Jurnal EECCIS
EECCIS is a scientific journal published every six month by electrical Department faculty of Engineering Brawijaya University. The Journal itself is specialized, i.e. the topics of articles cover electrical power, electronics, control, telecommunication, informatics and system engineering. The languages used in this journal are Bahasa Indonesia and English.
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<![CDATA[Diagnosis Kondisi Transformator Berbasis Analisis Gas Terlarut Menggunakan Metode Sistem Pakar Fuzzy ]]>
<![CDATA[Gatut Yulisusianto]]>;
<![CDATA[Hadi Suyono]]>;
<![CDATA[Rini Nurhasanah]]>
<![CDATA[ Jurnal EECCIS Vol 9, No 1 (2015) ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Brawijaya ]]>
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<![CDATA[Dissolved gas analysis of transformer oil is one of the most effective ways to determine the transformer condition. Currently, there are many interpretation techniques that have been used in data processing of dissolved gas analysis results. However, all of the techniques used are rely based on the experience of experts who have conducted research by using the results of dissolved gas analysis. The combination of expert system and fuzzy to diagnose the dissolved gas analysis data to identify the condition of the transformer is discussed in this paper. The data used for this research is collected from several different transformers and then interpreted by using a standard methods and fuzzy expert systems, and the results are compared. From several experiments show that fuzzy expert system is more effective to identify a transformer failure.Keyword---DGA, Dissolved Gas Analysis, Fuzzy Expert System, TDCG.]]>
<![CDATA[Evaluasi dan Perencanaan Pengembangan Sistem Jaringan Listrik Kampus Politeknik Negeri Ambon ]]>
<![CDATA[Pieter S. Tatipikalawan]]>;
<![CDATA[Wijono Wijono]]>;
<![CDATA[Rini Nur Hasanah]]>
<![CDATA[ Jurnal EECCIS Vol 9, No 1 (2015) ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Brawijaya ]]>
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<![CDATA[This paper discusses the evaluation of the electrical system at the Polytechnic of Ambon. Problems arise when this is a very poor network conditions that supply to each building. In some buildings often have on limiting current trip. This occurs because the addition of the load from time to time but was not followed by changes in installations that meet the standards. Evaluation is done with the help softwaare Docwin and Matlab. These include standardization of electrical networks, voltage profile, the data load and network installation. Evaluation results show that the current network conditions is not feasible and over load. Improvements to the current network is also proposed in this paper, because the proposal to be considered in the planning of the electrical network repair Polytechnic Campus Ambon in the future.Index Terms — Evaluation, planning, electric network System, Polytecnic of Ambon, DocWin and Matlap.]]>
<![CDATA[Peramalan Beban Jangka Panjang Sistem Kelistrikan Kota Palu Menggunakan Metode K Logika Fuzzy ]]>
<![CDATA[Masarrang, Maryantho]]>;
<![CDATA[Yudaningtyas, Erni]]>;
<![CDATA[Naba, Agus]]>
<![CDATA[ Jurnal EECCIS Vol 9, No 1 (2015) ]]>
Publisher : <![CDATA[Jurusan Teknik Elektro, Fakultas Teknik, Universitas Brawijaya ]]>
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<![CDATA[Long-term load forecasting is intended to estimate the electrical load on an annual time period. It has an important role in the real control and security functions of an energy management system. This study is focused on designing long-term load forecasting in Palu electrical systems by using mamdani fuzzy logic method. The process of long term load forecasting is done by providings inputs; the number of customers, PDRB, and the power used for residences, businesses and public load at the previous year into the fuzzy logic system so that it is produced an output: the power used for the next year. The shows that mamdani fuzzy logic provide high level accuracy of forecasting and very small value of MSE.Index Terms:- fuzzy logic, MSE value, number of consumers, PDRB, the power used]]>
<![CDATA[Peramalan Beban Jangka Panjang Sistem Kelistrikan Kota Palu Menggunakan Metode K Logika Fuzzy ]]>
<![CDATA[Maryantho Masarrang]]>;
<![CDATA[Erni Yudaningtyas]]>;
<![CDATA[Agus Naba]]>
<![CDATA[ Jurnal EECCIS Vol 9, No 1 (2015) ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Brawijaya ]]>
