CAUCHY
http://ejournal.uin-malang.ac.id/index.php/Math
<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/3ZTIFt">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="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>Analisis Klaster K-Means dari Data Luas Grup Sunspot dan Data Grup Sunspot Klasifikasi Mc.Intosh yang membangkitkan Flare Soft X-Ray dan H-alpha
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3166
Analisis klaster merupakan teknik interpendensi yang mengelompokkan suatu objek berdasarkan kemiripan dan kedekatan jarak antar objek. Pengelompokan objek dengan jumlah banyak membutuhkan waktu yang lama. Salah satu analisis klaster yang dapat digunakan dalam situasi ini adalah analisis klaster non hierarki, yaitu K-means. Pada artikel ini mengelompokkan data luas grup sunspot dan data grup sunspot klasifikasi Mc.Intosh yang membangkitkan flare soft X-Ray dan Hα. Untuk mengetahui luas grup sunspot dan grup sunspot klasifikasi Mc.Intosh yang berpeluang membangkitkan flare soft X-Ray dan Hα dengan intensitas ledakan yang tinggi dan rendah. Berdasarkan hasil analisis, diperoleh dua klaster yaitu klaster pertama yang tergolong mampu membangkitkan flare Soft X-Ray dan Hα dengan intensitas yang tinggi. Sedangkan klaster kedua yang tergolong mampu membangkitkan flare Soft X-Ray dan Hα dengan intensitas yang rendahSiti JumarohNanang Widodo
Copyright (c) 2015 CAUCHY
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2015-12-042015-12-04411910.18860/ca.v4i1.3166Aplikasi Pengambilan Keputusan dengan Metode Tsukamoto pada Penentuan Tingkat Kepuasan pelanggan
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3168
Tsukamoto method is one method of fuzzy inference system on fuzzy logic for decision making. Steps of the decision making in this method, namely fuzzyfication (process changing the input into kabur), the establishment of fuzzy rules, fuzzy logic analysis, defuzzyfication (affirmation), as well as the conclusion and interpretation of the results. The results from this research are steps of the decision making in Tsukamoto method, namely fuzzyfication (process changing the input into kabur), the establishment of fuzzy rules by the general form IF a is A THEN B is B, fuzzy logic analysis to get alpha in every rule, defuzzyfication (affirmation) by weighted average method, as well as the conclusion and interpretation of the results. On customers at the case, in value of 16 the quality of services, the value of 17 the quality of goods, and value of 16 a price, a value of the results is 45,29063 and the level is low satisfactionVenny Riana Riana AgustinWahyu Henky Irawan
Copyright (c) 2015 CAUCHY
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2015-11-152015-11-1541101510.18860/ca.v4i1.3168Bilangan Kromatik Grap Commuting dan Non Commuting Grup Dihedral
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3169
Commuting graph is a graph that has a set of points X and two different vertices to be connected directly if each commutative in G. Let G non abelian group and Z(G) is a center of G. Noncommuting graph is a graph which the the vertex is a set of G\Z(G) and two vertices x and y are adjacent if and only if xy≠yx. The vertex colouring of G is giving k colour at the vertex, two vertices that are adjacent not given the same colour. Edge colouring of G is two edges that have common vertex are coloured with different colour. The smallest number k so that a graph can be coloured by assigning k colours to the vertex and edge called chromatic number. In this article, it is available the general formula of chromatic number of commuting and noncommuting graph of dihedral groupHandrini RahayuningtyasAbdussakir AbdussakirAchmad Nashichuddin
Copyright (c) 2015 CAUCHY
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2015-11-152015-11-1541162110.18860/ca.v4i1.3169Estimasi Nonlinear Least Trimmed Squares (NLTS) pada Model Regresi Nonlinier yang Dikenai Outlier
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3170
<p>Constant Elasticity of Substitution (CES) production function is the intrinsic nonlinear regression models that are often used to estimate the data in an industry. Intrinsic nonlinear regression model is a kind<br />of nonlinear regression that can not be linearized, so as to estimate the beta parameters nonlinear statistical model used was Nonlinear Least Squares (NLS) using a first order taylor series approach used in the Gauss<br />Newton iteration. One of the problems often encountered in the analysis of data is an outlier, the presence of outliers in the data analysis greatly influence the results of the analysis so it becomes less valid and the estimation<br />become biased. One method that is resistant to outliers regression is a method of Nonlinear Least Trimmed Squares. This research aims to determine the characteristics of parameter CES production function which<br />contains outlier. The result shows that parameter of the production function CES which contains outliers are bias, inconsistent. So the CES production function which does not contain outliers better than the are contains<br />outliers.</p>Nur Laili ArofahSri Harini
Copyright (c) 2015 CAUCHY
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2015-11-152015-11-1541222710.18860/ca.v4i1.3170Penerapan Kurva Bezier Karakter Simetrik dan Putar pada Model Kap Lampu Duduk Menggunakan MAPLE
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3171
