Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872806
Rd Yovi Manova, Edi Sukmadirana, Nurma Siti Nurmanah
Software Defined – Wide Area Network (SDWAN) implementation is growing each year as one of the options for enterprise to have hybrid and redundant connection between traditional WAN and Internet. The cloud computing services, whether it is IaaS, PaaS, or SaaS has attracted most of enterprise to separate the corporate data connection from private WAN to public internet securely. This dual data traffic still can be managed by enterprise router, but it will require manual routing or at lease delay with complicated rule to mitigate any link problem. SD-WAN as the development of SDN in wide area network, have the solution to solve the manual routing data, by putting the control plane in a software environment to manage the data traffic virtually. In Indonesia, the SD-WAN technology has been introduced by several vendors and operators, some enterprise still reluctance considering the security of enterprise data through public internet service, and some of them still questioning the Quality of Services compare to legacy or traditional WAN services. Therefore, this research will perform the Quality of Service and Performance of SD-WAN, compare to traditional Multiprotocol Label Switching (MPLS) link and Ethernet over Internet Protocol (EoIP) as one of the contenders. The object of the research is an active WAN of one of Indonesian company, that having those three connections between Jakarta and Surabaya. The QoS and performance are measured using ITU- T G.1010 standard as the reference.
软件定义广域网(SDWAN)作为企业在传统广域网和Internet之间建立混合冗余连接的选择之一，其实现每年都在增长。云计算服务，无论是IaaS、PaaS还是SaaS，都吸引了大多数企业将企业数据从私有广域网安全地连接到公共互联网。这种双重数据流量仍然可以由企业路由器管理，但它将需要手动路由或至少延迟与复杂的规则，以减轻任何链路问题。SD-WAN作为广域网中SDN的发展，解决了人工路由数据的问题，通过将控制平面置于软件环境中对数据流量进行虚拟管理。在印度尼西亚，SD-WAN技术已经被一些供应商和运营商引入，一些企业仍然不愿意通过公共互联网服务考虑企业数据的安全性，其中一些企业仍然质疑与遗留或传统WAN服务相比的服务质量。因此，本研究将执行SD-WAN的服务质量和性能，与传统的多协议标签交换(MPLS)链路和以太网互联网协议(EoIP)作为竞争者之一。本研究的对象是印度尼西亚一家公司的活跃WAN，该公司在雅加达和泗水之间有这三个连接。以ITU- T G.1010标准为基准进行QoS和性能的测量。
{"title":"Comparative Analysis of Quality of Service and Performance of MPLS, EoIP and SD-WAN","authors":"Rd Yovi Manova, Edi Sukmadirana, Nurma Siti Nurmanah","doi":"10.1109/ICISIT54091.2022.9872806","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872806","url":null,"abstract":"Software Defined – Wide Area Network (SDWAN) implementation is growing each year as one of the options for enterprise to have hybrid and redundant connection between traditional WAN and Internet. The cloud computing services, whether it is IaaS, PaaS, or SaaS has attracted most of enterprise to separate the corporate data connection from private WAN to public internet securely. This dual data traffic still can be managed by enterprise router, but it will require manual routing or at lease delay with complicated rule to mitigate any link problem. SD-WAN as the development of SDN in wide area network, have the solution to solve the manual routing data, by putting the control plane in a software environment to manage the data traffic virtually. In Indonesia, the SD-WAN technology has been introduced by several vendors and operators, some enterprise still reluctance considering the security of enterprise data through public internet service, and some of them still questioning the Quality of Services compare to legacy or traditional WAN services. Therefore, this research will perform the Quality of Service and Performance of SD-WAN, compare to traditional Multiprotocol Label Switching (MPLS) link and Ethernet over Internet Protocol (EoIP) as one of the contenders. The object of the research is an active WAN of one of Indonesian company, that having those three connections between Jakarta and Surabaya. The QoS and performance are measured using ITU- T G.1010 standard as the reference.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134310296","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872796
Kadek Ari Sudama, M. Rivai, Dava Aulia, T. Mujiono
Hydrogen gas leaks in a closed room can pose a fire hazard and poor air quality. The concentration of hydrogen gas of 4-75% in the air is highly flammable and can cause explosions. An electronic nose system consisting of gas sensors array and a neural network has been built to detect hydrogen gas leaks in a room. Data from each sensor is used as input for the classification of gases on the neural network. Proportional-integral-derivative (PID) method is applied to control the exhaust fan to eliminate hydrogen gas leaks in the room. The electronic nose and PID control are implemented on the Arduino Nano microcontroller. The experiment results showed that this system could classify several gases such as hydrogen gas, vehicle smoke, and perfume with a success rate of 86.67%. The PID control becomes active when hydrogen gas with concentrations above 100 ppm has been classified. These results can minimize and prevent hydrogen gas leaks and maintain good indoor air quality.
