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All Journal G-Tech : Jurnal Teknologi Terapan Journal of Social Research
ghuzdewan, Toriq arif
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Social Sciences

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Development of a Python-Based Program for Pareto Analysis in Construction Project Cost Management Ghuzdewan, Toriq Arif
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7379

Abstract

Construction projects are highly complex activities that involve various types of tasks with a large number of work items and resources. This complexity makes cost management a significant challenge. To address this challenge, the Pareto principle, which asserts that the majority of results come from a small number of causes, can be applied to focus attention on the most significant tasks. While Pareto analysis can be performed using spreadsheet such as Microsoft Excel, this process often requires lengthy steps, particularly when multiple Pareto charts need to be generated. This study aims to develop a Python-based program that allows for the automatic and efficient generation of Pareto charts. The program was developed through a structured process of identifying requirements, designing, coding, and testing. The program was tested using simulated cost estimate data from a building construction project and the results showed that the program successfully generated Pareto charts for the analysis of labor, material, and overall work-related costs. The testing also indicated that the program is user-friendly, with a step-by-step input mechanism that facilitates ease of use.
Risk Identification in Toll Road Projects: Literature Review and Expert Validation Raharjo, Alif Naufal; Suparma, Latif Budi; Ghuzdewan, Toriq Arif
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7385

Abstract

Toll road projects are complex construction undertakings that inherently involve a variety of significant risks. This study aims to identify the key risks associated with toll road construction projects through a comprehensive literature review, followed by expert validation conducted on a case study of the Yogyakarta–Bawen Toll Road Section 1 project. The validation process involved distributing questionnaires and conducting interviews with five professionals representing the project owner, consultant, and contractor. The literature review initially identified 31 potential risks; however, expert feedback determined that only 20 of these risks were considered relevant. Additionally, experts introduced two new critical risks: design changes due to government policy and prolonged design review processes. This brings the total number of validated risks to 22. These findings provide a foundational basis for further risk analysis and the development of effective mitigation strategies aimed at minimizing adverse impacts during toll road project execution.
Construction Project Scheduling Optimization with Time-Cost Trade-Off Based on Genetic Algorithm in Python Mahendra, Didi Herianto; Aminullah, Akhmad; Ghuzdewan, Toriq Arif
Journal of Social Research Vol. 4 No. 10 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v4i9.2761

Abstract

Construction project delays frequently occur due to discrepancies between planned and actual implementation schedules under field conditions, where time and cost factors represent two primary obstacles that must be optimally managed. This study aims to develop a construction project scheduling optimization model based on Genetic Algorithms using Python programming to provide effective, efficient, and measurable solutions that achieve a balance between implementation time and project costs. The research method involves developing a construction project scheduling optimization model that considers the time-cost trade-off using a Python-based genetic algorithm, with a case study of the Sei Baru 1 Water Bridge Replacement Project in Belitung Regency. Data were obtained from PT. Billiton Hero Sukses Cemerlang in the form of wage and material prices, AHSP (Unit Price Analysis), RAB (Budget Cost Plan), as well as information on[A1] duration and acceleration costs through interviews. The research results demonstrate that the implementation of the NetworkX-CPM and Genetic Algorithm hybrid effectively optimizes construction project scheduling, achieving a cost reduction of 3.49% and duration reduction of 34.82% compared to normal conditions. The optimal GA parameters for this case were: population 50, generation 100, tournament 5, crossover 0.7, and mutation 0.2. The resource leveling process successfully balanced the distribution of daily labor requirements. All optimization results were validated through manual CPM calculations, remained free from constraint violations, and were supported by data visualization and automation integrated with Excel and Microsoft Project.
Co-Authors Aminullah, Akhmad Latif Budi Suparma Mahendra, Didi Herianto Raharjo, Alif Naufal