Aplikasi Metode PCI (Pavement Condition Index) Dalam Mengukur Tingkat Kerusakan Jalan dan Pengaruhnya Terhadap Kecepatan Kendaraan

S.N.  Ahmad; M.T.  Azikin; A.S.  Sukri; R.  Balaka

doi:10.22487/renstra.v1i2.25

Authors

S.N. Ahmad Jurusan Teknik Sipil, Fakultas Teknik Universitas Halu Oleo-Kendari, 93232 Sulawesi Tenggara
M.T. Azikin Jurusan Teknik Sipil, Fakultas Teknik Universitas Halu Oleo-Kendari, 93232 Sulawesi Tenggara
A.S. Sukri Jurusan Teknik Sipil, Fakultas Teknik Universitas Halu Oleo-Kendari, 93232 Sulawesi Tenggara
R. Balaka Jurusan Teknik Sipil, Fakultas Teknik Universitas Halu Oleo-Kendari, 93232 Sulawesi Tenggara

DOI:

https://doi.org/10.22487/renstra.v1i2.25

Keywords:

road damage, pavement condition index (PCI) value, regression model

Abstract

The existence of a smooth highway is needed to speed up the process of transporting people, goods and services and shortening the travel time. If the road is damaged, it will result in a decline in the economy in an area. In an effort to improve road performance, it is necessary to know the level of damage and the type of damage to the road. This study will discuss the existing conditions of Durian Anduonohu and Manunggal roads based on visual observations and analyzed using the Pavement Condition Index (PCI) method, specifically for measuring vehicle speed, the moving car observer method is used. The final result of this research is the level of damage and type of road damage on Durian Anduonohu road, quite severe with a PCI value ranging from 30-67 with an average damage of 39% meaning bad conditions, with the equation from the regression analysis the following regression model results are obtained: Y = (1,390)*(0.056) x which means that there is an effect of the level of damage to the road on the speed of the vehicle at each additional PCI value. Analysis of the level of damage and types of damage to the Manunggal road segment with PCI values ranging from 41-55 with an average damage of 42%, which means that the road damage is in moderate condition (Fair), with the equation of the regression analysis the following Regression model results are: Y=(1.356))(0.044) x which means that there is an effect of the level of damage to the road on the speed of the vehicle at each additional PCI value. This research is expected to be a barometer of the Kendari city government or related agencies in trying to overcome or repair the two roads so that the flow of people, goods and services runs smoothly and the economy of the city of Kendari can continue to increase.

Downloads

Download data is not yet available.

References

A. Fadly, “Evauasi Tingkat Kerusakan Permukaan Jalan Isimu-Paguyuman Berdasarkan Metode Pavement Condition Indeks (PCI)”, Posiding seminar ATPW, p. -, 2013.

Buchari, Rekayasa Lalu Lintas 1, Banda Aceh: Universitas Syiah Kuala, Universitas Syiah Kuala, 2002.

Direktorat Bina Teknik, Survei Kondisi Jalan Beraspal di Perkotaan, Direktorat Jenderal Tata Perkotaan dan Tata Pedesaan Jakarta: Departemen Pemukiman dan Prasarana Wilayah Jakarta, 2002.

H.C. Hardiatmo, Pemeliharaan Jalan Raya, Edisi Pertama, Yogyakarta: Gadjah Mada University Press, 2007.

I. Wirnanda, R. Anggraini, and M. Isya, “Analisis Tingkat Kerusakan Jalan dan Pengaruhnya terhadap Kecepatan Kendaraan (Studi Kasus jalan Blang Bintang Lama dan Jalan Teuku Hasan Dibakoi)”, Jurnal Tekni Sipil Universitas Syiah Kuala, vol. 1, no. 3, p. 617, 2018.

J. Nasir, Penggunaan Analisis Regresi Dalam Menentukan Pengaruh Variabel Bebas Terhadap Variabel Terikat dengan SPSS, Jakarta, 2019.

E.B. Margareth, Perbandingan Metode Bina Marga dan Metode PCI (Pavement Condition Indeks) Dalam Penilaian Kondisi Perkerasan, 2015.

M.Y. Shahin, Pavement Management For Airporrt Roads And Parking Lots, New York: Chamman & Hall, 1994.

Suwandi, Evaluasi Tingkat Kerusakan Jalan Dengan Metode PCI (Pavement Condition Indeks) Untuk Menunjang Pengambilan Keputusan (Studi Kasus : Jalan Lingkar Selatan Jogyakarta), Majalah Forum Teknik Sipil, no. 18, p. -, 2008.

S.N. Ahmad, Assessment Kriteria Kerentanan Geoteknis Kerusakan Jalan Berbasis Methode Analytical Hierarchy Process (AHP), Bandung: KNPTS ITB, 2016.

S.N. Ahmad, B. Mursidi, and M. Masdiana, “Assessment Karakteristik Kerusakan Lapis Permukaan Jalan Berbasis Metode Pavement Condition Indeks (PCI) (Studi Kasus : Jalan Kancil dan Jalan Belimbing Kota Kendari)”, Jurnal Stabilita, vol. 7, no. 2, p. 191, 2019.

U. Tho’atin, A. Setyawan, and Mamok Suprapto, “Penggunaan Metode International Roughness Index (IRI), Surface Distress Index (SDI) dan Pavement Condition Index (PCI) Untuk Penilaian Kondisi Jalan di Kabupaten Wonogiri”, Prosiding Seminar Nasional Sains dan Teknologi Fakultas Teknik Universitas Muhammadiyah Jakarta, p. 1, 2016.

S. Prasetia, Sukamto, and L. Surachman, “Perencanaan Perawatan Landas Pacu 11-29 dengan Menggunakan Metode PCI (Pavement Condition Index) di Bandar Udara Husein Sastranegara– Bandung”, Jurnal Ilmiah Aviasi Langit Biru, vol. 11, no.1, p. 74, 2017.

Sumarwan, S. Sunarjono, A. Riyanto, and N. Hidayati, “Development of Road Condition Database Based on Geographical Information System and Pavement Condition Index Method”, AIP Conference Proceedings, vol. 2114, 020004, 2019.

A. Juhara, D. Andariani, and L. Yunliana, “Evaluasi Fungsional Perkerasan Jalan Dengan Menggunakan Metode Pavement Condition Index (PCI) Studi Kasus Ruas Jalan Cihampelas -Bandung”, Jurnal Teknik - Media Pengembangan Ilmu dan Aplikasi Teknik, vol. 10, no. 2, p. 125, 2011.