Model of Land Acquisition Productivity Performance for Toll Road Projects in Indonesia

Land acquisition process in the Indonesian toll road project has a high level of uncertainty. Several previous studies mainly discuss the risks involved in toll road projects and their mitigation measures, but the effect of existing risks on land acquisition scheduling is rarely reviewed. This resea...

Full description

Bibliographic Details
Main Authors: Kartika Nur Rahma Putri, Puti Farida Marzuki
Format: Article
Language:English
Published: Universitas Brawijaya 2020-10-01
Series:Civil and Environmental Science Journal
Subjects:
Online Access:https://civense.ub.ac.id/index.php/civense/article/view/65
id doaj-5619738c759348a48f3e6db23a77f448
record_format Article
spelling doaj-5619738c759348a48f3e6db23a77f4482021-02-26T08:31:43ZengUniversitas BrawijayaCivil and Environmental Science Journal2620-62182020-10-01328494https://doi.org/10.21776/ub.civense.2020.00302.3Model of Land Acquisition Productivity Performance for Toll Road Projects in IndonesiaKartika Nur Rahma Putri0https://orcid.org/0000-0003-2022-3474 Puti Farida Marzuki1Department of Civil and Environmental Engineering, Universitas Gadjah Mada, Yogyakarta, 55284, IndonesiaFaculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Bandung, 40132, IndonesiaLand acquisition process in the Indonesian toll road project has a high level of uncertainty. Several previous studies mainly discuss the risks involved in toll road projects and their mitigation measures, but the effect of existing risks on land acquisition scheduling is rarely reviewed. This research aims to develop a model for land acquisition productivity performance for toll road projects. The performance of productivity was modelled based on a predefined duration mentioned in Indonesian Act. No. 2/2012, compared to the actual duration from 6 toll road projects using montecarlo simulation. The validity of model was tested using the Section II of Cisumdawu Toll Road project. The simulation productivity result was 23.13 km/year, with a standard deviation of 6.704 km/year. Meanwhile, the actual productivity was 20.50 km/year, which was still within the range of the simulation's standard deviation. Hence, the models could reasonably describe the reality of the project. The most important activities that could affect land acquisition productivity performance were payment of compensation, the determination of compensation value, settlement of claims for the forms of compensation, and the identification and inventory of land ownership data.https://civense.ub.ac.id/index.php/civense/article/view/65risk modellingproductivity performanceland acquisitiontoll roadmonte carlo
collection DOAJ
language English
format Article
sources DOAJ
author Kartika Nur Rahma Putri
Puti Farida Marzuki
spellingShingle Kartika Nur Rahma Putri
Puti Farida Marzuki
Model of Land Acquisition Productivity Performance for Toll Road Projects in Indonesia
Civil and Environmental Science Journal
risk modelling
productivity performance
land acquisition
toll road
monte carlo
author_facet Kartika Nur Rahma Putri
Puti Farida Marzuki
author_sort Kartika Nur Rahma Putri
title Model of Land Acquisition Productivity Performance for Toll Road Projects in Indonesia
title_short Model of Land Acquisition Productivity Performance for Toll Road Projects in Indonesia
title_full Model of Land Acquisition Productivity Performance for Toll Road Projects in Indonesia
title_fullStr Model of Land Acquisition Productivity Performance for Toll Road Projects in Indonesia
title_full_unstemmed Model of Land Acquisition Productivity Performance for Toll Road Projects in Indonesia
title_sort model of land acquisition productivity performance for toll road projects in indonesia
publisher Universitas Brawijaya
series Civil and Environmental Science Journal
issn 2620-6218
publishDate 2020-10-01
description Land acquisition process in the Indonesian toll road project has a high level of uncertainty. Several previous studies mainly discuss the risks involved in toll road projects and their mitigation measures, but the effect of existing risks on land acquisition scheduling is rarely reviewed. This research aims to develop a model for land acquisition productivity performance for toll road projects. The performance of productivity was modelled based on a predefined duration mentioned in Indonesian Act. No. 2/2012, compared to the actual duration from 6 toll road projects using montecarlo simulation. The validity of model was tested using the Section II of Cisumdawu Toll Road project. The simulation productivity result was 23.13 km/year, with a standard deviation of 6.704 km/year. Meanwhile, the actual productivity was 20.50 km/year, which was still within the range of the simulation's standard deviation. Hence, the models could reasonably describe the reality of the project. The most important activities that could affect land acquisition productivity performance were payment of compensation, the determination of compensation value, settlement of claims for the forms of compensation, and the identification and inventory of land ownership data.
topic risk modelling
productivity performance
land acquisition
toll road
monte carlo
url https://civense.ub.ac.id/index.php/civense/article/view/65
work_keys_str_mv AT kartikanurrahmaputri modeloflandacquisitionproductivityperformancefortollroadprojectsinindonesia
AT putifaridamarzuki modeloflandacquisitionproductivityperformancefortollroadprojectsinindonesia
_version_ 1724249670824230912