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Bilangan: Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Published by Asosiasi Riset Ilmu Matematika dan Sains Indonesia
ISSN : 30326389     EISSN : 30327113     DOI : 10.62383
Core Subject : Science, Education,
Astronomy Mathematics
Jurnal ini adalah Ilmiah Matematika, Kebumian dan Angkasa yang bersifat peer-review dan terbuka. Bidang kajian dalam jurnal ini termasuk sub rumpun Ilmu Matematika, Kebumian dan Angkasa
Arjuna Subject : Matematika - Matematika (Lain-Lain)
Articles 139 Documents
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Analisa Pemahaman Konsep Matematika Siswa pada Materi Trigonometri Kelas X SMK Asisi Margaretha Silvia; Indra Martha Rusmana; Endang Suhendar
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 5 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i5.285

Abstract

This study aims to describe the understanding of mathematical concepts of X grade students of SMK ASISI on Trigonometry material. The type of research is descriptive qualitative research. the subjects are 3 students of class X AKL SMK ASISI who have high, medium and low categories, these students were selected on the basis of the results of daily test scores. This study refers to 5 indicators of understanding of mathematical concepts and the instruments in this study are written tests and interviews. Based on the results of the analysis, it can be concluded that students' understanding of mathematical concepts in trigonometry material is still relatively low and students have not met the indicators of understanding mathematical concepts from the results obtained from 12 students, there are 1 student who gets high scores, 7 students get medium scores, and 4 students get low scores.
ROBUST M-ESTIMATORS' Parameter Scale is Highly Efficient on Base Q Grades Zahraa Khaled Gaafar; Anwer Fawzi Ali
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i6.300

Abstract

Russiva and Crookes proposed the widely used, highly efficient, robust Q-score parameter scale in their 1993 work, and they approximated it using "fast" Huber's M-scores. Shown What proposed us M-scores are highly efficient and robust on arbitrary nom distributions, thanks to correct choice parameter approximations. We pay particular attention to the Cauchy divisions  and cases of Gaussian distribution . Important terms: Cauchy's law, parameter scale, robustness, and Gaussian distribution With the Q-estimate as a foundation, the M-estimates of the scale parameter are very efficient and robust. Rousseeuw and Croux (1993) proposed the scale parameter of Q-estimate, which is often used with fast Huber M-estimates, and we were able to get rather close to it. By meticulously choosing the approximation parameters, we proved that the proposed M-estimates are efficient and resilient for any data distribution. In order to measure the robustness and efficiency of scale M estimates , we calculated their asymptotic variances; breakdown points , and influence functions. The Cauchy and Gaussian distributions were our main focus. Notably, the proposed robust estimate is consistent the Maximum likelihood estimation for the Cauchy distribution. Last but not least, these robust and efficient scale estimates need three to four times less computing time than their comparable Q-estimates. The research provides robust and efficient solutions for estimating distribution parameters more quickly and with less complexity, making them suitable for applications requiring fast and accurate computations.  
The Use of The STEPWISE Method The Effect of Cultivated Area On Agricultural Production in Iraq Abbas Fadhil Kreah; Ali Ghani Nori
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i6.303

Abstract

One of the important problems addressed by researchers and specialists is the problem of agriculture and agricultural land and how to sustain or address them in the event that they need a certain treatment or work is being done to develop methods and agricultural tools and patterns used, which in turn affects production, and in this research has been working to study the impact of several factors on production and has been selected specific workers agricultural land, which is harvested land and affected land and total land and has Mathematical statistical methods were used in the analysis and the STIPWISE method  of linear regression was used to determine the effect and any variables affecting and not affecting the dependent variable, which is agricultural production, and the results of the paper found that one of the variables does not affect the dependent variable, which is the harvested land variable.
Identifikasi Tumbuhan Paku Sejati (Filicinae) di Curug Ciparay Desa Cidugaleun, Kecamatan Cigalontang Kabupaten Tasikmalaya Ega Saputra Unsil; Muhammad Rizky Fauzan; Raisul Muslim; Indra Gunawan; Esta Rendra RS
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i6.305

