cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Jaka Wijaya Kusuma
Contact Email
jakawijayak@gmail.com
Phone
+6285718831118
Journal Mail Official
lebesguejournal@gmail.com
Editorial Address
Universitas Bina Bangsa Jl. Raya Serang – Jakarta KM.3 No.1B (Pakupatan) Kota Serang Provinsi Banten
Location
Kota serang,
Banten
INDONESIA
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
 24   25   26   27   28 
PENGELOMPOKKAN KABUPATEN/KOTA DI INDONESIA BERDASARKAN MASALAH GIZI BALITA DENGAN MENGGUNAKAN METODE TWO STEP CLUSTER DAN ENSEMBLE CLUSTERING Cichi Chelchillya Candra; Ferra Yanuar; Dodi Devianto
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): 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.v4i2.413

Abstract

The purpose of this study was to group districts/cities in Indonesia based on toddler nutrition problems.. The research method used in this research is Two Step Cluster, Fuzzy C-Means and K-Modes method. In the Two Step Cluster method, there are two stages carried out, namely Pre-Clustering and Case of Clustering. In the Ensemble K-modes method, there are two methods, namely Fuzzy C-Means and K-Modes. The data used in this study are secondary data in the form of data on under-five nutrition problems in Indonesia in 2022. After analysis, the grouping results obtained using the Two Step Cluster method consist of 2 clusters, while the Ensemble K-modes method produces 5 clusters
PEMODELAN DATA FREKUENSI KLAIM ASURANSI KENDARAAN BERMOTOR UNTUK CAKUPAN THIRD PARTY LIABILITY MENGGUNAKAN DISTRIBUSI POISSON-ARADHANA M Dziqri Nur Rohiim; Aceng Komarudin Mutaqin
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): 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.v4i2.414

Abstract

The presence of insurance can provide coverage for all risks that occur for owners or motorists. Insurance will provide various forms of coverage in accordance with their respective products, so that vehicle owners or drivers will get protection, benefits or compensation for losses from various risks that occur above by buying an insurance policy of course. In Indonesia, motor vehicle insurance is included in the group of liability insurance. One of these insurance coverages is third-party legal liability. This is a protection against liability or third party legal responsibility or Third Party Liability, because the benefits provide protection against claims and losses experienced by third parties, in this case victims involved in accidents. Insurance premiums that can be provided by insurance companies to policyholders can be calculated based on the distribution model of claim frequency and claim size. Claim frequency is the number of insurance claims that occur in one period. Claim frequency data is often overdispersed. Poisson mixture distribution is often used as an alternative method for modeling claim frequency data when overdispersion occurs. This thesis will discuss the Poisson-Aradhana distribution modeling of motor vehicle insurance claim frequency data in Indonesia in 2019. The maximum likelihood estimation method is used to estimate the parameters of the Poisson-Aradhana distribution. The fit test used in this study is the Chi-Square test. The research material used is secondary data on the frequency of motor vehicle insurance claims recorded by PT. X from 8 categories and 3 regions in 2019. The results of the application of the Poisson-Aradhana mixed distribution on the frequency data of motor vehicle insurance claims for TPL coverage with comprehensive coverage at PT. X in 2019, most of the claim frequency data comes from a population with a Poison-Aradhana mixed distribution except for claim frequency data in category 1 region 3 and category 4 region 2
SEGMENTASI PENGGUNA E-WALLET DENGAN MENGGUNAKAN METODE DBSCAN (DENSITY BASED SPATIAL CLUSTERING APPLICATION WITH NOISE) DI KOTA MEDAN Nurjannah Nasution; Fibri Rakhmawati
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 2 (2023): 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.v4i2.415

Abstract

The purpose of this research is to classify digital wallet users in the city of Medan using the DBSCAN method. The research method used in this study is the method of analysis. The sampling technique uses the Quota sampling technique. The instrument for collecting data in this research was a questionnaire distributed online. Respondents from 10 Medan city sub-districts filled out the questionnaire. Next, analysis of all data was carried out using the following steps: data collection stage, data analysis stage using the DBSCAN method, and conclusions. The research results show that: DBSCAN visualization results on clustering of e-wallet users in the city of Medan can cluster based on the type of e-wallet, what media is used to top-up e-wallet, for what purposes e-wallet is used. So that the level of accuracy The DBSCAN method in this case study is appropriate if we want to do clustering to find out how many e-wallet users there are in the city of Medan
PENGARUH PEMBELAJARAN DARING (GOOGLE CLASSROOM) DENGAN MENGGUNAKAN PENDEKATAN SAINTIFIK BERBASIS ETNOMATEMATIKA TERHADAP KEMAMPUAN PEMECAHAN MASALAH Rahmi Maiyunda Sari; Saleh Haji; Zamzaili Zamzaili
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): 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.v4i3.419

