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All Journal IJoICT (International Journal on Information and Communication Technology) M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika
Sri Harini
UIN Maulana Malik Ibrahim
Computer Science & IT Education Mathematics

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The Effect of Number of Factors and Data on Monthly Weather Classification Performance Using Artificial Neural Networks Shofura Shofura; Sri Suryani M.Si; Linda Salma; Sri Harini
International Journal on Information and Communication Technology (IJoICT) Vol. 7 No. 2 (2021): December 2021
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v7i2.602

Abstract

Current weather-related research only focuses on weather prediction based on raw data and the factors used are generally 4 factors: average temperature, solar radiation, air pressure, and wind. In this research, monthly weather prediction is done using 5 factors where the additional factor used is rainfall in the previous time. In contrast to previous prediction research, the prediction process carried out in this study emphasizes the modeling of training data according to the desired prediction model.. These two things distinguish this research from previous studies. The prediction model used in this study is a classification-based prediction model that is the Artificial Neural Network (ANN) method combined with the backpropagation algorithm for calculating the weight of the ANN network. The data used are meteorological data from 2010 to 2018 in the Bogor area, where data from 2010 to 2016 are used as training data, and data from 2017 to 2018 are used as test data. The results of this study indicate that the design of the model with the use of data for 6 years with feature data of 5 factors has an accuracy rate of 83.33%.
Integration of Malangan Mask Puppet Ethnomathematics in E-Comics to Improve Algebra Literacy Skills of VIII Grade Students on The Concept of Sets Erni Anggraini; Sri Harini; Marhayati Marhayati
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 11 No. 2 (2026): Mathline : Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v11i2.961

Abstract

The purpose of this study is to develop learning media in the form of an e-comic based on the ethnomathematics of the Malangan Masked Wayang to improve algebraic literacy, especially in the material of set theory. The main problem underlying this study is the low ability of students to abstract mathematical concepts from real contexts into algebraic symbols. Ethnomathematics in this study is through the classification of Malangan Masked Wayang characters based on mask colors, character traits, and clothing attributes. Explicitly, these cultural elements are constructed into set theory concepts, including universal sets, subsets, and set operations (intersections and unions). The research method used is R&D with the ADDIE model to describe the validity, effectiveness, and practicality of the development product. The effectiveness test procedure uses a Paired Sample t-test with a significance level of 5%. The results obtained on average on the e-comic validation score are 94% which means the data is very valid. In terms of practicality, the e-comic product based on the ethnomathematics of the Malangan Masked Wayang has an average of 93.3%, including the very practical category. Then the effectiveness value of e-comics was found to have a fairly large score on the N-gain value, namely 0.64. These results can be concluded that e-comics based on ethnomathematics of Malangan mask puppets have good validity, are very practical, and are quite effective in improving the algebraic literacy of MTs grade VIII students.
Co-Authors Erni Anggraini Linda Salma Marhayati Shofura Shofura Sri Suryani M.Si