2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)最新文献

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Feature Representation for Network Intrusion Detection System Trough Embedding Neural Network 基于嵌入神经网络的网络入侵检测系统特征表示
Vian Handika, J. E. Istiyanto, Ahmad Ashari, Satriawan Rasyid Purnama, Syafiqur Rochman, Andi Dharmawan
{"title":"Feature Representation for Network Intrusion Detection System Trough Embedding Neural Network","authors":"Vian Handika, J. E. Istiyanto, Ahmad Ashari, Satriawan Rasyid Purnama, Syafiqur Rochman, Andi Dharmawan","doi":"10.1109/CENIM56801.2022.10037425","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037425","url":null,"abstract":"Computer network technology is growing rapidly, but cyberattacks are also increasing in number and variants that occur every year. Anomaly-based network intrusion detection system (NIDS) is still vulnerable to false positive rates even though it has used a machine learning approach to detect zero-day attacks on network traffic. Deep learning can provide advanced solutions to this problem. However, deep learning requires special handling to process tabular NIDS datasets with highly sparse categorical and numerical data. To overcome this, we propose a new embedding method implemented by embedding not only categorical data but also numerical data to provide the best representation features for deep learning models. The proposed method was evaluated with other deep learning and machine learning models with results outperforming all models based on the f1-score macro using the CSE-CIC-IDS-2018 dataset.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129475040","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
Medical Information System As Supporting Tele-Rehabilitation of Post Stroke Patients Using Website - Based Applications 基于网站应用的脑卒中后患者远程康复医疗信息系统
S. Wijaya, A. Arifin, Atar Babgei
{"title":"Medical Information System As Supporting Tele-Rehabilitation of Post Stroke Patients Using Website - Based Applications","authors":"S. Wijaya, A. Arifin, Atar Babgei","doi":"10.1109/CENIM56801.2022.10037423","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037423","url":null,"abstract":"The aspect of geographical limitations and the absence of digital records of the results of the rehabilitation program are the main problems in the traditional post-stroke rehabilitation process. Therefore, to overcome this, an information system is proposed as one of the supporters of the progress of the web-based telerehabilitation process. This website-based application has features such as data reports, data presentation, and storage of training outputs into database management. The output data that will be processed in the application are velocity, current, trajectory, and torque. The designed application system has also been tested using the SUS method involving 20 subjects and obtained an average value of 82.88. In the future research process, for each type of research the upper limb and lower limb will be secured into a database management. The existing data will then be integrated with the enkaku website as the main portal.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114562643","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
Exploring Backlinks Profile in Defining Metrics for Enhancing University Websites Visibility Ranking 探索反向链接配置文件的定义指标,以提高大学网站的知名度排名
Ika Nurkasanah, Radityo Prasetianto Wibowo, Rahmatsyam Lakoro, Umi Laili Yuhana, M. F. A. Kusuma, Muh. Ichlasul Amal, Siti Aminatus Zehroh, Aura Febriyanti Puspa Sari, Nurina Azyyati Riski, Tommy Nuril Hudha
{"title":"Exploring Backlinks Profile in Defining Metrics for Enhancing University Websites Visibility Ranking","authors":"Ika Nurkasanah, Radityo Prasetianto Wibowo, Rahmatsyam Lakoro, Umi Laili Yuhana, M. F. A. Kusuma, Muh. Ichlasul Amal, Siti Aminatus Zehroh, Aura Febriyanti Puspa Sari, Nurina Azyyati Riski, Tommy Nuril Hudha","doi":"10.1109/CENIM56801.2022.10037411","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037411","url":null,"abstract":"Webometrics Ranking focuses on the Open Access Initiative, where the web content impact/visibility category has the greatest weight. As webometrics committee does not publish the exact formula on visibility ranking calculation, authors conducted an in-depth exploration of the factors that affect the visibility assessment. Authors crawl data on the best three university in the world, best three and three lowest visibility ranking in Indonesia using Ahrefs tools. The exploration results found that universities with high DR and UR also have high visibility ranks. The backlinks are distributed quite a lot and consistently in the URL rating of 21–90 (for the best three visibility rank in Indonesia's and world's universities) while the three lowest has a URL Rating distribution of 11–20. On the other hand, most of the referring domains that refer to Indonesian universities are carried out by the press channels of Tirto and Tribunnews.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128323687","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
Charging Station Controller Design using Particle Swarm Optimization Algorithms for Electric Vehicles with NiMH Battery 基于粒子群算法的镍氢电池电动汽车充电站控制器设计
Nuh Enola, E. Iskandar, Ali Fatoni, A. Santoso
