METODE QUEST DAN CHAID PADA KLASIFIKASI KARAKTERISTIK NASABAH KREDIT
<p><em>This aim of this research is to find out the classification results and to compare the magnitude of misclassification of QUEST and CHAID methods on the classification of customer of Adira Kredit Elektronik branch Denpasar. QUEST (Quick, Unbiased, Efficient Statistical Trees) and C...
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| Format: | Article |
| Language: | English |
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Universitas Udayana
2015-11-01
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| Series: | E-Jurnal Matematika |
| Subjects: | |
| Online Access: | http://ojs.unud.ac.id/index.php/mtk/article/view/16626 |
| _version_ | 1818139143274758144 |
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| author | NUR FAIZA I WAYAN SUMARJAYA I GUSTI AYU MADE SRINADI |
| author_facet | NUR FAIZA I WAYAN SUMARJAYA I GUSTI AYU MADE SRINADI |
| author_sort | NUR FAIZA |
| collection | DOAJ |
| description | <p><em>This aim of this research is to find out the classification results and to compare the magnitude of misclassification of QUEST and CHAID methods on the classification of customer of Adira Kredit Elektronik branch Denpasar. QUEST (Quick, Unbiased, Efficient Statistical Trees) and CHAID (Chi-squared Automatic Interaction Detection</em><em>) </em><em>are nonparametric methods that produce tree diagram which is easy to interpret. The QUEST and CHAID classification methods conclude that: 1) QUEST method produces three groups which predict customers into the current category, whereas CHAID method produces four groups which also predict customer into the current category; 2) both methods generate the biggest classification accuracy for customers that current category which share similar characteristics; 3) both methods also have the same degree of accuracy in classifying customer data Adira Kredit Elektronik branch Denpasar. </em></p> |
| first_indexed | 2024-12-11T10:23:24Z |
| format | Article |
| id | doaj.art-7fc0c9ea8ee14d7ead546352e6a23db1 |
| institution | Directory Open Access Journal |
| issn | 2303-1751 |
| language | English |
| last_indexed | 2024-12-11T10:23:24Z |
| publishDate | 2015-11-01 |
| publisher | Universitas Udayana |
| record_format | Article |
| series | E-Jurnal Matematika |
| spelling | doaj.art-7fc0c9ea8ee14d7ead546352e6a23db12022-12-22T01:11:18ZengUniversitas UdayanaE-Jurnal Matematika2303-17512015-11-014416316811691METODE QUEST DAN CHAID PADA KLASIFIKASI KARAKTERISTIK NASABAH KREDITNUR FAIZA0I WAYAN SUMARJAYA1I GUSTI AYU MADE SRINADI2Faculty of Mathematics and Natural Sciences, Udayana UniversityFaculty of Mathematics and Natural Sciences, Udayana UniversityFaculty of Mathematics and Natural Sciences, Udayana University<p><em>This aim of this research is to find out the classification results and to compare the magnitude of misclassification of QUEST and CHAID methods on the classification of customer of Adira Kredit Elektronik branch Denpasar. QUEST (Quick, Unbiased, Efficient Statistical Trees) and CHAID (Chi-squared Automatic Interaction Detection</em><em>) </em><em>are nonparametric methods that produce tree diagram which is easy to interpret. The QUEST and CHAID classification methods conclude that: 1) QUEST method produces three groups which predict customers into the current category, whereas CHAID method produces four groups which also predict customer into the current category; 2) both methods generate the biggest classification accuracy for customers that current category which share similar characteristics; 3) both methods also have the same degree of accuracy in classifying customer data Adira Kredit Elektronik branch Denpasar. </em></p>http://ojs.unud.ac.id/index.php/mtk/article/view/16626ClassificationQUESTCHAIDcustomer credit status |
| spellingShingle | NUR FAIZA I WAYAN SUMARJAYA I GUSTI AYU MADE SRINADI METODE QUEST DAN CHAID PADA KLASIFIKASI KARAKTERISTIK NASABAH KREDIT E-Jurnal Matematika Classification QUEST CHAID customer credit status |
| title | METODE QUEST DAN CHAID PADA KLASIFIKASI KARAKTERISTIK NASABAH KREDIT |
| title_full | METODE QUEST DAN CHAID PADA KLASIFIKASI KARAKTERISTIK NASABAH KREDIT |
| title_fullStr | METODE QUEST DAN CHAID PADA KLASIFIKASI KARAKTERISTIK NASABAH KREDIT |
| title_full_unstemmed | METODE QUEST DAN CHAID PADA KLASIFIKASI KARAKTERISTIK NASABAH KREDIT |
| title_short | METODE QUEST DAN CHAID PADA KLASIFIKASI KARAKTERISTIK NASABAH KREDIT |
| title_sort | metode quest dan chaid pada klasifikasi karakteristik nasabah kredit |
| topic | Classification QUEST CHAID customer credit status |
| url | http://ojs.unud.ac.id/index.php/mtk/article/view/16626 |
| work_keys_str_mv | AT nurfaiza metodequestdanchaidpadaklasifikasikarakteristiknasabahkredit AT iwayansumarjaya metodequestdanchaidpadaklasifikasikarakteristiknasabahkredit AT igustiayumadesrinadi metodequestdanchaidpadaklasifikasikarakteristiknasabahkredit |