cover
Contact Name
Komang Oka Saputra
Contact Email
okasaputra@unud.ac.id
Phone
+628123660060
Journal Mail Official
ijeet@unud.ac.id
Editorial Address
Program Studi Doktor Ilmu Teknik, Fakultas Teknik, Universitas Udayana Gedung Pasca Sarjana Universitas Udayana Jl. PB Sudirman
Location
Kota denpasar,
Bali
INDONESIA
International Journal of Engineering and Emerging Technology
Published by Universitas Udayana
International Journal of Engineering and Emerging Technology is the biannual official publication of the Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University. The journal is open to submission from scholars and experts in the wide areas of engineering, such as civil and construction, mechanical, architecture, electrical, electronic, and computer engineering, and information technology as well. The scope of these areas may encompass: (1) theory, methodology, practice, and applications; (2) analysis, design, development and evaluation; and (3) scientific and technical support to establishment of technical standards.
Articles 16 Documents
Search results for , issue "Vol 3 No 1 (2018): January - June" : 16 Documents clear
Data Mining, Evaluation, K-means Evaluation of Supporting Work Quality Using K-Means Algorithm I Made Dwi Ardiada; Made Pasek Agus Ariawan; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

One of the factors that to improve the performance productivity of an organization or agency is Human Resources. During this time many government agencies that do not have employees with adequate competence, this is evidenced by the low productivity of employees and the difficulty of measuring employee performance in the scope of government agencies. This research discusses the application of K-means Clustering conducted at Udayana University, especially on annual performance data for contract workers. this study aims to classify cluster clusters that are determined to facilitate the evaluate quality of work of contract workers. This research uses data used as many as 1613 data. And done preprocessing get 544 data. In preprocessing data, K-means Clustering method is performed. In K-means Clustering determined the number of K as much as 5 Cluster. To determine Data Cluster used Ecludian Distance calculation. From the results of K-means Clustering Applying it takes 10 iterations. From 5 clusters conducted on 544 data there are clusters 0 as much as 38, Cluster 1 as much as 473, Cluster 2 as much as 130, Cluster 3 as much as 26 and from cluster 4 as many as 3. From the results of K-means Clustering implementation is used as a supporter of Quality Evaluation Work.
Analysis and Design of Data Warehouse at Bank M Agus Anwar; Danan Pradipta; Sri Aryani
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Banking has a very strategic role in supporting therunning of the economy and national development considering itsfunction as an intermediary institution, payment transactionorganizer, and monetary policy transmission tool. The bankingindustry, data warehouse is something that is very importantexistence, because with this data warehouse, performanceanalysis of a bank will be much easier to do. The HOLAP methodof data warehouse banking processing can present the desiredinformation quickly. With the support of data warehouses,corporate leaders can be more helpful in making decisions fasterand more precise.
Implementation of EM Algorithm in Data Mining for Clustering Female Cooperative Putu Angelina Widya; Made Sudarma
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Cooperatives have a key role for women by providing access to generating income activities. Women have access to general production resources like credit, land, marketing facilities, infrastructure, equipment, and technology. All of that resources can increase their income. By shaping themselves into cooperatives, they can get benefit from economies scale and increase their access to the labor market. Cooperatives can be the best instruments to improve women’s welfare and for the development of transformations such as more open minded by using the most profitable female cooperatives. As one of the existing regencies in Bali Province, Gianyar regency has rapid development of female cooperative. In this research will clustering female cooperative by using WEKA application with Expectation-Maximization Algorithm. From the result, government can maintance which female cooperation should be put on watchlist.
The Design Of Garment Enterprise Data Warehouse Using The TOGAF Framework Ni Putu Sri Merta Suryani; Putu Bagus Indra Sukadiana Putra; Komang Oka Saputra
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Garment company is a company that is recyclingfabric into apparel. Processing through several phases i.e. Setupprocess materials, production planning to produce a product. Inthe garment companyhas units that administered by the manager.The unit i.e. warehouses, production, marketing, human resourcesand finance. As time goes by, followed by information technologywhich is increasingly growing, the company needs a system ofinformation that is in tune with the business processes of thecompany. For it takes a data warehouse technology, so need tobuilt an integrated information system between units. EnterpriseArchitecture is the method used in building an enterprisearchitecture. One of the frameworks used in building aninformation system is TOGAF. TOGAF is used as a step inestablishing a system of information in the future can support thebusiness activities of the company.
Design of Intermediate Medical Record Information System in Electricity Patient Using Rolap Warehouse Data Made Dinda Pradnya Pramita; Gde Brahupadhya Subiksa; Komang Oka Saputra
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Along with the development of information and communication technology (ICT), which has become a major influence for change in all sectors, including health, especially in medical records is called electronic medical record. Basically an electronic medical record is the use of electronic methods to collect, store, process, and access patient records in hospitals that have been stored in a multimedia database management system, bringing together various medical data sources. Often the problem arises there is no relationship between the respective health care providers in terms of information on the medical record. Although the patient may have a medical examination at a health care provider vary at a certain time. This leads to the same inspection occurring repeatedly. Whereas previous medical records are very useful in further medical examination. Of the several problems mentioned above have designed a centralized electronic medical record system that accommodates patient medical records in a centralized database for the purpose of patient records stored in a single database storage. So if one day the patient is registered in the system, if referred from one hospital to another hospital in the area, data can be viewed and accessed based on data from the hospital or health care provider who has joined in this system. With this system helps reduce the possibility of misdiagnosis. Keywords: Centralized Medical Record, Data Warehouse and ROLAP
Analysis of Apriori Algorithm on Sales Transactions to Arrange Placement of Goods on Minimarket Putu Bagus Indra Sukadiana Putra; Ni Putu Sri Merta Suryani; Sri Aryani
International Journal of Engineering and Emerging Technology Vol 3 No 1 (2018): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

In the business world, business development is a veryimportant factor to be reckoned with. This is done in order toalways survive in the competitive world of business. Improvingproduct quality, adding product types and reducing the company'soperating costs are some things that can be done in order tosurvive in the competition. The thing that can be done to meetthose needs is to perform sales transaction data analysis usingData Mining. One of the Algorithms that belongs to an associationin Data Mining that matches is the Apriori Algorithm. A priorialgorithm aims to find frequent item sets in a set of data. A priorialgorithm defined a process to find a priori rules that meetminimum requirements for support and minimum requirementsfor confidence. This research seeks to develop a business strategyof placement of groceries that is adjusted to the consumerconsumption pattern in minimarket. Thus, the arrangement ofmerchandise can be adjusted with the rules of association to fit thepattern of consumer consumption.

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