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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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ANALISIS RISIKO DAN MITIGASI PADA PENGIRIMAN ALAT BERAT DENGAN METODE ERM Sihombing, Tulus Martua; Adiprasetyo, Wahyudi; Irajani, Yehezkhiel Shallom
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (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.v5i3.760

Abstract

Heavy lift delivery activities are complex and complicated, the handling process is also different when compared to loads in general due to excess dimension factors, both length, width, and height. There are constraints and risks in the delivery of heavy equipment. This study aims to analyze operational risks arising from heavy equipment delivery activities at PT Daily Express Cargo. By analyzing the risks that may occur, it is expected that the company can take the right decisions and actions to overcome the risks. The research method used is the Enterprise Risk Management (ERM) method with descriptive analysis and qualitative approach. Data collection techniques through in-person interviews and questionnaires. In this study, twenty operational risks were found. After identification and risk assessment, there are four risk levels, namely high, medium, low, and very low levels. At a high level there are 2 risks, at a medium level there are 5 risks, at a low level there are 5 risks, and at a very low level there are 8 risks. Each risk that arises requires appropriate risk control tailored to its type
PERBANDINGAN K-MEDOIDS DAN CLARA (Clustering Large Application) PADA DATA POPULASI TERNAK DI INDONESIA Ardhani, Rizky; Marshelle, Sean; Fitrianto, Anwar; Erfiani, Erfiani; Jumansyah, L. M. Risman Dwi
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (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.v5i3.764

Abstract

This study compares the K-Medoids and CLARA (Clustering Large Application) methods for livestock population data in Indonesian districts and cities. Calculating the distance between points and objects in the data, K-Medoids is a method for clustering based on data points (medoids). A larger dataset is divided into several samples for comparison in CLARA, an extension of the K-Medoids approach. The CLARA method analysis results show that three clusters are the ideal number. The ideal number of clusters in a K-Medoids cluster analysis is two. The Silhouette Score (SS), Davis-Bouldin Index (DBI), and Calinski-Harabasz Index (CHI) are the metrics that are measured. The evaluation of the comparison results shows that the CLARA method has an SS value of 0.66, while K-Medoids has an SS value of 0.62. The comparison of the CLARA and K-Medoids approaches yielded DBI values of 1.38 and 1.92, respectively, and 197.54 and 132.73 for CHI. The findings indicate that, in comparison to the K-Medoids approach, the SS value for the CLARA method is closer to 1, and that the CHI value derived from the CLARA method is likewise greater. The K-Medoids approach has a higher DBI value than the CLARA method, where a lower DBI value denotes superior performance. The CLARA approach is the most effective way to do cluster analysis on livestock population data in Indonesian districts and cities, according to the findings.
PERAMALAN HARGA SAHAM PT UNILEVER INDONESIA MENGGUNAKAN FUZZY TIME SERIES MARKOV CHAIN ABSOLUTE DIFFERENCES K-MEANS CLUSTERING DAN FUZZY TIME SERIES MARKOV CHAIN TREE PARTITION METHOD Rafi', Muhammad Thufeil; Firdaniza, Firdaniza; Parmikanti, Kankan
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (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.v5i3.766

Abstract

Stocks are an investment instrument that is in high demand and can provide large profits for investors, especially stocks from large and popular companies, such as PT Unilever Indonesia. However, the boycott action causes its share price to tend to decline and makes it difficult for investors to make investment decisions. In this research, the development of the Fuzzy Time Series Markov Chain (FTSMC) method, namely Fuzzy Time Series Markov Chain Absolute Differences K-Means Clustering (FTSMC-ADKC) and Fuzzy Time Series Markov Chain Tree Partition Method (FTSMC-TPM) is used in forecasting the stock price of PT Unilever Indonesia. Both methods have a good ability to forecast volatile time series data and do not require data distribution assumptions such as classical forecasting methods. Furthermore, the accuracy of the two methods is compared through the Mean Absolute Percentage Error (MAPE) value, resulting in FTSMC-ADKC being more accurate with a MAPE of 0.71% compared to FTSMC-TPM with a MAPE of 1.21%. By using FTSMC-ADKC, the closing price of PT Unilever Indonesia shares on March 27, 2024 is estimated to be Rp2724.46, which has decreased from the previous day.
PENGGUNAAN MEDIA SOSIAL WHATSAPP TERHADAP MOTIVASI BELAJAR DAN KEMAMPUAN MATEMATIS: A REVIEW OF RESEARCH IN INDONESIA Martini, Martini; Bilkis, Cahaya; Subali Noto, Muchamad; Dewi, Irmawati Liliyana Kusuma
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (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.v5i3.769

