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According to Indonesia's National Guidelines on Green Buildings (Kemen PUPR No,21,2021) called Penilaian Kinerja Bangunan Gedung Hijau (BGH), green buildings are mandatory for new and existing buildings. As environmental concerns grow, the Government uses these ratings to control energy consumption. A government initiative aims to increase demand for environmentally friendly buildings. This paper evaluates BGH's green building rating system for project certification in two Indonesian cities, Jakarta and Padang Paser Utara. Jakarta is the capital of Indonesia, the largest and one of the most populous urban city in Indonesia. Moreover, the new Indonesia capital city, Nusantara, will be built in Penajam Paser Utara, East Kalimantan. Using the results of this research, recommendations and suggestions can be given related to the design of green buildings both in Jakarta and Penajam Paser Utara. Evaluations will be conducted on simple residential buildings. The results of these studies indicate that designers and architects may have difficulty incorporating this rating systems into their designs. An evaluation of BGH ratings and sustainability analysis can be performed with building information modeling and a conceptual framework is presented toward the end of this paper. A rating system's success depends heavily on discussion among all stakeholders, including architects, engineers, environmentalists, governments, and communities. Indonesian experts in the building sector should take part in and contribute to this project. [ABSTRACT FROM AUTHOR]

The aim of this paper is to analyze students' chemical literacy through implementing an Ethical Dilemma-STEAM teaching model in chemistry acid and base lessons. The model is designed to engage students in values-based learning through dilemma stories that pose environmental problems to be solved through the development of an interdisciplinary project. The study involved 40 grade 11 students from a high school in Jakarta, Indonesia, during the 2021/2022 academic year. A qualitative research method was employed to investigate students' learning experiences through classroom observations, semi-structured interviews, reflective journals, and a chemical literacy test. The model engaged students through five steps of learning: value reflection, problem-solving and decision-making, content integration, STEAM integration, and transformation. In this study students were challenged to develop a jet-powered boat as a solution to an inter-island mobility dilemma. The study found that the Ethical Dilemma-STEAM teaching model supported students' chemical literacy development. The study demonstrated that students were encouraged to think critically by applying their conceptual understanding to practice. They were motivated to look closely at chemistry issues in everyday life, an indication that this model could be used as an alternative way to engage students to see the relevance of chemistry concepts and their application to the local environment. The paper also addresses the difficulties researchers faced in implementing an innovative approach to chemistry education during multiple COVID-19 outbreaks. [ABSTRACT FROM AUTHOR]

On data that are not normally distributed, classical linear regression is developed into the Generalized Linear Model (GLM). One of them is logistic regression which is used for binary discrete data. A different strategy is to consider all variables (response and predictors) to be random observations from the joint probability distribution. A model with dependencies should be used because some factors are dependent. The copula model, one of which is the Gaussian copula, is a popular technique for creating multivariate models with dependencies. The Gaussian copula regression model (GCMR) is a general structure that can be used to model any form of dependent response. The Gaussian copula blends the ease of interpretation of marginal modeling with the flexibility of the dependency structure specification. In this case, the estimated parameter is the regression coefficient and the error is expressed in the dependency structure. The model estimation uses the maximum likelihood method. This paper aims to apply the GCMR model to time series data where the dependent variable is discrete with a binomial distribution. A case study was conducted to see the effect of weather factors on Covid cases in DKI Jakarta. The regression model used is binomial data logistic regression with the dependency structure expressed in the correlation matrix with the assumption that the error is obtained from the ARMA(p,q) process. The dependent variable is the number of Covid-19 cases and the independent variable is the maximum temperature, average temperature and humidity. The data are a daily time series with a range of March 1, 2020 to April 30, 2022. Based on the GCMR model, Maximum temperature, average temperature and Humidity have a significant influence on the number of Covid-19 cases in Jakarta. For this case study, the results show that the GCMR model is better than logistic regression analysis. [ABSTRACT FROM AUTHOR]

This paper describes the development of a blended-based sustainable training model. The blended learning model is used to overcome participants' limited time constraints in ongoing training to increase the competency of tourism village community empowerment facilitators. The research method used is development research. The research subjects were community empowerment facilitators in tourist villages, DKI Jakarta, and West Java. The data collection techniques used were observation, interviews, and literature review. Data analysis in this research was carried out using qualitative descriptions. The study results show that conceptually implementing a blended learning-based continuous training model increases facilitators' competence in empowering the Tourism Village community through the stages of input, process, and output analysis. In the input component, the training manager maps the competency of the facilitator's objective conditions; the training process component uses an andragogy approach where participants have self-concept practical experience and can overcome the problems they face; and the output component produces tourism village facilitators who master three competency elements, namely basic, core and special. [ABSTRACT FROM AUTHOR]

