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Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika
Published by Universitas Bina Bangsa
ISSN : 27218929     EISSN : 27218937     DOI : 10.46306/lb
Core Subject : Science, Education,
Decision Sciences, Operations Research & Management Education Mathematics
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Lebesgue Adalah Jurnal Ilmiah yang terbit secara daring pada bulan April, Agustus dan Desember. untuk menyebarluaskan hasil-hasil penelitian dalam bidang matematika, statistika, aktuaria, matematika terapan, matematika komputasi, Model Pembelajaran Matematika dan pendidikan matematika.
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 554 Documents
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PENERAPAN DOUBLE EXPONENTIAL SMOOTHING UNTUK MEMPREDIKSI JUMLAH PENERIMAAN MAHASISWA BARU Ena, Maktisen; Adrianingsih, Narita Y.; Malese, Maryanes A.
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.632

Abstract

This research aims to find out or predict the number of new students who will register for admission at the UNTRIB Kalabahi campus in 2024. The data collection technique used in this research is secondary data obtained from BAAK (Student Academic Administration Bureau) UNTRIB Kalabahi from 2007 until 2023 there are 17 data. The method used in this research is the Double Exponential Smoothing method from Brown to analyze the number of new students in 2024 based on new student data in 2007-2023 by testing using 9 alpha value parameters, namely 0.1 to 0.9 by looking at the Mean value The smallest Absolute Percentage Error (MAPE). The research results show that the smallest MAPE value is 6.35% with an alpha parameter value of 0.5. The estimated number of new student admissions in the 2024/2025 academic year is 590 people
ANALISIS KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA MATERI BANGUN DATAR SISWA KELAS V SEKOLAH DASAR Rahayu, Salamah Tri; Pramudyanti, Pramudyanti; Perdana, Ryzal
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.633

Abstract

The purpose of this study is to characterize and understand the mathematical problem-solving skills of fifth-grade students at SDN 1 Tanjung Sari, particularly with regard to narrative problems with flat forms. This study employs a qualitative descriptive methodology that focuses on close observation and in-depth examination of the research participants, who are SDN 1 Tanjung Sari fifth-grade pupils. Two primary methods were used in this study to gather data: assessments of students' mathematical problem-solving skills and interviews. The Miles and Huberman Model, which has three primary stages data reduction, data presentation, and conclusion drawing was used to conduct the data analysis. The technique of eliminating extraneous or useless data is known as data reduction. Data presentation is the process of arranging and displaying information in a way that is simple to understand. Drawing conclusions from study results entails analyzing data and drawing judgments. The study's findings indicate that pupils' average proficiency in solving mathematical problems involving flat shapes is 75.78, falling within the middle range. This indicates that although there is still need for development, pupils' grasp of the notion of flat forms is adequate. The study indicated that, when considering learning interest, students' average mathematical problem-solving skill was 87.22 for high learning interest students, 74.85 for moderate learning interest students, and 57.80 for low learning interest students. This demonstrates that students' aptitude for solving mathematical puzzles is greatly influenced by their learning interests. Overall, this study offers significant new information on how learning interests might influence students' ability to solve mathematical problems. Future instructional materials for more efficient learning can be developed using these findings as a foundation
ANALISIS FAKTOR YANG MEMPENGARUHI INDEKS PEMBANGUNAN MANUSIA DI INDONESIA MENGGUNAKAN MODEL REGRESI LOGISTIK BINER Vitona, Desi; Erfiani, Erfiani; Indahwati, Indahwati; Fitrianto, Anwar; Aliu, Mufthi Alwi
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.634

Abstract

The primary tool for assessing the extent of human development progress in a country is the Human Development Index (HDI). There are three components of Indonesia's Human Development Index (HDI). The method used to characterize the quality of human existence is based on these foundational aspects of HDI. The three elements include the role of economic advancement in human progress, as well as health, knowledge, and a decent standard of living. The objective of this research is to conduct binary logistic regression modeling to identify the key aspects that influence the Human Development Index of Regencies and Cities in Indonesia. If the response variable is binary and the predictor factors consist of one or more continuous or categorical variables, binary logistic regression is the statistical technique used to model the categorical response variable. The research results indicate that the percentage of Life Expectancy (X1), Average Length of Schooling (X2), Expected Years of Schooling (X3), and Per Capita Expenditure (X4), both partially and simultaneously, are independent variables that have the most significant impact on HDI at a real level of α = 5%. A balanced accuracy rating of 91.83% was achieved from the model evaluation, indicating that the model is useful
MODEL DISCOVERY LEARNING BERBANTUAN GEOGEBRA UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS MATEMATIS DAN KEMANDIRIAN BELAJAR SISWA Maharani, Deswita; Rafianti, Isna; Novaliyosi, Novaliyosi
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.638

