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
Kab. badung,
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 183 Documents
Implementation of Document Clustering in Online News Using K-Means Clustering Dharma Putra, Yogiswara; Ariyani, Ni Wayan Sri; Swamardika, Ida Bagus Alit
International Journal of Engineering and Emerging Technology Vol 5 No 2 (2020): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/IJEET.2020.v05.i02.p10

Abstract

The development of technology when making an explosion of the number of news or news documents that are very much on the internet, it is necessary to have clustering done in dividing these documents so that they can be adjusted based on the category of the online news. Application of document clustering can increase the effectiveness of information retrieval by referring to a hypothesis that relevant documents will tend to be in the same cluster if a collection of documents has been clustered. This research aims to try to do clustering on online news about Covid-19 taken from three online news websites contained in XML files. K-Means clustering is used as a grouping of online news by using an open-source application, Carrot2 Workbench which turns out to be able to generate nine clusters of "Covid-19" queries entered in the Carrot2 application.
Classification and Prediction of Smoking Behavior and Hypertension in the Healthy Family Program with R (Case Study : Bali Provincial Government Department of Health) Utama, I Gede Abi Yodita; Pramaita, Nyoman; Sudarma, Made
International Journal of Engineering and Emerging Technology Vol 5 No 2 (2020): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/IJEET.2020.v05.i02.p07

Abstract

The Healthy Indonesia Program with the Family Approach aims to improve the quality of human life and is a government program that starts from the family environment. There are 12 indicators marking the health status of a family. The Provincial Government of Bali in implementing the 12 indicators there are two main problems of non-communicable diseases, namely patients with hypertension and smoking behavior. An analysis in the form of classification and prediction is needed to overcome these problems. Classification and prediction is one of the techniques in data mining. Through R, a decision tree can be produced which can be used to help the classification process and produce predictions related to the problem of non-communicable diseases. The decision tree results can be predicted that the dominant hypertension are in the age group classification of 20-40 years and 41-70 years with a probability of 0.14. As for smoking behavior, the highest smoking tendency was obtained in the classification of male sex whose status worked with a probability of 0.44.
Middleware ETL with CDC based on Event Driven Programming Adnyana, I Gede; Sudarma, Made; Gede Ariastina, Wayan
International Journal of Engineering and Emerging Technology Vol 3 No 2 (2018): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

To achieve the real time data warehouse is strongly influenced by the process in the data warehouse known as Extract, Tranform, Loading (ETL). One way to optimize the ETL process is processing only data that undergoes changes on the On Line Transaction Processing (OLTP) system. This technique is known as Change Data Capture (CDC) which is designed to maximize the efficiency of the ETL process. In this research middleware was built as a place where the ETL process will be carried out, transaction data from the OLTP system will be captured and sent directly to the middleware for further processing. The method used to capture changes in OLTP systems is Change Data Capture (CDC) based on Event Driven Programming, where this technique relies on events that occur in OLTP in capturing data changes. Functional testing is done by making a simulation of the insert and update processes in test applications namely OLTP CRM system.The results of the research obtained are (1) Change Data Capture (CDC) based on Event Driven Programming can capture changes in data that occur in OLTP CRM database;(2) ETL process to load data from Normalized Data Store (NDS ) to data warehouse with Timestamp technique can load data that only undergoes changes that are processed to be loaded in Data Warehouse;(3) An increase in the amount of data that is processed has an effect on increasing processing time. Other factors that affect the value of process time are execution plan and cache memory
Experimental Study On The Use Of Ejector With Two-Evaporator Temperatures Applied For Performance Enhancement Of Split Type AC System Arsana, Made Ery
International Journal of Engineering and Emerging Technology Vol 2 No 2 (2017): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

The study was focused on the performance of a modified split type air conditioning (AC) system that used an ejector as its expansion device. The purpose of this study was to demonstrate that replacement of accumulator device with secondary evaporator of a standard air conditioning ejector system could improve coefficient of performance (COP) of the system. The tested split air conditioning system was a non-inverter system charged with R290 refrigerant. The evaporator of the system was placed in a test chamber incorporated with electric air heater to maintain constant load to the system. The results showed that the modified ejector AC system utilizing secondary evaporator could provide significant COP enhancement of about 13% over that of the standard ejector AC system. Keywords: two evaporator temperature ejector system, COP enhancement, and split type AC system
The Modified Flocking Algorithm for Optimizing Non Player Character Movements Dewi, Astria Sastra; Hidayat, Eka Wahyu; Sulastri, Heni
International Journal of Engineering and Emerging Technology Vol 5 No 2 (2020): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/IJEET.2020.v05.i02.p01

