Pub Date : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274677
D. I. Sensuse, Hafizh Rafizal Adnan
Interaction between the government and the citizen is essential to improve public service and promote government openness. Knowledge resulted from e-participation initiatives is an asset for a government institution, especially to enable innovation. However, integrative study about knowledge management (KM) to support e-participation is currently lacking in the literature. Therefore, this study aimed to identify the state of the art of emerging knowledge management solution for participative government. The present study employed the Kitchenham method to explore literature related to knowledge management in the e-participation context. There were seventeen articles included in this study. Several alternatives to KM application, mechanism, and impacts were identified in this study. The findings of this study are expected to be a reference for further innovation in knowledge management, especially to optimize the potential of a combination of expert and public knowledge to enhance public service quality.
{"title":"Emerging Knowledge Management Practice for Participative Govemment","authors":"D. I. Sensuse, Hafizh Rafizal Adnan","doi":"10.1109/IC2IE50715.2020.9274677","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274677","url":null,"abstract":"Interaction between the government and the citizen is essential to improve public service and promote government openness. Knowledge resulted from e-participation initiatives is an asset for a government institution, especially to enable innovation. However, integrative study about knowledge management (KM) to support e-participation is currently lacking in the literature. Therefore, this study aimed to identify the state of the art of emerging knowledge management solution for participative government. The present study employed the Kitchenham method to explore literature related to knowledge management in the e-participation context. There were seventeen articles included in this study. Several alternatives to KM application, mechanism, and impacts were identified in this study. The findings of this study are expected to be a reference for further innovation in knowledge management, especially to optimize the potential of a combination of expert and public knowledge to enhance public service quality.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126065120","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274675
Adela Khairunnisa Nugraha, A. Agus
This study examines the influence of homophily, expertise, and emotional attachment to the popularity of vloggers and ultimately examines the effect of emotional attachment, vlogger popularity, and expertise on the purchase intention of recommended beauty products by focusing on beauty vlogger Tasya Farasya. Homophily itself is divided into four dimensions including attitude, background, morals, and appearance. This study uses a descriptive research design conducted in a single-cross sectional through the distribution of questionnaires online to respondents. The target respondents of this study were Indonesian women aged 15 years and over and had watched the YouTube video of Tasya Farasya (n = 430). The data obtained processed using the statistical method of Structural Equation Modeling (SEM) using LISREL 8.80 software. The results of this research showed that almost all dimensions of homophily (attitude, values, appearance) are significantly have a positive impact the emotional attachment. On the other hand, all dimensions of homophily does not have a significant positive impact on vloggers’ popularity. Then, emotional attachment and expertise also found have a significant positive impact to vloggers’ popularity. In last, researcher found that emotional attachment and expertise are significantly have a positive impact the purchase intentions of viewers while vloggers’ popularity does not.
{"title":"Analysis of Homophily, Emotional Attachment, and Expertise towards Vloggers’ Popularity and Viewers Purchasing Decisions in Beauty Products Industry","authors":"Adela Khairunnisa Nugraha, A. Agus","doi":"10.1109/IC2IE50715.2020.9274675","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274675","url":null,"abstract":"This study examines the influence of homophily, expertise, and emotional attachment to the popularity of vloggers and ultimately examines the effect of emotional attachment, vlogger popularity, and expertise on the purchase intention of recommended beauty products by focusing on beauty vlogger Tasya Farasya. Homophily itself is divided into four dimensions including attitude, background, morals, and appearance. This study uses a descriptive research design conducted in a single-cross sectional through the distribution of questionnaires online to respondents. The target respondents of this study were Indonesian women aged 15 years and over and had watched the YouTube video of Tasya Farasya (n = 430). The data obtained processed using the statistical method of Structural Equation Modeling (SEM) using LISREL 8.80 software. The results of this research showed that almost all dimensions of homophily (attitude, values, appearance) are significantly have a positive impact the emotional attachment. On the other hand, all dimensions of homophily does not have a significant positive impact on vloggers’ popularity. Then, emotional attachment and expertise also found have a significant positive impact to vloggers’ popularity. In last, researcher found that emotional attachment and expertise are significantly have a positive impact the purchase intentions of viewers while vloggers’ popularity does not.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126871017","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274679
H. Maulana, Ulfa Mulyantika
Indonesia is one of the largest swallow nest producers, supported by its natural condition as the original habitat of swiftlets. The selling price of unstable products and the lack of information about the prices of products exported to the general public are the problems faced. The absence of a benchmark or source of certain product prices that cause uncertainty in determining product prices. For this reason, the prediction system is created by applying the Holt’s Double Exponential Smoothing (DES) method, because this smoothing method can overcome time series data that has trend patterns. The prediction system provides a graph of the price movements of export products and price predictions for the following month. Based on testing that has been done, the results obtained mean that the Absolute Presentation Error (MAPE) is very good at 0.20%.
