EVALUASI KONDISI KERUSAKAN JALAN DENGAN METODE PAVEMENT CONDITION INDEX (PCI) DAN SURFACE DISTRESS INDEX (SDI) BERBASIS VISUALISASI GIS (STUDI KASUS JALAN BOULEVARD GRAHA RAYA)

SETIANA, BAYU (2026) EVALUASI KONDISI KERUSAKAN JALAN DENGAN METODE PAVEMENT CONDITION INDEX (PCI) DAN SURFACE DISTRESS INDEX (SDI) BERBASIS VISUALISASI GIS (STUDI KASUS JALAN BOULEVARD GRAHA RAYA). S1 thesis, Universitas Mercu Buana Jakarta.

[img]
Preview
 Text (HAL COVER)
HAL COVER.pdf
Download (858kB) | Preview
[img] Text (BAB I)
BAB I.pdf
Restricted to Registered users only
Download (172kB)
[img] Text (BAB II)
BAB II.pdf
Restricted to Registered users only
Download (1MB)
[img] Text (BAB III)
BAB III.pdf
Restricted to Registered users only
Download (324kB)
[img] Text (BAB IV)
BAB IV.pdf
Restricted to Registered users only
Download (1MB)
[img] Text (BAB V)
BAB V.pdf
Restricted to Registered users only
Download (140kB)
[img] Text (DAFTAR PUSTAKA)
DAFTAR PUSTAKA.pdf
Restricted to Registered users only
Download (96kB)
[img] Text (LAMPIRAN)
LAMPIRAN.pdf
Restricted to Registered users only
Download (2MB)

Abstract

This study aims to determine the types and severity levels of road distresses, and subsequently provide suitable maintenance recommendations to restore the road to functionally viable conditions, while utilizing GIS visualization to clarify the distribution of road distresses along the Boulevard Graha Raya road section. The variables examined in this study include the types and characteristics of road surface distresses. The research was conducted using a 2 km road sample divided into two lanes: the lane toward Alam Sutera and the lane toward Ciledug. The evaluation was structured into sample units consisting of 20 segments for each lane, resulting in a total of 40 segments, with each segment dimension measuring 100 m. The data analysis methods applied were the Pavement Condition Index (PCI) and the Surface Distress Index (SDI) methods, which were then integrated using a Geographic Information System (GIS) for spatial mapping visualization. The results showed that the average PCI value for the lane toward Alam Sutera was 84.4, which falls into the "very good" category, and 86.4 for the lane toward Ciledug, which falls into the "excellent" category. Meanwhile, the average SDI value for the lane toward Alam Sutera was 5.75, classifying it as "excellent", and 5.55 for the lane toward Ciledug, also classifying it as "excellent". The suitable maintenance recommendation for the average road conditions surveyed in each lane is routine maintenance. However, the GIS visualization identified that the critical distribution of dominant distresses occurred on the lane toward Alam Sutera in segment 10 (STA 0+900 - 1+000), with a PCI value of 18, which falls into the "very poor" category. Keywords: Pavement Condition Index (PCI), Surface Distress Index (SDI), Geographic Information System (GIS), Pavement Distress, Boulevard Graha Raya. Penelitian ini bertujuan untuk mengetahui jenis kerusakan, tingkat kerusakan, kemudian memberikan rekomendasi pemeliharaan yang cocok, sehingga jalan kembali ke kondisi yang layak secara fungsional serta memberikan visualisasi GIS untuk memperjelas sebaran kerusakan jalan yang terjadi pada ruas jalan Boulevard Graha Raya. Variabel yang diteliti dalam penelitian ini meliputi jenis dan karakteristik kerusakan permukaan jalan. Penelitian dilakukan dengan sampel jalan sepanjang 2km dengan jalur yang terbagi yaitu jalur arah Alam Sutera dan jalur arah Ciledug. Pengujian dibagi menjadi unit sampel sebanyak 20 segmen untuk setiap jalur, sehingga total memiliki 40 segmen, dengan dimensi masing-masing segmen sebesar 100m. Metode analisis data yang diterapkan adalah metode Pavement Condition Index (PCI) dan metode Surface Distress Index (SDI), yang kemudian diintegrasikan menggunakan Sistem Informasi Geografis (GIS) untuk visualisasi pemetaan spasial. Hasil penelitian menunjukkan bahwa nilai rata-rata PCI pada ruas jalan arah Alam Sutera sebesar 84.4 yang termasuk dalam kategori “sangat baik” dan untuk arah Ciledug sebesar 86.4 yang termasuk dalam kategori “sempurna”, sedangkan nilai rata-rata SDI pada ruas jalan arah Alam Sutera sebesar 5.75 yang termasuk dalam kategori “sempurna” dan untuk arah Ciledug sebesar 5.55 yang termasuk dalam kategori “sempurna”. Rekomendasi pemeliharaan yang cocok untuk rata-rata kondisi jalan yang telah disurvey pada setiap jalur adalah pemeliharaan rutin. Visualisasi GIS mengidentifikasikan sebaran titik kritis kerusakan dominan yang terjadi pada jalur arah Alam Sutera di segmen 10 (STA 0+900 - 1+000) dengan nilai PCI sebesar 18 yang termasuk dalam kategori “sangat buruk”. Kata Kunci: Pavement Condition Index (PCI), Surface Distress Index (SDI), Sistem Informasi Geografis (GIS), Kerusakan Jalan, Boulevard Graha Raya.

Item Type: Thesis (S1)
NIM/NIDN Creators: 41122110062
Uncontrolled Keywords: Pavement Condition Index (PCI), Surface Distress Index (SDI), Sistem Informasi Geografis (GIS), Kerusakan Jalan, Boulevard Graha Raya.
Subjects: 300 Social Science/Ilmu-ilmu Sosial > 380 Commerce, Communications, Transportation (Perdagangan, Komunikasi, Transportasi) > 388 Ground Transportation/Transportasi Jalan Raya > 388.1 Roads/Jalan
600 Technology/Teknologi > 620 Engineering and Applied Operations/Ilmu Teknik dan operasi Terapan > 624 Civil Engineering/Teknik Sipil
Divisions: Fakultas Teknik > Teknik Sipil
Depositing User: khalimah
Date Deposited: 21 Sep 2026 14:10
Last Modified: 21 Sep 2026 14:10
URI: http://repository.mercubuana.ac.id/id/eprint/104016

Actions (login required)

View Item View Item
UMB Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.