Abstract

Non player character is an important part of a game that can make gameplay more interesting and challenging. That reason also makes it important to study, especially for non player characters that are clustered in large numbers where programming of such non player characters is relatively difficult to do. Quite a lot of games with non player characters in the form of birds that are clustered but on average the game does not apply good movement so that the motion of birds is relatively slow, monotonous and unrealistic. In this research, we will try to modify the Flocking Algorithm, as one of the popular algorithms for non player character groups, so that birds can fly scattered in terrain while maintaining flocking. In its implementation, the new algorithm was successfully designed and inserted in flocking, which was then applied to a 3D game. The test results are quite satisfactory with only 6.6% collisions on 100 agents with a maximum frame rate of 10 fps. Non player characters succeeded well toward 3 targets in less than 2 minutes and the results of beta testing were an average of 81% of respondents "VERY AGREE" The implementation of the Flocking Algorithm and its modification worked well and resulted in a realistic movement of non player characters.
Big Data Management Dharma Rahadi, Putu Suta Adya; Shobirin, Kheri Arionadi; Ariyani, Sri
International Journal of Engineering and Emerging Technology Vol 1 No 1 (2016): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

In recent years, big data is a term representing large and complicated datasets that traditional data processing, including acquisition, pre-processing, storage, analytics, and visualization, etc, are not capable of tackling. Big data is a term that describes a large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. The usage of big data nowadays has deeply penetrated into various industries, such as e-commerce, retail, manufacturing, media, transportation, health-care, education, etc. In e-commerce, big data can be used in product ranking solution which offers solution to provide accurate information to the user based on their behavior when they are accessing any e-commerce website.
Management Information System of Event Organizer Gede Yudiyana, I Made; Sumichan, Andrew; Sri Ariyani, Ni Wayan
International Journal of Engineering and Emerging Technology Vol 3 No 2 (2018): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

The rapid development of technology has had a major impact on the development of the industry to simplify the business processes involved. Event Organizer in the field of conference events is one of them which has many activities in one event that can be held more than one day. The management information system will assist and facilitate event activities in terms of ticket sales, booths, accommodation and activities outside of events such as tours held by organizer. The research methodology carried out begins with interviews with business operators organizing the event to look for functional requirements which are then produced at the end of the research a system that is in accordance with the needs to assist ongoing activities.
Classification Study Period Department of Information Systems at STMIK Bandung Bali using Support Vector Machine (SVM) Method Zulfachmi, Zulfachmi; Saputra, Aggry; Janardana, I Gusti Ngurah
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

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%.
Data Mining for Clustering Revenue Plan Expense Area (APBD) by using K-Means Algorithm Wahyudin, Wahyudin; Wijaya, I Putu Ari; Swamardika, Ida Bagus Alit
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

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Abstract

APBD is a systematic detailed list of receipts, expenditures and local spending within a certain period ( 1 year ) arranged in Permendagri No. 16 of 2006, so that the data APBD can be used as guidelines for governments and local expenditures in carrying out activities to raise revenue to maintain economic stability and to avoid inflation and deflation. Government financial institutions in areas such as DPKA kota Bima, experienced difficulties in identifying the relevance of each archive data on a APBD that so much, that results in a data warehouse, in addition to the administration, APBD in the government of Kota Bima have not been effective. To minimize the difficulty in identifying heap data archive APBD, then the data warehouse can be used to produce a knowledge that by using the techniques of Data Mining ( DM ), the method used is clustering and forecasting, clusterisasi performed using the K-Means Algorithm while for forecasting with multiple linear regression. With this method intended to classify and identify the data in the budget that have certain characteristics in common, and can predict the value of APBD in the future.
Designing a Decision Support System for the Best Employee Selection Using AHP Method Case Study PT. Z Bali Wira Partha, I Gusti Ngurah; Mamang Weking, Philipus Novenando; Sudarmojo, Yanu Prapto
International Journal of Engineering and Emerging Technology Vol 3 No 2 (2018): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

The chairman and owner of PT. Z Bali considers the employees who work in his company to be very important for the continuity of the industry in his company, so he is very concerned about what the employees need. His attention to the needs of his employees is realized by giving bonuses to employees who have the best performance in the company. Periodically he assigns tasks to the Human Resources Department (HRD) in his company to process the best employee selection or employees who have good quality work. But the best employee selection process at PT. Z Bali is still done manually and only based on the subjectivity of the HRD, this led to the HRD has trouble making decisions, so sometimes there is an employee who obtained the title of the best people by just looking at the first criteria, but these employees have not been certainly excelled on some other criteria. Therefore, the purpose of this research is to Designing a Decision Support System for the Best Employee Selection Using AHP Method Case Study PT. Z Bali to be able to help the difficulties that are being faced by the Human Resources Department (HRD) at PT. Z Bali.

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