Pub Date : 2023-11-24DOI: 10.37905/euler.v11i2.22448
Sri Rahayu Dangkua, Resmawan Resmawan, Siti Zakiyah
This research aims to improve students' mathematics learning outcomes in the Algebraic Form material using the Course Review Horay learning model. This study is a classroom action research (CAR) conducted in two cycles, involving students from SMP Negeri 1 Kabila as the research subjects. Each student is considered successful if their mathematics learning outcome test meets the minimum completeness criteria, which is 75. The research results show that in the first cycle, the completeness rate was 67.86% out of 28 students, and it increased in the second cycle, with 24 students achieving a completeness rate of 85.71%. This indicates that implementing the Course Review Horay learning model is believed to improve students' mathematics learning outcomes in the Algebraic Form material.
{"title":"Model Course Review Horay : Upaya Meningkatkan Hasil Belajar Matematika Bentuk Aljabar","authors":"Sri Rahayu Dangkua, Resmawan Resmawan, Siti Zakiyah","doi":"10.37905/euler.v11i2.22448","DOIUrl":"https://doi.org/10.37905/euler.v11i2.22448","url":null,"abstract":"This research aims to improve students' mathematics learning outcomes in the Algebraic Form material using the Course Review Horay learning model. This study is a classroom action research (CAR) conducted in two cycles, involving students from SMP Negeri 1 Kabila as the research subjects. Each student is considered successful if their mathematics learning outcome test meets the minimum completeness criteria, which is 75. The research results show that in the first cycle, the completeness rate was 67.86% out of 28 students, and it increased in the second cycle, with 24 students achieving a completeness rate of 85.71%. This indicates that implementing the Course Review Horay learning model is believed to improve students' mathematics learning outcomes in the Algebraic Form material.","PeriodicalId":504964,"journal":{"name":"Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139239439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-24DOI: 10.37905/euler.v11i2.22299
Rindawati Ahmad, M. R. Katili, Sri Lestari Mahmud, Djihad Wungguli, La Ode Nashar
Sya'qila Bakery is a manufacturing industry that produces bread in five flavor variants. The planning carried out by Sya'qila Bakery in the bread production process is considered suboptimal due to the limitation in the quantity of production for each flavor variant, resulting in occasional shortages of raw materials. Additionally, the order production process requires a long total completion time (makespan), resulting in delays in production completion (meaning tardiness). This research aims to optimize the total completion time, the average lateness, the use of raw materials, and production revenue. In this research, the Goal Programming model is utilized with the Branch and Bound method. The analysis results with the Goal Programming model using the Branch and Bound method obtain an optimal solution, which includes an excess of 36 minutes in total completion time (makespan), an excess of 6 minutes in average lateness (mean tardiness), no excess in the availability of raw materials, and zero sales revenue shortfall. Sensitivity analysis results indicate that bread production at Sya'qila Bakery will remain optimal if changes occur in the production completion time, production delay time, and raw material availability, as long as these changes remain within their tolerance limits.
{"title":"Analisis Sensitivitas Model Goal Programming Pada Optimasi Produksi Roti Menggunakan Metode Branch and Bound","authors":"Rindawati Ahmad, M. R. Katili, Sri Lestari Mahmud, Djihad Wungguli, La Ode Nashar","doi":"10.37905/euler.v11i2.22299","DOIUrl":"https://doi.org/10.37905/euler.v11i2.22299","url":null,"abstract":"Sya'qila Bakery is a manufacturing industry that produces bread in five flavor variants. The planning carried out by Sya'qila Bakery in the bread production process is considered suboptimal due to the limitation in the quantity of production for each flavor variant, resulting in occasional shortages of raw materials. Additionally, the order production process requires a long total completion time (makespan), resulting in delays in production completion (meaning tardiness). This research aims to optimize the total completion time, the average lateness, the use of raw materials, and production revenue. In this research, the Goal Programming model is utilized with the Branch and Bound method. The analysis results with the Goal Programming model using the Branch and Bound method obtain an optimal solution, which includes an excess of 36 minutes in total completion time (makespan), an excess of 6 minutes in average lateness (mean tardiness), no excess in the availability of raw materials, and zero sales revenue shortfall. Sensitivity analysis results indicate that bread production at Sya'qila Bakery will remain optimal if changes occur in the production completion time, production delay time, and raw material availability, as long as these changes remain within their tolerance limits.","PeriodicalId":504964,"journal":{"name":"Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139242310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-24DOI: 10.37905/euler.v11i2.20698
M. Arif, Muhammad Faisal
Used cars have a significant transaction value in the automotive market. Estimating the price of a used car is important for buyers and sellers to determine the appropriate value. In this study, we apply a linear regression model using the Python programming language to estimate the price of a used car based on relevant attributes such as year of production, mileage, car tax, fuel consumption, and number of engines. We use a used car dataset that contains important information for analysis. In using the linear regression model in this study, it was successful in obtaining an accuracy of 0.76% and the results for estimating car prices were obtained by inputting car year = 2019, car mileage = 5000, car tax = 145, fuel consumption = 30,2, and engine size = 2. Then managed to get an estimated value of 21.208,505 in Pounds and 393.608,6514549 in Rupiah units. So that it can be said that the Linear Regression model has proven successful in the good category for finding used car price estimates based on certain factors using python language.
