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Proceeding of the Electrical Engineering Computer Science and Informatics
ISSN : 2407439X     EISSN : -     DOI : -
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 144 Documents
Search results for , issue "Vol 5: EECSI 2018" : 144 Documents clear
OCT for non-destructive examination of the internal biological structures of mosquito specimen Naresh Kumar Ravichandran; Deokmin Jeon; Junsoo Lee; Jaeseok Park; Byeonggyu Jeon; Sangbong Lee; Pilun Kim; Kwang Shik Choi; Hee-Young Jung; Byoung-Ju Yun; Mansik Jeon; Jeehyun Kim
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2427.92 KB) | DOI: 10.11591/eecsi.v5.1583

Abstract

The Study of mosquitoes and their behavioral analysis are of crucial importance to control the alarmingly increasing mosquito-borne diseases. Conventional imaging techniques use either dissection, exogenous contrast agents. Non-destructive imaging techniques, like x-ray and microcomputed tomography uses ionizing radiations. Hence, a non-destructive and real-time imaging technique which can obtain high resolution images to study the anatomical features of mosquito specimen can greatly aid researchers for mosquito studies. In this study, the three-dimensional imaging capabilities of optical coherence tomography (OCT) for structural analysis of Anopheles sinensis mosquitoes has been demonstrated. The anatomical features of An. sinensis head, thorax, and abdomen regions along with internal morphological structures like foregut, midgut, and hindgut were studied using OCT imaging. Two-dimensional (2D) and three-dimensional (3D) OCT images along with histology images were helpful for the anatomical analysis of the mosquito specimens. From the concurred results and by exhibiting this as an initial study, the applicability of OCT in future entomological researches related to mosquitoes and changes in its anatomical structure is demonstrated.
Analysis of EMG based Arm Movement Sequence using Mean and Median Frequency B. N. Cahyadi; Wan Khairunizam; M. Nor Muhammad; Zunaidi Ibrahim; S.H. Majid Majid; Mohd Rudzuan Mohd Nor; Shahriman Abu Bakar; Zuradzman Mohamad Razlan; W. A. Mustafa
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.526 KB) | DOI: 10.11591/eecsi.v5.1584

Abstract

This paper present the studies of analysis arm movement sequence which dedicated for upper limb rehabilitation after stroke. The recovery of the arm could be optimized if the rehabilitation therapy is in a right manner. Upper limb weakness after stroke is prevalent in post-stroke rehabilitation, many factors that can deficit muscle strength there are neural, muscle structure and function change after stroke. Rehabilitation process needs to start as soon as after a stroke attack, repetitive and conceptualized. On the other hand monitoring of muscle activity also need in the rehabilitation process to evaluate muscle strength, motor function and progress in the rehabilitation process. The objective of this research is to analysis arm movement sequence using the feature frequency domain. In this study deltoid, biceps and flexor carpum ulnaris (FCU) muscles will be monitored by surface electromyography (sEMG). Five healthy subjects male and female become participants in data recording. Mean frequency (MNF) and median frequency (MDF) domain are two signals processing technique used for arm movement sequence analyzing. The analysis result showed that MNF is better than MDF where MNF produced higher frequency than MDF from each segment. From the data analysis, this movement sequence design more focuses on deltoid and FCU muscles treatment. This movement sequence has five condition movements. First undemanding, second difficult, third moderate, fourth moderate and the last cool-down movements. The best movement sequence minimum has four condition movements warming up - moderate - difficult - cool-down.
Implementation of Myo Armband on Mobile Application for Post-stroke Patient Hand Rehabilitation Tri Bintang Dewantoro; Riyanto Sigit; Heny Yuniarti; Yudith Dian Prawitri; Fridastya Andini Pamudyaningrum; Mahaputra Ilham Awal
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (720.059 KB) | DOI: 10.11591/eecsi.v5.1585

