Green Industry Standards, as a regulation to achieve sustainable industrial development, currently still have little interest in its application in Indonesia, especially through certification. There are only 27 industries that have implemented Green Industry certification from a total of 33,923 industries in Indonesia until 2019. Based on this data, it is necessary to evaluate the application of current Green Industry certification regulations. The findings of this study are expected to be used as one of the information sources for government strategic consideration to increase industrial interest on Green Industry certification implementation. This study is done by analyzing the factors that drive and hinder industrial interest in implementing Green Industry certification. The method used in this study is a quantitative method conducted by a survey of 27 certified industries and 20 uncertified industries using a questionnaire with a Linkert scale and then processed statistically. The results of the research show that the driving factors of industry's interest in implementing Green Industry certification up to 100% was to improve company image, whereas 94.5% of factor inhibiting interest in certification stated by respondents was the currently limited Green Industry Standards that are only available to a certain scope of certain commodities.

Ammonia is a raw material of fertilizer, refrigerant, and other commercial cleaning products which commonly stored in a large capacity. The higher storage capacity, the higher risk possibly occurs impacted to the population and environment. The study aims to provide a modeling of ammonia release scenarios, escape from the storage facility, Urea Fertilizer Industry X, located in Indonesia. This model is utilizing Area Location Hazardous Atmosphere (ALOHA) software to forecast the threat zone of ammonia release scenario and QGIS to overlay and spatial analysis. The result shows that the incident causes a significant impact on the area of 41.7 km2 and potentially threatens a massive scale of the inhabitant with higher evacuation factor (Ef), lower affected population (Ap). The risk determined by estimated probability and consequence considered as high risk, therefore, besides the main aim of establishing an emergency response plan, this study could also be used as a reference in risk evaluation of chemical release.

The relationship between humans and nature tends to exploit nature or the environment on a large scale. Cultivating awareness that cannot be separated from the world of education must be ensured at the beginning of schooling regarding improving perceptions of things that affect them. The emergence of environmental awareness is based on environmental ethics, which states that environmental awareness consists of environmental behavior, perceptions, and attitudes. This research was conducted to answer how students, exceptionally high school students possess environmental awareness and aimed to analyze environmental awareness that has been applied mainly at the high school level. The research was conducted by giving questionnaires to 353 students from two Adiwiyata recipient schools in DKI Jakarta. Analytical descriptive is used to analyze the results of this research. The results show that the respondents have adequate knowledge and attitudes but have good environmentally friendly behavior. The descriptive-analytical results obtained indicate that excellent results are obtained for the knowledge aspect. Good results are obtained for the attitude aspect, but the results are sufficient for the behavioral part. The impact of this research can be used as a benchmark for evaluating the Adiwiyata program related to environmental sustainability awareness.

Particulate matter is one of the threatening pollutants harmful to health. Currently, many researchers focus on the problem of PM2.5 concentrations in urban areas. This study aims to estimate the spatial distribution of PM2.5, and identify human behavior on air pollution in Jakarta. The method used were Spline with Tension to build the PM2.5 models, and multiple linear regression models to analyze human behavior on air pollution. The results showed that the annual average of PM2.5 in the last two years tends to be high in western, southern, and eastern parts of Jakarta. In addition, there was a decrease of PM2.5 concentration in 2020 compared to 2019 assumed as a result of Covid-19 Pandemic restrictions. Besides, analysis results showed a significant association between knowledge and attitude aspects on the action aspect. Based on descriptive analysis, people have good knowledge of air pollution and also concern to reduce air pollution. However, the actions for air pollution control are still not maximized which may cause high PM2.5 concentrations in Jakarta. We conclude that to reduce air pollution, the government should focus on the border areas of Jakarta and it can be done by increasing public knowledge and raising awareness for air pollution.

