{"id":73,"date":"2017-07-08T16:11:42","date_gmt":"2017-07-08T16:11:42","guid":{"rendered":"http:\/\/www.doarj.org\/ijhrss\/?p=73"},"modified":"2018-01-01T12:41:45","modified_gmt":"2018-01-01T12:41:45","slug":"comparison-of-logistic-regression-model-and-mars-classification-results-on-binary-response-for-teknisi-ahli-bbplk-serang-training-graduates-status","status":"publish","type":"post","link":"https:\/\/www.tdoarj.org\/ijhrss\/comparison-of-logistic-regression-model-and-mars-classification-results-on-binary-response-for-teknisi-ahli-bbplk-serang-training-graduates-status\/","title":{"rendered":"Comparison of Logistic Regression Model and Mars Classification Results on Binary Response for Teknisi Ahli BBPLK Serang Training Graduates Status"},"content":{"rendered":"<div id=\"articleTitle\">\n<p><strong>Prima Adityawardani<\/strong><strong>, Ni Wayan Surya Wardhani<\/strong><strong>, and Maria Bernadetha Theresia Mitakda<\/strong><\/p>\n<\/div>\n<p><strong>Abstract<\/strong><\/p>\n<div id=\"articleAbstract\">\n<p style=\"text-align: justify;\">Logistic regression and Multivariate Adaptive Regression Splines (MARS) can be used as analytical methods for non-linear data with binary response variable. Both of these analyzes can be used for object classification. The existence of multicollinearity is not allowed in logistic regression and MARS, since it causes a large variance tend to logistic regression and improper placement of knots on MARS so that the resulting model is not accurate. Principal Component Analysis (PCA) is used to fixed the multicollinearity and PCA for a combination of discrete and continuous variables called PCAMIX. The new variables formed from PCAMIX are not correlated so that they can be used in the classification of observations based on logistic regression and MARS model. Classification accuracy testing uses accuracy, Noise Signal Ratio (NSR) and similarity testing of two proportions. The results of the analysis shows that the factors that affect the Teknisi Ahli BBPLK Serang Training graduates status who directly work in industry is the factor of intelligence and physiological. In addition, the classification test indicates that there is no difference of classification accuracy generated logistic regression and MARS.<\/p>\n<\/div>\n<div id=\"articleAbstract\">\n<p><strong>Keywords:<\/strong>logistic regression, MARS, multicollinearity, PCAMIX, classification<\/p>\n<p>Full Text:\u00a0<a class=\"file\" href=\"https:\/\/www.tdoarj.org\/ijhrss\/wp-content\/uploads\/sites\/5\/2017\/07\/F011029.pdf\">PDF<\/a><\/p>\n\n<div class=\"gde-error\">GDE Error: Error retrieving file - if necessary turn off error checking (404:Not Found)<\/div>\n\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Prima Adityawardani, Ni Wayan Surya Wardhani, and Maria Bernadetha Theresia Mitakda Abstract Logistic regression and Multivariate Adaptive Regression Splines (MARS) can be used as analytical methods for non-linear data with binary response variable. Both of these analyzes can be used for object classification. The existence of multicollinearity is not allowed in logistic regression and MARS, [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[],"_links":{"self":[{"href":"https:\/\/www.tdoarj.org\/ijhrss\/wp-json\/wp\/v2\/posts\/73"}],"collection":[{"href":"https:\/\/www.tdoarj.org\/ijhrss\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.tdoarj.org\/ijhrss\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.tdoarj.org\/ijhrss\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.tdoarj.org\/ijhrss\/wp-json\/wp\/v2\/comments?post=73"}],"version-history":[{"count":4,"href":"https:\/\/www.tdoarj.org\/ijhrss\/wp-json\/wp\/v2\/posts\/73\/revisions"}],"predecessor-version":[{"id":99,"href":"https:\/\/www.tdoarj.org\/ijhrss\/wp-json\/wp\/v2\/posts\/73\/revisions\/99"}],"wp:attachment":[{"href":"https:\/\/www.tdoarj.org\/ijhrss\/wp-json\/wp\/v2\/media?parent=73"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.tdoarj.org\/ijhrss\/wp-json\/wp\/v2\/categories?post=73"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.tdoarj.org\/ijhrss\/wp-json\/wp\/v2\/tags?post=73"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}