{"title":"The Prediction Of Export Product Prices With Holt’s Double Exponential Smoothing Method","authors":"H. Maulana, Ulfa Mulyantika","doi":"10.1109/IC2IE50715.2020.9274679","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274679","url":null,"abstract":"Indonesia is one of the largest swallow nest producers, supported by its natural condition as the original habitat of swiftlets. The selling price of unstable products and the lack of information about the prices of products exported to the general public are the problems faced. The absence of a benchmark or source of certain product prices that cause uncertainty in determining product prices. For this reason, the prediction system is created by applying the Holt’s Double Exponential Smoothing (DES) method, because this smoothing method can overcome time series data that has trend patterns. The prediction system provides a graph of the price movements of export products and price predictions for the following month. Based on testing that has been done, the results obtained mean that the Absolute Presentation Error (MAPE) is very good at 0.20%.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131615422","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 : 2020-09-15DOI: 10.1109/ic2ie50715.2020.9274614
{"title":"[Copyright notice]","authors":"","doi":"10.1109/ic2ie50715.2020.9274614","DOIUrl":"https://doi.org/10.1109/ic2ie50715.2020.9274614","url":null,"abstract":"","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133023837","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274590
W. Hidayat, Muhammad Irsyadul Ibad, Mahera Nur Sofiana, Muhammad Iqbal Aulia, T. A. Sutikno, R. Wakhidah
Augmented Reality is a technology that is in great demand by application developers today in all fields, including in the field of education, because it is easier for children to understand while learning an object in 3D visual form to learn some information. Indonesia is a country with animal diversity throughout the island in Indonesia. Unfortunately, many animals in Indonesia are endangered or protected species. This is due to a lack of education that teaches and introduces the diversity of animals that exist in Indonesia so there is a lot of illegal hunting that resulted in some animals becoming rare to find. The aim of this research is to create an android-based application that contains an introduction to endangered species in Indonesia with Augmented Reality named “RaaR”.
{"title":"Magic Book with Augmented Reality Technology for Introducing Rare Animal","authors":"W. Hidayat, Muhammad Irsyadul Ibad, Mahera Nur Sofiana, Muhammad Iqbal Aulia, T. A. Sutikno, R. Wakhidah","doi":"10.1109/IC2IE50715.2020.9274590","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274590","url":null,"abstract":"Augmented Reality is a technology that is in great demand by application developers today in all fields, including in the field of education, because it is easier for children to understand while learning an object in 3D visual form to learn some information. Indonesia is a country with animal diversity throughout the island in Indonesia. Unfortunately, many animals in Indonesia are endangered or protected species. This is due to a lack of education that teaches and introduces the diversity of animals that exist in Indonesia so there is a lot of illegal hunting that resulted in some animals becoming rare to find. The aim of this research is to create an android-based application that contains an introduction to endangered species in Indonesia with Augmented Reality named “RaaR”.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128758692","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274562
Maxalmina, Satria Kahfi, Kurniawan Nur Ramadhani, A. Arifianto
Lip motion recognition is a technique for interpreting visual data that focuses on the mouth area and aims to recognize lip movement. The development of lip motion recognition is expected to be used to develop communication tools with deaf people and to automate the speech-to-text process visually. In the Indonesian language, the existence of vowel phonemes is needed to produce sounds so that words and sentences in the Indonesian language can be formed. This paper proposes a model that can recognize Indonesian vowel phonemes (/a/, /i/, /u/, /e/, and /o/) in lip movements. We proposed a model that uses 3D Convolutional Neural Networks. The data in this paper were processed by resizing into 112x56 pixel resolution then, proceed to the data augmentation by reversing the data horizontally and add blur to the data. The results of the testing of the vowel phoneme recognition model on lip motion show the highest accuracy rate of 84%.
