I Nyoman Dita Pahang Putra
Department of Civil Engineering, Faculty of Engineering and Science, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya, Indonesia

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Implementation of a Dynamo Revit-Based Approach to Earned Value Identification Mechanism Gabriel Hotasi Stieward; I Nyoman Dita Pahang Putra
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 1 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i1.928

Abstract

The rapid development of the construction industry in Indonesia, reflected in the increasing volume of projects, growing design complexity, and higher demands for efficiency, requires effective project planning and control to ensure that implementation proceeds efficiently and sustainably, supporting better construction production performance. However, schedule delays and cost overruns remain two major issues frequently encountered in construction projects, particularly when planning, execution, and control processes are not optimally integrated. This study aims to implement Building Information Modelling (BIM) 5D as a tool for monitoring project time and cost, in combination with the earned value management method, during the construction of the Ambengan Batu Multipurpose Building. The project’s 3D model was developed in Autodesk Revit and subsequently linked to scheduling and cost data via visual programming in Dynamo. EVM values including Planned Value, Earned Value, and Actual Cost were calculated to obtain performance indicators such as Schedule Variance, Cost Variance, Schedule Performance Index, and Cost Performance Index. All analytical results were then visualized using a color-coding system applied to the BIM model elements, enabling project performance conditions to be quickly and effectively interpreted. The findings of this study are expected to demonstrate that integrating BIM 5D with EVM provides more accurate, transparent, and easily evaluated monitoring of project time and cost than conventional methods. This approach has been shown to enhance the effectiveness of project control, support sustainable construction practices, improve project production efficiency, and offers significant visual support for decision-making.Contribution to Sustainable Development Goals (SDGs):SDG 9: Industry, Innovation and InfrastructureSDG 11: Sustainable Cities and CommunitiesSDG 12: Responsible Consumption and Production
Analysis of Domestic Component Level and Company Benefit Weight Calculation in Multi-Story Building Construction Projects: A Case Study of the Pingit Police Dormitory Apartment Project Bella Ayu Permata Sari; I Nyoman Dita Pahang Putra
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.969

Abstract

The application of the Domestic Component Level (DCL) within the infrastructure construction sector constitutes a strategic policy undertaken by the government to promote the utilization and development of domestic products while reducing reliance on imported goods. In high-rise building projects, the assessment of DCL extends beyond material usage to include the contribution of local services and labor, as reflected in the Unit Price Analysis of work activities. This study is intended to determine the DCL value, the Company Benefit Weight, and the combined Domestic Component Level-Benefit Weight (BMP) value. A quantitative research approach is employed, utilizing secondary data such as the Cost Budget Plan (RAB), Unit Price Analysis (AHS), technical specifications, and unit price lists. The findings indicate that the DCL value reaches 80%, while the BMP value is 3%, resulting in a combined DCL and BMP value of 83% for the Pingit Police Dormitory Apartment construction project. This outcome surpasses the minimum DCL requirement of 25%, indicating that the project is not subject to further evaluation procedures or financial penalties. Contribution to Sustainable Development Goals (SDGs):SDG 8: Decent Work and Economic GrowthSDG 9: Industry, Innovation, and InfrastructureSDG 12: Responsible Consumption and Production
Evaluation of Constructability Factors on The Implementation Budget Plan Based on Importance Performance Analysis Shalwa Norendina Aziz; I Nyoman Dita Pahang Putra; Elok Dewi Widowati; Griselda Junianda Velantika
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 2 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i2.1002

Abstract

The rapid growth of the construction industry has increased the complexity of project implementation; however, in practice, cost overruns still frequently occur due to the suboptimal application of constructability during the planning and execution phases of projects. This situation results in a discrepancy between the planned budget and actual on-site expenditures. This study aims to identify the constructability factors that influence the implementation of the budget plan, analyze. The importance and performance levels of each factor, and evaluate the gaps as a basis for determining improvement priorities. The study employs a quantitative approach using a survey method by distributing questionnaires to contractors, followed by analysis using the Importance-Performance Analysis method. The results indicate that the average importance level of 3.737 is higher than the performance level of 3.368, suggesting that the implementation of constructability factors has not fully met the expected level of importance. A total of 16 variables had a conformity level below 100%, thus falling into the improvement priority category, while several other variables demonstrated performance that met or exceeded their importance levels. The contribution of this study lies in the integration of constructability analysis with the evaluation of the efficiency of the implementation budget plan using the IPA method to determine priorities for improving the performance of constructability factors Contribution to Sustainable Development Goals (SDGs):SDG 9: Industry, Innovation and InfrastructureSDG 11: Sustainable Cities and CommunitiesSDG 12: Responsible Consumption and Production