Pub Date : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274635
Richardo Antolis, A. Agus
The rise of online channel has shifted how Indonesian people purchase their product, making them exposed to multiple channel. Millennial mom is one of the most affected segments as they are willing to spend more time to research for products. This study aims to understand the effect of channel characteristic on the channel selection intention of millennial moms following the theory of planned behavior and commitment trust theory. The study uses a quantitative approach with questionnaire as the instrument for data collection. The study included 296 respondent which are divided into three groups based on their preferred purchasing channel. Data is processed using LISREL edition 8.80 software. The result of the study concluded that certain channel characteristic has an effect on channel selection intention of millennial moms.
{"title":"The Effect of Channel Characteristic on Millennial Moms Purchasing Behaviors of Baby Product","authors":"Richardo Antolis, A. Agus","doi":"10.1109/IC2IE50715.2020.9274635","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274635","url":null,"abstract":"The rise of online channel has shifted how Indonesian people purchase their product, making them exposed to multiple channel. Millennial mom is one of the most affected segments as they are willing to spend more time to research for products. This study aims to understand the effect of channel characteristic on the channel selection intention of millennial moms following the theory of planned behavior and commitment trust theory. The study uses a quantitative approach with questionnaire as the instrument for data collection. The study included 296 respondent which are divided into three groups based on their preferred purchasing channel. Data is processed using LISREL edition 8.80 software. The result of the study concluded that certain channel characteristic has an effect on channel selection intention of millennial moms.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"16 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":"114487484","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/IC2IE50715.2020.9274686
Intan Vidia Saputri, E. C. Djamal, Fikri Nugraha, Ridwan Ilyas
Wind speed prediction is needed in various sectors, such as in industry. However, the weather conditions change all the time, so it is not easy to predict. The wind that blows is influenced by several climatic weather factors such as humidity and rainfall. Also, wind speed patterns change when there is a global climate change, El Nino. Therefore this research involved the element in predicting wind patterns one week ahead. Recurrent Neural Networks (RNN) and Long-short Term Memory (LSTM) methods are used for sequential data processing, such as climate data. Climate data for ten years used were wind speed, humidity, and rainfall provided by Meteorological, Climatological, and Geophysical Agency (BMKG) of a weather observation station, while Southern Oscillation Index (SOI), was obtained from the Australian Bureau of Meteorology (ABM). Data need to be pre-processed to solve missing data. Moreover, all variables were normalized and segmentation by overlapping to avoid data discontinuity. The results showed that the use of the amount of data, learning rate, epoch, and selection of the right optimization model could give good accuracy. The purpose of the proper configuration has a good performance, with accuracy reaching 88.34%. The results showed that the use of SOI factors improved correctness from 74.75% without SOI. The results also show that the model Adaptive Moment Estimation (Adam) provides better accuracy than the model Stochastic Gradient Descent (SGD), which gives an accuracy of only 71.84%. Meanwhile, the study also examined the effect of the learning rate and composition of training data and test data. The best accuracy is shown for the learning rate of 0.020 and 80:20% of training and test data comparison.
