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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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Magnetorheological Elastomer Stiffness Control for Tunable Vibration Isolator Gigih Priyandoko; Tedi Kurniawan; Efistein Naga
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Most of the vibration isolator has fixed stiffness such as passive vehicle mounting system. Objective of this research is to develop a Magneto-rheological Elastomer (MRE) as a vibration isolator when different currents are applied to get different stiffness of the MRE. A MRE was fabricated by mixing silicon rubber, silicon oil and carbonyl iron particles together and then cured for 24 hours in a circular mold. Experimental result shows that that there were decreases in amplitude of the vibration in time and frequency domains when the current applied to the coil is increased.

Computer Aided Model for an Off-grid Photovoltaic System Using Batteries Only Emil Lazarescu; Flaviu M. Frigura-Iliasa; Marius Mirica; Mihaela Frigura-Iliasa; Lia Dolga; Hannelore E. Filipescu
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

This article will present an off-grid photovoltaic energy system based on a photovoltaic element (PV), or a group of PVs, integrated in a solar battery (SB), directly connected to an electrical battery (EB) having no DC-DC adapter (use of adapters is the most common solution existing now on in this domain). This SB must be properly adjusted to the EB, not only as voltage, but it must provide also the same amount of energy as the system when operating at its classically detected maximum power operating point. This proposed technical solution is more economically justified, compared to the classic one: SB+DC-DC+EB, due to the simple fact that the DC-DC converter is no longer required at all. A simple mathematical model for the current-voltage characteristics is also presented, followed by a comparison between the classic DC-DC converter-based solution and the newly proposed one, without DC-DC converter.

Comparative Performance Analysis of Linear Precoding in Downlink Multi-user MIMO Subuh Pramono; Eddy Triyono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

This paper investigates the comparative performance of linear precoding schemes. The linear precoding schemes are including block diagonalization (BD), zero forcing (ZF), and maximum ratio transmission (MRT) in downlink multi-user MIMO. This work delivers the performance of linear precoding in term of achievable sum rate and bit error rate (BER) with a variation of the signal to noise ratio (SNR) and the number of transmitter-receiver antennas. We suppose that the transmitters have a complete channel state information. The results show that the MRT precoding yields better bit error rate than both the BD and ZF precoding schemes. However, the ZF precoding generates better achievable sum rate than the MRT precoding. In the other side, the MRT precoding also outperforms when the number of active users is bigger than Kcross while the number of active users is less than Kcross the ZF precoding is still dominant.

Development of Discrete-Cockroach Algorithm (DCA) for Feature Selection Optimization Yusuf Hendrawan; Muchnuria Rachmawati; Muchammad Fauzy
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

One of the recently proposed algorithms in the field of bio-inspired algorithm is the Hungry Roach Infestation Optimization (HRIO) algorithm. Haven has developed optimization algorithms HRIO that is inspired by recent discoveries in the social behaviour of cockroaches. Result showed that HRIO was effective at finding the global optima of a suite of test functions. However, there is no researcher who has observed HRIO for solving discrete problems. Therefore, we try to develop a discrete-cockroach algorithm (DCA) as the modification of HRIO for solving discrete optimization problem. We test the algorithm to solve bio-computation problem using single and multi-objectives optimization. The results showed DCA has better performance compared to the existed bio-inspired optimization algorithms such as genetic algorithms (GA) and discrete-particle swarm optimization (discrete-PSO).

Implementation Strategy of Knowledge Management System: A Case of Air Drilling Associates Siti Hadjar; Putu Wuri Handayani; Riri Satria; Ave Adriana Pinem
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Just as companies in the oil and gas industry, Air Drilling Associates (ADA) also feel the urgency to utilize Knowledge Management to facilitate resilience in a dynamic and competitive business environment. By the end of 2016 ADA introduces the ADA Knowledge Base, a Knowledge Management System, for employee to be utilized as a platform for sharing experiences and learning. However, up to one year since its introduction, the employee participation rate against ADA Knowledge Base is still low. A strategy is required for the implementation of a Knowledge Management System that is part of support for Knowledge Management. This study conducted by using Soft System Methodology approach and Knowledge Management theory. Respondents upper management, middle management and staff form the organization has been interviewed. The result defined three steps and sixteen activities for the company to implement the Knowledge Management System.

Middleware for Network Interoperability in IoT Eko Sakti Pramukantoro; Fariz Andri Bakhtiar; Binariyanto Aji; Rasidy Pratama
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

One solution for interoperability issue in IoT is a middleware which is competent on resolving the problems of syntactical, semantic, and network interoperability. In previous study, a middleware capable of addressing semantic and syntactical interoperability challenges has been developed, yet has not responded to network interoperability matter. In this paper we continue our previous research by adding BLE and 6LoWPAN features to the middleware's communication media, so it may communicate with various devices. Interoperability test results show that the middleware is capable of responding to network interoperability challenges and able to receive data from multiple nodes simultaneously.

