The PREDIKSI KONDISI KERUSAKAN JALAN BERDASARKAN NILAI IRI MENGGUNAKAN APLIKASI ROADROID (Studi Kasus: Ruas Jalan Kelas III dengan Volume Lalu Lintas Rendah di Kabupaten Lumajang)
(Studi Kasus: Ruas Jalan Kelas III dengan Volume Lalu Lintas Rendah di Kabupaten Lumajang)
Abstract
This study aims to predict road damage conditions based on the International Roughness Index (IRI) value using the Roadroid application on class III roads with low traffic volume in Lumajang Regency. This study is important because the road section has not undergone maintenance since 2018, thus potentially experiencing accelerated degradation of pavement performance. IRI data for 2023 was obtained through a field survey using the Android-based Roadroid application and compared with IRI data for 2018 measured using the National Association of Australian State Road Authorities (NAASRA) tool to determine the rate of increase in damage and predict conditions for the next five years. The results showed that the average IRI value in 2023 was in the severely damaged category with a value between 12.5–20.5 m/km. The relationship model between IRI and Average Daily Traffic (ADR) of heavy vehicles produced the equation y = 0.2889x + 1.2993 (R² = 0.935), which indicates a significant effect of heavy vehicle volume on increasing road surface roughness. Predictive simulations indicate that several road segments are expected to reach a state of minor damage within the next 2–4 years, even with overlays. The novelty of this research lies in the integration of historical and survey data with the Roadroid application for predictive modeling of road damage on low-traffic sections as a basis for preventive maintenance planning.
References
Bina Marga. (2011). Survei Kondisi Jalan untuk Pemeliharaan Rutin.
Bina Marga. (2024). Manual Desain Perkerasan Jalan No. 03/M/BM/2024.
Mardianus. (2013). Studi Penanganan Jalan Berdasarkan Tingkat Kerusakan Perkerasan Jalan (Studi Kasus: Jalan Kuala Dua Kabupaten Kubu Raya). Jurnal teknik sipil untan, 13(1), 149–160.
Marjono, M., Burhamtoro, B., & Sasongko, R. (2022). Penilaian Kondisi Permukaan Jalan Menggunakan Aplikasi Roadroid pada Jalan Veteran - Bandung Kota Malang. Jurnal Manajemen Teknologi & Teknik Sipil, 5(2), 178.
Pangesti, R. D., Mahbub, J., & Rahmawati, R. (2021). Penilaian Kondisi Jalan Menggunakan Asphalt Paser (Pavement Surface Evaluation And Rating) Dan Iri (International Roughness Index) Roadroid. Bangun Rekaprima, 07(1), 36–44.
Septian, R. D. (2019). Perbandingan Penilaian Kondisi Kerusakan Jalan Berdasarkan Metode Iri (International Roughness Index) Dan Bina Marga Serta Alternatif Penanganannya. Universitas Jember.
Sugiharto, S., & Suwardo, S. (2004). Tingkat Kerataan Jalan Berdasarkan Alat Rolling Straight Edge Untuk Mengestimasi Kondisi Pelayanan Jalan (Psi Dan Rci). Simposium VII FSTPT, Universitas Katolik Parahyangan, 7, 1–9.
Syaripin, S. (2025). Perencanaan Ulang Tebal Perkerasan pada Perbaikan Jalan Batas Kota Cianjur-Citarum dengan MDP 2024. AGREGAT, 10(2), 1351–1357.
Syaripin, S., Hasanuddin, A., Sulistyono, S., & Lestari, S. (2025). Analisis Kondisi Kerusakan Jalan Menggunakan Metode Pavement Condition Index dan International Roughness Index Aplikasi Roadroid (Forum Studi Transportasi Antar Perguruan Tinggi (FSTPT), Ed.).
Undang-Undang. (2009). Undang-Undang RI No. 22 Tentang Lalu Lintas dan Angkutan Umum.
Widodo, A. D. (2018). Evaluasi Kondisi Perkerasan Dan Prediksi Sisa Umur Perkerasan Lentur Dengan Metode Pavement Condition Index, Bina Marga Dan Metode Mekanistik- Empirik Dengan Program Kenpave (Studi kasus Ruas Jalan Magelang – Yogyakarta Sta 11±000 – Sta 12±000) . Universitas Islam Indonesia
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