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All Journal International Journal of Engineering and Emerging Technology
I Gusti Ngurah Agung Surya Mahendra
Department of Electrical and Computer Engineering, Post Graduate Program, Udayana University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

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Classification of Data Mining with Adaboost Method in Determining Credit Providing for Customers I Gusti Ngurah Agung Surya Mahendra; Ida Bagus Leo Mahadya Suta; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 4 No 1 (2019): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Credit is the provision of funds for lending and borrowing transactions with the agreement and agreement between the bank or financial institution and its customers, and requires the borrower to pay the debt within a certain period of time and provide services. Crediting is done by identifying and assessing factors that influence credit risk. The loss of income and the threat of profitability are things that need to be wary of lending. Data mining classification can be used to help credit analysts in determining lending to customers. The classification process is carried out to obtain determinant attributes. The results of the classification process are evaluated using the adaboost method and testing using weka to obtain cross validation, confusion matrix to determine the most accurate classification in determining credit for cooperative customers
Design General Hospital Data Warehouse Base on Nine Step Methodology Ida Bagus Leo Mahadya Suta; I Gusti Ngurah Agung Surya Mahendra; Yanu Prapto Sudarmojo
International Journal of Engineering and Emerging Technology Vol 4 No 1 (2019): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Data warehouse is a method used to hold and analyze data in large number. The analysis can be viewed from several different dimensions or points of view. The application of data warehouse technology can overcome the problems and needs of executive at Genral Hospital in conducting analysis of large amounts of patient data, especially data inpatient and outpatient care. The data warehouse design method is done by applying 9 step (Nine-Step Methodology) used by Kimball. The 9 stages are the selection process, selection, grain, identification and adjustment, fact selection, pre-calculation storage in the fact table, ensure dimension tables, select database durations, track changes from dimensions slowly, determination of priority and query model. The results of this study are in the form of schema design and data simulation warehouse by displaying inpatient and outpatient data based on time dimensions, patients reference, diagnosis, patient status, room, type of patient, condition of return, and district in the form of a table and graph
Co-Authors Ida Bagus Leo Mahadya Suta Made Sudarma Yanu Prapto Sudarmojo