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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 197 Documents
Project Management Information System Audit with COBIT 5 Framework Focused on DSS Domains Andrew Sumichan; I Made Gede Yudiyana; Made Sudarma
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

Information system management as a recording media for transactions, especially a construction project, is a management and financial strength for the company. Poor IT governance can cause various problems to arise and harm related parties that lead to company failures and losses. Auditing Information system is conducted to find the value of the maturity level of a management of information technology management in a company to fix existing problems. This study conducted an audit process on a project management information system with Cobit 5 Framework focusing on DSS domain. Study case is PT.K a contracting companies with the results of the capability level at the company is 2.16 and requires a quick fix on the DSS05 process.
System Decision of Natural Disaster Logistics (Case Study of Mount Agung Eruption) I Made Dhanan Pradipta; Made Dinda Pradnya Pramita; I Gusti Ngurah Janardana
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

Gunung Agung is one of the most potent eruption volcanoes in Indonesia. Reflecting back to 1963 when Mount Agung erupted, the impact was so devastating. Even the impact for months. The lack of food supplies is becoming a central job for the government. The distribution of logistics plays an important role in this regard whether it is food, clothing or other necessities, but the current logistics distribution system is still manual so it is not very efficient and very likely there is a misstatement. The impact of difficulties in managing logistical assistance can be seen, eg uneven distribution of relief goods in terms of number of inter-regions (posts), types of relief items sent are not in accordance with the type desired by individual posts, and especially for fast food, then damaged and outdated because it was sent to the post at the wrong time and improper handling. Needed a solution to minimize the problems that arise in the process of disbursing logistics disaster management is by using the Logistics Management Information System. In this research, the method used using two methods, namely waterfall method for system development, and for decision support system using Topsis method Expected to be able to manage logistical support in a timely, timely, and precise location
Prediction of DOTA 2 Match Result by Using Analytical Hierarchy Process Method Gede Adi Aryanata; Putu Suta Adya Dharma Rahadi; Yanu Prapto Sudarmojo
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

This research discuss about how to predict a match result by using data mining as the foundation to make a conclusion. In this research, Analytical Hierarchy Process (AHP) is used as a main data mining method for making a prediction. AHP works by using pre-existing data events as training data to obtain predictions of future data results. This research uses four parameters to predict the result of international Dota 2 match. Those parameters are experience per minutes (XPM) and gold per minutes (GPM), matchmaking ratio (MMR) point, 3 head to head matches result, and the last 10 results matches. In its implementation, the four parameters are given different rules and priority levels to support the performance of the AHP method. The result of this study has a satisfactory level of accuracy regarding the victory estimation of the match.
Stock management using K-means method and Time Series method as Stock Order Komang Sri Utami; I Gede Wira Dharma; Ni Wayan Sri Aryani
International Journal of Engineering and Emerging Technology Vol 4 No 1 (2019): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Good stock management is one of the keys to success for sales businesses. A stable stock flow will affect the cost of purchasing goods and income. This condition can be achieved when the prediction of the required stock is right, so there is no accumulation of stock or empty stock. The case to be taken is for drug management of a pharmacy. This study uses the K-means method and time series method. The K-means method is a grouping method that is very easy to use and implement. Drug groupings will be made into 3 types, namely the best-selling, selling, and less-selling groups. While the regression time series method is used to predict the stock to be purchased that will be used in two weeks so that there is no stock buildup. Both of these methods are used to provide a grouping of drugs and the right amount of medicine to buy so that the management of drug stocks can be done well. The results of the tests carried out using 1000 test data, in which the K-means grouping test was C1 = 13, C2 = 29, C3 = 958 which was obtained from 11 iterations that had been done. In addition, each drug item has been predicted for the number of drugs to be purchased according to the sales performance of the last 3 months. From both of these results, it can be a reference in making order decisions to better manage stocks
Biogas Utilization Using Fish Waste with Constant Volume of Inoculum Cow-Dung Petr Zamazal; I Nyoman Suprapta Winaya; Ketut Astawa
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