Abstract

Medical rehabilitation is one of the efforts to restore motor function of post-stroke patients, but the biggest factor that makes patients quickly restore motor function by active patient movement exercises. The movement in question is the movement carried out every day outside medical rehabilitation at the hospital. On the other hand, patients are reluctant to do therapy independently outside the hospital, because there is no tool that supports patients to do so. So, we need a device that helps patients to do therapy independently. The device is connected to Myo Armband to read the gestures of the patient by looking at the EMG signal from the patient's hand. Then the system performs matching gestures during therapy with EMG signal data that has been trained. The motion matching is done by calculating the Euclidean distance between the two EMG signal data obtained from the Myo Armband device. From the results of the tests carried out, the accuracy of movement matching results obtained an average accuracy of 89.67 percent for flexion-extension gestures and 82 percent for pronation-supination gestures. It can be concluded that Myo Armband in the Mobile Application can be used for Rehabilitation of post stroke patient hands.
Appropriate Sets of Criteria for Innovation Adoption of IS Security in Organizations Sandy Kosasi; Vedyanto Vedyanto; I Dewa Ayu Eka Yuliani
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (252.072 KB) | DOI: 10.11591/eecsi.v5.1586

Abstract

Determining sets of criteria and alternatives becoming main priorities is essential to guarantee the success of innovation adoption of Information System (IS) security. The goal of this research was to select and determine important entities as representation of each criterion for managers in making decisions of innovation adoption of IS security. This research applied Technology-Organization-Environment (TOE) Framework, and Human-Organization-Technology-Fit (HOT-Fit) Model to map relative importance variables of criteria and alternatives. AHP Approach was applied for computation simulation to determine priorities of criteria and alternatives. Results show that a principal criterion is manpower of organizations. The eigen factor score is 4.398. Moreover, alternatives covering complexity, financial resources, intensity of competition, and CIO innovativeness have these respective eigen factors scores: 4.326, 9.307, 4.376, and 4.545.
E-Government Maturity Model to Support System Dynamics in Public Policymaking Feldiansyah Bakri Nasution; Nor Erne Nazira Bazin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1284.941 KB) | DOI: 10.11591/eecsi.v5.1587

Abstract

In this paper, the main output of e-government is designed to assist a policymaker to create a comprehensive public policy. The policy is developed by studying the political and social issues in holistic way. System Dynamics based on Big Data from e-government infrastructure is suggested as the method for obtaining a comprehensive solution. The solution is selected from some possible scenarios by running simulation on the model of System Dynamics. The policymaker uses this solution as an input for public policymaking. Unfortunately, no E-Government Maturity Model (EMM) has given attention to incorporate Big Data and System Dynamics for Public Policymaking. In this case, a new EMM is proposed. It consists of several stages. Each stage is identified by the range of intensity or level of several criteria or indicators. Some criteria or indicators are proposed by considering technical and non-technical aspect, such as Leadership / Policy, IT Infrastructure, Information Processing (Application), Human Resources and Organization Culture. At the end of this paper, the survey is conducted to identify the current level or stage of EMM of one of government institution in Indonesia.
Self-Efficacy a Critical Factor of Information System: An Investigation using DeLone McLean Tri Lathif Mardi Suryanto; Djoko Budiyanto Setyohadi; Akhmad Fauzi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.083 KB) | DOI: 10.11591/eecsi.v5.1588

Abstract

This paper examines what influences Attitude towar usage (ATU) as the expectation of the application of Employee Information System (EIS) with high success rate, this research is observed through cognitive value using approach theory of information system success model DeLone and McLean Model (DMM) and affective value using the Human Resource quality theory (HRQ) and the Self-Efficacy (SE) model. The overall data was obtained by providing questionnaires to employees at the Higher Education and using WarpPLS and SEM as a method of analysis. This study found that, because the EIS was positioned as a compulsory system, our study showed that only Self-Efficacy would affect Attitudes toward the Use of EIS. The quality of human resources, as other Affective factors, has no effect on Attitudes towards usage of EIS.
Bioelectrical measurement for sugar recovery of sugarcane prediction using artificial neural network Sucipto Sucipto; Muhammad Arwani; Yusuf Hendrawan; Shinta Widaningtyas; Dimas F Al Riza; Simping Yuliatun; Supriyanto Supriyanto; Agus Somantri
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1028.978 KB) | DOI: 10.11591/eecsi.v5.1589

