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Adam Mudinillah
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INDONESIA
Journal of World Future Medicine, Health and Nursing
Published by Yayasan Adra Karima Hubbi
ISSN : 29880459     EISSN : 29887550     DOI : 10.70177/health
Core Subject :
Journal of World Future Medicine, Health and Nursing is a leading international journal focused on the global exchange of knowledge in medicine, health, and nursing, as well as advancing research and practice across health disciplines. The journal provides a forum for articles reporting on original research, systematic and scholarly reviews focused on health science, clinical practice and education from around the world. Journal of World Future Medicine, Health and Nursing publishes national and international research in an attempt to present a reliable and respectable information source for the researchers. Journal of World Future Medicine, Health and Nursing has been published since 2023, published three times a year January, May and September,. The articles submitted for publication are subjected to double-blind reviewing process. The journal publishes original articles in English.
Arjuna Subject : -
Articles 143 Documents
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Body Weight and Gender Differences in Nutritional Status of Toddler According to WHO and CDC References: A Study from Taud Al-Hanif Jombang Rini Hayu Lestari; Niken Grah Prihartanti
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i3.1188

Abstract

Efforts to reduce the prevalence of wasting and stunting are urgently needed. Research on differences in nutritional status and growth of toddlers based on gender and weight can provide important insights into how nutrition interventions and health policies can be tailored to meet the specific needs of these groups. Several studies have shown that boys and girls may have different nutritional needs and may experience different growth rates. In addition, each stage of toddler age also has unique growth characteristics and nutritional needs.This study used a comparative analytical design with a cross-sectional approach. This design was chosen to evaluate differences in nutritional status and growth of toddlers based on gender and weight at a certain time. The population in this study were all children aged 13-59 months at TAUD Al Hanif in 2023. The sample of this study was taken from the population using a stratified random sampling technique. Data collection was carried out using a digital scale instrument, staturemeter, and questionnaire form. The measurement results showed that there were significant differences between the nutritional status of toddlers based on weight and gender as evidenced by the value (p <0.05). Toddlers with normal weight tend to have better nutritional status, while toddlers who are underweight or overweight need special attention. Male toddlers are more likely to have good nutritional status than female toddlers, which may be due to differences in nutritional needs and socio-cultural factors. Appropriate nutritional interventions need to be carried out to ensure that all toddlers, both boys and girls, receive adequate nutrition for optimal growth and development.
Evaluation of the Implementation of Minimum Service Standards for Hypertension Program Febry Handiny; Dian Paramitha Asyari; Silvy Oktaviani; Milya Novera
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1209

Abstract

The prevalence of hypertension in Indonesia in the 2018 National Riskesdas was 34.11%. Minimum Service Standards for hypertension: Every patient with hypertension receives health services according to standards. Achievement of Hypertension at Andalas Public Health Center for the last two years is 30.21% in 2021 and 14% in 2022. This study aims to determine the process of implementing the Minimum Service Standards for the Hypertension program at the Andalas Public Health Center. This study is a Descriptive qualitative research method by conducting semi-structured interviews with ten informants. The research was conducted at Andalas Public Health Center from March to August. The data collected were the results of interviews using an interview guide, document review, and observation. Data analysis used source triangulation and method triangulation. The results were that the officers involved and hypertensive patients in implementing Minimum Service Standards Hypertension were by the standards. Facilities and infrastructure are sufficient, but adding blood pressure monitors and Communication, Information, and Education media in leaflets is still necessary. Existing health workers already know the process of implementing hypertension following standards.  The implementation has been going well, but there are still obstacles in the form of difficulty monitoring hypertensive patients in the Andalas Public Health Center working area and a lack of public awareness of routine treatment every month.
Incidence of Hypertension in Adolescents in the Working Areas of Paccerakkang Health Center and Sudiang Health Center in Makassar City Hasliani Hasliani
Journal of World Future Medicine, Health and Nursing Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v2i3.1264

Abstract

Hypertension generally occurs in the elderly, but several studies have shown that hypertension can appear as early as adolescence and its prevalence has increased over the past few decades. However, many have not realized that this is the cause of the appearance of hypertension in adulthood and the elderly. This study aims to determine the prevalence of hypertension in adolescents at the Sudiang Raya Health Center, Makassar City. The method used was observation with a Cross Sectional approach. The study sample was 147 adolescents using Two Stage Cluster Sampling. Data collection using questionnaires, measurement of weight, height and blood pressure. Data were analyzed univariately using frequency distribution tables. The results showed that there were 73 male respondents (49.7%) and 74 female respondents (50.3%). Most (77.6%) respondents had a moderate level of knowledge. The results of blood pressure measurements showed that 9 people (6.1%) were categorized as stage 2 hypertension, 18 people (12.2%) were categorized as stage 1 hypertension, 22 people (15.0%) were categorized as pre-hypertension and 98 people (66.7%) had normal blood pressure. Closing: The results showed that one third of respondents already had hypertension.
The Relationship Between Knowledge About Kangaroo Mother Care (Kmc) Among Mothers and Increased Weight of Low Birth Weight (Lbw) Babies in the Neonate Intensive Care Room of the Mayapada Hospital Jakarta Selatan Nuke Tri Indriani; Arozamati W Lase; Rome Tao Toba Muara Ria; Sicily Prima Yanuaria Buka; Herlina Meilina
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1862

