FAIZ, CHIKO AHNAF FAIRUZ (2026) "ANALISIS PENGARUH KONDISI PERKERASAN JALAN BERDASARKAN METODE PAVEMENT CONDITION INDEX (PCI) TERHADAP KINERJA RUAS JALAN BERDASARKAN PKJI 2023 (STUDI KASUS: JALAN HOS Cokroaminoto - Halte Puri Beta)". S1 thesis, Universitas Mercu Buana Jakarta.
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Abstract
This study aims to analyze pavement conditions using the Pavement Condition Index (PCI) method, evaluate vehicle speed characteristics based on the Indonesian Highway Capacity Guidelines (PKJI) 2023, and examine the effect of pavement conditions on vehicle speed along Jalan HOS Cokroaminoto–Puri Beta Bus Stop. The independent variable in this study is pavement condition represented by the PCI value, while the dependent variable is the average vehicle speed. A quantitative approach was employed using purposive sampling on nine road segment sample units covering STA 0+000 to STA 0+900. Primary data were collected through visual pavement condition surveys and field measurements of vehicle speed. Data analysis was conducted using the PCI method, traffic performance analysis based on PKJI 2023, and simple linear regression analysis to determine the magnitude of the effect of pavement condition on vehicle speed. The results indicate that ten types of pavement distress were identified at the study location, namely alligator cracking, longitudinal and transverse cracking, block cracking, slippage cracking, bleeding, rutting, bumps and sags, weathering/raveling, patching, and potholes. PCI values across the nine segments ranged from 15 to 95, with an average value of 50.56, which falls into the poor category. The average vehicle speed varied among segments, with the lowest speed recorded at 7.66 km/h and the highest at 16.47 km/h. The simple linear regression analysis produced the equation Y = 10.134 + 0.160X, with a correlation coefficient (R) of 0.988 and a coefficient of determination (R²) of 0.976. These findings indicate a very strong and positive relationship between pavement condition and vehicle speed, where 97.6% of the variation in vehicle speed can be explained by changes in PCI values. Therefore, improving pavement conditions is an essential measure to enhance traffic performance, driving comfort, and road user safety on the studied road segment. Keywords: Pavement Condition Index (PCI), PKJI 2023, pavement condition, vehicle speed, simple linear regression. Penelitian ini bertujuan untuk menganalisis kondisi perkerasan jalan menggunakan metode Pavement Condition Index (PCI), mengevaluasi karakteristik kecepatan kendaraan berdasarkan Pedoman Kapasitas Jalan Indonesia (PKJI) 2023, serta menganalisis pengaruh kondisi perkerasan terhadap kecepatan kendaraan pada ruas Jalan HOS Cokroaminoto–Halte Puri Beta. Variabel bebas dalam penelitian ini adalah kondisi perkerasan jalan yang dinyatakan dengan nilai PCI, sedangkan variabel terikat adalah kecepatan rata-rata kendaraan. Penelitian menggunakan pendekatan kuantitatif dengan teknik purposive sampling pada 9 unit sampel segmen jalan sepanjang STA 0+000 hingga STA 0+900. Data primer diperoleh melalui survei visual kondisi perkerasan dan pengukuran kecepatan kendaraan di lapangan. Analisis data dilakukan menggunakan metode PCI, analisis kinerja lalu lintas berdasarkan PKJI 2023, serta analisis regresi linier sederhana untuk mengetahui besarnya pengaruh kondisi perkerasan terhadap kecepatan kendaraan. Hasil penelitian menunjukkan bahwa terdapat sepuluh jenis kerusakan perkerasan yang ditemukan pada lokasi penelitian, yaitu retak kulit buaya, retak memanjang dan melintang, retak blok, retak geser, kegemukan aspal, alur roda, tonjolan dan cekungan, pelepasan butir/pelapukan, tambalan, dan lubang. Nilai PCI pada sembilan segmen berkisar antara 15–95 dengan rata-rata sebesar 50,56 yang termasuk kategori buruk. Kecepatan rata-rata kendaraan menunjukkan variasi antarsegmen, dengan nilai terendah 7,66 km/jam dan tertinggi 16,47 km/jam. Hasil analisis regresi linier sederhana menghasilkan persamaan Y = 10,134 + 0,160X dengan koefisien korelasi (R) sebesar 0,988 dan koefisien determinasi (R²) sebesar 0,976. Hasil tersebut menunjukkan bahwa kondisi perkerasan jalan memiliki hubungan yang sangat kuat dan searah terhadap kecepatan kendaraan, di mana 97,6% variasi kecepatan kendaraan dapat dijelaskan oleh perubahan nilai PCI. Dengan demikian, perbaikan kondisi perkerasan jalan merupakan upaya penting untuk meningkatkan kinerja lalu lintas, kenyamanan, dan keselamatan pengguna jalan pada ruas yang diteliti. Kata Kunci: Pavement Condition Index (PCI), PKJI 2023, kondisi perkerasan jalan, kecepatan kendaraan, regresi linier sederhana.
| Item Type: | Thesis (S1) |
|---|---|
| NIM/NIDN Creators: | 41122010018 |
| Uncontrolled Keywords: | Pavement Condition Index (PCI), PKJI 2023, kondisi perkerasan jalan, kecepatan kendaraan, regresi linier sederhana. |
| Subjects: | 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 624 Civil Engineering/Teknik Sipil 600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 625 Engineering Of Railroads, Roads/Rekayasa Rel Kereta Api, Jalan > 625.7 Road Engineering/Teknik Jalan Raya |
| Divisions: | Fakultas Teknik > Teknik Sipil |
| Depositing User: | khalimah |
| Date Deposited: | 25 Sep 2026 11:25 |
| Last Modified: | 25 Sep 2026 11:25 |
| URI: | http://repository.mercubuana.ac.id/id/eprint/104115 |
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