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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 649 Documents

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Wireless Sensor System for Prediction of Carbon Monoxide Concentration using Fuzzy Time Series Suryono Suryono; Ragil Saputra; Bayu Surarso; Ali Bardadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Carbon monoxide (CO) concentration produced from incomplete material burning affects both work health and safety. A smart system capable of early detection of carbon monoxide (CO) concentration is therefore required. This research develops a carbon monoxide sensor detection capability using a wireless sensor system that transmits data to the web server via internet connection. A semiconductor CO sensor is installed in a remote terminal unit. A computer application is developed for data acquisition and sending via online and in real time to a web server using an internet modem. For a web-based prediction of CO concentration, a Fuzzy Time Series algorithm induced by Pritpal Sing matrix is used. This research uses CO concentration data for two months. The resulting carbon monoxide concentration prediction is displayed in real time on a dashboard. This prediction is for the next day’s forecast. Results show that the Fuzzy Time Series that is induced by Pritpal Sing matrix has an average error of 2.67 %, calculated with its average forecasting error rate (AFER). This error value varies, depending on the number of data and data characteristics.

E-Learning Model for Equivalency Education Program in Indonesia Mesra Betty Yel; Sfenrianto Sfenrianto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

with the emergence of e-Learning, governments provide opportunities for online learning, whether formal or informal. However, most of e-learning systems in Indonesia have been used at formal education environments, today. Therefore, this study proposes an E-Learning model to support non-formal education in Indonesia. This model is called as E-learning for the Equivalency Education Program (E-LEEP) model. The E-LEEP consists of three components: User, Education Program, and Monitoring. The user will be students and tutor. The education program includes Package A, Package B, and Package C for elementary school, junior high school, and senior high school respectively. The monitoring will be used by institution and stakeholders. Each component will support the needs of students programs in e-Learning environment, in order to achieve the goal learning.

A Moving Objects Detection in Underwater Video Using Subtraction of the Background Model M. R. Prabowo; N. Hudayani; S. Purwiyanti; S. R. Sulistiyanti; F. X. A. Setyawan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

This paper proposes a method for detecting moving objects on an underwater video. Video obtained using an underwater camera to capture the environmental conditions of the area. This research is the initial stage of the underwater surveillance system. Underwater surveillance system enables objects passing can be recognized shapes, types, and its behavior. The detection method used in this research is a subtraction between the current frames with the background modeling results. Underwater video retrieval has a high level of difficulty because the background is always changing either due to a change the intensity and the movement of water currents. Therefore, it needs to be made an appropriate background model to address this problem. Modeling of the background on this research using adaptive modeling method, where the intensity of the background pixels is updated based on inference of the background intensity before. If the intensity of the pixels changed drastically beyond the allowed threshold value, the pixel is considered as the pixels of the object and the pixel values of the background model are updated based on this pixel value. The effectiveness of the proposed method is expressed with the value of recall and precision. The average recall value of the two videos is 83% and the value of its precision is 67.5%.

Developing E-Government Maturity Framework Based on COBIT 5 and Implementing in City Level: Case Study Depok City and South Tangerang City Fikri Akbarsyah Anza; Dana Indra Sensuse; Arief Ramadhan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

The use of E-Government in achieving good governance has been done by government to serve citizen nowadays. However, not all local government were able to implement it. PeGI that has been used as a benchmark to check government’s readiness rate in implementing E-Government can’t describe all process that need to be assessed in developing local E-Government. Moreover, the emergence of social problems, such as organizational culture and human resource management which inhibits maturation of local E-Government. Therefore, it needs one general maturity framework which capable to guide local government to develop their own E- Government and able to address social problems that arise. This study is the incorporation of previous research results using meta-synthesis method combine with best practice, primary in COBIT 5 that has been adjusted to address a factor of social problems. The design framework begins with identifying the business principle of local government, stakeholders, concerns, requirements, and obstacles; thus, produced a model of maturity framework that has six types stages, eight types dimensions, four types main categories and 69 types sub-category of assessment processes. In the end, after the framework was tested and evaluated, we can conclude this framework already comply with PeGI’s result. From local government who had the best PeGI’s result, they had main problem in social issues and in documenting process. For local government with very low PeGI’s result, they had common constraints related to IT (low understanding of IT governance and IT management, lack of infrastructure, human resources, and understanding how to use IT Master Plan).

Detecting the Early Drop of Attention using EEG Signal Fergyanto E Gunawan; Krisantus Wanandi; Benfano Soewito; Sevenpri Candra
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

The capability to detect the drop of attention as early as possible has many practical applications including for the development of the early warning system for those who involve in high-risk works that require a constant level of concentration. This study intends to develop such the capability on the basis of the data of the brain waves: delta, theta, alpha, beta, and gamma. For the purpose, a number of participants are asked to participate in the study where their brain waves are recorded by using a low-cost Neurosky Mindwave EEG sensor. In the process, the participants are performing a continuous performance test from which their attention levels are directly measured in the form of the response time in conjunction to those waves. When the response time is much longer than a normal one, the participant attention is assumed to be dropped. A simple k-NN classification method is used with the k = 3. The results are the following. The best detection of the attention drop is achieved when the attention features are extracted from the earliest stage of the brain wave signals. The brain wave signal should be recorded longer than 1 s since the time the stimulus is presented as a short signal leads to a poor categorization. A significant drop in the level of response time is required to provide the brain signal that better predicts the change of the attention.