Abstract

Mathematics, as an important foundation in education, contributes to the advancement of science and technology and teaches students logical, analytical, and creative thinking. This is in accordance with the Merdeka Curriculum which emphasizes the development of 21st century skills and character development, including critical thinking and self-regulated learning. However, the low mathematical critical thinking skills and self-regulated learning in Indonesia is still a challenge. One of the factors that influence this is the use of inappropriate learning models. The Discovery Learning learning model supported by technology such as GeoGebra is a potential solution to improve both capabilities. The purpose of this study was to determine the increase in mathematical critical thinking skills and determine the increase in self-regulated learning of students who obtained the GeoGebra-assisted Discovery Learning model compared to students who obtained conventional learning models. This research method is a quasi-experiment with the nonequivalent pre-test post-test control group design. Sampling is done by purposive sampling technique. This research was carried out in one of the Junior High Schools in Serang City in the 2023/2024 school year, involving two classes of grade VII students as an experimental and control group. The instruments in this study consisted of tests of mathematical critical thinking skills and learning independence scales. The results showed that the improvement of mathematical critical thinking skills and increased self-regulated learning of students who applied the GeoGebra-assisted Discovery Learning model were better than students who applied conventional learning models
ANALISIS KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA PADA MATERI PERSAMAAN DAN PERTIDAKSAMAAN LINEAR SATU VARIABEL Alfiansah, Saeful; Sutiarso, Sugeng
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.639

Abstract

This study was conducted with the primary aim of evaluating and deeply understanding students' abilities in solving mathematical problems, specifically focusing on Linear Equations and Inequalities with One Variable (SPLSV). A qualitative approach was chosen because it allows researchers to delve deeper into students' thought processes and how they approach given mathematical problems. Descriptive analysis was used to interpret data systematically and in detail, enabling researchers to identify specific patterns in test data and interviews. Adab Kesuma Bangsa Junior High School in Natar, South Lampung, was selected as the research site because it was considered representative of the student population being studied. A total of 32 students participated in this study, selected through Purposive Sampling method. The research instruments used included written tests and in-depth interviews. The main indicators focused on in this research were: (1) understanding of the problem, which measured how well students could identify and comprehend key elements of mathematical problems; (2) solution planning, which assessed students' ability to formulate effective strategies or steps to solve problems; (3) solution implementation, which observed to what extent students could apply their plans in practice and achieve correct solutions; and (4) re-evaluation, which evaluated students' ability to reflect on their processes and outcomes, identifying errors or areas for improvement. The research findings indicated that only a small proportion of students (21.5%) demonstrated high problem-solving abilities. Approximately 11.5% were at a moderate level, while the majority of students (67%) exhibited low problem-solving abilities. These findings provide valuable insights for educators and policymakers regarding the need for more effective educational interventions to enhance students' mathematical problem-solving abilities
PENGEMBANGAN INSTRUMEN TES UNTUK KEMAMPUAN BERPIKIR REFLEKTIF MATEMATIS PADA MATERI ALJABAR Kurniawati, Eka Fitri; Yuhana, Yuyu
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.640

Abstract

This research aims to produce a test instrument for students' mathematical reflective thinking ability on algebraic material. This research used the Research and Development (R&D) method with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation). The subjects used were 35 seventh grade students in one of the private junior high schools in Tangerang City. Based on the results of the material expert validation received an average score of 87.7% with very valid criteria. The validity of the items received an average of 0.82 very valid criteria. Then it has a Chronbach's Alpha value of 0.945 which means reliable. In addition, the level of difficulty of moderate questions is 3 questions, difficult 1 question and easy 1 question. The results of the student response questionnaire after working on the test instrument obtained a score of 78% with good criteria. Then based on these results, the development of test instruments for students' mathematical reflective thinking skills is valid, reliable and worthy of use
PENGEMBANGAN MODUL AJAR MATEMATIKA MATERI TRIGONOMETRI BERBASIS COGNITIVE LOAD THEORY UNTUK MEMINIMALISIR MATHEMATIC ANXIETY SISWA FASE E Zahroh, Umy; Sutopo, Sutopo; Fitri, Devin Anggraeni
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.642

