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Spatial Selection Configuration on EEG Stroke Signal 1

Spatial Selection Configuration on EEG Stroke Signal

引用

1st International Conference on Information System and Information Technology, ICISIT 2022

作者： Firdaus, Fulki Hapsari, Anggit Fauzi, Hilman Shapiai, Ibrahim Fuadah, Yunendah Telkom University Telecommunication Engineering Study Program Faculty of Electrical Engineering Bandung Indonesia Telkom University Biomedical Engineering Study Program Faculty of Electrical Engineering Bandung Indonesia Malaysia-Japan International Institute of Technology Universiti Teknologi Malaysia Electrical System Engineering Kuala Lumpur Malaysia

ISBN: (数字)9781665402002

ISBN: (纸本)9781665402002

Stroke is one of the cerebrovascular health disorders caused by a blockage of blood flow to the brain. Data from South East Asian Medical Information Center (SEAMIC) explain that the most significant stroke mortality occurred in Indonesia, Philippines, Singapore, Brunei, Malaysia, and Thailand. There are several methods for diagnosing stroke, one of which is an electroencephalograph (EEG). EEG is one of the more widely used BCI methods due to its lower price, portability, ease of use, and high temporal resolution than other methods. Most EEG require signals from various places on the scalp to achieve good performance. However, using a large number of channels can degrade signal performance in the EEG. Spatial selection can be used for channel selection in the EEG stroke signal which can then be useful for evaluation of stroke therapy. Therefore, this study will select the optimized channel using the spatial selection method to see which channels are relevant to the EEG stroke signal. Also, using the Power Spectral Density extraction feature and Extreme Learning Machine classification. The L2-norm energy calculation method gets better results than other methods. This method can also select the active channel relevant to the stroke EEG signal. The results show that the spatial selection method can increase accuracy by 15 percent and optimize the system with 37.5 percent channel reductions. © 2022 IEEE.

关键词： Learning systems

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Optimizing the Future of Production: Addressing Challenges in Job Shop Scheduling 4

Optimizing the Future of Production: Addressing Challenges i...

引用

4th International Conference on Electronic and Electrical engineering and Intelligent System, ICE3IS 2024

作者： Nurcahyadi, Teddy Blum, Christian Universitas Muhammadiyah Yogyakarta Mechanical Engineering Study Program Engineering Faculty Yogyakarta Indonesia Institut d'Investigació en Intel·ligència Artificial Consejo Superior de Investigaciones Científicas Barcelona Spain

ISBN: (纸本)9798350378368

Job shop scheduling methods are among the earliest optimization techniques that have been well-studied since 1950s. This fact reflects the prevalence of job shop scheduling problems in our daily lives, and hence, the importance of methods and tools needed to solve them. Human civilization has been evolving rapidly in the last several decades, presenting more difficult scheduling problems and the need to solve them efficiently. This article assesses the existing problems and optimization techniques in job shop scheduling. Furthermore, current and future challenges in this area are highlighted. © 2024 IEEE.

关键词： Job shop scheduling

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Web-Based Incentive Calculations System at CV Karya Prima using Prototyping Method

Web-Based Incentive Calculations System at CV Karya Prima us...

引用

Conference on New Media Studies (CoNMedia)

作者： Monica Cornelia Suryasari Information Systems Study Program Faculty of Engineering and Informatics Universitas Multimedia Nusantara Tangerang Indonesia

Consumption is an essential aspect of daily life, and fulfilling customer needs requires efficient distribution of goods. Therefore, distributors are needed and they frequently set targets for their employees to achieve, and motivation plays a significant role in employee performance. An organization that distributes goods called CV Karya Prima motivates its employees by offering incentives. However, manual incentive calculation sets out problems such as a lack of progress tracking, irregular payout dates, and probable inaccuracies. This study aims to develop a web-based incentive calculation system using the analytical hierarchy process method and a database for data retrieval. The system utilizes PHP, CodeIgniter, and MySQL and adopts the SDLC prototyping method. The developed system is focused on the sales division and variables like total sales, effective calls, calls, and outlets. The web-based system is capable of solving the issues using the features that were built based on user needs and have already been tested through user acceptance testing.

