Open Access journal ISSN (Print) 2613-9073 - ISSN (Online) 2613-9081 This journal is no longer being updated because: the publisher no longer provides RSS feeds
Authors:Riefyal Arshyza Mustain, Muhammad Muhajir, Pandri Ferdias, Nurirwan Saputra Pages: 109 - 120 Abstract: In accelerated and equitable development in the Kediri City, the Kediri City Government launched the Community Empowerment Program called Prodamas. Prodamas aims to develop and encourage community participation in development at the Neighbourhood Level. To increase the dissemination of information about Prodamas, digital technology can be used as an information service provider. One of them is Chatbot. To develop Chatbots, Natural Language Processing, which is a branch of Artificial Intelligence, has become the most frequently used computer program. This Prodamas chatbot development uses the pattern matching method as an answer search algorithm and Support Vector Machine (SVM) classification as a method to see the machine's level of accuracy in answering questions given by users. Furthermore, the chatbot will be connected to WhatsApp so that it is expected to be able to provide and provide information about Prodamas. The results of testing the chatbot response with new questions provide an accuracy of 79%. Then testing the classification of the new question text with SVM. Obtained an accuracy of 88% with a precision value of 91% and a recall of 88%. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.17264 Issue No:Vol. 6, No. 2 (2023)
Authors:Thitra Padma Rani, Sugeng Sutiarso Pages: 121 - 130 Abstract: The problem in this study is related to the less optimal ability to solve students' mathematical problems. Therefore, the purpose of this study was to find out and analyze the average difference in the ability to solve mathematical problems between students who apply the PBL model assisted by worksheets and those who apply the conventional learning model at one of the junior high schools in Tulang Bawang district. This study uses a quasi-experimental method. Samples were taken using the Cluster Random Sampling technique with a lottery procedure. The instrument in this study was an essay test. Hypothesis testing using t-test: prior to testing the hypothesis, prerequisite tests were first carried out, namely the normality test and homogeneity test. From the results of the hypothesis testing, it can be concluded that the application of the PBL model with the help of student worksheets can improve students' mathematical problem-solving abilities. Worksheets made with PBL syntax can facilitate and improve students' problem-solving abilities. This can be seen in the increase in the average value of the class that applies the PBL model PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.17071 Issue No:Vol. 6, No. 2 (2023)
Authors:Pelangi Mutia Windya, Sri Hastuti Noer Pages: 131 - 144 Abstract: Modeling abilities and student characteristics are very important in learning mathematics at school. One of the characteristics that must be considered is cognitive style. This study aims to describe the mathematical modeling abilities of students with field independent (FI) and field dependent (FD) cognitive styles in linear programming material. The design of this research is descriptive-qualitative. This study analyzed the mathematical modeling abilities, and then, using a purposive sampling technique, 4 subjects were selected as samples, 2 each for field independent (FI) and field dependent (FD) cognitive style subjects. Data on students' mathematical modeling abilities were obtained through task-based interviews and written tests, while cognitive style data were obtained through the Group Embedded Figure Test (GEFT) written test. The validity of the data was then tested using time triangulation and then analyzed through the stages of data reduction, presentation, and drawing conclusions. So, the results of this study indicate that in modeling problems, students who have a cognitive style of FI tend to be able to fulfill indicators of understanding actual problems, preparing mathematical models from real models, and interpreting mathematical results in real situations. whereas students who have a cognitive style like FD tend to only be able to understand the real problem. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.17073 Issue No:Vol. 6, No. 2 (2023)
Authors:Hella Jusra, Dita Nuranggraeni Pages: 145 - 152 Abstract: Students have the ability to solve difficulties that are perceived as inadequate; efforts are required to continue to enhance them. There is an idea that the main goal of learning mathematics is to produce students who can solve problems competently. Thus, the purpose of this study is to see if there is an effect of employing a problem-based learning paradigm aided by Google Sites on the mathematical problem-solving abilities of junior high school students. A quantitative experiment with a quasi-experimental design was employed as the research method. The sample approach used is non-probability sampling of the purposive sampling variety. The instruments used have been tested for validity and reliability. The data analysis technique uses prerequisite analysis tests, namely normality and homogeneity tests. Initial hypothesis testing was carried out using the Mann-Whitney U Test. The results of the study show that problem-based learning with Google Sites has an impact on the mathematical problem-solving abilities of junior high school students. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.18073 Issue No:Vol. 6, No. 2 (2023)
