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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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STUDI PENERAPAN KONSEP VEKTOR DALAM PERMASALAHAN PENYISIPAN KATA-KATA MELALUI PROSES NORMALISASI VECTOR DAN TRANSFORMASI ORTHOGONAL Laksana, Andzar Tsaqif; Sylviani, Sisilia; Triska, Anita
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.v5i2.493

Abstract

Word embedding is a technique for converting a word into a vector. These are known as word vectors. Despite the fact that word embedding offers multiple powerful approaches, these existing methods can yet be improved. Normalizing word vectors and establishing orthogonal transformation algorithms are two of the method developments. The advancement of this technology has also resulted in improved results in future studies such as word similarity and word translation assignments. With the presence of these method developments, it is possible that the produced methods will be further improved into better word embedding methods in the future
ANALISIS MATEMATIS PENGARUH LOKASI RUMAH TERHADAP HARGA JUAL, LUAS RUMAH DAN JUMLAH KAMAR DENGAN MANOVA Annisa Nur Afifah Kusuma Sayekti; A’yunin Sofro; Danang Ariyanto
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (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.v5i1.494

Abstract

A house is a building that functions as a residence or residence and a means of family development (Law No. 4 of 1992). Every community needs a house as a necessity. With so many people needing a place to live, house construction often occurs. As time goes by, many houses have been built. From the number of houses, they can be classified into several groups, one of the classifications is based on the location where the house was built. The classification of houses based on the location where the house was built is classified into 3, namely houses in rural areas, urban areas and suburban areas. Based on this classification, data on houses being sold on the kaggle.com website was taken. From this data, the characteristics of the houses in the 3 groups can be described. The characteristics chosen are selling price, house area, and number of bedrooms. Using this data, carry out analysis using the MANOVA method. The aim of this research is to determine the influence between house location and selling price, house area and number of rooms
PERBANDINGAN METODE BACKWARD DAN FORWARD PADA SELEKSI MIXED-EFFECTS MODEL: ANALISIS FRAGILE STATE INDEX ASIA TENGGARA Mega Maulina; Madona Yunita Wijaya; Nina Fitriyati
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (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.v5i1.495

Abstract

In the era of globalization, concerns about the stability and vulnerability of nations have become a primary focus in the field of international relations research. One of the indicators measuring a country’s vulnerability is the Fragile State Index. This research discusses the analysis of Fragile State Index in Southeast Asian countries using panel data observed from 2010 to 2021, focusing on economic impacts. The factors involved include Gross Domestic Product, General Government Net Lending/Borrowing, Inflation, and Life Expectancy. A mixed-effects model is employed to examine the influence of economic factors on the Fragile State Index. The selection of the best model is carried out by comparing Backward Elimination and Forward Selection procedures. The research findings indicate that the best model for interpreting the influence of economic factors on the Fragile State Index is the one using the Backward Elimination method. Significant variables in this model include Gross Domestic Product, General Government Net Lending/Borrowing, Life Expectancy, and the interaction between General Government Net Lending/Borrowing and Inflation
PREDIKSI KINERJA KEUANGAN PERUSAHAAN ASURANSI SYARIAH MENGGUNAKAN METODE ARIMA, EXPONENTIAL SMOOTHING, DAN HYBRID Devita Apriliani; Nina Fitriyati; Dhea Urfina Zulkifli
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.v4i3.496

