IZZA, FADIA NURUL (2025) KOLERASI TINGKAT KERUSAKAN JALAN TERHADAP VOLUME LALU LINTAS DENGAN METODE PCI (PAVEMENT CONDITION INDEX) DAN BINA MARGA PADA RUAS JALAN RAYA LEGOK - KARAWACI KM 6 & KM 7 KABUPATEN TANGERANG. S1 thesis, Universitas Mercu Buana Jakarta.
|
Text (HAL COVER)
01 COVER.pdf Download (744kB) | Preview |
|
![[img]](https://repository.mercubuana.ac.id/style/images/fileicons/text.png) |
Text (BAB I)
02 BAB 1.pdf Restricted to Registered users only Download (252kB) |
|
|
Text (BAB II)
03 BAB 2.pdf Restricted to Registered users only Download (1MB) |
|
|
Text (BAB III)
04 BAB 3.pdf Restricted to Registered users only Download (456kB) |
|
|
Text (BAB IV)
05 BAB 4.pdf Restricted to Registered users only Download (830kB) |
|
|
Text (BAB V)
06 BAB 5.pdf Restricted to Registered users only Download (236kB) |
|
|
Text (DAFTAR PUSTAKA)
07 DAFTAR PUSTAKA.pdf Restricted to Registered users only Download (264kB) |
|
|
Text (LAMPIRAN)
08 LAMPIRAN.pdf Restricted to Registered users only Download (1MB) |
Abstract
Road damage greatly affects the high and low speed and density of traffic. The purpose of this study was to determine the level of road damage using the PCI method and analyze the correlation of damage (PCI value) to traffic density using multiple linear regression analysis with SPSS software. The study was conducted on the Legok – Karawaci Highway KM 6 & KM 7 Tangerang Regency along 1.6 km.. Road damage data and vehicle volume data were obtained by conducting a survey at the study location. The results obtained were on Legok - Karawaci Highway section KM 6 & KM 7 Tangerang Regency, the results of the PCI value analysis of damage on Legok - Karawaci Highway (South - North) with an average PCI result = 67,76 moderate (sufficient), Legok - Karawaci Highway (North - South) = 58,75 moderate (sufficient), Diklat Pemda Highway (West - East) = 66,62 moderate (sufficient), Diklat Pemda Highway (East - West) PCI = 65,43 moderate (sufficient). Meanwhile, when studied using The Bina Marga method values the road conditions on the Legok – Karawaci Highway (South – North) 3.38, the Legok – Karawaci Highway (North – South) 3.13, the Regional Government Education and Training Highway (West – East) 3.31, the Regional Government Education and Training Highway (East – West) 3.56. The prediction model of road surface conditions obtained is Y = 34.258 - 0.001 X1 + 0.012 X2 + 0.002 X3 + 34.258 with a regression coefficient (R) = 1 which means the correlation between variables is strong and in the same direction, and a determination coefficient (R2) of 1.000 which means that 100% of road pavement damage is influenced by variable X. Keywords: Volume, Traffic, Damage, Road, Prediction. Kerusakan jalan sangat berpengaruh terhadap tinggi rendahnya kecepatan dan kepadatan lalu lintas. Tujuan penelitian ini untuk mengetahui tingkat kerusakan jalan dengan metode PCI dari ASTM D 6433 serta menganalisa korelasi kerusakan dari (nilai PCI) terhadap kepadatan lalu lintas menggunakan analisis regresi linier berganda dengan software SPSS. Penelitian dilakukan di ruas Jalan Raya Legok – Karawaci KM 6 & KM 7 Kabupaten Tangerang sepanjang 1,6 km. Data kerusakan jalan dan data volume kendaraan diperoleh dengan melakukan survei di lokasi studi. Hasil yang diperoleh yaitu ruas Jalan Raya Legok – Karawaci KM 6 & KM 7 Kabupaten Tangerang mendapatkan hasil analisa nilai PCI kerusakan Jalan Raya Legok – Karawaci (Selatan – Utara) hasil rata – rata PCI = 67,76 sedang (fair), Jalan Raya Legok – Karawaci (Utara - Selatan) = 58,75 sedang (fair), Jalan Raya Diklat Pemda (Barat – Timur) = 66,62 sedang (fair) , Jalan Raya Diklat Pemda (Timur – Barat) PCI = 65,43 sedang (fair). Sementara itu ditinjau dengan Metode Bina Marga nilai kondisi jalan pada ruas Jalan Raya Legok – Karawaci (Selatan – Utara) 3,38, Jalan Raya Legok – Karawaci (Utara - Selatan) 3,13, Jalan Raya Diklat Pemda (Barat – Timur) 3,31, Jalan Raya Diklat Pemda (Timur – Barat) sebesar 3,56. Model prediksi kondisi permukaan jalan yang diperoleh adalah Y = 32,964 + 0.002 X1 + 0.005 X2 + 0.006 X3 + 32,964 dengan koefisien regresi (R) = 1 yang berarti korelasi antar variabel kuat dan searah, dan koefisien determinasi (R2 ) sebesar 1,000 yang berarti kerusakan 100 % kerusakan perkerasan dipengaruhi variabel X. Kata Kunci : Volume, Lalu Lintas, Kerusakan, Jalan, Prediksi
Actions (login required)
 |
View Item |
