Concern for the environment causes an increase in consumer demand for environmentally friendly products. The purpose of this study was to look at the relationship between knowledge about green products, social impact and perception value with green buying behavior. This research is a quantitative and observational type research with cross sectional approach conducted on junior high school students in Jakarta. The results show that there is a relationship between knowledge about the product and green buying behavior, namely p (0.02) <0.05 while the knowledge of purchasing and using does not have a relationship with the green buying behavior. The indicator of family influence also shows a relationship with green buying behavior, namely p (0.04) <0.05 while the influence of friends and social status does not have a relationship with green buying behavior. And the indicator of functional value and self-experimentation have a relationship with green buying behavior while emotional values are not seen to have a relationship with green buying behavior. Therefore, from this research can be done approaches to indicators that have a relationship to invite someone in green buying behavior.

Waste is one of existing environmental problems have never end. One of the causes was a lack of environmental awareness because lack of education from early age. This study aimed to build Sorting Waste Game Android Based as an education media, study used technology in environmental education. Sorting Waste Game teach early childhood to understand many kinds of waste (organic and an organic) and adjusted waste based on garbage box on environmental. This game application used Android Platform which build using Unity 3D game engine. This study used Research and Development (RnD) method with Waterfall Development Model which consist of 4 steps, are analysis, design, implementation and testing. Testing method used is black box testing to test functional interface application systems thoroughly. Data collection is done using the survey that has been tested its feasibility by experts using Likert scale. Based on testing black box that has been carried out got that all indicator which is with such questions at each item was declared good with the percentage 100 %. This means that Sorting Waste Game is user friendly and can be used and runs smoothly on a platform android as a medium of technology on learning of environmental education.

One of the efforts to improve the quality of urban environment is smart environment concept that has become one of six of smart city indicators such as smart government, smart economy, smart people, smart mobility, and smart living. Smart environment means an environment that provides comfort, resources, physical and nonphysical beauty, and visual for the people, also students in their schools. This research aimed to apply the concept of smart trash bin in schools. This smart trash bin that detects rubbish based on rubbish group (plastic and metal). In addition, the smart trash bin has a function as education for the students as well. It has explanation about knowledge and how to use the trash bin so the students have awareness to keep environment clean and beauty. The research used Research and Development method from Borg and Gall model. The target of this research was the students in elementary school. The final result of this smart trash bin was a feasibility test product. There will be a test for the students using questionnaire. So that this smart trash bin is effective to improve the knowledge of students about rubbish.

High economic growth in the city was not balanced with adequate infrastructure provision. Northern Jakarta has been a tangible example of how the development of the city had ignored the environmental conditions, this region has been developed into a very dense and slums areas, and compounded with a huge problem of the exceeding of environment carrying capacity. A massive development of coastal reclamation at north of Jakarta could be used as a model of development based on ecological approach. This study is aiming to examine the concept of sustainable urban infrastructure at coastal reclamation of North Jakarta, which is an approach that integrates urban development components namely city community capital, the city infrastructure needs and ecological city components. To analyze the relationship between these components, this research was carried out by Structural Equation Model (SEM) which is multivariate analysis that analyzes the relationship between complex and simultaneous variables. The application of sustainable urban infrastructure model was done by Goodness of Fit Index (GOFI) value indicators to see how the data support the model on on total of 147 survey respondents. The indicators for each of these six models showed a good fit to ecological city theory, with chi-square of 3.60, df of 4 p-value of 0.45306, and root mean square error of approximation (RMSEA) below 0.08. Latent variable Confirmatory Factor Analysis (CFA) test showed very good match, model is saturated/perfect fit. Therefore, it can be stated that the data strongly support a model for the latent variables. This model of sustainable urban infrastructure in coastal reclamation can be applied to overcome the problems of urban sustainable development

Coastal flooding is a natural disaster that often occurs in coastal areas. Jakarta is an example of a location that is highly vulnerable to coastal flooding. Coastal flooding can result in economic and human life losses. Thus, there is a need for a coastal flooding early warning system in vulnerable locations to reduce the threat to the community and strengthen its resilience to coastal flooding disasters. This study aimed to measure the level of public acceptance toward the development of a coastal flooding early warning system of people who live in a coastal region in Jakarta. This knowledge is essential to ensure that the early warning system can be implemented successfully. A survey was conducted by distributing questionnaires to people in the coastal areas of Jakarta. The questionnaire results were analyzed using cross-tabulation and path analysis based on the variables of knowledge, perceptions, and community attitudes towards the development of a coastal flooding early warning system. The survey result shows that the level of public acceptance is excellent, as proven by the average score of the respondents’ attitude by 4.15 in agreeing with the establishment of an early warning system to manage coastal flooding. Thus, path analysis shows that knowledge and perception have a weak relationship with community attitudes when responding to the coastal flooding early warning model. The results show that only 23% of the community’s responses toward the coastal flooding early warning model can be explained by the community’s knowledge and perceptions. This research is expected to be useful in implementing a coastal flooding early warning system by considering the level of public acceptance.

The purpose of this study was to determine the importance of implementing disaster mitigation education in schools during the new normal era of coronavirus disease 2019 (COVID-19). The method in this research used descriptive research design using a survey study approach. The research instrument used was a knowledge test with the number of questions as many as 15 items. The sample used was senior high school students who were randomly selected. The level of good and lack of knowledge is determined based on the average total score. A good level of knowledge has a condition> 111.76, while a level of knowledge that lacks a condition <111.76. The results of this study are that the majority of respondents have a total score that is less with a mean score of 101.94, while respondents who have a good number of scores have an average score of 127. Overall respondents have an average of 111.76. Then conducted an Independent Sample t-test with the result that there are differences in the number of good disaster mitigation knowledge scores on respondents with the number of disaster mitigation knowledge scores that are less on respondents with a p-value of 0,000 with a degree of freedom is 95%. The implementation of disaster education in the new normal era is important to continue to prevent transmission of COVID-19. The conclusion of this study is the score of students' knowledge about disaster needs to be improved in the new normal era. Keywords: Disaster Mitigation Education, Disaster Mitigation Knowledge, COVID-19