Majalah Ilmiah Matematika dan Statistika最新文献

Optimization of production process scheduling at Mataram Convection using the Campbell-Dudek and Smith method and the Ho and Chang method 利用Campbell-Dudek和Smith方法和Ho和Chang方法对Mataram对流生产过程调度进行优化

Majalah Ilmiah Matematika dan Statistika Pub Date : 2023-04-26 DOI: 10.19184/mims.v23i1.36403

Muhammad Ahladi Yunus, M. Marwan, Muhammad Rijal Alfian

{"title":"Optimization of production process scheduling at Mataram Convection using the Campbell-Dudek and Smith method and the Ho and Chang method","authors":"Muhammad Ahladi Yunus, M. Marwan, Muhammad Rijal Alfian","doi":"10.19184/mims.v23i1.36403","DOIUrl":"https://doi.org/10.19184/mims.v23i1.36403","url":null,"abstract":"Konveksi Mataram (Djagoan Kaos dan Seragam) is one of the industries engaged in the manufacture of various types of clothing models with fabric as the basic material. So far, the scheduling method used by the company is the First Come First Serve method, in which the completion of production is based on order-to-order data. In this case, with high order intensity, companies often experience difficulties in completing orders according to a predetermined pick-up time. The problems experienced by the company were caused by the production process scheduling that was not optimal. Based on the problems encountered, the purpose of this research is to obtain the optimal scheduling sequence by determining the smallest makespan (minimum total completion time) of the application of the method to the production process. The methods used in this study are the Campbell-Dudek and Smith method and the Ho and Chang method and from these two methods, it is known that the smallest production process is optimal. Based on the results of calculations using the Campbell-Dudek and Smith method, the optimal scheduling sequence with the smallest makespan is 39163 minutes or the production process will be completed in 73 working days. While the results of calculations using the Ho and Chang method obtained the optimal scheduling sequence with the smallest makespan of 38660.50 minutes or the production process will be completed in 72 working days. From the makespans of the two methods, the Ho and Chang method is superior to the Campbell-Dudek and Smith method with a difference of 502.50 minutes or about 1 working day, whereas when compared to the company's initial method, namely First Serve First Come with a makespan of 43025.50 minutes, the HC method can make completion time efficient with a difference of 4365 minutes or about 8 working days. \u0000Keywords: Campbell-Dudek and Smith methods, first come first serve, Ho and Chang, makespan, production schedulingMSC2020: 90B30","PeriodicalId":264607,"journal":{"name":"Majalah Ilmiah Matematika dan Statistika","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133216632","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}

引用次数: 0

Penerapan model regresi multilevel untuk data ketepatan waktu lulus mahasiswa 学生通过守时数据的多级回归模式的应用

Majalah Ilmiah Matematika dan Statistika Pub Date : 2023-04-26 DOI: 10.19184/mims.v23i1.34479

Rahmatul Ula, Risnawati Ibnas, Khalilah Nurfadilah, M. I. Nawawi, Asfar Asfar

引用次数: 0

Implementasi metode Ward clustering untuk klasterisasi penduduk yang memiliki jaminan kesehatan pada kabupaten dan kota di Provinsi Maluku Ward clustering方法的实施，对马鲁库省的学区和城市的健康规范公民进行分类

Majalah Ilmiah Matematika dan Statistika Pub Date : 2023-04-26 DOI: 10.19184/mims.v23i1.35168

M. Y. Matdoan, A. M. Balami, M. W. Talakua

{"title":"Implementasi metode Ward clustering untuk klasterisasi penduduk yang memiliki jaminan kesehatan pada kabupaten dan kota di Provinsi Maluku","authors":"M. Y. Matdoan, A. M. Balami, M. W. Talakua","doi":"10.19184/mims.v23i1.35168","DOIUrl":"https://doi.org/10.19184/mims.v23i1.35168","url":null,"abstract":"The Health Insurance Program is a protection guarantee for comprehensive health services which includes promotive, preventive and curative and rehabilitative services provided in stages for the community/participants whose contributions are paid by the government. The health insurance program in Maluku Province from year to year has been getting better. However, there are still disparities or gaps between regions in Maluku Province, so it is necessary to study the clusterization of the population who have health insurance in districts/cities in Maluku Province. Ward clustering method is a method that aims to get a cluster that has the smallest possible internal cluster variance. The purpose of this study is to obtain a cluster of residents who have health insurance in districts/cities in Maluku Province. The data used in this study were sourced from Maluku publications in figures at the Maluku Province BPS. This study obtained the results that there are 3 clusters in the cluster of residents who have health insurance in districts/cities in Maluku Province with details of cluster 1 consisting of Tanimbar Islands Regency, Central Maluku, Buru, West Seram, East Seram and South Buru District. Cluster 2 consists of Southeast Maluku Regency, Aru Islands, Southwest Maluku and Tual City. Furthermore, Cluster 3 consists of Ambon City. \u0000Keywords: Clustering, health insurance, wardMSC2020: 62H30","PeriodicalId":264607,"journal":{"name":"Majalah Ilmiah Matematika dan Statistika","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129650908","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}

