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Journal Focus Action of Research Mathematic (Factor M)
Published by Institut Agama Islam Negeri Kediri
ISSN : 26553511     EISSN : 2656307X     DOI : https://doi.org/10.30762
Core Subject : Education,
Education Mathematics Other
Journal Factor M focuses on the main issues in mathematics education and applied mathematics. In addition, Journal Factor M also discusses issues that generally exist in the field of mathematics education.
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 9 Documents
 1 
Search results for , issue "Vol. 7 No. 2 (2024): December 2024" : 9 Documents clear
Analysis of students' errors in solving quadratic equation word problems based on Watson's criteria Taufik, Azin; Prayitno, Anggar Titis; Mufida, Tika Nuanatul; Lathifah, Galuh Nuril
Journal Focus Action of Research Mathematic (Factor M) Vol. 7 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v7i2.2642

Abstract

This research is motivated by the phenomenon of low student ability in solving word problems in mathematics, indicating significant challenges in understanding and applying mathematical concepts in real-life contexts. The aim of this study is to describe the errors made by students and the factors contributing to these errors in solving word problems based on Watson's criteria. This research employs a descriptive qualitative approach. The data collection methods used include tests and interviews. A total of 29 tenth-grade students from SMA Negeri Cigugur were given test problems, and subsequently, 16 students were selected as research subjects, representing each of Watson's error criteria. Data analysis was conducted through data reduction, data presentation, and conclusion drawing. The results indicate that the most common types of errors made by students include omitted data (OD), inappropriate procedures (IP), such as incorrect procedures, response level conflicts (RLC), and inappropriate data (ID). Some of the factors contributing to these errors include failure to draw conclusions from the obtained data, lack of understanding of quadratic equations, and insufficient student preparation in solving problems. On the other hand, less frequently occurring errors include above other (AO), omitted data (OD), undirected manipulation (UM), and skill hierarchy problems (SHP). The factors causing these less frequent errors are generally related to students' lack of attention to detail and accuracy in problem-solving. This research provides significant contributions as a foundation for teachers to design more effective teaching strategies, particularly in enhancing students' conceptual understanding and problem-solving skills.
Vector Autoregressive (VAR) modeling for weather forecasting in Madura Yudistira, Ira; Kuzair; Faisol
Journal Focus Action of Research Mathematic (Factor M) Vol. 7 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v7i2.3486

Abstract

Air temperature, air humidity and sunlight are interconnected weather elements. The high and low intensity of solar radiation affects air temperature, while air temperature affects air humidity.  These three elements have an important role in global climate change and human activities on earth. In the agricultural sector, air temperature, air humidity and sunlight influence plant growth and development. These three elements also influence the water supply on earth. Information about these three weather elements is very important for Madura, where the majority of the population are farmers and planters, to determine more effective planting patterns. This research aims to create a model that can predict these three elements so that Madurese farmers and planters can plan planting patterns. A forecasting model that is able to handle predictions of several correlated variables is the Vector Autoregressive (VAR) model. The forecasting model obtained in this research is the VAR(5) model. MAPE for air temperature shows accurate forecasting results with a value of 2.3186%, while for air humidity and solar radiation shows quite accurate forecasting results with values ​​of 29.6125% and 36.4231% respectively.
The concept structure of student in mathematical literacy Sopandi, Hadi; Supratman; Dewi, Sinta Verawati
Journal Focus Action of Research Mathematic (Factor M) Vol. 7 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v7i2.3757

Abstract

Mathematical literacy is crucial for students to apply mathematical concepts in real-world contexts. This study investigated the structure of students' concepts in mathematical literacy, focusing on a case study of a single eighth-grade student (S11) at SMP Negeri 9 Kota Tasikmalaya, Indonesia. Using a qualitative exploratory approach, the research employed a modified PISA mathematical literacy test, followed by a semi-structured interview and analysis of the student's work. Data analysis followed the interactive model proposed by Miles and Huberman which involved three concurrent flows of activity namely data reduction, presentation and conclusion drawing. The results revealed that S11 only met the assumption indicator of mathematical literacy, leading to an incomplete and inaccurate conceptual structure. The study identified multiple instances of concept structure fragmentation, specifically hole construction fragmentation and pseudo-construction fragmentation. These fragmentations were attributed to limited reading comprehension skills, incomplete recording of question information, failures in mathematical concept construction (particularly in division), difficulties in assimilating and accommodating new information, and lack of social interaction with more competent individuals. These results provide valuable insights into students' challenges in applying mathematical concepts to practical scenarios.
Problem-Based Learning (PBL) Model to improve numeracy skills and self-confidence of middle school students Melissa, Margaretha Madha; Laila , Erfiana Nur; Ningrum, Marcelia Puspita; Kusuma , Odilia Rosa
Journal Focus Action of Research Mathematic (Factor M) Vol. 7 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v7i2.2622