Abstract

Insurance is a contract made by an insurance company with a policy holder. One way to assess the stability of company is its financial performance. The aim of this study is to predict the financial performance of sharia insurance company using two factors, namely ROA (Return on Assets) and ROE (Return on Equity). The secondary data used in this research is derived from the quarterly financial reports of an Islamic insurance company from the year 2013 to 2022. The study used ARIMA (Autoregressive Integrated Moving Average), Exponential Smoothing (ETS), and Hybrid methods. The results showed that the ARIMA model is the best way to better predict both ROA and ROE. Compared to other methods that have been evaluated, the ARIMA model showed more accurate results in predicting financial  performance measured through ROAs and ROEs. Predictions show that the ROA value is relatively stable, indicating that the company is efficient in managing resouces while the ROE value tends to fail, which indicates that the identified company is less good at delivering returns to shareholders. Therefore, it can be one of considerations for people who wants to buy insurance or invest
SUSTAINABLE SUBCONTRACTOR SELECTION IN IRRIGATION PROJECTS: A WEIGHT PRODUCT MULTI-CRITERIA DECISION ANALYSIS Denny Jean Cross Sihombing
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (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.v5i1.497

Abstract

This research aims to reveal the crucial role of subcontractor selection in irrigation projects, which require water resource management to increase agricultural productivity and ensure adequate water availability. The projects are complex, involving designing efficient water distribution systems, constructing structures such as dams, and tight coordination between various stakeholders. The selection of subcontractors significantly impacts the project's success, affecting critical aspects such as time, quality, and cost. This research applies the Weight Product method as a multi-criteria decision-making approach to prioritize these aspects. The advantage of this method lies in its ability to handle multi-criteria decisions systematically. By modeling this method, this research aims to improve the effectiveness and efficiency of subcontractor selection in irrigation projects. The results are expected to provide directional guidance for the dev developing tractor selection applications to improve the quality of project implementation and r quality due to associated risks
PENGARUH STRATEGI REACT DENGAN LEMBAR KERJA PESERTA DIDIK (LKPD) DALAM MENINGKAT KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA SISWA Yori Yupiter Juliansyah; Agus Susanta; Saleh Haji; Amelia Sari
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (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.v5i1.504

Abstract

The aim of the research is to determine the effect of the REACT strategy with LKPD on students' class XI Mathematics problem solving abilities at SMKN 5 Kepahiang. on the Opportunity material. This research is a quasi-experimental research whose population includes all class XI students at SMK Negeri 5 Kepahiang consisting of eight classes. The data collection technique in this research is an instrument test used to collect data including mathematical problem solving ability test questions. The researcher used a purposive sampling technique for sampling. The number of samples was determined using Taro Yamane's calculation formula so that 70 students were obtained consisting of 35 people in the control class and 35 people in the experimental class. Data collection in this research used documentation studies and tests. The data analysis technique uses the independent sample t-test, but before carrying out the t test, the data analysis requirements are tested, namely the normality test and homogeneity test. The results of the research show that the results of the normality and homogeneity tests show that all data is normally and homogeneously distributed, while the results of the hypothesis test show that the significance value is (0.00 < 0.05), which means that there is a positive and significant influence of the REACT learning strategy with LKPD on ability. Solving mathematics problems for students at SMK Negeri 5 Kepahiang on opportunity material
ANALISIS LAJU PREDIKSI INFLASI DI INDONESIA: PERBANDINGAN MODEL GARCH/ARCH DENGAN LONG SHORT TERM MEMORY Agisna Mutiara; Nina Fitriyati; Mahmudi Mahmudi
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 1 (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.v5i1.508

Abstract

Inflation is a condition wherein the general level of prices for goods and services in an economy continually rises. Predicting inflation serves as a crucial link in establishing future inflation values. The dynamic nature of inflation allows for changes over time, forming a nonlinear model capable of providing more accurate inflation predictions. This research aims to examine and compare the effectiveness of GARCH/ARCH and LSTM models in predicting inflation data.The results of the study indicate that the LSTM model proves to be the superior choice for predicting inflation with higher accuracy when compared to the GARCH model. The GARCH model produces more accurate predictions of future inflation periods, as evidenced by the Mean Absolute Percentage Error (MAPE) value of 2.6814%. This value signifies the extent of the comparison between the actual and predicted model values. In contrast, the LSTM model yields a Mean Absolute Error (MAE) value of 0.00895358, demonstrating its superior accuracy.Therefore, the findings of this research can be considered a valuable reference for a country looking to predict inflation more effectively. Utilizing advanced time series models, such as LSTM, can enhance the accuracy of inflation predictions, providing policymakers with valuable insights for informed decision-making
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE THINK PAIR SHARE (TPS) TERHADAP HASIL BELAJAR SISWA PADA MATERI BENTUK ALJABAR Angel Madonsa; Cori Pitoy; Santje M Salajang
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.v4i3.509

