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All Journal Journal of Planning and Research in Civil Engineering Disaster in Civil Engineering and Architecture
Mauladea, Faiza
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Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Engineering Environmental Science Materials Science & Nanotechnology

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Pengaruh Substitusi Cangkang Kerang Darah dan Fly Ash Terhadap Campuran Perkerasan Aspal maulida, siti mira; Suhendra, Tobi; Darma, Yusria; M Saleh, Sofyan; Dasopang, Ahyin Bilhuda; Mauladea, Faiza; Humayra, S
Jurnal Perencanaan dan Penelitian Teknik Sipil Vol 4 No 3 (2025): November
Publisher : Universitas Iskandar Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55616/prince.v4i3.1071

Abstract

Research on asphalt mixtures continues to progress through sustainable innovations, particularly in the utilization of waste materials as substitution components. The incorporation of such waste not only helps mitigate environmental but also contributes to improving the mechanical performance of asphalt mixtures. One promising waste material is Blood Cockle Shell (BCS), a by-product of fishery activities that has not yet been fully utilized. In this study, BCS was used as a substitution for fine aggregates in asphalt concrete mixtures, while fly ash was utilized as a filler substitute at a constant proportion of 5%. The main objective of this research was to analyze the effect of CKD content variations of 0%, 10%, and 15% on the Marshall characteristics and durability. The experimental procedure involved conducting Marshall tests on 27 specimens, with the Optimum Asphalt Content (OAC) determined at 5.91%. The results showed that all BCS variations met the Bina Marga (2020) specifications. The best performance was achieved at 10% BCS content, demonstrating high stability, flow within the middle range, and a durability value of 94.07%, exceeding the minimum requirement of 90%. These results suggest that BCS combined with fly ash provides an environmentally sustainable alternative material for improving pavement quality.
Understanding the Correlation Between Boredom Proneness Induced Sleepiness and Microsleep Events Among Drivers Mauladea, Faiza; Darma, Yusria; M Saleh, Sofyan; Koting, Suhana
Disaster in Civil Engineering and Architecture Vol. 2 No. 2: October 2025
Publisher : Popular Scientist

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70028/dcea.v2i2.71

Abstract

Driving is a crucial daily activity that requires high concentration to ensure safety on road. One of the factors contributing to traffic accidents is the phenomenon of microsleep, a brief involuntary sleep episode that can disrupt a driver’s alertness. In Indonesia, particularly in Province of Aceh, traffic accident rates remain relatively high. The Banda Aceh-Medan Road segment is one of the areas with the highest traffic accident rate in Aceh Province. This highlights the importance of the research. This study aims to analyze the factors affecting the occurrence of microsleep among drivers in Aceh Province, specifically focusing on the ease of falling asleep that was measured using the Epworth Sleepiness Scale (ESS). Whilst, the boredom was measured using the Boredom Proneness Scale (BPS). Data were collected through questionnaires distributed to 310 drivers who had travelled the Banda Aceh - Medan route, both on expressways and national road. The Structural Equation Modelling (SEM) method was used to examine the relationships between the exogenous latent variables (boredom level and sleepiness) and the endogenous latent variable (frequency of microsleep). The model indicates there were relationship between three main latent variables. Boredom Proneness (BP) has a significant positive effect on the Epworth Sleepiness Scale (ESS) with an estimate coefficient of 0.329 (p < 0.001). BP also positively affected Microsleep (MS) with an estimate of 0.242, and the ESS positively influenced the MS with a coefficient of 0.191, respectively. The overall model demonstrated acceptable statistical quality with RMSEA = 0.079, GFI = 0.850, AGFI = 0.813, and CFI = 0.842, indicating a marginal to good fit. However, this study is limited by its cross-sectional and self-reported design, suggesting future research should apply experimental or physiological approaches to better capture driver fatigue dynamics.
Co-Authors Dasopang, Ahyin Bilhuda Humayra, S Koting, Suhana M Saleh, Sofyan Maulida, Siti Mira Suhendra, Tobi Yusria Darma