发布求助
文献互助 智能选刊 最新文献

EIGEN MATHEMATICS JOURNAL最新文献

筛选
英文 中文
Some Special Graphs of Quaternion Group 四元数群的一些特殊图
EIGEN MATHEMATICS JOURNAL Pub Date : 2021-07-01 DOI: 10.29303/EMJ.V4I1.74
S. AbdulGazir, I. G. A. W. Wardhana
{"title":"Some Special Graphs of Quaternion Group","authors":"S. AbdulGazir, I. G. A. W. Wardhana","doi":"10.29303/EMJ.V4I1.74","DOIUrl":"https://doi.org/10.29303/EMJ.V4I1.74","url":null,"abstract":"Research on an algebraic structure represented in graph theory opens the way for new research in recent years. Several types of new graphs continue to be developed, such as coprime and non-coprime graphs. This article will represent the quaternion group in several graphs, such as coprime graphs, non-coprime graphs, commuting graphs, non-commuting graphs, and identity graphs. We obtained several theorems about unique graphs. One of the results is that non-coprime graphs from the quaternion group are complete and regular graphs.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128126490","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
Application of the Floyd Warshall Algorithm in Determining the Shortest Route for Distribution of UD Nadira Cinta Rasa Bread to Praya, Central Lombok Floyd Warshall算法在确定UD Nadira Cinta Rasa面包配送至龙目岛中部Praya的最短路线中的应用
EIGEN MATHEMATICS JOURNAL Pub Date : 2021-06-30 DOI: 10.29303/emj.v4i1.96
Annisa Zaen Febryantika, Fidyatnisa Alyunda Puspandini, Indah Rizqiana Amalia, Maya Annisa
{"title":"Application of the Floyd Warshall Algorithm in Determining the Shortest Route for Distribution of UD Nadira Cinta Rasa Bread to Praya, Central Lombok","authors":"Annisa Zaen Febryantika, Fidyatnisa Alyunda Puspandini, Indah Rizqiana Amalia, Maya Annisa","doi":"10.29303/emj.v4i1.96","DOIUrl":"https://doi.org/10.29303/emj.v4i1.96","url":null,"abstract":"Optimizing the shortest route is needed by a company in the process of distributing goods to consumers. This optimization can help companies optimize the mileage and costs from source to destination. In this study, the shortest route method used is the Floyd-Warshall algorithm to determine the shortest route. Floyd-Warshall algorithm can compare all the possible paths in the graph for each side of all vertices it passes with the minimum number. Based on the calculation results of this study, the shortest route was obtained from Mataram as the source and Praya as the destination was 31 km.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116602484","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
Comparison of Hierarchical and Non-Hierarchical Methods in Clustering Cities in Java Island using the Human Development Index Indicators year 2018 基于2018年人类发展指数的爪哇岛城市集群分级与非分级方法比较
EIGEN MATHEMATICS JOURNAL Pub Date : 2021-06-30 DOI: 10.29303/emj.v4i1.89
Alvia Rossa Damayanti, A. Wijayanto
{"title":"Comparison of Hierarchical and Non-Hierarchical Methods in Clustering Cities in Java Island using the Human Development Index Indicators year 2018","authors":"Alvia Rossa Damayanti, A. Wijayanto","doi":"10.29303/emj.v4i1.89","DOIUrl":"https://doi.org/10.29303/emj.v4i1.89","url":null,"abstract":"","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117044035","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
Penerapan Model Vector Autoregressive Integrate Moving Average dalam Peramalan Laju Inflasi dan Suku Bunga di Indonesia
EIGEN MATHEMATICS JOURNAL Pub Date : 2020-12-30 DOI: 10.29303/emj.v3i2.62
J. Jusmawati, Mustika Hadijati, Nurul Fitriyani
{"title":"Penerapan Model Vector Autoregressive Integrate Moving Average dalam Peramalan Laju Inflasi dan Suku Bunga di Indonesia","authors":"J. Jusmawati, Mustika Hadijati, Nurul Fitriyani","doi":"10.29303/emj.v3i2.62","DOIUrl":"https://doi.org/10.29303/emj.v3i2.62","url":null,"abstract":"The inflation and interest rates in Indonesia have a significant impact on the country's economic development. Indonesian inflation and interest rates data are multivariate time series data that show activity over a certain period of time. Vector Autoregressive Integrated Moving Average (VARIMA) is a method for analyzing multivariate time series data. This method is a simultaneous equation modeling that has several endogenous variables simultaneously. This study aimed to model the inflation and interest rates data, from January 2009 to December 2016 and predict inflation and interest rates by using VARIMA method. The model obtained was the VARIMA(0,2,2) model, with estimated parameters using the maximum likelihood method. The choice of the VARIMA(0,2,2) model was based on the smallest AIC value of -4,2891, with a MAPE value for the inflation and interest rates forecasting were 6,04% and 1,84%, respectively, which indicates a very good forecast results.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129220234","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
