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This study aims to examine the application of the Hungarian method in solving assignment problems based on linear programming, particularly in optimizing work time allocation. Through a literature review of 15 research articles, it was found that the Hungarian method consistently proves effective in improving work efficiency, reducing time waste, and optimally matching resources with appropriate tasks. These studies reported reductions in work time ranging from 3 to 663 minutes after applying the method, depending on the complexity and context of each case. Additionally, integrating the Hungarian method with software tools such as POM-QM and LINGO further accelerates the optimization process. The findings indicate that the Hungarian method is a practical, flexible, and relevant mathematical approach across various sectors, supporting operational decision-making in an objective and efficient manner.

A number of studies have discussed the development and implementation of e-modules based on the Contextual Teaching and Learning (CTL) approach at various levels of education. However, there is no study that systematically reviews and maps the development of research in this field. This study aims to provide a bibliometric overview of the development of studies on the use of CTL-based e-modules. A total of 13 scientific articles published in the period 2015 to 2025 were analyzed, with data obtained from Google Scholar using Publish or Perish software. The analysis was carried out descriptively and bibliometrically with the help of VOSviewer to visualize growth trends and thematic maps of the topics studied. This research focuses on two main aspects, namely: (a) the growth trajectory of studies related to the use of CTL-based e-modules; and (b) mapping the most researched themes and main topics. Results show a significant increase in interest since 2020, with the focus shifting from the introduction of CTL concepts towards the development, validation, and implementation of e-modules in learning. Visualization with VOSviewer also shows contextual teaching, e-module, and student as the dominant keywords in recent research. This finding is expected to be an initial reference for further research in this area.

This study aims to review the potential use of xFunc software in improving junior high school students' computational thinking skills in mathematics learning. The method used is a descriptive literature study by analyzing 10 selected articles from 72 articles searched through Publish or Perish in the period 2019–2024. The results of the study indicate that although it has not been studied much directly, xFunc has features that are relevant to computational thinking components, such as decomposition, algorithms, and visualization of mathematical expressions. These findings recommend the need for further empirical research to optimize the integration of xFunc as an interactive learning medium at the junior high school level.

In the era of increasing digitalization, the integration of technology in education is becoming increasingly important. One area that has received a major contribution from technology is mathematics education at the secondary school (SMA) level. The use of mathematics software has become a highly effective tool for teachers and students in understanding complex mathematical concepts, developing computational skills, and solving problems more efficiently and interactively. This article analyzes various literature studies related to the use of mathematics software in high school, with a focus on developing students' computational thinking abilities. Computational thinking (CT) abilities, which were first introduced by Seymour Papert, are important skills that help students in decision making and problem solving. Various studies show that the integration of CT in educational curricula, particularly through teaching programming and the use of mathematical software, can improve students' computing skills. Although there are challenges in implementation, such as lack of infrastructure and teacher training, this study highlights the importance of using technology in mathematics education to create a dynamic, interactive, and relevant learning environment. This research aims to provide a comprehensive analysis of literature studies related to the use of mathematics software in high school and its influence on the development of students' computational thinking skills. By understanding the findings from previous studies, it is hoped that this research can make a significant contribution to designing a more effective mathematics curriculum and provide practical guidance for educators in integrating mathematics software in everyday learning. The results of the analysis show that technology-based interactive learning methods, the use of special software such as Matlab and Geogebra, as well as programming training with languages ​​such as Java and Python, all show positive results in improving students' computing skills. However, there is still a need to improve abstract thinking skills and address variations in computational abilities among students.

Developing computational thinking skills in the modern era of mathematics education is becoming increasingly important. Mathematical software such as Photomath offers exciting potential in supporting the development of these capabilities. This article presents an in-depth analysis of the role of Photomath in developing students' computational thinking skills through a literature review study. By identifying and evaluating relevant literature, this article explains Photomath's contribution to the understanding of mathematical concepts and problem-solving processes. The results of the analysis provide valuable insight into the impact of using Photomath on mathematics learning and the development of students' computational thinking skills.

In this journal, we analyze the basic concept of programming algorithms, which is the main basis for software development. The algorithm itself is a structured set of steps to solve a problem. Then in this journal the author presents an in-depth explanation of what is meant by algorithm, structure, steps and others. This article uses a descriptive method where the author first analyzes, summarizes and describes different situations, conditions from several different sources which are then collected into an article or writing. Collecting data or information sources is carried out using library research techniques from journals, books or internet media which are used as reference material or references relating to the title discussed, namely the basic concept of programming algorithms with more accurate data and clear sources.

Mathematics is a discipline characterized by its abstract nature and reliance on logical reasoning. Therefore, it is essential to choose a teaching method that facilitates students' comprehension of the subject matter and fosters their logical thinking abilities. The software is a suitable form of media for the latest advancements in technology. Presently, technology is advancing at a rapid pace and is not only utilized in daily life but can also be employed in the process of learning mathematics. Software facilitates students' comprehension of lessons by enabling them to effortlessly solve questions. Furthermore, the Maple Calculator program is a straightforward and practical tool. The Maple calculator software offers a range of tools to assist students in solving mathematical problems, including integrals and trigonometry. It provides numerous features and functionalities. It has the potential to assist students in resolving their difficulties and is anticipated to enhance students' motivation for studying mathematics. The objective of this publication is to examine the proper and accurate utilization of the Maple Calculator program.

Algorithms are at the core of computer science and play an important role in computer programming. Programming aims to tell the computer to perform certain functions. Computer instructions provide a set of instructions written in a language that the computer can understand. Programming algorithms consist of various detailed sequential steps aimed at solving various computer programming problems. A computer is an electronic device capable of receiving, processing, storing and creating information. In general, a computer is a machine that is used to perform various tasks, such as data processing, calculations, storing information, and executing predefined programs. Computers are divided into two parts, namely hardware and software which work together to support various types of computers and applications. Some applications of algorithms in computer science learning are data compression algorithms, binary search algorithms, linear search algorithms, repetition algorithms and hashing algorithms. When writing and creating an algorithm, you don't really focus on the programming language, so there are lots of algorithms used in programming. The purpose of this scientific work is to find out how important it is to apply programming algorithms in computer science learning. In order to achieve this goal, a literature study research method was carried out.

An algorithm is a series of steps to solve a structured problem in a systematic and logical manner. Algorithms help solve problems quickly and accurately. In the modern era dominated by technology and computing, programming has become an inevitable skill in various aspects of life. One's success in solving technical and non-technical problems often depends on a deep understanding of programming algorithms. Algorithms are logical steps used to solve problems, and a solid understanding of algorithms opens the door to exceptional problem-solving abilities. This article will cover the basic concepts of algorithms, effective teaching methods, as well as case studies that demonstrate the real impact of understanding algorithms in improving problem-solving skills. This research aims to investigate the benefits that individuals gain in improving their problem-solving skills through understanding programming algorithms. The writing of this article uses the library research method. The result of this research is that there are many benefits gained from understanding algorithms in solving problems both in software and in the real world.

Modeling has been carried out using the STARS software to analyze the structure and chemical composition of a primary star with a mass of 2.24M_⊙ type Algol. Algol type stars are close binary star systems that experience the Algol pradox. The Algol paradox is a situation where a star with a smaller mass turns out to have evolved further than a star with a larger mass. The results of this modeling are (1) HR diagrams (2) star structure graphs and (3) graphs of star chemical composition as a function of radius.