Yulisnawati Lawodi
Universitas Sintuwu Maroso

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Penilaian Kondisi Perkerasan Jalan Menggunakan Metode Bina Marga dan PCI untuk Menentukan Prioritas Penanganan Kerusakan David Bangguna; Yulisnawati Lawodi; Elce Bansambua; Henny Abulebu; Ebelhart Pandoyu
Jurnal Konstruksi Vol 24 No 1 (2026): Jurnal Konstruksi
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/konstruksi/v.24-1.2909

Abstract

The objective of this study is to analyze road damage using the Bina Marga and PCI (Pavement Condition Index) methods. Both empirical methods are applied because they are commonly used to assess road damage in Indonesia. Road damage analysis using the Bina Marga method is carried out through several stages, including determining road type and classification, classifying the type and severity of damage, evaluating road damage, and recommending appropriate maintenance actions. The PCI method involves determining the Total Deduct Value (TDV), calculating the corrected deduct value, determining the PCI value, and recommending the type of road repair. The results of the Bina Marga method recommend routine maintenance, while the PCI method suggests structural rehabilitation. Considering the existing road damage conditions, routine maintenance is selected as the appropriate treatment. In the following year, if monitoring and evaluation show that damage still occurs at the repaired location, road improvement in the form of overlay is recommended.
Analisis Integratif Metode Hindcasting dan Pengukuran Lapangan untuk Pemodelan Tinggi dan Periode Gelombang di Pantai Glagah David Bangguna; Irnovia Pakpahan; Marthen Tangkeallo; Henny Abulebu; Elce Bansambua; Yulisnawati Lawodi; Elizabeth Antameng; Sandi Zebua
MEDIA KOMUNIKASI TEKNIK SIPIL Volume 31, Nomor 2 (2025)
Publisher : Department of Civil Engineering, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/mkts.v31i2.74413

Abstract

The hindcasting method uses past wind data to estimate wave height (Hs) and wave period (Tp). The study aims to compare the wave height and period of the Sverdrup-Munk-Bretschneide (SMB), Finite Water Depth (FWD), and Joint North Sea Wave Project (JONSWAP) hindcasting methods with field measurement results. Wind data is sourced from NASA Prediction of Worldwide Energy Resources (POWER) Data Access Viewer (DAV) v2.4.9 for 2015-2024. The analysis results show that the wave height of the JONSWAP method is greater than the SMB and FWD methods. The wave height and period of the SMB and FWD methods have almost the same values. The difference between the three hindcasting methods is because the parameters used to calculate the wave height and period are different, the SMB method only uses the effective fetch length parameter (Feff), the FWD method uses the effective fetch parameter (Feff) and water depth (d), while the JONSWAP method uses the effective fetch parameter (Feff) and wind speed (UA). The wind speed (UA) parameter in the JONSWAP method has a very significant effect on wave height and period. For coastal structure planning, the JONSWAP method is more recommended, because the resulting wave height can function as a safety factor.