Global warming affects climate change and has an overall impact on all aspects of life. On the other hand, community behavior and disaster aspects also have an important role in people's lives. This will also have an impact on regional development. This study aims to find the effect of climate, disaster, and social community on rural development. This study uses data on the potential of rural development from PODES 2014, and 2018 data collection on climate conditions and regional status is sourced from relevant ministries. This research uses Ordinary Least Square (OLS) Regression Analysis method, then continued with CHAID analysis to find the segmentation of the role of climate, disaster, and social factors on rural development. The results of this study found that all research regressor variables significantly influence the Rural Development Index (IPD2018), with an R-squared value of 32.9 percent. Efforts need to be taken in order to implement policies that are targeted, effective, and efficient. The results of this study can be a reference for the government in determining policies by focusing on rural development that have high duration of sunshine, cultivating natural disaster warnings, especially in areas prone to natural disasters, and need to focus on underdeveloped areas.

Located in the Southeast Asia region, Indonesia has rainy and dry seasons. In the rainy and dry seasons that occur in Indonesia, often causes many problems in various business sectors and community activities, including floods and droughts. It is known that the disaster will have an impact on material and non-material losses. This study uses climate data and disaster data at the village level to determine the effect of rainfall on disasters. This study uses the instrumental variable method because the model has endogeneity problems. The study results concluded that increased rainfall had a positive impact on flood disasters with a coefficient of 0.003038. Simultaneously, rainfall also impacted drought with a coefficient of -0.000377.  Variables in the regression model that are formed can explain 1.74 percent of the flood disaster and 0.59 percent of the drought disaster. These results indicate that most of the other variables can influence flooding and drought. Through this research, it is known that rainfall for floods and droughts is quite significant. Therefore, government and community efforts are needed to anticipate similar disasters.

High prevalence of obesity increased burden from noncommunicable diseases. Our study aimed to estimate the number of death and years of life lost (YLL) diseases related to obesity. The Obesity attributable fraction (OAF) was used to estimate the proportion of each comorbidity attributable to obesity. The number of deaths attributable to obesity was estimated by multiplying the number of patients in each disease category and the OAF. The YLL was calculated by the number of years remaining life and the number of deaths due to overweight and obesity. The mortality attributable to overweight and obesity was estimated at 2,264,593 and 1,414,670 respectively, with the proportions of woman death were 60% and 72% of total death due to overweight and obese respectively. The YLL attributable to overweight and obesity was estimated at 67 million and 42 million person-years respectively. Diabetes mellitus and ischemic heart disease were two highest burdens both in the number of death and YLL. Obesity imposes a substantial health burden on Indonesian society especially in term of health burden. In view of a magnitude of the impact of obesity, there is a need for both further research and action at the level of health policy.

Along with the development of engine technology to be able to produce maximum efficiency in aircraft jet engines, various modifications were made to the machine tools. Modifications are made by taking into account four main factors, namely: maximum power output, reduced engine weight, low fuel consumption and maximum aircraft payload. This research uses a meta-analysis method, namely the analysis of several research results in line with what has been done previously regarding the efficiency of aircraft jet engines. The thermodynamic concept related to the heat engine which implements the brayton cycle that maximum efficiency can be done by reducing wasted heat energy and maximizing the work produced. From this concept, several attempts to maximize aircraft efficiency, such as modification of design that have a significant impact on weight reduction, fuel barrier design with low fan pressure, high bypass design ratio are also carried out in an effort to reduce aircraft noise levels. Aircraft noise levels can also be minimized by modifying the nozzle and ejector on the engine.

Background: Indonesia's territory consists of a large number of islands stretching from Sabang to Merauke. This condition causes different levels of development between regions. The eastern region of Indonesia is relatively slow when compared to the western region. This has resulted in the eastern region being in pristine condition and filled with forests. The climate in eastern Indonesia tends to be humid, resulting in high development of the female Anopheles mosquito, the cause of malaria.Methods: The use of the instrumental variable method is necessary, because the model has endogeneity problems. The data used in this study comes from the results of the 2018 Podes data and climate data.Results: The results of this study indicate that rainfall affects the number of malaria incidents and has a positive impact on mortality due to malaria, with coefficients of 0.0000779 and 0.0000142, respectively.Conclusions: Education is needed for the community to minimize malaria, which often occurs, generally in the Papua region. Through health promotion, it is hoped that the community will be able to live cleanly and healthily, as well as change their behavior in life, considering that the area is vulnerable to malaria.