Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal International Journal of Civil Engineering and Infrastructure (IJCEI)
Rachmad Irwanto
Muhammadiyah Jakarta University
Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Engineering Environmental Science Transportation

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WHY WOULD A CONTRACTOR SKIP A WORK? - A GAME-THEORY APPROACH Rachmad Irwanto
International Journal of Civil Engineering and Infrastructure Vol. 3 No. 1 (2023): IJCEI Volume 3 No. 1
Publisher : University Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/ijcei.1.1.66-75

Abstract

There is almost always or at least a disorder phase in construction project. This paper elaborates a game theory review of a real case where a contractor decides to skip a work phase willfully. The review discusses the case through zero-sum and non-zero-sum scenarios to observe what possible ways in terms of the best payoffs through Nash equilibria. So far, despite the skipped work, the real project is undergoing well and will likely to catch the deadline. The game theory analysis on the real case project has found that the payoffs are measured through specifically described strategies and to some extents, could provide insights on decision making process during construction phase. 
MULTIVARIATE ANALYSIS ON THE STUDY OF PORT FACILITIES DEVELOPMENT: PCA ANALYSIS FOR LOW CORRELATION DATASET Rachmad Irwanto; Budi Satiawan; Irnanda Satya Soerjatmodjo; Andika Setiawan
International Journal of Civil Engineering and Infrastructure Vol. 3 No. 2 (2023): IJCEI Volume 3 No. 2
Publisher : University Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/ijcei.3.2.10-20

Abstract

Efforts to develop existing infrastructure facilities are highly regarded in order to keep up with capacity demand and upgrade changes in data trends. To obtain the best users’ interest in the facilities that aligns management development plan and schedule, a questionnaire is commonly conducted. Datasets acquired from questionnaire featuring satisfactory level such as Likert scale tends to be ordinal. Ordinality using standard Pearson correlation lean towards weak relationship. Traditional PCA, relying on Pearson correlation, may struggle to capture the nuanced relationships within such ordinal data, leading to a loss of valuable information. Through a comparative analysis of PCA results using both covariance matrix and conventional Pearson correlation, this paper demonstrates the efficacy of the proposed methodology in uncovering latent patterns and relationships within the questionnaire responses.
Co-Authors Andika Setiawan Budi Satiawan Irnanda Satya Soerjatmodjo