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All Journal Jurnal Cendekia : Jurnal Pendidikan Matematika Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika International Journal of Business, Law, and Education International Education Trend Issues OMEGA: Jurnal Keilmuan Pendidikan Matematika
Arofah, Irvana
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Religion Arts Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Neuroscience Social Sciences Other

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Basic Multiplication Knowledge Acquiring Based on Mathematical of Fingering System Junaedi, Junaedi; Wahab, Abdul; Arofah, Irvana; Nugroho, Arya Setya; Permana, Erwin Putera
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 4, No 3 (2021): Budapest International Research and Critics Institute August
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i3.2172

Abstract

Acquiring Basic Knowledge Multiplication is one stage of skill trainings. The activities associated with skill development are designed to acclimate students to thinking quickly and precisely about facts, concepts, formulas, and problem-solving techniques. One technique for skill coaching is to employ the Mathematical of Fingering System. These writings are a type of library research in which the author discusses the importance of basic multiplication in the education of Islamic elementary school teachers. Correspondingly, the researchers examine how the concept of the basic multiplication knowledge acquiring based on mathematical of fingering system, and the application of the education of Islamic elementary school teachers are incorporated into the basic multiplication knowledge acquiring based on mathematical of fingering system.
The Influence of Reading Interest and Study Habits against Mathematics Learning Outcomes Arofah, Irvana; Ningsi, Besse Arnawisuda
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 4, No 4 (2021): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i4.3179

Abstract

This study aims to determine the effect of reading interest and study habits on mathematics learning outcomes. The results showed that the variables of reading interest and study habits simultaneously (simultaneously) had an influence on mathematics learning outcomes which were expressed by the following regression equation model: Y = 49,014 + 0,479X1 – 0,212X2. From the results of the analysis, it can be concluded that the variables of reading interest and study habits together have a significant influence on mathematics learning outcomes. The two independent variables contributed to the learning outcomes of mathematics by 17%. While partially, reading interest and learning habits each have a significant influence on mathematics learning outcomes.
Classification Analysis of Student Graduation Timeliness Using Decision Tree and Naïve Bayes Methods Gantini, Sri Nevi; Ningsi, Besse Arnawisuda; Arofah, Irvana
Budapest International Research and Critics Institute-Journal (BIRCI-Journal) Vol 4, No 4 (2021): Budapest International Research and Critics Institute November
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v4i4.3182

Abstract

This study aims to determine the classification of student graduation timeliness by using the Decision Tree and Naïve Bayes methods. This study uses a quantitative method, where the approach used is the classification of various attributes that affect the timeliness of student graduation. The independent variables in the classification are mostly called attributes; In this study, the attributes of school of origin, gender, area of origin, profession of parents, study program and Grade Point Average (GPA) were used. While the dependent variable or in the classification is usually called a label, in this study the label used as a decision attribute is the timeliness of student graduation. In this study, two methods were used, namely using the nave Bayes method and a decision tree (decision tree) to determine the classification of the timeliness of student graduation and to determine the level of classification accuracy. Based on the results of the analysis, it can be concluded that the classification using the nave Bayes method obtained 36 predicted data according to the actual data and 7 different predicted data from the actual data. Meanwhile, in the 42 decision tree method, the predicted data is in accordance with the actual data and there is only 1 predicted data that is different from the actual data. Decision Tree method has a lower classification error rate than the Naïve Bayes method. The level of accuracy of prediction results using the Decision Tree method is higher than the Naïve Bayes method.
Co-Authors Abdul Wahab Arnawisuda Ningsi, Besse Arya Setya Nugroho Erwin Putera Permana Febiyansyah, Febiyansyah Gantini, Sri Nevi Isnurani, Isnurani Junaedi Ningsi , Besse Arnawisuda Ningsi, Besse Arnawisuda Rahayu, Tias Mugi Sessu, Andi Trisno, Nico