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All Journal Jurnal Teknik Sipil Journal of Social Research
Mahendra, Didi Herianto
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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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.
THE ASSESSMENT OF NATIONAL ROAD SURFACE CONDITIONS ANALYSIS BASED ON THE INTERNATIONAL ROUGHNESS INDEX (IRI) METHOD USING ROADROID APPLICATION Mahendra, Didi Herianto; Erwan, Komala; Kadarini, Siti Nurlaily
Jurnal Teknik Sipil Vol 23, No 1 (2023): JURNAL TEKNIK SIPIL EDISI FEBRUARI 2023
Publisher : Fakultas Teknik Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jtst.v23i1.59629

Abstract

Road infrastructure is built as an infrastructure to meet needs and facilitate accessibility and mobility of socio-economic activities in the community. With the benefits that are so important, therefore the road construction and maintenance sector become a priority to be researched and developed in planning, implementing, and maintaining it.   At the location of Jalan Khatulistiwa section, most of the road surface conditions are in moderate condition so the recommendation for improving road surface conditions is periodic maintenance on 56 segments and the other 13 segments are carried out routine maintenance. In the IRI measurement using the Roadroid application, there is a tendency to produce an IRI value that is greater than the IRI measurement using a laser profilometer, but the IRI value obtained by Roadroid tends to approach the IRI value as measured by a laser profilometer with an average percentage difference per segment of 2.91% with 2 segments that have different conditions. Based on the provisions of Pd-01-2021-BM, the IRI value test of the Roadroid has met the requirements as a class III measure of unevenness (IRI).
Co-Authors Aminullah, Akhmad ghuzdewan, Toriq arif Komala Erwan Siti Nurlaily Kadarini, Siti Nurlaily