High Order Thinking Skills (HOTS) is the ability to connect, manipulate, and change the knowledge and experience that is owned critically and creatively in determining decisions to solve problems in new situations. To include HOTS questions in a learning process is an obstacle for Madrasah teachers, including teachers of PC. LP. Maarif NU Lamongan. This community service aimed at improving the pedagogical competence of mathematics teachers of PC. LP. Maarif NU Lamongan. Community-Based Research (CBR) was employed through workshop and training administered by the Mathematics Study Program of UIN Sunan Ampel Surabaya in designing and completing high order thinking questions followed by assistance. The results indicated that the ability of Madrasah teachers to solve HOTS questions as well as its implementation in classroom teaching and learning activities improved significantly.
The purpose of this paper is to explain whether there is an impact of hate speech and hoax news in social media exposure-either directly or indirectly through the level of media literacy-on prejudice and religious intolerance among teenagers. In general, the result of this research shows that there is a significant effect of hate speech and hoax news in social media exposure to prejudice and religious intolerance. The research findings show that teenagers who are exposed to hate speech and hoax news on social media are adolescents who have a low level of media literacy. The results of this study indicate that among teenagers who have been exposed to hate speech and hoax news in social media affect their prejudice and religious intolerance because of low levels of media literacy. Therefore, it is necessary to increase media literacy for teenagers so that they are not exposed to hate speech and hoax news in social media to minimize prejudice and religious intolerance.
Labuan Bajo is considered to have an important role as a transportation route for traders and tourists. Therefore, it is necessary to have a further understanding of the condition of the waters in Labuan Bajo, one of them is sea currents. The purpose of this research is to predict sea surface flow velocity and direction using LSTM. There are many prediction methods, one of them is Long short-term memory (LSTM). The fundamental of LSTM is to process information from the previous memory by going through three gates, that is forget gate, input gate, and output gate so the output will be the input in the next process. Based on trials with several parameters namely Hidden Layer, Learning Rate, Batch Size, and Learning rate drop period, it achieved the smallest MAPE values of U and V components of 14.15% and 8.43% with 50 hidden layers, 32 Batch size and 150 Learn rate drop.
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