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All Journal Indonesian Journal of Data and Science Journal of Social Research
Amrullah, Arif
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Social Sciences

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Classification of Noni Fruit Ripeness Using Support Vector Machine (SVM) Method Yudha Islami Sulistya; Istighosah, Maie; Septiara, Maryona; Septiadi, Abednego Dwi; Amrullah, Arif
Indonesian Journal of Data and Science Vol. 5 No. 3 (2024): Indonesian Journal of Data and Science
Publisher : yocto brain

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56705/ijodas.v5i3.180

Abstract

The classification of Noni fruit (Morinda citrifolia) ripeness is essential for maximizing its medicinal benefits and ensuring product quality. This research aimed to classify Noni fruit ripeness using the Support Vector Machine (SVM) method, comparing three kernel functions: linear, Radial Basis Function (RBF), and polynomial. A dataset consisting of images of ripe and unripe Noni fruits was utilized, with preprocessing steps including the extraction of color and texture features. Performance evaluation revealed that the RBF kernel achieved the highest accuracy at 86.18%, followed by the polynomial kernel with 84.55%, and the linear kernel with 81.30%. These results suggest that the RBF kernel is the most effective for this classification task, showing superior capability in capturing non-linear patterns and complexities within the dataset.
Utilization of Rice Husk Ash and Fly Ash as Cement Substitutes in Highstrength Concrete Amrullah, Arif; Firdaus, Firdaus
Journal of Social Research Vol. 5 No. 2 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i2.2992

Abstract

This study analyzes the effect of rice husk ash (ASP) and fly ash (FA) as partial cement substitutions on the mechanical properties of high-strength concrete. The concrete mix was designed with a target compressive strength of 60 MPa using the SNI 03-6468-2000 method. Substitution variations of ASP and FA were applied at 0%, 5%, 10%, 15%, and 20% of the cement weight. The experimental testing included measurements of unit weight, compressive strength at 7, 28, and 56 days, and modulus of elasticity at 28 days. The results indicate that FA significantly improves concrete unit weight and compressive strength, with optimal performance observed at the 10% substitution level; beyond this percentage, strength tends to stabilize or decrease. Meanwhile, ASP generally reduces concrete unit weight due to its lower specific gravity but still contributes to strength enhancement at certain substitution levels through its pozzolanic reaction, which strengthens the concrete microstructure over time. Both FA and ASP demonstrate substantial potential in improving the performance characteristics of high-strength concrete, particularly in terms of compressive strength and durability. Additionally, their utilization supports sustainable construction practices by reducing cement consumption and mitigating the environmental impact associated with industrial and agricultural waste disposal, making them viable eco-friendly supplementary cementing materials.
Co-Authors Abednego Dwi Septiadi Firdaus Firdaus Maie Istighosah Maryona Septiara Yudha Islami Sulistya