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All Journal Iqtishoduna: Jurnal Ekonomi Islam Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Ekasakti Jurnal Penelitian dan Pengabdian (EJPP) MUSHAF JOURNAL: Jurnal Ilmu Al Quran dan Hadis ProBisnis : Jurnal Manajemen CEMERLANG :Jurnal Manajemen dan Ekonomi Bisnis ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Journal of Community Dedication Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL) Proceedings of The International Conference on Business and Economics Jurnal Administrasi Negara JK Jurnal Kesehatan JIP: Jurnal Ilmu Pendidikan Indonesian Journal of Education (INJOE) Jurnal Ekonomi dan Bisnis Journal International Journal of Teaching and Learning (INJOTEL) Jurnal Komunikasi INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) Indonesia Journal of Engineering and Education Technology (IJEET) TARBIYATUL ILMU: Jurnal Kajian Pendidikan Journal of International Multidisciplinary Research The Journal of Artificial Intelligence and Development International Journal of Social and Education (INJOSEDU)
Loso Judijanto
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH

 1 
USE OF DRONES FOR DELIVERY OF MEDICINE AND BLOOD IN REMOTE AREAS Loso Judijanto; Syafril Barus; Arnes Yuli Vandika
ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Vol. 4 No. 2 (2024): APRIL
Publisher : CV. ADIBA ADISHA AMIRA

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Abstract

The use of drone technology for the delivery of medicines and blood in remote areas has emerged as an innovative solution to some of the logistical challenges in healthcare. The study aims to evaluate the effectiveness, viability, and impact of the use of drones in improving access to essential medicines and blood supplies in hard-to-reach locations. Research methods carried out through the study of literature. Research results show that drones can not only significantly reduce delivery times and ensure reliability in delivering medical aid, but also offer a cost-effective solution compared to traditional transport methods. The study underscores the importance of a multidisciplinary approach in addressing barriers to delivery of health services in remote areas and exploring the future of drones as a major tool in medical follow-up response and health logistics delivery.
BLOCKCHAIN FOR PATIENT DATA SECURITY: POTENTIAL AND CHALLENGES Loso Judijanto; Arnes Yuli Vandika; Lola Yustrisia
ZAHRA: JOURNAL OF HEALTH AND MEDICAL RESEARCH Vol. 4 No. 2 (2024): APRIL
Publisher : CV. ADIBA ADISHA AMIRA

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The use of blockchain applications in the health sector, in patient data security, promises significant progress in the management and protection of medical information. Database decentralization, which is at the heart of blockchain technology, presents itself as an innovative solution in reducing the risk of cyber attacks and system failures simultaneously, by dividing information into scattered networks. It increases patient information resilience to data loss and identity theft. Another advantage of blockchain is greater transparency and auditability. Any transactions or changes recorded cannot be changed again, ensuring consistent data integrity. This is crucial in a healthcare environment, where errors in patient information can have serious implications for patient care and health outcomes. In addition, the blockchain system allows the use of strong encryption and layered access controls, making patient data much safer from unauthorized access. However, despite the many advantages it offers, there are challenges to overcome in order for this technology to be implemented effectively. Challenges such as system scalability, complex regulatory compliance, and difficulty integrating with existing health information technology systems are major obstacles to blockchain implementation. Concerns about scalability emphasize increased processing time and operating costs as transaction volumes grow. Regulatory compliance often requires extra care and adaptation to strict local regulations relating to personal data and privacy.
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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Abstract

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 Abdul Muid Fabanyo Abdul Wahab Syakhrani abdur rohman Achmad Farchan Affandy Agusman Aris Agus Nursalim Ahmad Rizani Al-Amin Alfiana Alfiana Alfiana Amândio de Araújo Sarmento Amir Machmud, Amir Anggi Setya Prayoga Anggriani Husain Anjana Prusty Ansori Ariawan, Ariawan Arnes Yuli Vandika Asfahani Asfahani Asri Ady Bakri Awaluddin Awaluddin Ayi Abdurahman Baso Intang Sappaile, Baso Intang Bucky Wibawa Karya Guna Darmun Dedi Harianto Dewi Puspitasari Digvijay Pandey Dina Destari Edy Susanto Eka Suci Apriliyani Elly Siti Nurliyah Elmiwati Elmiwati Entin Solihah Era Purike Erwin Fahmi Sulaiman Farida Akbarina Farida Asy'ari Ferdy Leuhery Fionasari, Richa Frida Utami, Rhisty Fuadah Johari Gingga Prananda Gusma Afriani Hadenan Towpek Hadi Purnomo Hadi Subeno Hasdiana Hasdiana Herlina Lidiyawati Herwantono Iiz Izmuddin Ika Zakiah Ilham Samanlangi Irwan Moridu Ismaul Fitroh Iwan Kusnadi Iwan Setiawan Jackson Yumame Jasman Joni Bungai Karyono Khurshed Iqbal Klemens Mere Komalasari, Nur Aziza Kristiono, Natal Kristopo, Kristopo Lake, Floribertha Latif Karim Listiana Sri Mulatsih Lola Yustrisia Luckhy Natalia Anastasye Lotte M. Amin Fatulloh M. Anwar Aini M. Syarif M. Yusuf Bahtiar Mahelan Prabantarikso Mahidin Fahmie Melyana R Pugu Mesis Rawati Mirza A Malik Moch. Iqbal Zulfikar Pd Mohamad Khairi Bin Haji Othman Mohd Syahrin Mokhamad Eldon Muh Syamsul Arifin Muh. Abduh Anwar Muhammad Ade Kurnia Harahap Muhammad Azizi Muhammad Guruh Nuary Muhammad Hendra Muhammad Sukron Fauzi Muhammad Syafri Muhammad Syaiful Muhammadong Muhdi Late muriyanto muriyanto Mustopa Naf’an Torihoran Naheria Nana Citrawati Lestari Nely Salu Padang Nganta Ginting, Jimmy Nijma Ilma, Ajeng Faizah Ningrum, Dedah Nisa Miftachurohmah Nova Krisnawati Novianty Djafri Raden Ayu Trisnayoni Rafika Nisa Rahma Helal Al_ Jbour Rengga Yudha Santoso Rina Destiana Risqah Amaliah Kasman Riztya, Rinda Romadhon Rony Sandra Yofa Zebua Rosdiana Rossa Ramadhona Samar A. El-Farra Sastra Waskita, Gautama Septina Elida Setyawan, Antonius Ary Setyo Wibowo, Edy SILVIA EKASARI Siti Indah Sri Widiastuti Sukron Fauzi Syafril Barus Syamsul Muqorrobin Syarif Hidayatullah Syatria Adymas Pranajaya Tanwir Tanwir Teguh Wibowo Teti Anggita Safitri, Teti Anggita Triani Patra Pertiwi Ulin Naini Ummu Kulsum Upus Piatun Khodijah Wahab Wandi Nduru, Sastra Wewis Gilang Sari Yadi Suryadi Yolanda Effendy Zohaib Hassan Sain Zoni, Lapas Zulvia Trinova