On 2 March 2020, the Indonesian government, through President Joko ‘Jokowi’ Widodo, announced the first two cases of COVID-19 in Indonesia. This is the first case of COVID-19 officially confirmed in that country. Several cases have continued to increase since then. President Jokowi began issuing policies on the spread of this virus. This is different from other countries, such as Malaysia and Singapore, which responded from the previous month when the Indonesian government still stated that coronavirus does not exist in Indonesia. Our case study is to find a public opinion through social network analysis of Indonesian public policy during the beginning of the Indonesian COVID-19 pandemic in March 2020. This research implements text mining and document-based sentiments on Twitter data that is reprocessed through machine learning techniques using the Naïve Bayes method. We found negative opinions in the period more dominant by 46%, while that was 35% positive sentiment and 20% neutral. This research shows that anticipation, sadness, and anger are very dominant in the emotional analysis.
This research was conducted for 2 weeks in October at SMAN 11 Medan. This type of research is classroom action research. Before the action is taken first, the initial test is given. From the results of the initial test, the average student achievement was 20.62 with a classical completeness level of 0%. After giving action I to creative thinking tests the level of student study in classical is 15%, with an average grade achievement of 33.75. To test student learning outcomes the level of completeness obtained by students is 17.5%, with an average grade achievement of 26.42. After the implementation of action II for creative thinking tests the level of student study learning in classical is 85%, with an average achievement of 72.85 classes. To test student learning outcomes the level of completeness obtained by students is 90%, with an average grade achievement of 77.17. From this there is an increase in the level of classical completeness by 70% for students 'creative thinking and 72.5% for students' mathematics learning outcomes. Keywords: Mathematical Creativity, Mathematics Learning Outcomes, ICT Media, Cooperative Type-STAD Model.
Penelitian ini bertujuan untuk melihat perbandingan peningkatan kemampuan metakognisi dan kemandirian belajar terhadap pembelajaran discovery learning dengan pembelajaran example non-example. Metode dalam penelitian adalah mixed-method dan teknik sampling yang digunakan adalah non-probability sampling yakni sampling purposive. Instrumen dalam penelitian ini adalah tes metakognisi matematis, angket kemandirian belajar. Analisis data dilakukan secara kuantitatif menggunakan uji Mann-Whithney (non-parametric). Hasil penelitian menunjukkan bahwa (1) terdapat perbedaan peningkatan kemampuan metakognisi matematis antara siswa yang mendapat pembelajaran discovery learning dengan siswa yang mendapat pembelajaran example non-example, (2) terdapat perbedaan peningkatan kemandirian belajar antara siswa yang mendapat pembelajaran discovery learning dengan siswa yang mendapat pembelajaran example non-example.
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