{"title":"Charging Station Controller Design using Particle Swarm Optimization Algorithms for Electric Vehicles with NiMH Battery","authors":"Nuh Enola, E. Iskandar, Ali Fatoni, A. Santoso","doi":"10.1109/CENIM56801.2022.10037318","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037318","url":null,"abstract":"Nowadays, electric vehicles are growing rapidly with various study about it, no exception regarding to the battery charging system. Electric vehicles use many types of battery, including NiMH battery. One of the study or research about charging system is about how to optimize battery charging using an intelligent algorithm. However, this method is rarely implemented in real-time and only through the help of the computer software. In this project, we discuss the implementation of the Particle Swarm Optimization Algorithm as a real time optimization method on the charger controller with the hope of providing solutions according to the user needs. For the 3 optimization charging conditions the prototype results in calculations with error costs of 0.33%, 7.22%, and 5.55%, respectively, compared to the results in the simulation. With this value, the implementation of PSO in real-time systems has achieved a 95% success rate.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125947961","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
Semantic Segmentation of Rice Leaf Blast Disease using Optimized U-Net 基于优化U-Net的水稻叶枯病语义分割
O. V. Putra, Moch. Nasheh Annafii, T. Harmini, N. Trisnaningrum
{"title":"Semantic Segmentation of Rice Leaf Blast Disease using Optimized U-Net","authors":"O. V. Putra, Moch. Nasheh Annafii, T. Harmini, N. Trisnaningrum","doi":"10.1109/CENIM56801.2022.10037550","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037550","url":null,"abstract":"Rice is one of the staple crops for primary food needs in Indonesia. In the rice sector, pest and disease control is essential in maximizing agricultural production potential because several cases cause a decrease in rice yields due to pests or diseases. The need for checking as anticipation of pests in rice is a concern in this study. This research was conducted with three different optimizations on several U-Net parameters for semantic segmentation, and the optimizations used include Hyperband, Random Search, and Bayesian. The results shown from the three optimization experiments show different efficiency. From our results, Random search has attained several achievements with the smallest number of parameters and the highest accuracy at 8,6 million and 98.5%, respectively. In contrast, the lowest loss value was obtained by Hyperband optimization with a value of 0.0433 each per 50 epochs. In future work, the measurement of the diseases is required.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126277560","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
Social Farming Development to Improve Farming Desire and Profit: A System Thinking Approach 社会农业发展提高农作欲望与效益:系统思考途径
E. Suryani, R. A. Hendrawan, U. Rahmawati, A. D. Wulandari, Damanhuri, S. Chou
{"title":"Social Farming Development to Improve Farming Desire and Profit: A System Thinking Approach","authors":"E. Suryani, R. A. Hendrawan, U. Rahmawati, A. D. Wulandari, Damanhuri, S. Chou","doi":"10.1109/CENIM56801.2022.10037381","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037381","url":null,"abstract":"Increasing the desire to farm to increase income is the main goal of sustainable agriculture. The main challenges include lack of adoption of modern agricultural machinery, difficulty in obtaining capital, and poor social services in farmer households. This study proposes the development of social farming by explaining the concept of multifunctional agriculture using systems thinking which can accommodate non-linear relationships between variables to overcome these problems. The scientific contribution of this research is creating policy formulations to adopt social farming by applying the concept of multifunctional agriculture. From the causal loop diagram developed, it shows that increasing the desire to farm can be done through increasing social awareness and farmers' profit. Farmers' profit can be increased by increasing productivity and minimizing cultivation costs. Further research can be done by developing stock and flow diagrams that refer to the causal loop diagrams.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114557072","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
Mechanism Development of Blood Pump and Syringe Pump in Hemodialysis Machine 血液透析机中血泵和注射泵的机理研究
Tharatya Kartika Sadhana, T. A. Sardjono, M. Fatoni
{"title":"Mechanism Development of Blood Pump and Syringe Pump in Hemodialysis Machine","authors":"Tharatya Kartika Sadhana, T. A. Sardjono, M. Fatoni","doi":"10.1109/CENIM56801.2022.10037292","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037292","url":null,"abstract":"The kidney as its fatal function to the body's metabolism, hormones, and body fluid, can be damaged and lost its function. To support kidney function, hemodialysis as renal replacement therapy can be done to treat symptoms and signs due to a low glomerular filtration rate. Therapy is done by draining blood out of the body using a blood pump with 0.1 % error with flowrate 300 ml/minute applied, to test blood pump duration, 1-minute to 5-minute duration is applied and given an average error of 0.162 %, and heparin is streamed during hemodialysis using a syringe pump with 2.476 % error for 1-minute to 5-minute testing. Half-step is applied to the driver motor stepper that control motor stepper used.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115059206","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
