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Journal : Civil Engineering Dimension

ALTERNATIF METODA PENJADWALAN PROYEK KONSTRUKSI MENGGUNAKAN TEORI SET SAMAR Andreas Wibowo
Civil Engineering Dimension Vol. 3 No. 1 (2001): MARCH 2001
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (194.653 KB) | DOI: 10.9744/ced.3.1.pp. 1-8

Abstract

Program Evaluation Review Technique %28PERT%29 is a scheduling method that consider the uncertainty of the duration of an activity. It assumes a probability density function with a beta distribution. PERT simplifies the analysis using specific values of parameters of beta distribution. The analysis of critical paths consider the mean of the duration only and the probability of the expected total duration are based on critical paths only. Some cases showed that these simplifications cause errors and contradictions. This paper proposes an alternative scheduling method that also allows uncertainties of duration. The method%2C named Fuzzy Logic Application for Scheduling %28FLASH%29%2C applies a fuzzy set theory which is a perfect means for modeling uncertainties arising from mental phenomena which are neither random nor stochastic. It does not require statistical data but needs qualitative observations. Unlike PERT%2C FLASH considers all paths%2C not only critical path%28s%29%2C to analyze the possibility of an expected total duration. Abstract in Bahasa Indonesia : Program Evaluation Review Technique %28PERT%29 merupakan suatu metoda penjadwalan dengan menimbang durasi aktivitas yang bersifat tidak pasti. PERT mengasumsikan fungsi kerapatan probabilitas durasi aktivitas mengikuti distribusi beta. Analisis dalam PERT disederhanakan dengan menggunakan nilai-nilai tertentu parameter distribusi beta. Penentuan jalur kritis hanya menimbang mean durasi untuk menentukan jalur kritis%2C dan probabilitas total durasi didapatkan berdasarkan jalur kritis saja. Beberapa kasus menunjukkan penyederhanaan ini menimbulkan galat dan kontradiksi. Tulisan ini mengusulkan metoda penjadwalan alternatif yang juga menimbang durasi yang bersifat tidak pasti. Metoda ini%2C yang dinamakan Fuzzy Logic Application for Scheduling %28FLASH%29%2C menerapkan teori set samar sebagai satu cara untuk memodelkan ketidakpastian yang muncul dari fenomena mental yang bukan bersifat acak maupun stokastik. FLASH tidak mensyaratkan data statistis tetapi hanya pengamatan secara kualitatif. FLASH mempertimbangkan semua jalur%2C tidak hanya jalur kritis saja seperti PERT%2C untuk menganalisis posibilitas suatu total durasi yang diharapkan. scheduling+method%2C+FLASH%2C+PERT%2C+probability%2C+possibility%2C+fuzzy+set.
CAPACITY FACTOR BASED COST MODELS FOR BUILDINGS OF VARIOUS FUNCTIONS Andreas Wibowo; Wahyu Wuryanti
Civil Engineering Dimension Vol. 9 No. 2 (2007): SEPTEMBER 2007
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (224.716 KB) | DOI: 10.9744/ced.9.2.pp. 70-76

Abstract

The desired accuracy level of an estimate heavily relies on the availability of data and information at the time of preparing the estimate. However, an estimate often must be made when data and information are not complete. At earlier stages of project implementation at which data and information are minimal, a client is often required to prepare a cost estimate. This paper discusses the capacity factor-based cost models for buildings with total areas serving as the proxy of capacity. A total of four cost models for different building functions are presented in this paper. Based on the models, most building functions with the exception of housings, exhibit decreasing return to scale, meaning that the unit measure of cost expressed by cost per square meter declines as the size of capacity increases. The cost models are then applied to estimate the development unit cost for different demographical unit measures.
Measuring the Construction Risk Insurability through Fuzzy Inference System Leonardo Yonatan Tan; Andreas Wibowo; Andreas A. Pramudya
Civil Engineering Dimension Vol. 26 No. 2 (2024): SEPTEMBER 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ced.26.2.120-129

Abstract

Contractors face most of the construction risks among stakeholders, and insurance is a common method to mitigate these risks. However, not all risks are insurable. While prior studies have typically assessed risk insurability through a binary approach (insurable versus non-insurable) and lacked clear criteria, this study offers a novel perspective by evaluating the insurability of construction risks based on four criteria: ‘accidental events,’ ‘quantifiable,’ ‘numerous and homogenous,’ and ‘evaluable.’ This study develops a fuzzy-based model to assess the degree of the construction risk insurability, accounting for the uncertainty, imprecision, and vagueness inherent in evaluating insurability against a specific criterion and criteria combinations. The model is applied to assess the insurability of several construction risks, illustrating its practical application. This paper concludes by discussing the model’s limitations and suggesting directions for future research.