引用次数: 0

Bayes' approach of linear regression to modeling the human development index in Indonesia 贝叶斯线性回归方法对印度尼西亚人类发展指数进行建模

Majalah Ilmiah Matematika dan Statistika Pub Date : 2023-04-11 DOI: 10.19184/mims.v23i1.31641

Achmad Fazriwanandi, Darnah Andi Nohe, Wasono Wasono

{"title":"Bayes' approach of linear regression to modeling the human development index in Indonesia","authors":"Achmad Fazriwanandi, Darnah Andi Nohe, Wasono Wasono","doi":"10.19184/mims.v23i1.31641","DOIUrl":"https://doi.org/10.19184/mims.v23i1.31641","url":null,"abstract":"Regression analysis is one of the data analysis techniques that can be used to examine the correlation between two variables, namely dependent variable and independent variable. It’s can be used to determine the parameter estimation of linear regression models are; the method of least squares or ordinary least square (OLS), Maximum likelihood estimation (MLE), and the Bayes method. Bayes' method defines the parameter as a random variable that describes the initial comprehension of the parameter before the observation was initiated and elucidated in an initial distribution refer as the prior distribution. The prior distribution used in this study is the pseudo prior distribution. The Data used in this study is secondary data, namely human development index (HDI) data in 2020, which was obtained from the website of the Central Statistics Agency (BPS). This study aims to estimate the regression model parameters using the Bayes method on the HDI data and the population data which adepts with information and communication technology (ICT) in Indonesia in 2020. The results of the specimen and analysis showed that population variables with ICT adepts have a significant effect on HDI variables. The results of the determination coefficient showed that 78.42% of HDI variables are affected by the population variables with ICT adepts while the remaining 21.58% are affected by other factors that have not been studied. \u0000Keywords: Bayes method, human development index, information communication and technology, linear regression, pseudo prior.MSC2020: 62F15","PeriodicalId":264607,"journal":{"name":"Majalah Ilmiah Matematika dan Statistika","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115051363","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}

引用次数: 0

Classification of happiness in North Kalimantan using decision tree-based CHAID 利用基于决策树的CHAID对北加里曼丹的幸福指数进行分类

Majalah Ilmiah Matematika dan Statistika Pub Date : 2023-03-28 DOI: 10.19184/mims.v23i1.37323

Andika Veriyanto, Junezarra Thie Dea Giselle

{"title":"Classification of happiness in North Kalimantan using decision tree-based CHAID","authors":"Andika Veriyanto, Junezarra Thie Dea Giselle","doi":"10.19184/mims.v23i1.37323","DOIUrl":"https://doi.org/10.19184/mims.v23i1.37323","url":null,"abstract":"The concept of welfare is closely related to economic development. The 2021 happiness index in Indonesia shows 5 provinces with the highest index have a GRDP that tends to be low. This study aims to examine the factors that influence happiness in North Kalimantan as the youngest province, which, according to the SPTK 2021, has the second-highest happiness index. The study employs a quantitative method as well as inferential analysis with a decision tree based CHAID to classify happiness. This method is advantageous since it can handle both categorical and continuous variables, as well as data that is not regularly distributed. The happiness level is the dependent variable in this study, with 19 independent variables indicating various factors such as life satisfaction, affect, and eudaimonia. According to the report, 70.2 percent of households in North Kalimantan are in the happy category. According to the findings of this study, the majority of happy households are experiencing pleasure and satisfied with their income. In households where they lack of pleasure, there are other factors that explain happiness such as job satisfaction and not feeling stressed. The accuracy from the CHAID model is 78.85 percent, indicating the model is fit to classify happiness. \u0000Keywords: Happiness index, CHAID, North Kalimantan, SPTK.MSC2020: 62C86","PeriodicalId":264607,"journal":{"name":"Majalah Ilmiah Matematika dan Statistika","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124293797","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}

引用次数: 0

Solusi optimal masalah transportasi biaya tetap menggunakan metode pendekatan tangga 固定成本运输问题的最佳解决方案采用楼梯法

Majalah Ilmiah Matematika dan Statistika Pub Date : 2023-03-20 DOI: 10.19184/mims.v23i1.36402