{"title":"Electronic Nose Based on Gas Sensor Array and Neural Network for Indoor Hydrogen Gas Control System","authors":"Kadek Ari Sudama, M. Rivai, Dava Aulia, T. Mujiono","doi":"10.1109/ICISIT54091.2022.9872796","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872796","url":null,"abstract":"Hydrogen gas leaks in a closed room can pose a fire hazard and poor air quality. The concentration of hydrogen gas of 4-75% in the air is highly flammable and can cause explosions. An electronic nose system consisting of gas sensors array and a neural network has been built to detect hydrogen gas leaks in a room. Data from each sensor is used as input for the classification of gases on the neural network. Proportional-integral-derivative (PID) method is applied to control the exhaust fan to eliminate hydrogen gas leaks in the room. The electronic nose and PID control are implemented on the Arduino Nano microcontroller. The experiment results showed that this system could classify several gases such as hydrogen gas, vehicle smoke, and perfume with a success rate of 86.67%. The PID control becomes active when hydrogen gas with concentrations above 100 ppm has been classified. These results can minimize and prevent hydrogen gas leaks and maintain good indoor air quality.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125306638","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872884
Arsy Yudha Prinanto, M. Rivai, Rachmad Setiawan
The magnetron transmitter system is one of the most important components of weather radar. Monitoring the condition of the system is crucial to ensure the radar is operating normally. In this study, the temperature monitoring of the magnetron transmitter system was carried out. Thermal camera MLX90640 accompanied by NodeMCU ESP32 microcontroller provides a temperature matrix, which can represent the overall temperature of the radar system. The diagnosis system is built based on a neural network consisting of a hidden layer, and an output layer that classifies six system conditions. The results of this study showed that the thermal camera can measure the temperature of the magnetron transmitter system. This system can obtain 100% accuracy in identifying the conditions of the magnetron transmitter system, namely magnetron on, magnetron off, radar off, modulator power supply overheat, switch array unit overheat, and signal processing faulty. This innovation is expected to be early detection of an anomaly that occurs in the magnetron transmitter system so that it can minimize downtime to make repairs due to the unpreparedness of spare parts.
{"title":"Diagnostics of Magnetron Transmitter System using Thermal Camera and Neural Network","authors":"Arsy Yudha Prinanto, M. Rivai, Rachmad Setiawan","doi":"10.1109/ICISIT54091.2022.9872884","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872884","url":null,"abstract":"The magnetron transmitter system is one of the most important components of weather radar. Monitoring the condition of the system is crucial to ensure the radar is operating normally. In this study, the temperature monitoring of the magnetron transmitter system was carried out. Thermal camera MLX90640 accompanied by NodeMCU ESP32 microcontroller provides a temperature matrix, which can represent the overall temperature of the radar system. The diagnosis system is built based on a neural network consisting of a hidden layer, and an output layer that classifies six system conditions. The results of this study showed that the thermal camera can measure the temperature of the magnetron transmitter system. This system can obtain 100% accuracy in identifying the conditions of the magnetron transmitter system, namely magnetron on, magnetron off, radar off, modulator power supply overheat, switch array unit overheat, and signal processing faulty. This innovation is expected to be early detection of an anomaly that occurs in the magnetron transmitter system so that it can minimize downtime to make repairs due to the unpreparedness of spare parts.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117091118","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872874
Devina Arnyndiasari, R. Ferdiana, P. Santosa
Software development is one of the work practices in a company’s startup, academics, and industries. Agile is a software development methodology that is currently quite popular. Agile development practices existing methodologies include Test-Driven Development (TDD), Behavior-Driven Development (BDD), Domain-Driven Design (DDD), and Model-Driven Development (MDD). Each software development practice is unique as it could hinder or contribute greatly to the creation of said software. Agile is a consideration for developers when selecting appropriate development practices due to the breadth of available practices. Thus, this study identifies the characteristics and effectiveness of Agile methods. Our opinion is that this study can help software developers to better understand the challenges of each agile practices and implement them to create better optimized softwares.
