2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)最新文献_第4页

Prototype Design of Mobile Application ‘Hydrolite’ for Hydroponics Marketplace 水培市场移动应用程序“Hydrolite”的原型设计

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251303

A. Permana, R. Taufiq, Salsabila Ramadhina

引用次数: 7

Potential for Reducing CO2 Emissions in the Operation of Subcritical Power Plants into Supercritical 亚临界电厂转超临界运行中减少二氧化碳排放的潜力

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251908

Sunaryo, A. Putra, Arief Marwanto, Muhamad Haddin

引用次数: 1

Quality in Use of Digital Wallet based on ISO/IEC 25022 基于ISO/IEC 25022的数字钱包的使用质量

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251300

Windy Rahmadia Pradanita, S. Rochimah

{"title":"Quality in Use of Digital Wallet based on ISO/IEC 25022","authors":"Windy Rahmadia Pradanita, S. Rochimah","doi":"10.23919/EECSI50503.2020.9251300","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251300","url":null,"abstract":"The growth of financial technology (fintech) has led to an increase in cashless transactions. One of the technology that is developing and widely used is digital wallets. Because of the frequent use of digital wallet services, an assessment to measure quality in use needs to be done. Quality in use relates to user interaction with software when the product is used. The assessment standard used to measure quality in use is ISO/IEC 25022. The criteria assessed are effectiveness, efficiency, satisfaction, and freedom from risk. To strengthen the results obtained, a correlation between the existing criteria and the quality in use of digital wallets is sought. From these results, it will be known which criteria have the highest correlation to the quality in use of digital wallets. This study does not focus on assessing the quality in use of each digital wallet, but on digital wallets globally (in this study the digital wallets used are OVO, Gopay, and Dana) because after the results of the questionnaire, almost all respondents use more than one digital wallet, even besides the mentioned digital wallets. The conclusion obtained in this study is that digital wallet product users are satisfied with the use of digital wallets although there are still some risks that may arise.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"16 1","pages":"282-286"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80338433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Steady-state response feature extraction optimization to enhance electronic nose performance 提高电子鼻性能的稳态响应特征提取优化

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251887

D. K. Agustika, S. Hidayat, K. Triyana, D. Iliescu, M. Leeson

{"title":"Steady-state response feature extraction optimization to enhance electronic nose performance","authors":"D. K. Agustika, S. Hidayat, K. Triyana, D. Iliescu, M. Leeson","doi":"10.23919/EECSI50503.2020.9251887","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251887","url":null,"abstract":"Feature extraction of electronic nose (e-nose) output response aims to reduce information redundancy so that the e-nose performance can be improved. The use of different sensor types and sample targets can affect the optimization of feature extraction. This research used six types of metal oxide sensors, TGS 813, 822, 825, 826, 2620, and 2611 in an e-nose system to detect three types of herbal drink. Five kinds of feature extraction methods on the original response curve in a steady-state response were used, namely, baseline difference, logarithmic difference, local normalization, global normalization, and global autoscaling. The results of feature extraction were fed into a Principal Component Analysis (PCA) system. As a result, global autoscaling and normalization had the highest total sum of the first and second principal components of 96.96%, followed by local normalization (90.18%), logarithm, and baseline difference (88.92% and 79.26%, respectively). The validation of PCA results was performed using a Backpropagation Neural Network (BPNN). The highest accuracy, 97.44%, was obtained from the global autoscaling method, followed by global normalization, local normalization, logarithm, and baseline difference, with an accuracy level of 94.87%, 92.31 %, 89.74%, and 82.05%, respectively. This demonstrates that the selection of the feature extraction method can affect the classification results and improve e-nose performance.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"26 1","pages":"144-149"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83031021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Smart Navigation Equipment Monitoring System 智能导航设备监控系统

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251297

Muhammad Nor Arif Sulaiman, T. Adiono

引用次数: 0

Semantic Classification of Scientific Sentence Pair Using Recurrent Neural Network 基于递归神经网络的科学句对语义分类