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Malaysian Sign Language Translator for Mobile Application 11th

Malaysian Sign Language Translator for Mobile Application

引用

11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021

作者： Ke, Soong Cheng Mahamad, Abd. Kadir Saon, Sharifah Fadlilah, Umi Handaga, Bana Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Johor Batu Pahat Parit Raja86400 Malaysia Informatics Study Program Faculty of Communication and Informatics Universitas Muhammadiyah Surakarta Surakarta Indonesia

ISBN: (纸本)9789811681288

The society often faces a communication barrier with the deaf and mute community due to the lack of sign language translators. Hand gestures are used as a sign language to communicate between the ordinary people and the deaf people. However, the existing way to learn sign language is ineffective and inconvenient. The number of mobile translator applications for the Malaysian Sign Language on the market is less. The proposed system contains a sign detector mechanism using Support Vector Machine (SVM) to detect and interpret Malaysian Sign Language. The software used in this project were IntelliJ IDEA and Android Studio. This project's development consists of four main phases: dataset acquisition, dataset trainer, shape classification, and sign recognition. Each character is tested ten times to measure the performance of the developed system. The application is performed using an Android smartphone and successfully tested with character A to Z in a normal light condition with a maximum distance of 0.7 m. The successfully testing rate of this developed system is 90%. This application allows people to easily communicate with the deaf community because it is user-friendly and does not require an internet connection. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Support vector machines

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Determination of bulog regional sub-division in east java using connected domination number theory 5

Determination of bulog regional sub-division in east java us...

引用

5th International Conference on Combinatorics, Graph Theory, and Network Topology, ICCGANT 2021

作者： Umilasari, Reni Saifudin, Ilham Study Program of Informatics Engineering Universitas Muhammadiyah Jember Jl. Karimata 49 Jember68121 Indonesia

Bulog is a state-owned public company engaged in food logistics. There are about 18 Bulog warehouses in East Java Province with an uneven distribution. Because the scope of Bulog's business includes logistics or warehousing, surveys and pest eradication, provision of plastic bags, transportation business, food commodity trading and retail business, there must be good coordination between regional sub-divisions and warehouse complexes. In this study, the minimum regional sub-division recommendations in the East Java region were determined using the theory of connected domination number in graphs. The location of the warehouse complex is described as the vertex and adjacent warehouse complexes are connected by edges. In this research, we also determine the connected domination number of unicyclic graph and vertex amalgamation operations for several classes of graphs. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Metals

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Natural Language Interface to Database (NLIDB) for Interrogative Sentences with Temporal Elements in Indonesian Language

Natural Language Interface to Database (NLIDB) for Interroga...

引用

2022 International Conference on Data and Software engineering, ICoDSE 2022

作者： Daniel Thamrin, Hansel Grady Widagdo, Tricya Esterina Undergraduate of Informatics Study Program Institut Teknologi Bandung Bandung Indonesia School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia

ISBN: (数字)9798350397055

ISBN: (纸本)9798350397055

Natural Language Interface to Database (NLIDB) is a solution that allows users to retrieve data from databases in natural language. Various studies were conducted to translate Indonesian sentences into database queries, but these studies still have weaknesses. In this study, we propose the translation of interrogative sentences in the temporal database accompanied by the addition of several components that can improve the ability of NLIDB. The translation process is carried out by first masking the input sentence and decomposing the sentence into a collection of syntax trees. Then, the existing parsing tree is selected and the best parsing tree will be selected. Then, the process is continued with the analysis of the query components in the interrogative sentences. The results of the analysis will be translated into parts of database query and parts of database query will be rearranged into database queries. This query will be executed and the result can be evaluated by the user and the user can provide feedback according to the system output. The built NLIDB system can translate interrogative sentences for what, who, when, where, how, if, and how many questions with the types of queries that can be handled are current state, time-slice, sequenced, and non-sequenced. © 2022 IEEE.

