Abstract:The Family Planning program has long been known as an important intervention in efforts to reduce maternal and child mortality rates. This research aims to analyze the effectiveness of the Family Planning Program in reducing…
cing maternal and child mortality rates using the Systematic Literature Review (SLR) method. This research uses the SLR method by collecting and analyzing literature from various academic databases. Inclusion criteria included studies evaluating the impact of Family Planning programs on maternal and child mortality rates, published between 2019 and 2024. The literature selection process was carried out in two stages: initial screening and quality assessment using PRISMA guidelines. A total of 15 studies met the inclusion criteria and were analyzed in this study. The findings show that the Family Planning Program is effective in reducing maternal mortality through increasing access to reproductive health services, health education, and use of contraception. Apart from that, the Family Planning program is also effective in reducing child mortality by improving maternal health and preventing unwanted pregnancies. Challenges identified include limited access to health services in remote areas, cultural barriers, and lack of policy support. Family Planning programs have proven effective in reducing maternal and child mortality rates. To increase its effectiveness, it is necessary to increase accessibility, service quality, and adequate policy support. It is hoped that these recommendations will help in improving the implementation of Family Planning programs and maternal and child health policies in the future.
Abstract:The Paguyaman watershed in Gorontalo is crucial for life, but it faces land degradation and erosion. This study evaluates land conditions using satellite imagery and spatial data. Results indicate that 58.73% of the area…
is in moderate condition, while 27.4% is in poor or very poor condition. Recommendations include reforestation with local species and integrated farming systems to improve soil fertility. Regular monitoring using remote sensing technology is proposed for the early detection of vegetation changes. Collaboration between the government, community, and researchers is essential to achieving sustainable watershed management.
Abstract:This research aims to identify flood-prone areas in West Sumatra Province using remote sensing data and Machine Learning-based Geographic Information System. By utilizing variables such as distance from the river, Normalized…
ized Difference Water Index (NDWI), elevation, Topographic Position Index (TPI), Normalized Difference Vegetation Index (NDVI), and Rainfall Data, this research was conducted on the Google Earth Engine platform. This analysis method supports resource optimization, public education, increased environmental safety, and the development of new technologies and research. The results of the research are expected to assist in mitigation and adaptation to future flood disasters, as well as provide more accurate and comprehensive insights for local governments, disaster management agencies, and communities. With this approach, it is expected to reduce flood risk and increase community resilience to natural disasters.
Abstract:The rapid advancement of digital technologies has fundamentally restructured the nature of work and transformed the roles, practices, and strategies of Human Resource Management (HRM). This article presents a systematic…
review of HRM challenges and opportunities within digital workplace environments, drawing on peer-reviewed literature published between 2015 and 2024. Five core dimensions of digital HRM transformation are examined: technology-based talent acquisition, remote and hybrid workforce management, continuous digital competency development, people analytics and data-driven decision-making, and the ethics of algorithmic management. The findings reveal that while digitalization enhances HR efficiency and organizational agility, it simultaneously introduces complex challenges related to employee well-being, digital equity, and data privacy. This article further proposes the Digital HRM Maturity Model as a conceptual framework offering organizations a structured pathway toward sustainable, human-centered digital transformation. Managerial implications and future research directions are discussed accordingly.