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<![CDATA[Long-term load forecasting is intended to estimate the electrical load on an annual time period. It has an important role in the real control and security functions of an energy management system. This study is focused on designing long-term load forecasting in Palu electrical systems by using mamdani fuzzy logic method. The process of long term load forecasting is done by providings inputs; the number of customers, PDRB, and the power used for residences, businesses and public load at the previous year into the fuzzy logic system so that it is produced an output: the power used for the next year. The shows that mamdani fuzzy logic provide high level accuracy of forecasting and very small value of MSE.Index Terms:- fuzzy logic, MSE value, number of consumers, PDRB, the power used]]>
<![CDATA[Klasifikasi Kendaraan Menggunakan Gaussian Mixture Model (GMM) dan Fuzzy Cluster K Means (FCM) ]]>
<![CDATA[Fitroh Amaluddin]]>;
<![CDATA[M. Aziz Muslim]]>;
<![CDATA[Agus Naba]]>
<![CDATA[ Jurnal EECCIS Vol 9, No 1 (2015) ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Brawijaya ]]>
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<![CDATA[This paper describes how to record a moving object and save as new video files (* .avi), then filtering the moving objects (Vehicles) by using a Gaussian Mixture Model (GMM) with 2 types of distribution, i.e. Bacground and Foreground distribution. The shape of the foreground distribution is filtered by morphological operations and segmented by using Bit Large Object (BLOB) Segmentation to get the vehicle dimensions. Feature extraction results of these vehicles, will be used as data cluster for vehicles classification by using Fuzzy Cluster Means (FCM). Resulting experiments show good results with 91.3% of accuracy rate.Index Terms—GMM, BLOB, FCM, Classification.]]>
<![CDATA[Multiple Intelligence Menentukan Jurusan di SMA Menggunakan Teknik Multi-Attribute Decision Making ]]>
<![CDATA[Moh. Ahsan]]>;
<![CDATA[Purnomo Budi Santoso]]>;
<![CDATA[Harry Soekotjo Dachlan]]>
<![CDATA[ Jurnal EECCIS Vol 9, No 1 (2015) ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Brawijaya ]]>
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<![CDATA[Decision Support System is an application that can assist students in determining the direction in senior high school (SMA) based on Multiple Intelligence tests using techniques MADM (Multiple-Attribute Decesion Making) by the method of Simple Additive Weighting (SAW) and Analytic Hierarchy Process (AHP). Multiple Intelligence is used to determine the intelligence possessed by the students based on test results. The input of this system is the student academic data, questionnaire specialization, psychologists and test data is Multiple Intelligence.The results of analysis system showed that the most influential factor in determining of the majors based on interest is the interest of students, academic grades, test psychologist and wishes of parents. The recommendations manual majors only based on the value of report cards, grades National Examination and Intelegent Quotient scores. Accuracy in the calculation of the value system based SAW method has an accuracy of 80% according to the student's choice. While the decision by the AHP method has an accuracy of 30% in accordance with the student's choice.Index Terms —Multiple Intelligence, Multi-Attribute Decision Making, Simple Additive Weighting Method and Analytic Hierarchy Process.]]>
<![CDATA[Model Average Based FTS Markov Chain untuk Peramalan Penggunaan Bandwidth Jaringan komputer ]]>
<![CDATA[Junaidi Noh]]>;
<![CDATA[Wijono Wijono]]>;
<![CDATA[Erni Yudaningtiyas]]>
<![CDATA[ Jurnal EECCIS Vol 9, No 1 (2015) ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Brawijaya ]]>
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<![CDATA[Abstract—This paper discusses the problem of modeling the computer network bandwidth usage forecasting using averages based-fuzzy time series (FTS) are developed with a combination of Markov chains. This forecasting model development aims to get better forecasting results, especially regarding the accuracy of forecasting. Development of methods is done by inducing Markov chain method with mathematical rules and applied at a particular stage. The development model is applied to forecast traffic data bandwidth usage on a computer network. The results show that the average based FTS forecasting model with the addition of a Markov chain has a value of forecasting accuracy better than average based FTS method, with the percentage increase in average accuracy of 41.590%, if the prediction error calculation using the average difference MSE and amounted to 30.348%, if the forecasting error calculation using the average difference MAPE. With the expected results of this innovation can be applied to the management traffic bandwidth on the network computer.Keywords— Method development, average based FTS, Markov chain, bandwidth usage.]]>
