DOI : 10.17577/IJERTV14IS060151
- Open Access
- Authors : Baruna Aulya R, Hanie Teki Tjendani, R.A Retno Hastijanti
- Paper ID : IJERTV14IS060151
- Volume & Issue : Volume 14, Issue 06 (June 2025)
- Published (First Online): 28-06-2025
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License:
This work is licensed under a Creative Commons Attribution 4.0 International License
Overlay Planning and Budget Estimation for the KartiniKH. Ahmad Dahlan Road Segment in Batam City
|
Baruna Aulya R Departement of Civil Engineering 17 Agustus 1945 University |
|
Hanie Teki Tjendani Departement of Civil Engineering 17 Agustus 1945 University |
|
R.A Retno Hastijanti Departement of Civil Engineering 17 Agustus 1945 University |
AbstractRoad damage occurring across various regions has become a complex issue, resulting in significant lossesparticularly for road users. These impacts include increased travel times, traffic congestion, higher risk of road accidents, and other related problems. The determination of the additional overlay thickness for the KartiniKH. Ahmad Dahlan road segment was carried out by calculating the CESA4 and CESA5 values, which were then multiplied by a traffic multiplier. Based on this analysis, the minimum required overlay thickness was determined to be 4 cm. Based on the design and evaluation results, the budget estimation for the KartiniKH. Ahmad Dahlan road segment (Sta. 00+000 to 02+000) amounted to Rp. 4,294,713,000.
KeywordsOverlay, budget, road
-
INTRODUCTION
The KartiniKH. Ahmad Dahlan road segment frequently experiences surface cracking and potholes, primarily due to the passage of heavy vehicles such as private cars, buses, two-axle trucks, and three-axle trucks. The continuous annual increase in average daily traffic has contributed to excessive loading on the road structure. In addition to traffic-induced stress, prolonged waterlogging during the rainy seasoncaused by inadequate drainage systemshas further accelerated damage to the flexible pavement layer, resulting in repeated surface deterioration.
Road damage occurring in various regions today represents a complex problem that results in significant losses, especially for road userssuch as increased travel time, congestion, and traffic
accidents. The initial step in addressing such damage is conducting a road condition survey. Accurate condition assessments are essential to ensure appropriate and effective maintenance strategies. On the KartiniKH. Ahmad Dahlan road segment, the predominant types of damage observed are cracking and numerous potholes across multiple segments. Considering the current road conditions, this study aims to determine the required overlay thickness and develop a cost estimate for the KartiniKH. Ahmad Dahlan road segment. The condition of the road segment can be observed in the following figure.
Figure 1.1 Condition of road
Road maintenance planning must be conducted thoroughly and in detail, taking into account the existing damage in order to achieve economic efficiency, ensure road user safety, and maintain the required pavement thickness quality.
-
THEORETICAL FRAMEWORK
-
Design life
In determining the design life, it is essential to consider the road capacity to accurately establish the design life to be used in pavement planning.
C = CO X FCLJ x FCPA X FCHS
-
Traffic Growth Factor
The traffic growth factor is derived from time-series growth data through a formulation that correlates with other applicable growth factors.
R = (1+0,01 )1
0,01
-
Cumulative Equivalent Single Axle Load (Cumulative ESAL)
The Cumulative Equivalent Single Axle Load (CESAL) refers to the total cumulative design axle loads acting on the design lane throughout the specified design life. The calculation utilizes the Vehicle Damage Factor (VDF) corresponding to each category of commercial vehicles
ESATH-1 = (LHRJK x VDFJK) x 365 x DD x DL x R
-
Traffic Multiplier (TM)
The Traffic Multiplier (TM) for asphalt layers under overloaded traffic conditions in Indonesia typically ranges from 1.8 to 2. In flexible pavement design, the Traffic Multiplier must be applied to obtain the adjusted Cumulative Equivalent Single Axle Load for 5-year design traffic (CESA5)
CESA5 = (TMx CESA4)
-
Dynamic Cone Penetrasion Tes
This test is intended to determine the California Bearing Ratio (CBR) value of the subgrade soil. However, the Dynamic Cone Penetrometer (DCP) cannot be used on hard materials such as hotmix asphalt or rock, as this may damage the penetration cone
-
Design of Flexible Pavement Foundation Pavement foundation design is a critical requirement to ensure high-performing pavement structures. A normal subgrade is generally defined as a subgrade with an in-situ CBR value greater than 2.5%, including areas composed of embankments, excavations, and natural ground surfaces.