{"title":"Wind Speed Forecasting toward El Nino Factors Using Recurrent Neural Networks","authors":"Intan Vidia Saputri, E. C. Djamal, Fikri Nugraha, Ridwan Ilyas","doi":"10.1109/IC2IE50715.2020.9274686","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274686","url":null,"abstract":"Wind speed prediction is needed in various sectors, such as in industry. However, the weather conditions change all the time, so it is not easy to predict. The wind that blows is influenced by several climatic weather factors such as humidity and rainfall. Also, wind speed patterns change when there is a global climate change, El Nino. Therefore this research involved the element in predicting wind patterns one week ahead. Recurrent Neural Networks (RNN) and Long-short Term Memory (LSTM) methods are used for sequential data processing, such as climate data. Climate data for ten years used were wind speed, humidity, and rainfall provided by Meteorological, Climatological, and Geophysical Agency (BMKG) of a weather observation station, while Southern Oscillation Index (SOI), was obtained from the Australian Bureau of Meteorology (ABM). Data need to be pre-processed to solve missing data. Moreover, all variables were normalized and segmentation by overlapping to avoid data discontinuity. The results showed that the use of the amount of data, learning rate, epoch, and selection of the right optimization model could give good accuracy. The purpose of the proper configuration has a good performance, with accuracy reaching 88.34%. The results showed that the use of SOI factors improved correctness from 74.75% without SOI. The results also show that the model Adaptive Moment Estimation (Adam) provides better accuracy than the model Stochastic Gradient Descent (SGD), which gives an accuracy of only 71.84%. Meanwhile, the study also examined the effect of the learning rate and composition of training data and test data. The best accuracy is shown for the learning rate of 0.020 and 80:20% of training and test data comparison.","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":"114316927","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/IC2IE50715.2020.9274619
A. R. Yuly, Handi Pradana
The Internet of Things is one of the main programs in the 4.0 industrial revolution. Several countries in Southeast Asia have developed industries that are supported by governments and academics. This growing industry is something that must be considered in developing a vocational education curriculum, to prepare student competencies so that they can participate in the flow of this revolution. Systematic Literature Review is used to identify industries that are currently or have been developed related to the Internet of Things in the Southeast Asian region. The results obtained are found on four IoT topics in different fields, the dominance of published research on the themes of Environment, Agribusiness, Health, and Industry. The study’s purpose was conducted to determine the distribution of IoT in the research that has been done. The analysis results are considered by the sector to be considered in the direction of building a useful curriculum learning related to the IoT field and future device innovation.
{"title":"Systematic Literature Review (SLR) Development of the IoT Industry in the Southeast Asian Region","authors":"A. R. Yuly, Handi Pradana","doi":"10.1109/IC2IE50715.2020.9274619","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274619","url":null,"abstract":"The Internet of Things is one of the main programs in the 4.0 industrial revolution. Several countries in Southeast Asia have developed industries that are supported by governments and academics. This growing industry is something that must be considered in developing a vocational education curriculum, to prepare student competencies so that they can participate in the flow of this revolution. Systematic Literature Review is used to identify industries that are currently or have been developed related to the Internet of Things in the Southeast Asian region. The results obtained are found on four IoT topics in different fields, the dominance of published research on the themes of Environment, Agribusiness, Health, and Industry. The study’s purpose was conducted to determine the distribution of IoT in the research that has been done. The analysis results are considered by the sector to be considered in the direction of building a useful curriculum learning related to the IoT field and future device innovation.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"47 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":"117218110","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/IC2IE50715.2020.9274571
Afifah Nefiratika, Y. G. Sucahyo, Arfive Gandhi, Y. Ruldeviyani
Nowadays, social media does not only have functions to communicate with family and friends but also has a function as a place to do business. Online shopping activities carried out on social media are called social commerce. One of the social commerce business models is currently being carried out on social media is the Jastip business. However, the high level of risk and uncertainty in Jastip makes it difficult for Jastip businesses to gain customer trust. This research aims to identify the factors that influence customer trust in Jastip market on social media. Data obtained through the distribution of questionnaires to 213 respondents who have social media and know Jastip business. Data was collected and analyzed by PLS-SEM using SmartPLS3. Based on the results of the analysis of key opinion leaders (an expert in a particular field), emotional support, endorsements by social media influencers, familiarity, and word of mouth (recommendations and comments) can influence trust in Jastip business on social media positively. The results of this study can be used as input to be able to determine the best strategy to be able to gain customer trust on social media.
