cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
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
ISSN : 25795988     EISSN : 2579597X     DOI : https://doi.org/10.24843/IJEET.2017.v02.i01
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering
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.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 16 Documents
 1   2 
Search results for , issue "Vol 3 No 1 (2018): January - June" : 16 Documents clear
Classification Study Period Department of Information Systems at STMIK Bandung Bali using Support Vector Machine (SVM) Method Zulfachmi Zulfachmi; Aggry Saputra; I Gusti Ngurah Janardana
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

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

Abstract

Graduation is the final stage of learning processactivities in universities. The undergraduate study period underSTMIK Bandung Bali regulation is scheduled in 8 semesters (4years) or less and a maximum of 14 semesters (7 years).Information Systems is one of the majors in STMIK Bandung Bali.The study period of this department can be influenced by manyfactors. These factors are the Kumulatid Credit Index (IPK),gender, scholarship, part-time work, Student Activity Unit (UKM).Purpose of this study was to determine the classification ofaccuracy factors. In this study using SVM (Support VectorMachine) method with accuracy of 99.07%.
The Design of Library Data Warehouse Using OLTP Result of Services Analysis Pasek Agus Ariawan; Made Dwi Ardiada; Yanu Prapto Sudarmojo
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

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

Abstract

The library is the primary means used in development efforts as well as an increase in knowledge. Library holds a very large role in the spread of information because the library provides collections that can be used as a reference for the Civitas academic. Data Warehouse is a system that takes and consolidate data periodically from a source system into a dimensional or normalization of the data store. The purpose of this research was to analyze the information about the business process and create the initial means for taking quick decisions in related service quality evaluation in libraries and Understand the trends/interests and make forecasts better decisions in the evaluation of the quality of related services in the library.
Fuzzy C-Means Clustering for Customer Segmentation I Made Dhanan Pradipta; Agus Eka Anwar Wahyudi; 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

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

Abstract

The right marketing strategy for a company canincrease revenue for the company. A product will not be boughteven known if the product sold is not clear its usefulness.Therefore, market segmentation is used to predict marketdemand based on market groupings such as Measurability(buyer characteristics and characteristics), Accestability(segmentation selected by company) and Substantiability (largesegment and profitable to serve).Customer segmentation is usedto determine the status of potential customers to choose the rightmarket strategy for the company. Clustering method used isfuzzy c-means, this method is determined based on the existenceof each data point by the degree of membership. Segmentationusing this clustering method will generate customer labels such assuperstar, golden, typical, occasional, everyday, and dormant.
Prediction Competition Result of Indonesian Football Club with C.45 Algorithm Gde Brahupadhya Subiksa; Made Dinda Pradnya Pramita; 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

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

Abstract

Indonesia is a country that is very fond of soccersport, according to Gojek-Traveloka League data there are anaverage of 13,423 spectators watching every game. With a sizeableaudience and a fairly regular schedule of matches by clubs andleagues in Indonesia. It makes predictions interesting because itwill provide an overview and direction of support for thecompeting club. In some studies relating to predictions anddecisions recommending the use of excessive C4.5 methods oralgorithms, such as the C4.5 algorithm can produce decision treesthat are easy to interpret, have an acceptable level of accuracy,efficient in dealing with discrete type attributes and can handleattribute of discrete and numeric type. So based on theexplanation, this research will discuss about the prediction ofIndonesian football club match using C4.5 method based on gamehistory that has been done before. The purpose of this research isto know how far C4.5 method can be applied in predicting soccermatch. The results of this study indicate that the C4.5 algorithmcan be implemented in predictions of the results of the gameproved with a fairly good accuracy of 63.04%.
The Optimization of Feature Selection Using Genetic Algorithm with Naïve Bayes Classification for Home Improvement Recipients Putri Suardani; Adi Bhaskara; 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

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

Abstract

The purpose of this study is to help predicting the recipients of home improvement based on the optimized criterias. The classification method is using naïve bayes method. Naïve Bayes classification is one of data mining classification technique that can predict future probabilities based on past experience. But, naïve bayes method has a disadvantage that the independence characteristics of Naïve Bayes feature can not always be applied so it will affect the accuracy. Due to the independence characteristics, Naïve Bayes classification method needs to be optimized by feature selection technique. Genetic algorithm are one of the most commonly used methods of feature selection techniques. The results achieved is Naïve Bayes Method can be applied to determine the recipients of home improvement, which seeks the greatest opportunity or alternative probability by exploiting the conditional probability of each criterion that has been optimized. This can be used as consideration, reference, and facilitate in determining the community welfare and the program rolled right on target.
Prediction of Days in Hospital Dengue Fever Patients using K-Nearest Neighbor Dewa Ayu Putri Wulandari; Kadek Ary Budi Permana; 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

