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) |
|---|---|
| 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: | http://repository.its.ac.id/id/eprint/63321 |
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