Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Desimal: Jurnal Matematika Tesseract: International Journal of Geometry and Applied Mathematics
Maysun, Maysun
Unknown Affiliation
Education Mathematics Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
OVERVIEW OF THE PHILOSOPHY OF MATHEMATICS: DESCRIPTION OF THE DIALOGUE METHOD OF SOCRATES AND PAULO FREIRE AND ITS IMPLICATIONS IN MATHEMATICS LEARNING Maysun, Maysun; Hakim, Lukman El; Aziz, Tian Abdul
Tesseract: International Journal of Geometry and Applied Mathematics Vol. 1 No. 1 (2023): Tesseract: International Journal of Geometry and Applied Mathematics
Publisher : Nindikayla Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57254/tess.v1i1.6

Abstract

Mathematics has an important role for improving attitudes and behavior through critical thinking. The learning method that can be applied to improve critical thinking skills is the dialogue method. Dialogue activities will provoke students to be more active in learning and educators can gather information, generate responses, focus students' attention, and test students' understanding. Socrates and Paulo Freire are two important figures who apply the dialogue method in learning. This research aims to describe the philosophical review of Socrates' dialogues and Paulo Freire's dialogues and their implementation in learning mathematics. The research method used is qualitative with library research. The result of this study is that the researcher found that the dialogue method can create an interesting and interactive classroom atmosphere. Through the dialogue process, educators can facilitate students to hone and improve their critical thinking skills
Forecasting Indonesian inflation using a hybrid ARIMA-ANFIS Fitriyati, Nina; Mahmudi, Mahmudi; Wijaya, Madona Yunita; Maysun, Maysun
Desimal: Jurnal Matematika Vol. 5 No. 3 (2022): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v5i3.14093

Abstract

This paper discusses the prediction of the inflation rate in Indonesia. The data used in this research is assumed to have both linear and non-linear components. The ARIMA model is selected to accommodate the linear component, while the ANFIS method accounts for the non-linear component in the inflation data. Thus, the model is known as the hybrid ARIMA-ANFIS model. The clustering method is performed in the ANFIS model using Fuzzy C-Mean (FMS) with a Gaussian membership function. Consider 2 to 6 clusters. The optimal number of clusters is assessed according to the minimum value of the error prediction. To evaluate the performance of the fitted hybrid ARIMA-ANFIS model, it can be compared to the classical ARIMA model and with the ordinary ANFIS model. The result reveals that the best ARIMA model for inflation prediction in Indonesia is ARIMA(2,1,0). In the hybrid ARIMA(2,1,0)-ANFIS model, two clusters are optimal. Meanwhile, the optimum number of clusters in the ordinary ANFIS model is six. The comparison of prediction accuracy confirms that the hybrid model is superior to the individual model alone of either ARIMA or ANFIS model.
Co-Authors Hakim, Lukman El Mahmudi Mahmudi Nina Fitriyati Tian Abdul Aziz Wijaya, Madona Yunita