Indikator untuk memprediksi nasabah bermasalah dengan pendekatan model Logit: Studi kasus pada unit usaha syariah bank X
| Main Authors: | Dadang Rohandi, author, Add author: Firman Djunasien, supervisor, Add author: Hardius Usman, examiner |
|---|---|
| Format: | Masters Bachelors |
| Terbitan: |
, 2007
|
| Subjects: | |
| Online Access: |
http://lontar.ui.ac.id/detail?id=110075 |
| ctrlnum |
110075 |
|---|---|
| fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><type>Thesis:Masters</type><title>Indikator untuk memprediksi nasabah bermasalah dengan pendekatan model Logit: Studi kasus pada unit usaha syariah bank X</title><creator>Dadang Rohandi, author</creator><creator>Add author: Firman Djunasien, supervisor</creator><creator>Add author: Hardius Usman, examiner</creator><publisher/><date>2007</date><subject>Banks and banking -- Risk management</subject><description><b>ABSTRAK</b><br>
Tujuan tesis ini adalah untuk mendapatkan indikator awal dalam memprediksi nasabah pembiayaan konsumsi bermasalah pada Unit Syariah Bank X, dengan pendekatan model logit.
Penelitian menggunakan 906 sampel nasabah Unit Syariah Bank X dengan kondisi dimana 84 nasabah masuk dalam kategori nasabah bermasalah dan 822 nasabah dalam kategori nasabah tidak bermasalah. Dengan pendekatan model logit diperoleh variabel yang secara signifikan dapat dijadikan indikator awal dalam mendeteksi nasabah pembiayaan konsumsi pada Unit Syariah Bank X akan bermasalah yaitu variabel usia, variabel jumlah tanggungan, variabel kategori perusahaan, variabel kekayaan dan variabel penghasilan.
Ditinjau dari ketepatan klasifikasi pendekatan dengan menggunakan model logit memberikan ketepatan klasifikasi 97.10%.
<hr><i><b>ABSTRACT</b><br>
The objective of this thesis is to obtain initial indicators in predicting non-performing debtors in financing in Sharia' Unit of Bank X using the logit analysis approach.
There are 906 costumers of Sharia' Unit of Bank X who were taken as samples in this research, out of which 84 were categorized as non-performing debtors and the remaining 822 were considered as performing debtors. The use of logit analysis has resulted in acquiring significant variables, which can be identified as initial indicators to predict non-performing debtor in financing in Sharia' Unit of Bank X. These are age, number of dependants, company category, asset and earning variables.
In term of classification accuracy, the logit analysis approach can provide up to 97,10% exactitude.</i></description><identifier>http://lontar.ui.ac.id/detail?id=110075</identifier><recordID>110075</recordID></dc>
|
| format |
Thesis:Masters Thesis Thesis:Bachelors |
| author |
Dadang Rohandi, author Add author: Firman Djunasien, supervisor Add author: Hardius Usman, examiner |
| title |
Indikator untuk memprediksi nasabah bermasalah dengan pendekatan model Logit: Studi kasus pada unit usaha syariah bank X |
| publishDate |
2007 |
| topic |
Banks and banking -- Risk management |
| url |
http://lontar.ui.ac.id/detail?id=110075 |
| contents |
<b>ABSTRAK</b><br>
Tujuan tesis ini adalah untuk mendapatkan indikator awal dalam memprediksi nasabah pembiayaan konsumsi bermasalah pada Unit Syariah Bank X, dengan pendekatan model logit.
Penelitian menggunakan 906 sampel nasabah Unit Syariah Bank X dengan kondisi dimana 84 nasabah masuk dalam kategori nasabah bermasalah dan 822 nasabah dalam kategori nasabah tidak bermasalah. Dengan pendekatan model logit diperoleh variabel yang secara signifikan dapat dijadikan indikator awal dalam mendeteksi nasabah pembiayaan konsumsi pada Unit Syariah Bank X akan bermasalah yaitu variabel usia, variabel jumlah tanggungan, variabel kategori perusahaan, variabel kekayaan dan variabel penghasilan.
Ditinjau dari ketepatan klasifikasi pendekatan dengan menggunakan model logit memberikan ketepatan klasifikasi 97.10%.
<hr><i><b>ABSTRACT</b><br>
The objective of this thesis is to obtain initial indicators in predicting non-performing debtors in financing in Sharia' Unit of Bank X using the logit analysis approach.
There are 906 costumers of Sharia' Unit of Bank X who were taken as samples in this research, out of which 84 were categorized as non-performing debtors and the remaining 822 were considered as performing debtors. The use of logit analysis has resulted in acquiring significant variables, which can be identified as initial indicators to predict non-performing debtor in financing in Sharia' Unit of Bank X. These are age, number of dependants, company category, asset and earning variables.
In term of classification accuracy, the logit analysis approach can provide up to 97,10% exactitude.</i> |
| id |
IOS18064.110075 |
| institution |
Universitas Indonesia |
| institution_id |
51 |
| institution_type |
library:university library |
| library |
Perpustakaan Universitas Indonesia |
| library_id |
492 |
| collection |
Repository Skripsi (open) Universitas Indonesia |
| repository_id |
18064 |
| city |
KOTA DEPOK |
| province |
JAWA BARAT |
| repoId |
IOS18064 |
| first_indexed |
2022-12-13T09:12:25Z |
| last_indexed |
2022-12-13T09:12:25Z |
| recordtype |
dc |
| merged_child_boolean |
1 |
| _version_ |
1752203517817257984 |
| score |
17.203505 |