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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

Object Detection of Omnidirectional Vision Using PSO-Neural Network for Soccer Robot Novendra Setyawan; Nuralif Mardiyah; Khusnul Hidayat; Nurhadi Nurhadi; Zulfatman Has
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

The vision system in soccer robot is needed to recognize the object around the robot environment. Omnidirectional vision system has been widely developed to find the object such as a ball, goalpost, and the white line in a field and recognized the distance and an angle between the object and robot. The most challenging in develop Omni-vision system is image distortion resulting from spherical mirror or lenses. This paper presents an efficient Omni-vision system using spherical lenses for real-time object detection. Aiming to overcome the image distortion and computation complexity, the distance calculation between object and robot from the spherical image is modeled using the neural network with optimized by particle swarm optimization. The experimental result shows the effectiveness of our development in the term of accuracy and processing time.

Adventure Game Show:Audience Involvement, Destination Image and Audience Behavior Irwansyah Irwansyah; Dwininta Widyastuti
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Currently the popularity of the show television programs is on the rise. This entertainment program attracts viewers' attention because it is dominated by games and usually involves the physical activity of the participants of the game show competition. The location of the shooting event also varied, including adventure-themed tourism destinations involving natural beauty. This study uses an experimental study to measure the behavior intentions of game show viewers of adventure tours that aired in the program. This study proves that the relationship of audience involvement and behavioral intentions to travel to tourist destinations is mediated by cognitive and affective imagery. In particular, cognitive imagery can be significantly effects affective imagery, and both cause with behavioral intentions. Television media deals with psychological process travel, so it is found that audience involvement leads to audience behavior intentions. Meanwhile, the image of a tourist destination mediates this relationship, the image that gives the perception of the cognitive image and the affective image, so that these two variables are found to be important mediators. Therefore, the management of television programs as media messengers need to focus on creating more positive picture of adventure-themed tourism destinations, which will lead to the formation of positive affective image also to the location. The higher the image of the tourist destination for the viewers will lead to higher travel intentions in the future.

Measuring Knowledge Management Readiness of Indonesia Ministry of Trade Dana Indra Sensuse; Jani Richi R. Siregar; Ronny Ansis; Jonathan Sofian Lusa; Pudy Prima
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Knowledge is one of the important assets for organization. Managing knowledge properly will enable the organization to achieve its objectives effectively and efficiently. Since risk of failed implementation of Knowledge Management (KM) might occur, organization needs to measure their KM Readiness beforehand to successfully implement KM. This study is intended to measure KM Readiness in government agency, namely Directorate of Bilateral Negotiations in Ministry of Trade. The research model for measuring KM readiness was developed based on previous relevant studies. KM enablers, individual acceptance, and KM SECI processes were used to develop the model and research instruments. KM Readiness in government agency was measured by accommodating factor analysis in research model. Data were collected from 53 employees as valid samples. The result shows that KM Readiness level of the Directorate of Bilateral Negotiations in Ministry of Trade is "ready but needs a few improvement".

Decision Support System Scheme Using Forward Chaining And Simple Multi Attribute Rating Technique For Best Quality Cocoa Beans Selection Januar Adi Putra; Agustinus Mariano Galwargan; Nelly Oktavia Adiwijaya
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Cocoa is a crop plantation originating from the tropical forests of Central America and northern part of South America. In general, cocoa grouped into three types namely Forastero, Criollo, and Trinitario which is the result of a cross between Forastero with Criollo. Cocoa (Theobroma cacao L.) is one of the comodity that has an important role in the Indonesian economy. The Indonesian's processing directorate, and the programs related to the 2015-2019 development are the Increased Production and Productivity of Sustainable Plantation Crops. This program is conducted to increase the production, productivity of cocoa and other plantation crops. One of the focus activities is Inventory of postharvest data of plantation. In the selection of cocoa beans based on the best quality, Indonesian Coffee and Cocoa Research Center is often missed so that there are some cocoa beans that should not pass the quality but still processed into processed products. In that case we proposed a new scheme for Decision Support System by using Forward Chaining method and Simple Multi Attribute Rating Technique (SMART). The combination of these two methods proved to be able to do a very good selection of cocoa beans. Where the selection is done with two stages proven can really filter the cocoa beans are good for health.

Visual Emotion Recognition Using ResNet Azmi Najid; Dina Chahyati
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Given an image, humans have emotional reactions to it such as happy, fear, disgust, etc. The purpose of this research is to classify images based on human's reaction to them using ResNet deep architecture. The problem is that emotional reaction from humans are subjective, therefore a confidently labelled dataset is difficult to obtain. This research tries to overcome this problem by implementing and analyzing transfer learning from a big dataset such as ImageNet to relatively small visual emotion dataset. Other than that, because emotion is determined by low-level and high-level features, we will make a modification to a pretrained residual network to better utilize low-level and high-level feature to be used in visual emotion recognition. Results show that general (low-level) features and specific (high-level) features obtained from ImageNet object recognition can be well utilized for visual emotion recognition.

