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Proceeding of the Electrical Engineering Computer Science and Informatics
Published by Institute of Advanced Engineering and Science
ISSN : 2407439X     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, students, engineers and practitioners together to participate and present their latest research finding, developments and applications related to the various aspects of electrical, electronics, power electronics, instrumentation, control, computer & telecommunication engineering, signal processing, soft computing, computer science and informatics.
Arjuna Subject : -
Articles 85 Documents
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Search results for , issue "Vol 6: EECSI 2019" : 85 Documents clear
Line Detection Using Arranging Coordinate Point Method Rumaisa Ramadhani; Arief Syaichu Rohman; Yulyan Wahyu Hadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1975

Abstract

Line detection system is a system line that canrecognize the line mark painted on the road. This is one of thedigital driver assistance tools that improve driving safety. Thevideo streaming captured using a camera which is installed infront of the vehicle as the input system will detected the line byusing the Arranging Coordinate Point Algorithm. The systemwill provide the correction value of the vehicle distance from thecenter of the road and guide the driver to stay on the track.Based on the experiment result, the system could detect astraight and curved line. The line is well detected by the systemin good condition such as less of noise of the road, good weather,and clear lane line. The system has a computational process0.0625 fps with average error calculation of position from thecenter of the road is 0.0992 m and standard deviation is 0.62448m.
Decision Support System with Simple Additive Weighting for Recommending Best Employee Painem Painem; Hari Soetanto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1976

Abstract

Human resources are significant assets in an organization. To increase work motivation for employees, various strategies are needed, such as giving rewards to employees who excel, giving sanctions to employees who break the rules and training employees. Rewarding for employees at Universitas Budi Luhur (UBL) is still based on the subjective assessment of the leadership. Determination of employees who perform well also has not been based on standard criteria or assessment. Therefore, in this study, a decision support system was developed to conduct the best employee assessment and selection. This study uses the Simple Additive Weighting (SAW) method. The SAW method was chosen because it was able to select the best alternative from several alternatives. Determination of the best employees using nine criteria, namely discipline, appearance, achievement, interpersonal skills, the ability to provide input, does not cause problems, ability to cooperate, coordination skills, and motivating abilities. The test results using the ISO-9126 model for web-based DSS applications developed in this study indicate that the quality of applications is 81%, which means that the criteria are excellent.
An Android-based Hoax Detection for Social Media Harrizki Arie Pradana
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1977

Abstract

Hoax is defined as a try to convince any readers to believe particular deception. A news frequently spreads on social media. Hoaxes news is engineered to meet a personal purpose and caused by predefined factors. In Indonesia, one of the top discussions is about hoax news related to natural disasters spread through social media. Some people have been sentenced to jail because of making and spreading hoax news. To date, the internet community is unable to distinguish hoax news from the actual news. This is because there is no available tool to detect hoaxes. Therefore, this paper propose an initiative to have a hoax detection application in Android-based devices by using the web scraping technique to extract data downloaded from the inputted URL with a simplified interface. The retrieved data are optimized by utilizing Nazief-Adriani stemming algorithm and analyzed by using Rabin-Karp algorithm
Hybrid Improved Differential Evolution and Splinebased Jaya for Photovoltaic MPPT Technique Khusnul Hidayat; Rini Nur Hasanah; Hadi Suyono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1978

Abstract

Some Soft Computing algorithms to solve themaximum power point tracking (MPPT) method problem ofthe photovoltaic system under partially shaded conditions willstop tracking Global Maxima and produce reference voltage orthe best duty-cycle if the difference between the worst and thebest candidate solution is smaller than the specified threshold.A large threshold value will produce fast converging, but theaccuracy value will be low, and vice versa, then thedetermination of the threshold value will be very dilemma.Therefore, this study proposed a combination of ImprovedDifferential Evolution (IDE) and Jaya optimization based onpredictive curves using cubic spline interpolation to determinethe best particles after the IDE reaches convergent criteria, sothat with a large threshold value it will still get high accuracyand high convergent speed. Furthermore, the algorithmproposed in this study is known as Improved DifferentialEvolution and Jaya Based Spline (IDESJaya). The proposedalgorithm is compared with conventional P&O, Jaya based onSpline, and IDE. Simulation results show that the IDESJayatechnique is faster converging, provides a better overalltracking efficiency and higher accuracy.
Optimization Info Rate Using APSK Modulation Scheme for Delivery GSM ABIS over Satellite Communications Hillman Damanik; Merry Anggraeni
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1979

Abstract

Mobile operators move quickly from 2G GSM networks in urban areas to remote rural areas, which are 2G networks by offering voice connectivity. As a result, more and more technology is optimizing cellular operators that reduce and perform bandwidth efficiency that will be implemented. The optimization solution for this cellular operator produces voice communication on GSM, in a cost-effective application for satellites. This paper discusses and applies to creating GSM links via satellite communication. The ABIS interface on GSM, which is defined between the Base Transceiver Station (BTS) of GSM remote cells and the Base Station Controller (BSC), is considered here to be transferred via GSM communication with the Modulation and Coding scheme 16 APSK 5/6. The MODCOD scheme determines the efficiency of what MHz is needed to send one Mbps. The efficiency value achieved by allocating, bandwidth (MHz) generated by 1.0 Mhz is an efficiency of 3.222 [bit / baud]. And Info Data Rate is generated from the value (Mbps) of 3,175. The highest traffic intensity with the value of Traffic Volume (Hours) = 3.5, Traffic Intensity (Erlang) 0.145833333. While the lowest traffic intensity with the value of Traffic Volume (Hour) = 2.6, traffic intensity = 0.108333333 (Erlang). The value obtained on Traffic Volume and Traffic Intensity is 0.1%. Service levels are very good at grade of service, because of the small possibility of access fail. Calculation of the availability of link network availability links, using ACM 16APSK LDPC 5/6 techniques that can increase up to 100%.
Optimized Fuzzy Backpropagation Neural Network using Genetic Algorithm for Predicting Indonesian Stock Exchange Composite Index Anwar Rifa’i
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1980

