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All Journal ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH JK Jurnal Kesehatan
Entin Solihah
Unknown Affiliation
Dentistry Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Public Health Veterinary

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TANTANGAN DAN SOLUSI DALAM PENDIDIKAN KESEHATAN MENTAL DI SEKOLAH Rizka Adela Fatsena; Entin Solihah
Jurnal Kesehatan Vol. 2 No. 8 (2024): Agustus
Publisher : CV. ADIBA AISHA AMIRA

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Abstract

Mental health education in schools is becoming increasingly important due to the growing awareness of the impact of mental health on students' well-being and academic achievement. However, its implementation faces various challenges. The research method in this review uses literature. The results showed that to face these challenges, a holistic approach is important in addressing mental health challenges in schools. This means involving various parties (school, family, health professionals) and integrating mental health into various aspects of school life. Therefore, this study suggests the implementation of a multi-dimensional strategy, which means combining various solutions to create a comprehensive approach in improving the effectiveness of mental health education in schools.
STRATEGIES TO TACKLE DRUG ABUSE AMONG STUDENTS Ika Zakiah; Entin Solihah; Cut Suraiya Wahyuni Utami
Jurnal Kesehatan Vol. 2 No. 9 (2024): September
Publisher : CV. ADIBA AISHA AMIRA

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Drug abuse among students is a serious problem that requires attention and action from various parties. The method used is a literature study The results showed that effective strategies include: (1) education and socialization of the dangers of drugs in schools, (2) strengthening the role of families in supervision and guidance, (3) improving law enforcement, (4) developing appropriate rehabilitation programs for students, and (5) utilizing technology for early detection and education. In conclusion, a multi-dimensional approach and cooperation between various parties are needed to address this problem. Consistent and sustainable implementation of these strategies is expected to significantly reduce the level of drug abuse among students.
BALANCED NUTRITION PROGRAM: IMPROVING THE QUALITY OF LIFE OF PEOPLE THROUGH A HOLISTIC NUTRITION POLICY Loso Judijanto; Rosdiana; Entin Solihah
ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Vol. 4 No. 2 (2024): APRIL
Publisher : CV. ADIBA ADISHA AMIRA

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Nutritional balance plays an important role in supporting public health and economic development. Previous studies have shown an association between good nutrition and improved cognitive performance and work productivity, as well as reduced prevalence of non-communicable diseases. The research method used in this study was literature review. The results show that increasing access to nutritious food has a significant impact on reducing the rates of chronic diseases such as diabetes and hypertension. Furthermore, school-integrated nutrition programs have been shown to improve children's attendance and academic performance. From an economic perspective, improved nutritional status is directly related to increased labor productivity.
BIG DATA ANALYSIS FOR DISEASE PREDICTION AND PREVENTION Loso Judijanto; Lola Yustrisia; Entin Solihah
ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Vol. 4 No. 3 (2024): JULI
Publisher : CV. ADIBA ADISHA AMIRA

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Big Data analytics in the context of disease prediction and prevention stands out as a critical issue in today's digital age, given its unique capacity to process and analyze massive volumes of health data with unprecedented speed and precision. Through the collection of extensive data from various sources, including electronic medical records, wearable devices, and other digital inputs, Big Data analysis enables researchers and healthcare practitioners to identify patterns and trends before diseases develop, forecast outbreaks, and respond proactively to potential health crises. Its ability to integrate and map health data at scale opens up opportunities for smarter prevention and personalized approaches to disease management, significantly shifting the landscape of disease prevention from reactive to proactive, which in turn could save millions of lives and reduce the economic burden on the global health system. The study in this research uses the literature research method. The results show that the use of Big Data and machine learning has great potential in strengthening health systems through disease prediction and prevention. Key findings show that the integration of extensive health data enables more effective identification of disease patterns and trends. With these technologies in place, the ability to diagnose and forecast diseases becomes faster and more accurate, which in turn, can help in designing appropriate and evidence-based interventions. In addition, improved machine learning methods continue to push the boundaries of predictiveness, providing new insights into proactive disease management and prevention.
Co-Authors Ika Zakiah Lola Yustrisia Loso Judijanto Rizka Adela Fatsena Rosdiana Utami, Cut Suraiya Wahyuni