Abstract

One of the problems in the sugar industry is lack of low cost, simple and accurate measurement techniques for sugar recovery of sugarcane in the field or laboratory. This study investigated the potential using of bioelectrical properties as a non-destructive technique for this purpose. A parallel plate capacitor was developed to measure the bioelectric properties of sugarcane in a lateral and longitudinal position of the samples. Eighteen internode samples from 3 sugarcane varieties were measured within 0.1-10 kHz frequency range of LCR meter and then was analyzed sugar recovery in the laboratory. The result showed that in the lateral position are more capacitive and resistive than the longitudinal position. Artificial neural network (ANN) was developed for prediction of sugar recovery as a function of bioelectrical properties. The best ANN model produces a high accuracy in the lateral bioelectrical measurement position with a correlation coefficient (R) > 0.90 and mean square error (MSE) <; 0.05. It showed that the ANN model based on bioelectrical properties had the potential to be developed as a simple technique to predict the sugar recovery of sugarcane.
Improvement of Information Technology Infrastructure in Higher Education using IT Balanced Scorecard Clara Hetty Primasari; Djoko Budiyanto Setyohadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.747 KB) | DOI: 10.11591/eecsi.v5.1590

Abstract

Today the use of Information Technology (IT) in business is a must since IT is useful to obtain competitive advantage. It can be achieved by alignment of IT and business, which is performed by developing a good IT infrastructure. Higher educational organization is one of business which requires competitive advantage to compete with their competitors. However, there are some problems encountered. These include the lack of a systemic approach to IT implementation, the lack of awareness to use IT, the lack of commitment and the leader's interest to implement IT, the weakness of technical support for IT implementation, poorly targeted staff development, lack of ownership and insufficient funds. Furthermore, an evaluation is need to determine the condition of IT infrastructure problems to deal with issues faced by a higher education organization. Balanced Scorecard is potential framework for analyzing IT infrastructure since it is one of the well-known performance measurements which embrace the important aspect in business. To do performance evaluation in the IT of higher education organization, Balance Scorecard perspective needs to be customized since IT division is more likely to serve internal rather than external parties commonly. The results of this study are expected to give an illustration of the state of IT infrastructure governance of higher education according to four perspectives in IT Balanced Scorecard. Based on this illustration, it can be identified critical recommendation to IT Infrastructure governance in higher education.
Semi-reactive Switch Based Proxy ARP in SDN Fauzi Dwi Setiawan Sumadi; Diah Risqiwati; Syaifuddin Syaifuddin
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (446.069 KB) | DOI: 10.11591/eecsi.v5.1591

Abstract

In order to achieve high scalability during the network discovery process in software-defined networking (SDN), an extensive method for generating switch-based proxy is essential. This paper investigated the semi reactive solution for guiding the controller to build an OFPT_FLOW_MOD message that allowed SDN switch to reply an Address Resolution Protocol (ARP) request directly by deploying the semi-reactive switch-based proxy ARP application in northbound application programming interface (API). We conduct the experiment by using Open Networking Operating System (ONOS) an open-source SDN controller simulated in Mininet environment. As can be seen from the evaluation result, the installed application can reduce the ARP reaction time up to 95% calculated from the sender host. The final result also indicates that our approach can decrease the controller's loads significantly.
Design of Low Noise Micro Liter Syringe Pump for Quartz Crystal Microbalance Sensor Ridha N. Ikhsani; D.J. Djoko H. Santjojo; Setyawan P. Sakti
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1197.868 KB) | DOI: 10.11591/eecsi.v5.1592

Abstract

An injection pump was a critical aspect in the used of Quartz Crystal Microbalance (QCM) biosensor or chemical sensor in liquid. It is required that the pump should have variable speed and doesn't introduce pressure noise to the QCM sensor. In this work, the pump was developed using a micro stepper motor with a microliter syringe. The mechanical transmission transforms the rotational displacement of the motor into a translational displacement of the syringe. The flow rate of the injection pump could affect the signal pattern indicated by a signal spike or instability of the sensor resonance frequency. The developed system successfully minimized the spike signal and improved the stability of the sensor resonance by the used of the microliter syringe pump with optimizing the reaction chamber of the QCM sensor. The flow rate of the pump can be controlled with a minimum speed of 0.7 microliter per second for water. At low flow rate, there was a negligible or none of the spike signal observed during the injection and ejection of the liquid. However, at a high flow rate, few signal spikes may be observed.

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