Jurnal Fourier
https://mail.fourier.or.id/index.php/FOURIER
<p>Jurnal Fourier is a Scientific Journal that integrates and develops the science of Mathematics and its learning which is integrated and interconnected with Islamic values published since 2012 with the frequency of published 2 times a year with the main language (Indonesian and English) which the reviewer process according to the discipline (Analysis, Algebra, Applied Mathematics, Statistics, and Mathematics Education).</p>Program Studi Matematika Fakultas Sains dan Teknologi UIN Sunan Kalijaga Yogyakartaen-USJurnal Fourier2252-763XModular Version of The Total Vertex Irregularity Strength for The Generalized Petersen Graph
https://mail.fourier.or.id/index.php/FOURIER/article/view/237
<p style="font-weight: 400;"><strong>Let </strong><strong> be a graph. A labeling graph is a maps function of the set of vertices and/or edges of </strong><strong>, to the set of positive integers. A total modular labeling is said to be a </strong><strong>-modular total irregular labeling of the vertices of </strong><strong>, if for every two distinct vertices </strong><strong> and </strong><strong> in </strong><strong>, the modular weights are different, and belong to the set of integers </strong><strong>. The minimum </strong><strong> such that the graph </strong><strong> has a </strong><strong>- modular total irregular labeling is called the modular total vertex irregularity strength and denoted by </strong><strong>. In this paper, we study about the modular total vertex irregularity strength for the generalized Petersen graph </strong><em><strong>. </strong></em><em><strong>The result show that the exact value is</strong></em> <strong><em>.</em></strong></p>Dina Khairani NasutionSusilawati
Copyright (c) 2025 Dina, Susilawati
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2025-04-302025-04-301411810.14421/fourier.2025.141.1-8Classification of Wood Types Based on Wood Fiber Texture Using GLCM - ANN
https://mail.fourier.or.id/index.php/FOURIER/article/view/214
<p><strong>In Indonesia, various types of wood grow and develop with various characteristics and benefits. Each type of wood has differences in texture and fiber, to classify it must have sufficient knowledge about the texture and fiber of wood. A wood species identification system is needed to help the classification process. The purpose of this research is to classify Teak Wood, Sengon Wood, Mahogany Wood, and Gmelina Wood which are often sold in Indonesia. The classification method used in this research is Artificial Neural Network with Gray Level Co- occurrence Matrix (GLCM) extraction. Pre-processing stages include Histogram Equalization, filtering, converting images into grayscale form, and data augmentation. Feature extraction of pre-processing results using GLCM is taken, namely contrast, correlation, energy, homogeneity, and entropy. From the research results, classification using Artificial Neural Network was obtained with 46% accuracy, 43% precision, 42.5% recall, and 42% F1-Score with a GLCM inclination angle of 90°. So, this method can be used to classify the types of wood, but it is less accurate because there are still deficiencies in the model. </strong></p>Intan Karunia Septiani SeptianiWika Dianita UtamiNurissaidah UlinnuhaDino Ramadhan
Copyright (c) 2025 Intan Karunia Septiani Septiani, Wika Dianita Utami, Nurissaidah Ulinnuha, Dino Ramadhan
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2025-04-302025-04-3014192010.14421/fourier.2025.141.9-20Peningkatan Kemampuan Kolaborasi dan Komunikasi Matematis Peserta Didik Kelas X SMA Melalui Penerapan Model Cooperative Learning Tipe TGT Terintegrasi CASEL
https://mail.fourier.or.id/index.php/FOURIER/article/view/220
<p><strong>Abstra</strong><strong>k</strong> </p> <p><strong>Penelitian ini dilatarbelakangi oleh rendahnya kemampuan kolaborasi dan komunikasi matematis peserta didik kelas X-A SMA Muhammadiyah 1 Yogyakarta, yang tercermin dari hasil asesmen diagnostik dan pernyataan peserta didik tentang kesulitan dalam pengerjaan soal matematika. Penelitian ini bertujuan untuk meningkatkan kemampuan kolaborasi dan komunikasi matematis melalui penerapan model pembelajaran kooperatif tipe Teams Games Tournament (TGT) yang terintegrasi dengan pendekatan CASEL. Metode yang digunakan dalam penelitian ini adalah Penelitian Tindakan Kelas (PTK) dengan instrumen lembar observasi untuk mengukur kemampuan kolaborasi dan tes untuk menilai komunikasi matematis. Indikator kolaborasi meliputi produktivitas, partisipasi aktif, penghargaan terhadap pendapat kelompok, fleksibilitas, dan tanggung jawab, sementara indikator komunikasi matematis meliputi pengungkapan situasi dalam bahasa matematika, penyajian penyelesaian secara terstruktur, dan evaluasi ide matematis. Hasil penelitian menunjukkan peningkatan signifikan pada kemampuan kolaborasi dan komunikasi matematis peserta didik setelah penerapan model TGT. Rata-rata nilai tes komunikasi matematis meningkat dari 64% pada siklus I menjadi 90% pada siklus II, sedangkan kemampuan kolaborasi meningkat dari 62% menjadi 73%. Peserta didik menunjukkan keterlibatan yang lebih aktif dalam diskusi dan saling mendukung selama pembelajaran, yang berkontribusi pada peningkatan kemampuan penyelesaian soal matematika. Hasil ini menunjukkan bahwa penerapan model TGT efektif dalam meningkatkan kemampuan kolaborasi dan komunikasi matematis peserta didik.</strong></p> <p><strong> </strong></p> <p><strong>Kata Kunci</strong>: CASEL, Kolaborasi, Komunikasi, Matematis, TGT</p> <p><strong> </strong></p> <p><strong>Abstra</strong><strong>ct</strong></p> <p><strong>This research is motivated by the low ability of mathematical collaboration and communication of class X-A students of SMA Muhammadiyah 1 Yogyakarta, which is reflected in the results of diagnostic assessments and student statements about difficulties in working on mathematics problems. This study aims to improve mathematical collaboration and communication skills through the application of the Teams Games Tournament (TGT) type cooperative learning model integrated with the CASEL approach. The method used in this study is Classroom Action Research (CAR) with observation sheet instruments to measure collaboration skills and tests to assess mathematical communication. Collaboration indicators include productivity, active participation, respect for group opinions, flexibility, and responsibility, while mathematical communication indicators include expressing situations in mathematical language, presenting solutions in a structured manner, and evaluating mathematical ideas. The results showed a significant increase in students' mathematical collaboration and communication skills after the application of the TGT model. The average mathematical communication test score increased from 64% in cycle I to 90% in cycle II, while collaboration skills increased from 62% to 73%. Students showed more active involvement in discussions and supported each other during learning, which contributed to improving their mathematical problem-solving abilities. These results indicate that the implementation of the TGT model is effective in improving students' mathematical collaboration and communication abilities.</strong></p> <p><strong>Keywords</strong>: CASEL, Collaboration, Communication, Mathematical, TGT</p>Lathifah Siti Nur AzizahAnisa AmaliaPuguh Wahyu Prasetyo
Copyright (c) 2025 Lathifah Siti Nur Azizah, Anisa Amalia, Puguh Wahyu Prasetyo
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2025-04-302025-04-30141212810.14421/fourier.2025.141.21-28