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Proceeding of the Electrical Engineering Computer Science and Informatics

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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.

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Articles 140 Documents

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Search results for , issue "Vol 4: EECSI 2017" : 140 Documents clear

The Onion Routing Performance using Shadow-plugin-TOR Hartanto Kusuma Wardana; Liauw Frediczen Handianto; Banu Wirawan Yohanes
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Anonymous network provides user privacy to protect identity. The onion routing (TOR) project is one kind of Internet anonymous networks which attracts many researchers and clients nowadays, because of its simplicity and scalability. However, there are some difficulties to analyze TOR performance within live TOR networks since it is distributed and its security nature. This paper presents a TOR network simulation using shadow-plugin-TOR to configure a small scale virtual computer network within a host, running TOR, and then to analyze TOR performance in several measurements. One main advantage is that the shadow-plugin-TOR application can be implemented within a host in which used to build a client-server architecture of TOR network. Various number of relays and clients have been set to examine TOR network performance. The small scale simulations conducted using maximal CPU capacity between 60%–75% and memory (RAM) usage between 320 MiB– 1.5 GiB for each configuration. The simulation results show that average transmission time is shortened and bandwidth is faster along with increasing number of relay rather than adding more client.

Position Tracking for Static Target using Burst Signals with Time Difference of Arrival Method Romi Wiryadinata; Alia Shaliha Amany; Imamul Muttakin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Time difference of arrival (TDOA) is one of transmitter tracking method to find location or position based on the difference of arrival signals from transmitter to receiver in time domain. This work aims to find the position of a transmitter using TDOA method. Operating frequency used is amateur radio 144.100 MHz for sending and receiving burst signal. Time difference is calculated by using cross correlation function. Output parameters are distance and coordinate of Tx toward Rx. The transmitter position is calculated by hyperbolic and trigonometry equations, giving distance error of 30.49%. Further improvement would require two or more tracking position methods in order to obtain more accurate value.

Performance Analysis for MIMO LTE on the High Altitude Platform Station Catur Budi Waluyo; Yenni Astuti
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

High Altitude Platform Station (HAPs) is a new communications infrastructure that uses air balloon to carry high data rate service and wide bandwidth. One technique to make it happen is Long Term Evolution (LTE), LTE support capacity increasing, expand coverage area, data rate increasing, multi- antenna, and can be integrated with other systems. To improve the performance of LTE in capacity building, coverage area, and data rate, it can use the multi-antenna techniques both on receiver or transmitter or often called multiple input multiple outputs (MIMO). Type of MIMO technique in this paper is spatial Multiplexing. In this study, an estimation that has been used is the Linear Minimum Mean Square Error (LMMSE). Channel estimation is used to find out information about the channel condition between the transmitter and the receiver so that the performance of Bit Error Rate (BER) increase and expand the coverage area of the same BER compared without estimation. The system performed channel estimation has a better performance than the without estimation system with improved SNR of 20dB. Based on the simulation to get the same BER value in the system with channel estimation and without estimation, on the system with estimation it is necessary to lower elevation angle to be 10° and still there was improvement of SNR of 3 dB compared to the system without any estimation. With lowered elevation angle from 90° to 10°, the area of coverage was greater becomes 215.77km from the original 0.032km

Parameterized Kick Engine for R-SCUAD Robot Nuryono Satya Widodo; Watra Arsadiando; Arif Rahman Muhammad Iqbalul; Faiq Hatta
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Humanoid Robot Soccer is an implementation of technology in robotics area that has the ability to mimic human activity to play football. Kicking is one of many abilities that the robot must have to play football nicely. The ability to kick in a various kind of kick also needed to enhance it’s performance in the match.This research was conducted on a 20 degree of freedom humanoid robot soccer named R-SCUAD. The robot was equipped with 20 Dynamixel servo motors as the actuator, an arbotix-pro as a sub-controller and an Odroid XU4 as the main controller. The method developed in this research was based on Darwin-op framework with an enhancement especially on the kick engine. Experiment results showed that there was a corellations between the distance that the ball travelled due to a kick with leg the swing speed of the kick, it can be inferred that a greater swing speed value will yields a greater distance of ball travel. With the leg swing speed of 50 rpm generate average distance 36.58 cm while with a speed of 300 rpm generate an average distance of 329.62 cm. Result also showed that the balancing system developed based on kick angle computation was able to maintain the robot stability up to 25 ° of kick angle.

Extra Robotic Thumb and Exoskeleton Robotic Fingers for Patient with Hand Function Disability Rifky Ismail; Mochammad Ariyanto; Kharisma A. Pambudi; Joshua W. Syafei; Gilar P. Ananto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

This paper presents the development of wearable robot to enhance and to assist people who lost the ability to grasp object. In the developing countries, most persons with hand disabilities still use manual and passive tools, especially for prosthetic and orthotic. We propose a wearable robot as an orthotic device namely extra robotic thumb and exoskeleton robotic fingers as new type of wearable robot for assisting person whose the thumb can not move anymore and the other four fingers has diminished fingers function. The motion of exoskeleton robotic finger has four DOF which each DOF represents the motion of flexion and extension on the fingers. For extra robotic thumb, it has two DOF to represent the motion of circumduction and flexion/extension on the thumb. The robot employs four linear actuators in exoskeleton robotic fingers and uses two micro servos in extra robotic thumb. The robot is designed based on 3D print technology. To assist person in Activity of Daily Living (ADL), five grip patterns are developed in this research. User can command the robot by using electromyography (EMG) sensor that attached on near healthy elbow. Based on the experimental results, the robot can successfully perform object grasping tasks by using the developed five grip modes.

