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    Wyświetlanie 1-3 z 3
    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
    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
    Tytuł:
    Robust Optimization Model for Location Transportation Problems with Ellipsoidal Uncertainty Set
    Autorzy:
    Pribadi, Diantiny Mariam
    Chaerani, Diah
    Dewanto, Stanley P.
    Supian, Sudradjat
    Subiyanto, Subiyanto
    Powiązania:
    https://bibliotekanauki.pl/articles/1062875.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Ellipsoidal uncertainty set
    Location transportation problem
    Mixed integer linear problem
    Robust Counterpart
    Robust Optimization
    Uncertainty demand
    Opis:
    The location transportation problem is a combination of location, routing and inventory facilities. The problem of transportation locations consists of strategic decisions and operational decisions. Strategy decisions consist of location and facility capacity to meet demand, while operational decisions consist of final production and optimal distribution. However, sometimes there is uncertainty in demand, which influences operational decisions. Robust Optimization is a method for solving problems that are affected by uncertainty in data. This study aims to apply single-stage with an ellipsoid approach to the problem of transportation locations with uncertainty in demand. Robust optimization through the ellipsoidal uncertainty set approach provides costs for strategic and operational decisions that tend to remain for each production period. As for the optimization model, the influence of uncertainty in demand can affect the uncertainty of strategic and operational costs.
    Źródło:
    World Scientific News; 2019, 127, 3; 296-310
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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