Abstract

This study aims to identify and analyze the diversity of true ferns (Filicinae) in Curug Ciparay, Desa Cidugaleun, Tasikmalaya Regency, a region with significant potential for botanical research due to its supportive microclimatic conditions, including high humidity and cool temperatures. Using a descriptive qualitative method, involving direct observation, documentation, and interviews, the study identified 15 species of true ferns in the area, with species distribution influenced by variations in microhabitats, especially humidity and lighting. These ferns contribute not only to biodiversity but also play essential ecological roles in maintaining soil moisture, preventing erosion, and providing habitats for small fauna. The findings underscore the importance of conservation efforts involving the local community to protect the ecosystem from human activities, such as tourism. This study is expected to serve as a foundation for conservation strategies and sustainable management in Curug Ciparay.
Pengelompokan Indikator Kemiskinan di Kabupaten/Kota Aceh Tahun 2021 Menggunakan Analisis Klaster Naomi Gloria Pasaribu; Famita Wibi Wulandari; Sri Pingit Wulandari
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i6.306

Abstract

Poverty in Aceh Province is a significant challenge with variation between districts/cities due to differences in access to education, health, job opportunities, and infrastructure. This study aims to group districts/cities in Aceh based on poverty indicators in 2021 in order to produce a more targeted policy basis. The research data consists of 23 poverty indicators obtained from secondary sources. Cluster analysis is applied using hierarchical (average linkage) and non-hierarchical (K-Means) methods to identify poverty patterns between regions. The results of the hierarchical cluster show that there are two main groups, namely the first cluster has low poverty rates, higher education, strong purchasing power, and low unemployment, while the second cluster has the opposite characteristics. The non-hierarchical analysis (K-Means) produced five clusters with significant differences in poverty levels, labor force participation, education, and economy. These findings provide a basis for the Aceh government to design poverty alleviation policies that focus on the specific needs of each cluster to accelerate the improvement of welfare in all districts/cities in Aceh Province.
Pengaruh Model Pembelajaran Kooperatif Tipe NHT (Numbered Head Together) Berbantuan Ice Breaking terhadap Minat Belajar Siswa Ni Kadek Asri Rumiartini
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i6.318

Abstract

This research is an action to find out the influence of the NHT learning model assisted by Ice Breaking on the Learning Interest of Class XI C.1 Students of SMA Negeri 1 Kuta Utara. This classroom action research conducts a reflective action in order to improve learning practices for students in terms of professionalism. In this class action research, the subject of the study is students of class XI C1 SMA Negeri 1 Kuta Utara for the 2023/2024 school year consisting of 38 students. The score of 55.59 (low category) shows the results of the analysis of the first cycle. It is clear that students' interest in learning is still relatively low and there needs to be a big improvement in the second cycle. The score of 89.1 (very high category) was shown in cycle II after a careful analysis of the improvements in cycle I. So from the data obtained and processed in cycles I and II, it can be concluded that there is an influence in mathematics learning with the application of the Numbered Head Together type cooperative learning model assisted by Ice Breaking.
Analisis Diskriminan pada Indikator yang Memengaruhi Indeks Kerentanan Pangan Menurut Provinsi di Indonesia Tahun 2023 Melita Handayani; Natasya Liana Putri; Sri Pingit Wulandari
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i6.319

Abstract

Indonesia is committed to achieving zero hunger as one of the goals of fulfilling the Sustainable Development Goals (SDGs) where this commitment focuses on addressing the problem of food availability but also ensuring that every individual has access to sufficient, nutritious, and safe food throughout the year for everyone. However, reviewing the current conditions in Indonesia, there is still an imbalance in food availability that will cause food vulnerability. Therefore, a prediction of food vulnerability in the future is needed where discriminant analysis is one of the appropriate statistical methods to analyze qualitative dependent and quantitative independent variables. This study uses secondary data from the official website of the food agency and the central statistics agency. The results of the study show that the characteristics of the data have small variations, asymmetric distribution, and there are outliers in several categories. The assumptions of multivariate normality, the suitability of the dependent variables, and the identity of the variance-covariance matrix have been met. Through discriminant analysis, the variables of the percentage of poverty and the percentage of households with access to clean drinking water are proven to significantly affect the IKP category. The discriminant model produces one significant function that is able to group the IKP category with a model accuracy rate of 86.8% and a classification accuracy of 64.7%.
Integrasi Teknologi AI dalam Pembelajaran STEM di Sekolah Menengah : Perspektif Personalisasi, Tantangan, dan Implikasi Uban Subandi; Supardi US
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i6.320