关键词： Syntactics

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Unraveling Game Addiction Behavior Among Digital Native Students: Leveraging Machine Learning for Insights

Unraveling Game Addiction Behavior Among Digital Native Stud...

引用

IEEE International Conference on Communication, Networks and Satellite (ComNetSat)

作者： Rona Nisa Sofia Amriza Cut Alna Fadhilla Department of Information System Telkom University Purwokerto Indonesia Informatics Study Program Faculty of Engineering Universitas Samudra Aceh Indonesia

ISBN: (数字)9798350368086

ISBN: (纸本)9798350368093

The allure of gaming often leads to excessive engagement, which can result in addictive and problematic behaviors, negatively impacting academic performance and school achievements. While gaming becomes increasingly prevalent, concerns about game addiction have grown, particularly among students. The excessive and obsessive usage of video games that characterizes game addiction can have detrimental effects like academic deterioration, social isolation, and mental health problems. This study seeks to elucidate the complex patterns of game addiction among digital-native students by utilizing advanced machine learning techniques. We employed Random Forest, SVM, Decision Tree, and Naïve Bayes algorithms to classify game addiction data from students. To address the class imbalance, we applied Borderline-SMOTE. Our results demonstrate that decision tree and random forest outperformed other machine learning approaches, achieving an accuracy of $\mathbf{9 5 \%}$ in classifying game addiction. These findings contribute to the expanding body of knowledge on game addiction. Furthermore, in order to provide real-time monitoring and intervention for students who are at risk of developing a game addiction, future research may investigate incorporating these findings into educational platforms or applications.

关键词： Support vector machines Video games Addiction Games Real-time systems Vectors Bayes methods Decision trees Older adults Random forests

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Benchmarking A New Dataset for Coffee Bean Defects Classification Based on SNI 01-2907-2008 2

Benchmarking A New Dataset for Coffee Bean Defects Classific...

引用

2nd International Conference on Information Technology Research and Innovation, ICITRI 2023

作者： Antara Kesiman, Made Windu Sulaiman, Ismail Maysanjaya, I Made Dendi Dermawan, Kadek Teguh Universitas Pendidikan Ganesha Virtual Vision Image and Pattern Research Group Dept. of Informatics Engineering Bali Indonesia Universitas Syiah Kuala Program Study Teknologi Hasil Pertanian Faculty of Agriculture Banda Aceh Indonesia

ISBN: (纸本)9798350324945

To develop a device which can determine automatically the quality of coffee beans, the module to identify and classify coffee bean defects based on digital images processing is needed. For this reason, a new dataset of coffee bean defect images is built in this research. 3 classes were defined and obtained from the image sample of coffee beans, namely good coffee beans, defective coffee beans, and non-valid coffee beans. Moreover, specifically for the class of defective coffee beans, the new dataset also provides ground truth image samples for 17 classes of coffee bean with defects which was defined by SNI 01-2907-2008. Two Convolutional Neural Network (CNN) architecture models, InceptionResnetV2 and MobileNet, were tested to do an initial benchmarking process to classify coffee beans and their types of defects. Both architectures show very promising results to classify coffee bean images in 3-classes. With 92.52% of accuracy, MobileNet outperforms slightly InceptionResnetV2. Both architectures are fairly easy to classify the 3-classes of coffee bean images. But the experimental results indicate that the task of classifying more specifically the 17 classes of different types of defects in coffee beans is still quite difficult. Although the accuracy of InceptionResnetV2 of 53.35% seems much higher than the accuracy of MobileNet, the two architectures still seem to be struggling to identify each type of coffee bean defect. This benchmarking results will serve as the initial basis that helps to analyze the level of complexity of problems in the coffee bean new dataset, as well as the basis for further investigations and research processes to improve the performance of the future coffee bean classifier machine. © 2023 IEEE.