Abstract

This research aims to find out that the average learning outcomes of students who study using the Think Pair Share (TPS) learning model are higher than the average learning outcomes of students who study using the Direct Instruction (DI) learning model. The population of this study were all class VII students at Garuda Manado Middle School. The samples taken in this research were class VIIA as the experimental class and class VIIB as the control class. Data analysis to test the hypothesis that the average learning outcomes of students studying algebraic material who studied using the TPS learning model were higher than the average learning outcomes of students who studied using the DI learning model, was carried out using the t-test with a significance level of α = 0.05. The value obtained is t_count  = 3.75 > t_table = 1,729, thus it can be concluded that the average learning outcomes of students who study using the TPS learning model are higher than the average learning outcomes of students who study using using the DI learning model
DETERMINAN KEPESERTAAN JAMINAN KESEHATAN NASIONAL (JKN) DI GARUT, INDONESIA: SEBUAH APLIKASI MULTIGROUP ANALYSIS Irfan Rizki Gumilar; Asep Saepuloh
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.v4i3.510

Abstract

Jaminan Kesehatan Nasional (JKN) aims to provide affordable healthcare services to all Indonesian citizens. However, despite its admirable goals, the program has encountered challenges related to low participation rates in various regions, including Garut. While the JKN program aspires to achieve universal healthcare coverage, its effectiveness relies on the number of individuals enrolled in the program. The significance of this research lies in the need to comprehend the factors that influence individual participation in the JKN program, particularly in areas like Garut. To address these issues, this study will investigate the determinants of people's inclination to become JKN program participants and how these factors impact their actual behavior. The research will be carried out in Garut, Indonesia, involving both JKN participants and non-participants who will take part in a survey. The collected data will undergo analysis using Partial Least Square Structural Equation Modeling (PLS-SEM) to explore the cause-and-effect relationships among the variables under examination. Additionally, Multigroup Analysis (MGA) will be employed to assess whether these causal relationships differ between the two population subgroups
PERAMALAN PERSEDIAAN OBAT FLU DAN BATUK MEREK SNF UNTUK TAHUN 2024 DI GUDANG PT BCD MENGGUNAKAN METODE DEKOMPOSISI Tiaradia Ihsan; Alifah Nur Astari
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.v4i3.511

Abstract

PT BCD is a company which engages in the field of the distribution sector. Besides distributing, PT BCD also has a warehouse which is used as a place to store stock of goods that have not been sent to customers. The products distributed include medicines, pharmaceutical equipment, veterinary products and other consumer goods. However, recently the products most frequently ordered by customers are cough and flu medicines considering the unpredictable weather changes and increasing pollution. When compared with other brands, SNF brand cough and flu medicine products are the most frequently ordered products over the past two years. However, the amount of demand for these products is often uncertain every quarter. This sometimes causes customer orders set to a pending stock so that customers have to wait quite long for the product to be received or in other conditions the product in the warehouse is overstock so that the stock must be transferred between branches. To anticipate this happening in the future, which mean at 2024, forecasting needs to be done so that the supply of SNF brand medicine can be estimated more precisely. In this research, forecasting was carried out using the decomposition method to determine how many folding boxes should be provided in each quarter in 2024. From the forecasting results, we obtained an estimate of the stock that must be provided in the 1st quarter is 438 folding boxes, 340 folding boxes for the 2nd quarter, in the 3rd quarter approximately need 379 folding boxes and in the fourth quarter there were 270 folding boxes needed

Page 31 of 56 | Total Record : 554

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