Abstract

One of the main causes of infant mortality is low birth weight babies. Low birth weight babies are high risk babies and are susceptible to various problems such as the risk of respiratory infections, low blood sugar levels (hypoglycemia), eating disorders, too many red blood cells and the risk of experiencing hypothermia. In general, babies with low birth weight must be treated with an incubator or using the KMC method so that their body temperature is maintained. This study aims to determine the relationship between knowledge of the Kangaroo Mother Care (KMC) method among mothers and the increase in Low Birth Weight (LBW) Babies in the NICU Room at Mayapada Hospital, South Jakarta. This research is quantitative using a correlative analytical descriptive design with a cross sectional approach. Shows that there is a significant relationship between knowledge about the Kangaroo Mother Care (KMC) Method in mothers and the increase in Low Birth Weight (LBW) in the NICU room at Mayapada Hospital, South Jakarta.
The Abbasid Era and the Dynamics of Medical Science Moch. Said; Ajeng Dwi Fatmawati; Muhammad Amiruddin
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i5.1894

Abstract

The peak of the glory of Islam can be seen from the progress of the Abbasid Dynasty during the leadership of Harun Ar-Rasyid. Because of the rapid progress in all fields, this era was nicknamed as The Golden Age (Golden Age). This progress is seen in various fields ranging from education, economy and infrastructure, making the Abbasid Dynasty highly respected by other nations. Progress is also seen in the field of health and the development of medical science. The Abbasid Dynasty government focused on developing science so that Muslim scientists and Muslim doctors emerged whose knowledge influenced the world of medicine in the world. Starting from Ibn Sina and Ar-Razi who are very famous as the fathers of modern medicine. The purpose of writing this article is to find out the development and progress of the Abbasid Dynasty in the field of medicine and health. The process of making this article uses the (Library Research) method by collecting a number of books, magazines, journals and relevant sources as well as in-depth analysis. Medical science developed rapidly in the Abbasid era where medical figures and techniques emerged that were very influential for the development of medical science and technology today. Ibn Sina became a pioneer in the advancement of health and medical science, he also wrote a book At-Tibb Law which is a reference for medical science throughout the world.
The Future of Medical Technology: Recent Innovations in Artificial Intelligence and Robotics for More Precise and Efficient Treatment Rina Farah; Zain Nizam
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i3.1896

Abstract

The rapid advancement of artificial intelligence (AI) and robotics has transformed the landscape of medical technology, offering unprecedented precision, efficiency, and personalization in patient care. The integration of AI-driven diagnostics and robotic-assisted surgery has improved clinical decision-making, minimized human errors, and enhanced surgical outcomes. This study aims to explore recent innovations in AI and robotics in the medical field, assess their effectiveness in improving treatment precision, and identify challenges in their widespread adoption. A systematic review methodology was employed, analyzing recent peer-reviewed articles, case studies, and reports from medical institutions and technology developers. The findings indicate that AI-powered diagnostic tools significantly enhance early disease detection, while robotic surgery enables minimally invasive procedures with improved accuracy and reduced recovery times. However, challenges such as ethical concerns, high implementation costs, and regulatory hurdles remain key barriers to full-scale adoption. This study concludes that AI and robotics will play an increasingly vital role in modern medicine, revolutionizing healthcare delivery. Further research should focus on optimizing AI algorithms, addressing ethical considerations, and developing cost-effective solutions to ensure broader accessibility and acceptance in medical practice.
Telemedicine in the Digital Era: Changing the Face of Health Services with Virtual Technology Sulasmi Anggo; Wahyudin Rahman; Som Chai; Chai Pao
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1897

