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EIGEN MATHEMATICS JOURNAL

eigen
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Published by Universitas Mataram

ISSN : 26153599 EISSN : 26153270 DOI : -

Core Subject : Education,

Mathematics

Eigen Mathematics Journal mempublikasikan artikel yang berkontribusi pada informasi baru atau pengetahuan baru terkait Matematika, Statistika, dan Aplikasinya. Selain itu, jurnal ini juga mempublikasikan artikel berbentuk survey dalam rangka memperkenalkan perkembangan terbaru dan memotivasi penelitian selanjutnya dalam bidang matematika, statistika, dan aplikasinya.

Arjuna Subject : -

Articles 8 Documents

Search results for , issue "In Press Desember 2018" : 8 Documents clear

Model Statistical Downscaling Nonparametrik pada Simulasi Data Curah Hujan Harian Pos Jurang Malang Daerah Aliran Sungai Jangkok Mustika Hadijati; Desy Komalasari; Irwansyah Irwansyah
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

The prediction of river water discharge can be determined by developing a river water discharge model based on climate information, especially rainfall information. This research aims to obtain a simulation of rainfall data that will be used to river water discharge modeling. The simulation of rainfall data is obtained using statistical downscaling model which develop the functional model between global climate data and local climate data. Daily precipitation of General Circulation Model (GCM) is used to be predictor variables. It is global climate data.. And, daily rainfall of Jangkok watershed, the local climate data, is used to be response variable.. In order to reduce the dimension of GCM global data, GCM data is projected to a litle number of variable using classification and regression tree (CART) method. Then, the projection variables are used to develop statistical downscaling model of rainfall based on Kernel nonparametric regression. Daily rainfall data of Jurang Malang station, Jangkok watershed, is simulated based on the model obtained.

Penerapan aritmatika modulo untuk menguji validitas dan mengembangkan nomor ISBN (International Standard Book Number) Lukman Ibrahim; Syamsul Bahri; Irwansyah -
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

International Standard Book Number or ISBN is a code that contains information about the title, the publisher, the different types of materials for making the book, and publisher group from a book. The ISBN code of a book along with its development need to be checked for validity, because the more books are published, the more chance the book will be copied so that it has a double ISBN number. This research show that the use of modulo arithmetic in arranging ISBN for a book, especially ISBN-10 and ISBN-13. In this research too discussed about validation ISBN-10 and ISBN-13 using modulo arithmetic and expanded by developing an ISBN-n, for a natural number n greater than 10. Validation will be carried out in two stages, namely manually using modulo arithmetic calculation and then computing, by compiling java-based application to validate an ISBN. The development of ISBN-n for n ∊ ℕ and n ≥ 11 use the advantages of ISBN-10 and ISBN-13 and (Memorandum of Understanding/MoU) ISBN agency. Case studies in the Department of Library and Archives of West Nusa Tenggara Province on the ISBN validity of additional collection books for the 2015-2016 period showed that the ISBN validity of these books is 96%.

Penggunaan Algoritma Genetika Untuk Penjadwalan Penerbangan di Bandara Internasional Lombok Raehanatul Mardiyah; Mamika Ujianita Romdhini; Irwansyah -
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

Penjadwalan penerbangan merupakan salah satu permasalahan yang sangat penting dilakukan agar konsumen mendapatkan pelayanan yang maksimal. Pada umumnya, penjadwalan dilakukan dengan cara manual. Cara ini memiliki keakuratan yang kurang baik dan dapat memberikan peluang terjadinya tabrakan jadwal. Tujuan dari penelitian ini adalah menyusun jadwal yang optimal untuk penerbangan pesawat di Bandara Intenasional Lombok. Metode yang digunakan adalah metode algoritma genetika. Algoritma genetika memungkinkan dapat menyelesaikan masalah yang kompleks dengan membangkitkan sejumlah individu yang dihitung nilai fitness-nya, dan memanfaatkan proses evolusi yang terdiri dari proses seleksi, crossover, dan mutasi. Berdasarkan hasil analisis yang telah dilakukan, hasil dari penjadwalan penerbangan terbaik didapatkan dari individu terbaik dengan nilai parameter-parameter ukuran populasi sebesar 10, jumlah generasi sebesar 10, dan peluang mutasi sebesar 0,01 dengan nilai fitness tertinggi yaitu 1. Individu terbaik ini menepati slot waktu berisikan 108 slot dengan estimasi waktu 10 menit setiap slotnya. Slot-slot tersebut menentukan waktu take off dan landing sebuah pesawat

Usulan Rute Optimal Distribusi Sampah Shift I Kota Sumbawa Besar Menggunakan Metode GVRP Koko Hermanto; Eki Ruskartina
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

Generalized vehicle routing problem (GVRP), for each vertex of the graph is partitioned into vertex sets and called groups, it will be determined the optimal route given to each set group includes exactly one vertex of each group. Furthermore, the cluster generalized vehicle routing problem (CGVRP) was introduced which aims to determine the optimal route for each vertex for each cluster. The optimal route can be solved using the Djikstra Algorithm. The distribution of waste in the city of Sumbawa Besar is still considered to be less than optimal, so this system can be implemented by making direct connections between each polling station. This system produces the shortest route, travel details, distance between polling stations and travel costs.

