Renewable Energy Approach with Indonesian Regulation Guide Uses Blockchain-BIM to Green Cost Performance

Climate change is a threat and crisis that hit the world today; one of them is causing drought, rising sea levels, melting polar ice, and heat waves; therefore, the target towards Net Zero Emission (NZE) in 2060 must be an obligation in all countries. Green Building (GB) is a building that meets Building Technical Standards, and has demonstrated demonstrable success in conserving resources such as water, energy, and other resources. The application of GB principles following the function and classification in every stage of their implementation is expected to reduce greenhouse gas emissions. This research aims to analyze the cost of improvement work based on GB assessment in applying the Technical Guidelines from Minister of Public Works and Public Housing (PUPR) No. 1 of 2022, which is the latest regulation in Indonesia. The blockchain-BIM method and the implementation of the GB component will be analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) to find the most influential factors. The results of this study show that by applying Blockchain-BIM to overcome the cost constraints, it is proven to be able to increase the cost performance of GB in modern shopping center buildings by 3–3.8% in the Basic rating, while for other ratings, it is 0.5–2.1% higher, where the selection of a renewable energy model is very influential. Doi: 10.28991/CEJ-2023-09-10-09 Full Text: PD

Influential factors in the application of the Lean Six Sigma and time-cost trade-off method in the construction of the ammunition warehouse

Construction projects have developed so rapidly, one of which is the construction of warehouses. The warehouse discussed in this study is an ammunition warehouse. The construction of the ammunition warehouse has a deadline in accordance with the contract agreed between the owner, contractor and consultant. But in the implementation in the field, there was a delay in the work of the concrete structure. This study aims to obtain the dominant factors causing delays in the ammunition warehouse project by applying the Lean Six Sigma method and time-cost trade-off in solving the problem. Data processing used statistical analysis SPSS (Statistical Package for the Social Sciences), which was obtained from questionnaires filled out by experts. From this processing, the highest ten factors were obtained, namely 1. Inadequate planning and scheduling, 2. Implementation of work plans, 3. Delay in drawing up and approval of drawings, 4. Cost reduction, 5. Relationship between management and labor, 6. Relationship design internal team, 7. Lack of skilled manpower, 8. Flexibility, 9. Errors during construction and 10. Inaccurate prediction of craftsman production levels. This research is useful and beneficial for readers and can be developed again