Nizmi Fitri Rahayu, Fahrudin Muhtarulloh, Dian Nuraiman

{"title":"Solusi optimal masalah transportasi biaya tetap menggunakan metode pendekatan tangga","authors":"Nizmi Fitri Rahayu, Fahrudin Muhtarulloh, Dian Nuraiman","doi":"10.19184/mims.v23i1.36402","DOIUrl":"https://doi.org/10.19184/mims.v23i1.36402","url":null,"abstract":"One special case in transportation problems is the problem of fixed cost transportation, where in this transportation problem there are two cost components, namely fixed costs and variable costs. The difficulty encountered when solving the problem of fixed costs is caused by the behavior of these costs which do not depend on the number of units loaded/transported on the route traversed. The purpose of this study is to determine the optimal solution to the fixed cost transportation problem. This research uses Balinski's linear approach, namely the Stairs Approach Method. The case study used is unbalanced data measuring 3x8, where the fixed costs are vehicle rental costs and the variable costs are fuel. The optimal solution obtained is Rp. 11511.411.768.000,- (eleven trillion five hundred eleven million five hundred eleven billion four hundred eleven million seven hundred sixty-eight thousand rupiah). So it can be concluded that the Ladder Approach Method can be used to find the optimal solution to the fixed cost transportation problem. \u0000Keywords:Fixed costs, transportation problems, stairs approach method, optimal solutionMSC2020:76N25","PeriodicalId":264607,"journal":{"name":"Majalah Ilmiah Matematika dan Statistika","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131059990","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}

引用次数: 0

Peramalan curah hujan di Provinsi Aceh menggunakan metode Box-Jenkins 亚齐省的降雨量采用了Box-Jenkins方法

Majalah Ilmiah Matematika dan Statistika Pub Date : 2023-03-20 DOI: 10.19184/mims.v23i1.34702

Nurhafifah Nurhafifah, Ferdy Patriardian, A. Hidayati, Ratu Rahil Alzahira, Deva Jhuandra Tasyant, Samsul Anwar

{"title":"Peramalan curah hujan di Provinsi Aceh menggunakan metode Box-Jenkins","authors":"Nurhafifah Nurhafifah, Ferdy Patriardian, A. Hidayati, Ratu Rahil Alzahira, Deva Jhuandra Tasyant, Samsul Anwar","doi":"10.19184/mims.v23i1.34702","DOIUrl":"https://doi.org/10.19184/mims.v23i1.34702","url":null,"abstract":"Floods are one of the natural disasters that frequently occur in Indonesia, including in Aceh Province. Floods primarily occur when rainfall is intense, mainly in the rainy season. Flood disaster management in Aceh Province is still not optimal, so efforts are required to minimize the negative effects of the flood disaster. One of the efforts that can be done is to predict the rainfall that may occur in the future. This study aims to predict rainfall in Aceh Province in 2022 and 2023. The data employed are monthly rainfall data in Aceh Province from 2014 to 2021. The forecasting method employed to predict rainfall is the Autoregressive Moving Average (ARMA) model. Forecasting results using the ARMA (8,6) model show that rainfall in Aceh Province in 2022 and 2023 are predicted to tend to be intense in March, April, May, September, October and November. The Aceh government together with the district/city governments need to prepare anticipatory steps, for example by cleaning water flows like ditches and rivers and socializing about the dangers of flooding and its causes, especially for people living in watersheds. These actions are expected to minimize the potential for flooding in Aceh Province in the future, especially when rainfall is predicted to be intense. \u0000Keywords:Aceh Province, box-jenkins, flood, forecasting, rainfallMSC2020:62M10","PeriodicalId":264607,"journal":{"name":"Majalah Ilmiah Matematika dan Statistika","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115985858","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}

引用次数: 0

Modifikasi metode iterasi berorde tiga dengan orde konvergensi optimal 三阶重复法与最优收敛顺序

Majalah Ilmiah Matematika dan Statistika Pub Date : 2023-03-20 DOI: 10.19184/mims.v23i1.33940