Authors:Mhd azmi zulkarnain, Syaiful Syaiful, Suratno Suratno Pages: 153 - 162 Abstract: The purpose of this study is to describe how the Problem Based Learning (PBL) learning model improves students' mathematical critical thinking skills on Pythagorean theorem material. A quasi-experimental design was used with a non-equivalent pre-test and post-test control group design. The researchers collected data on critical thinking skills using a descriptive test instrument. The data were analyzed using ANOVA with a significance level of 0.05. The result of data analysis shows that the critical thinking skills of students who learn with the PBL model are better compared to those of students who learn conventionally, and learning to use PBL has similarities to the effectiveness of improving students' critical thinking skills in low, medium, and high level subgroups. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.18087 Issue No:Vol. 6, No. 2 (2023)
Authors:Ajeng Sucitra Haryanza, Trisna Roy Pradipta Pages: 163 - 176 Abstract: This study was influenced by the low mathematical communication of students due to the learning system that still uses the traditional system. The application of the problem-based learning (PBL) model is very important. This research is based on a quantitative approach using a quasi-experimental type with a planning framework of a non-equivalent control group design and a post-test only. The population of this study was VIII-grade students at SMPIT AT-Taufiq in the 2022–2023 school year. The sample consisted of 26 students who received treatment (experimental class) and 25 students who did not receive treatment (control class). The information storage strategy is carried out using a written mathematical communication ability test tool of 7 questions with 3 indicators. The Mann-Whitney U test was used for hypothesis testing, and data analysis strategy was used to determine the effect of the problem-based learning (PBL) model on communication skills using effect size. This study resulted in a significance value of 0.000 <0.05, with 87% in the high category. Students who received the problem-based learning (PBL) treatment had a mean score of 88 compared to 75 for students who did not receive the treatment. In this study, we found that problem-based learning (PBL) for materials has an impact on the competence of the problem-based learning (PBL) model on students' mathematical communication skills. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.18297 Issue No:Vol. 6, No. 2 (2023)
Authors:Himatun Khoiriyah, Machrani Adi Putri siregar Pages: 177 - 184 Abstract: This study aimed to determine the effect of using the MEA learning model on improving students' mathematical problem-solving abilities. The MEA learning model is a model that teachers can use to improve students' problem-solving abilities. This research is meta-analytic, namely by collecting data from previous researchers and then finding the effect size of all the data that has been obtained. Many of the data points found that match this research have met the criteria when searched using Google Scholar with the specified keywords. This research analysis tool uses SPSS software version 29.0 and uses the Cohen formula in data analysis. The finding of the effect size of the entire data is 1.431, which is categorized as having a considerable influence. Based on moderator variable analysis, the number of samples with showed a larger effect size than . Furthermore, based on the level of education of junior high school students, it has an effect size that is categorized as having a large influence. This meta-analysis study shows that using the MEA learning model affects students' mathematical problem-solving abilities. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.18137 Issue No:Vol. 6, No. 2 (2023)
Authors:Md. Mizanur Rahman, Md. Masum Murshed, Nasima Akhter Pages: 185 - 190 Abstract: In this study, some linear PDEs and nonlinear PDEs are investigated using the homotopy perturbation method (HPM). The primary objective of this research is to employ the HPM as a tool for investigating a range of PDEs and extracting their analytical solutions. To clarify the practicality and efficacy of this method, we present illustrative examples of linear PDEs encompassing the classical heat, wave, and Laplace equations. Subsequently, a comparative analysis is performed, contrasting the outcomes derived from the HPM with established accurate solutions. Through this comparative approach, we aim to provide a comprehensive understanding of the HPM's applicability, robustness, and precision in solving a spectrum of PDEs. Our study contributes to the broader exploration of innovative mathematical techniques for tackling complex PDEs, while also shedding light on the potential advantages and limitations of the homotopy perturbation method in practical applications. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.17527 Issue No:Vol. 6, No. 2 (2023)
Authors:Md. Safik Ullah, Mst. Sima Akhter Mou, Md. Morshed Bin Shiraj, Md. Mizanur Rahman, Md. Masum Murshed, Nasima Akhter Pages: 191 - 208 Abstract: Every day, enormous complex geometric data are accumulating rapidly, and qualitative analysis is needed, which cannot be done properly without studying the shapes of those data. Persistent homology describes the homology of data sets of arbitrary size, producing state-of-the art results in data analysis across a significant number of fields and sparking a rigorous study of persistence in homology theory. In this study, persistent homology has been demonstrated as a homology theory by satisfying the Eilenberg-Steenrod axioms. A brief background on persistent homology groups has been written to understand their construction. Then other definitions of persistent homology based on functors and graded modules have also been reviewed. The Mayer-Vietoris-Vietorisfor persistent homology has been derived as a property of persistent homology. Subsequently, a long, exact sequence for persistent homology has been constructed. Furthermore, the stability of persistent homology has been examined carefully. Finally, the Diamond principle of persistent homology has been explained briefly. This study can be used to investigate new properties of persistent homology, among other benefits. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.17812 Issue No:Vol. 6, No. 2 (2023)
