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Analysis of Dominant Causative Variable for Project-Based Work Delay at PT. XYZ
Hutomo Kusmarnadi Broto and Muslim Efendi Harahap

University of Indonesia


Abstract

Industrial sector in Indonesia has been stated to growth more every year. Based on data collected from Ministry of Industry, the most growing industrial sector in Indonesia is transportation. This phenomenon not only affect the transportation industry itself but also affect the industrial sector amongst them such as spare parts industry and the industrial sector that supports in spare parts production. This phenomenon caused the domino effect for every layer of supply chain. One of the chain elements is the contractor that construct the production line of spare parts and other materials needed to supply to transportation industry. More projects will be demanded to contractors as spare parts demand higher. One of problem for project-based work is its completion date (schedule) where there are a lot of causative variables which will affects them. This paper analyzes which variables that become dominant for causing project-based works delay. Variables data are collected from previous study and analyzed based on actual case study at PT. XYZ (one of EPC company). The research conducted using survey to variative respondent who works at PT. XYZ (vary from position, educational background, and experience). Survey results index risk ratio for each risk variable. After survey conducted, primary data (index risk ratio) were tested for reliability and validity using principal component analysis (PCA) and Cronbach-s Alpha method. Invalid and unreliable data removed from primary data and further analysis to determine rank of causative variable. The dominant causative variables then analyzed to identify how to manage them. The output of this paper will become a performance measurement and as a basic preventive action that can be applied at PT. XYZ or another company in common.

Keywords: Project Risk Management, Risk, Project, Delay,

Topic: Innovation, IT, Operations and Supply Chain Management

Link: https://ifory.id/abstract/PyfeM46k9TqA

Conference: The 4th Global Conference on Business, Management and Entrepreneurship (GCBME 2019)

Plain Format | Corresponding Author (Hutomo Kusmarnadi Broto)

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