The environmental crisis is a big problem that challenges human life today and in the future in line with the industrial era 4.0. The environmental crisis is a concern for all parties, including those involved in the religious field, especially in the current industrial 4.0 era. Various efforts continue to be made to preserve the environment in various ways and different approaches. The perspectives of religions on the environment can be a source of inspiration and solutions for efforts to build awareness of the Indonesian people to care about the environment. Online interviews were conducted on figures who understand their respective religions well who live in Jakarta, Bandung, Malang and Denpasar City, Bali. This paper finds the environmental perspective of religions from the interviewees as an epistemological framework for positive-constructive efforts to overcome the current environmental crisis. To foster environmental awareness in line with industry 4.0, it is necessary to create a digital technology platform in the form of a virtual tour that contains knowledge and educational content on environmental care as a means of socializing values for the people of Indonesia. The virtual tour is expected to be an educational instrument that can change the mindset, empathy, attitude, and action patterns of Indonesian people to care about the environment. [ABSTRACT FROM AUTHOR]

There are three important elements that need to be harmonized so that the Sustainable Development Goals (SDG's) can be achieved, namely economic growth (economic growth), social inclusion (social inclusion), and environmental protection (environmental protection). The Environmental Performance Index (EPI) 2020 places 180 countries on environmental health and ecosystem vitality, Indonesia ranked 116th. The indicators provide environmental policy targets, environmental performance and provide practical guidance for countries aspiring to move towards the sustainable future. Environmentally sound development is also supported by the government at the policy level in the form of Regulation of the Minister of Public Works and Public Housing of the Republic of Indonesia Number 21 of 2021 concerning the Assessment of Green Buildings. Through this regulation, the government wants to encourage the realization of the implementation of sustainable buildings that are characterized by efficient use of resources and their contribution to reducing greenhouse gas emissions (GHG emissions). The target is to reduce GHG emissions based on DKI Jakarta Governor Regulation No. 131 of 2012, namely from non-provincial buildings of 1.5 million tons of CO2 emissions in 2020 and 5.5 million tons of CO2 emissions in 2030. While the target of the provincial government building itself in 2020 is 49.4 thousand tons of CO2 emissions and in 2030 of 129.5 thousand tons of CO2 emissions. This paper is intended to evaluate the application of Green Retrofitting in Existing Office High-rise Buildings, and proposed alternative ways in order to improve efficiency and effectiveness of Green Retrofit in Existing Office High-rise Buildings development and financing. [ABSTRACT FROM AUTHOR]

A high-speed train is a form of transportation that connects between distant places, in this case, town to town of Jakarta and Bandung. Travel time using this means of transportation decreases since there will be no congestion as it uses dedicated railways along its travel route. During its journey, it will encounter many tunnels like the Walini tunnel. Many aerodynamic phenomena will occur and affect the train while entering, inside, and exiting the tunnel. These events will affect the whole-body surface of the train, the tunnel, and the nearby environment. The focus of the analysis of the effects is on the train's nose, influenced by the velocity and pressure that the train produces. Pressure and velocity inside the tunnel can be related to the piston effect. The pressure difference that the high-speed train brings from the outside environment into the tunnel at high speed is affected. Pressure is built up in front of the train, especially at the nose of the train. Due to its micro-pressure breakage that needs to travel to the rear part of the train to stabilize the aerodynamic condition before it becomes stable when 2-3 lengths of the train have exited the tunnel. In this paper, we will analyze the train nose shape's difference in affecting the piston effect inside the tunnel. The parameter used is when the entire train has entered the tunnel and is about to leave since the effect can be clearly seen at this particular time. [ABSTRACT FROM AUTHOR]

To get the OTTV value, you must first calculate the solar radiation value. Solar radiation occurs as a result of the sun's heat being exposed to the surface of the building and then goes inside so that the air temperature inside the building gets hotter. The solar factor is one of the elements of solar radiation which is important in determining the overall thermal transfer value for each outer area of a building. The availability of solar factor data in one place is very important to use for building design purposes. Calculating the solar factor is very difficult, moreover, SNI only contains data for the city of Jakarta. There are several ways to calculate the solar factor, with available SNI tables or by laboratory experiments or direct measurements of sunlight. So to make it easier for the designer, we propose to use the rule of thumb formula. The method used is based on local solar factor data, then a radian angle is made from 0 ° -360 °, which results in an ellipse shape in an equation. This paper concludes that the Rule of thumb formula is very helpful for architects in calculating the SF value and can also complete the table in SNI: 2011, which only contains the SF value for the city of Jakarta, meaning that it only applies in Jakarta, so similar research is needed to get the SF value for other cities in Indonesia. [ABSTRACT FROM AUTHOR]