Personal Extreme Programming with MoSCoW Prioritization for Developing Library Information System Gita Marthasari; Wildan Suharso; Frendy Ardiansyah Ardiansyah
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Software development projects require experience and knowledge of the developer or clients related to the system which will be developed. Unclear clients' needs potentially emerge many changes of needs during the process of development which can not be resolved by using conventional software development methodology. The implementation on the less significant requirements either from the clients or the system cause the development of the project took a long time. In this paper, we combine personal extreme programming (PXP) methodology with Moscow technique to overcome those problems. PXP is suitable to use in small to medium-sized projects if the clients do not know in detail about the needs in the development of application, application needed in relatively quick time, and the development phase is adjusted to use by a single programmer. Moscow technique was used for prioritizing requirements elicited in PXP methodology. Moscow is a method to determine priority needs based on cost, risk, and business value. This technique was applied during the planning phase of PXP to develop library application, thereby it reduced the time of project completion. The result was a library application suited the needs of clients to support business processes at Batu State Attorney's library.

Winter Exponential Smoothing: Sales Forecasting on Purnama Jati Souvenirs Center Fahrobby Adnan; Putri Damayanti; Gama Fajarianto; Antonius Cahya Prihandoko
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Forecasting is the process of making predictions of the future based on past and present data and most commonly by analysis of trends. In sales area, an accurate sales forecasting system will help the company to improve the customers' satisfaction, reduce destruction of products, increase sales revenue and make production plan efficiently. Purnama Jati is a typical Jember souvenir place like "prol tape", "pia tape", "brownies tape" and so forth. Every day, sales on every outlet is uncertain so Purnama Jati repeatedly send to the outlets if the stock has run out. This research will focuse on "prol tape" cake, "pia tape" cake product as the research object. In this research we will use winter exponential smoothing as a forecasting method due to suitable character with the case.

Combined Computational Intelligence Approach for the Power System Optimization Problem Arif Afandi; Irham Fadlika; Langlang Gumilar; Yuni Rahmawati; Quota Alief Sias; Irawan Dwi Wahyono; Yunis Sulistyorini; Farrel Candra WA; Michiko Ryuu Sakura A
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

This paper presents an adoption of a natural phenomenon as Thunderstorm Algorithm (TA) which is applied to solve a problem of the power production composition under various constraints. This work also introduces artificial salmon tracking algorithm (ASTA) for defining the optimal strategy of the power system on the power consumption. Both algorithms are tested on the IEEE-62 bus system as a selected structure for the mathematical cased model. By considering all parameters, results show that ASTA can be applied to predict the power consumption and TA also has good performances while searching the optimal solution. Moreover, the power production can be presented throughout an economic dispatch problem. Technically, this computation demonstrates the optimal solution with fast convergence and short time consumption. These processes also perform smooth and stable characteristics for the searching completion.

CountNet: End to End Deep Learning for Crowd Counting Bryan Wilie; Samuel Cahyawijaya; Widyawardana Adiprawita
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

We approach crowd counting problem as a complex end to end deep learning process that needs both a correct recognition and counting. This paper redefines the crowd counting process to be a counting process, rather than just a recognition process as previously defined. Xception Network is used in the CountNet and layered again with fully connected layers. The Xception Network pre-trained parameter is used as transfer learning to be trained again with the fully connected layers. CountNet then achieved a better crowd counting performance by training it with augmented dataset that robust to scale and slice variations.

A Feature-Based Fragile Watermarking of Color Image for Secure E-Government Restoration Lusia Rakhmawati; Wirawan Wirawan; Suwadi Suwadi; Titiek Suryani; E Endroyono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

this research developed a method using fragile watermarking technique for color images to achieve secure e-government tamper detection with recovery capability. Before performing the watermark insertion process, the RGB image is converted first into YCbCr image. The watermark component is selected from the image feature that approximates the original image, in which the chrominance value features as a watermark component. For a better detection process, 3-tuple watermark, check bits, parity bits, and recovery bits are selected. The average block in each 2 x 2 pixels is selected as 8 restoration bits of each component, the embedding process work on the pixels by modifying the pixels value of three Least Significant Bit (LSB) . The secret key for secure tamper detection and recovery, transmitted along with the watermarked image, and the algorithm mixture is used to extract information at the receiving end. The results show remarkably effective to restore tampered image.

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