8 research outputs found

    Teacher's Experience towards Online Learning Pre Covid-19 Pandemic in Aceh

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    The Covid-19 pandemic has affected almost every aspect of life in the world, including education. The learning process, which was originally done face-to-face at school is diverted to the home using the online learning model. The inequality of the teacher's ability to utilize technology affects the achievement of this online learning goal. The ability of teachers to conduct online learning depends on knowledge and experience in online teaching before the Covid-19 pandemic. Objective: This study was conducted to expose information related to teachers’ experience toward online learning before the Covid-19 pandemic. Method: The study was carried out by implementing a descriptive quantitative method. The instrument used in this study was questionnaires distributed online using the Google Form application. The data were analyzed through the stages of data reduction, data interpretation, and conclusion drawing. Finding: The results showed that 75% of teachers stated that they already had basic knowledge about online learning before the Covid-19 pandemic. 45.80% of teachers said they obtained information about online learning through school-facilitated training while 16.70% gathered information about online learning before the Covid-19 pandemic from government-facilitated training, and 37.50% obtained information about online learning from independent learning. A total of 54.10% of teachers stated had conducted online learning before the Covid-19 pandemic. However, only 20.80% of them stated that online learning is very effective to be implemented. Conclusion: The readiness of teachers to implement online teaching-learning depends on their knowledge and experience related to online learning. Inadequate teaching training causes the lack of understanding of teachers towards the benefits of supported information technology-based learning media

    Clinical and Cure Profile of Tinea Capitis Patients

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    Background: Tinea capitis (TC) is a superficial mycoses infection of hair follicles and hair shaft caused by dermatophytes of the genus Trichophyton and Microsporum. Tinea capitis can cause hair loss and scales with varying degrees of inflammatory response. The incidence varies depending on geographical location and factors that affect the incidence rate. It is important to know the incidence also the clinical and cure profile of tinea capitis to provide benefits in the prevention, diagnosis, and treatment. Purpose: To evaluate the clinical and cure profile of TC patients at the Dermatology and Venereology Outpatient Clinic of Dr. Soetomo General Academic Hospital Surabaya from January 2019 to January 2020. Methods: A retrospective descriptive study based on medical records with a total sampling technique. Result: Of the 10 TC patients, who were the research subjects, TC predominantly affected males and at 5–11 years age group. The highest risk factor was a history of contact with cats. Scales were the most common clinical feature. Microsporum canis was the most common causative species, ectothrix arthrospores was revealed during the direct microscopic examination, Wood lamp's fluorescence was mostly yellow-green, and cigarette-shaped hair was the most common dermoscopic finding. Eighty percent of subjects were diagnosed with gray patch type. Conclusion: The diagnosis of TC was established based on the patient's history, clinical examination, and supporting examination

    Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case study in Quadratic Assignment Problem

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    This paper is concerned with automated tuning of parameters of algorithms to handle heterogeneous and large instances. We propose an automated parameter tuning framework with the capability to provide instance-specific parameter configurations. We report preliminary results on the Quadratic Assignment Problem (QAP) and show that our framework provides a significant improvement on solutions qualities with much smaller tuning computational time. © 2013 Springer-Verlag.SCOPUS: cp.kinfo:eu-repo/semantics/publishe
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