Annisa Agustina, W. Wartono

{"title":"Modifikasi metode iterasi berorde tiga dengan orde konvergensi optimal","authors":"Annisa Agustina, W. Wartono","doi":"10.19184/mims.v23i1.33940","DOIUrl":"https://doi.org/10.19184/mims.v23i1.33940","url":null,"abstract":"Weerakoon-Fernando’s and Homeier’s methods are a third-order iterative method to solve nonlinear equations. A new third-order iterative method is constructed by sum of Weerakoon-Fernandon’s and Homeier’s method. This paper discusses the modification of the third-order iterative method using contra harmonic mean with involving one real parameter q. The aim of this modification is to improve the convergence order of the method and keep the number of function evaluations. Based on the result of study shows that the method has a third-order of convergence for and a fourth-order of convergence for with three evaluation of functions. Furthermore, numerical simulation is given to exam the perfomance of the methods. The measurement of performance of the methods, such as : number of iterations, number of function evaluations, numerical convergence order, and value of function, are compared with Newton’s, Weerakoon-Fernando’s, and Homeier’s methods. Generally, the result of numerical simulation shows that the new method for has better performance than others. \u0000Keywords: Weerakoon-Fernando’s method, Homeier’smethod, order of convergence, contra harmonic mean, evaluation of functionMSC2020: 41A25, 41A58, 65H05","PeriodicalId":264607,"journal":{"name":"Majalah Ilmiah Matematika dan Statistika","volume":"81 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134094224","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}

引用次数: 0

Analisis regresi data panel terhadap indeks pembangunan manusia (IPM) kabupaten/kota di Jawa Timur tahun 2017-2021

Majalah Ilmiah Matematika dan Statistika Pub Date : 2023-03-20 DOI: 10.19184/mims.v23i1.32744

Ifadhotun Nikmah

{"title":"Analisis regresi data panel terhadap indeks pembangunan manusia (IPM) kabupaten/kota di Jawa Timur tahun 2017-2021","authors":"Ifadhotun Nikmah","doi":"10.19184/mims.v23i1.32744","DOIUrl":"https://doi.org/10.19184/mims.v23i1.32744","url":null,"abstract":"The Human Development Index (HDI) is one of the main performance indicators that becomes a benchmark for the success of human development which consists of the dimensions of education, health and per capita expenditure. The government's role is very strategic in determining development priorities to realize an improved human development index. The purpose of this researchwas to determine the effect of the variables of Poverty Level, Economic Growth and GRDP per Capita on the Human Development Index (HDI) in 38 Regencies/Cities in East Java Province in 2017-2021. The technique used in this research is Panel Data Regression analysis. The result indicate that the Fixed Effect Model (FEM) Cross Section Weight was chosen as the best modelcompared to the Common Effect Model (CEM) and Random Effect Model (REM). Simultaneously, the poverty rate, economic growth and GRDP per capita have a significant effect on the HDI. Partially, poverty level and economic growth have a negative and significant impact on HDI in districts/cities in East Java, while income per capita has a positive and significant impact on HDI. Economic growth has a negative effect on HDI due to a contraction in economic growth to minus in 2021 due to the Covid-19 pandemic.The variable that has the most influence on the HDI is the poverty rate \u0000Keywords: HDI, panel data regression, fixed effect model cross section weightMSC2020: 62J05","PeriodicalId":264607,"journal":{"name":"Majalah Ilmiah Matematika dan Statistika","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131498043","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}

引用次数: 1

Analisis pengambilan keputusan terhadap pemilihan portofolio saham terbaik menggunakan metode fuzzy analytical hierarchy process dan fuzzy topsis

Majalah Ilmiah Matematika dan Statistika Pub Date : 2022-09-29 DOI: 10.19184/mims.v22i2.32912

Dinda Oktari Putri Marpaung, E. Nababan

{"title":"Analisis pengambilan keputusan terhadap pemilihan portofolio saham terbaik menggunakan metode fuzzy analytical hierarchy process dan fuzzy topsis","authors":"Dinda Oktari Putri Marpaung, E. Nababan","doi":"10.19184/mims.v22i2.32912","DOIUrl":"https://doi.org/10.19184/mims.v22i2.32912","url":null,"abstract":"The proses of decision-making in stock investment considers criteria based on the personal preferences of each investor. In addition, investors also need to analyze fundamental factors that include quantitative and qualitative criteria in which external or internal factors are affecting the company. This is because stocks have a high level of risk, so the selection of a portfolio must be done with the right decision. In making decisions based on many criteria can use fuzzy AHP (analytical hierarchy process) and fuzzy TOPSIS methods. The use of fuzzy logic because it can to cope the subjective assessment result of investor preferences. The fuzzy AHP method is applied to obtain the weights of each criterion which are the factors of stock fundamental analysis. The fuzzy TOPSIS method is applied to determine the ranking of alternatives. Based on the analysis and calculation, the most influential sub criteria is inflation rate and top alternative is the company with the BBNI stock code. \u0000Keywords: Decision-making, Fuzzy AHP, Fuzzy TOPSIS MSC2020: 90B50, 91B06, 62C86","PeriodicalId":264607,"journal":{"name":"Majalah Ilmiah Matematika dan Statistika","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127572728","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}

引用次数: 0