<![CDATA[Pengembangan Game Content Model Untuk Game-Based Learning Pemahaman Berlalu-Lintas ]]>
<![CDATA[Riska Nurtantyo Sarbini]]>;
<![CDATA[Purnomo Budi S.]]>;
<![CDATA[Onny Setyawati]]>
<![CDATA[ Jurnal EECCIS Vol 9, No 1 (2015) ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Brawijaya ]]>
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<![CDATA[This paper describes the application of the Game Content Model (GCM) in Role Playing Games (RPG) for the understanding of the traffic using a quest-driven learning. One key GCM models, namely the Game Object with intelligence component was applied using dynamic pathfinding capabilities of artificial intelligence in non playable character (NPC). NPC used the A * algorithm as the basis of the nearest search capability to the target.Index Terms—Game,GCM,RPG,A* Algorithm]]>
<![CDATA[Perencanaan Sistem Interkoneksi Jaringan Listrik Kabel Bawah Laut di Propinsi Maluku ]]>
<![CDATA[Johanis Tupalessy]]>;
<![CDATA[Rini Nur Hasanah]]>;
<![CDATA[Hadi Suyono]]>
<![CDATA[ Jurnal EECCIS Vol 9, No 1 (2015) ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Brawijaya ]]>
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<![CDATA[Power system stability analysis is required to determine the performance of a power system. In this paper an analysis is performed on the interconnection system of Ambon, Haruku, and Saparua islands in Maluku region of Indonesia. The analyses in this research include load-flow analysis, steady-state and transient stability analysis, rotor angle, frequency and voltage stability during fault conditions, both before and after the interconnection. Critical clearing time has been analyzed to determine the system performance after a fault interruption. Results of steady-state stability analysis show a voltage profile improvement of 1.163%. The results also show that after interconnection better condition of rotor angle, frequency and voltage, and faster recovery time are obtained. Critical clearing time after interconnection is 0.58 seconds longer than before the interconnection.Index Terms—Interconnection, voltage profile, load flow, system stability.]]>
<![CDATA[Pemilihan Pemasok Bahan Mentah pada Restoran Menggunakan Metode Fuzzy Analytical Hierarchy Process ]]>
<![CDATA[Elta Sonalitha]]>;
<![CDATA[M. Sarosa]]>;
<![CDATA[Agus Naba]]>
<![CDATA[ Jurnal EECCIS Vol 9, No 1 (2015) ]]>
Publisher : <![CDATA[Fakultas Teknik, Universitas Brawijaya ]]>
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<![CDATA[Production in the restaurant is a continuous production that must be provided with uncertain request based on the consumer demand. Availability of raw materials is preferred to support the production process. In purchasing management it is often difficult to choose the right supplier of raw materials for each process order. The purpose of this research is to implement the method of Fuzzy Analytical Hierarchy Process (FAHP) in the Decision Support System (DSS) purchase of raw materials to suppliers. The addition of fuzzy logic in AHP is used to enhance the accuracy of subjectivity in the process of purchasing management assessment for each criteria and alternatives.The analysis includes a comparison with the results of manual calculations based SPK FAHP and accuracy of the final system with expert recommendations for the management of the purchase order process of DSS.The results showed an increase in profit of the accuracy of the selection of suppliers restaurant using FAHP method compared with the manual method. The analysis shows a significant difference when applied to the same material, fixed price of each supplier but different number of purchases, able to provide the difference in price which means lower costs and increase profits purchase.Index Terms — DSS, FAHP, Supplier Management, Order Management, Raw Material, FAHP.]]>
