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COMPARISON OF WHAT IF, FAST TRACK, AND CRASH PROGRAM METHODS FOR ACCELERATION OF PROJECT DELAY Ratih Prawirawati; Agus Suharyanto; Alwafi Pujiraharjo
Rekayasa Sipil Vol. 16 No. 2 (2022): Rekayasa Sipil Vol.16. No.2
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2022.016.02.5

Abstract

One of the obstacles that often arises in working on a project is project delay. Delays are usually caused by unplanned obstacles  or problems. Delays cause the project implementation duration is not as planned in employment contract. What If, Fast Track, and Crash Program methods can all reduce project delays. The costs incurred by the Fast Track method and the What If method were less than the realization costs, while the Crash program method is greater than the realization costs, but the costs of all these methods are greater than the planning costs.The combination of Fast Track Crash Program methods and the combination of Fast Track What If methodsboth can restore the initial duration of the project.If the methodsare reversed into combinations of the Crash Program Fast Track methods and What If Fast Track methods, the produced results aredifferent, namely unable to restore the initial duration of the project. The costs incurred from these combinations are both less than the realization costs, but still higher than the planning costs.
Flood Inundation Mapping Based on Land Use and Land Cover Change in Jatiroto Watershed, Lumajang, Indonesia Nabilla Syafa; Agus Suharyanto; Indradi Wijatmiko
Journal of Novel Engineering Science and Technology Vol. 5 No. 01 (2026): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v5i01.1279

Abstract

Floods are one of the most frequent natural disasters and cause considerable economic, infrastructure, and social losses, especially in areas experiencing land use/land cover change (LULC). In this study, we use GeoHECRAS and GIS to model the flood risk due to historic land use changes in the Jatiroto watershed (DAS Jatiroto) in Lumajang (East Java, Indonesia). The study evaluates the consequences of land-cover conversion between 1995 and 2023 on flood processes, including the variations of flood extent, depth, and duration. Rainfall, land use, soil types, and topography data were used to construct the flood prediction model, and the model was validated with historical flooding events. The findings indicate that the flood area is found to have increased substantially from 12.22% in 1995 to 15.66% in 2023. Moreover, flood depth was also raised, particularly in areas with urban and agricultural expansion.  The research emphasizes that land-use changes play a significant role in raising the flood risk and that GeoHECRAS can simulate the flood incidences. These results can be useful for the optimization of flood disaster management and prevention in the rapidly urbanizing areas. More robust flood risk management strategies could be developed if the effects of climate change were taken into account in future studies on flood risk modeling simulations.
Effect of Land Use and Land Cover Change on Inundation and Flood Loss Value in Lumajang District Regina Salsabila Athallah; Agus Suharyanto; Indradi Wijatmiko
Journal of Novel Engineering Science and Technology Vol. 5 No. 01 (2026): Journal of Novel Engineering Science and Technology
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jnest.v5i01.1281

Abstract

This study examines the relationship between land cover change and the extent of inundation and the value of economic losses due to flooding in Lumajang district in 1995, 2014, and 2023. Using a spatial approach based on satellite imagery and hydraulic simulation, as well as the ECLAC method in calculating losses, this study shows that the loss of natural land cover, such as forests and wetlands, as well as the expansion of residential areas, contributed significantly to the increase in inundation intensity and economic losses. These findings are important for spatial planning that is adaptive to hydrometeorological disaster risks. In addition, this research also supports the implementation of mitigation policies based on spatial and hydrological data that are appropriate to the conditions of the Jatiroto watershed.