Taxonomy Content Research Articles

KORELASI PEMBELAJARAN FLIPPED CLASSROOM DENGAN TAKSONOMI BLOOM

Flipped classroom is recommended learning when the teacher is preparing to carry out synchronous and asynchronous learning activities because of its effectiveness. This effectiveness is obtained because the flipped classroom is supported by four pillars of innovative learning: flexible environment, learning culture, intentional content, and professional educator, based on a constructivist learning approach and the design involved can activate and develop thinking skills in the realm of Bloom's taxonomy. The correlation that appears in the study above gives place to the Flipped classroom by assigning students to know and understand the content of lessons outside the classroom by using higher order thinking skills (HOTs) in Bloom's Taxonomy as a guardian of activities. Bloom's Taxonomy content in the Flipped Classroom model has a reverse direction, in the Flipped Classroom model step by emphasizing on students to create a product first, then students reconstruct understanding by trying to criticize to be evaluated (evaluating) in the application, then look at the details the strengths and weaknesses of the resulting product (analyzing) so that students apply the best working strategy (applying) by gaining new understanding (understanding) and being able to remember all previous learning. After students have "capital" understanding of the content, learning moves to face-to-face classes with activities aimed at clarifying, strengthening and deepening understanding as well as developing the skills acquired.Keywords: Flipped Classroom, Bloom Taxonomy

Time-variant attribute-based multitype encryption algorithm for improved cloud data security using user profile

Cloud computing becomes more sophisticated to provide different services at different levels of user access. Even though various services are accessed at a different level, the security of data being accessed is a highly challenging one. However, there is a number of encryption approaches discussed toward the problem of cloud security; they suffer to achieve higher security as required. The previous ABFD (attribute-based flexible delegation) algorithm uses a set of policies in encrypting the data with specific keys mentioned in the policy. However, the leakage of encryption policy would introduce poor security which can be overcome by adopting multitype encryption standards in different time windows. According to this, an efficient time-variant attribute-based multitype encryption algorithm (TAM) is presented in this paper. The TAM algorithm maintains a taxonomy of attributes and related keys to be used for encryption and decryption. The corresponding keys have been used to generate the ciphertext. The content of taxonomy has been dynamically changing in each time window which makes the difference in integrity management and security performance than previous algorithms. The TAM approach introduces a higher security performance up to 89.6%. The method also reduces the time complexity up to 21 s and increases the throughput performance up to 96%.