Sitompul, Sophie Theodore (2026) Pengelompokan Tingkat Kesehatan Keuangan Bank BUMN Menggunakan K-Means Clustering dan Quadratic Discriminant Analysis -Submit Jurnal. Bachelor thesis, Institut Teknologi Kalimantan.
|
Text
17221020_cover.pdf Restricted to Repository staff only until 3 October 2028. Download (282kB) | Request a copy |
|
|
Text
17221020_statement_of_authenticity.pdf Restricted to Repository staff only until 3 October 2028. Download (234kB) | Request a copy |
|
|
Text
17221020_publishing_agreement.pdf Restricted to Repository staff only until 3 October 2028. Download (238kB) | Request a copy |
|
|
Text
17221020_approval_sheet.pdf Restricted to Repository staff only until 3 October 2028. Download (44kB) | Request a copy |
|
|
Text
17221020_preface.pdf Restricted to Repository staff only until 3 October 2028. Download (265kB) | Request a copy |
|
|
Text
17221020_abstract_id.pdf Restricted to Repository staff only until 3 October 2028. Download (301kB) | Request a copy |
|
|
Text
17221020_abstract_en.pdf Restricted to Repository staff only until 3 October 2028. Download (254kB) | Request a copy |
|
|
Text
17221020_table_of_content.pdf Restricted to Repository staff only until 3 October 2028. Download (292kB) | Request a copy |
|
|
Text
17221020_illustrations.pdf Restricted to Repository staff only until 3 October 2028. Download (279kB) | Request a copy |
|
|
Text
17221020_tables.pdf Restricted to Repository staff only until 3 October 2028. Download (281kB) | Request a copy |
|
|
Text
17221020_notations.pdf Restricted to Repository staff only until 3 October 2028. Download (318kB) | Request a copy |
|
|
Text
17221020_chapter_1.pdf Restricted to Repository staff only until 3 October 2028. Download (424kB) | Request a copy |
|
|
Text
17221020_chapter_2.pdf Restricted to Repository staff only until 3 October 2028. Download (509kB) | Request a copy |
|
|
Text
17221020_chapter_3.pdf Restricted to Repository staff only until 3 October 2028. Download (410kB) | Request a copy |
|
|
Text
17221020_chapter_4.pdf Restricted to Repository staff only until 3 October 2028. Download (606kB) | Request a copy |
|
|
Text
17221020_conclusions.pdf Restricted to Repository staff only until 3 October 2028. Download (271kB) | Request a copy |
|
|
Text
17221020_bibliography.pdf Restricted to Repository staff only until 3 October 2028. Download (269kB) | Request a copy |
|
|
Text
17221020_enclosure.pdf Restricted to Repository staff only until 3 October 2028. Download (269kB) | Request a copy |
|
|
Text
17221020_paper.pdf Restricted to Repository staff only until 3 October 2028. Download (693kB) | Request a copy |
|
|
Text
17221020_presentation.pdf Restricted to Repository staff only until 3 October 2028. Download (1MB) | Request a copy |
|
|
Text
17221020_Form. TA-020.pdf Restricted to Repository staff only until 3 October 2028. Download (163kB) | Request a copy |
Abstract
Kesehatan keuangan bank merupakan aspek penting dalam menjaga stabilitas dan keberlanjutan sektor perbankan. Penelitian ini bertujuan untuk mengelompokkan tingkat kesehatan keuangan Bank Badan Usaha Milik Negara (BUMN) menggunakan metode K-Means Clustering dan mengklasifikasikan hasil pengelompokan menggunakan Quadratic Discriminant Analysis (QDA). Data yang digunakan berupa laporan keuangan triwulan lima Bank BUMN periode 2020 - 2025 dengan variabel Cash Ratio, Return on Assets (ROA), Return on Equity (ROE), Loan to Deposit Ratio (LDR), Non-Performing Loan (NPL),Biaya Operasional terhadap Pendapatan Operasional (BOPO), dan Debt to Equity Ratio (DER). Tahapan penelitian meliputi preprocessing data, standarisasi menggunakan metode Z-Score, K-Means Clustering, pengujian asumsi analisis diskriminan, Stepwise Discriminant Analysis, pembentukan model QDA, serta evaluasi model menggunakan confusion matrix. Hasil penelitian menunjukkan bahwa jumlah cluster optimal yang terbentuk adalah tiga cluster. Variabel DER, NPL, ROA, Cash Ratio, dan BOPO terbukti signifikan dalam membedakan antar cluster. Model QDA menggunakan seluruh variabel menghasilkan akurasi sebesar 94,167%, sedangkan model QDA menggunakan variabel hasil Stepwise Discriminant Analysis menghasilkan akurasi sebesar 91,667%. Hasil tersebut menunjukkan bahwa model QDA yang menggunakan seluruh variabel penelitian memberikan kinerja klasifikasi yang lebih baik dibandingkan model QDA yang menggunakan variabel hasil Stepwise Discriminant Analysis.
| Item Type: | Thesis (Bachelor) |
|---|---|
| Subjects: | H Social Sciences > HG Finance |
| Divisions: | Jurusan Matematika dan Teknologi Informasi > Ilmu Aktuaria |
| Depositing User: | Sophie Theodore Sitompul |
| Date Deposited: | 14 Jul 2026 05:59 |
| Last Modified: | 14 Jul 2026 05:59 |
| URI: | http://repository.itk.ac.id/id/eprint/26684 |
Actions (login required)
![]() |
View Item |
