Kala'padang, Sharon (2026) Analisis Pengaruh Resistivitas Tanah Dan Lalu Lintas Harian Rata-Rata Terhadap Pertambahan Luasan Kerusakan Perkerasan Jalan (Studi Kasus: Jalan Lingkar Timur, Kabupaten Sidoarjo). Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kerusakan perkerasan jalan dapat berkembang akibat akumulasi beban lalu lintas dan kondisi bawah permukaan yang memengaruhi kemampuan struktur dalam menerima beban. Penelitian ini bertujuan menganalisis pertambahan luas kerusakan perkerasan, karakteristik resistivitas bawah permukaan, beban lalu lintas dalam bentuk Equivalent Standard Axle pangkat lima (ESA5) dan Cumulative Equivalent Standard Axle pangkat lima (CESA5), serta hubungan tambahan beban lalu lintas kumulatif dan resistivitas dengan pertambahan luas kerusakan di Jalan Lingkar Timur, Kabupaten Sidoarjo. Pengamatan dilakukan pada 10 titik kerusakan selama empat minggu. Luas kerusakan diukur menggunakan metode grid, resistivitas diukur pada kedalaman 0,5 m dan 1 m menggunakan ADMT-100GT2, sedangkan data lalu lintas diperoleh dari rekaman CCTV selama tujuh hari. Pertambahan luas kerusakan (ΔA) dihitung terhadap luas kerusakan Minggu 1. Variabel ΔCESA5 merupakan selisih antara CESA5 kumulatif pada minggu pengamatan dan CESA5 kumulatif pada Minggu 1 sehingga merepresentasikan tambahan beban sumbu standar kumulatif selama periode monitoring. Simbol ρ menyatakan resistivitas terpilih dalam satuan Ωm, yaitu satu nilai resistivitas representatif dari kedalaman 0,5 m atau 1 m pada setiap observasi berdasarkan evaluasi kualitas dan kestabilan pembacaan. Setelah evaluasi kelengkapan dan keterbandingan data, pemodelan dilakukan terhadap 11 observasi dari enam titik menggunakan Multiple Linear Regression dengan metode Ordinary Least Squares. Hasil analisis menghasilkan persamaan (ΔA) = 122,757 + 95,163(ΔCESA5/100.000) - 13,221ρ. Model signifikan secara simultan dengan F = 22,757 dan p = 0,000499, serta menghasilkan R2 = 0,851dan adjusted R2 = 0,813. Setiap tambahan 100.000 ESA5 berkaitan dengan peningkatan rata-rata ΔA sebesar 95,163 cm² (p = 0,045), sedangkan setiap kenaikan ρ sebesar 1 Ωm berkaitan dengan penurunan rata-rata ΔA sebesar 13,221 cm² (p = 0,009), dengan variabel lainnya dianggap konstan. Sumbangan efektif ΔCESA5 dan ρ masing-masing sebesar 32,949% dan 52,102%. Hasil diagnostik secara umum tidak menunjukkan pelanggaran asumsi regresi yang signifikan, tetapi terdapat observasi berpengaruh dan potensi ketidakindependenan akibat pengamatan berulang. Oleh karena itu, hasil penelitian menunjukkan hubungan empiris pada dataset yang dianalisis dan belum dapat digeneralisasikan secara luas.
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Pavement damage may develop as a result of accumulated traffic loading and subsurface conditions that affect the pavement structure’s capacity to withstand repeated loads. This study aimed to analyse the increase in pavement damage area, subsurface resistivity characteristics, traffic loading expressed as fifth-power Equivalent Standard Axle (ESA5) and Cumulative Equivalent Standard Axle (CESA5), and the relationships of additional cumulative traffic loading and resistivity with the increase in pavement damage area along Jalan Lingkar Timur, Sidoarjo Regency, Indonesia. Observations were conducted at 10 pavement damage points over four consecutive weeks. The damage area was measured using a grid-counting method, subsurface resistivity at depths of 0.5 m and 1 m was measured using an ADMT-100GT2 instrument, and traffic data were obtained from seven consecutive days of CCTV recordings. The increase in damage area (ΔA) was calculated relative to the Week 1 damage area. The variable ΔCESA5 was defined as the difference between cumulative CESA5 in the observation week and cumulative CESA5 in Week 1, thereby representing the additional cumulative equivalent standard axle loading during the monitoring period. The symbol ρ denotes selected resistivity in Ωm, defined as one representative resistivity value from a depth of either 0.5 m or 1 m for each observation based on the evaluation of measurement quality and reading stability. Following an evaluation of data completeness and temporal comparability, the final modelling dataset consisted of 11 observations from six damage points and was analysed using Multiple Linear Regression estimated by Ordinary Least Squares. The resulting equation was (ΔA) = 122.757 + 95.163(ΔCESA5/100,000) - 13.221ρ. The overall model was statistically significant, with F = 22.757, p = 0.000499, R2 = 0.851, and adjusted R2 = 0.813. Holding resistivity constant, every additional 100,000 ESA5 was associated with an average increase of 95.163 cm² in the damage area (p = 0.045). Holding cumulative traffic loading constant, every 1 Ωm increase in ρwas associated with an average decrease of 13.221 cm² in the damage area (p = 0.009). The effective contributions of ΔCESA5 and ρ were 32.949% and 52.102%, respectively. The diagnostic results generally did not indicate significant violations of the regression assumptions; however, influential observations and potential dependence arising from repeated measurements were identified. Therefore, the findings represent empirical relationships within the analysed dataset and should not yet be broadly generalised.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | ADMT, CESA5, Kerusakan, LHR, MLR, Perkerasan, Resistivitas, ADMT, CESA5, Damage, MLR, Pavement, Resistivity, Traffic Loading. |
| Subjects: | T Technology > TE Highway engineering. Roads and pavements > TE250.P475 Pavements--Design and construction--Estimates. |
| Divisions: | Faculty of Civil Engineering and Planning > Civil Engineering > 22201-(S1) Undergraduate Thesis |
| Depositing User: | Sharon Kala` padang |
| Date Deposited: | 30 Jul 2026 04:39 |
| Last Modified: | 30 Jul 2026 04:39 |
| URI: | http://repository.its.ac.id/id/eprint/139890 |
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