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All Journal INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Indonesian Journal of Construction Engineering and Sustainable Development
Abdilla, Raihan
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Energy Environmental Science

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PEMANFAATAN SERBUK CANGKANG KERANG SIMPINGSEBAGAI SUBSITUSI PASIR Aziz, Muhamad Rifqi; Aziz, Rifqi; Abdilla, Raihan; Rickianto, Rio; Yoladissa, Naviera; Herlina, Liana; Mahendra, Andhika
INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD) Vol 7 No 2 (2024): INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD)
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/10.25105/cesd.v7i2.21644

Abstract

The increase in the demand for concrete materials has triggered the mining of stone, which is a constituent material of concrete as sand, resulting in a decrease in the amount of natural resources available for concrete construction purposes. The composition of concrete consists of fine aggregate, coarse aggregate, cement, water, and additives. The use of scallop shell powder as a sand substitute encourages the utilization of local materials, and shows concern for the environment. This study aims to determine the comparison of the compressive strength value of normal concrete with the compressive strength value of concrete using scallop shell powder by 2.5%, 5%, 7.5% and 10% of the number of test specimens as many as 20 samples.The method used in this research uses experimental methods in the laboratory. The specimens used werecylinders with a diameter of 15 cm and a height of 30 cm. The planned concrete quality is f'c = 30 Mpa.The compressive strength of normal concrete is 16.7 MPa at the age of 28 days and the compressivestrength of shell concrete with a composition of 2.5%, 5%, 7.5%, and 10 produces a compressive strengthof 11.6 MPa; 14.7 MPa; 13.72 MPa, and 12.45 MPa at the age of 28 days. The results of the study indicate that the lower the proportion of shell powder, the higher the compressive strength value, but it cannot exceed the compressive strength value of normal concrete. 
Evaluating Land Cover Effects on Land Surface Temperature in the Juana Watershed for Urban Climate Adaptation Kurniyaningrum, Endah; Abdilla, Raihan; Rinanti, Astri; Herlina, Liana; Kuswanda, Giraldi Fardiaz; Komara, Kresna Dwiki; Toffin, Louis Wei; Thieble, Simon; Assidik, Muhammad Luthfi
INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY VOLUME 9, NUMBER 1, APRIL 2026
Publisher : Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/urbanenvirotech.v9i1.24048

Abstract

Aim: This study analyzes how land cover affects land surface temperature (LST). Understanding this helps optimize land management, improve agriculture, and address climate change impacts on soil temperature. Methodology and Results: To achieve this objective, the study employs a field experiment and remote sensing analysis to evaluate soil temperature variations. Land surface temperature data from Landsat satellite imagery enabled observation of the spatial distribution of soil temperature. The results indicate that sandy soils experience greater temperature fluctuations compared to clay soils, which are better at retaining heat over time. Conclusion, Significance, and Impact Study: This study confirms that soil texture and moisture content significantly influence land surface temperature dynamics. The findings can be applied to water management planning in the agricultural sector, climate change adaptation strategies, and more effective land use planning. The integration of remote sensing and field data improves the accuracy of large-scale soil temperature monitoring. Building on these results, future studies should specifically focus on quantifying the separate and combined effects of vegetation cover and organic matter content on soil thermal properties to further refine predictive models.
Co-Authors Assidik, Muhammad Luthfi Aziz, Muhamad Rifqi Aziz, Rifqi Endah Kurniyaningrum Giraldi Fardiaz Kuswanda Komara, Kresna Dwiki Liana Herlina Mahendra, Andhika Rickianto, Rio Thieble, Simon Toffin, Louis Wei Yoladissa, Naviera