Analysis of Driving Skills based on Deep Learning using Stacked Autoencoders Takuya Kagawa; Naiwala P. Chandrasiri
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Due to the advancement of automobile technology and increasing consumers demands, it is expected that automatic driving vehicles and manual driving vehicles will coexist in future automobile society. There are a number of people who are interested in driving and, they may think that the automatic driving vehicles are unnecessary. However, if the vehicle is operated manually, there is a possibility for driving skills of a driver to fluctuate due to drowsiness and fatigue and that may lead to accidents. In such a situation, it is important for vehicle to monitor the driver's driving conditions and provide with a driving support system or automatic driving options. In this research, we propose a method to classify driving skills of an individual driver with high precision based on deep learning (stacked autoencoders). In the experiments, driver’s driving skills were classified by combining sensor signals of curve driving data acquired from a driving simulator. As a result, a maximum driving skill recognition rate of 98.1% was achieved. In addition, the recognition rate was improved compared to the previous researches.

Fall Detection Based on Accelerometer and Gyroscope using Back Propagation Adlian Jefiza; Eko Pramunanto; Hanny Boedinoegroho; Mauridhy Heri Purnomo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Falling is an external aspect that can lead to death for the elderly. With so many activities they can do will increase the likelihood of falling. A fall detection device is designed to minimize post-fall risk. An MPU6050 sensor with 3 axis accelerometer and 3 gyroscope axis is used to detect the activities of the elderly. This research is expected to recognize the falling forward movement, falling aside, falling backward, sitting, sleeping, squatting, upstairs, down stairs and praying. The total data in the test is 80 data per movement of 16 participants. Backpropagation method is used for motion recognition. The recognition of this movement is based on 10 input variables from the accelerometer sensor data and gyroscope sensor. The result of this study, the error value calculated by using the formula Sum Square Error of all movements, is 0.1818 with ROC accuracy of 98.182%.

Minimizing the Estimated Solution Cost with A* Search to Support Minimal Mapping Repair Inne Gartina Husein; Benhard Sitohang; Saiful Akbar
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

Incoherent alignment has been the main focus in the matching process since 2010. Incoherent means that there is semantic or logic conflict in the alignment. This condition encouraged researches in ontology matching field to improve the alignment by repairing the incoherent alignment. Repair mapping will restore the incoherent to coherent mapping, by deleting unwanted mappings from the alignment. In order to minimize the impacts in the input alignment, repair process should be done as as minimal as possible. Definition of minimal could be (1) reducing the number of deleted mappings, or (2) reducing the total amount of deleted mappings’ confidence values. Repair process with new global technique conducted the repair with both minimal definitions. This technique could reduce the number of deleted mappings and total amount of confidence values at the same time. We proposed A * Search method to implement new global technique. This search method was capable to search the shortest path which representing the fewest number of deleted mappings, and also search the cheapest cost which representing the smallest total amount of deleted mappings’ confidence value. A* Search was both complete and optimal to minimize mapping repair size.

The Design of a Smart Refrigerator Prototype Z Ali; S. E. Esmaeili
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

The technological development nowadays has enabled the use of smart appliances and machines almost everywhere. The refrigerator is considered one of the most important appliances that is being used in almost every place for the purpose of storing foods, drinks, and medicines at cold temperatures, and in a sealed place to avoid exposure. However, there are several challenges encountered with refrigerators; like the expiration of some of the items inside the fridge, the need to know the exact count and availability of the items, potential liquid leaks, and open fridge door. A smart refrigerator is proposed as a solution to the aforementioned problems. The proposed smart refrigerator uses a Radio Frequency Identification (RFID) reader, the Arduino Uno microcontroller, RFID tags for all items in the fridge, a user friendly application developed using Microsoft Visual Studio, MySQL main database developed by the suppliers to store the information related to each purchased item and Phidget Interface Kit board.

Performance Evaluation of IPv6 Jumbogram Packets Transmission using Jumbo Frames Supriyanto Supriyanto; Rian Sofhan; Rian Fahrizal; Azlan Osman
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 4: EECSI 2017
Publisher : IAES Indonesia Section

IPv6 is an ultimate solution to the Internet address exhaustion. It is believed, the protocol will be requested by not only human but also everything on the earth surface. Furthermore, the improvement on the protocol is important to achieve IP packets transmission efficiently. Processing technology has been improved to become very fast packet processing both in host as well as intermediate systems. The lower layer technologies have supported to transmit Gigabits data per second. However, there is a limitation on transferring large data due to the current MTU on the widely used link layer technology which is Ethernet is still 1500 bytes. This research aims to evaluate performance of IPv6 packets transmission using jumbo frames. The evaluation was done by transmitting IPv6 packets larger than 1500 bytes in Windows operating systems. The results show, transmitting larger packets size using jumbo frame can increase the network throughput by up to 117%.

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