4 research outputs found

    Pengaruh Model Jembatan Analogi Terhadap Pemahaman Aspek Mikroskopik Siswa Dengan Gaya Belajar Berbeda Pada Materi Pelajaran Kimia

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    : The aims of this study are to find out: (1) the influence of Analogical Bridge model implementation on student\u27s microscopic comprehension; (2) the influence of student\u27s learning style on student\u27s microscopic comprehension; and (3) the interaction of Analogical Bridge model and student\u27s learning style on student\u27s microscopic comprehension. It is a quasy experimental study with non equivalent pre-test post-test control group design and 2 x 3 factorial analysis design. The population of this study are 206 students of the XI IPA in SMAN 2 Praya distributed in four study group. Two naturally intact group with equivalent prior abilities are selected as the sample. They are randomly selected as experimental group and control group, then XI IPA 4 is defined as an experimental group (treated by Analogical Bridge model) and XI IPA 3 is defined as a control group (treated by conventional model). Instruments of this study are student\u27s microscopic comprehension test and student\u27s learning style questionnaire. Data of student\u27s microscopic comprehension are collected from student\u27s test score while data about student\u27s learning style are collected from questionnaires. Data analyze using analysis of covarian (ancova) with pre-test score as covarian. All data are assumed normal, linier and homogenous. Least Significant Difference (LSD) is used as a Post analysis. Statistical analysis shows that Analogical Bridge model is not significantly influence the student\u27s microscopic comprehension (p > 0.05). Student\u27s learning style, however is significantly influence the student\u27s microscopic comprehension (p < 0.05). Interaction of Analogical Bridge model and learning\u27s style are significantly influence the student\u27s microscopic comprehension (p < 0.05). Post analysis shows that Analogical Bridge model is best applied on group of visual learning style student

    Cultivation conditions for phytase production from recombinant escherichia coli DH5α

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    Response surface methodology (RSM) was used to optimize the cultivation conditions for the production of phytase by recombinant Escherichia coli DH5α. The optimum predicted cultivation conditions for phytase production were at 3 hours seed age, a 2.5% inoculum level, an L-arabinose concentration of 0.20%, a cell concentration of 0.3 (as measured at 600 nm) and 17 hours post-induction time with a predicted phytase activity of 4194.45 U/mL. The model was validated and the results showed no significant difference between the experimental and the predicted phytase activity (P = 0.305). Under optimum cultivation conditions, the phytase activity of the recombinant E. coli DH5α was 364 times higher compared to the phytase activity of the wild-type producer, Enterobacter sakazakii ASUIA279. Hence, optimization of the cultivation conditions using RSM positively increased phytase production from recombinant E. coli DH5α
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