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Journal : Jurnal Mantik

Implementation of Fisher Yates Shuffle Algorithm In Making Learning Animations: Implementation of Fisher Yates Shuffle Algorithm In Making Learning Animations Saut Dohot Siregar; Dessy Permatasari; Anthony Hutapea; Denis Kinarwan
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.934.pp1291-1298

Abstract

English is a foreign language that is difficult for most Indonesian children to learn because the pronunciation is different from the language in which it is written. English is an international language used by various countries in the world. This makes it important to introduce English to children from an early age. The basic English that can be learned by children is the introduction of the pronunciation of the alphabet and numbers and general vocabulary in English. One way of learning that can be adjusted according to the level of children's development so that it is interesting and not easily bored is using learning animations. Animated learning is one of the interactive multimedia-based learning media whose use involves interaction with users so that it can increase the involvement of students in the learning process and can improve the results of learning objectives. The implementation of the fisher yates shuffles algorithm is used to randomize the order of the questions in the quiz practice so that the randomized questions will produce different permutations so that users will get unequal question sequences and it is not easy to remember the quiz answers from the given practice questions. The assessment of the feasibility test for this learning animation will be measured using a questionnaire.
The Development of HOTS-Based Physics Learning Media Application for Junior School Saut Dohot Siregar; Nurul Khairina; Robin Robin
Jurnal Mantik Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.979.pp1690-1694

Abstract

Learning outcomes can be influenced by learning models, learning styles, and learning media. The accuracy of the learning media used can increase students' thinking abilities even to higher levels of thinking. High-level thinking students can be trained through learning in classrooms. Suitable learning media for teaching material can help students in thinking at a high level or HOTS so learning media are needed in the teaching and learning process. This study aims to create learning media and try out these media. Learning media developed using the Borland Delphi application. The learning media developed were tested in junior high school grade 8 in Medan. The research sample was taken by cluster random sampling where each school had the same opportunity to become a research sample. Samples were divided into categories group A and group B. Group A and group B were subjected to the normality and homogeneity tests. This study uses research instruments in the form of multiple-choice questions as many as 15 questions and questionnaires on students' opinions on the learning media used. The results showed that the learning process by using instructional media produces better or higher learning outcomes than the learning process without the use of instructional media. The average posttest students in the class using media developed higher than the average posttest students in the class who do not use instructional media. The results of the student questionnaire argue that the media need to be designed to be more interesting so that students are happier to use it.
Application Learning of Configuration Electron Chemical Elements Saut Dohot Siregar
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Chemistry is a compulsory subject in high school, especially in the natural sciences department. In chemistry lessons, there are several sub-topics, one of which is the periodic system of electron configurations. Electron configuration relates to several other sub-topics. So that the electron configuration has an important role in the study of chemistry. The location of an element in the periodic table can be determined by determining the electron configuration of the element. So that the application of technology in helping students to understand electron configuration is needed. Intelligent computer assisted instruction is the application of artificial intelligence in the field of education that can be used to create more effective learning and can increase the willingness to learn and increase student motivation to learn. So it is necessary to make an application for learning the electron configuration of chemical elements. The resulting application has several learning support features, namely material, evaluation, discussion, and glossary. This application is built using the Fisher Yates Shuffle algorithm for randomization of numbers which is applied to practice questions. The application can run well on android devices version 4.4 or the latest version. Applications can measure students' mastery of learning materials more accurately. From the test results obtained 86% of respondents gave a positive response to the application that was built. Likewise, 60% of respondents expect further development. Either on the same material or on other chemistry materials to make learning more interesting and fun.
Implementation of KNN algorithm in classifying diabetic ulcers in patients with diabetes mellitus Saut Dohot Siregar; Yusra Uli Rasita Ginting; Nita Sintami; Hari Salim Butar-Butar; Riki Marthin Simanjuntak
Jurnal Mantik Vol. 7 No. 2 (2023): Agustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i2.3928

Abstract

The rapid development of the times, humans face various types of diseases that exist, even some of these types of diseases can be fatal and even death, one of the most famous diseases is diabetes mellitus. Diabetic ulcers are caused by diabetes mellitus. The risk of people with diabetes mellitus is 29 times that there will be diabetic ulcer complications, and the potential to experience diabetic ulcers is 15-25% during their lifetime and within 5 years has a recurrence rate of 50-70%. This research uses the K-Nearest Neighbor algorithm with the Gray Level Co-Occurrence model which is the extraction of image or texture features from images. Using the calculate_glcms(image) function to calculate some features of the GLCM matrix given an image as input. GLCM: greycomatrix(image,[1], [0, np.pi/4, np.pi/2,3 np.pi/4], levels=256, symmetric=True, normed=True) calculates the GLCM matrix of the image with pixel distance 1 and angle 0, np.pi/4, np.pi/2, and3 np.pi/4. Conclusion of this research is the test result matrix, the accuracy is 0.94 (94%), precision 0.928, recall 0.905, F-1 Score 0.907 and support of 66.