{"title":"Lip Motion Recognition for Indonesian Vowel Phonemes Using 3D Convolutional Neural Networks","authors":"Maxalmina, Satria Kahfi, Kurniawan Nur Ramadhani, A. Arifianto","doi":"10.1109/IC2IE50715.2020.9274562","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274562","url":null,"abstract":"Lip motion recognition is a technique for interpreting visual data that focuses on the mouth area and aims to recognize lip movement. The development of lip motion recognition is expected to be used to develop communication tools with deaf people and to automate the speech-to-text process visually. In the Indonesian language, the existence of vowel phonemes is needed to produce sounds so that words and sentences in the Indonesian language can be formed. This paper proposes a model that can recognize Indonesian vowel phonemes (/a/, /i/, /u/, /e/, and /o/) in lip movements. We proposed a model that uses 3D Convolutional Neural Networks. The data in this paper were processed by resizing into 112x56 pixel resolution then, proceed to the data augmentation by reversing the data horizontally and add blur to the data. The results of the testing of the vowel phoneme recognition model on lip motion show the highest accuracy rate of 84%.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128579312","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274628
Haidar Alvinanda Sulistyo, T. F. Kusumasari, E. N. Alam
In today’s digital world, maintaining the quality of the data is emerging as the keystone of business to obtain high quality data to make sure that the organizations create accurate and wise decision-making. Data were taken from various applications and mostly still raw and to transform the data into valuable and valid information, we need the data quality management in an organization is required to maintain its quality. The insight of the data is an essential tool for decision-makers. Good quality data exists when the data has been processed with data quality management. Good quality data has several beneficial impacts on organizations, and the ever-increasing amount of data in the rapidly expanding technological world of today makes analyzing it much more exciting. Therefore, this research will discuss one of the methods in data quality management that are data cleansing. We propose the design and implementation of pattern modules in data cleansing processing using open source tools to make the process of data cleansing of food and drug distribution permits in Indonesian government agencies more flexible and also create uniformity of the pattern data to obtain more insight to explore.
{"title":"Implementation of Data Cleansing Pattern Module for Data Quality Management Application using Open Source Tools","authors":"Haidar Alvinanda Sulistyo, T. F. Kusumasari, E. N. Alam","doi":"10.1109/IC2IE50715.2020.9274628","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274628","url":null,"abstract":"In today’s digital world, maintaining the quality of the data is emerging as the keystone of business to obtain high quality data to make sure that the organizations create accurate and wise decision-making. Data were taken from various applications and mostly still raw and to transform the data into valuable and valid information, we need the data quality management in an organization is required to maintain its quality. The insight of the data is an essential tool for decision-makers. Good quality data exists when the data has been processed with data quality management. Good quality data has several beneficial impacts on organizations, and the ever-increasing amount of data in the rapidly expanding technological world of today makes analyzing it much more exciting. Therefore, this research will discuss one of the methods in data quality management that are data cleansing. We propose the design and implementation of pattern modules in data cleansing processing using open source tools to make the process of data cleansing of food and drug distribution permits in Indonesian government agencies more flexible and also create uniformity of the pattern data to obtain more insight to explore.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124396162","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274670
D. I. Sensuse, L. M. Hasani, B. Bagustari
Addressing different learner’s characteristics and needs is a critical issue in the process of learning. The advent of adaptive e-Learning technology has made it possible to tailor learning materials for different learner characteristics including learning styles. Delivering matching learning objects and strategies through an adaptive e-Learning system is believed to have a profound impact on learner’s learning performance. A body of research has offered various personalization strategies including learning object mapping according to learning styles. This paper focused on exploring how the learning objects are mapped to Felder-Silverman learning styles and the effect of implementing such approach. In this paper, 15 relevant publications were reviewed in order to gain some insights into the implementation of learning styles-based personalization. Based on the insights found this study proposed a conceptual learning object mapping and personalization strategies. The findings and recommendations of this study can be utilized as the basis to build an adaptive e-Learning system based on Felder-Silverman Learning Style Model (FSLSM).