Authors:Md. dalim Haque, Nasima Akhter, Md. Masum Murshed Pages: 209 - 216 Abstract: This paper explores the concept of intuitionistic topological spaces, delving into their definitions and essential properties. It also examines intuitionistic topological subspaces, providing insights into their characteristics. Additionally, the paper investigates intuitionistic regular spaces and demonstrates their hereditary nature, specifically focusing on and . To illustrate these concepts in practical terms, the paper presents two real-world examples of intuitionistic sets. Through a comprehensive analysis of intuitionistic topological spaces and their subsets, the study sheds light on the inheritability of regularity in these spaces. Furthermore, the work emphasizes the significance of intuitionistic topological spaces within the realm of mathematical research, showcasing their applicability through concrete instances of intuitionistic sets. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.17817 Issue No:Vol. 6, No. 2 (2023)
Authors:Ramadhany Adam Pratama, Hany Dwi Puspita, Adriana R. Elsa Hoor, Achmad Abdurrazzaq Pages: 217 - 230 Abstract: Mathematics is a subject studied from elementary school to university level. At the elementary school level, mathematics learning aims to provide students with an understanding of the concept of numbers. There are four basic arithmetic operations that must be mastered by primary school students, namely addition, subtraction, multiplication, and division. The concept of multiplication has a higher level of difficulty than addition or subtraction, so students need more time to master this concept. Learning methods applied in the classroom are important in encouraging students to understand learning. Conventional learning methods force students to memorize multiplication concepts, so students only memorize and do not understand basic concepts. Therefore, we need a learning method that can stimulate students' logical thinking and creativity in solving multiplication problems systematically. In this research, a new learning method was introduced by combining the inquiry learning model called the KumahAbi method. The results of this study show that the implementation of the KumahAbi method in learning is very effective in improving students' understanding of multiplication. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.18400 Issue No:Vol. 6, No. 2 (2023)
Authors:Juli Yandi Rahman, Ro'fah Nur Rachmawati, Arya Muditama Nugraha, Farrell Tajusalatin Widjanarko Pages: 231 - 244 Abstract: In the past decade, the food crisis has become a special concern for the international community. This is in the spotlight as the earth ages, increasingly changing climatic conditions lead to erratic crop yields and worsening crop quality. On the other hand, this condition is exacerbated by the increasingly tense dynamics of international politics which leads to conflict between countries. For this reason, we investigated the relationship between these conditions using the linear mixed model method. In this article, the model obtained is able to describe the real conditions currently occurring regarding the relationship between climate change, conflict between countries and crop production. Among other things, it is known that the majority of continents are carrying out agricultural extensions and intensifying efforts to reduce CO2 emissions, to increase crop production. On the other hand, as time goes by, the model shows that environmental temperature fluctuations are getting bigger. Apart from that, conflict factors apparently exacerbate the effects of climate change which directly affects crop production. This article also provides suggestions for countries on a continent to increase crop production while maintaining climate balance. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.18928 Issue No:Vol. 6, No. 2 (2023)
Authors:Sarmada Sarmada, Ferra Yanuar, Dodi Devianto Pages: 245 - 250 Abstract: The censored quantile regression method is a parameter estimation method that can be used to overcome censored data and BLUE (Best Linear Unbiased Estimator) assumptions that are not met. This research aims to compare the quantile regression method and the censored quantile regression method on data on chicken consumption cases in West Sumatra. The smallest RMSE (Root Mean Square Error) is an indicator of the goodness of the model. This research proves that the censored quantile regression method tends to produce smaller RMSE values than the quantile regression method. So it is concluded that the censored quantile regression method is the appropriate method for estimating parameters with censored data. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.18949 Issue No:Vol. 6, No. 2 (2023)
Authors:Dona Dinda Pratiwi, Novian Riskiana Dewi, Cahniyo Wijaya Kuswanto, Dewi Wulandari Pages: 251 - 260 Abstract: In proving a theory or mathematical concept, students experience many difficulties in this regard. So we need teaching materials that can support the learning process of students in overcoming this. The purpose of this study was to develop an integrated vector algebra e-book of Islamic values and local culture (Lampung). With this e-book, the learning process does not only carry mathematics education but also Islamic and cultural values. So that students can get to know local culture more closely, giving them more character and quality. Data collection techniques in this study were observation, Product Validation Instruments, Student Response Instruments, and Product Test Documentation. The results showed that an average of 85% was obtained with the attractiveness test criteria achieved, namely "very interesting". The data obtained means that the e-book being developed has interesting criteria for use as teaching material. The effectiveness of using a Vector Algebra e-book is 0.75 in the medium category. PubDate: 2023-08-30 DOI: 10.24042/djm.v6i2.18700 Issue No:Vol. 6, No. 2 (2023)
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