{"title":"Penerapan Model Regresi Linear Untuk Estimasi Mobil Bekas Menggunakan Bahasa Python","authors":"M. Arif, Muhammad Faisal","doi":"10.37905/euler.v11i2.20698","DOIUrl":"https://doi.org/10.37905/euler.v11i2.20698","url":null,"abstract":"Used cars have a significant transaction value in the automotive market. Estimating the price of a used car is important for buyers and sellers to determine the appropriate value. In this study, we apply a linear regression model using the Python programming language to estimate the price of a used car based on relevant attributes such as year of production, mileage, car tax, fuel consumption, and number of engines. We use a used car dataset that contains important information for analysis. In using the linear regression model in this study, it was successful in obtaining an accuracy of 0.76% and the results for estimating car prices were obtained by inputting car year = 2019, car mileage = 5000, car tax = 145, fuel consumption = 30,2, and engine size = 2. Then managed to get an estimated value of 21.208,505 in Pounds and 393.608,6514549 in Rupiah units. So that it can be said that the Linear Regression model has proven successful in the good category for finding used car price estimates based on certain factors using python language.","PeriodicalId":504964,"journal":{"name":"Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139241654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-24DOI: 10.37905/euler.v11i2.21820
Ingka Rizkyani Akolo, A. R. Pratama, Asriyati Nadjamuddin
Bone Bolango is one of the districts that has experienced many village and sub-district expansion processes. This expansion process changes the village's potential data. Village potential is the carrying capacity for developing villages in order to improve community welfare. In order to accelerate village development, it is necessary to group villages according to their characteristics so that development is more focused and on target. The aim of this research is to group villages based on indicators of village potential so that groups of villages that have the same characteristics can be obtained, as well as to find out the best method for grouping villages in Bone Bolango Regency. The research results show that the optimum cluster for grouping villages in Bone Bolango Regency based on village potential indicators is the cluster using the ward method because it provides the smallest Xie-Beni index value compared to the fuzzy c-means method. The optimum number of clusters is three clusters. Cluster 1 has high average characteristics consisting of 57 villages, cluster 2 has low average characteristics (except livestock production) consisting of 94 villages and cluster 3 has characteristics of large area and high food production consisting of 9 villages.