Autism Spectrum Disorder Detection in Children Using Fuzzy Detection Support System 基于模糊检测支持系统的儿童自闭症谱系障碍检测
Patricia Amanda, A. Arifin, Nada Fitrievatul Hikmah, M. Nuh
{"title":"Autism Spectrum Disorder Detection in Children Using Fuzzy Detection Support System","authors":"Patricia Amanda, A. Arifin, Nada Fitrievatul Hikmah, M. Nuh","doi":"10.1109/CENIM56801.2022.10037404","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037404","url":null,"abstract":"Autism Spectrum Disorder (ASD) is a developmental disability caused by differences in the brain. Autism disorders usually appear in children before the age of three to seven years. However, ASD in children is only detected after the age of ten years old. In this study, a detection system based on fuzzy logic decision support was designed to detect the severity of ASD in children. The detection process was carried out by asking parents questions about the child's condition as a detection reference taken from the ASD detection module. This system was also equipped with instrumentation in the form of wearable sensors in the form of accelerometers and gyroscopes that function to read flapping hand movement signals in children as an indication of repetitive behaviors suffered by ASD children. The results showed that the assessment form used, namely M-CHART - R, proved to be quite accurate in detecting the initial condition of the subject. The flapping hand detection sensor detected flapping hands that appeared on the subject with an average error of 0.356133 for sensor module 1 and 0.30866 for sensor module 2. The system has 83.3% accuracy. Future development can be addressed to hardware and software development as an embedded system so that the entire system can work in real-time using IoT.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"48 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129904393","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
Inductive Graph Neural Network with Causal Sampling for IoT Network Intrusion Detection System 基于因果抽样的物联网网络入侵检测系统的归纳图神经网络
Satriawan Rasyid Purnama, J. E. Istiyanto, Muhammad Alfian Amrizal, Vian Handika, Syafiqur Rochman, Andi Dharmawan
{"title":"Inductive Graph Neural Network with Causal Sampling for IoT Network Intrusion Detection System","authors":"Satriawan Rasyid Purnama, J. E. Istiyanto, Muhammad Alfian Amrizal, Vian Handika, Syafiqur Rochman, Andi Dharmawan","doi":"10.1109/CENIM56801.2022.10037304","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037304","url":null,"abstract":"The widespread use of Internet of Things (IoT) devices causes many vulnerabilities. Today's network intrusion detection techniques require a data-driven approach to deal with many variations of new attacks daily. The machine learning method performs well in anomaly-based intrusion detection systems on network traffic. Recently, traditional machine learning processes network flow data without considering the network topology. Graph-based learning is capable of processing the topology of the data. An inductive Graph Neural Network is used to process large graphs. However, sampling is very challenging in aggregating relevant information from the neighborhood, which causes frequent noise. We propose the application of causal sampling to the Inductive Graph Neural Network model, E-GraphSAGE, to obtain relevant neighboring edges according to the causal weights. Our method was evaluated on publicly available datasets ToN-IoT with improved performance over random sampling, both with and without perturbation.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127955847","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
Design of Fuzzy-PI Controller for Shoulder Exoskeleton with Motoric Progress of Rehabilitation Subject Consideration 考虑康复主体运动进程的肩部外骨骼模糊pi控制器设计
Khansa Nur Habiba, A. Arifin, Atar Babgei, Andra Risciawan, Moh Ismarintan Zazuli
{"title":"Design of Fuzzy-PI Controller for Shoulder Exoskeleton with Motoric Progress of Rehabilitation Subject Consideration","authors":"Khansa Nur Habiba, A. Arifin, Atar Babgei, Andra Risciawan, Moh Ismarintan Zazuli","doi":"10.1109/CENIM56801.2022.10037398","DOIUrl":"https://doi.org/10.1109/CENIM56801.2022.10037398","url":null,"abstract":"Exoskeleton robot can be effective in assisting or restoring paralyzed motor functions caused by stroke. The controller performance of the exoskeleton influences the rehabilitation process. For this reason, in this study, a fuzzy-PI controller system was developed to control the speed and position of the shoulder exoskeleton. The rehabilitation scheme given is flexion-extension and abduction-adduction of the shoulder. Target of ROM is sinusoidal trajectory based on the ROM that can be reached by rehabilitation subject. The optimal Kp value for position control is 9000 and the optimal Kp value for speed controller is 2000. The optimal Ki value for speed control is 100. The addition of a fuzzy-PI controller can reduce the overshoot rate up to 3.8% and reduce the rise time up to 22.2%. The RMSE of position after the application of fuzzy-PI controller is 0,0018°.","PeriodicalId":118934,"journal":{"name":"2022 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121020880","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
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