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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 28 Documents
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Search results for , issue "Vol 5 No 2 (2020): July - December" : 28 Documents clear
Solid Catalyst in Esterification and Transesterification Reactions for Biodiesel Production: A Review Nengah Simpen; IN. Suprapta Winaya; ID.G. Ary Subagia; IW. Budiarsa Suyasa
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.p29

Abstract

Biodiesel is considered as an important substitute for the replacement of fossil diesel due to its biodegradable, renewable and non-toxicity to environment. Biodiesel consist of mixture of mono alkyl esters of long chain fatty acids. It is produced from vegetable oils, animal fats and waste cooking oil. Solid catalysts are promising and advantageous for biodiesel production because those could be reusable, environmentally benign and are more effective than liquid catalysts. Moreover, the application of solid catalysts does not produce soaps through triglycerides saponification or free fatty acids neutralization. When triglycerides as major component of oil react with alcohol (methanol or ethanol) to form biodiesel in the presence of base catalyst, this called is transesterification. When acid catalysts are used for reducing free fatty acids to form biodiesel, this called is esterification. The application of solid catalysts in esterification and transesterification reactions for biodiesel production are discussed in this review.
Application of IoT-Based System for Monitoring Energy Consumption Purwania Ida Bagus Gede; Satya Kumara I 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.p014

Abstract

Energy conditions in Indonesia are not balanced so there is an overlap between energy demand and availability. Energy demand will continue to increase with population and industry growth, but the availability of energy will continue to decrease. Uncontrolled energy consumption will certainly increase damage to the environment which in turn worsens global warming. Energy management is a best practice so that the use of energy is well managed. Technological developments can also support energy management by utilizing IoT technology. This study conducted a systematic literature review related to the application of IoT in energy management systems. The results of the literature review conducted are that IoT which was built for energy management consists of several components, such as microcontrollers, sensors, modules, communication protocols, and cloud-based systems. Microcontrollers often used in building IoT systems are Arduino and NodeMCU. The sensor is varies depending on the measurement requirements, usually using the current sensor and voltage sensor.
Market Basket Analysis using FP-Growth Association Rule on Textile Industry Kadek Darmaastawan; Komang Oka Saputra; Ni Made Ary Esta Dewi Wirastuti
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.p05

Abstract

Online shop is one of the technological developments that makes it easy for sellers and buyers to make transactions. A batch of data is produced from the process at an online shop and will be wasted if not utilized properly. An example is a batch of transaction data that may store hidden information that might benefit the online shop, such as information on customer transaction patterns or information on the relationship between two or more items that are most often purchased by customers. Based on that problem, this research conducts market basket analysis using one of the data mining methods, namely Association Rule with FP-Growth Algorithm, to find hidden information in a transaction data produced by an online shop. The data used in this research is an online shop transaction data that contains more than one item from November 2019 to December 2019 owned by one of the textile industries located in Ubud, Bali. The calculation of the FP-Growth Association Rule also tested using the Weka application. The results of market basket analysis are several associative rules related to the combination of best-selling items, such as “customers who buy Tigers Base Grey will have a 100% chance of buying Tribal Green too”. The result can be utilized by the textile industry owner to manage the layout of the online shop, add item recommendation features to the online shop based on items purchased by the customer, and also keep stock of the best-selling items to prevent running out of stock.
Thermal Conductivity and Bending Strength of Coconut Fiber/Paraffin/Graphite Composite Phase Change Materials I Made Astika; I Nyoman Suprapta Winaya; I Dewa Gede Ary Subagia; I Ketut Gede Wirawan
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.p20

Abstract

The use of composite materials for panel boards, building construction, vehicle accessories, and household furniture is growing. Coconut coir fiber-reinforced composites can be applied as panel boards for building and furniture construction, which can also be used as heat storage systems. The coco fiber composite's low energy storage capacity can be increased by incorporating PCM material into it, forming a PCM composite material. Heat absorption and release performance depend on the material's thermal conductivity, which can be increased by adding additives such as graphite. This paper presents a performance test of PCM composites to obtain bending strength and thermal conductivity. The research materials were coconut coir fiber, polyester, paraffin, and graphite. The weight fractions of coco fiber and polyester were 30 and 50%, respectively. Variation of paraffin weight fraction 15 and 20% and variation of graphite weight 0 and 5%. The method of mixing materials is direct incorporation and forming of PCM composites using a press molding process. The tests carried out include the bending test (ASTM D790-03) and the thermal conductivity test using the Heat Transfer Experiment Base Unit test kit. The results show that the use of 15 wt% paraffin with 5 wt% graphite increases thermal conductivity by 23.27% and increases bending strength by 36.71%.
Analysis and Design of Data Warehouse for E-Library Using Snowflake Schema Made Dwi Mulyawan; Ida Bagus Alit Swamardika; Komang Oka Saputra
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.p26

Abstract

Information systems have become an important requirement in helping human work, one of which is e-library. Thissystem is used by librarians in carrying out daily business processes in the library, such as borrowing and returning books,managing book collections, and procuring the latest book collections so that the library has updated books. Over time, the datastored in the database will increase a lot, so when analyzing information that requires data with a certain period will take quite along time. So, in this case, the use of a data warehouse is needed to help the librarian in providing the information needed. Thisresearch will present a data warehouse design using snowflake schema by following the design stages in Fourth Steps DimensionalModeling, as one of the solutions in providing the required data warehouse design in the e-library.
Implementation of Document Clustering in Online News Using K-Means Clustering Yogiswara Dharma Putra; Ni Wayan Sri Ariyani; Ida Bagus Alit Swamardika
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.
The Modified Flocking Algorithm for Optimizing Non Player Character Movements Astria Sastra Dewi; Eka Wahyu Hidayat; Heni Sulastri
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.
Market Basket Analysis For Procurement Of Food Stock Using Apriori Algorithm And Economic Order Quantity Made Sri Indradewi Adnyana; Rukmi Sari Hartati; Made Sudarma
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.p25

Abstract

In a company, it's important to think about inventory patterns. Because without inventory management, companies can suffer losses. Perceived losses if the goods owned in the company's stock are lacking but the interest in goods is very high can cause consumers to switch to other companies and will reconsider making transactions. This also happens if the goods available in the warehouse have a large amount but the consumer's interest in the goods will experience a slight loss especially if the item has an active period so there is a buildup or loss. Therefore an item management strategy is needed. One company that can use both of these methods is Starbucks Legian. Because using the Economy Order Quality method can determine the number of subsequent orders and using a priori algorithm can help companies determine the items that need to be held more and can be given as promos with other products sold or given discounts. Using these two methods will attract consumers to shop at Starbucks Legian.

Page 3 of 3 | Total Record : 28

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