Pamungkas, Waskito Catur (2026) Pemodelan Permintaan Volume Kendaraan Untuk Perencanaan Rest Area Tol. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pulau Jawa memiliki tingkat mobilitas masyarakat yang sangat tinggi, sehingga keberadaan Jalan Tol Trans-Jawa dan Tempat Istirahat dan Pelayanan (TIP) atau rest area menjadi komponen penting dalam mendukung kenyamanan dan keselamatan pengguna jalan. Pemerintah melalui Permen PUPR No. 28 Tahun 2021 telah mengatur klasifikasi rest area tipe A, B, dan C beserta ketentuan luas minimum fasilitas. Namun, peraturan tersebut hanya memberikan luas fasilitas minimum tanpa mempertimbangkan kondisi arus ruas jalan di depan rest area dan perbedaan tipe rest area, sehingga pada waktu tertentu masih terjadi kepadatan yang berpotensi menurunkan fungsi rest area sebagai tempat istirahat yang aman. Penelitian ini bertujuan untuk menganalisis karakteristik pengunjung dalam memanfaatkan fasilitas rest area serta memodelkan proporsi kendaraan yang menggunakan rest area berdasarkan arus ruas jalan di depan rest area dan tipe rest area. Metode yang digunakan meliputi analisis deskriptif tingkat pemanfaatan fasilitas dan durasi penggunaan, serta pemodelan regresi linier berganda dengan variabel bebas arus ruas jalan di depan rest area (X1) dan tipe rest area (X2) dengan metode dummy untuk tipe rest area tipe A=1 dan tipe B=0. Hasil analisis menunjukkan bahwa fasilitas yang paling banyak dimanfaatkan adalah tempat makan sebesar 71%, diikuti tempat ibadah 56% dan toilet 52%, sedangkan kios memiliki tingkat pemanfaatan terendah (21%, serta SPBU pada rest area tipe A sebesar 26%. Sebagian besar pengunjung menggunakan fasilitas dalam durasi 15–30 menit sebesar 47,5% dan 31–45 menit sebesar 42,5%. Hasil pemodelan pada kondisi peak hour menunjukkan arus ruas jalan didepan rest area dan tipe rest area berpengaruh terhadap proporsi kendaraan yang menggunakan rest area, dengan persamaan
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Java Island has a very high level of mobility; therefore, the Trans-Java Toll Road and Rest and Service Areas (RSAs) play an important role in supporting the comfort and safety of road users. The Indonesian government, through Minister of Public Works and Housing Regulation No. 28 of 2021, classifies rest areas into Types A, B, and C and specifies minimum facility area requirements; however, the regulation does not consider traffic flow conditions on the road segments in front of rest areas or differences among rest area types, which can lead to congestion and reduce their function as safe resting places. This study aims to analyze visitor characteristics in utilizing rest area facilities and to model the proportion of vehicles using rest areas based on traffic flow in front of the rest area and rest area type. The methods include descriptive analysis of facility utilization levels and usage duration, as well as multiple linear regression modeling using traffic flow (X₁) and rest area type (X₂) as independent variables, with a dummy variable applied for rest area type Type A = 1 and Type B = 0). The results indicate that dining facilities are the most utilized 71%, followed by places of worship 56% and toilets 52%, while kiosks show the lowest utilization rate 21%, and fuel stations at Type A rest areas are used by 26% of visitors. Most users spend 15–30 minutes 47.5% or 31–45 minutes 42.5% at the rest areas. Peak-hour modeling shows that both traffic flow in front of the rest area and rest area type significantly influence the proportion of vehicles using rest areas, resulting in the equations Y = 0.578 − 0.001X₁ + 0.036X₂ for Class I vehicles and Y = 0.282 − 0.001X₁ + 0.13X₂ for Class II, III, IV, and V vehicles, which are applicable to Type A and Type B rest areas with traffic flow ranges of 462–888 vehicles/hour for passenger cars and 65–295 vehicles/hour for trucks.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Rest Area, Proporsi Kendaraan, Volume Lalu Lintas, Pemanfaatan Fasilitas, Regresi Linier Berganda. Rest Area, Vehicle Proportion, Traffic Volume, Facility Utilization, Multiple Linear Regression. |
| Subjects: | T Technology > TE Highway engineering. Roads and pavements > TE7 Transportation--Planning |
| Divisions: | Faculty of Civil Engineering and Planning > Civil Engineering > 22201-(S1) Undergraduate Thesis |
| Depositing User: | Waskito Catur Pamungkas |
| Date Deposited: | 27 Jan 2026 08:15 |
| Last Modified: | 27 Jan 2026 08:15 |
| URI: | http://repository.its.ac.id/id/eprint/130603 |
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