This research aimed to obtain construction procedures lampshade form through incorporation and election of parameters shape shifter Bezier surface. Thus, it product a sholid lampshade that both symmetrical and varied. In contruction lampshade it requires learning about the physical (expose) and geometrical aspects. In terms of geometry model-making of lampshade sitting which has existed in general still monotone and built of object cut model. Dealing with the problem, so this research is divided into four stages: Firstly, prepare the data of building sitting lampshade. Secondly, study about technique of building symmetrical sitting lampshade. Thirdly, construct overall lampshade. The results of this research is procedures by contruction of sitting lampshade: First, The main axis split into three sub segments axis non-homogeneous. Second, build parts of the sitting lampshade (the base, the main part, the roof) by combining the components lampshade deformation results geometry objects. Third, fill each sub-segment of non-homogeneous parts with parts of the lampshade and build a boundary curve resulting lampshade varied models, innovation, and symmetry.Juhari JuhariErny Octafiatiningsih
Copyright (c) 2015 CAUCHY
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2015-11-152015-11-1541283410.18860/ca.v4i1.3171Penerapan Metode Angglomerative Hierarchical Clustering untuk Klasifikasi Kabupaten/Kota di Propinsi Jawa Timur Berdasarkan Kualitas Pelayanan Keluarga Berencana
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3172
Agglomerative hierarchical clustering methods is cluster analysis method whose primary purpose is to group objects based on its characteristics, it begins with the individual objects until the objects are fused into a single cluster. Agglomerative hierarchical clustering methods are divided into single linkage, complete linkage, average linkage, and ward. This research compared the four agglomerative hierarchical clustering methods in order to get the best cluster solution in the case of the classification of regencies/cities in East Java province based on the quality of “Keluarga Berencana” (KB) services. The results of this research showed that based on calculation of cophenetic correlation coefficient, the best cluster solution is produced by average linkage method. This method obtained four clusters with the different characteristics. Cluster 1 has an “extremely bad condition” on the qualification of KB clinics and the competence of KB service personnel. Cluster 2 has a “good condition” on the qualification of KB clinics and “bad condition” on the competence of KB service personnel. Cluster 3 has a “bad condition” on the qualification of KB clinics and “medium condition” on the competence of KB service personnel. Cluster 4 have a “medium condition” on the qualification of KB clinics and a “good condition” on the competence of KB service personnelAlfi FadlianaFachrur Rozi
Copyright (c) 2015 CAUCHY
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2015-11-152015-11-1541254010.18860/ca.v4i1.3172Solusi Persamaan keseimbangan Massa Reaktor Menggunakan Metode Pemisahan Variabel
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3173
Mass balance of reactor equation express the change of mass concentration of substances in and out of the closed system. This equation has inhomogeneous boundary conditions, that is the conditions at the time of its entry to the reactor and the conditions under which the substance out of the reactor. In this study, the mass concentration of substances produced after the reaction in the reactor is zero. In the inhomogeneous boundary conditions, using the method of separation of variables, there are obstacles to complete the equation. So we need to first transformation. Transformation is done with the aim to change the conditions which originally inhomogeneous boundary into a homogeneous boundary condition, so the method of separation of variables can be used to solve partial differential equations that have a homogeneous boundary conditions. The results obtained by the analysis, the faster a substance that spreads to the reactor, the less amount of mass concentration of substances that undergo a change; the greater the mass coefficient of substances that react in the reactor, the more the number of mass concentration of substances that are subject to changeMohammad Syaiful ArifMohammad Jamhuri
Copyright (c) 2015 CAUCHY
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2015-11-152015-11-1541414710.18860/ca.v4i1.3173Sistem Pendukung Keputusan Metode Sugeno dalam Menentukan Tingkat Kepribadian Siswa Berdasarkan Pendidikan
http://ejournal.uin-malang.ac.id/index.php/Math/article/view/3174
Sugeno method is one method of fuzzy inference system on fuzzy logic for decision making. In-Zero Order Sugeno method in fuzzy logic consists of four stages: 1. fuzzification. 2. The application functionality implications, the implication function used is function MIN (minimum). 3. The composition rule using the function MAX (maximum). 4. Defuzzification weight average. Based on case 1, each student with non-formal education and informal education by 12 by 19 has a value of 20.7 and a variable linguistic personality is MEDIUM. Suggestions for further research can use other parameters in determining the level of personality of students with fuzzy logicWildan HakimTurmudi Turmudi
Copyright (c) 2015 CAUCHY
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2015-11-012015-11-0141485610.18860/ca.v4i1.3174