Abstract

The rapid advancement of digital technology has transformed healthcare delivery, with telemedicine emerging as a vital tool for improving accessibility, efficiency, and patient-centered care. The COVID-19 pandemic accelerated the adoption of telemedicine, highlighting its role in bridging geographical barriers and optimizing medical consultations through virtual platforms. Despite its benefits, challenges such as regulatory issues, technological disparities, and concerns about patient data security remain significant obstacles to its widespread implementation. This study aims to examine the impact of telemedicine on modern healthcare services, evaluate its effectiveness in improving patient outcomes, and identify barriers to adoption. A systematic review approach was used, analyzing peer-reviewed studies, clinical reports, and policy papers published between 2018 and 2024. The findings indicate that telemedicine enhances healthcare accessibility, reduces consultation wait times, and lowers healthcare costs, particularly in remote and underserved areas. However, limitations such as uneven internet infrastructure, resistance from healthcare providers, and variations in legal frameworks hinder its optimal utilization. This study concludes that telemedicine represents the future of digital healthcare, requiring further technological advancements, regulatory standardization, and healthcare professional training to maximize its potential. Future research should explore AI-integrated telemedicine models and their role in improving diagnosis and treatment personalization.
Nano-Medicine Integration: Impact of Recent Breakthroughs in Genetic-Based Diagnosis and Therapyano-Medicine Integration: Impact of Recent Breakthroughs in Genetic-Based Diagnosis and Therapy Livia Alves; Felipe Souza; Muntasir Muntasir; Netty Maria Naibaho
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1898

Abstract

The integration of nanotechnology into medicine has revolutionized genetic-based diagnostics and therapeutic interventions, offering unprecedented precision in disease detection and treatment. Advances in nano-medicine have enabled early-stage disease identification, targeted drug delivery, and personalized medical treatments, particularly in oncology, neurology, and rare genetic disorders. Despite these advancements, challenges such as biocompatibility, scalability, and regulatory approval remain significant barriers to widespread clinical implementation. This study aims to analyze the impact of nano-medicine on genetic-based diagnosis and therapy, assess its effectiveness in enhancing patient outcomes, and identify the obstacles limiting its adoption. A systematic review methodology was employed, analyzing peer-reviewed articles, clinical trial reports, and experimental studies from 2018 to 2024. The findings indicate that nano-medicine significantly improves genetic disease detection accuracy, enhances drug bioavailability, and minimizes adverse side effects through precision-targeted therapies. However, issues such as high development costs, ethical concerns, and long regulatory processes impede rapid integration into mainstream healthcare. This study concludes that nano-medicine represents a paradigm shift in genetic-based medical interventions, requiring further research in bioengineering optimization, regulatory framework standardization, and cost-effective production. Future studies should explore AI-driven nanotechnology applications and their role in improving real-time genetic diagnostics and personalized therapies.
Global Prevention of Future Disease Threats: The Role of Technological Solutions in Epidemiology Khalil Zaman; Jamil Khan
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 3 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i3.1901

Abstract

The global landscape of infectious diseases continues to evolve, posing new challenges for public health systems worldwide. With the rise of emerging and re-emerging diseases, it becomes imperative to leverage technological solutions in epidemiology to prevent future health crises. This study investigates the role of advanced technologies such as artificial intelligence (AI), big data analytics, machine learning, and digital health tools in shaping effective disease prevention strategies. The objective is to evaluate the potential of these innovations in forecasting, monitoring, and managing public health threats. Using a systematic review methodology, data were collected from 100 peer-reviewed articles and reports on the application of technological tools in epidemiology. The findings reveal that technological advancements have significantly enhanced the accuracy of disease predictions, real-time monitoring, and rapid response capabilities. Furthermore, AI-driven surveillance systems and big data analytics have proven essential in identifying disease patterns and facilitating early interventions. The study concludes that the integration of technology into epidemiological practices is crucial for proactive global health management. Technological solutions, when effectively implemented, offer scalable and sustainable approaches to preventing future global disease threats.
Get to Know Artificial Intelligence in Epidemiology: Predicting and Controlling Communicable and Non Communicable Diseases Sofia Lim; Jaden Tan; Anggra Trisna Ajani
Journal of World Future Medicine, Health and Nursing Vol. 3 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v3i1.1902

Abstract

The increasing burden of both communicable and non-communicable diseases (NCDs) presents significant challenges for public health worldwide. The application of artificial intelligence (AI) in epidemiology has emerged as a promising tool for predicting, monitoring, and controlling the spread of these diseases. This study aims to explore the role of AI in enhancing epidemiological practices and improving public health outcomes. The research employs a systematic review methodology, analyzing 60 peer-reviewed articles on the integration of AI technologies in disease prediction and control. The findings indicate that AI, particularly machine learning (ML) algorithms, has demonstrated remarkable success in predicting disease outbreaks, identifying high-risk populations, and optimizing resource allocation. AI-driven tools have been effectively utilized in both communicable diseases, such as influenza and COVID-19, and NCDs, including diabetes and cardiovascular diseases. The study concludes that AI holds substantial potential for transforming epidemiological practices, offering more accurate forecasts and efficient interventions. However, challenges such as data privacy concerns and resource limitations in low-income settings need to be addressed. The research highlights the need for continued investment in AI technologies to strengthen global disease prevention and control efforts.

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