Abstract

Numeracy is important to develop because it is related to students' ability to solve mathematical problems in everyday life. This research aims to improve students' numeracy and self-confidence through the application of the Problem Based Learning (PBL) learning model. The type of research is classroom action research (CAR) with an adaptation of the Kemmis and Mc Taggart model. The subjects of this research were 30 class VII students at SMP Negeri 1 Depok. The data collection instruments used included a self-confidence questionnaire and numeracy test. Data analysis techniques for self-confidence questionnaires and numeracy test results are averaged, categorized and the gain score value analyzed. The results of this research show that students' numeracy and self-confidence increase after PBL learning. The increase in students' numeracy can be seen from the gain-score of students’ numeracy test from Cycle 1 to Cycle 2. The Problem Based Learning model also increases students' self-confidence based on the increase in categories achieved by students from Cycle 1 to Cycle 2. Therefore, the researcher Others can use the PBL model to increase students' self-confidence and numeracy in other materials.
Analysis of students' dual processes in solving number pattern questions and providing scaffolding Firnanda, Ganis Irma; Susiswo
Journal Focus Action of Research Mathematic (Factor M) Vol. 7 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v7i2.3499

Abstract

This research aims to describe students' dual-process in solving number pattern questions and scaffolding that support students' dual-process. This research uses a qualitative research approach with a case study type. The subjects of this research were two 10th grade high school students. The subjects' written answers, recorded interviews, and researcher notes were used as the basis to analyze the subjects' dual-process and scaffolding. There are three findings from this research. First, subjects tend to activate mental processes that are automatic, subjective-empirical, and often occur unconsciously in solving number pattern questions. Second, errors occur due to the subject's tendency towards one of the mental processes which are automatic, subjective-empirical, and often occur unconsciously. Third, scaffolding in the form of questions and instructions by the researcher supports the activeness of the subject's mental processes which are empirically accurate and involve deeper consideration more thorough analysis, and greater consciousness in decision-making, thereby helping the subject correct his mistakes when solving number pattern questions. The findings of this research indicate that the tendency to activate mental processes that are automatic, subjective-empirical, and often occur unconsciously can cause disadvantages. Therefore, the learning process needs strategies that support students to optimize both mental processes. Teacher training that focuses on learning strategies that support students to optimize the use of both mental processes needs to be held regularly.
Application of binary logistic regression analysis to factors that influence participation in the 2024 presidential election Ahadiyah, Kurnia; Dewi, Ardiana Fatma; Romadewanti, Shinta Hircatanu
Journal Focus Action of Research Mathematic (Factor M) Vol. 7 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v7i2.3703

Abstract

Social media plays a very influential role, especially in the world of politics and elections. The 2024 elections in Indonesia show how social media can influence political dynamics. This research aims to analyze the influence of social media on the political participation of IAIN Kediri students in the 2024 Presidential Election, as well as understand how social media shapes public opinion and polarizes political views, with a focus on its impact on political participation among students. Data from the Indonesian Internet Service Providers Association (APJII) shows that the majority of the Indonesian population actively uses social media, so political candidates use platforms such as YouTube, Facebook, Instagram, and TikTok to attract support. Social media accelerates the delivery of political messages and has the potential to strengthen polarization and spread misleading information. In this research, a binary logistic regression model is used to analyze the factors that influence student participation in the 2024 presidential election. The findings show that students who actively follow news in mass media have a 7,157 times greater chance of participating in the 2024 presidential election compared to those who do not follow the news. These results emphasize the importance of social media in motivating political participation among students and provide insight into how social media can be utilized to improve the integrity and quality of democracy.
Development of scientific-based interactive multimedia with polyhedron material Rani, Rosa Fachma; Akhyar, Muhammad Khoiril; Ilmiyah, Nur Fadilatul; Günerhan, Hatıra
Journal Focus Action of Research Mathematic (Factor M) Vol. 7 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v7i2.3767

