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All Journal Journal of Education and Learning (EduLearn) EIGEN MATHEMATICS JOURNAL Riemann : Research of Mathematics and Mathematics Education Semeton Mathematics Journal
Ivan Luthfi Ihwani, Ivan Luthfi
brawijaya university
Humanities Education Library & Information Science Mathematics Social Sciences Other

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Computational thinking skills profile in solving mathematical problems based on computational thinking attitude Richardo, Rino; Dwiningrum, Siti Irene Astuti; Murti, Rahayu Condro; Wijaya, Ariyadi; Adawiya, Robiatul; Ihwani, Ivan Luthfi; Ardiyaningrum, Martalia; Aryani, Anggi Erna
Journal of Education and Learning (EduLearn) Vol 19, No 2: May 2025
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/edulearn.v19i2.21643

Abstract

The aim of this qualitative research is to describe the thinking process as a profile of students' mathematical computational thinking (CT) skills in terms of CT attitudes. The subjects in this study were 66 junior high school students in grade IX. There were three students taken by purposive sampling based on high, medium, and low CT attitude. The main research instrument was the researcher, while the auxiliary instruments were mathematical CT ability test and CT attitude scale questionnaire. Data analysis included 3 stages, namely data reduction, data presentation, and conclusion drawing. The data credibility test used triangulation techniques, namely tests and interviews. The results showed that subjects with high CT attitude were able to show all indicators of CT ability, namely abstraction, problem decomposition, algorithmic thinking and generalisation and pattern recognition. However, subjects with moderate and low CT attitudes were only able to show one of these indicators, namely abstraction. Based on the results of this study, researchers will create a mathematics learning model to develop CT skills, especially for number pattern material.
Mathematical Model of Differential Equations to Population Growth Models with Limited Growth in West Nusa Tenggara Province Robbaniyyah, Nuzla Af'idatur; Anjani, Mutia Dewi; Lansuna, Ni Wayan Eka; Ihwani, Ivan Luthfi
Eigen Mathematics Journal Vol 7 No 2 (2024): December
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i2.223

Abstract

Differential equations are often a topic in the field of mathematics which has many applications in mathematical modeling, one of which is population growth. Research on population growth is of course important for an area because the results  of this research can be used in issuing policies such as maintaining the availability of agricultural land, places to live, and many others. In this study, the mathematical model of differential equations was used to find a population growth model for the West Nusa Tenggara Province, then the model was verified and calculations were carried    out using the Mathematica software. Then a model is generated with the equation (?) = 3504006 ?0,012(?−1993) which results in a calculation that the population of NTB will continue to grow so that it is necessary to verify the model which produces a logistics growth model.
Effectiveness of Educational Game Method in Improving The Concept of Mathematical Operations Hisda, Laylatul; Wulan, Lalu Gede Damar; Ihwani, Ivan Luthfi; Maharani, Andika Ellena Saufika Hakim
Riemann: Research of Mathematics and Mathematics Education Vol. 7 No. 1 (2025): EDISI APRIL
Publisher : Program Studi Pendidikan Matematika Universitas Katolik Santo Agustinus Hippo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38114/reimann.v7i1.85

Abstract

The low emphasis on mathematical operation concepts in elementary school students is a problem that is often encountered. The educational game method in learning can improve the idea of mathematical operations. The quantitative study was conducted by collecting Pretest-Posttest answers in offline worksheets in the classroom. The research subjects were 5th-grade students of SD Negeri 4 Mataram. We analyzed the data by paired sample t-test to see whether the initial hypothesis was accepted or rejected. Based on the results, it is observed that the use of educational game methods can significantly improve the concept of mathematical operations for 5th-grade students. The obtained grades increase from a minimum of 25% to a maximum of 100%, with an average increase of 57.22%. Based on these findings the researcher provides the following recommendations: (1) Teachers should present variations of math learning so that students are not bored and interested during the learning process (2) Schools should support learning by providing the necessary learning materials so that learning objectives can be achieved. (3) Researchers should study methods other than educational game methods so that they can provide recommendations to teachers regarding effective learning methods to be applied in learning.
Design of Facial Expressions Recognition for Academic Presence By Using Backpropagation Artificial Neural Networks Based on Principal Components Analysis Setiawati, Setiawati; Zahro, Uswatun Az; Robbaniyyah, Nuzla Af'idatur; Ihwani, Ivan Luthfi
Semeton Mathematics Journal Vol 1 No 2 (2024): Oktober
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v1i2.240

Abstract

There are 4,004 universities in Indonesia where each university needs data to find out student activities, one of which is through attendance. Some universities in Indonesia still use manual attendance systems and attendance systems through the website. This system has several obstacles that require solutions. Therefore, a more concise system is needed to assist students in filling in the attendance. This research aims to make a design to make academic presence for students by using neural network. There are many methods that can be used to create this system including using Principal Component Analysis (PCA) based on Backlpropagation Neural Network (BNN) because it can help the system perform faster and more accurately without losing important information. After carrying out a series of steps of algorithm designed for student attendance, we get the recognition of facial image expressions by using ANN Backpropagation and recognition of facial image expression with PCA.
Co-Authors Adawiya, Robiatul Anjani, Mutia Dewi Ardiyaningrum, Martalia Ariyadi Wijaya Aryani, Anggi Erna Hisda, Laylatul Lansuna, Ni Wayan Eka Maharani, Andika Ellena Saufika Hakim Rahayu Condro Murti Rino Richardo Robbaniyyah, Nuzla Af'idatur Setiawati Setiawati Siti Irene Astuti Dwiningrum Wulan, Lalu Gede Damar Zahro, Uswatun Az