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PENENTUAN DAERAH RAWAN KECELAKAAN DENGAN PENDEKATAN METODE JARINGAN SYARAF TIRUAN Annur Ma'ruf
Rekayasa Sipil Vol 13, No 1 (2019)
Publisher : Department of Civil Engineering, Faculty of Engineering, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2019.013.01.10

Abstract

Technology improvement gives positive impacts on increasing transportation mode. But it has a negative impact such as traffic jam and increasing number in traffic accident, so road safety issues must be a common concern. One of the efforts to prevent tha accident is to identify accident-prone areas as a warning system for user. Eleven road sections in Malang District and supported data from Satkorlantas Polres Malang District is used as scope of discussion in this study. In this study, the factors that caused accidents such as road characteristic, geometric and environment condition is used for identifcation the accident-prone area. Based on the data, database mapping was done and the pattern of potential accident-prone areas was determined. It can be used for analysis and decision. Mapping and testing process uses a neural network approach because the accuracy of this method has been already proven in various applications. The results approach on prone area identification indicates a precision with a variance of 0.15% in compare with accident-based data analysis through the validation process. This result shows that neural network approach can be used to identify the accident-prone areas as one of the solution in accident prevention and efforts in road safety improvement.
Pendekatan Probabilistik Berbasis PERT dengan Visualisasi TFN pada Penjadwalan Proyek Konstruksi Ismatul Khasanah; Lila Ayu Ratna Winanda; Munasih Munasih; Annur Ma'ruf
Jurnal Talenta Sipil Vol 9, No 1 (2026): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v9i1.1250

Abstract

Uncertainty regarding the duration of activities is a major factor affecting the reliability of construction project schedules. Variability in resources, field conditions, material supplies, and other technical conditions often cause deviations between planned and actual durations. Therefore, this study aims to analyze project duration using the Program Evaluation and Review Technique (PERT) based on three-point estimates, namely optimistic (a), most likely (m), and pessimistic (b), and to visualize the duration range through Triangular Fuzzy Number representation to clarify the variation in estimates for each activity. The methods used in this study include collecting duration estimates (a, m, b) through structured interviews, calculating the Expected Time (te) for each activity, and compiling a work network using the Precedence Diagram Method (PDM) with Microsoft Project to determine the critical path and total project duration. The results of the study show that the total project duration is 170 days, with several activities on the critical path determining the project completion time, while probabilistic analysis results in a 70% chance of project completion within the target duration. The uncertainty of scheduling analysis can be resolved with a triangular fuzzy number visualization approach to extend the optimistic, most likely, and pessimistic time limits for each activity. Based on these results, this study is expected to encourage the application of PERT analysis based on three-point estimates visualized in the form of triangular distributions for each activity as a basis for setting target durations and making more realistic project acceleration decisions.