Abstract

Artificial Intelligence in STEM education has gained attention because it has the potential to transform the learning and teaching process. The study aims to systematically analyze the application of AI technology in STEM education, focusing on the impact on student engagement, learning outcomes, and teaching methods. The study used the Systematic Literature Review (SLR) method with PRISMA guidance, Articles published in the last ten years, to ensure the selection process on the latest trends. The main findings show that AI-based tools, such as adaptive learning systems, intelligent tutoring systems, and automated assessment platforms, significantly enhance the personalized learning experience and encourage students' critical thinking skills in STEM learning. Challenges such as ethical considerations, data privacy issues, and the digital divide are still issues that need attention. Overall, the study shows that AI has a crucial role in STEM education in the future and recommends a strategic framework to overcome the challenges of AI implementation. The main findings of the article provide a basis for educators, policymakers, and researchers to develop and implement AI-based innovations effectively in STEM education.
Peran Pecahan dan Desimal dalam Kehidupan Sehari-Hari Rizal Hidayat; Muhammad Reyhan Rambe; Rayhan Nawawi
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i6.335

Abstract

Fractions and decimals are basic mathematical concepts that have an important role in various aspects of daily life. This article discusses how fractions and decimals are used in daily activities such as measuring, calculating, and carrying out financial transactions. For example, in cooking, fractions are used to measure food ingredients, while decimals often appear in weight and length measurements. In economic transactions, decimals are key in rounding numbers and calculating prices. This article also explains the importance of understanding conversions between fractions and decimals to make decision making easier, both in personal and professional contexts. By providing applicable examples, it is hoped that this discussion can increase appreciation of the role of fractions and decimals in real life and encourage deeper mastery of these concepts.
Estimating the parameters of the logistic regression model using the swam algorithm for the handball team of the College of Physical Education and Sports Sciences Al-Mustansiriyah University Ons Edin Musa
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 6 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i6.336

Abstract

This research investigated the biomechanical variables of movement analysis and its essentialcomponents for handball players at the College of Physical Education and Sports Sciences, Al-MustansiriyaUniversity, during a league match and university qualifiers. The data was analyzed using binary logisticregression, a mathematical model that defines the link between a dependent variable, which takes the valueof one when a goal is scored against the opposing team and zero when no goals are scored, and independentfactors.The bird swarm algorithm will be used in this research. It is one of the artificial intelligencealgorithms that rely on the intelligence of living flocks by monitoring their movements, such as birds, bees,cats, chickens, and many other swarm algorithms.The conclusions we reached from this study are as follows: When using logistic regression, we foundonly four explanatory variables that affect the dependent variable. They are detailed as follows: The twoexplanatory variables (The maximum height of the hip and Flight time until leaving the ball) and thedependent variable (shooting) have an inverse relationship and affect it. The two variables (Knee angle at themoment of thrust and The instantaneous speed of the ball) have a positive relationship with aiming and affectit.When we used the Bird Swarm algorithm, we found that all the explanatory variables included in thestudy had a significant effect on the dependent variable. The variables (Knee angle at the moment of thrust,Rising angle, Flight angle, The instantaneous speed of the ball, and the horizontal distance of theperformance) have a positive relationship, with the dependent variable (shooting). In contrast (The maximumheight of the hip and Flight time until leaving the ball) have an inverse relationship with the dependentvariable.Using the logistic model helps sports coaches and researchers to estimate and predict models,especially when the dependent variable takes values ​​(one or zero). In contrast, we noticed that the resultswere more accurate and objective when using the bird swarm algorithm. It further helps academics, thoseinterested in sports, and coaches benefit from these results.

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