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PERBANDINGAN KUAT TEKAN BETON DENGAN PASIR DICUCI DAN TIDAK DICUCI Panca Rizki Hartanto; Intan Safitri; Tekad; Widiya Astuti Alam Sur; Rio Nugroho
Jurnal Rekayasa Konstruksi Vol. 2 No. 1 (2023): Jurnal Rekayasa Konstruksi (Mei)
Publisher : Pusat Penelitian dan Pengabdian Kepada Kepada Masyarakat Politeknik Negeri Tanah Laut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34128/jrk.v1i2.1

Abstract

Sifat lumpur beton dapat mengurangi kekuatan. Kadar lumpur pasir dicuci turun sebesar 2,9 persen setelah diperiksa. Oleh karena itu, pasir yang telah dicuci memenuhi standar kadar lumpur yang diizinkan. Bahan yang diperlukan: Sampel silinder pasir yang dicuci dan tidak dicuci dari JMF mutu beton rencana K-250 dengan umur 21 hari. Untuk 1 m3 diperlukan 430,23 kg semen, 633,59 kg pasir, 1.151,18 kg kerikil, dan 185 liter air. Pasir dicuci memiliki kekuatan tekan 273,67 kg/cm2, sedangkan pasir tidak dicuci mengalami penurunan kekuatan tekan 208,54 kg/cm2. Pasir yang tidak dicuci dapat menurunkan kekuatan tekan beton dibandingkan dengan rencana. Diharapkan pelaksana lapangan mencuci pasir sebelum using pasir sebagai campuran untuk mencapai mutu beton yang direncanakan.
Mathematical analysis of ROC-TOPSIS method for prioritizing road repair decisions Widiya Astuti Alam Sur; Ines Saraswati Machfiroh
AXIOM : Jurnal Pendidikan dan Matematika Vol 13, No 2 (2024)
Publisher : State Islamic University of North Sumatra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30821/axiom.v13i2.21860

Abstract

Determining the priority of road damage in road construction typically relies on assessments based on the Pavement Condition Index (PCI) method. However, the PCI classification does not provide specific criteria to distinguish between road sections within the same classification, complicating the identification of sections in worse condition. To address this issue, mathematical analysis can employ multi-criteria decision-making (MCDM) methods to prioritize road sections for repair. One effective approach is the integration of the Rank Order Centroid (ROC) and Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) methods. The analysis results indicate that the road sections prioritized for repair were located at Location III: Alternative 70, Alternative 80, and Alternative 42. Based on the Pearson correlation coefficient between the ranking orders of the pavement assessment using PCI and ROC-TOPSIS, there is a 65% similarity. Consequently, ROC-TOPSIS can serve as an alternative method for determining priority repairs, as it aligns with the results of the road pavement assessment.