{"title":"Software Practices For Agile Developers: A Systematic Literature Review","authors":"Devina Arnyndiasari, R. Ferdiana, P. Santosa","doi":"10.1109/ICISIT54091.2022.9872874","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872874","url":null,"abstract":"Software development is one of the work practices in a company’s startup, academics, and industries. Agile is a software development methodology that is currently quite popular. Agile development practices existing methodologies include Test-Driven Development (TDD), Behavior-Driven Development (BDD), Domain-Driven Design (DDD), and Model-Driven Development (MDD). Each software development practice is unique as it could hinder or contribute greatly to the creation of said software. Agile is a consideration for developers when selecting appropriate development practices due to the breadth of available practices. Thus, this study identifies the characteristics and effectiveness of Agile methods. Our opinion is that this study can help software developers to better understand the challenges of each agile practices and implement them to create better optimized softwares.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130400482","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872719
Gregorius Kevin Satrya Ananta, Y. Kusumawati, A. Pramono
Art Block problems occur until today in the design world, where designers struggle to find ideas. Sometimes, designers open social media to solve art block problems. But the solution they have are not effective enough to increase their creativity and start their work, because the search engine could not help them enough, and the lack of others’ opinions about each other’s work. The researcher came out with the idea to create an application that can solve art block problems by increasing the work of the search engine, widening the category, and adding the Art Helper feature where designers can discuss their work and can help others who needed help. By using design thinking methods this research proposed Artlution mobile apps design concept, meaning a solution for your art problems. Hopefully, this research can be used as a recommendation for further development to make the designer relatively more creative.
{"title":"Artlution: Architecture Design of Mobile Apps for Artblock Problems","authors":"Gregorius Kevin Satrya Ananta, Y. Kusumawati, A. Pramono","doi":"10.1109/ICISIT54091.2022.9872719","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872719","url":null,"abstract":"Art Block problems occur until today in the design world, where designers struggle to find ideas. Sometimes, designers open social media to solve art block problems. But the solution they have are not effective enough to increase their creativity and start their work, because the search engine could not help them enough, and the lack of others’ opinions about each other’s work. The researcher came out with the idea to create an application that can solve art block problems by increasing the work of the search engine, widening the category, and adding the Art Helper feature where designers can discuss their work and can help others who needed help. By using design thinking methods this research proposed Artlution mobile apps design concept, meaning a solution for your art problems. Hopefully, this research can be used as a recommendation for further development to make the designer relatively more creative.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115795547","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}
Builders are workers with specific expertise in development. Community needs for workers with special skills to repair parts of homes remain difficult to find due to space and space constraints. In the current era of the Covid-19 pandemic, there are many people like construction workers who want to find work, and many people who need construction workers to repair parts of their homes but are not sure if construction workers are performing well or not well recruited by them. In this study, the authors propose an application to understand how construction workers can be found through an online application, and how potential clients can find suitable and trustworthy contractors. Smartphone users only need a smartphone and an internet connection to access this HoMain app. The purpose of this study is to design an online application for a mobile-based construction service ordering system to support the needs of the community and builders during construction work. With this app, people can easily order construction services based on online location. The HoMain application development method adopts the Rapid Application method, and the application development is relatively fast and efficient.
