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Analysis of Mark UP value decisions with a bidding strategy model to win projects in government auctions Nyoman Rowin Sinaya; Parwadi Moengin; Bambang Endro Yuwono; Darmawan Pontan
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 6 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i6.1120

Abstract

The purpose of this study is to create a bidding strategy to determine the optimum markup value and maximum expected profit to win a project auction. From the data selection results, 24 project tenders and 12 large qualification companies participated in the tender on the LPSE page of the Ministry of PUPR, which will be used as samples in this study. The bid strategy model used to calculate the optimum markup value and maximum expected profit are with 3 (three) bid strategy models, namely the Friedman Model, Gates Model and Ackoff & Sasieni Model, and to calculate the probability of winning using the statistical approach method of multi discrete distribution, normal multi-distribution and single normal distribution. From the results of testing models with optimal mark-ups for the 24 project tenders used in this study, the percentage for each bidding strategy model that has the potential to win the tender sequentially is the Friedman model by 80.56%, the Gates model by 61.11% and the Ackoff &; Sasieni model by 43.06%. So, it can be concluded that the Friedman model provides a fairly high chance of winning tenders in government projects within the Ministry of PUPR.
Risk Analysis Based on Failure Mode And Effect Analysis (FMEA) in the ISO 9001:2015 Quality Management System On Toll Road Projects (Case Study: Toll Road Cikupa, STA 32+100 – 36+300) Henoch Leindrio Cornelis; Endah Kurniyaningrum; Bambang Endro Yuwono; Inavonna Inavonna
Eduvest - Journal of Universal Studies Vol. 5 No. 10 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i10.51437

Abstract

Toll roads play a crucial role in supporting national economic mobility and growth. Quality risks such as grain leakage, crocodile skin cracks, curls, grooves, removal of asphalt layers, and collapses frequently occur on the Tangerang-Merak Toll Road, specifically in the Balaraja-Cikupa section. This study aims to integrate the Failure Mode and Effect Analysis (FMEA) method with the ISO 9001:2015 standard to enhance risk management within the quality management system of toll road projects. It also evaluates the model’s effectiveness in reducing potential failures, improving quality, and aiding decision-making. The study focuses on selected clauses from the ISO 9001:2015 quality management system, including planning and controlling operations, product and service requirements, control of externally provisioned processes, and involvement of production and service providers. The Risk Priority Number (RPN) is used to analyze potential failure modes, measured by severity, occurrence, and detection. At the study site, the highest RPN value was 294, linked to an asphalt mixture that was insufficiently liquid. The failure modes most strongly related to quality degradation were cracks and deformations undetected during initial inspections (X2-9), with a correlation of 0.922 and a significance value of 0.000. The combined effect of all free variables (X1, X2, X3, X4) on the decrease in work quality at the site (Y) accounted for 70.7%. This integration of FMEA and ISO 9001:2015 provides a valuable framework for improving risk management and quality assurance in toll road projects.
Analysis of Project Performance and the Selection of Mitigation Strategies for Fiscal Disruptions Due to Government Budget Relaxation Policies Aristo Yonghy Robertus; Bambang Endro Yuwono
Eduvest - Journal of Universal Studies Vol. 6 No. 5 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i5.52854

Abstract

Changes in budget allocation mechanisms and delays in fund disbursement have adversely affected project schedules, cost efficiency, and cash flow stability. This study aims to quantitatively evaluate the impact of fiscal disruption on project performance using Earned Value Management (EVM) indicators—namely the Schedule Performance Index (SPI) and Cost Performance Index (CPI)—and to identify the most feasible managerial mitigation strategy under constrained fiscal conditions. The research adopts a quantitative-dominant mixed-methods approach utilizing secondary data derived from official project documents, including S-curves, progress reports, cash flow statements, and government fiscal policy regulations. Project performance is assessed through EVM, while financial conditions are evaluated using Net Cash Flow (NCF) and Net Profit (NP) analysis. Several alternative funding strategies are analyzed using Discounted Cash Flow (DCF) techniques such as Net Present Value (NPV), Internal Rate of Return (IRR), Discounted Payback Period (DPP), and Debt Service Coverage Ratio (DSCR). The alternatives are subsequently ranked using a Multi-Criteria Decision Making (MCDM) approach based on a Weighted Scoring Model (WSM). The results indicate that fiscal adjustment policies significantly deteriorated project performance, as reflected by an SPI of 0.669 and a CPI of 0.957 as of June 2025. Among the evaluated mitigation strategies—internal funding, external funding, partial PPP, and a combination of internal–external funding—the combined strategy yields the most balanced technical and financial performance. Although it does not generate the highest profit, this strategy demonstrates superior overall feasibility and resilience under fiscal pressure.