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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.

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Articles 144 Documents

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Search results for , issue "Vol 5: EECSI 2018" : 144 Documents clear

Performance Analysis of Color Cascading Framework on Two Different Classifiers in Malaria Detection Cucun Very Angkoso; Yonathan Ferry Hendrawan; Ari Kusumaningsih; Rima Tri Wahyuningrum
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Malaria, as a dangerous disease globally, can be reduced its number of victims by finding a method of infection detection that is fast and reliable. Computer-based detection methods make it easier to identify the presence of plasmodium in blood smear images. This kind of methods is suitable for use in locations far from the availability of health experts. This study explores the use of two methods of machine learning on Cascading Color Framework, ie Backpropagation Neural Network and Support Vector Machine. Both methods were used as classifier in detecting malaria infection. From the experimental results it was found that Cascading Color Framework improved the classifier performance for both in Support Vector Machine and Backpropagation Neural Network.

Analysis of Consumer Confidence on Mobile Commerce in Indonesia Andhika Prabawati; I Putu Widyana; Suyoto Suyoto
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

The rapid development of mobile-based information technology, can change an existing business process. Such as loss of distributors in a single chain of business processes. Mobile Commerce industry is getting a good condition to grow. With the decrease in Mobile communication costs, more and more people are using mobile computing devices that can connect to the Internet. There are several m-Commerce applications in Indonesia, namely Lazada, Tokopedia, Buka Lapak, Shoppee and etc. The existence of these applications in Indonesia traders switch to online stores. This study takes three examples of m-Commerce applications in Indonesia with the top three criteria in terms of the best reviews and the highest number of reviews. The results of the sampling application is Lazada, Tokopedia and Buka Lapak. The process of collecting data taken will be analyzed to know about the level of consumer confidence in an m-Commerce application. This is evidenced by a collection of examples of online stores that exist in m-Commerce applications that inform ratings, discount information and existing features. The results obtained from this research is, consumer confidence can be seen from the review feedback that exist in each - each m-Commerce. Many discounts and low prices have no effect on consumer buying interest in the online store. The researcher's suggestion is to reward the most traded buyers with points that can be redeemed for certain goods, discounted goods or subsidized postage.

Single-Tone Doppler Radar System for Human Respiratory Monitoring Rizky Ambarini; Aloysius Adya Pramudita; Erfansyah Ali; Antonius Setiawan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Human respiration activities can be identified from the chest wall movement. In developing a non-contacting sensor for human respiration, the chest wall movement can be detected as a Doppler shift. Therefore, the Doppler radar is potential to be implemented for the non-contacting sensor previously mention. In this paper, the Single-Tone Doppler radar which operates at 10 GHz has been studied and proposed for detecting human respiration. The simulation experimental is performed for investigating the capability of the proposed method in detecting the human respiration parameter such as respiration rate and respiration amplitude. The results show that the proposed method is capable to extract the human respiration parameter.

Automatic Game World Generation for Platformer Games Using Genetic Algorithm Ali Sofyan Kholimi; Ahmad Hamdani; Lailatul Husniah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Most of the games rely on the game designer to design the level and environment. Increasing of game environment space scale followed by increasing of time and cost. Procedural Content Generation (PCG) is a method to solve this problem by generating a game environment space. In this paper, a PCG method proposed using a genetic algorithm approach to solve the problem in generating game environment. Transition graph adapted in the proposed method to make PCG generate difficulty level. The Index-based approach used to display the biome sequence. This approach displays the biome according to its index in the sequence.

Comparison of LFC Optimization on Micro-hydro using PID, CES, and SMES based Firefly Algorithm Kadaryono Kadaryono; Rukslin Rukslin; Machrus Ali; Askan Askan; Asnun Parwanti; Iwan Cahyono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Micro-hydro gets potential energy from water flow that has a certain height difference. Potential energy is strongly influenced by high water fall. Potential energy through pipes, incoming turbines converted into kinetic energy. The kinetic energy of the turbine coupled with the generator is converted into electrical energy. Some components used for micro-hydro power generation, among others; intake, settling basin, headrace, penstock, turbine, draft tube, generator, and control panel. Water flows through the pipe into the turbine house so it can rotate the turbine blades. Turbine rotation is used to rotate a generator at the micro hydro generator. The most common problem with micro-hydro generating systems is inconsistent generator rotation caused by changes in connected loads. Load changes can cause system frequency fluctuations and may cause damage to electrical equipment. Artificial Intelligence (AI) is used to obtain the right constants to obtain the best optimization. In this study compare the control method, namely; Proportional Integral Derivatives (PID), Capacitive Energy Storage (CES), and Superconducting Magnetic Energy Storage (SMES). This study also compared the method of artificial intelligence between Particle Swarm Optimization (PSO) method has been studied with the method of Firefly Algorithm (FA). Overall this study compares 11 methods, namely methods; uncontrolled, PID-PSO method, PID-FA method, CES-PSO method, CES-FA method, SMES-PSO method, SMES-FA method, PID-CES-PSO method, PID-CES-FA method, PID-SMES - PSO, and PID-SMES-FA method. The results of the simulation showed that from the 11 methods studied, it was found that the PID-CES-FA method has the smallest undershot value, ie -7.774e-03 pu, the smallest overshoot value, which is 4.482e-05 pu, and the fastest completion time is 7.11 s. These results indicate that the smallest frequency fluctuations are found in the PID-CES-FA controller. Thus it is stated that the PID-CES-FA method is the best method used in the previous method. This research will use other methods to get the best controller.