Telukjambe Barat and Telukjambe Timur Sub-Districts, Karawang Regency, have a high flood risk level due to changes in Land Use/Land Cover and the yearly occurrence of runoff water discharge. This research aims to analyze the rate and pattern of land-use change due to industrial development, examine the correlation of flood impacts with environmental-socio-economic factors, and develop a flood risk model in industrial areas. Data were collected through methods of system dynamics, remote sensing, geographic information system, questionnaire distribution, focus group discussions, and in-depth interviews with stakeholders. The results showed that floods in this regency are due to massive inland changes, such as the transition from vegetation and water bodies to industrial and residential areas and a strong relationship between environmental-social-economic factors. In other cases, areas with urban land conversion are likely to be flood-prone zones in places such as the Philippines, Belgium, and China. Based on the correlation test that has been conducted, the relationship with the highest level of closeness is the correlation between environmental factors and the impact of flooding, which has a value of 0.791. Therefore, the disaster risk model with an integrated spatial plan approach and an ecological perspective is an option for realizing sustainable development in industrial areas in Karawang Regency.

Nickel is an essential metal in modern infrastructure, with significant uses in the stainless-steel industry for less than 65%. Nearly 70% of the world’s nickel laterite production comes from Indonesia and the Philippines. The high demand for nickel-based materials globally and the availability of nickel laterite ore in Indonesia make laterite nickel mining in Indonesia inevitable. Medium and small mining companies are more likely to have a more significant impact on the environment than large companies. Therefore, it is necessary to evaluate the implementation of environmental risk and impact management, and develop a company strategy. The research was conducted by qualitative method, namely by descriptive analysis and SWOT analysis. The data was collected in interview text, questionnaire results, field notes, documentation, photos, and videos. SWOT is one of the methods to analyze the strategy of an organization by identifying and measuring strengths and weaknesses, and opportunities and threats of the organization. Result is obtained score 3.77 (the X-axis), and 0.34 (the Y-axis) and will be plotted into a quadrant graph of the SWOT analysis method. The research resulted in PT. REI is in quadrant I. Therefore, the strategy would be utilizing the strengths and opportunities of the organization.

Land-use change has an impact on growing physical flood vulnerability. Geographic Information System (GIS) and Analytic Hierarchy Process (AHP) approaches are increasingly being used for flood vulnerability assessments. However, none has used timeseries land cover data for evaluation and rainfall over various return periods for prediction simultaneously, especially in Indonesia. Therefore, this study aims to evaluate and predict physical flood vulnerability using time-series land cover data and rainfall data over various return periods. Eight criteria were considered in the assessment: elevation, topographic wetness index, slope, distance to the river, distance downstream, soil type, rainfall, and land cover. The criteria weights were determined using the AHP method based on expert judgment. The multi-criteria model was built and validated using flood inundation data. Based on the validated model, the effect of land cover changes on flood vulnerability was evaluated. The flood vulnerability changes were also predicted based on rainfall over various return periods. The evaluation and prediction models have shown reliable findings. The criterion elevation and distance to the river significantly influenced the physical flood vulnerability by 41% and 20%. The evaluation model showed a strong correlation between the built-up area and the area with high flood vulnerability (r 2 = 0.96). Furthermore, the model predicted an inundation area expansion for rainfall over various return periods. Further research using spatial data with higher resolution and more advanced validation techniques is needed to improve the model accuracy.

Dumai City, located in Riau Province is the second largest city in Indonesia and is also currently facing problems with solid waste management as the population continues to grow. Dumai Timur District is the most populated district in Dumai City with 68.980 people. The Municipal Solid Waste (MSW) in Dumai Timur District- particularly the plastic waste, paper, and metal; is expected to have some economic potential if seen from the Circular Economy (CE) perspective. Therefore, this study is conducted to quantify and characterize the MSW generated in Dumai Timur District and to analyze the economic potential of inorganic solid waste. The number of solid waste sample was determined by SNI-19-3964-1994 method and carried out using simple random sampling. The results showed that the estimated total household waste generated in Dumai Timur District is 7.772.735,76 kg/year or approximately 0,31 kg/person/day waste generated on average. The three largest waste composition consisted of organic waste, plastic and paper that represents 68,02%; 12,26%; and 8,08 respectively. The economic potential value was estimated up to Rp 871.605.708,42.5.