{"title":"Information System Analysis And Design For Mobile-Based Homain Applications","authors":"Muhammad Alttha Ikhsan, Daffa Albaihaqi Santoso, Fauzan Farrel Maulana Ruchiyat, Henkie Ongowarsito","doi":"10.1109/ICISIT54091.2022.9872900","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872900","url":null,"abstract":"Builders are workers with specific expertise in development. Community needs for workers with special skills to repair parts of homes remain difficult to find due to space and space constraints. In the current era of the Covid-19 pandemic, there are many people like construction workers who want to find work, and many people who need construction workers to repair parts of their homes but are not sure if construction workers are performing well or not well recruited by them. In this study, the authors propose an application to understand how construction workers can be found through an online application, and how potential clients can find suitable and trustworthy contractors. Smartphone users only need a smartphone and an internet connection to access this HoMain app. The purpose of this study is to design an online application for a mobile-based construction service ordering system to support the needs of the community and builders during construction work. With this app, people can easily order construction services based on online location. The HoMain application development method adopts the Rapid Application method, and the application development is relatively fast and efficient.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114433274","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872865
Mohammad Farizshah Ismail Kamil, N. Jamaludin, Mohd Rizal Mohd Isa, S. Jusoh
According to UN Committee on World Food Security, people must always have access to sufficient food supplies such as meat, chicken, and sheep. Although important to Malaysian Muslims which account for about 60% of the population, sheep are in short supply locally due to the high mortality rate caused by fatal diseases such as Foot and Mouth Disease (FMD), Tetanus, etc. Because of inbreeding, qualities such as disease resistance, fertility, prolificacy, vigor, and survivability are reduced in animals, often referred to as inbreeding depression. It is important to note that infected sheep may cause contaminated sheep meat produce, transmitting foodborne bacteria such as E.coli and Salmonella to humans during different stages of food preparation. Previously, other papers compared hundreds of images of sheep to deep learning models to learn of its breed. Although successful, both methods took a long period to complete. This paper proposes a framework based on deep learning techniques that will identify and predict breed lineage and inherited disease in sheep. The adopted deep learning algorithm will improve time efficiency in retrieving immediate information while still maintaining a high accuracy rate. From a wider perspective, the proposed framework has the potential to be used across domains as it can be trained with any other dataset.
{"title":"Prediction of Breed Lineage for Small Ruminant Production using Deep Learning Technique","authors":"Mohammad Farizshah Ismail Kamil, N. Jamaludin, Mohd Rizal Mohd Isa, S. Jusoh","doi":"10.1109/ICISIT54091.2022.9872865","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872865","url":null,"abstract":"According to UN Committee on World Food Security, people must always have access to sufficient food supplies such as meat, chicken, and sheep. Although important to Malaysian Muslims which account for about 60% of the population, sheep are in short supply locally due to the high mortality rate caused by fatal diseases such as Foot and Mouth Disease (FMD), Tetanus, etc. Because of inbreeding, qualities such as disease resistance, fertility, prolificacy, vigor, and survivability are reduced in animals, often referred to as inbreeding depression. It is important to note that infected sheep may cause contaminated sheep meat produce, transmitting foodborne bacteria such as E.coli and Salmonella to humans during different stages of food preparation. Previously, other papers compared hundreds of images of sheep to deep learning models to learn of its breed. Although successful, both methods took a long period to complete. This paper proposes a framework based on deep learning techniques that will identify and predict breed lineage and inherited disease in sheep. The adopted deep learning algorithm will improve time efficiency in retrieving immediate information while still maintaining a high accuracy rate. From a wider perspective, the proposed framework has the potential to be used across domains as it can be trained with any other dataset.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117335807","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872690
Antonius Schmidt, Dominik Aufderheide
Generating three-dimensional models from real world objects based on images from a single camera is an important application in computer vision and numerous possible applications. For this Structure-from-Motion (SfM) algorithms provide an approach based on the successful tracking of 2D feature points throughout an image sequence and the subsequent camera egomotion estimation and a global 3D structure recovery. However, the performance of those approaches is still limited according their precision, denseness and completeness of the reconstructed scene model. This paper introduces an approach based on Inventive Design Methodology (IDM) for the systematic analysis of existing SfM approaches and a subsequent derivation of a novel sensor fusion approach in order to overcome current application-related restrictions.
{"title":"Application of Inventive Design Methodology for a Sensor Fusion Approach in Structure-from-Motion (SfM) Applications","authors":"Antonius Schmidt, Dominik Aufderheide","doi":"10.1109/ICISIT54091.2022.9872690","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872690","url":null,"abstract":"Generating three-dimensional models from real world objects based on images from a single camera is an important application in computer vision and numerous possible applications. For this Structure-from-Motion (SfM) algorithms provide an approach based on the successful tracking of 2D feature points throughout an image sequence and the subsequent camera egomotion estimation and a global 3D structure recovery. However, the performance of those approaches is still limited according their precision, denseness and completeness of the reconstructed scene model. This paper introduces an approach based on Inventive Design Methodology (IDM) for the systematic analysis of existing SfM approaches and a subsequent derivation of a novel sensor fusion approach in order to overcome current application-related restrictions.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121563332","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872926
Arif Ridho Lubis, S. Prayudani, M. Lubis, Okvi Nugroho
Coronavirus Disease of 2019 began in Wuhan in December 2019 and it was declared as a global pandemic by WHO. Until January 2021, it affected all of human activities on earth i.e., experiencing many obstacles from restrictions on activities, closure of tourist attractions to restrictions on face-to-face learning activities in schools or universities. Due to the policy of providing a broad influence on the community with various comments through social media, many twitter users make tweets containing positive and negative comments leading to statements about online learning or daring. The problem is that they contain so many different words, abbreviations, informal language, and symbols, creating difficulties to choose which words or groups of words that can produce positive or negative statements. K-Nearest Neighbors algorithm is used to classify positive and negative tweet data, the results were AUC for class 0: 0.754, 1: 0.635, 2: 0.721 and with a precision classification score of 0.86, recall is 0.85 so that the results of the classification of negative and positive sentences on the online learning tweet data were ROC-AUC of 0. 853 and the accuracy value of 0.885.
