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All Journal JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Makara Journal of Science
Maulana, Sofyan
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Biochemistry, Genetics & Molecular Biology Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Public Health

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Analisis Perancangan Alat Pemetik Buah Mangga (LATIKMA) Minaturrahim, Husain; Afief, Muhammad Rayhan; Firly, Teuku Muhammad; Maulana, Sofyan; Restianti, Vika; Parwati, Niken
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 1 (2022): Januari 2022
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i1.804

Abstract

Product development is something that is needed by every existing company. At this time, almost all companies are competing to continue to develop their products to attract consumers to be able to run life easily and comfortably. In this study, we analyzed the design of the LATIKMA (Mango Fruit Picker) to make it easier for people to pick mangoes and have other goals so that the mangoes that were picked were not crushed. This study using 4 methods, namely RPW, MRPW, LCR, and J. Wagon. With a total time of 147 minutes and the total time of all work stations being the same for the RPW method, the number of stations is 10, the line efficiency is 74%, and the smoothing index is 22.56, then for the MRPW, the number of stations is 10, the line efficiency is 74%, and the smoothing index is 22.56, then for the J. Wagon the number of stations is 10, the line efficiency is 74%, and the smoothing index is 30.14, and for the LCR method, the number of stations is 9, the line efficiency is 82%, and the smoothing index is 13.22.Keywords - Product, OPC, Assembly Chart, Heuristic, Prototyp
Effect of Red and Blue Light on Lipid, Protein, Carbohydrate, and Pigment Contents of Navicula sp. Maulana, Sofyan; Nurul Hida, Aulia Setyo; Wulandari, Ismia; Mudrikah, Siti; Kurnianto, Dedy; Maghfiroh, Khusnul Qonita; Amelia, Ria; Erfianti, Tia; Putri, Renata Adaranyssa Egistha; Devi Anggraini, Irika; Marno, Septhian; Suyono, Eko Agus Agus
Makara Journal of Science
Publisher : UI Scholars Hub

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Light quality critically modulates the physiology of diatoms, influencing photosynthetic efficiency and metabolite synthesis. This study examines how monochromatic red (620–750 nm) or blue (450–495 nm) light affects the biochemical profiles and pigment production in Navicula sp. versus white light (control). Cultures were grown in sterile f/2 medium, and biomass was tracked via OD680. Biochemical analyses included lipids (Bligh and Dyer method), carbohydrates (phenol-sulfuric acid assay), proteins (Bradford assay), and pigments (spectrophotometric quantification). The growth dynamics were modeled using logistic and Gompertz equations. No significant differences in OD-based growth rates, carbohydrates, proteins, or lipids content were observed with red or blue light compared with the control. However, blue light elevated chlorophyll a levels 4-fold and maximized protein productivity 3-fold, whereas red light enhanced carotenoid content by 20.5-fold. The growth kinetics modeling that best matched the experimental data was the Gompertz modeling (R² > 0.649). These results demonstrate the wavelength-specific regulation of pigment and protein yields, suggesting that tailored light regimes can selectively optimize high-value metabolites in Navicula sp. This approach holds promise for biotechnology sectors prioritizing targeted compound production, such as nutraceuticals or biofuels, by leveraging spectral tuning to enhance metabolic efficiency and predicting particular growth phases using growth kinetics.
Co-Authors Afief, Muhammad Rayhan Amelia, Ria Devi Anggraini, Irika Erfianti, Tia Firly, Teuku Muhammad Kurnianto, Dedy Maghfiroh, Khusnul Qonita Marno, Septhian Minaturrahim, Husain Niken Parwati Nurul Hida, Aulia Setyo Putri, Renata Adaranyssa Egistha Restianti, Vika siti mudrikah Suyono, Eko Agus Agus Wulandari, Ismia