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

Abstract

Dengue fever is found more in tropics andsubtropics area. The World Health Organization (WHO) notedthat Indonesia is as the highest dengue fever cases in South Asiansince 1968 till 2009. The treatment of patient dengue fever inhospital had spent rest time or the days in hospital in variationtreatment. Days in hospital often becomes questions from thepatients’ family. To predict of days in hospital is maybe to knowthe capacity for the long period strategies. In this research, weused machine learning approach to predict the period of denguefever patients. One of the machines of learning method is KNearest Neighbor (K-NN). In this case, we analyze the result ofimplementation K-NN method that used to predict period of daysin hospital patients for dengue fever. This paper used the result oflaboratory checking of blood complete with patients as parameterin predict the period of days in hospital dengue fever. The resultof examination used K-NN to show the accuracy levels reach65,67% with k optimal is k=13.
Data Warehouse Implemantation To Support Batik Sales Information Using MOLAP I Made Adi Bhaskara; Luh Gede Putri Suardani; 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

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

Abstract

Batik product has spread in various regions in Indonesia. Batik companies usually have data that accumulates and accumulates without any follow-up to the data. It is also not supported by well-executed final reports. Therefore it is necessary to build a data warehouse that can be used as a source of information for Batik management related to the trend of the type of batik motif based on the category of goods and marketing area from time to time. One important process that must be done in the operation of data warehouse is the process of copying data from the operational database. Before the operational data goes into the data warehouse, ETL process (extract, transform, load) to the data is done. The process is intended to standardize the data used in the data warehouse. Meanwhile, the scheme designed for the development of data warehouse using Snowflake Schema model. The results showed that batik warehouse data has four dimension tables (Product dimension, Region dimension, Time dimension, and Customer dimension), four sub dimension tables (Category dimension, Sub_Category dimension, Pattern dimension and Gender dimension) and one Fact table, Fact Sales. The extraction process produces dimension tables (Product dimension, Region dimension, Time dimension and Customer dimension) and sub-dimensional tables (Category dimensions, Sub_Category dimensions, Pattern dimensions and Gender dimensions). All monitoring of sales data of batik products is done using cube browser. The information displayed by each dimension can be viewed in more detail with the drill down or roll up process in accordance with the hierarchy rules of each dimension field.
Change of Function and Space of Puri in Bali: A Social History A. A. Gde Djaja Bharuna S; P. R. Salain; G. A. M. Suartika; N. K. Acwin Dwijendra
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

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

Abstract

Puri is one of the traditional Balinesearchitecture, which is a palace. The form is a complex ofbuildings that function as the center of government and theresidence of the king and his family. Like other palaces, puriin Bali has unique and distinctive features, making itinteresting to study.As time passes, Balinese traditionalarchitecture undergoes development and change, puri-puri inBali are also not free from that, in line with the developmentof Balinese socioculture. Changes in the puri in Bali basicallycaused by two main factors, namely external factors, as wellas internal factors. The research is aimed to intended toidentify factors causing changes in the puri, both in terms offunction and spatial. The study will be conducted with asocial-historical approach, an approach in the field ofarchitecture that has not been done. The proposition beginswith a description of the socio-cultural background of thecommunity and proceeds with a study of the physical changesthat occur. The results of the study are expected to be used toanticipate and control more worrying changes in the future
Designing Data Warehouse for Analysis of Culinary Sales With Multidimensional Modeling – Star Schema Design (Case Study: XYZ Restaurant) Aggry Saputra; Zulfachmi Zulfachmi; 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

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

Abstract

Fast and accurate information is one of the factors that make a company can be more superior than the other. In order to meet the information needs of various data, it takes a data warehouse where data from data warehouse can be more useful information so that can be used in support of a decision quickly. Star Schema is one dimensional model of data warehouse that has fact tables in the middle and is surrounded by several dimension tables.
Online Analytical Processing (OLAP) for Disaster Report Kadek Ary Budi Permana; Dewa Ayu Putri Wulandari; Putu Arya Mertasana
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

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

Abstract

Data analysis of disaster is very important forsupporting in making decision to cope with the next disaster orprepare if the disaster will happen again. Online AnalyticalProcessing (OLAP) becomes solution to get analysis by usingcertain analysis that supplied in OLAP. To supply the dataanalysis in which done by OLAP so the data as the representativein multidimensional model that manages the data in cube form.Warehouse data can be called as the place from source data thatused to make easier in analysis information process in it becauseconcept of data dimensional offered. The planning data warehouseis basically by source data that gotten and decided by thedescription of needs from the users. OLAP in this disaster reportsuccess in implementation with helping data warehouse and implysnowflake schema to dimensional data first.

Page 1 of 2 | Total Record : 16

 1   2 

Filter by Year

2018 2018


Reset
Filter By Issues
All Issue Vol 6 No 2 (2021): July - December 2021 Vol 6 No 1 (2021): January - June Vol 5 No 2 (2020): July - December Vol 5 No 1 (2020): January - June Vol 4 No 2 (2019): July - December Vol 4 No 1 (2019): January - June Vol 3 No 2 (2018): July - December Vol 3 No 1 (2018): January - June Vol 2 No 2 (2017): July - December Vol 2 No 1 (2017): January - June Vol 1 No 1 (2016): July - December More Issue