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Journal : Astonjadro

Anticipation and Solutions for Cost Overruns of Material Costs in Toll Road Construction Projects Isfahani, Muhammad Nafhan; Antonius, Antonius; Wibowo, Kartono
ASTONJADRO Vol. 14 No. 2 (2025): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v14i2.18377

Abstract

This paper presents the results of research on anticipation and solutions for material cost overrun in the open system Toll Road project in Jadebotabek. The purpose of this study is to determine the anticipation and solutions for handling material cost overrun. This study was conducted by surveying 76 correspondents consisting of Managers, Consultants and Contractors involved in the construction of Toll roads in Jadebotabek. The survey results were tested for validity and reliability to determine the dominant factors causing cost overrun, then the development of anticipation and solutions for handling material cost overrun was carried out by a team of experts. The results of the study showed that there were 10 valid factors causing cost overrun with a coefficient value of 0.389 - 0.716 and 13 reliable factors causing cost overrun with a Cronbach's alpha value above 0.700. The results of this study also show that anticipation and solutions for handling material cost overrun in toll road projects are preventive measures to reduce and eliminate the occurrence of cost overrun at the planning stage and at the implementation stage.
Optimization Strategy for Winning Construction Management Consultant Services Tenders in Indonesia: Delphi and SWOT Studies Gantika, Eko; Wahyudi, Slamet Imam; Wibowo, Kartono
ASTONJADRO Vol. 14 No. 3 (2025): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v14i3.17925

Abstract

This study aims to formulate an optimization strategy for winning tenders for construction management consulting services in Indonesia based on the results of Delphi and SWOT analyses. The Delphi method is used to obtain consensus from experts on factors that influence tender winning, while the SWOT analysis helps group these factors into categories of strengths, weaknesses, opportunities, and threats. The results show that the company's main strengths are project experience, quality of human resources, and financial stability. The main weaknesses include inefficient administrative management and incomplete documents. The greatest opportunities arise from national infrastructure projects and partnerships with foreign companies, while the greatest threats are increasingly fierce competition and complex changes in tender regulations. Based on these results, the recommended optimization strategy involves improving project management, utilizing technology, and strengthening relationships with project owners. This study provides strategic guidance that can help consulting firms improve their competitiveness in the tender process.
Integration of Design and Construction Implementation of Buildings on Soft Soil: Decision Support System Model Approach Anwar, Roy Rizali; Pratikso, Pratikso; Wibowo, Kartono; Taufik, Syahril; Setiawan, Ichwan
ASTONJADRO Vol. 14 No. 3 (2025): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v14i3.18099

Abstract

Construction projects on soft soils face significant technical and financial challenges due to low soil bearing capacity and high potential for settlement. These unique characteristics require effective integration of design and implementation to overcome high risks and improve structural stability. This study develops a Decision Support System (DSS) model based on Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) applied to the process of selecting foundations and construction methods for buildings on soft soils. This DSS enables a comprehensive assessment of various design alternatives and construction methods based on multi-aspect criteria, including stability, cost, time, material, and environmental conditions. Through data analysis and questionnaires involving construction experts, this DSS was tested on an infrastructure project in the tidal area of ​​South Kalimantan. The results show that this DSS model is effective in supporting the selection of foundations, such as piles and bored piles, which are adjusted to the building load and soil conditions. This DSS also provides implementation priorities that can minimize the risk of project costs and delays. In addition to improving efficiency and accuracy in decision making, this model offers an integrated approach that optimizes every stage of construction from planning to field execution. This DSS contributes to the development of better and more sustainable risk management methods in construction projects on soft soils. These findings are expected to be applied more widely in the construction industry, especially in efforts to manage the high risks associated with soft soil conditions and create more efficient and stable construction.
Value Engineering Model of Hospital Buildings According to Building Technical Standards in Indonesia Riyanto, Joko; Wahyudi, Slamet Imam; Wibowo, Kartono
ASTONJADRO Vol. 14 No. 4 (2025): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v14i4.19097

Abstract

This study develops a Value Engineering model for hospital buildings that is in accordance with the rules of building technical standards in Indonesia. This standard includes Government Regulation, Regulation of the Minister of Health, and Regulation of the Minister of Public Works and Public Housing. This model aims to, obtain Variable Criteria that meet the requirements of Design eligibility, obtain Solution Strategies for fixing Variables that are less qualified to produce design recommendations with the lowest cost or net and highest benefits, and Provide a Value Engineering model that can be used to assess Design Feasibility, Variables that meet and do not meet the requirements, Strategies for fixing less qualified variables, Strategies for obtaining Design Recommendations at the lowest price or net  benefit as high as possible. The results of the model can be applied to the design phase in planning.  This Value Engineering Model is  an Abstract Development of a soft system model with DSS (Decision Support System).