Abstract

This research aims to determine the effect of online learning (Google Classroom) using a scientific approach based on ethnomathematics on the mathematical problem solving and communication abilities of class VIII students at SMPN 02 Bengkulu City. This research is quantitative research with a quasi-experimental method. The population in this study were class VIII students at SMPN 02 Bengkulu City, Even Semester, 2020/2021 Academic Year. The sample for this research was class VIII C students as an experimental class by implementing online learning (Google Classroom) using an ethnomathematics-based scientific approach to mathematical problem solving and communication skills and class VIII A students as a control class by applying conventional learning via WhatsApp. The results of this research show that the Ftable value = 3.99. The results of learning using online (Google Classroom) with conventional learning on problem solving abilities Fcount = 7.9. The results of the problem-solving abilities of students with high abilities and students with low abilities Fcount = 8.86, and the results of the interaction of learning factors and abilities on students' problem-solving abilities Fcount = 7.41. It can be concluded that Fcount > Ftable, then H0 is rejected, so there is an influence of online learning (Google Classroom) using a scientific approach based on ethnomathematics on the problem-solving abilities of class VIII students at SMPN 02 Bengkulu City
ANALISIS EFEKTIVITAS PEMBELAJARAN DARING DAN LURING PADA ERA ENDEMIK COVID-19 Defi Yusti Faidah; Nathanael Mareo Liatna; Anugrah Aidil Fitria; Refaldo Richkolas Philadelphia
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): 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.v4i3.420

Abstract

The COVID-19 pandemic has brought significant changes, particularly in the education sector. Since the onset of the pandemic, closure policies and social restrictions have forced many educational institutions to find alternative solutions to keep learning going. During the COVID-19 pandemic period, the learning method used is online media. This refers to the practice of distance learning implemented to maintain social distance and reduce the spread of the virus. Online and offline learning have their own advantages and disadvantages. The purpose of this study is to determine the difference in effectiveness between online and offline learning using nonparametric statistical methods. The result of Mann-Whitney test can be concluded that there is a difference in effectiveness between online and offline learning. Chi-Square test shows that there is a relationship between learning process and understanding lecture material, interacting with lecturers and learning motivation. However, a relationship does not exist between the learning process and students' time management
PERAMALAN HARGA CRUDE OIL MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM) DALAM RECURRENT NEURAL NETWORK (RNN) Syahira Rahmadhani Siregar; Rina Widyasari
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): 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.v4i3.421

Abstract

Crude oil or petroleum is a very important requirement in meeting world energy consumption. Every country definitely needs a supply of petroleum to fulfill their needs. Fluctuations in oil prices are always considered as a barometer of the economy throughout the world, so any change in oil prices is always an interesting topic to be discussed in the economic environment in every country. Therefore it is necessary to predict the price of petroleum, while the method used to predict oil prices is the Long Short Term Memory method, this study aims to predict future crude oil prices based on historical data using the Long Short Term Memory method, knowing the accuracy Forecasting crude oil prices and increasing market efficiency to be more efficient in allocating resources and in this study resulted in an RMSE accuracy of 2,665 and 2.7% Mape for data starting in 2018-2023, while for data for 2020-2023 it produces an RMSE accuracy of 2,630 and MAPE is 2.9%.
PEMODELAN GEOGRAPHICALLY WEIGHTED REGRESSION TERHADAP FAKTOR-FAKTOR YANG MEMPENGARUHI ANGKA PUTUS SEKOLAH MENENGAH KEJURUAN DI PROVINSI SUMATERA UTARA Sajaratud Dur; Hendra Cipta; Nurul Aprilla Rizki
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): 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.v4i3.422

Abstract

The proportion of kids who are of school age but are no longer enrolled or did not complete their education at a certain level is known as the dropout rate. The majority of dropouts are from vocational high schools. One of the reasons why students leave school is because the causes of dropouts are not accurately identified. This issue persists in the field of education. One issue with geographic heterogeneity is dropout. the development of geographical effects or spatial heterogeneity as a result of variations in each region's features and the connection between their distances. Geographically Weighted Regression (GWR) is one technique for analyzing spatially heterogeneous issues. The fixed kernel's weighting function and the adaptive kernel's weighting function in this research are both gaussian. The goal of this research was to choose the most appropriate model to utilize for the GWR model on the variables influencing the dropout rate for vocational high schools in North Sumatra Province. For each North Sumatra district or city, a distinct model is generated by this study. As compared to the multiple linear regression model with Ordinary Least Square (OLS) and the GWR model with fixed kernel weighting function gaussian, the GWR model with the adaptive weighting function of the gaussian kernel is the best model used to model the factors that influence the dropout rate for vocational high schools in North Sumatra Province. This is because it has the smallest AIC value of 321.7397 and the highest of 0.9756.
PREDIKSI HASIL PERTANDINGAN SEPAK BOLA LIGA PREMIER INGGRIS DENGAN ARTIFICIAL NEURAL NETWORK BACKPROPAGATION Khairul Alim; Dewi Murni
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): 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.v4i3.425