{"title":"Personalization Strategies Based on Felder-Silverman Learning Styles and Its Impact on Learning: A Literature Review","authors":"D. I. Sensuse, L. M. Hasani, B. Bagustari","doi":"10.1109/IC2IE50715.2020.9274670","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274670","url":null,"abstract":"Addressing different learner’s characteristics and needs is a critical issue in the process of learning. The advent of adaptive e-Learning technology has made it possible to tailor learning materials for different learner characteristics including learning styles. Delivering matching learning objects and strategies through an adaptive e-Learning system is believed to have a profound impact on learner’s learning performance. A body of research has offered various personalization strategies including learning object mapping according to learning styles. This paper focused on exploring how the learning objects are mapped to Felder-Silverman learning styles and the effect of implementing such approach. In this paper, 15 relevant publications were reviewed in order to gain some insights into the implementation of learning styles-based personalization. Based on the insights found this study proposed a conceptual learning object mapping and personalization strategies. The findings and recommendations of this study can be utilized as the basis to build an adaptive e-Learning system based on Felder-Silverman Learning Style Model (FSLSM).","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123192964","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274591
R. Afshari, Rimba Frida Pusparini, Muhammad Helmi Utomo, Favian Dewanta, R. Negara
The trend of internet of things (IoT) makes the cloud less effective because networked control systems need low latency while cloud have high latency for processing data from sensors and devices. In that kind of situation, fog computing is introduced as the complement of cloud computing. However, unlike cloud services, fog services are limited to certain geographical area. As a consequence, fog services handover is needed in order to accommodate user’s mobility. This paper is focusing on microservices handover that follows user’s movement. The microservices installed in the current fog node are sent to another service coverage of a new fog node for continuing the same service to the users. Fog node contains a docker that runs MySQL, python script, and busybox services. When it comes to handover, docker will freeze current session and convert it to a checkpoint file. The file is created by taking a snapshot of the container, which consists of processes in memory, volume or image. The file will be sent by using secure shell (SSH) or file transfer protocol (FTP). At the destination fog node, the file will be processed in order to resume the service. The results show that delay of SSH is always higher than FTP in all experiments, in which the largest delays are 484.026 seconds for SSH protocol and 146.41 seconds for FTP protocols. As for checkpoint and restore process, those delays tend to be similar with respect to both SSH and FTP protocols but they are still affected by the size of snapshot and checkpoint file.
{"title":"A Method for Microservices Handover in A Local Area Network","authors":"R. Afshari, Rimba Frida Pusparini, Muhammad Helmi Utomo, Favian Dewanta, R. Negara","doi":"10.1109/IC2IE50715.2020.9274591","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274591","url":null,"abstract":"The trend of internet of things (IoT) makes the cloud less effective because networked control systems need low latency while cloud have high latency for processing data from sensors and devices. In that kind of situation, fog computing is introduced as the complement of cloud computing. However, unlike cloud services, fog services are limited to certain geographical area. As a consequence, fog services handover is needed in order to accommodate user’s mobility. This paper is focusing on microservices handover that follows user’s movement. The microservices installed in the current fog node are sent to another service coverage of a new fog node for continuing the same service to the users. Fog node contains a docker that runs MySQL, python script, and busybox services. When it comes to handover, docker will freeze current session and convert it to a checkpoint file. The file is created by taking a snapshot of the container, which consists of processes in memory, volume or image. The file will be sent by using secure shell (SSH) or file transfer protocol (FTP). At the destination fog node, the file will be processed in order to resume the service. The results show that delay of SSH is always higher than FTP in all experiments, in which the largest delays are 484.026 seconds for SSH protocol and 146.41 seconds for FTP protocols. As for checkpoint and restore process, those delays tend to be similar with respect to both SSH and FTP protocols but they are still affected by the size of snapshot and checkpoint file.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123704779","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 : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274678
Nurul Fatimah, B. Mulyanti, R. Pawinanto, A. B. Pantjawati
The application of microchip technology has the potential to detect early health aspects. The mixing process in the medical laboratory examination with a blood check is important to determine the overall health condition and provide information on the disease suffered and also determine the treatment carried out or the next stage. This paper aims to study the simulation of microfluidic mixer devices based on flattening channels for blood mixing applications. The finite element analysis is used to study the effect of flattening channel geometry related to the microfluidic mixer performance. The results show that the mixing index above 0.98 is obtained which means the fluid was mixed homogenously. As a consequence, rapid and efficient mixing remains a challenging task within the design and development of micromixers. Furthermore, from the Reynolds number variations, it revealed that the mixing index increase when the Reynolds number increase.
{"title":"The Design of Microfluidic Mixer Based on Flattening for Blood Mixing Application","authors":"Nurul Fatimah, B. Mulyanti, R. Pawinanto, A. B. Pantjawati","doi":"10.1109/IC2IE50715.2020.9274678","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274678","url":null,"abstract":"The application of microchip technology has the potential to detect early health aspects. The mixing process in the medical laboratory examination with a blood check is important to determine the overall health condition and provide information on the disease suffered and also determine the treatment carried out or the next stage. This paper aims to study the simulation of microfluidic mixer devices based on flattening channels for blood mixing applications. The finite element analysis is used to study the effect of flattening channel geometry related to the microfluidic mixer performance. The results show that the mixing index above 0.98 is obtained which means the fluid was mixed homogenously. As a consequence, rapid and efficient mixing remains a challenging task within the design and development of micromixers. Furthermore, from the Reynolds number variations, it revealed that the mixing index increase when the Reynolds number increase.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121978498","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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