Handoko, Jalu (2014) Analisis Pengelompokan Negara-Negara Importir Produk Indonesia Berdasarkan Faktor Barang. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Dunia industri merupakan salah satu penyumbang pendapatan terbesar Negara Republik Indonesia. Ekspor merupakan salah satu cara bagi negara untuk meningkatkan pendapatannya. Ekspor hasil industri menjadi salah satu penyumbang pendapatan negara terbesar disamping ekspor mineral tambang. Negara importir yang terkait dengan Indonesia total berjumlah ratusan, hal ini tentu memerlukan klasifikasi yang baik agar strategi ekonomi dan peraturan pemerintah lebih akurat dalam memaksimalkan keuntungan ekonomi negara dari sektor ekspor industri. Analisis biplot, cluster dan diskriminan merupakan salah satu metode klasifikasi yang baik dan sederhana dalam melakukan klasifikasi secara tepat. Analisis biplot dan cluster bertujuan untuk melakukan pengelompokkan awal secara visual untuk kemudian dilakukan analisis diskriminan untuk melihat ketepatan klasifikasi yang dihasilkan. Hasil dari kedua analisis menunjukkan bahwa dari 4 kelompok benua yang dilakukan proses klasifikasi menunjukkan bahwa 3 kelompok benua yaitu Benua Asia, Benua Amerika, dan Benua Afrika telah menunjukkan ketepatan klasifikasi 100% dan hanya 1 kelompok benua yang memiliki ketepatan dibawah 100% yaitu Benua Eropa dengan 92%. =========== The industrialized world is one of the largest revenue contributor of Indonesia . Export is one way to increase revenue for the state . Exports of industrial products become one of the country 's largest revenue contributor in addition to the export of minerals. Importers State that associated with Indonesian total number are in hundreds, this is certainly need a good classification that the government's economic strategy and regulations in the country are more accurate to maximize the economic benefits of the industry 's export sector . Biplot, cluster, and discriminant analysis is one of good and simple classification method to classify appropriately . Analysis biplot and cluster aims to conduct initial grouping visually for discriminant analysis is then performed to see the accuracy of the classification result . The results of both analyzes showed that the group of four continents who performed the classification showed that the three groups of the continent which is Asia, America, and Africa have demonstrated a classification accuracy of 100% and only 1 group continent which has an accuracy below 100% which is Europe Continent with 92% accuracy . It is concluded that the classification accuracy has been pretty good appear . However, if the desired accuracy of classification can be done better with all variable of import included in the anlysis.
| Item Type: | Thesis (Undergraduate) |
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| Additional Information: | RSSt 519.535 Han a |
| Uncontrolled Keywords: | Importir Indonesia; analisis biplot; analisis diskriminan; MANOVA, Import Industry, Biplot Analysis, Discriminant Analysis |
| Subjects: | Q Science > QA Mathematics > QA278.55 Cluster analysis |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | - Davi Wah |
| Date Deposited: | 04 Jul 2019 06:03 |
| Last Modified: | 04 Jul 2019 06:03 |
| URI: | https://repository.its.ac.id/id/eprint/63321 |
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