-
Budget Estimation
The Budget Estimation is a calculation or estimate of the total financial cost required to complete a construction project.
Budget = (Volume x Unit Price)
-
-
METHODOLOGY
-
Flowchart
The type of research employed in this study is quantitative research. This method
Figure 3.1 Flowchart
involves the collection of statistical data for analysis, which can be presented in the form of graphs, charts, tables, and hypothesis testing.
-
-
RESULTS
-
Traffic Growth Analysis
According to the Indonesian Road Capacity Guidelines 2023, the conversion from light vehicle units per day (skr/day) to skr/hour is performed by multiplying with a K factor of 0.08. The following is the calculation of light vehicle units based on the 2025 daily traffic volume
Table 4.1. Vehicle Unit Calculation Table for Average Daily Traffic in 2025
No
Vihecles
LHRT 2025
(kend/hr)
ekr
LHRT x
ekr (skr/hr)
Faktor K
LHRT x K
(skr/hr)
1
Motorcycle
763
0.50
382
0.08
31
2
Car
400
1.00
400
0.08
32
4
Two-Axle
Light Truck
92
1.30
119
0.08
10
5
Two-Axle Medium Truck
11
1.30
14
0.08
1
Total
1265.5
914.75
73.18
Source: Researchers Own Analysis, 2025
Table 4.2. LHR-JK 5Th
No
Vihecles
LHRTK 2025
5 Th
R
LHR-JK
1
Motorcycle
31
5.0
183
2
Car
32
5.0
192
4
TwoAxle Light Truck
10
5.0
57
5
Two-Axle Medium Truck
1
5.0
7
Total
73
439
Source: Researchers Own Analysis, 2025
-
Comulatif Equivalent Single Axle (CES4) The Cumulative Equivalent Single Axle Load (CESA) result was derived based on the following analysis:
Table 4.3. CESA4
-
Determining the Pavement Structure
Based on the selected pavement structure, the proposed solution involves the use of Asphalt Concrete (AC) in combination with Granular Base Course
Table 4.5. Flexible Pavement Design Asphalt with Granular Base Course
Source: Researchers Own Analysis, 2025
Based on the table above, the pavement layer thickness derived from the CESA5 calculation is as follows:
Gol
Jenis Kendaraan
Konf Sumbu
LHRJK
VDFJK
DD
DL
R
ESA
1
Motorcycle
183
0
0.5
1
5.0
–
2
Car
1.1
192
0
0.5
1
5.0
–
6a
Two-Axle Light Truck
1.1
57
0.55
0.5
1
5.0
28,692
6b
Two-Axle Medium Truck
1.2
7
4
0.5
1
5.0
25,086
Total
439
CESA4
53,778
1.AC-WC =40mm
Source: Researchers Own Analysis, 2025
-
-
Traffic Multiper (TM)
The traffic multiplier (TM) for asphalt layers in Indonesia ranges from 1.8 to 2.0; therefore, the average value of 1.9 is adopted for the calculation.
Table 4.4. CESA5
Gol
Jenis Kendaraan
Konf Sumbu
CESA4
TM
CESA 5
1
Motorcycle
0
1.9
–
2
Car
1.1
0
1.9
–
6a
Two-Axle Light Truck
1.1
28692
1.9
54,515
6b
Two-Axle Medium Truck
1.2
25086
1.9
47,663
Total
3,777.63
102,177
Source: Researchers Own Analysis, 2025
-
California Bearing Ratio (CBR)
Determining the field CBR test points to be used in calculating the segmental CBR value
The CBR segment value was obtained by drawing a line from the 90% CBR design level until it intersected the graph curve, then projecting it downward. As a result, the segmental CBR value was determined to be 10.5%.