The Utilization of Ontology to Support The Results of Association Rule Apriori Dewi Wardani; Achmad Khusyaini
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Association rule is one of the data mining techniques to find associative combinations of items. There are several algorithms including Apriori, FP - Growth, and CT-Pro. One of the advantages of the Apriori algorithm is that it produces many rules. To improve its result, one of the methods is by using the semantic web technology. In this work, we propose how the hierarchical type of ontology can be utilized by the Apriori algorithm to improve the results. The Apriori with ontology implements the IR which is a parameter to determine the degree of association between combinations of items in a dataset. The series of experiments show that the proposed idea can improve the results compare to the default Apriori algorithm

Application of LoRa WAN Sensor and IoT for Environmental Monitoring in Riau Province Indonesia Evizal Abdul Kadir; Akmar Efendi; Sri Listia Rosa
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Land and forest fires especially in Riau Province, Indonesia, have affected the length and breadth of Indonesia. The fires are normally hampered by seasonal dry conditions such as El Nino effect. In addition, the haze has affected the neighboring countries such as Malaysia, Singapore and south of Thailand. The effects of haze on human health as reported in that particular year were about 20 million people have suffered from respiratory problems and serious deterioration in overall health. There were other effects on environment, economy, flora and fauna in Southeast Asia region due to this disaster. This research proposes to develop a smart monitoring system using Long Range Wide Area Network (LoRa WAN) with low power wireless data communication and Internet of Things (IoT) technology. With LoRa technology, data can be transmitted up to 30 miles which is worthwhile to cover some of Riau Province that have been badly impacted by this disaster. In this article propose to develop sensors system that capable of detecting land and forest fire. The sensors will be located at several locations that has badly impacted previously. LoRa IoT Technology will be deployed to provide a platform for connecting the sensors. An early indication of land or forest fires is vital for quick prevention before they become uncontrollable and overwhelming. The design and development of LoRa sensors give high feasibility to overcome current issues in Riau Province because of land and forest fire.

Computer Aided Model for a Low Voltage Varistor with Increased Thermal Stability Adrian F. Olariu; Flaviu M. Frigura-Iliasa; Florin I. Balcu; Mihaela Frigura-Iliasa; Lia Dolga; Hannelore Filipescu
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Metal Oxide Varistors are a very common power electronic device, applied for efficient overvoltage protection at any voltage level. This piece of equipment has a high non-linear current response function of the applied voltage, and, it provides a relatively high heat absorption capacity in case of accidental overvoltage pulse (shock)s. The crossing response current is clearly activated by temperature of that device, and, by consequent, overheating could be disastrous. Actual researches must be carried out both for a new more performant material as well as for new technical solutions for the design of all equipment integrating them, by studying heat extraction and heat transfer inside a new complex varistor device. Our article proposes a totally new device, used basically for low voltage applications, having a supplementary metal mass added to the body of that varistor, shaped as small disk. It actions like a heat pump immediately after the voltage pulse (shock) and as additional radiators at the end of the heating process caused by a transitory overvoltage. A CAD solution combined with a finite element model, followed by some experimental results are also presented, for confirming the performance of that newly design. By placing additional metal alloy masses inside a new varistor structure it will have a higher heat pumping and dissipation capability, in order to reduce temperature stress and all aging effects.

Face RGB-D Data Acquisition System Architecture for 3D Face Identification Technology Aldi Bayu Kreshnanda Ismail; Ihsan Fikri Abdurahman Muharram; Dadet Pramadihanto; Adnan Rachmat Anom Besari
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

The three-dimensional approach in face identification technology had gained prominent significance as the state-of-the-art breakthrough due to its ability to address the currently developing issues of identification technology (illumination, deformation and pose variance). Consequently, this trend is also followed by rapid development of the three-dimensional face identification architectures in which some of them, namely Microsoft Kinect and Intel RealSense, have become somewhat today's standard because of its popularity. However, these architectures may not be the most accessible to all due to its limited customisation nature being a commercial product. This research aims to propose an architecture as an alternative to the pre-existing ones which allows user to fully customise the RGB-D data by involving open source components, and serving as a less power demanding architecture. The architecture integrates Microsoft LifeCam and Structure Sensor as the input components and other open source libraries which are OpenCV and Point Cloud Library (PCL). The result shows that the proposed architecture can successfully perform the intended tasks such as extracting face RGB-D data and selecting out region of interest in the face area.

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