Autor: Purwani, Sri - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Spatial-Temporal Analysis of Rainfall West Java Indonesia Using Empirical Orthogonal Function based on Singular Value Decomposition
Autorzy:: Pribadi, Diantiny Mariam
Sumiati, Ira
Purwani, Sri
Powiązania:: https://bibliotekanauki.pl/articles/1031922.pdf
Data publikacji:: 2020
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:: Empirical Orthogonal Function
Rainfall
Singular Value Decomposition
Spatial-Temporal
Opis:: Rainfall is one of the climate variables that have a significant influence, especially in supporting the activities of various sectors in tropical countries. Climate change is causing rainfall variability in Indonesia. However, the analysis of climate variable patterns is difficult because of the formation of a large matrix. Empirical Orthogonal Function (EOF) analysis can be used to reduce the dimensions of large data by maintaining as much variation as possible from the original data set. The method used in this study is through the Singular Value Decomposition (SVD) approach. The analysis shows that 98.50% of the total rainfall variance can be represented by four EOF modes. Analysis of the spatial pattern of EOF1 shows that rainfall is below average, while the other EOF modes show variations in rainfall.
Źródło:: World Scientific News; 2020, 140; 113-126
2392-2192
Pojawia się w:: World Scientific News
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Parameter Estimation Using LU Decomposition in the Logistic Regression Model for Credit Scoring Analysis
Autorzy:: Rahmani, Ulfa
Pribadi, Diantiny Mariam
Purwani, Sri
Powiązania:: https://bibliotekanauki.pl/articles/1031893.pdf
Data publikacji:: 2020
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Tematy:: Credit Scoring
LU Decomposition
Logistic Regression
Problem Loans
Opis:: Banking is a financial institution that has a very important role in economic and trade activities which is useful for channeling funds in the form of loans to the public who need fresh funds for business in the hope of helping to improve the people's economy. In the loan process, banks are often exposed to risks known as credit risk or non-performing loans. Therefore, a credit analysis is performed by estimating the parameters using LU Decomposition in the Logistic Regression model. In this paper, the data used are data about cooperative financial services in Indonesia. Variables taken in the study are including the age of debtors (X1), family dependents (X2), the amount of savings (X3), the value of collateral (X4), the amount of income per month (X5), given the credit limit (X6), take home pay (X7), and the loan term (X8).
Źródło:: World Scientific News; 2020, 140; 1-11
2392-2192
Pojawia się w:: World Scientific News
Dostawca treści:: Biblioteka Nauki

Artykuł

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