Pengembangan Motif Batik Sasambo dengan Sistem Lindenmayer
EIGEN MATHEMATICS JOURNAL Pub Date : 2020-12-30 DOI: 10.29303/emj.v3i2.77
Subaiah Marlina, Qurratul Aini, I. Sudiarta
{"title":"Pengembangan Motif Batik Sasambo dengan Sistem Lindenmayer","authors":"Subaiah Marlina, Qurratul Aini, I. Sudiarta","doi":"10.29303/emj.v3i2.77","DOIUrl":"https://doi.org/10.29303/emj.v3i2.77","url":null,"abstract":"Batik is an Indonesian intangible cultural heritage that needs to be preserved. Indonesia has a variety of batik patterns such as Sasambo (Sasak, Samawa, and Mbojo) batik patterns from West Nusa Tenggara. This study aims to develop Sasambo batik patterns by using the Lindenmayer System (L-System). The Sasambo batik patterns developed in this study are of two types: Lumbung (rice barn) and Kangkung (water spinach) patterns. By applying the L-System, there are three different ways that can be done, namely (1) making the Sasambo batik patterns as axioms, (2) making the batik patterns as generators, and (3) combining the Sasambo patterns with fractals. Based on the new patterns produced using the L-System, the selection of generators should have the initial and final segments which are both in a single line position, so that the original patterns unchanged.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122007899","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 Jumlah Siswa Baru Madrasah Aliyah (MA) Manhalul Ma’arif Darek-Lombok Tengah 评估了伊斯兰学校的新生人数
EIGEN MATHEMATICS JOURNAL Pub Date : 2020-12-30 DOI: 10.29303/emj.v3i2.88
Lisa Harsyiah, Nurul Fitriyani, Salwa Salwa
{"title":"Peramalan Jumlah Siswa Baru Madrasah Aliyah (MA) Manhalul Ma’arif Darek-Lombok Tengah","authors":"Lisa Harsyiah, Nurul Fitriyani, Salwa Salwa","doi":"10.29303/emj.v3i2.88","DOIUrl":"https://doi.org/10.29303/emj.v3i2.88","url":null,"abstract":"This study aimed to forecast the new student number at Madrasah Aliyah (MA) Manhalul Ma'arif Darek. The data used in this study was the annual time series data of new students who enrolled in the school, from the 1998/1999 academic year to 2016/2017. Based on the data obtained, it shows that the number of new students who enroll in Madrasah Aliyah (MA) Manhalul Ma'arif Darek tends to fluctuate. This fluctuating pattern is a problem faced by Madrasah Aliyah (MA) Manhalul Ma'arif Darek in determining strategic and policy steps related to planning the provision of school facilities / infrastructure. Therefore we need a forecasting method in accordance with the data pattern. The forecasting method used is the Fuzzy Time Series Cheng method. This method uses fuzzy principles as the basis of the forecasting process. The forecasting process results obtained the Mean Square Error (MSE) value of 101.5009 and the Mean Absolute Percentage Error (MAPE) value of 18.49%. The results showed that the Fuzzy Time Series Cheng method performed well in predicting the number of new students at Madrasah Aliyah (MA) Manhalul Ma'arif Darek.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127716610","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: 2
Penerapan Metode Hungarian dalam Penugasan Dosen Pengampu Mata Kuliah Program Studi Matematika FMIPA Universitas Mataram 匈牙利方法的应用在马塔兰大学FMIPA数学学习计划教授的任务中
EIGEN MATHEMATICS JOURNAL Pub Date : 2020-12-30 DOI: 10.29303/emj.v3i2.63
Muhammad Khairurradziqin, Ahmad Ruslan, Dzakiyatul Mardliyah, Fahmi Handika, Mamika Ujianita Romdhini
{"title":"Penerapan Metode Hungarian dalam Penugasan Dosen Pengampu Mata Kuliah Program Studi Matematika FMIPA Universitas Mataram","authors":"Muhammad Khairurradziqin, Ahmad Ruslan, Dzakiyatul Mardliyah, Fahmi Handika, Mamika Ujianita Romdhini","doi":"10.29303/emj.v3i2.63","DOIUrl":"https://doi.org/10.29303/emj.v3i2.63","url":null,"abstract":"The tight schedule of lecture activities requires accuracy so that it always runs smoothly. Lecturer assignments play an important role to ensure the smooth lecture activities. Problems that often occur in the assignment of these lecturers need to be avoided. In an effort to reduce the risk of problems that occur in the assignment of lecturers, it is necessary to make a structured system with the right method. Hungarian method can be said very appropriate for this assignment problem because each course will only be charged to one lecturer. Another advantage of using the hungarian method in this lecturer assignment model is also because it uses the preferences of prospective lecturers as subjects of measurement. Each lecturer will take courses according to their best preferences with the expectation that the lecturer will have more mastery in the courses that he will teach.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126699702","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 Penjualan Kendaraan Mobil Segmen B2B dengan Metode Regresi Linear Berganda, Jaringan Saraf Tiruan dan Jaringan Saraf Tiruan – Algoritma Genetika 汽车的销售模型是B2B段，采用模拟神经网络和模拟神经网络——基因算法
