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All Journal MATHunesa: Jurnal Ilmiah Matematika Uninus Journal of Mathematics Educations and Science (UJMES)
Nuraini, Anggun
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Mathematics

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ANALISIS STRATEGI PENYELESAIAN PROGRAM LINIER MELALUI PENDEKATAN MODEL MATEMATIKA Nuraini, Anggun; Octarina, Sisca; Puspita, Fitri Maya; Yuliza, Evi
Uninus Journal of Mathematics Education and Science (UJMES) Vol. 11 No. 1 (2026): Januari 2026
Publisher : Universitas Islam Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30999/ujmes.v11i1.3781

Abstract

Mathematical modeling plays an essential role in mathematics learning, particularly in developing students analytical and problem-solving skills. Linear programming, as one of the core topics in optimization, often presents conceptual difficulties for students when linking abstract mathematical formulations to real-world problems. This study aims to analyze learning strategies for teaching linear programming through the implementation of mathematical modeling to improve students conceptual understanding and reasoning abilities. A descriptive qualitative approach was employed, focusing on literature review and classroom observations related to the used of mathematical models in teaching linear programming. The findings show that incorporating modeling steps-such as problem identification, variable formulation, and interpretation of result-helps students comprehend abstract mathematical ideas more effectively. Moreover, the integration of mathematical modeling encourages active learning and promotes students engagement in solving contextual problems. In conclusion, the use of mathematical modeling as a learning strategy provides a meaningful framework that enhances understanding, crirical thinking, and problem-solving skills in linear programming instruction.
PEMANFAATAN TEORI GRAF DALAM PEMODELAN DAN ANALISIS STRUKTUR JARINGAN DENGAN PENEKANAN PADA KONSEP KONEKTIVITAS DAN LINTASAN Nuraini, Anggun
MATHunesa: Jurnal Ilmiah Matematika Vol. 13 No. 3 (2025)
Publisher : Universitas Negeri Surabaya

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Abstract

Teori graf merupakan salah satu cabang matematika diskrit yang berfokus pada representasi dan analisis struktur jaringan melalui simpul (vertices) dan sisi (edges). Konsep konektivitas dan lintasan menjadi aspek penting dalam pemodelan berbagai system, karena keduanya menentukan sejauh mana elemen dalam jaringan dapat saling terhubung serta bagaimana jalur optimal dapat ditemukan. Pemodelan jaringan berbasis teori graf memungkinkan pemahaman lebih mendalam terhadap struktur kompleks, baik pada system transportasi, komunikasi, maupun jaringan biologis. Metode yang digunakan dalam kajian ini bersifat deskriptif analitis dengan meninjau literatur terkini mengenai teori graf dan penerapannya. Hasil analisis menunjukan bahwa konektivitas berperan dalam menjaga keterhubungan system secara menyeluruh, sedangkan lintasan mendukung efisiensi interaksi antar simpul. Kesimpulannya, integrasi kedua konsep ini dapat meningkatkan efektivitas desain, evaluasi, dan optimasi jaringan.
Co-Authors Evi Yuliza, Evi Fitri Maya Puspita Sisca Octarina