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ARRUS Journal of Mathematics and Applied Science
Published by Yayasan Ahmar Cendekia Indonesia
ISSN : 27767922     EISSN : 28073037     DOI : https://doi.org/10.35877/mathscience.v1i1
Core Subject : Science, Education,
Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Mathematics Physics
Aim: To drive forward the fields related to Applied Sciences, Mathematics, and Its Education by providing a high-quality evidence base for academicians, researchers, scholars, scientists, managers, policymakers, and students. Scope: The focus is to publish papers that are authentic, original, and plagiarism free and should in interest of society and the world.
Arjuna Subject : Umum - Umum
Articles 3 Documents
 1 
Search results for , issue "Vol. 5 No. 1 (2025)" : 3 Documents clear
Geometric Programming: A Literature Review and Thematic Research Developments Mas'ud, Syamsuddin
ARRUS Journal of Mathematics and Applied Science Vol. 5 No. 1 (2025)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience3896

Abstract

This study examines Geometric Programming (GP) developments from 2014 to 2024 through a systematic literature review, focusing on theoretical advancements (e.g., successive convexification, weighted-sum fuzzy GP), model generalizations (e.g., Robust GP, Neutrosophic GP), and integration with AI/ML. Using thematic analysis of peer-reviewed publications and case studies, the results demonstrate GP’s unique capability to transform nonconvex problems into convex forms via logarithmic transformations, enabling efficient solutions for energy systems and logistics. While GP has achieved global maturity with tools like CVXPY and GPkit, its adoption in Indonesia remains limited despite relevance to archipelagic energy distribution and infrastructure planning (e.g., IKN). The study identifies critical requirements for local implementation: context-specific validation, enhanced computational capacity, and interdisciplinary collaboration, providing a strategic framework for GP’s evidence-based application in Indonesia.
Classification Of Hypertension Using Methods Support Vector Machine Genetic Algorithm (SVM-GA) Fahmuddin S, Muhammad; Rais, Zulkifli; Yuniar, Eka Citra
ARRUS Journal of Mathematics and Applied Science Vol. 5 No. 1 (2025)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience3976

Abstract

Support Vector Machine (SVM) is a machine learning method for classifying data that has been successfully used to solve problems in various fields. The risk minimization principle used can produce an SVM model with good generalization capabilities. The problem with the SVM method is the difficulty in determining the optimal SVM hyperparameters. This research uses Genetic Algorithm (GA) to optimize SVM hyperparameters. GA optimization on SVM is used to classify hypertension. From the result of classification analysis using GA, it shows good accuracy value performance, namely 100% compared to using only SVM.
Multimedia-Based Mathematics Teaching Materials for Eighth Grade Students at SMP Negeri 1 Dua Boccoe, Bone Regency Musa, Hastuty; Maghfirah, Fatwa Ridha; Rusli, Rusli; Rahman, Abdul
ARRUS Journal of Mathematics and Applied Science Vol. 5 No. 1 (2025)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/mathscience4176

Abstract

The purpose of this study is to create multimedia-based teaching resources on quadrilaterals for eighth-grade students at SMP Negeri 1 Dua Boccoe. Research and development (R&D) is the methodology employed, and the ADDIE development model serves as the basis for the procedures. One math instructor, twenty-five eighth-grade students from SMP Negeri 1 Dua Boccoe, as well as media and content specialists, are the research subjects. In order to ascertain the practicality of the teaching materials in terms of learning quality, interest, and student independent learning, the following research instruments were used: (1) a material validation sheet by content experts, which aimed to assess the material content's suitability with the curriculum and learning objectives; (2) a material validation sheet by media experts, which aimed to assess the appearance, design, and feasibility of the multimedia used; and (3) a teacher response questionnaire. According to the study's findings, the instructional materials were deemed legitimate after being evaluated by media experts with a 95% approval rate and content experts with a 96% approval rate. Furthermore, based on the results of the teacher and student questionnaires, which covered ease, interest, and autonomous learning, the teaching materials were deemed practical with a 94% and 93% percentage, respectively. As a result, the multimedia-based teaching resources for mathematics for Class VIII pupils are deemed appropriate, fulfilling the requirements of being legitimate and useful for teaching the subject of quadrilaterals.

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