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Proceeding of the Electrical Engineering Computer Science and Informatics

EECSI
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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.

Arjuna Subject : -

Articles 57 Documents

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Search results for , issue "Vol 2: EECSI 2015" : 57 Documents clear

Big Data Management Prototype Development for Analysis Various of Data Sulistyo Heripracoyo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

The phenomenon of big data is currently agrowing topic in the world of information technology. From someof the literature mentioned that manage big data can createsignificant value for the world economy, improving productivityand competitiveness of enterprises and the public sector as wellas creating a large economic surplus for consumers. However,from some of the information obtained, big data is still not widelyapplied in the company or organization. This study aimed toexplore more information about the big data and proceed withmaking an application prototype big data management. Toexperiment with big data storage that is database, this researchuse NoSQL database technology that can map the needs of bothstructured and unstructured. And this research will be carriedout migration of Relational Database (RDBMS) into the databaseMongoDB. Prototype will be create with the object of study isstructured and unstructured data. The expected result of thisresearch is a model or prototype of big data management thatcan help organizations and companies (especially education) tomake decisions based on various types of data.

Optimization of Salient Object Segmentation by using the influence of color in Digital Image Edvin Ramadhan; Iping Supriana Suwardi; Bambang Riyanto Trilaksono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Human attention is more likely to be interested indifferent objects or striking in image processing called salientobject. Existing approaches worked well in finding the salientobject in this image, but they have not been able to accuratelydetect where objects should stand out due to the influence of lightintensity, there are various object results of salient object detectionin which area is still cut off or do not appear because they do notinclude salient area. We offer solutions to fix these problems byoptimizing salient object detection prioritizing object area aftersalient area, through checking comparison of the color regionlocated around the area of the salient. This Optimization of theapplication is able to improve to 83% from 100 salient object whichhas this problem, and able to produce more natural Saliency Cut.

Decision Support System for Heart Disease Diagnosing Using K-NN Algorithm Tito Yuwono; Noor Akhmad Setiawan; Adi Nugroho; Anugrah Galang Persada; Ipin Prasojo; Sri Kusuma Dewi; Ridho Rahmadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Heart disease is a notoriously dangerous disease whichpossibly causing the death. An electrocardiogram (ECG) is used fora diagnosis of the disease. It is often, however, a fault diagnosis by adoctor misleads to inappropriate treatment, which increases a riskof death. This present work implements k-nearest neighbor (K-NN)on ECG data to get a better interpretation which expected to help adecision making in the diagnosis. For experiment, we use an ECGdata from MIT BIH and zoom in on classification of three classes;normal, myocardial infarction and others. We use a single decisionthreshold to evaluate the validity of the experiment. The resultshows an accuracy up to 87% with a value of K = 4

Ear Image Recognition using Hyper Sausage Neuron Samsuryadi Samsuryadi; Anggina Primanita
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

It is important to distinguish an individual from a group of other individuals to ensure information security an d integrity. One of human body parts that has distinguishable characterics is the ear. Prior attempts on identification of hum an ear image has been implementing statistical pattern recogni tion which focusing more on classification between sample sets . This research attempts to build a robust ear image recognitio n system using Hyper Sausage Neuron (HSN) that concetrates on cognition process rather than classification. A recognition s oftware has been built and tested to recognize ear images. Ear images presented into the software has its geometrical moment invariants extracted. These moments is then used to build a se ven dimensional feature vector which will construct a network of HSN of each individual it represents. Different ear images f rom the same individual is presented into the software to test i ts accuracy. The experiment result shows that ear recognition using HSN has better accuracy and faster training time than p revious recognition attempts using statistical pattern recogniti on.

Real Time Environmental Monitoring in Palm Oil Plantation Using Wireless Sensor Network Reza Firsandaya Malik; Muhammad Hafiz; achmad Nopransyah; Muhammad Reyhan Zalbina; Tri Wanda Septian
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