Fuzzy Logic Controller Design for Leader-Follower Robot Navigation Tresna Dewi; Yudi Wijanarko; Pola Risma; Yurni Oktarina
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Mobile robots are applied everywhere in the human's life, starting from industries to domestics. This phenomenon makes it one of the most studied subjects in electronics engineering. Navigation is always an issue for this kind of robot, to ensure it can finish its task safely. Giving it a “brain” is one of the ways to create an autonomous navigating robot. The Fuzzy logic controller is a good choice for the “brain” since it does not need accurate mathematical modeling of the system. Only by utilizing the inputs from sensors are enough to design an effective controller. This paper presents an FLC design for leader-follower robot. This FLC design is the improvement of FLC application in a single two differential-driven mobile robot. The relation between leader and follower robot is modeled linearly as a spring-damper system. Simulation proves the feasibility of the proposed method in several environment setting, and this paper also shows that the method can be easily extended to one leader and more than one follower's formation. The research in this paper has introduced in the classroom as the teaching-learning media to improve students' involvement and interest in robotics and robotics related class. This paper is also part of our campaign and encouragement for teachers and students to use low-cost and open source software since not all the universities in developing country can afford the expensive high-end software.

Social Media and User Performance in Knowledge Sharing Setiawan Assegaff; Akwan Sunoto; Hendrawan Hendrawan; Xaverius Sika Sika
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

The aimed of this study is to investigate the impact of social media utilization on the student's performances for knowledge sharing in teaching and learning progress. A research model on the basis of the Task-Technology Fit Theory and three hypotheses theory was developed for this study. Model and hypotheses then tested and validated using data obtained from a survey of respondents. The survey was conducted on students at a university in Indonesia. Of the 103 questionnaires filled out by members of the university, 75 questionnaires declared valid and used for further analysis. Data were analyzed using Partial Least Square (PLS) PLS Smart software utilizes V2. This study reveals that student performance in sharing knowledge with social media impact by technology characteristic and social media utilization.

Dual Frequency Continuous Wave Radar for Small Displacement Detection Andarining Palupi; Aloysius Adya Pramudita; Dharu Arseno; Antonius Darma Setiawan
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

In several field such as structure health monitoring, landslide monitoring and medical measurement, small displacement is used as the indicator of any problem that may rise in such fields. High resolution radar system is required for small displacement detection in millimeter of centimeter scale. Continuous wave (CW) radar with its narrow bandwidth feature, has a simpler system comparing with other radar system. However, the modification is needed to present the ability of CW radar in detecting small displacement. In this paper, dual frequency CW radar was investigated and proposed for small displacement detection. Computer simulation has been conducted to study the capability of the proposed radar system. The result shows that the dual frequency CW radar at 10.525 GHz is capable to detect a small displacement in millimeter scale. The frequency difference of the radar signal needs to be adjusted to avoid the ambiguity in the detection result

Monitoring Walking Devices For Calorie Balance In Patients With Medical Rehabilitation Needs Wahyu Andhyka Kusuma, WAK; Zamah Sari; Diah Ayu Fitriani; Siti Norhabibah; Sabrina Nurul Ubay; Hardianto Wibowo
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

This article presents a measurement system intended to monitor human footsteps. The goal is to guide the users medical rehabilitation incorrect use to prevent dangerous situations and maximize comfort. Indicators of risk in question: the imbalance of movement in motor coordination and the number of calories to be burned for medical rehabilitation patients by balancing the patient's needs. Measurements are made by placing the sensor on one of the patient's legs. The main sensor accelerometer used in this study. The measurement system comes with an application link that allows patients and therapists to monitor the activity. Calibration and experimental results are presented in this article.

Optimal Power Flow using Fuzzy-Firefly Algorithm Dwi Lastomo; Widodo Widodo; Herlambang Setiadi
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Development of Metaheuristic Algorithm in engineering problems grows really fast. This algorithm is commonly used in optimization problems. One of the metaheuristic algorithms is called Firefly Algorithm (FA). Firefly Algorithm is a nature-inspired algorithm that is derived from the characteristic of fireflies. Firefly Algorithm can be used to solve optimal power flow (OPF) problem in power system. To get the best performance, firefly algorithm can be combined with fuzzy logic. This research presents the application of hybrid fuzzy logic and firefly algorithm to solve optimal power flow. The simulation is done using the MATLAB environment. The simulations show that by using the fuzzy-firefly algorithm, the power losses, as well as the total cost, can be reduced significantly.

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