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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 649 Documents
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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.
Design and Implementation of MPC for Energy Optimization of Boiler in Batch Distillation Column Handy Harjamulya
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.v6.1985

Abstract

A competency in the industrial world depends on several aspects, that is cost, delivery, flexibility, and quality. The smart industrial system / Smart Manufacturing System (SMS) tries to improve those aspects using the latest technology that encourages the use of digital information widely and quickly in industrial systems. Development of SM in industry 4.0, pushing the change of industrial pyramids into CyberPhysical System (CPS). CPS has begun to be applied widely in process industries nowadays, i.e., distillation process industry. In distillation process, boiler has the important role to separate 2 different components using the difference of its boiling point. In this paper, the alcohol distillation plant is used to purify 30% of alcohol solution. The modelling of boiler, simulation, and implementation of boiler control system are presented to get the desired temperature. The temperature reference is roughly 85 oC. Predictive Model Controller (MPC) and Kalman Filter is proposed to control the temperature of boiler by adjusting the PWM of on-off time and to deal with the disturbance and sensor noise. The IAE, ISE, and ITAE is analyzed to obtain the error of control system and energy usage per operation is also calculated to find out the effect of MPC controller in energy optimization
Performance Analysis of SM-MISO with Q-CSIT in Wireless Sensor Network Subuh Pramono; Muhammad Ibrahim; Feri Adriyanto; Alfin Hikmaturokhman
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.v6.1986

Abstract

In this paper, we investigate the role of Q-CSIT in SM-MISO for wireless sensor networks system. The SN are connected to the CH, it is modeled as a MISO system. Spatial modulation has an advantage over a conventional MIMO system which does not require multiple radio frequency chains as many as the number of transmit antennas. The Q-CSIT is aimed to estimate the faded wireless channel with a limited/finite number of bits. The finite number of feedback bits trigger the SN adapt automatically its AMC modes. Adaptation of the AMC modes causes a changing of transmit power and transmission rate, these changes will make a better probability of error. The numerical results show that bigger the number of feedback bits yields better SER. Furthermore, lower spatial correlation generates a better probability of error. The last, quality of wireless channel that is stated in SNR also dominantly influences the performance of SM – MISO system.
Maximum Power Point Tracking in PV Arrays with High Gain DC-DC Boost Converter Arsyad Cahya Subrata; Tole Sutikno; Sanjeevikumar Padmanaban; Hendril Satrian Purnama
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.v6.1987

Abstract

Photovoltaic (PV) system is an electricalgenerator that has been widely used. Ease of implementation,supported by a large number of potentials and needs of GreenEnergy, has become a factor in the increasing number andquickly applied to PV arrays. However, PV arrays haveconstrained related to generator conversion efficiency and theamount of power produced due to inconstant irradiation andtemperature. This problem can be solved by a MaximumPower Point Tracking (MPPT) approach. This article discussesthe MPPT technique with High Gain DC-DC Boost Converterusing the Perturb and Observe (P&O) algorithm. The sameP&O algorithm is also tested in the conventional converter toshow performance and superiority of each converter. Theresults obtained show the advantages and disadvantages ofeach converter used in MPPT by P&O algorithm.
Sugar Production Forecasting System in PTPN XI Semboro Jember using Autoregressive Integrated Moving Average (ARIMA) Method Januar Adi Putra; Saiful Bukhori; Faishal Basbeth
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.v6.1988

Abstract

There is a lot of entrepreneurial competition in the production of goods or services in the world, especially in Indonesia, especially the production of staple goods, namely sugar. The problem that is often faced at Sugar Factory PTPN XI Semboro Jember is the lack of management that is neatly organized and efficient, which makes this company less working optimally. Often there is a lack and excess of sugar production which makes the sugar does not have the maximum value, the sugar has been damaged, and sales at a reduced price because the sugar is not as efficient as the initial product. From these various problems, it can reduce profits from the company. From these problems it can be concluded that the company needs a system that can organize the management of the company, and is able to forecast production in the future. In this research will make a forecasting system using the method of Autoregressive Integrated Moving Average (ARIMA), where this method is divided into three methods, namely the Autoregressive (AR) method, the Moving Average (MA) method, and the Autoregressive Integrated Moving Average (ARIMA) method, which preceded by checking stationary data, and modeling the Autoregressive Integrated Moving Average (ARIMA) method. Forecasting is done using production data for the previous 12 years from the company. The system is made to facilitate management that is less organized and displays predictions for the next production period. The results of this forecasting system are to determine the amount of production each year needed in this company. From the results of the ARIMA method modeling, the right ARIMA method is obtained by the ARIMA / AR (1,0,0), ARIMA / MA (0,0,1), and ARIMA (1,0,1) methods. The test results found that the average value of Mean Absolute Percentage Error (MAPE) in the Autoregressive (AR) method was 17%, the Moving Average (MA) method was 19%, and the Autoregressive Integrated Moving Average (ARIMA) method was 15%.
Analysis and Development of Information Security Framework for Distributed E-Procurement System Sugianto Sugianto
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.v6.1989

Abstract

This paper proposes an information security framework for distributed E-Procurement system in Indonesia. E-Procurement in Indonesia has been implemented since 2008, and has provided many benefits. However, there are also information security issues in the use of IT. Developing an information security program is needed to overcome the issues. We compare and analyze the LPSE and ISO 27001 Standards to develop framework. The results show there are some gaps between LPSE Standard and ISO 27001. By implementing the proposed framework, LPSE as a provider of distributed EProcurement system can be easier to implement the LPSE and ISO 27001 Standards simultaneously as an obligation to comply with government regulations
Anomaly Detection and Data Recovery on Mini Batch Distillation Column based Cyber Physical System Wedar Panji Mardyaningsih; Pranoto Rusmin; Budi Rahardjo
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.v6.1990

Abstract

The development of industrial revolution 4.0 in industrial sector opened a cyber gap for outsiders to pose a threat to the system. Industrial control systems initially designed to meet SRA (Safety, Reliability, and Availability) priorities are now beginning to be pressed to consider security aspects related to the magnitude of the impact that can be caused due to external attacks. In making a safe Cyber Physical System (CPS) based automation, risk assessment will be used to determine the level risk of threat. Mini distillation column batch based CPS will be implemented as the approach of CPS in industrial sector. Anomaly detection based data-driven model and data recovery method is proposed to lower the impact of attack on this system.

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