CAUCHY
http://ejournal.uin-malang.ac.id/index.php/Math
<img src="http://i1153.photobucket.com/albums/p503/joehari1/cooltext190232121865920.png" alt=" photo cooltext190232121865920.png" width="112" height="25" border="0" /> <img src="http://i1153.photobucket.com/albums/p503/joehari1/cooltext190232351464766.png" alt=" photo cooltext190232351464766.png" width="189" height="15" border="0" /><p><span id="result_box" lang="en"><strong>CAUCHY</strong> <span>is a</span> <span>mathematical journal</span> <span>published</span> <span>twice a year</span> <span>in May</span> <span>and</span> <span>November</span> <span>by</span> <span>the Mathematics</span> F<span>aculty of</span> <span>Science</span> <span>and</span> T<span>echnology, </span><span>Maulana Malik Ibrahim State Islamic University of Malang</span><span>.</span> J<span>ournal</span> <span>includes</span> <span>research papers</span><span>,</span> <span>literature studies</span><span>,</span> <span>analysis</span><span>,</span> <span>and problem solving</span> <span>in Mathematics</span> <span>(</span><span>Algebra</span><span>,</span> <span>Analysis</span><span>,</span> <span>Statistics</span><span>,</span> <span>Computing</span> <span>and</span> <span>Applied</span><span>)</span></span></p><p><span lang="en"><span><strong>OAI address of CAUCHY journal</strong>: http://ejournal.uin-malang.ac.id/index.php/Math/oai</span></span></p><p>Registration and article submission guidelines can be downloaded <a href="https://goo.gl/crrzlC" target="_blank">here</a>. (<span id="result_box" lang="id"><em><span class="hps"><span id="result_box" lang="id"><span class="hps">Panduan</span> p</span>endaftaran</span> <span class="hps">dan pengiriman artikel</span> <span class="hps">dapat didownload</span> </em><span class="hps"><em><a href="https://goo.gl/3ZTIFt">di sini</a>.</em>)</span></span></p><p><span lang="id"><span class="hps">- <strong>ISSN : <a href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&1255061534&1&&" target="_blank">2086-0382</a></strong> (print)<br />- <strong>ISSN : <a href="http://issn.pdii.lipi.go.id/issn.cgi?daftar&1447468580&1&&" target="_blank">2477-3344</a></strong> (online)</span></span></p><p><span lang="en"><span><br /></span></span></p>Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malangen-USCAUCHY2086-0382<p>Authors who publish with this journal agree to the following terms:</p><ol><li>Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a <a href="http://creativecommons.org/licenses/by-nc/4.0">Creative Commons Attribution License</a> that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.</li><li>Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.</li><li>Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See <a href="http://opcit.eprints.org/oacitation-biblio.html" target="_new">The Effect of Open Access</a>).</li></ol>Seemingly Unrelated Regression Approach for GSTARIMA Model to Forecast Rain Fall Data in Malang Southern Region Districts
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3488
Time series forecasting models can be used to predict phenomena that occur in nature. Generalized Space Time Autoregressive (GSTAR) is one of time series model used to forecast the data consisting the elements of time and space. This model is limited to the stationary and non-seasonal data. Generalized Space Time Autoregressive Integrated Moving Average (GSTARIMA) is GSTAR development model that accommodates the non-stationary and seasonal data. Ordinary Least Squares (OLS) is method used to estimate parameter of GSTARIMA model. Estimation parameter of GSTARIMA model using OLS will not produce efficiently estimator if there is an error correlation between spaces. Ordinary Least Square (OLS) assumes the variance-covariance matrix has a constant error 𝜀𝑖𝑗~𝑁𝐼𝐷(𝟎,𝝈𝟐) but in fact, the observatory spaces are correlated so that variance-covariance matrix of the error is not constant. Therefore, Seemingly Unrelated Regression (SUR) approach is used to accommodate the weakness of the OLS. SUR assumption is 𝜀𝑖𝑗~𝑁𝐼𝐷(𝟎,𝚺) for estimating parameters GSTARIMA model. The method to estimate parameter of SUR is Generalized Least Square (GLS). Applications GSTARIMA-SUR models for rainfall data in the region Malang obtained GSTARIMA models ((1)(1,12,36),(0),(1))-SUR with determination coefficient generated with the average of 57.726%.Siti Choirun Nisak
Copyright (c) 2016 CAUCHY
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2016-06-032016-06-0342576410.18860/ca.v4i2.3488Correlation Test Application of Supplier’s Ranking Using TOPSIS and AHP-TOPSIS Method
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3489
The supplier selection process can be done using multi-criteria decision making (MCDM) methods in firms. There are many MCDM Methods, but firms must choose the method suitable with the firm condition. Company A has analyzed supplier’s ranking using TOPSIS method. TOPSIS method has a marjor weakness in its subjective weighting. This flaw is overcome using AHP method weighting having undergone a consistency test. In this study, the comparison of supplier’s ranking using TOPSIS and AHP-TOPSIS method used correlation test. The aim of this paper is to determine different result from two methods. Data in suppliers’ ranking is ordinal data, so this process used Spearman’s rank and Kendall’s tau b correlation. If most of the ranked scored are same, Kendall’s tau b correlation should be used. The other way, Spearman rank should be used. The result of this study is that most of the ranked scored are different, so the process used Spearman rank p-value of Spearman’s rank correlation of 0.505. It is greater than 0.05, means there is no statistically significant correlation between two methods. Furthermore, increment or decrement of supplier’s ranking in one method is not significantly related to the increment or decrement of supplier’s ranking in the second methodIka Yuniwati
Copyright (c) 2016 CAUCHY
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2016-05-312016-05-3142657310.18860/ca.v4i2.3489Hybrid Model GSTAR-SUR-NN For Precipitation Data
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3490