{"title":"Sentiment Analysis on Online Learning During the Covid-19 Pandemic Based on Opinions on Twitter using KNN Method","authors":"Arif Ridho Lubis, S. Prayudani, M. Lubis, Okvi Nugroho","doi":"10.1109/ICISIT54091.2022.9872926","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872926","url":null,"abstract":"Coronavirus Disease of 2019 began in Wuhan in December 2019 and it was declared as a global pandemic by WHO. Until January 2021, it affected all of human activities on earth i.e., experiencing many obstacles from restrictions on activities, closure of tourist attractions to restrictions on face-to-face learning activities in schools or universities. Due to the policy of providing a broad influence on the community with various comments through social media, many twitter users make tweets containing positive and negative comments leading to statements about online learning or daring. The problem is that they contain so many different words, abbreviations, informal language, and symbols, creating difficulties to choose which words or groups of words that can produce positive or negative statements. K-Nearest Neighbors algorithm is used to classify positive and negative tweet data, the results were AUC for class 0: 0.754, 1: 0.635, 2: 0.721 and with a precision classification score of 0.86, recall is 0.85 so that the results of the classification of negative and positive sentences on the online learning tweet data were ROC-AUC of 0. 853 and the accuracy value of 0.885.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133707779","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}
Pub Date : 2022-07-27DOI: 10.1109/ICISIT54091.2022.9872891
F. F. Taliningsih, Y. Fu’adah, S. Rizal, Achmad Rizal, M. A. Pramudito, Giyan Sukma Pratama, Andi Fany
Biometric is an analysis of individual characteristics. For instance, fingerprint, voice, i ris, a nd face a re biometrics. Nowadays, those methods are often used; it still has the disadvantage of being easy to manipulate. Identification using Electrocardiogram (ECG) signal is one of the biometric methods developed to prevent individual manipulation since ECG signals are unique for each individual. This study designed a system using ECG signals for biometric verification. The ECG signals are unique since each individual has different physiological, geometric, and characteristics. The ECG-ID dataset used for evaluation contains 90 subjects. The One Dimensioanal Convolutional Neural Network is used in this research. We compared the difference using two ECG signal fragments, namely PQRST and PQRS waves. The best results show an accuracy of 91.57% using PQRST waves. This proposed study is feasible enough to be used as verification biometrics.
{"title":"Biometric Verification Based on ECG Signal using 1 Dimensional Convolutional Neural Network","authors":"F. F. Taliningsih, Y. Fu’adah, S. Rizal, Achmad Rizal, M. A. Pramudito, Giyan Sukma Pratama, Andi Fany","doi":"10.1109/ICISIT54091.2022.9872891","DOIUrl":"https://doi.org/10.1109/ICISIT54091.2022.9872891","url":null,"abstract":"Biometric is an analysis of individual characteristics. For instance, fingerprint, voice, i ris, a nd face a re biometrics. Nowadays, those methods are often used; it still has the disadvantage of being easy to manipulate. Identification using Electrocardiogram (ECG) signal is one of the biometric methods developed to prevent individual manipulation since ECG signals are unique for each individual. This study designed a system using ECG signals for biometric verification. The ECG signals are unique since each individual has different physiological, geometric, and characteristics. The ECG-ID dataset used for evaluation contains 90 subjects. The One Dimensioanal Convolutional Neural Network is used in this research. We compared the difference using two ECG signal fragments, namely PQRST and PQRS waves. The best results show an accuracy of 91.57% using PQRST waves. This proposed study is feasible enough to be used as verification biometrics.","PeriodicalId":214014,"journal":{"name":"2022 1st International Conference on Information System & Information Technology (ICISIT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132720122","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}
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