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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.
Analisis Risiko Prioritas yang Mempengaruhi Perubahan Biaya dan Waktu Pelaksanaan Proyek Hunian Tetap Pasca Bencana Rifu, Sulistian Purnamasari; Ghuzdewan, Toriq Arif; Budi Nugroho, Arief Setiawan
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 12 (2025): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i12.4843

Abstract

Pembangunan hunian tetap (huntap) pascabencana merupakan program strategis yang bertujuan menyediakan hunian layak dan aman bagi masyarakat terdampak, namun dalam pelaksanaannya sering menghadapi kendala berupa tingginya jumlah perintah perubahan (change order) yang berdampak pada keterlambatan dan peningkatan biaya. Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor risiko penyebab perubahan kontrak yang diklasifikasikan menjadi kejadian risiko (risk event) dan sumber risiko (risk agent) serta menganalisis sumber risiko prioritas yang mempengaruhi perubahan biaya dan waktu pelaksanaan proyek. Identifikasi risiko diawali melalui kajian literatur dan wawancara bersama 5 pakar yang terlibat dalam proyek huntap pasca bencana di Palu. Penelitian ini mengidentifikasi 14 risk event dan 15 risk agent. Penilaian risiko dilakukan melalui penyebaran kuisioner kepada 30 responden yang kemudian dianalisis menggunakan metode House of Risk (HOR). Hasil analisis diperoleh 6 risk agent prioritas yaitu perencanaan yang tidak memadai, site investigasi yang buruk oleh owner, keadaan kahar, keterlambatan pembebasan lahan, masalah sosial dengan warga sekitar pembangunan huntap, dan durasi kontrak yang tidak realistis yang diberlakukan oleh owner. Temuan ini memberikan gambaran mengenai sumber risiko dominan yang memengaruhi perubahan biaya dan waktu, serta dapat menjadi dasar dalam perumusan strategi mitigasi risiko.