Abstract

The internet is expected to help educators keep up with the times when providing materials and increase students' motivation to learn especially mathematics subjects. Students' motivation and mathematical abilities are developmental, interdependent, and influenced by educational experiences' design. The most widely used internet development is WhatsApp social media. With social media, teachers can form a network of collaborative learning groups online that can save many people's time and energy. This study aims to find out the impact of WhatsApp social media on students' motivation and mathematical ability. The method of this research is a systematic literature review using the PRISMA approach. The result of this study is that the use of WhatsApp has become an interaction and meeting point between teachers and students, which has become limitless, so it can be easier to create a positive relationship. Students can have a greater role in decision-making, collaboration, and engagement in offline and online learning because these relationships can help build active learning
EFEKTIVITAS MODEL PjBL BERBANTUAN LKPD TERHADAP KEMAMPUAN LITERASI MATEMATIKA SISWA SMK Virgiano, M. Andre; Yensy B, Nurul Astuty; Haji, Saleh
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (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.v5i3.770

Abstract

This study aimed to determine the effect of the Project Based Learning model assisted by Student Worksheets (LKPD) on the mathematical literacy skills of tenth-grade students at SMK Negeri 7 Rejang Lebong. The research method used in this study was a quantitative approach. The sampling technique used was purposive sampling. The research design used was a post-test-only control group design. In this study, the requirement was that both classes were homogeneous based on the number of students and the average grades of the odd semester final assessment for the 2023/2024 school year at SMK Negeri 7 Rejang Lebong. The test was conducted on statistics material, specifically the measures of central tendency of grouped data. The data collection technique was carried out through tests by providing a test instrument consisting of a set of questions. The test was given in the form of an essay. After conducting validity tests, reliability tests, discrimination index tests, and difficulty index tests, it would be determined whether the question items could be used, used but revised first, or not used. In this study, the t-test was used as the hypothesis test.
ANALISIS KEMAMPUAN LITERASI MATEMATIS SISWA SMP DI KOTA CILEGON Putri, Risma Nandini; Pujiastuti, Heni; Yuhana, Yuyu
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (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.v5i3.771

Abstract

Mathematical literacy skills are students' ability to analyze mathematical problems. Based on the results of PISA (Program for International Student Assessment), the level of mathematical literacy of students in Indonesia is still low. One way to find out the level of students' mathematical literacy skills is to provide description test questions. In this study, researchers will provide mathematical literacy description test questions which are limited to five of the six PISA levels of mathematical literacy. This test will cover three main indicators of mathematical literacy, namely formulating, using concepts, facts and mathematical reasoning (employ), and interpreting and evaluating (interpret). This research aims to analyze the mathematical literacy abilities of junior high school students in Cilegon City. The method used in this research is Systematic Literature Review (SLR). The analysis was carried out by collecting data from articles and journals that were relevant to the topic of discussion, namely the mathematical literacy abilities of junior high school students.
FORECASTING EKSPOR RUMPUT LAUT MENGGUNAKAN ANALISIS TREND Nabillah, Faradiba; Hazimah, Hazimah; Reza, Widya; Wahyu Aranski, Alvendo; Dwiakila Ramadhan , Achiles
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (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.v5i3.772

Abstract

Batam City is located in the Riau Islands Province, Indonesia, known as a strategic free trade area with rapidly growing industrial, trade, maritime and fisheries sectors, especially seaweed cultivation. Seaweed has high economic value and global demand, used as food and raw materials for the cosmetics, pharmaceutical and biotechnology industries. Batam's ideal geographical conditions support the growth of seaweed, with the support of local government policies and cultivation technology. However, challenges such as inadequate infrastructure, limited access to technology must be overcome to increase exports. On the other hand, competition with other neighboring seaweed countries such as Singapore, Vietnam and Thailand is also a challenge. These countries have already developed their seaweed industries well, including in terms of technology, product quality and international marketing networks. Batam needs to adopt innovative and efficient strategies and international cooperation to optimize this potential. With these problems, it is interesting to see the seaweed export forecast in Batam City. Is there an increase or decrease? So the purpose of this study is to describe the best model used in predicting seaweed export volume and describe the results of seaweed export volume predictions in Batam City in 2024 - 2025. The research method is quantitative using Trend analysis. The results of the study show that the best model used is the Quadratic trend model because it has the smallest MAPE, MAD and MSE values ​​compared to other models. Meanwhile, the results of seaweed export forecasts from Batam City continue to experience a significant increase in 2024 - 2025.
PEMECAHAN MASALAH NUMERASI KONTEN GEOMETRI DAN PENGUKURAN LEVEL PENALARAN SISWA SMA DITINJAU DARI GAYA KOGNITIF FIELD INDEPENDENT DAN FIELD DEPENDENT Masrurroh, Aidatul; Rahaju, Endah Budi; Susanah, Susanah
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (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.v5i3.775