EIGEN MATHEMATICS JOURNAL Pub Date : 2020-12-30 DOI: 10.29303/emj.v3i2.80
Muhammad Agung Nugraha, F. Farizal, Djoko Sihono Gabriel
{"title":"Peramalan Penjualan Kendaraan Mobil Segmen B2B dengan Metode Regresi Linear Berganda, Jaringan Saraf Tiruan dan Jaringan Saraf Tiruan – Algoritma Genetika","authors":"Muhammad Agung Nugraha, F. Farizal, Djoko Sihono Gabriel","doi":"10.29303/emj.v3i2.80","DOIUrl":"https://doi.org/10.29303/emj.v3i2.80","url":null,"abstract":"This study aims to create an effective forecasting model in predicting sales of car products in the B2B segment (Business to Business) to obtain estimates of product sales in the future. This research uses multiple linear regression and artificial neural networks that are optimized by genetic algorithms. Forecasting factors for car sales are generally issued by total national car sales, the Consumer Price Index, the Consumer Confidence Index, the Inflation Rate, Gross Domestic Product (GDP), and Fuel Oil Price. The author has also gotten the factors that play a role in the sale of B2B segment by diverting the survey to 106 DMU (Decision Making Unit) who decide to purchase cars in their company. Then we evaluate the results of the questionnaire in training data and simulations on the Artificial Neural Network. Optimized Artificial Neural Networks with Genetic Algorithms can improve B2B segment car sales' accuracy when comparing error values in the ordinary Artificial Neural Network and Multiple Linear Regression.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115709906","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
Optimasi Penyaluran Bahan Bakar Minyak di Wilayah Maluku Indonesia
EIGEN MATHEMATICS JOURNAL Pub Date : 2020-12-30 DOI: 10.29303/emj.v3i2.81
Rini Dian Sari, F. Farizal, Djoko Sihono Gabriel
{"title":"Optimasi Penyaluran Bahan Bakar Minyak di Wilayah Maluku Indonesia","authors":"Rini Dian Sari, F. Farizal, Djoko Sihono Gabriel","doi":"10.29303/emj.v3i2.81","DOIUrl":"https://doi.org/10.29303/emj.v3i2.81","url":null,"abstract":"Fossil fuel (BBM) is a vital commodity and has a strategic value for people's lives. On the demand side, the need for BBM tends to increase along with the increasing energy demand for people's lives. Therefore, the distribution system for BBM has to be optimized in order to fulfill the people’s demand. The aim of this paper is to optimize vehicle route for BBM distribution in Maluku so that it has minimum cost, distance, and time. The optimization method in this paper is Mix Integer Linear Programming (MILP). Decision variables in this paper are chosen from the most significant variables for BBM distribution in Maluku.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114204916","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 Karakter Kode Pada Cipher Hill Menggunakan Kode ASCII 加密希尔的字符修改使用ASCII代码
EIGEN MATHEMATICS JOURNAL Pub Date : 2020-06-07 DOI: 10.29303/emj.v1i2.54
Deni Hamdani, J. Junaidi
{"title":"Modifikasi Karakter Kode Pada Cipher Hill Menggunakan Kode ASCII","authors":"Deni Hamdani, J. Junaidi","doi":"10.29303/emj.v1i2.54","DOIUrl":"https://doi.org/10.29303/emj.v1i2.54","url":null,"abstract":"Cipher hill adalah algoritma cipher poligrafik berdasarkan transformasi linear, yang ditemukan oleh Lester S. Hill pada tahun 1929. Algoritma cipher Hill mengenkripsi plainteks dengan kongruensi linier C≡KP(mod 26) dan mendekripsi cipherteks dengan kongruensi linier P≡K^(-1) C(mod 26). Enkripsi atau enciphering adalah proses mengubah plainteks (pesan asli) menjadi cipherteks (pesan tersandi), sementara proses balik mengubah cipherteks kembali menjadi plainteks oleh penerima yang dituju, disebut dekripsi atau deciphering. Banyak kode atau karakter dalam cipher Hill adalah sebanyak huruf dalam alphabet (A, B, C, ..., Z). Jumlah atau banyak karakter kode dalam cipher Hill, sangat berpengaruh terhadap kekuatan suatu cipher, sehingga diperlukan modifikasi dengan menambahkan atau mengganti karakter kode dengan karakter kode ASCII (American Standard Code for Information Interchange) (desimal) 33-126.","PeriodicalId":281429,"journal":{"name":"EIGEN MATHEMATICS JOURNAL","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134310610","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: 2
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信