A.A Ngurah Narendra
Department of Electrical and Computer Engineering, Post Graduate Program, Udayana University

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

Found 2 Documents
Search

Design of E-Grant Application Data Warehouse A.A Ngurah Narendra; Santi Ika Murpratiwi; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 2 No 1 (2017): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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

Abstract

Grants is a program launched by the government as a means to develop the potential of the region or contribute to society in the form of money or objects In submitting as Grant there are many sources of data stored in the system e -Grant, The amount of the proposal Grant is very much in each period so as to be reorganized, One solution for the storage of e-submission of the Grant is to build a data warehouse, Due to the technological development of data warehouse will be able to support the creation of a single access door managerial parties in obtaining information in the data warehouse, The design of the data warehouse were calculated using a four step Kimball, Methods Kimball 4 step has the advantages of a more compact, dynamic, and supports the creation of a data warehouse that is structured output of the data warehouse to the e-Grant in the form of Reports Grant and a recapitulation of Grant where reports Grant is being used as an attachment to a defense in response to the report Expenditure Provincial Bali whereas Summary of Grants used for List SKPD to evaluate the Grant recipient.
Mapping Patterns Achievement Based on CRISP-DM and Self Organizing Maps (SOM) Methods Santi Ika Murpratiwi; A.A Ngurah Narendra; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 2 No 1 (2017): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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

Abstract

Successful of regional development is a reflection of the good government policy. Many programs created by the local government every period but many programs stop without results. Therefore, we need to evaluation its government programs. Evaluation of government programs must do to prevent the failure of the programs. One way to evaluate the government programs is to collect the support data to see the data model and analyzed the data. In this research will conduct an evaluation on the achievement of RPJMD performance of Bali Province by using data mining. The process of data mining used the CRISP-DM method and Self Organizing Maps (SOM) for mapping the achievement patterns. The used data is RPJMD data in the 2013-2018 period. but the data used for data mining process only 3 years data that is 2014-2016 as a middle evaluation. That data clustered into five clusters. The final result of this research are 78% of assessment indicators in the RPJMD program are inconsistent position and 22% are in an inconsistent position. Moreover, there are 84 assessment indicators that have no reached the target. From that results of data, assessment mapping can use as the guidance of Bali Province to catch up the achievement of RPJMD programs and prepare the next strategies to support the success of the RPJMD program during the RPJMD period.