2.AC-BC =60mm
3.Class A (LPA) =150 mm.
-
Overlay
Traffic loads have a significant impact on pavement condition, resulting in up to a 40% reduction in asphalt pavement performance. Therefore, an overlay design is required for the existing pavement structure, consisting of an Asphalt Concrete Wearing Course (AC-WC) of 4 cm, an Asphalt Concrete Binder Course (AC-BC) of 6 cm, and a Granular Base Layer (Class A Aggregate) of 15 cm.
ITP = a1 x D1 + a1 x D2 + a2 x D3 ITP = 0,40 x 4 + 0,35 x 6 + 0,13 x 15
1. ITPbalance AC-WC
= 60% x 4 x 0,40
= 0,96
2. ITPbalance AC-BC
= 100% x 6 x 0,35
= 2,1
3. ITPbalance LPA
= 100% x 15 x 0,13
= 1.95
ITPsisa
= 5
ITP = 5.65
+
Sehingga ITPneed = ITPnew- ITPbalance
= 5.65 5
= 0,65
Thus, the pavement layer thickness is as follows: ITP = a1 x D1
0,65 = 0,40 x D1 D1 = 0,65/0,40
D1 = 1,6 ~ 4 cm (Minimum )
-
Budget Estimation
Based on the research conducted on the KartiniKH. Ahmad Dahlan road segment STA 00+000 05+000, the following budget estimate has been determined:
No
STA
Budget
Start
Finish
1
00+000
00+200
Rp 239,408,962.98
2
00+200
00+400
Rp 239,460,151.70
3
00+400
00+600
Rp 239,469,170.47
4
00+800
01+000
Rp 239,463,081.11
5
01+000
01+200
Rp 239,896,375.50
6
01+200
01+400
Rp 239,814,866.45
7
01+600
01+800
Rp 239,907,595.46
8
01+800
02+000
Rp 239,460,925.59
9
02+000
02+200
Rp 239,653,148.32
10
02+200
02+400
Rp 239,431,937.08
11
02+400
02+600
Rp 239,563,624.76
12
02+600
02+800
Rp 239,461,482.81
13
02+800
03+000
Rp 240,021,442.55
14
03+000
03+200
Rp 240,643,588.80
15
04+000
04+200
Rp 239,387,253.99
16
04+800
05+000
Rp 239,521,449.06
TOTAL BUDGET
Rp 3,834,565,056.63
PPN 12%
Rp 460,147,806.80
TOTAL BUDGET + PPN 12%
Rp 4,294,712,863.42
ROUNDED
Rp 4,294,713,000.00
Table 4.5. Budger Estimation
Source: Researchers Own Analysis, 2025
Based on the table above, the estimated project cost for the KartiniKH. Ahmad Dahlan road segment STA 00+000 05+000 is IDR 4,294,713,000.00
-
-
-
CONCLUSION
Based on the data analysis and in accordance with the research questions, the following conclusions were drawn:
-
The overlay design for the KartiniKH. Ahmad Dahlan road segment resulted in a flexible pavement thickness of 4 cm forthe Asphalt Concrete Wearing Course (AC-WC).
-
The maintenance cost estimate for the KartiniKH. Ahmad Dahlan road segment amounts to IDR 4,294,713,000
-
-
REFERENCES
Anonim. 2022. Undang-Undang Republik Indonesia Nomor 2 Tahun 2022 Tentang Jalan. Pemerintah Republik Indonesia. Jakarta.