Abstract

The increasing integration of technology within educational settings underscores a critical need for the development and rigorous validation of digital learning resources capable of enhancing pedagogical effectiveness and fostering meaningful student engagement. This research directly addresses this imperative by detailing the systematic design, meticulous development, and comprehensive evaluation of a scientific-based interactive multimedia tool specifically crafted for the instruction of polyhedron concepts. The researchers used one of R&D (Research and Development) model as development procedures, that is Five steps of the ADDIE development model— Analysis, Design, Development, Implementation, and Evaluation. With an average score of 92.2% from expert material and 87.1% from experts media, these results indicate that the designed product is valid. In the product practical test, an average score of 90.2% was obtained, which shows that the product produced is practical. The n-gain formula is used to determine the product effectiveness. Based on this test, the results obtained were 0.67 in small scale testing and 0.64 in large scale testing. Both of the results are included in the medium criteria, which means that the product developed is quite effective. The study's findings demonstrate that the created products are of excellent quality, can be effectively used to enhance learning, and get positive feedback from students.
Artificial neural network method for forecasting price of purebred chicken egg in East Java Rohmah, Ni'matur; Mufaidah, Iid
Journal Focus Action of Research Mathematic (Factor M) Vol. 7 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v7i2.3798

Abstract

Purebred chicken eggs are a staple food source commodity that is widely chosen by the community because it has an affordable price with high protein content and sufficient availability. However, even though availability of purebred chicken eggs is sufficient, there is still a problem, namely very fluctuating prices. Efforts to read these uncertain market conditions are urgently needed for decision-making by producers, consumers, and even the government, one of which is by forecasting prices. Forecasting can be used to predict future conditions by looking at trends in past conditions. This study uses Artificial Neural Network method with a feed-forward backpropagation algorithm. The purpose of this study is to determine price forecasting architecture using ANN and forecast price of purebred chicken eggs in East Java in 2024 and 2025. The research data used is monthly price of purebred chicken eggs in East Java province from 2018 to 2024. The results of study produced best architecture, 12-12-1. The resulting training Mean Square Error value was 0.00099947 with an accuracy of 98.01%, MSE of the test was 0.023797 and MAPE value was 0.164254. Based on MAPE values generated by forecasting using Artificial Neural Network, it has a good level of forecasting ability.
Dynamical analysis of a mathematical model on the spread of diphtheria disease with vaccination completeness factors Izzati, Nailul; Yannuansa, Nanndo; Ummah, Imamatul; Wati, Dian Anisa Rokhmah; Indahwati, Elly; Purwasih, Silviana Maya; Kholis, Nur
Journal Focus Action of Research Mathematic (Factor M) Vol. 7 No. 2 (2024): December 2024
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/f_m.v7i2.3901

Abstract

The COVID-19 pandemic has impacted many aspects of life, including immunization services. As a result of disruptions in these services, tens of millions of children worldwide are at risk of contracting diphtheria, hundreds of thousands of infants did not receive complete DPT immunization, and more than a million infants missed BCG vaccination at birth. Over the past three years, there has been an increase in mortality rates, reaching 10.6% in 2022. Additionally, the number of diphtheria cases in 2022 was more than twice that of 2021. To address the re-emerging of diphtheria, various studies have been conducted, one of which is through mathematical modeling, which can be useful in predicting the dynamics of disease spread and devising strategies to control it. This study developed a mathematical model to describe the dynamics of diphtheria spread with the influence of vaccination completeness. The dynamical analysis method used is by analyzing the eigenvalues and numerical calculation, while numerical simulations employ Fourth Order Runge-Kutta Method. Results from the dynamical analysis and numerical simulations indicate that the disease-free equilibrium point is stable if basic reproduction number , and the endemic equilibrium point is feasible and stable if . Moreover, increasing the vaccination completeness factor within a given population can aid in efforts to prevent the spread of diphtheria. Based on the simulation of the scenarios developed in this study, diphtheria will not become endemic when the vaccination completeness factor reaches 90% and the treatment rate reaches 30%.

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