, experts in mental health and clinical psychology, experts in guidance and counseling and psychology, as well as lecturers supervising mental health-related educational courses. The outcomes of this workshop included the development of a survey instrument for assessing the mental health profiles of prospective teachers, along with documents and other instruments to support the design of a comprehensive and applicable mental health curriculum. This activity is expected to contribute to the improvement of the quality of education and mental well-being in the school environment.