CORRELATION STUDY BETWEEN THE VARIABLES OF PAVEMENT CONDITION INDEX (PCI), PRESENT SERVICEABILITY INDEX (PSI), AND SURFACE DISTRESS INDEX (SDI) OF JALAN SOEKARNO-HATTA, BANDUNG
The selection of the right form of road maintenance is carried out by evaluating the road surface conditions that can be obtained using measurements using the Pavement Condition Index (PCI), Present Serviceability Index (PSI), and Surface Distress Index (SDI) methods. Evaluation of the conditions...
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id-itb.:370832019-03-18T14:41:58ZCORRELATION STUDY BETWEEN THE VARIABLES OF PAVEMENT CONDITION INDEX (PCI), PRESENT SERVICEABILITY INDEX (PSI), AND SURFACE DISTRESS INDEX (SDI) OF JALAN SOEKARNO-HATTA, BANDUNG Nur, Wahyuddin Indonesia Theses Pavement Condition Index ,Present Servieceability Index , Surface Distress Index , parametric analysis, non-parametric analysis. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/37083 The selection of the right form of road maintenance is carried out by evaluating the road surface conditions that can be obtained using measurements using the Pavement Condition Index (PCI), Present Serviceability Index (PSI), and Surface Distress Index (SDI) methods. Evaluation of the conditions of Jalan Soekarno Hatta using the PCI method shows that the most found is the condition of "Good" both on rigid and flexible pavement, with the percentage of each of them being 61.9% and 21.6%. Whereas by using the PSI method, the most commonly found are "Fair" conditions both in rigid and flexible pavement, with the percentage of each being 81% and 48,9%. Using the SDI method on the flexible pavement most found is the condition of "Medium" with a percentage of 65,9%. The parametric analysis between PCI and PSI on rigid pavement produces R2 = 0.0064 with a regression equation namely PCI = 90.106 - 2.3506 x PSI, while PCI and PSI correlation on flexible pavement produces R2 = 0.1877 with regression equation namely PCI = 33,356 + 14,77 x PSI, and PCI and SDI correlations on flexible pavement yields R2 = 0,3502 with a regression equation namely PCI = 80,707 - 0,4056 x SDI. The non-parametric analysis between PCI and PSI on rigid pavement produces a correlation coefficient of 0.043, while the PCI and PSI values on flexible pavements produce a correlation coefficient of 0.397, and PCI and SDI values on flexible pavements produce a correlation coefficient of 0.492. Based on the two analysis methods both parametric and non parametric analysis the relationship between PCI and SDI was considered better than the PCI and PSI relationship because it produced a R2 value and a greater correlation coefficient. text |
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The selection of the right form of road maintenance is carried out by evaluating the
road surface conditions that can be obtained using measurements using the
Pavement Condition Index (PCI), Present Serviceability Index (PSI), and Surface
Distress Index (SDI) methods. Evaluation of the conditions of Jalan Soekarno Hatta
using the PCI method shows that the most found is the condition of "Good" both on
rigid and flexible pavement, with the percentage of each of them being 61.9% and
21.6%. Whereas by using the PSI method, the most commonly found are "Fair"
conditions both in rigid and flexible pavement, with the percentage of each being
81% and 48,9%. Using the SDI method on the flexible pavement most found is the
condition of "Medium" with a percentage of 65,9%.
The parametric analysis between PCI and PSI on rigid pavement produces R2 =
0.0064 with a regression equation namely PCI = 90.106 - 2.3506 x PSI, while PCI
and PSI correlation on flexible pavement produces R2 = 0.1877 with regression
equation namely PCI = 33,356 + 14,77 x PSI, and PCI and SDI correlations on
flexible pavement yields R2 = 0,3502 with a regression equation namely PCI =
80,707 - 0,4056 x SDI. The non-parametric analysis between PCI and PSI on rigid
pavement produces a correlation coefficient of 0.043, while the PCI and PSI values
on flexible pavements produce a correlation coefficient of 0.397, and PCI and SDI
values on flexible pavements produce a correlation coefficient of 0.492. Based on
the two analysis methods both parametric and non parametric analysis the
relationship between PCI and SDI was considered better than the PCI and PSI
relationship because it produced a R2 value and a greater correlation coefficient. |
format |
Theses |
author |
Nur, Wahyuddin |
spellingShingle |
Nur, Wahyuddin CORRELATION STUDY BETWEEN THE VARIABLES OF PAVEMENT CONDITION INDEX (PCI), PRESENT SERVICEABILITY INDEX (PSI), AND SURFACE DISTRESS INDEX (SDI) OF JALAN SOEKARNO-HATTA, BANDUNG |
author_facet |
Nur, Wahyuddin |
author_sort |
Nur, Wahyuddin |
title |
CORRELATION STUDY BETWEEN THE VARIABLES OF PAVEMENT CONDITION INDEX (PCI), PRESENT SERVICEABILITY INDEX (PSI), AND SURFACE DISTRESS INDEX (SDI) OF JALAN SOEKARNO-HATTA, BANDUNG |
title_short |
CORRELATION STUDY BETWEEN THE VARIABLES OF PAVEMENT CONDITION INDEX (PCI), PRESENT SERVICEABILITY INDEX (PSI), AND SURFACE DISTRESS INDEX (SDI) OF JALAN SOEKARNO-HATTA, BANDUNG |
title_full |
CORRELATION STUDY BETWEEN THE VARIABLES OF PAVEMENT CONDITION INDEX (PCI), PRESENT SERVICEABILITY INDEX (PSI), AND SURFACE DISTRESS INDEX (SDI) OF JALAN SOEKARNO-HATTA, BANDUNG |
title_fullStr |
CORRELATION STUDY BETWEEN THE VARIABLES OF PAVEMENT CONDITION INDEX (PCI), PRESENT SERVICEABILITY INDEX (PSI), AND SURFACE DISTRESS INDEX (SDI) OF JALAN SOEKARNO-HATTA, BANDUNG |
title_full_unstemmed |
CORRELATION STUDY BETWEEN THE VARIABLES OF PAVEMENT CONDITION INDEX (PCI), PRESENT SERVICEABILITY INDEX (PSI), AND SURFACE DISTRESS INDEX (SDI) OF JALAN SOEKARNO-HATTA, BANDUNG |
title_sort |
correlation study between the variables of pavement condition index (pci), present serviceability index (psi), and surface distress index (sdi) of jalan soekarno-hatta, bandung |
url |
https://digilib.itb.ac.id/gdl/view/37083 |
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