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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Jurnal Tadris Matematika
Sari, Nadia Roosmalita
Universitas Negeri Malang
Computer Science & IT Education

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Animation Media to Improve Student Learning Results Sari, Nadia Roosmalita
Jurnal Tadris Matematika Vol 1, No 2 (2018)
Publisher : Institut Agama Islam Negeri (IAIN) Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.512 KB) | DOI: 10.21274/jtm.2018.1.2.145-156

Abstract

Learning methods in schools tend to use lecture and book models as learning media. Whereas at present, technology is growing rapidly. The use of technology as a learning medium is very important to attract students' interest in learning. At the Elementary School level, children still like learning while playing. This research proposes animation as a learning media for students in elementary schools. This media can be used by teachers as learning media. This animation media is expected to attract students' interest in learning, especially in mathematics subjects. In animation, visualization in the form of images moving on the subject of mathematics becomes one of the things that need to be optimized. The purpose of this study was to develop animation learning media as an alternative self-learning tool to help to master mathematics subjects for students and find out the feasibility of products for mathematics learning. The research and development methodology used in this study is Research and Development (R & D). This methodology covers all things related to development to produce quality interactive learning media software. Based on the trial, 81% of media experts, 88% of material experts, 70% of initial field tests, and 93% of field trials were obtained. Based on these results, the animation media for mathematics subjects has been feasible to be used as a medium of self-learning with an average value of 83% validation.
Optimization Improved K-Means on Centroid Initialization process using Particle Swarm Optimization for Tsunami Prone Area Groupings Santika, Gayatri Dwi; Sari, Nadia Roosmalita; S, M Zaki; Mahmudy, Wayan Firdaus
MATICS Vol 10, No 1 (2018): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (656.109 KB) | DOI: 10.18860/mat.v10i1.3836

Abstract

Tsunami is a high wave caused by tectonic earthquakes, volcanic eruption or landslides in the ocean.  Indonesia is one of the countries that has thousands of islands. Lots of towns is a city on the banks or waterfront city. Indonesia becomes Tsunami prone areas. Tsunami can affect damage in various sectors, namely land degradation and infrastructure, environmental damage, fatalities, even the psychological impact on the victims themselves. Therefore, it takes a clustering of tsunami-prone areas. The result of clustering can give information to the public to remain alert to the danger of the tsunami. Also, clustering of the tsunami can be used by a government to prepare policies in overcoming the danger of the tsunami. Improved K-Means is an approach that proposed in this study to clustering the tsunami prone areas. In selecting the initial centroid must be done properly to produce a high accuracy. We proposed a method to determine the initial centroid appropriately, so that can increase the accuracy. The proposed method is Particle Swam Optimization (PSO). This study also uses comparison methods, such as K-Means, K-Means Improved, and K-Means Improved PSO. This study uses silhouette coefficient to test the accuracy of the system. The result showed that the proposed method has higher accuracy than the comparison method. Silhouette coefficient generated at 0.99924223 with smaller computing time
Co-Authors Gayatri Dwi Santika S, M Zaki Wayan Firdaus Mahmudy