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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 197 Documents
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Measurement of Face Detection Accuracy Using Intensity Normalization Method and Homomorphic Filtering I Nyoman Gede Arya Astawa; I Ketut Gede Darma Putra; I Made Sudarma; Rukmi Sari Hartati
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

One of the factors that affects the detection system or face recognition is lighting. Image color processing can help the face recognition system in poor lighting conditions. In this study, homomorphic filtering and intensity normalization methods used to help improve the accuracy of face image detection. The experimental results show that the non-uniform of the illumination of the face image can be uniformed using the intensity normalization method with the average value of Peak Signal to Noise Ratio (PSNR) obtained from the whole experiment is 22.05314 and the average Absolute Mean Brightness Error (AMBE) value obtained is 6.147787. The results showed that homomorphic filtering and intensity normalization methods can be used to improve the detection accuracy of a face image.
Audit Information Technology Based on COSO ERM Framework (Case Study: Dikpora of XYZ City) Wahyudin Wahyudin; M. Azman Maricar; I Wayan Arta Wijaya
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

Information Technology utilization as support of the achievement of the goal and objectives of the organization must be balanced with the effectiveness and efficiency of its management. Thus the audit of IT must be done to maintain the security of information systems as the assets of the organization to maintain the integrity of the information stored and processed and of course to improve the effectiveness of the use of information technology and supports the efficiency in the environment of the organization. This research goal to perform the mapping of IT audit stage along with the controls and then applied on an organization, namely Dikopra of XYZ City to view the performance of existing IT. The framework is used as a reference is COSO ERM. The audit event is done by using the phases that exist on the wizard on the COSO ERM which is divided into several components. The results of the evaluation or done analysis of root cause so we can get a recommendation for a better IT management again.
Information Technology Application Audit for Employees Using IT Baseline Protection Muhammad Ridwan Satrio; I Made Bagus Wiradivka Laksa Wibawa; 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

In the current era of information technology, data or information is a very valuable asset and must be protected. The IT Baseline Protection Manual provides an effective way of analyzing threats and ways to secure data through a Maturity Level measurement process. This method is applied by the German government to regulate information technology audit standards. In this method there is an audit module in the employee area to analyze how well the application of information technology by employees in an agency. An information technology audit at the Badung Regency Communication and Information Department aims to measure the maturity level of employees in applying information technology using the domains available in the IT Baseline Protection Manual. The audit phase starts from the case study survey, the IT Baseline Manual Protection domain selection and gets the results of the questionnaire which is a measure of maturity level by evaluating using Maturity Level. The Maturity Level figures obtained from the audit of the application of information technology to employees using the IT Baseline Protection Manual domain which is equal to 3.43. The results show that the maturity level of the process of applying information technology to employees at the Communication and Information Department of Badung Regency is at Level 3 (Defined), namely there are already good IT process standards in the entire scope of the organization but could be increased to the maximum.
Analysis of Apriori Algorithm on Sales Transactions to Arrange Placement of Goods on Minimarket Putu Bagus Indra Sukadiana Putra; Ni Putu Sri Merta Suryani; 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

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Abstract

In the business world, business development is a veryimportant factor to be reckoned with. This is done in order toalways survive in the competitive world of business. Improvingproduct quality, adding product types and reducing the company'soperating costs are some things that can be done in order tosurvive in the competition. The thing that can be done to meetthose needs is to perform sales transaction data analysis usingData Mining. One of the Algorithms that belongs to an associationin Data Mining that matches is the Apriori Algorithm. A priorialgorithm aims to find frequent item sets in a set of data. A priorialgorithm defined a process to find a priori rules that meetminimum requirements for support and minimum requirementsfor confidence. This research seeks to develop a business strategyof placement of groceries that is adjusted to the consumerconsumption pattern in minimarket. Thus, the arrangement ofmerchandise can be adjusted with the rules of association to fit thepattern of consumer consumption.
Analysis of Data Mining for Forecasting Total Goods Delivery with Moving Average Method M. Azman Maricar; Putu Widiadnyana; I Wayan Arta Wijaya
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

In the logistics and distribution of goods, the expedition service is necessary, because the expedition is an important part of a business that has a strong attachment to the distribution. The number of deliveries from an expedition per period is uncertain, sometimes the number increases or decreases. This may result in an imbalance between existing facilities and employees and the number of shipments from customers or company policies. To overcome this, required forecasting techniques that are able to predict total shipments, as well as predict which goods and products are the most widely sent. The moving average method using the last 5 period data is used as a way of forecasting. MAPE (Mean Absolute % Error) is used as a test method, and a result of 34 %, indicates that the method is feasible to use.
Surface Modification of Microfiltration Polypropylene Membrane for Molecular Air Filtration A.A.I.A.S Komaladewi; PTP Aryanti; I D G Ary Subagia; I W Surata; I G Wenten
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

