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All Journal The Journal of Experimental Life Sciences (JELS) IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature
Uswatun Hasanah
Universitas Brawijaya
Biochemistry, Genetics & Molecular Biology Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Neuroscience

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The Influence of Twitter Media Exposure on the Language Attitude of Students at Brawijaya University Uswatun Hasanah; Ika Nurhayani; Nurul Chojimah
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol 9, No 1 (2021): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Litera
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v9i1.1783

Abstract

The S-O-R theory by Hovland, et.al (1953) states that organisms produce certain behaviors if there are special stimulus conditions, so that one can expect and estimate the compatibility between messages and communicant reactions (Effendy, 2005: 254). Twitter exposure can affect various aspects of the lives of its users, one of which is in the aspect of language attitudes. Language attitude is defined as the subjective perception of language influenced by behaviors. This research aims to analyze the effect of twitter exposure on language attitude of college students in Brawijaya University. This research is quantitative research. The data were collected using a questionnaire, from the results of the questionnaire were analyzed to determine the effect of each variable calculated using regression analysis. To convert data from questionnaires into numerical data that can be analysed, a Likert scale is used. This study shows the influence of twitter media exposure (X) on language attitude (Y) is significant. In addition, t value is -10.771 which means that the influence is inversely proportional, the more twitter media exposure increase, language attitude will decrease. This means that H0 is rejected, so it can be concluded that language attitude (Y) can be significantly influenced.
Identification of Sago-Pulp Amylolytic Bacteria and Its Utilization for Granulated Fertilizer Uswatun Hasanah; Tri Ardyati; Dian Siswanto
The Journal of Experimental Life Science Vol. 11 No. 2 (2021)
Publisher : Postgraduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jels.2021.011.02.02

Abstract

Previous research stated that bacteria isolated from sago waste from the traditional sago industry in Palopo had the potency to produce amylase. This study aims to confirm the ability of bacteria isolated from sago pulp waste to produce amylase, evaluate the ability of these amylolytic bacteria to produce IAA fix nitrogen, identify selected bacteria, and apply selected bacteria into granules biofertilizers. Bacteria were isolated from sago pulp waste and grown on a 1% starch agar medium. The amylolytic activity was analyzed qualitatively using iodine and quantitatively using the 3,5-Dinitrosalicylic Acid (DNS) method at pH 6. Amylolytic bacteria were analyzed for IAA production using Salkowsky reagent and nitrogen fixation ability through the Serra Kit method. Potential bacteria were identified based on the similarity of the 16S rDNA sequence. The selected bacteria were grown in a 10mL NB medium, and then bacteria were inoculated and air-dried to obtain the granules. The selected bacteria were put into granules and re-isolated using the total plate count (TPC) method. Eight amylolytic bacteria were obtained from sago pulp waste. L1E isolate had the highest amylolytic activity of 1.228 U.mL-1, and L1D isolate had the highest IAA production of 69.8 g.mL-1. Isolate L1E was identified as Alcaligenes faecalis with a 99.45% similarity index, and L1D was identified as Serratia surfactantfaciens with a 99.09% similarity index. Isolate L2G was identified as Alcaligenes aquatilis with a similarity index of 99.8% of the 16S rDNA sequence. The viability of bacteria from granules was 1.41 x 108 CFU.g-1.Keywords: Amylase enzyme, amylolytic bacteria, granulated fertilizer.
Co-Authors Dian Siswanto Ika Nurhayani Nurul Chojimah Tri Ardyati