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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
A Comparative Study of Capacitated Vehicle Routing Problem Heuristic Model Agung Chandra; Aulia Naro
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.p015

Abstract

CVRP is a variant of VRP that can be used to find the minimum distance and number of vehicles. In this paper, three algorithm for initial solutions are compared to find the minimum distance for shipping goods from distribution center to all outlets routinely in West Jakarta – Improved Clarke and Wright (ICW) algorithm, Karagul Tokat Aydemir (KTA) algorithm , and Sweeping – Cluster First Route Second algorithm. The results show that Sweeping algorithm is the shortest total distance compared to other two algorithm which is 48.57% shorter than KTA algorithm and 33.33% shorter to ICW algorithm. Larger sample sizes need to be evaluated to strengthen this findings. Index Terms—CVRP, ICW, KTA, Sweeping algorithm
Design of Data Warehouse for Minimarket’s Sales Information Using Tabular Models I Gusti Ngurah Agung Jaya Sasmita; Made Sudarma; Dewa Made Wiharta
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.p06

Abstract

Alongside with development of technology, more business need support of business intelligence tools to transform its data in a meaningful way which is accumulated rapidly in every transaction occurred. In order to achieved that, data warehouse with its online analytical processing (olap) can be considered as a solution. One tools for creating an olap from data warehouse is SSAS. This tools consist of two models, first one is multidimensional models or can be said the traditional one and the new one is tabular models. One best feature that tabular models give is the time needed for building it. The tabular models does not require the data in format of fact and dimension tables so reduce the time to change particular data into some scheme (star or snowflake). Hence, the purpose of this research is to design a data warehouse for minimarket’s sales information using the advantage of tabular modeling for creating the analysis. Its also known that, the data analysis created using tabular, support reporting application such as pivot table excel, so the user not need to create a new application for reporting analysis
Analyzing Passenger Car Equivalent for Motorcycle on Mixed Traffic Flows in Denpasar City during the COVID-19 Pandemic I Made Kariyana; Putu Aryastana; Gede Sumarda; I B Indramanik; Ni Wayan Wahyuni
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.p21

Abstract

Passenger Car Equivalent (PCE) is the conversion factor of various vehicle types into passenger car units. Characteristics and geometric road conditions affect the PCE value. The PCE value on urban roads has been determined in the Indonesian Highway Capacity Manual (IHCM) in 1997. Previous studies show that the PCE value for motorcycles according to IHCM isn‘t appropriate. The COVID-19 outbreak that occurs at Denpasar in early March 2020 led to a policy to restrict community activities outside the home, affects the traffic flow conditions in Denpasar City. The study's aim is to estimate the PCE value for the motorcycle at COVID-19 pandemic on mixed traffic flows in Denpasar and compare it with the PCE value in the IHCM. The PCE value is determined using the time headway method. The analysis results show the PCE value of the motorcycle during the COVID-19 pandemic was different from the PCE value of the IHCM.
Prototype Design of Android Based Bus Maintenance System in PT. Sumber Jaya Trans Tangerang Yudi Sulaeman; Syihabudin Alawi; Fifit Alfiah; Turki Salim
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.p27

Abstract

Tourism transportation companies such as the Sumber Jaya Trans bus are a means used to facilitate an agency or company in conducting tourism trips. With the use of a means of transportation, maintenance is definitely needed for the continued use of the vehicle in the long term. At PT. Sumber Jaya Trans Tangerang has a problem, namely regarding the reporting of vehicle maintenance data that still uses the web, mechanics who have repaired bus vehicles fill out maintenance reports on a web so that it takes a very long time. With the existing problems, the authors propose an Android-based bus maintenance system. Using the PIECES analysis method. The system design uses object-oriented analysis method with Unified Modeling Language (UML), programming language for Web Service using PHP with Laravel framework, programming language for Android using Dart with Flutter framework. Android was chosen because of its popularity among Indonesians as a mobile operating system capable of replacing computer jobs. Therefore we need an Android-based system that can assist in reporting vehicle maintenance data to make it more effective and efficient.
Data Warehouse Design and Build Data Warehouse Using Ontology and Rule Base Method in Supporting Sales and Service Information Muhammad Qusyairi
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.p011

Abstract

Data warehouse makes company data that is spread out become integrated and concise so that it helps managers or top management in analyzing existing data for strategic and fast decision making. With the application of data warehouses using the rule base ontology method, it makes the class of related data relations easier to analyze so that it helps companies monitor the good results of sales data relating to goods, sales locations, turnover values, and data services related to product service, region , technician, and service value
Data Warehouse Design for Hospital Executive information using the Facts Constellation Method (Case Study Bali Mandara Eye Hospital) I Gusti Ngurah Aditya Dharma; Komang Oka Saputra; Nyoman Putra Sastra
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.p02