Bone Bolango 是经历过多次村庄和分区扩展过程的地区之一。这种扩张过程改变了村庄的潜在数据。村庄潜力是为改善社区福利而发展村庄的承载能力。为了加快村庄发展，有必要根据村庄的特点对村庄进行分组，以便使发展更有针对性和目标性。本研究的目的是根据村庄潜力指标对村庄进行分组，以获得具有相同特征的村庄组，并找出对 Bone Bolango 地区村庄进行分组的最佳方法。研究结果表明，根据村庄潜力指标对 Bone Bolango 摄政区村庄进行分组的最佳聚类是采用选区法的聚类，因为与模糊 c-means 法相比，选区法提供的 Xie-Beni 指数值最小。最佳聚类数为三个聚类。第 1 聚类具有较高的平均特征，由 57 个村庄组成；第 2 聚类具有较低的平均特征（畜牧生产除外），由 94 个村庄组成；第 3 聚类具有面积大和粮食产量高的特征，由 9 个村庄组成。
{"title":"Perbandingan Metode Fuzzy C-Means dan Ward Pada Pengelompokkan Desa Berdasarkan Indikator Potensi Desa","authors":"Ingka Rizkyani Akolo, A. R. Pratama, Asriyati Nadjamuddin","doi":"10.37905/euler.v11i2.21820","DOIUrl":"https://doi.org/10.37905/euler.v11i2.21820","url":null,"abstract":"Bone Bolango is one of the districts that has experienced many village and sub-district expansion processes. This expansion process changes the village's potential data. Village potential is the carrying capacity for developing villages in order to improve community welfare. In order to accelerate village development, it is necessary to group villages according to their characteristics so that development is more focused and on target. The aim of this research is to group villages based on indicators of village potential so that groups of villages that have the same characteristics can be obtained, as well as to find out the best method for grouping villages in Bone Bolango Regency. The research results show that the optimum cluster for grouping villages in Bone Bolango Regency based on village potential indicators is the cluster using the ward method because it provides the smallest Xie-Beni index value compared to the fuzzy c-means method. The optimum number of clusters is three clusters. Cluster 1 has high average characteristics consisting of 57 villages, cluster 2 has low average characteristics (except livestock production) consisting of 94 villages and cluster 3 has characteristics of large area and high food production consisting of 9 villages.","PeriodicalId":504964,"journal":{"name":"Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139238533","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-24DOI: 10.37905/euler.v11i2.22478
D. Sari
Boolean algebra is a branch of mathematics that has many applications, especially in computer science, engineering, and information technology. Boolean algebra is one of the materials taught in discrete mathematics courses. However, students still feel that this material is quite difficult. Therefore, the solution to this problem is to analyze/describe the difficulties students feel. This research aims to describe students' mistakes in solving Boolean algebra problems based on Castolan theory. This study uses a qualitative method. The research subjects were 43 Informatics Engineering students at the Telkom Institute of Technology Purwokerto 2022/2023. The data collection technique uses a Boolean algebra ability test. Data were analyzed based on the Castolan error procedure. The results of this research showed that the percentage of conceptual errors was 33%, the percentage of procedural errors was 23%, and the percentage of technical errors was 44%. Several factors that cause students to make mistakes when solving problems include: 1) Students' lack of understanding of the problems they face, so they become confused when trying to solve them; 2) Lack of accuracy in the calculation process, which causes errors in their answers; 3) Students' inability to convert problems into mathematical models; 4) Lack of student knowledge about the stages needed to solve problems. Lecturers can utilize the results of this research to develop more effective teaching strategies and support students in overcoming difficulties they may encounter.
{"title":"Analisis Kesalahan Mahasiswa dalam Menyelesaikan Permasalahan Aljabar Boolean Berdasarkan Teori Kastolan","authors":"D. Sari","doi":"10.37905/euler.v11i2.22478","DOIUrl":"https://doi.org/10.37905/euler.v11i2.22478","url":null,"abstract":"Boolean algebra is a branch of mathematics that has many applications, especially in computer science, engineering, and information technology. Boolean algebra is one of the materials taught in discrete mathematics courses. However, students still feel that this material is quite difficult. Therefore, the solution to this problem is to analyze/describe the difficulties students feel. This research aims to describe students' mistakes in solving Boolean algebra problems based on Castolan theory. This study uses a qualitative method. The research subjects were 43 Informatics Engineering students at the Telkom Institute of Technology Purwokerto 2022/2023. The data collection technique uses a Boolean algebra ability test. Data were analyzed based on the Castolan error procedure. The results of this research showed that the percentage of conceptual errors was 33%, the percentage of procedural errors was 23%, and the percentage of technical errors was 44%. Several factors that cause students to make mistakes when solving problems include: 1) Students' lack of understanding of the problems they face, so they become confused when trying to solve them; 2) Lack of accuracy in the calculation process, which causes errors in their answers; 3) Students' inability to convert problems into mathematical models; 4) Lack of student knowledge about the stages needed to solve problems. Lecturers can utilize the results of this research to develop more effective teaching strategies and support students in overcoming difficulties they may encounter.","PeriodicalId":504964,"journal":{"name":"Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139240730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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