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Exploring The Financial Dynamics Of Green Building Adoption: Insights From Indonesia Sutikno Sutikno; Sarwono Hardjomuljadi; Hendrik Sulistio; M. Agung Wibowo; Suyono Dikun
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 2 (2024): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i2.4773

Abstract

This research purpose is to offer insights to property owners and developers whose focus tends to be solely on the initial costs of green buildings, and aligning with the requirements set forth by Minister of Public Works and Public Housing Regulation No. 21 of 2022, effective from 2022, which mandates green buildings to obtain Building Structure Approval (PBG) and Functional Worthiness Certificate (SLF). Drawing from the 2013-2018 Green Building Council Indonesia (GBCI) report, which indicates a mere 2% certification rate for buildings exceeding 12 floors, this study seizes the opportunity to delve into how green building considerations influence financial decisions. Surveying 102 experienced respondents in green building practices, this research employs green building factor analysis, value engineering, life cycle cost analysis, and Structural Equation Modeling (SEM)-PLS to scrutinize the factors influencing cost performance in green buildings. The findings spotlight 10 critical green building factors pivotal for securing certification, alongside unveiling correlations between initial costs, operational costs, and life cycle costs. Anticipated outcomes encompass facilitating compliance with Minister of Public Works and Public Housing Regulation No. 21 of 2021, and nurturing the development of green buildings in Indonesia. Implications span regulatory compliance, informed financial strategies, green building advancement, and knowledge dissemination. This study aims to simplify comprehension of the financial ramifications of green buildings, furnishing practical guidance for developers in navigating the intricacies of cost-sustainability equilibrium.
Study of The Influence of E-Procurement System on The Achievement of Project Progress Performance in Construction Projects Within The EPC Division - PT. PP Persero Tbk Junaidi Heriyanto; M. Agung Wibowo; Bambang Purwanggono
Eduvest - Journal of Universal Studies Vol. 5 No. 4 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i4.51124

Abstract

Amid increasingly fierce competition in the construction industry due to the growing number of service providers and limited market share, achieving optimal cost performance, timely delivery, quality compliance, and zero workplace fatalities has become more challenging. To monitor project performance effectively, companies must establish Key Performance Indicators (KPIs) as benchmarks for project evaluation. One internal factor within PT. PP Persero Tbk is the centralized e-procurement system, which plays a crucial role, especially in EPC (Engineering, Procurement, and Construction) projects. Data from 2020–2022 indicates delays across centralized e-procurement processes in all projects, with procurement delayed in 7 out of 10 required steps: technical clarification, price negotiation, required negotiation evaluation documents, negotiation evaluation, objection period, contract draft review, and final contract wet signatures leading up to contract release. This highlights a suboptimal e-procurement progress performance. This study involved a survey comprising 61 variables related to the potential impact of e-procurement on progress performance, distributed among internal and external stakeholders. Validity and reliability tests were conducted prior to analysis using principal component analysis (PCA). A total of 43 respondents completed the survey. The results of the validity and reliability tests confirmed that all 61 variables were valid and reliable. PCA results identified 16 principal components, with 25 variables exhibiting positive loadings in Component 1, 18 variables in Component 2, and the remaining variables distributed across Components 3–6. The study indicates that focusing on Components 1–6 can serve as a priority framework for addressing variables to significantly improve e-procurement progress performance.