Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal International Journal of Engineering and Emerging Technology
Philipus Novenando Mamang Weking
Department of Electrical and Computer Engineering, Post Graduate Program, Udayana University
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Data Center Data Warehouse Development at Z Bali Clinic Using the Kimball Nine-Step Method I Gusti Ngurah Wira Partha; Philipus Novenando Mamang Weking; Putu Arya Mertasana
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Z Bali Clinic has implemented a clinical information system as an operational system. However, the system applied is only limited to carrying out registration and payment functions. Over time, the number of patients from the Z Bali Clinic is increasing and causes more and more complex patient visit data to be managed. The data is managed to be used in making reports. However, the process of making the report is still done through manual calculations, causing it to become an obstacle in the data processing and reporting process. In this study, the process of developing a Data center data warehouse at Z Bali Clinic Using the Kimball Nine-Step Method, where the data warehouse can be used as a center for processing and analyzing outpatient visit data, and to produce reports that can facilitate the executive in analyzing data on outpatient visits as consideration in making decisions at the Z Bali Clinic.
Application of Data Mining with Support Vector Machine (SVM) in Selling Prediction Trend of Spiritual Goods (Case Study: PT. X Bali) Philipus Novenando Mamang Weking; I Gusti Ngurah Wira Partha; Antonius Ibi Weking
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

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Spiritual activities become an inseparable part of human life. To support these spiritual activities, the need for spiritual equipment that supports the process of running a spiritual activity. PT. X Bali is a company that runs the business of selling spiritual goods. The tight competition and economic factors faced make PT. X Bali wants to predict the sale of goods so that they can see whether the sale of spiritual goods is up or down in order to increase the efficiency. The prediction process can be done with data mining technique using the Support Vector Machine (SVM) method. Data that used for prediction is based on stock data and data on goods sold from the total sales results of the last two years. Based on the results of SVM calculations, the level of prediction accuracy results reached 62.5% and the need for spiritual goods in the following year will be predicted to decline
Co-Authors Antonius Ibi Weking I Gusti Ngurah Wira Partha Putu Arya Mertasana