Adaptive-Fuzzy-PID Controller Based Disturbance Observer for DC Motor Speed Control Zulfatman Has; Ahzen Habibidin Muslim; Nur Alif Mardiyah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

DC motors are one of the most widely used actuators in industry applications. In its use, the reliability of DC motor performance becomes an important prerequisite that must be met. Therefore, a control scheme is required to meet the above performance demands, especially in the transient, steady state, and system stability aspects. The main problems in DC motor control system, especially in terms of speed control, are the occurrence of changes in system parameters and the presence of disturbances such as load changes. This study offers an Adaptive- Fuzzy-PID (AFPID) control scheme equipped with Disturbance Observer (DOb). AFPID scheme plays a role in handling the change of system parameters, while DOb serves to estimate the occurrence of disturbance. The AFPID control scheme was verified experimentally on a DC motor test-rig that was subjected to load-bearing disturbance. The results of the experiments show that the AFPID control scheme with DOb has a better transient response performance than AFPID without DOb, as well as in the ability to compensate the load changes. The combination of AFPID with DOb offers a more stable performance to DC motor has and is more insensitive to disturbance.

A Reactive Path Planning Approach for a Four-wheel Robot by the Decomposition Coordination Method Hala El Ouarrak; Mostafa Rachik; Ibrahim Sanou; Fatiha Akef; Mohammed Mestari
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

In this paper, we discuss the problem of safe navi- gation by solving a non-linear model for a four-wheel robot while avoiding the upcoming obstacles that may cross its path using the Decomposition Coordination Method (DC). The method consists of first, choosing a non-linear system with the associated objective functions to optimize. Then we carry on the resolution of the model using the Decomposition Coordination Method, which allows the non-linearity of the model to be handled locally and ensures coordination through the use of the Lagrange multipliers. An obstacle-avoidance algorithm is presented thus offering a collision-free solution. A numerical application is given to concert the efficiency of the method employed herein along with the simulation results.

Encryption System based on a Structured Matrix: Vandermonde Matrix Hana Ali-Pacha; Naima Hadj-Said; Adda Ali-Pacha
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

The development of communications and digital transmissions have pushed data encryption to grow quicklyto protect the information against any hacking or digital plagiarisms. Also, the matrix computation algorithmsdeveloped since the fifties exploit different types of structures more algebraically. In this work, we willpropose an encryption system based on the Vandermonde matrix, to secure the data in the form of images.Some orders will be advanced MatLab programming.

Opinion Detection of Public Sector Financial Statements Using K-Nearest Neighbors Ahmad Dwi Arianto; Achmad Affandi; Supeno Mardi Susiki Nugroho
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

The identification of ethical violations committedby the auditor is very difficult to do. Artificial intelligence offersanomaly detection as an alternative method for detecting theopinion anomaly which can be an early indicator of the opiniontrading occurrence. This paper proposes the use of originalfeatures from public sector rather than the use of modifiedfeatures from the private sector to be applied in opinion detectionin public sector. By using 60% Holdout validation, 1-NNclassification showed that original featured from the public sectoroutperformed the modified featured from the private sector by5.82% through 13.10% under F-Measure Criterion and by4.22% through 9.56% under AUC criterion.

Forecasts Marine Weather on Java Sea Using Hybrid Methods: TS-ANFIS Deasy Alfiah Adyanti; Ahmad Hanif Asyhar; ian Candra Rini Novitasari; Ahmad Lubab; Moh. Hafiyusholeh
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Indonesia is an archipelago. Consequently, themajorities are working around the sea such as a fisherman.While the number of activities at sea are increasing more accident occurred are rising. This research presents marine weather prediction system using Hybrid Methods TS-ANFIS(Adaptive Neuro Fuzzy Inference System – Time Series) in orderto anticipate bad weather and reduce risk. This method use bothocean current and wave height at Java Sea particularly on Gresikin order to forecast ocean current velocity and wave height. Inputvariables used in this paper are data at (t), an hour before (t-1),and two hours before (t-2) and obtained next hour, next 6 hours,next 12 hours, and next day prediction as output. The resultsindicate that ocean current speed attain 16.97327 cm/s; 13.22302cm/s; 10.21107 cm/s; 14.09871 cm/s with mean error is about0.12993; 1.5758; 1.3182; 0.82613 while wave height reach 0.45554m; 0.48286 m; 0.46395 m; 0.54571 m with mean error is about0.0012247; 0.018619; 0.046584; 0.060206. Therefore, it was safe tosailing on 1st January 2016.

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