{"title":"Discovering the Influencing Factors of Trust on Social Commerce in the Jastip Business Model","authors":"Afifah Nefiratika, Y. G. Sucahyo, Arfive Gandhi, Y. Ruldeviyani","doi":"10.1109/IC2IE50715.2020.9274571","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274571","url":null,"abstract":"Nowadays, social media does not only have functions to communicate with family and friends but also has a function as a place to do business. Online shopping activities carried out on social media are called social commerce. One of the social commerce business models is currently being carried out on social media is the Jastip business. However, the high level of risk and uncertainty in Jastip makes it difficult for Jastip businesses to gain customer trust. This research aims to identify the factors that influence customer trust in Jastip market on social media. Data obtained through the distribution of questionnaires to 213 respondents who have social media and know Jastip business. Data was collected and analyzed by PLS-SEM using SmartPLS3. Based on the results of the analysis of key opinion leaders (an expert in a particular field), emotional support, endorsements by social media influencers, familiarity, and word of mouth (recommendations and comments) can influence trust in Jastip business on social media positively. The results of this study can be used as input to be able to determine the best strategy to be able to gain customer trust on social media.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"13 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":"125323334","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/IC2IE50715.2020.9274620
V. A. Wardhany, Alfin Hidayat, Subono, Mirta Jhoswanda
Bees are honey-producing insects that have long been known to humans. Until now, it is very common in some areas that farmers keep honey bees to use their honey for personal consumption as well as for mass production for sale. In the care and maintenance of bees, of course, is not an arbitrary thing. There are several factors that need to be considered so that the bee can produce honey properly and optimally. These factors are the state of Temperature and Humidity of the beehive itself. Extreme temperatures and humidity affect the pattern of making honey and the yield of honey itself. Therefore, the authors designed a prototype of a tool for monitoring humidity and weight of the frame and automatic temperature control using Fuzzy logic. The Fuzzy logic is an appropriate way to map an input space into the output space so that in the system to maintain the temperature of the bee stable so that it can be optimally carried out in greater detail. The result of this system test is the fuzzy logic can read the temperature state is more or less than the optimal vulnerable and the reverse is again at the optimal temperature that is between 32°C-33°C. Known in the test, the system can steer from the temperature of 31°C to 32.1°C in vulnerable time 1 min 15 seconds as well as at a temperature 34.4°C to the temperature of 32.9°C successfully in the vulnerable time 1 minute 5 seconds.
{"title":"Temperature and Humidity Control of Smart Cage Bee Honey Based on Internet of Things","authors":"V. A. Wardhany, Alfin Hidayat, Subono, Mirta Jhoswanda","doi":"10.1109/IC2IE50715.2020.9274620","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274620","url":null,"abstract":"Bees are honey-producing insects that have long been known to humans. Until now, it is very common in some areas that farmers keep honey bees to use their honey for personal consumption as well as for mass production for sale. In the care and maintenance of bees, of course, is not an arbitrary thing. There are several factors that need to be considered so that the bee can produce honey properly and optimally. These factors are the state of Temperature and Humidity of the beehive itself. Extreme temperatures and humidity affect the pattern of making honey and the yield of honey itself. Therefore, the authors designed a prototype of a tool for monitoring humidity and weight of the frame and automatic temperature control using Fuzzy logic. The Fuzzy logic is an appropriate way to map an input space into the output space so that in the system to maintain the temperature of the bee stable so that it can be optimally carried out in greater detail. The result of this system test is the fuzzy logic can read the temperature state is more or less than the optimal vulnerable and the reverse is again at the optimal temperature that is between 32°C-33°C. Known in the test, the system can steer from the temperature of 31°C to 32.1°C in vulnerable time 1 min 15 seconds as well as at a temperature 34.4°C to the temperature of 32.9°C successfully in the vulnerable time 1 minute 5 seconds.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"41 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":"125490779","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/IC2IE50715.2020.9274568
Dhea Junestya Pradipta, I. N. P. Pradnyana, T. Raharjo
The Coronavirus Disease (COVID-19) pandemic in 2020 in Indonesia caused the Indonesian government to adopt New Normal as an adaptive step to mitigate the risk of the spread of COVID-19. The Directorate General of Customs and Excise (DGCE) as one of the government institutions participated in implementing the New Normal which affects the work patterns of employees, especially from project management. Based on interviews conducted, the implementation of the New Normal causes obstacles in project management in terms of time, cost, and performance. Therefore, top management wants to know what critical factors influence the success of a management project. This study conducted a Systematic Literature Review (SLR) and seven expert judgment to get an academic and practical view. From the results of the analysis, it is known that there are 22 critical success factors, five categories, and seven project management success criteria in DGCE with the New Normal condition.
