The use of the Maternal and Child Health (MCH) handbook requires family support, but the utilization of the MCH Handbook by the family is still low. The objectives of this research are to know the extent MCH Handbook used by the family and the factors related to it. This is an explanatory research with a cross-sectional design. The study sample is the total population in Kemawi Village, which is 60 families who have pregnant woman or baby or toddler. The results of rank-spearman correlation showed that there is a strong and positive relation between knowledge with the use of MCH Handbook (rs = 0.571, p = 0.0001) and between attitude and the use of MCH Handbook (rs = 0.468, p = 0.0001). Multivariate analysis with binary logistic regression showed that the knowledge (OR =4.9) and attitude (OR=11.9) variables had a significant influence  together on the use of the MCH handbook with probability is 74.3% . It is suggested to village midwives to increase counseling to the community about MCH Handbook related to mother’s health in the postpartum period, especially regarding family attitudes towards the MCH Handbook.

COVID-19 caused by SARS-CoV-2 is being global pandemic which the number of positive confirmed cases and deaths increase massively and rapidly. Big data is a technology can be used for analysing the trend pattern of coronavirus and prevent the spreading of it. Few countries already use big data as a strategy in managing the ongoing of COVID-19 pandemic. This research uses descriptive analytical research to describe the findings of previous research information with a simplified approach. The aim of this research is knowing how big data used for managing the outbreak of COVID-19 by detecting cases, predicting cases and tracking contact through the use of various data characteristics in some countries around the world. Several countries that have used big data to help manage COVID-19 pandemic are Taiwan, China, Korea, Australia. Taiwan uses credit card and geographic route for tracking the routes of tourists, China uses Baidu Maps Traffic Flow as local maps for knowing distribution of aircraft passenger who have potential high risk to get infected by COVID-19, Korea uses insurance data from Korean National Health Insurance Service for knowing the community with hypertension history who have protentional high risk to get infected by COVID-19 and Australia uses application COVIDSafe for handling the spreading by detecting ambient contact. The ongoing of COVID-19 pandemic in the world has caused the big data technology to be considered to be applied in a country so it hopes can reduce the negative impacts caused in several fields.

Introduction:Coastal area cities Jakarta and Semarang in Indonesia portray higher hazard that links to an annual sinking rate of up to 20cm. Four main factors have been determined to contribute: groundwater extraction, sea-level rise (SLR), land subsidence, and coastal floods. It accounts for people living in those high-risk regions to prevent the exacerbating situation.Method:This study’s main objective is to generate risk mapping in Jakarta and Semarang using Geographic Information System (GIS) from three open-source websites: Surging Seas, OpenStreetMap (OSM), and Healthsites.io. Through GIS analysis, prediction can be analyzed more accurately with precision when the sinking hits slowly to identify the risks involved.Results:Satellite data geographical analysis risk mapping done via Surging Seas, OpenStreetMap (OSM), and Healthsites.io showed that by 2050, North, West, part of Central Jakarta and Semarang will sink 5.6 meters below sea level with an annual sinking rate up to 20cm. Critical infrastructure will be affected in Jakarta, including Soekarno-Hatta International Airport and Tanjung Priok Port. Similarly, in Semarang, the Jenderal Ahmad Yani International Airport, Tanjung Mas Port, and Terboyo Bus Station are affected as well. Consequently, it will situate 13 million at both coastal cities as the worst impacted, categorized by the World Bank data, updated Sept 2022 as Urban Poverty, the population living at 2.15 US Dollar a day poverty line. Those living below the poverty line are also deprived of education and access to infrastructure, mainly electricity, water and sanitation hygiene indicators measured by the World Bank 2021 and 2022, Multidimensional Poverty Measure.Conclusion:As a conclusion, GIS mapping of Jakarta and Semarang by 2050 using Surging Seas, OpenStreetMap, and Healthsites.io showed a high risk of sinking, especially in the northern areas of both cities, with the mapping done as of April 2022.

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