The production of the palm oil accounted for 10.15%of total palm oil production in Indonesia. Farmland monitoringsystem is designed to determine the condition of temperature andsoil moisture on oil palm plantation. In this study, we design andbuild a Wireless Sensor Network (WSN) with fitted temperatureand moisture sensors for monitoring soil quality. The process oftemperature and moisture data communication from sensor nodesto the sink using a routing protocol that named Power-EfficientGathering in Sensor Information Systems (PEGASIS). The routingprocess in the PEGASIS is the nodes will form a chain by selectinga leader node as a gateway. The development of WSN is composedof 3 nodes and 1 sink with three different scenarios. The firstscenario is placed moisture sensors on three nodes (single sensor),the second is placed the temperature sensors on three nodes (singlesensor) and the third is placed moisture sensor on two node and onenode equiped by temperature sensor (multi sensor). The evaluationof WSN communication using the PEGASIS routing protocolcompared to the direct transmission using delay, packet loss andenergy have done. The results obtained are the difference betweenthe lifetime sensor nodes between direct transmission and thepegasis is 7 minutes time difference. For the average delay ofPEGASIS and direct transmission is 31.23 and 30.92 msrespectively. All transmission in both scheme have packet loss 0%.Conclusion, the WSN has successfully implemented with longer lifetime energy using PEGASIS than direct transmission methods.

Realization of Zigbee Wireless Sensor Networks for Temperature and Humidity Monitoring Helmy Fitriawan; Danny Mausa; Ahmad Surya Arifin; Agus Trisanto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

Many physical phenomena and processes in theenvironment must be monitored. This problem can be solved withan ad-hoc wireless sensor network (WSN), which consists of anumber of small and self-power sensing devices (nodes) that areconnected with each other using effective wireless networks. Thispaper reports development of an embedded wireless sensornetwork (WSN) prototype for environmental parametersmonitoring. The network itself consists of a coordinator or datagateway which wirelessly collect temperature and humidity dataover several sensor nodes. Each sensor node is developed from anarduino based microcontroller, Xbee wireless module based onZigbee/IEEE 802.15.4 standards, and temperature and humiditysensor devices. In the prototype system, both temperature andhumidity sensors are calibrated with accurate instruments to obtainprecise measurements. Its communication functionality is alsotested in various network topologies. The battery lifetime iscalculated to predict the energy consumption. The testing resultsshow that the system works well in terms of its functionality.

Wireless Fire Alarm System in Power Plant Andri Gautama Suryabrata; Tatang Mulyana; Deden Witarsyah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

This paper presents a wireless fire alarm system inpower plant. In the wireless fire alarm system had two sensorslike smoke sensor and temperature sensor. The smoke sensor isdetected the smoke when during the fire disaster happens. Thefire disaster happens the temperature will increase to above 650Call the wire will burnt and will getting smoke around the room.When the smoke sensor and the temperature sensor had signalwill pass through to microcontroller PIC18F4550 and send thedata to computer with using X-bee Pro device. The X-bee Prowill receive signal to computer and show in the Visual Basicabout the status of the room and the temperature at the room.

GPS-GSM Modem Application as Car Position and Fuel Monitoring System Ahmad Taqwa; Masayu Anisah; Evelina Evelina; Sabilal Rasyad; Amperawan Amperawan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

problems delay delivery of fuel to gas stations is still difficult to predict. This raises concerns of distributors. We also difficult to know the contents of the tank as it was stolen during the trip. This study aims to resolve the issue. By utilizing GPS, GSM modem and ultrasonic sensors we can know the location and position of the car in detail, and to determine the volume of fuel in the tank. We use google maps that created with Delphi program

Gas Leak Localization Using Mobile Sensor Networks Bambang Tutuko; Siti Nurmaini; Agus Triadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

A swarm robotics localization strategybased on deliberates fuzzy and swarm behavior isproposed in this paper. Localization is the processof determining the positions of robots or targetsin whole swarms environment. To localize thetarget in real environment, experiment isconducted utilize three identical robots withdifferent color as mobile sensor node. Fuzzy logicand swarm behavior are keeping the swarmrobots position and direction with a certaindistance to the target position.

An Ultrasonic System for Determining Mango Physiological Properties Sallehuddin Ibrahim; Mohd Amri Md Yunus; Mohd Taufiq Md Khairi; Aini Hazwani Mohd Zelan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 2: EECSI 2015
Publisher : IAES Indonesia Section

There is an increasing requirement for high qualityfruits such as mango. Hence it is vital to have a fast, accurate andreliable method for measuring and monitoring the quality of fruitfrom the field to the consumer. This paper presents aninvestigation on the use of an ultrasonic measurement system fordetermining the quality of mango.

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