Abstract

This study aims to enhance the accuracy of predicting English Premier League football match outcomes by utilizing a partially updated Artificial Neural Network (ANN) model based on match outcome data from the period 2017 to 2021. In this research, various statistical features such as the number of goals scored in the first half and the number of shots on target were incorporated as inputs to the ANN model. The match outcome data was normalized to improve the model's performance. The ANN model employed multiple hidden layers with ReLU (Rectified Linear Unit) activation functions and was trained using the Backpropagation algorithm. Throughout the training process, the model was periodically updated to reflect changes in match patterns over time. The research findings reveal that the ANN model with partial updates can predict football match outcomes with an accuracy of 77.89% in the final iteration, with a Mean Squared Error (MSE) of 0.769 and a Mean Absolute Error (MAE) of 0.689. Additionally, the prediction results are visualized in the form of a distribution graph comparing actual match outcomes with the predictions from the final iteration, providing a visual representation of the model's performance. This study makes a significant contribution to the development of modeling techniques for forecasting football match outcomes and underscores the importance of partial updates in adapting to changes in match patterns over time, offering potential for improvements in football match analysis and prediction in the future
ANALISIS MODEL KEPUASAAN CIVITAS AKADEMIKA TERHADAP PELAYANAN PERPUSTAKAAN DI FAKULTAS SAINS DAN TEKNOLOGI UNIVERSITAS JAMBI DENGAN METODE STRUCTURAL EQUATION MODELING (SEM) Sherli Yurinanda; Syamsyida Rozi; Sarmada Sarmada
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): 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.v4i3.434

Abstract

Service quality comes from a comparison between customer expectations about the service they should receive with the service they actually get. An important service unit in state universities such as the University of Jambi is the library service. The library is a service unit that provides services in the field of literature. The needs of library users, especially students, for science and other educational media are difficult to separate. Therefore, the library is one of the academic support facilities needed by library users such as students and lecturers. Based on the results of observations, various efforts have been made by the FST UNJA’s Library to improve services, but these improvements are still not optimal. Therefore, it is necessary to analyze the factors that influence service quality to assist the FST UNJA’s Library in reviewing the factors that affect service quality. The Structural Equation Modeling (SEM) method is a multivariate statistical method that can be used to look at the factors that influence the quality of the service. SEM is an appropriate analysis used in social research. In this study, there are two exogenous variables used, the first is employee competency which has manifest variables to measure it, such as knowledge, understanding, ability and attitude. The second is library facilities that have manifest variables to measure them, namely library space, library equipment and reading book collections. As well as the endogenous variables used in this study is the quality of service which has five manifest variables of reliability, responsiveness, assurance, empathy and tangible. The research data is primary data obtained by researchers by distributing questionnaires to visitors to the FST UNJA’s library
ANALISIS KEMAMPUAN PEMAHAMAN DALAM KONSEP BENTUK ALJABAR KELAS VII DI TINJAU DARI GAYA BELAJAR PESERTA DIDIK Avelia Gisela Denggot
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): 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.v4i3.447

Abstract

This study makes use of qualitative techniques for the purpose of description. The purpose of this study is to identify the various ways in which students comprehend the idea of algebraic forms. In this study, three seventh-graders from SMP N 4 Tondano represented the different types of learning styles (visual, kinesthetic, and audiotorial). Students were asked about their preferred learning methods, with one representative from each of the three learning styles (visual, kinesthetic, and audiotorial) being chosen as research subjects. This study's findings indicate that (1) subjects with a visual learning style performed better on tests and interviews, particularly when it came to providing answers that were both correct and presented in different ways. (2) students who learn best through movement but who aren't as methodical as others. The test results showed this, but he gave a reasonable explanation during the interview. Auditory learners, number three. This is evident from the interview and test results, which provide an excellent explanation for question 1 but fail to adequately address question 2

Page 26 of 56 | Total Record : 554

 24   25   26   27   28 

Filter by Year

2020 2025


Reset
Filter By Issues
All Issue Vol. 6 No. 1 (2025): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 5 No. 3 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 5 No. 2 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 5 No. 1 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 4 No. 2 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 4 No. 1 (2023): Jurnal Lebesgue Vol. 4 No. 1 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 3 No. 3 (2022): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 3 No. 2 (2022): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 3 No. 1 (2022): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 2 No. 3 (2021): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 2 No. 2 (2021): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 2 No. 1 (2021): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 1 No. 3 (2020): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 1 No. 2 (2020): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik Vol. 1 No. 1 (2020): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik More Issue