This research used fish waste as a raw material and inoculum cow-dung as a starter to produce biogas. It was calculated the weight of total solid and volatile total solid for the right amount of substrate to be incorporate into the digesters. The variation of 5g, 6g, 7g, 8g, 9g and 10g of volatile total solid was mixed with the inoculum cow-dung 100ml and water as the rest, which was filled up to 300ml of the total volume of slurry. Two digesters with amount of 100ml inoculum cow-dung and 200ml water were used as the comparison. This research was conducted for 30 days and it was measuring pressure in digesters, temperature and pH, which was conditioned once a week with NaOH or H2SO4. The best result can be seen in the variation of 5g fish waste as a substrate. The volume in the digester is 93.93ml/gVS with percentage levels of CH4 by 51% and CO2 by 47%.
Design General Hospital Data Warehouse Base on Nine Step Methodology Ida Bagus Leo Mahadya Suta; I Gusti Ngurah Agung Surya Mahendra; Yanu Prapto Sudarmojo
International Journal of Engineering and Emerging Technology Vol 4 No 1 (2019): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Data warehouse is a method used to hold and analyze data in large number. The analysis can be viewed from several different dimensions or points of view. The application of data warehouse technology can overcome the problems and needs of executive at Genral Hospital in conducting analysis of large amounts of patient data, especially data inpatient and outpatient care. The data warehouse design method is done by applying 9 step (Nine-Step Methodology) used by Kimball. The 9 stages are the selection process, selection, grain, identification and adjustment, fact selection, pre-calculation storage in the fact table, ensure dimension tables, select database durations, track changes from dimensions slowly, determination of priority and query model. The results of this study are in the form of schema design and data simulation warehouse by displaying inpatient and outpatient data based on time dimensions, patients reference, diagnosis, patient status, room, type of patient, condition of return, and district in the form of a table and graph
Model of City Planning Information System Sub Module Building Permits for Klungkung Regency Government I Nyoman Darma Kotama; Anak Agung Gede Oka Kessawa Adnyana; Komang Oka Saputra
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 adapt technology trends and work efficiency in public services, Indonesia Government in 2003 started to make a base foundation about how e-government system should be build on the upper government of each regency. Following that law, each regency started to implement their process and services to citizens into their own e-government system. Klungkung regency is a part of Bali Province that still have some parts of its services still going on conventional way, especially on buildings permit. While Klungkung Regency was separated by sea, and has a plan to increase its region documentation, this conventional way sometimes not effective to run. This research will propose a model about building permit system that can be build on top of city planning information system that Klungkung Regency has. Proposed model successfully done with requirements and specification from interview with the authorities, with implementation on user-interface design and technical design on the database
Design Data Warehouse for Centralized Medical Record Kadek Ary Budi Permana; Gde Brahupadhya Subiksa; Made Sudarma
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

Medical record is a note related to service and action which was accepted by the patient on the health facility. Nowadays, data about medical record have been saved electronically both in form of computer file or database file. Today, the medical record can only be accessed by the hospital and the patients themselves. Medical record supposed to be a consideration in taking particular medical action in real situation. The centralized medical record is needed in order to ease the exchange of medical record among hospitals or other institute. The centralized medical record will involve a lot of data from many sources. The design of the data warehouse can be a solution, in which the data warehouse is a place to submit the data or the data which have been submitted systemically so it can be used to help the analysis and report. By designing the centralized medical recorded it is expected that in the future it can give the complex information and analyzing the data.
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

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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.
Stemming Algorithm for Indonesian Digital News Text Processing Putu Manik Prihatini; IKG Darma Putra; IAD Giriantari; M Sudarma
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

Stemming is the process of finding the basic word of a word in the text. The stemming algorithm built by Nazief-Adriani is the best stemming algorithm for Indonesian, and has been refined by Asian Jelita. However, references related to the Nazief-Adriani stemming algorithm are still difficult to find given that the algorithm is an internal publication. Therefore, in this study, will be built stemming algorithm for Indonesian news digital text based on the stemming algorithm Nazief-Adriani and Jelita Asian. The evaluation in this study was done before and after the addition of rules and more complete basic word dictionary. Both evaluations were performed by calculating Precision, Recall and F-Measure values between automatic and manual stemming results. Preliminary tests of the stemming algorithm Nazief-Adriani and Jelita Asian found some new basic words, abbreviations, entities and foreign terms that appear common in the news text but have not stored in the basic word dictionary. Furthermore, there are some unrecognized affixed words in defined rules. The addition of basic words, abbreviations, entities and foreign terms to the basic word dictionary, along with the addition of rules can improve the performance of the stemming algorithm built on this study. Thus, the completeness basic word dictionary and the accuracy of rules play a very important role in the success of an automatic stemming algorithm.

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