Spatio-temporal model that have been developed such as Space-Time Autoregressive (STAR) model, Generalized Space-Time Autoregressive (GSTAR), GSTAR-OLS and GSTAR-SUR. Besides spatio-temporal phenomena, in daily life, we often find nonlinear phenomena, uncommon patterns and unidentified characteristics of the data. One of current developed nonlinear model is a neural network. This study is conducted to form a hybrid model GSTAR-SUR-NN to develop spatio-temporal model that has better prediction. This research is conducted on ten-daily rainfall data at 2005 - 2015 for Blimbing, Singosari, Karangploso, Dau, and Wagir region. Based on the results of this research, indicated that the accuracy of GSTAR ((1), 1,2,3,12,36)-SUR model used cross-covariance weight has relatively similar to GSTAR ((1), 1,2,3 , 12.36)-SUR-NN (25-14-5) for Blimbing and Singosari region with 5% error level. While Karangploso, Dau, and Wagir, GSTAR ((1), 1,2,3,12,36)-SUR-NN (25-14-5) model has better accuracy in predicting the precipitation at three locations with the value of R2prediction for each location is 0.992, 0.580, and 0.474.Agus Dwi SulistyonoWaego Hadi NugrohoRahma FitrianiAtiek Iriani
Copyright (c) 2016 CAUCHY
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2016-05-312016-05-3142748010.18860/ca.v4i2.3490Multigroup Moderation Test in Generalized Structured Component Analysis
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3491
Generalized Structured Component Analysis (GSCA) is an alternative method in structural modeling using alternating least squares. GSCA can be used for the complex analysis including multigroup. GSCA can be run with a free software called GeSCA, but in GeSCA there is no multigroup moderation test to compare the effect between groups. In this research we propose to use the T test in PLS for testing moderation Multigroup on GSCA. T test only requires sample size, estimate path coefficient, and standard error of each group that are already available on the output of GeSCA and the formula is simple so the user does not need a long time for analysis.Angga Dwi MulyantoSolimun SolimunNi Wayan Surya WardhaniSuharno Suharno
Copyright (c) 2016 CAUCHY
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2016-05-312016-05-3142818510.18860/ca.v4i2.3491Parameter Estimation of Structural Equation Modeling Using Bayesian Approach
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3492
Leadership is a process of influencing, directing or giving an example of employees in order to achieve the objectives of the organization and is a key element in the effectiveness of the organization. In addition to the style of leadership, the success of an organization or company in achieving its objectives can also be influenced by the commitment of the organization. Where organizational commitment is a commitment created by each individual for the betterment of the organization. The purpose of this research is to obtain a model of leadership style and organizational commitment to job satisfaction and employee performance, and determine the factors that influence job satisfaction and employee performance using SEM with Bayesian approach. This research was conducted at Statistics FNI employees in Malang, with 15 people. The result of this study showed that the measurement model, all significant indicators measure each latent variable. Meanwhile in the structural model, it was concluded there are a significant difference between the variables of Leadership Style and Organizational Commitment toward Job Satisfaction directly as well as a significant difference between Job Satisfaction on Employee Performance. As for the influence of Leadership Style and variable Organizational Commitment on Employee Performance directly declared insignificant.Dewi Kurnia SariNi Wayan Surya WardhaniSuci Astutik
Copyright (c) 2016 CAUCHY
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2016-05-312016-05-3142869410.18860/ca.v4i2.3492Representation of Graph Theory in Students’ Communication Network at Female Students’ Dormitory of State Islamic Institute of Palopo
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3493
The application of Graph Theory Concept in Communication Network Analysis is interesting to observe. This research was carried out to learn how Communication Network structure was formed and who had necessary role in the network. It was explorative research and conducted at Female Students’ Dormitory of State Islamic Institute of Palopo (Asrama Putri IAIN Palopo). The results were interpreted by using Microsoft NodeXL Version 1.0.1.113. It was found that the communication network structure of female students’ who stayed at the Dormitory decentralized. It shows that each student had same opportunity to communicate one another directly or indirectly, which 4 to 9 path distance. It was also identified that from 110 people, Suarni was the student who had significant influence in the communication network.Muhammad Hajarul AswadWahyuni Husain
Copyright (c) 2016 CAUCHY
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2016-05-312016-05-3142959910.18860/ca.v4i2.3493The Application of Quadratic Bezier Curve on Rotational and Symmetrical Lampshade
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3494
The procedure of constructing lampshade is through parameter merger and selection of Bezier surfaces shapeshifters; thus it producesperfect and varied sitting-lampshades.Constructing sitting-lamp shades requires the study of the physical (lighting) and geometryaspects. In terms of geometry, the existed sitting-lampshade creation models is generally monotonous and constructed from objects pieces. In line with these problems, this research is divided into four stages:First, preparing the data to build a sitting-lampshade. Second, technical studying to construct the symmetricity of the sitting-lamp shade shape.Third, constructing the parts of the sitting-lampshade, namely the base, the main part, the roof. Fourth, constructingthe complete sitting-lampshade. The results of this research to obtain the procedures of constructing the sitting-lampshade namely: First, dividing the major axis into three non-homogeneous sub segments.Second, constructing parts of the sitting-lampshade namely the base, the main part, and the roof by combining the sitting-lamp shade components from the geometrical objects deformation.Third, filling each sub segment of non-homogeneous parts with parts of the lampshade and creating the boundary curvesproducing a varied innovative symmetricalmodels of sitting-lampshade.Erny OctafiatiningsihImam Sujarwo
Copyright (c) 2016 CAUCHY
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2016-05-012016-05-014210010610.18860/ca.v4i2.3494