Abstract

Minimum Competency Assessment (AKM) of numeracy is one part of the National Examination held by the government today as a replacement for the National Examination. Grønmo (2015) explains the importance of numeracy for students' lives, namely that it can help students solve contextual problems both in the scope of mathematics learning in schools and contexts outside of school. The results of Indonesia's participation in the TIMSS (2015) event were that Indonesia ranked 44th out of 49 countries with a mean numeracy score of 397 from an overall average of 505. It can be said that the numeracy score obtained by Indonesia is far below the overall average. The purpose of this study was to describe the problem solving of geometry content numeracy and measurement of high school students' reasoning levels in terms of the Field Independent (FI) and Field Dependent (FD) cognitive styles of grade XI 8 students at SMAN 1 Krian. The type of research used in this study is descriptive research with a qualitative approach. The sampling technique used a purposive sampling technique with a criterion sampling type in order to select subjects. The instruments for collecting data in this study were cognitive style tests or Group Embedded Figures Test (GEFT) and numeracy problem solving tests (TPMN). All grade XI 8 students were identified for their cognitive style types using GEFT, then one student was taken each representing each type of cognitive style to be given TPMN. Furthermore, the results of TPMN were analyzed and interviews were conducted. The results of the study showed that: 1) students with Field Independent (FI) cognitive style were able to meet the indicators at the stage of understanding the problem, making a plan, and implementing the plan; but were less able to meet the indicators at the stage of re-checking the results, and overall the analytical reasoning level indicators dominated the solving of numeracy problems, 2) students with Field Dependent (FD) cognitive style met the indicators at the stage of understanding the problem and making a plan but were unable to meet the stage of implementing the plan and re-checking the results so that only a few analytical indicators were seen in solving numeracy problems
STRATEGIES IN THE IMPLEMENTATION OF SYNCHROMODAL FREIGHT TRANSPORTATION ON SUMATERA ISLAND Setijadi, Setijadi; Hartati, Verani; Fauzi, Muchammad
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (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.v5i3.777

Abstract

The Sumatra region plays a significant role in Indonesia's economy. In 2022, for instance, the region contributed 22.04% to Indonesia's Gross Domestic Product (GDP), ranking just below Java, the largest contributor. Sumatra is rich in various resources such as plantations, oil, gas, and geothermal energy. However, the operational activities of freight transportation in Sumatra, particularly West Sumatra, still face several challenges stemming from the transportation system and environmental conditions. This research was conducted to explore the opportunities, challenges, strengths, and weaknesses of implementing a synchromodal transportation system in Sumatra as an analysis for its implementation. The study used the Synchromodality Framework and SWOT Analysis. Several transportation collaboration models have been developed, including unimodality, intermodality, multimodality, and synchromodality. Each model has its advantages and disadvantages and is applied based on the characteristics of the transportation system. Related studies have been conducted on multimodal transport, hub & spoke for regional transportation, and single-mode transport. The study concluded that the advantages of implementing a synchromodal transportation system in Sumatra include better utilization of available resources concerning real-time aspects, flexibility, collaboration and coordination, and synchronization. Its weaknesses are related to the need for collaboration networks among transportation operators from different business sectors. The opportunities for implementing synchromodal transportation in Sumatra include real-time aspects, flexibility, collaboration and coordination, synchronization, and commodity and regional factors. The challenges relate to the complexity of planning synchromodal transportation networks and routes, as well as the need for technological and information system support
PREDIKSI HARGA EMAS MENGGUNAKAN METODE AVERAGE BASED FUZZY TIME SERIES Rizal, Yusmet; Ramadhani, Suci
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (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.v5i3.778

Abstract

This research aims to analyze and predict gold prices using the Average Based Fuzzy Time Series method. By utilizing historical data on daily gold prices from March 2034 to July 2024, this research identifies existing patterns and trends to produce accurate predictions. The method used Average Based Fuzzy Time Series (ABFTS) allows processing data with irregular fluctuations, thus providing more stable and reliable results. The analysis results show that the developed forecasting model has good accuracy, measured by the Mean Absolute Percentage Error (MAPE), which shows a low error rate. This research also identifies factors that influence gold prices, providing useful insights for investors in making investment decisions. Thus, this research makes a significant contribution to the field of commodity price forecasting, especially gold, and offers practical recommendations for investors and policy makers

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