Abstract

Investment activities in the capital market have the possibility to generate profits and at the same time also cause losses. The composite stock price index as an indicator used to determine investment continues to change over time. Uncertainty of stock exchange composite index requires investors to be able to make predictions so as to produce maximum profits. The aim of this study is to forecast the composite stock price index. The input variables used are Indonesia interest rates, rupiah exchange rates, Dow Jones index, and world gold prices. All data obtained in the period from January 2008 to March 2019. Data are used to build the Fuzzy Backpropagation Neural Network (FBPNN), model. The weight of FBPNN model was optimized using Genetic Algorithm then used to forecast the composite stock price index. The forecasting result of the composite stock price index for April to June 2019 respectively were 5822.6, 5826.8, and 5767.3 with the MAPE value of 8.42%. These results indicate that Indonesia interest rates, rupiah exchange rate, Dow Jones index, and the gold price are the proper indicators to predict the composite stock price index.
Fractals Study and Its Application Setyawan Widyarto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1981

Abstract

The overall of this paper is a review of fractal in many areas of application. The review exposes fractal definition, analysis, and its application. Most applications discussed are based on analysis from geometric and image processing studies. Patterns of some fractals will be discussed. Some simulation results are supplied to illustrate the discussion. Simulation resulted are from various software and tools. Some principles of fractals with informative patterns have been simulated. Whereas the simulations could support some recommendations for prospective purposes and applications. The prospective application may help in predictive pattern of many fields. The predictive pattern will lead to pattern control and pattern disruptions.
Gesture recognition by learning local motion signatures using smartphones Prachi Agarwal; Sanjay Kumar Sonbhadra; Sonali Agarwal; P. Nagabhushan; Muhammad Syafrullah; Krisna Adiyarta
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1982

Abstract

In recent years, gesture or activity recognition is an important area of research for the modern health care system. An activity is recognized by learning from human body postures and signatures. Presently all smartphones are equipped with accelerometer and gyroscopes sensors, and the reading of these sensors can be utilized as an input to a classifier to predict the human activity. Although the human activity recognition gained a notable scientific interest in recent years, still accuracy, scalability and robustness need significant improvement to cater as a solution of most of the real world problems. This paper aims to fill the identified research gap and proposes Grid Search based Logistic Regression and Gradient Boosting Decision Tree multistage prediction model. UCI-HAR dataset has been used to perform Gesture recognition by learning local motion signatures. The proposed approach exhibits improved accuracy over preexisting techniques concerning to human activity recognition.
MPPT System Using Incremental Conductance for Solar Cell in Normal and Partial Shading Conditions Pramudya Widyantoro; Rummi Sirait; Akhmad Musafa
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1983

Abstract

In this research, MPPT (maximumpower point tracking) system has been created onsolar cells to get maximum power from solar cells.The designed system consists of 200 watt solar cells,voltage sensors, current sensors, microcontroller, DCDCconverter,andresistiveloads.TheMPPTsystem created uses incremental conductance algorithm toset the switching duty cycle on the DC-DC converter,with input parameters in the form of ΔV and ΔI toproduce maximum power. This system is tested onsolar cells with normal or partial shading conditionsand under conditions of shadow-covered solar cells of8%, 16%, 30%, 41% and 50% with a load of 10 Ohm,25 Ohm, and 35 Ohm. The results obtained that theMPPT system can stabilize the output power of solarcells both under normal and shadow conditions andare able to maintain output power when there is achange in input power with the maximum efficiencyof the MPPT system at a load of 10 Ohm of  78,38%with a standard deviation at the input power of 12,68and standard deviation at output power of 7,74.Maximum efficiency at 25 Ohm load of 80,23% withstandard deviation at input power of 3,59 andstandard deviation at output power of 2,90.Maximum efficiency at 35 Ohm load is 82,7% withstandard deviation at input power of 4,14 andstandard deviation at output power of 3,29.
Fuzzy Logic Implementation For Incubator Prototype With Temperature And Humidity Control Arief Marwanto; Kuat Supriyadi; Suryani Alifah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 6: EECSI 2019
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v6.1984

Abstract

Premature infant and young baby born with lowbody weight has potential to be in high risk and criticalcondition to survive. Medical equipment functioned as uterineis required, so the infant will have the similar condition as inthe womb of its mother. There is a need to control surroundingtemperature, humidity, oxygen supply, sound and light level tosupport the development of the infant's weight. Infants withlow weight have possibility to feel cold and have body heat loss.The use of additional supporting equipment such as incubatoris absolutely necessary and vital to create a stable surroundingenvironment for infant to keep the body temperature in rangeof normal and relatively constant value. In this paper, thefuzzy logic is implemented as the role of controller for anincubator equipped with temperature and humidity sensor.The propossed incubator prototype was tested in DR. SardjitoHospital, Yogyakarta Indonesia. The experiments showedprospected results to get a stable temperature and humiditywhich are suitable for premature baby.

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