关键词： Defects

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Multiplayer Ludo Game Application Based on Mixed Reality Using UrhoSharp and RabbitMQ Message Broker 9

Multiplayer Ludo Game Application Based on Mixed Reality Usi...

引用

9th International Conference on Wireless and Telematics, ICWT 2023

作者： Sukoco, Agus Apriliansyah, Aghil Alfhauzhi Nurmalasari, Rin Rin Pratama, Vitradisa Prihatmanto, Ary Setijadi Juhana, Agus School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Uin Sunan Gunung Djati Department of Electrical Engineering Bandung Indonesia Universitas Pendidikan Indonesia Multimedia Education Study Program Bandung Indonesia

ISBN: (纸本)9798350305029

This paper describes the design and implementation of the Ludo game on Microsoft Hololens to create a mixed reality-based application with Hololens technology connected to many services. The Ludo game is made for two players, with player one playing on Hololens and player two sending and receiving player one's data via the console. The Ludo game with Hololens is one of the results of the development of Hololens technology and the RabbitMQ Messaging Server. The Ludo game is made on Visual Studio software using UrhoSharp Framework and RabbitMQ Messaging Server service with the AMQP protocol. As application frameworks, Hololens and UrhoSharp function as devices for visualization and running games. At the same time, the RabbitMQ Messaging Server and AMQP protocol serve as services that connect two players from the Hololens and console by sending the data needed by the application. The test results show that Hololens is running successfully and communicating with other console players. Thus, the results obtained are the purpose of this paper, which is to create a mixed reality-based application with Hololens technology connected to many services. © 2023 IEEE.

关键词： Mixed reality

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Sentiment Analysis of Cooking Oil Price Policy in Indonesia using Word2Vec Feature Extraction and Bidirectional Long Short Term Memory 10

Sentiment Analysis of Cooking Oil Price Policy in Indonesia ...

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10th International Conference on Advanced informatics: Concept, Theory and Application, ICAICTA 2023

作者： Sugiarto, Dedy Utami, Ema Yaqin, Ainul Raharjo, Suwanto Universitas Trisakti Faculty of Industrial Technology DKI Jakarta Indonesia Universitas Amikom Yogyakarta Master Program of Informatics Engineering Yogyakarta Indonesia Informatics IST AKPRIND Yogyakarta Yogyakarta Indonesia

ISBN: (纸本)9798350329919

The policy of the Ministry of Trade of the Republic of Indonesia which sets the highest retail price for cooking oil and then cancels it in early 2022 due to people's complaints about the difficulty of getting cooking oil in the market has received many responses from the public via social media. This study conducts sentiment analysis using Word2Vec and Bidirectional Long Short Term Memory (BLSTM) with the aim of studying the public's response to the removal of the highest retail price policy and effect of both skip-gram (SG) and continuous bag-of-words (CBOW), window size and dimension to the word similarity and accuracy. Data taken via Twitter in March 2022. The data then goes through preprocessing stages, manual labeling by experts, and word embedding using Word2Vec to be further classified using BLSTM. Data labeling produces imbalanced data where the largest is neutral sentiment (53%) followed by negative (27%) and positive (20%). ome of the words such as 'mafia', 'mahal', 'langka', 'tangkap', 'bongkar', and 'mendag' could become the government's attention. The similarity value of the SG model tends to have a higher value than CBOW at a lower word vector dimension. The model that gives the best performance results is the Word2Vec model with 50 dimensions, SG architecture and window size 5. This is shown in the accuracy of 0.71 which is the highest value and only shows slight signs of overfitting. Symptoms of over fitting will be more visible with increasing dimensions. © 2023 IEEE.

关键词： Sentiment analysis

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