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Highlights Bruguiera cylindrica is a mangrove plant in North Sumatra with limited information on its microbial endophytes. An enzyme bioprospection study was conducted revealing Vibrio alginolyticus as a prominent proteolytic strain. Vibrio alginolyticus Jme3-20 produced a multitude of extracellular enzymes such as amylase, cellulase, chitinase, phosphatase, and urease. This is the first report on finding Vibrio alginolyticus from mangrove area of North Sumatra.

Since the policy of sending students home to study as a result of responding to the dangers of the pandemic, universities around the world have increasingly trusted distance learning solutions. The solution was to rely on digital literacy to continue and improve student learning outcomes during the COVID-19 disruption. For this reason, the researchers have proven it through analytical efforts and in-depth studies in several international publications. In short, the researchers examined each piece of evidence with a phenomenological approach to get answers to research questions that are among other things, involve a data coding system, critical evaluation, and drawing of valid and reliable final results. The data discussion concludes that world universities believe that digital technology that was increasingly trending can become a learning innovation even though the world will continue to hit global education. Hence, the researchers hope that these findings should support other studies in the future. Keywords: Digital Literacy, Learning Outcomes, Entrust Digital Literacy

Hilsa shad Tenualosa ilishais of the indigenous fish species and the icon of the Labuhanbatu Regency, Indonesia. Presently, a very limited study was done in this species. Hence, the purpose of this study was to analyse the distribution and growth patterns based on the length-weight relationship of Hilsa shad T. ilishaon Bilah River, Labuhanbatu District, Sumatera Utara Province, Indonesia. Sampling was carried out for 3 months starting in February-April 2019 with the exploration method. Determination of sampling locations based on information from local fishermen. Analysis of distribution data used the Morisita index and growth patterns used the Linear Allometric Model (LAM). The analysis results of Hilsa shad distribution indicated that these fish were distributed in groups/clustered with the Morisita index value of 2.211-2.314. The growth pattern of the fish was negative allometric with a value of b3. Correlation analysis showed that DO was closely related to distribution (r2=0.661), meanwhile, light penetration was closely related to growth patterns (r2=0.914). It is concluded that the distribution of Hilsa shad fish in the Bilah River was in groups or clustered, with a negative allometric growth pattern. Keywords: Hilsa Shad, distribution, growth pattern, Tenualosa ilisha