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All Journal Astonjadro Journal of Artificial Intelligence and Digital Business Influence: International Journal of Science Review
Barri, Ahmad
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Public Health Social Sciences

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Journal : Astonjadro

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Modeling the Implications Green Retrofitting River Conservation was Validated using (SEM) Analysis Arif, Eka Juni; Sinaga, Lastarida; Kristiyanto, Kristiyanto; Barri, Ahmad; Ator, Wyllem Thomas
ASTONJADRO Vol. 13 No. 3 (2024): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v13i3.15922

Abstract

According to the 2015 United Nations Framework Convention on Climate Change (UNFCCC), reducing CO2 in the atmosphere is essential to reduce related environmental problems, considering the increasing demand for air due to climate change. Carbon capture and sequestration is an attractive method for reducing carbon dioxide (CO2) emissions from the atmosphere. However, in some places, agricultural landscapes face problems due to air resources. Trees play a very important role in the fight against climate change. They pollute the air, stop landslides, absorb CO2 and some air pollutants, and absorb phosphate and nitrate runoff. Ten main elements, ordered from least to most important, were identified using research techniques that combine SEM-PLS to process survey data and find the most influential components. River conservation verification in Envision has the greatest impact. According to this research, the following things influence the implementation of green retrofits on green rivers: energy savings; emission reduction; use of the latest energy; the existence of an environmentally friendly green river program; cost planning and design; project feasibility studies; material costs; and use of the latest technology. It is hoped that the results of this research will increase public awareness and concern regarding the implementation of environmentally friendly green rivers as an effort to make rivers greener and more natural, reduce operational costs, and provide comfort for the community.
Application of the Green Building Concept (BGH) in High-Rise Office Buildings Based on Hybrid Dynamics to Improve Cost Performance Barri, Ahmad
ASTONJADRO Vol. 13 No. 3 (2024): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v13i3.15941

Abstract

This research aims to determine the application of the green building concept (BGH) in multi-story office buildings based on hybrid dynamics to improve cost performance. The method used in this research is a quantitative method with primary and secondary data types. The sampling technique used purposive sampling with 163 individuals involved in the Ginza Business Loft Jababeka area. The data management and analysis techniques used are outer model analysis (measurement model) and inner model analysis (structural model) using the SmartPLS 3 Multivariate Structural Equation Model (SEM) technique. Partially, the results of this research show that X2.2.21 has a P-Values value of 0.000 for X2.2 has a P-Values value of 0.000 on 0.000, it can be concluded that X3.2.2 has a strong influence on variable X3.2 in the model. The variable X2.3.6 also has a P-value value of 0.000, meaning that X2.3.6 has a significant effect on variable X2. Variable X3.1.6 has a P-value of 0.000 for variable X3, indicating that the auditor quality variable has a significant effect on variable X3. Furthermore, variable Y2.2 has a P-value value of 0.000, indicating that this variable has a significant influence on variable Y2. These results illustrate that variable Y2.2 has a strong influence on variable Y2 in the context of the research model. Overall, the results of the P-Values analysis show that the variables mentioned above have a significant influence on the variables measured.
Co-Authors Arif, Eka Juni Ator, Wyllem Thomas Budiandru Hidayat, Rahmad Sujud Kristiyanto, Kristiyanto Lastarida Sinaga