Abstract

In the development of information technology, it is very important for the industry to create a structured data warehouse. It has functions as a track record data and digital archiving. One industry that requires a data warehouse is a hospital. Hospitals need a digitizing system that can store medical record data and other vital data in their managerial system. Hospitals are now required to have a hospital management information system as an information medium to speed up the process of obtaining computerized information. Hospital data warehouse must be built with a systematic, tactical scheme in reporting and can guarantee its confidentiality from unauthorized persons. Displaying reports from the database is possible but has complex and very slow queries. So to make an executive report that quickly requires making dimensional data warehouse. Data warehouse schemes from a good Hospital Management System can be made in various ways, one of which utilizes the Facts Constellation scheme as the research raised by this paper.
Risk Risk Mitigation on Asphalt Mixing Plant Process in Bali A.A.A Made Cahaya Wardani
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.p017

Abstract

Risk Mitigation on Asphalt Mixing Plant Process in Bali AAA Made Cahaya Wardani1, I Nyoman Arya Thanaya2, I Nyoman Yudha Astana3, AA Gde Agung Yana4 Student of Doctoral Program Engineering Science Udayana University,Denpasar,Bali, Indonesia 2,3,4 Lecture of Doctoral Program Engineering Science Udayana University, Denpasar, Bali,Indonesia Email : agungcahaya@unhi.ac.id ABSTRACT The need for asphalt to meet the handling of the National road project which has been fulfilled by Pertamina as a partner providing asphalt is believed to be able to meet the needs of up to 45 to 50 percent (1.2 million to 1.4 million tons per year). In Bali Province, with a length of 629.39 km of National Roads and 743.34 km of Provincial Roads (PUPR Office of Bali Province, 2018). For Fiscal Year 2018, the need for Asphalt in Routine Rehabilitation / Maintenance Activities for Roads and Bridges is 25,842 tons of asphalt (PUPR Bali Prov. 2018) and the quantity requirement for asphalt for Road and Bridge Improvement Work Packages in Fiscal Year 2018 is 195,657.6 tons. So that the risk of asphalt procurement by its suppliers requires effective handling.This study focuses on mitigating major risks that occur in the road works supply chain, namely identifying risk mitigation in the production and operational processes of the Asphalt Mixing Plant (AMP) production unit related to road infrastructure construction work in Bali Province. The first study focuses on mitigating major risks that occur in the road works supply chain, namely identifying risk mitigation in the production and operational processes of the Asphalt Mixing Plant (AMP) production unit related to road infrastructure construction work in Bali Province has been completed. This study focus on the second stage of risk mitigation that is data collection regarding ISM mitigation and assessment through Focus Group Discussions which will be held after the first stage is completed, the selection of FGD members is carried out by people who have expertise and competence in their fields consisting of: Contractors, Consultants, project owners, academics and competent people in AMP management. From the study found 80 points of mitigation from major risk based on SIPOC stage of asphalt production. This risk mitigation is elaborated into Total Quality Management, and catagorized into 11 catagory of risk mitigation elements of Risk Mitigation Model based on Total Quality Management. Keywords : Risk Mitigation, Interpretive Structural Model, Focus Group Discussion
Classification and Prediction of Smoking Behavior and Hypertension in the Healthy Family Program with R (Case Study : Bali Provincial Government Department of Health) I Gede Abi Yodita Utama; Nyoman Pramaita; 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.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.
A Bibliometric Analysis of Input Parameter in Artificial Neural Network Approach for Groundwater Level Prediction Putu Doddy Heka Ardana; I Wayan Redana; Mawiti Infantri Yekti; I Nengah Simpen
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.p22

Abstract

Rapid growth in the Artificial Neural Network (ANN) approach in groundwater level prediction literature calls for an assessment of the trajectory and impacts to identify key themes and future research directions. In this paper, reported a bibliometric analysis of this literature that focuses on examining input paramater uses, focus of research, and research forward. We used Elsevier’s SCOPUS database, Dimensions, and Google Scholar to search for publications from January 2000 to May 2020 on the ANN approach in groundwater level prediction, and analyzed the ?nal sample of 101 publications using RIS file from Mendeley and Vosviewer software tools. Thematic analysis of abstracts revealed a strong focus on groundwater level prediction with artificial neural network approach. The co-occurrence network map showed the hydro-climatology parameter like precipitation, temperature, and groundwater level connected with a large number of frequently used for input in ANN approach, while the evapotranspiration, evaporation, humidity, river stage, runoff parameter demonstrated much weaker links. Re?ected on how these ?ndings may useful for better understand and ultimately be able to use the other hydro-climatology input paramater on groundwater level prediction with artificial neural network approach.
Comparison of Model Prediction for Tile Production in Tabanan Regency with Orange Data Mining Tool Ida Bagus Putu Jayawiguna
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.p012

Abstract

Data can not only be saved, but the data can be processed to be a representation of new knowledge. Tile production data in Tabanan Regency is one of them, this data consists of variables that affect the results of tile production in Tabanan Regency. Tile production in Tabanan Regency is relatively declining, therefore a predictive modeling is needed to predict the results of tile production and see which variables most influence tile production. Some data mining techniques such as classification tree, AdaBost, kNN can be used to perform the prediction modeler. In this study predictions using several methods then compare the effectiveness of these methods and look for variables that are more influential on tile production using Linear Regression. Orange data mining tool is used in this study, the use of Orange Data Mining is because this tool is based on GUI so that it can be used easily and can be utilized even by ordinary people. This study produces the best value on the comparison of the methods used and the most influential variables.

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