Microfiltration polypropylene (MPP) membrane has increasingly been used in separation processes due to its good chemical and mechanical stability, high selectivity to submicron particles, and low cost. In this paper, the MPP membrane was modified by coating the surface with a composite polysulfone (PSf)/PEG400/ZnO layer. Then, the modified MPP membrane was used for fine particle removal from air. Performance of modified MPP membrane as a function of polymer and ZnO nanoparticles (ZnO-NPs) concentration in coating solution, and coating time, was investigated. The SEM image showed that the presence of ZnO-NPs in polymer solution generated macrovoids in the coating layer. Permeate flux decreased with increasing polymer and ZnO-NPs concentration, but the flux increased with increasing coating time. Meanwhile, fine particle removal efficiency increased with the increase of operating pressure. A stable air flux of 19 L m-2 h-1 was obtained at ZnO-NPs concentration of 3 wt.%. The removal efficiency of PM1, PM2.5, and PM10 at operating pressure of 2 bar were 70%, 74%, and 70%, respectively.
Bussines Intelligent in Telemarketing Using SVM Putu Agung Ananta Wijaya; Komang Budiarta; Made Sudarma
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

Direct marketing provides an advantage in approaching consumers. Communication that happens allows us more closely, able to change the behavior and know the needs required by consumers accurately. But this technique has a lack of time. It takes a long time to convince consumers to buy the products offered. Bussines intelligent with data mining approach to consumer data is required. This process will analyze the potential possessed by a consumer. At the stage of the DSS used SVM method to predict whether consumers will buy products that have been offered. Bussines intelligent built proven able to predict consumers who have the potential to buy products. Tests show the greatest prediction accuracy rate is 89.5% with a combination of data traning of 70% of the dataset.
Classification of Data Mining with Adaboost Method in Determining Credit Providing for Customers I Gusti Ngurah Agung Surya Mahendra; Ida Bagus Leo Mahadya Suta; Made Sudarma
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

Credit is the provision of funds for lending and borrowing transactions with the agreement and agreement between the bank or financial institution and its customers, and requires the borrower to pay the debt within a certain period of time and provide services. Crediting is done by identifying and assessing factors that influence credit risk. The loss of income and the threat of profitability are things that need to be wary of lending. Data mining classification can be used to help credit analysts in determining lending to customers. The classification process is carried out to obtain determinant attributes. The results of the classification process are evaluated using the adaboost method and testing using weka to obtain cross validation, confusion matrix to determine the most accurate classification in determining credit for cooperative customers
Decision Support System Terms of Credit Loans using Analytical Hierarchy Process Method (AHP) (Study Case: LPD Temesi Village) Dewa Ayu Putri Wulandari; Agus Anwar Eka Wahyudi; I Wayan Rinas
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 credit distribution is one of product of crediting of foundation that very helping for the citizens in increasing the economic. Credit matter foundation is one of institution citizen in which focusing economic field villagers that have functions shelter and help people of village dealing the financial. Being the institution of credit matter in villages the citizen can propose or ask loan credit of money with keep showing some criterion that as way in requirement of propose the credit. To make easier selective process and to achieve the result of objective score so it is needed a supporting system in taking decision where it can help to take decision. The steps of analytical hierarchy process (AHP) namely the making of matrix comparison couple criteria by using scale of AHP, determine comparison matrix, determine the value Eigen vector, determine the maximum of Eigen score, determine the consistence index score and ratio, and doing the normalization the value of score Eigen vector. The next, the heavy of score analytical hierarchy process will be timed with the heavy that having given by the taker decision, where the final score is total value that determining who is the candidate of customer who have rightful authority receiving the loan credit.
ANALYSIS EFFECT OF LEACHATE ON SANDY CLAY SOIL I Nyoman Aribudiman; I Wayan Redana; Kadek Diana Harmayani; Yenni Ciawi
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

Soil as a place of establishment of building can be very vulnerable to experiencing changes, especially by the influence of surrounding environment. Leachate has definition of waste water that formed from waste seepage water roomates is Often found in a dumpsite. The difference in the effect of leachate levels on soil characteristics soil changes may results. The aim of the research is to know the effect of leachate on soil characteristic in landfill Temesi, Gianyar. This is at the sampling site Because there is untreated leachate pollutes soil roomates around dumpsite. In testing the soil characteristics in the form of physical properties, mechanical properties, and soil permeability, the sample collected from the landfill leachate Temesi and determined by level variations with a percentage of 0%, 20%, 40%, 60%, 80% and 100% to water added to sandy clay soil with Atterberg limits test to Obtain Data on soil physical properties in the form of liquid limit values, plastic limits, and shrinkage limits. The CD (Consolidated Drained) triaxial tests to Obtain Data on soil mechanical properties in the form of cohesion values (c) and internal friction angle (?). The test was Carried at Soil Mechanics Laboratory of the Faculty of Engineering Udayana University. The result of Atterberg limits test with 0% to 100% leachate Increased by 39.91% to 57.18% for liquid limit, 22.81% to 43.63% for plastic limit, and 34.23% to 50.41% for shrinkage limit with average increase of 8.65% for liquid limit , 18:26% for plastic limit, and 9:45% for shrinkage limit. For the result of CD triaxial tests with 0% to 100% leachate Decreased by 5.6 ° to 12.2 ° internal friction angle (?) and 0. 349 kg/cm2 to 0249 kg/cm2 for cohesion values (c) with average decline 10.82% for internal friction angle (?) and 5.73% for cohesion value (c). The permeability value with 0% to 100% leachate Decreased by 0.000163 cm/seconds to 0.000075 cm/seconds with average decline 10.79%.

Page 11 of 20 | Total Record : 197

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