Anonim. 2022. Peraturan Mentri Dan Pekerjaan Umum Dan Perumahan Rakyat Nomer 1 Tahun 2022 Tentang Pedoman Penyusunan Perkiraan Biaya Pekerjaan Konstruksi Bidang Pekerjaan Umum Dan Perumahan Rakyat. Permen PUPR No 1 Tahun 2022
Anonim. (2016) Pedoman Indeks Kondisi Perkerasan. Kementrian Pekerjaan Umum Perumahan Rakyat.
Anonim. (2024) Manual Desain Perkerasan Jalan. Kementrian Pekerjaan Umum Perumahan Rakyat
Anonim. (2023) Pedoman Kapasitas Jalan Indonesia. Kementrian Pekerjaan Umum Perumahan Rakyat
Direktorat Jendral Bina Marga Kementrian Pekerjaan Umum dan Perumahan Rakyat. 2011. Indonesia Integrated Road Management System (IIRMS). No. SMD-03/RC, Panduan Survei Kondisi Jalan, Kementrian Pekerjaan Umum, Diktoriat Jendral Bina Marga.
Gusnilawati, A. Chrisnawati, Y. W. P. M. (2021). Analisis Penilaian Faktor Kerusakan Jalan Dengan Perbandingan Metode Bina Marga, Metode PCI (Pavement Condition Index), Dan Metode Sdi (Surface Distress Index). 15(2), 123.
Hardiyatmo, H. C., 2015. Pemeliharaan Jalan Raya Edisi Kedua. Gadjah Mada Univercity Press. Yogyakarta
Ibrahim, R., & Sultan, M. A. (2023). Evaluasi Dan Penanganan Kerusakan Jalan Menggunakan Metode Surface Distress Index Pada Ruas Jalan Ahmad Malawat Kota Tidore Kepulauan Ahmad Malawat. Faktor-faktor. 13(1), 127138.
Labaso, E. R., Ishak, M. S., & Kasan, M. (2022). Evaluasi Kerusakan Jalan Menggunakan Metode Pavement Condition Index (PCI) dan Surface Distress Iindex (SDI) Penelitian Kasus Jalan Pue BongoKota Palu. : Civil Engineering Journal,6774. https://new.jurnal.untad.ac.id/index.php/renstra/article/ download/428/137/1228
Lulu, L. (2003). Rencana Anggaran Biaya. Kupang: Fakultas Teknik Univeritas Katolik Widya Mandira.
Mubarak, H. 2016. Analisa Tingkat Kerusakan Perkerasan Jalan Dengan Metode Pavement Condition Index ( PCI ) Penelitian Kasus : Jalan Soekarno Hatta Sta. 11 + 150 Analisis Tingkat Kerusakan Perkerasan Jalan ( Husni Mubarak ). Fakultas Teknik Universitas Abdurrab, 16(April), 94109.
Nainggolan dkk, 2022 Analisis Kondisi Jalan Dan Penangannya Menggunakan Metode Bina Marga Studi Kasus Jaringan Jalan Di Kabupaten Flores Timur
Prasetyo dkk., 2021 Analisis Penilaian Kondisi Kerusakan Jalan Dengan Metode International Roughness Index (Iri) Dan Pavement Condition Index (Pci) Pada Ruas Jalan Panglima Sudirman Kabupaten Tuban
Riana, 2019 Analisis Kondisi Permukaan Perkerasan Jalan Pada Jalan Lemahneundeut Dengan Metode Pci Dan Rci
Salsabilla, N., Nusa, S., & Eding, I. (2020). Analisis Penanganan Kerusakan Jalan Dengan Menggunakan Metode Bina Marga Dan PCI (Pavement Condition Index ). Jurnal Sondir, 1, 3444.
Yastawan, I. N., Wedagama, D. M. P., & Ariawan, I. M. A. (2021). Penilaian Kondisi Jalan Menggunakan Metode Sdi (Surface Distress Index) Dan Inventarisasi Dalam Gis (Geographic Information System) Di Kabupaten Klungkung. Jurnal Spektran, 9(2), 181. https://doi.org/10.24843/spektran. 2021.v09.i02.p10.