Prediksi Curah Hujan Bulanan Di Kota Samarinda Menggunakan Persamaan Regresi Dengan Prediktor Data Suhu dan Kelembapan Udara Satriyogi Putramulyo; Siti Alaa
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

Prediksi curah hujan bulanan dengan menggunakan prediktor suhu udara dan kelembapan udara telah dilakukan. Data diperoleh dari Stasiun Meteorologi Temindung Samarinda. Evaluasi dilakukan dengan membandingkan dan menghitung besarnya penyimpangan prediksi curah hujan bulanan terhadap hujan hasil observasi. Data yang digunakan adalah data harian yang dijumlahkan dan diratakan pada setiap bulannya. Untuk menganalisa digunakan data dari tahun 2005 sampai 2015 sedangkan data tahun 2016 untuk membandingkan hasil prediksi terhadap observasi. Prediksi curah hujan bulanan menggunakan metode regresi linier berganda. Hasil pengolahan data menunjukkan bahwa secara umum prediksi curah hujan bulanan tahun 2016 di kota Samarinda mengalami under estimate (lebih kecil dari nilai aktualnya) dan hasil prediksi yang paling baik terjadi pada bulan Oktober. Prediksi curah hujan bulanan dengan prediktor suhu dan kelembapan udara menghasilkan nilai koefisien korelasi sangat kuat dan RMSE yang baik yaitu r = 0.93 dan RMSE = 46,26%.

Small Area Estimation dengan Metode Hierarchical Bayes pada Proporsi Destinasi Objek Wisata Halal Kabupaten Lombok Barat Husnul Arini; Desy Komalasari; Nurul Fitriyani
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

Research using Hierarchical Bayes (HB) applied to Small Area Estimation (SAE) was conducted with the aim to estimate the proportion of halal tourism destination in West Lombok Regency. The development of halal taourism object in West Lombok that has been done by the Departement of Culture and Tourism, has not been fully able to do direct estimation on a small area, such as at the sub-district level. One way of obtaining estimation data up to the sub-district level is by increasing the sample size. However, increasing the sample size will cost time and money. Therefore, SAE method can be used to solve the poblem of data optimization. Furthermore, the HB method is used in the process of finding the expected alleged value. The prediction process was performed using Markov Chain Monte Carlo (MCMC) by applying the conditional Gibbs Algorithm of Metropolis-Hasting. Indirect modeling using HB method on SAE is based on the Fay-Herriot model for the area level with the help of supporting variables. The estimation results were then compared with the direct estimates with the value of the variance statistic as a benchmark. The results showed that the estimation using HB gave in a smaller average of variance value score of 0.021, compared with direct estimates with an average of variance value of 0.042. This showed that indirect estimation using HB method gave better result than using direct estimation method.

Model Regresi Nonparametrik Deret Fourier pada Pola Data Curah Hujan di Kota Mataram Widiya Tri Astuti; Mustika Hadijati; Irwansyah -
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

Rainfall is one of the elements of the climate that has influence on people's lives in West Nusa Tenggara Province. Thecapital city of West Nusa Tenggara Province (NTB), namely the City of Mataram, in December 2016 was affected byflood disaster due the rainfall increation. This causes all activities in the City of Mataram paralyzed. This study aimed tomodelling the rainfall and to determine the rainfall grade prediction in the City of Mataram in 2017. The method usedwas nonparametric regression of Fourier series. Based on the results of the analysis that has been committed, the bestFourier series of nonparametric regression model obtained at the Selaparang station was a model with 101 number ofknots and 0.959116 value of R2 . For the Ampenan station, the best model obtained with 101 knots and 0.966992 valueof R2 . As well as for the Cakranegara station, the best model obtained with 106 number of knots and 0.987778 value ofR2 .

Estimasi Parameter Regresi Linear Menggunakan Regresi Kuantil Baiq Devi Rachmawati; Qurratul Aini
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

Regression analysis is a statistical analysis method for estimating the relationship between dependent variables (Y) and one or more independent variables (X) . As the purpose of this study is to theoretically examine the quantile regression method in estimating linear regression parameters. In regression analysis usually the method used to estimate parameters is the least square method with assumptions that must be met that normal assumption, homoskedasticity, no autocorrelation and non multicollinearity. Basically the least square method is sensitive to the assumptions of deviations in the data, so that the estimations results will be lees good if the assumptions are not fulfilled. Therefore, to overcome the limitations of the least square method developed a quantile regression method for estimating linear regression parameters. Based on the result of research that has been done shows that the estimation of linear regression parameters using the quantile regression method is obtained by minimazing the absolute number of errors through the simplex algorithm.

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Home Page

OAI Link

Editorial Team

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Contact Name Ni Wayan Switrayni

Contact Email niwayan.switrayni@unram.ac.id

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Location Kota mataram, Nusa tenggara barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Ni Wayan Switrayni

Contact Email
niwayan.switrayni@unram.ac.id

Phone
-

Journal Mail Official
eigen@unram.ac.id

Editorial Address
-

Location
Kota mataram,

Nusa tenggara barat

INDONESIA