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251897

Agung Besti, Ridwan Ilyas, Fatan Kasyidi, E. C. Djamal

{"title":"Semantic Classification of Scientific Sentence Pair Using Recurrent Neural Network","authors":"Agung Besti, Ridwan Ilyas, Fatan Kasyidi, E. C. Djamal","doi":"10.23919/EECSI50503.2020.9251897","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251897","url":null,"abstract":"One development of Natural Language Processing is the semantic classification of sentences and documents. The challenge is finding relationships between words and between documents through a computational model. The development of machine learning makes it possible to try out various possibilities that provide classification capabilities. This paper proposes the semantic classification of sentence pairs using Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM). Each couple of sentences is turned into vectors using Word2Vec. Experiments carried out using CBOW and Skip-Gram to get the best combination. The results are obtained that word embedding using CBOW produces better than Skip-Gram, although it is still around 5%. However, CBOW slows slightly at the beginning of iteration but is stable towards convergence. Classification of all six classes, namely Equivalent, Similar, Specific, No Alignment, Related, and Opposite. As a result of the unbalanced data set, the retraining was conducted by eliminating a few classes member from the data set, thus providing an accuracy of 73 % for non-training data. The results showed that the Adam model gave a faster convergence at the start of training compared to the SGD model, and AdaDelta, which was built, gave 75% better accuracy with an F1-Score of 67%.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"36 1","pages":"150-155"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81431100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Exploring Success Factor for Mobile based Smart Regency Service using TRUTAUT Model Approach 利用TRUTAUT模型方法探索基于移动设备的智能应急服务的成功因素

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251886

A. Darmawan, D. Siahaan, T. D. Susanto, Hoiriyah Hoiriyah, B. Umam, Anwari Anwari

{"title":"Exploring Success Factor for Mobile based Smart Regency Service using TRUTAUT Model Approach","authors":"A. Darmawan, D. Siahaan, T. D. Susanto, Hoiriyah Hoiriyah, B. Umam, Anwari Anwari","doi":"10.23919/EECSI50503.2020.9251886","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251886","url":null,"abstract":"Currently, almost every country struggles to apply city management to the concept of intelligent cities. Several previous studies have modelled the success, maturity, and success of information systems to use smart city principles. However, there are significant differences between city and district definition in terms of governance frameworks, regional size, livelihood differences, population, socio-economic, and socio-cultural dimensions. Therefore, work on the Smart District IT assessment requires new and unique studies that can differ substantially from smart cities. This study aims to explore the determinants of the success of Smart Regency services with mobile technology. The model and approach are the TRUTAUT model, which combines the concepts for the TRI and the UTAUT model. Two hundred eighty-nine participants could collect data with a smart cellular district service system - data processing using the SmartPLS v.3.2.8 software. Recent findings indicate that the variables proposed in the TRUTAUT model are a positive and essential relation. This study helps to determine the success of the application of intelligent mobile regional services applications. This study confirms that policymakers pay more considerable attention to critical questions that affect the district's smart cellular services' success.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"37 1","pages":"250-256"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82444108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Automatic Grading System for Spreadsheet Formula 自动评分系统的电子表格公式

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251906

Kurniandha Sukma Yunastrian, Saiful Akbar, F. Arifiansyah

引用次数: 0

Implementation of Secure Work From Home System Based on Blockchain using NS3 Simulation 基于区块链的安全在家办公系统的NS3仿真实现

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251877

Mega Apriani, Diwandaru Rousstia, Fajar Achmad Rifai, R. Harwahyu, R. F. Sari

引用次数: 3

Performance Comparison of Schedulers in MmWave Communication using NS-3 NS-3毫米波通信调度器性能比较

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251910

Victor Lamboy Sinaga, Rakhmat Yuniarto, T. Hermawan, R. Harwahyu, R. F. Sari

{"title":"Performance Comparison of Schedulers in MmWave Communication using NS-3","authors":"Victor Lamboy Sinaga, Rakhmat Yuniarto, T. Hermawan, R. Harwahyu, R. F. Sari","doi":"10.23919/EECSI50503.2020.9251910","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251910","url":null,"abstract":"Millimeter-wave (mmWave) has proven to provide the bandwidth requirement for the new radio (NR) on 5G. MmWave has been developed as a new technology to support enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), and ultra-reliable low latency communication (URLLC). Since using a high frequency, mmWave also has some disadvantages that could not be avoided, such as small coverage, high signal attenuation, limited against some obstacles, and sensitive to the influence of signal quality. This paper discusses the effect of signal quality on 5G performance using mmWave while sending or receiving packet data by using three types of the scheduler, such as Round Robin, Proportional Fairness, and Max Rate scheduler. Signal quality will impact the value of modulation and coding scheme (MCS) that will be used. Our experiments using NS-3 based on the scenario showed that in the same location and number of UEs, performance throughput using Round Robin and Max Rate with excellent signal strength could reach the maximum throughput. The use of Proportional Fairness could lead only to reaching 50% of the maximum throughput. On the other hand, the use of the Proportional Fairness scheduler causes the weak signal to be unstable. Using Round Robin scheduler, the throughput is more stable. Different from the result using the Max Rate scheduler, the UE with the best signal quality compared to other UEs, was the only UE that get the resources allocation.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"8 1","pages":"31-37"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78564466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0