Abstract

This research aims to: 1) determine the process of developing teaching module, 2) determine the validity of teaching modules, 3) determine the practicality of teaching modules, and 4) determine the effectiveness of teaching modules. In general, the development of this CLT-based teaching module is to find out whether the taching module can minimize students’ mathematical anxiety.The research follows a development model, specifically the Plomp development model which consists of 5 phase, 1) preliminary phase, 2) design phase, 3) realization phase, 4) test, evaluation and revision phase, 5) implementation phase. The developed teaching module focuses on trigonometry material for phase E students at MAN Se-Tulungagung. Data collection methods include validation, objective observation, and questionnaires. Practicality data were obtained from teacher questionnaires, while effectiveness data were derived from students’ mathematical anxiety questionnaires. Based on data analysis, the following results were obtained: 1.) The validation score for the teaching module was 3.754, categorizing it as valid. 2.) The practicality score for the teaching module was 4.02, indicating high practicality. 3.) The teaching module effectively minimized mathematical anxiety, as evidenced by anxiety levels in experimental classes compared to control classes. Control classes using conventional learning showed higher anxiety levels, with MAN 3 Tulungagung at 2,89 (‘anxious’), MAN 2 Tulungagung at 2.615 (‘anxious’), and MAN 1 Tulungagung at 2.204 (‘anxious’). Meanwhile, experimental classes, after using the teaching module, showed lower anxiety levels: MAN 3 Tulungagung at 1.98 (‘moderate anxiety’), MAN 2 Tulungagung at 1.96 (‘moderate anxiety’), and MAN 1 Tulungagung at 1.44 (‘moderate anxiety’)
ANALYSIS OF EXPORTS OF FIVE MAIN FISHERY PRODUCT COMMODITIES IN BATAM CITY USING THE MARKOV CHAIN MODEL Anggraeni, Andini Setyo; Sabarinsyah, Sabarinsyah; Aprilla Handayani, Vitri; Tarsila, Huiliana
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.644

Abstract

Indonesia, an archipelagic country, boasts significant potential in the fisheries sector, notably in the export of fishery products. Batam as a free trade zone plays a major role in Indonesia's fishery product exports. According to the Central Statistics Agency's data, there has been a 2.47% decline in fish and shrimp exports in January and February 2023 compared to January 2022. Therefore, further analysis is needed on projected exports of fishery products in Batam. This study focuses on the utilization of the Markov chain model to analyze the export dynamics of Batam City's primary fishery product commodities, including Seaweed, Fish, Shrimp, Crab, and Shellfish. Monthly export data for Batam City's fishery products throughout 2021-2023 sourced from The Ministry of Marine Affairs and Fisheries. Based on these data, the transition probability matrix will be calculated based on the number of export transitions below and above the Moving Average (MA 12) value. The Markov chain model for this case is an erdogic Markov chain model, in order that the limiting probability of the Markov chain model can be determined. The result shows that exports of fish, shrimp and crab in the long term will exceed the average export size in the past year each after 7 months, 11 months, and 14 months later respectively, while exports of seaweed and shellfish in the long term will be below the large average exports in the past year after 15 and 5 months. This research result offer valuable insights for the government to formulate strategies and policies concerning fishery product exports
A SIMPLE JUSTIFICATION OF TANH METHOD FOR DISCRETE SOLITARY WAVE SOLUTIONS Syarif, Ahmad; Syafwan, Mahdhivan; Nazra, Admi
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.646

Abstract

The tanh method is known as an effective method for solving partial differential equations and obtaining traveling wave solutions. While well-used in continuous systems, its application to discrete systems (nonlinear difference-differential equations, DDEs) is still less explored. This paper revisits the tanh method for discrete systems, providing a simple justification for the method to produce discrete solitary wave solutions, including pulse-type and (anti)kink-type. By transforming DDEs into nonlinear ordinary differential equations (ODEs) and using polynomial forms in terms of the tanh function, we outline steps for deriving and verifying exact solutions
PENGEMBANGAN INSTRUMEN EVALUASI BERBASIS KEMAMPUAN PEMECAHAN MASALAH PADA MATERI EKSPONEN DI TINGKAT SMA Rosyadi, M.; Yuhana, Yuyu
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i2.647

Abstract

The purpose of this research is to produce a test instrument to measure mathematical problem-solving ability by looking at the development procedures and the quality of the mathematics problem solving instruments developed. The research used is the type of research (R&D) that is the development of test instruments to measure the ability to solve mathematical problems. The development model of this research instrument is developed on the basis of the Tessmer model which is the formative type of evaluation, i.e. (1) preliminary stage, (2) self evaluation stage, (3) prototyping stage (expert reviews, one-to-one and small group) and (4) field test stage. The test subject of the experiment were X Students of SMAN 2 Bayah which amounted to 25 students. Based on the results of experiments conducted, it is found that: (1) math problem solving test instrument has been said "valid" because based on the CVR results are 1 and meet the criteria of  ≥ 0.99 and CVI is 1 with a category perfectly suitable or in the range 0,68-1,00 (2) mathematical problem-solving test instrument is said to be reliable with a value of 0.754 with high category, and is in the range of 0.60 < r11 < 0,80 (3)instrumen test the math problem solving device has a level of difficulty good then the average level of difficulty obtained is 0.58 with the medium category that is in the range of 0.31 to 0.70. (4) instrumen test math problem solving devices has a power a good differentiator and the average distinguishing power obtained is 0.35 with sufficient category or is in the range Dp > 0.2. As a result, the produced instrument is appropriate for assessing pupils' mathematical problem-solving abilities

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