{"title":"The New Normal Strategy for Project Management in Directorate General of Customs and Excise","authors":"Dhea Junestya Pradipta, I. N. P. Pradnyana, T. Raharjo","doi":"10.1109/IC2IE50715.2020.9274568","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274568","url":null,"abstract":"The Coronavirus Disease (COVID-19) pandemic in 2020 in Indonesia caused the Indonesian government to adopt New Normal as an adaptive step to mitigate the risk of the spread of COVID-19. The Directorate General of Customs and Excise (DGCE) as one of the government institutions participated in implementing the New Normal which affects the work patterns of employees, especially from project management. Based on interviews conducted, the implementation of the New Normal causes obstacles in project management in terms of time, cost, and performance. Therefore, top management wants to know what critical factors influence the success of a management project. This study conducted a Systematic Literature Review (SLR) and seven expert judgment to get an academic and practical view. From the results of the analysis, it is known that there are 22 critical success factors, five categories, and seven project management success criteria in DGCE with the New Normal condition.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"72 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":"121734660","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/IC2IE50715.2020.9274576
R. Shinta Oktaviana, Diana Ambarwati Febriani, Intan Yoshana, L. Payanta
Food waste is a serious problem that occurs in various countries. Indonesia is a country that produces food waste, the second largest after Saudi Arabia. Currently, there are several communities who care about the issue of food waste and hunger in Indonesia. The Community collects excess food from eligible donor consumption to be distributed to people in need. They have the aim to reduce the problem of food waste and numbers starving in Indonesia. However, the process of channeling food to donors and the community is still practically a manual where the community contacts the donors one by one, so it is considered less effective. This research aims to create a system to connect the community with individuals or organizations that want to donate excess food. In order for users to give faster feedback, this system was made using the prototype methodology. At the final stage of the development, testing was carried out by involving several volunteers and 3 communities to see the completeness of the features system. FoodX system made already accommodate the needs of 2 types of food communities (with and without volunteer).
{"title":"FoodX, a System to Reduce Food Waste","authors":"R. Shinta Oktaviana, Diana Ambarwati Febriani, Intan Yoshana, L. Payanta","doi":"10.1109/IC2IE50715.2020.9274576","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274576","url":null,"abstract":"Food waste is a serious problem that occurs in various countries. Indonesia is a country that produces food waste, the second largest after Saudi Arabia. Currently, there are several communities who care about the issue of food waste and hunger in Indonesia. The Community collects excess food from eligible donor consumption to be distributed to people in need. They have the aim to reduce the problem of food waste and numbers starving in Indonesia. However, the process of channeling food to donors and the community is still practically a manual where the community contacts the donors one by one, so it is considered less effective. This research aims to create a system to connect the community with individuals or organizations that want to donate excess food. In order for users to give faster feedback, this system was made using the prototype methodology. At the final stage of the development, testing was carried out by involving several volunteers and 3 communities to see the completeness of the features system. FoodX system made already accommodate the needs of 2 types of food communities (with and without volunteer).","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"32 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":"131342749","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}
In the past decade, it stated that the discourse on Sustainable Development and the Financial Technology(FinTech) role in the financial and banking industries, has attention on researchers, practitioners, regulators, and policymakers. The real problem arises from the discourse on whether FinTech has an effect on sustainable development in the financial and banking industry in Indonesia. This discourse needed to be understood better and more deeply. For credible research results, it is necessary to use a mixedmethod research approach. This research aims to develop a model that will help uncover the phenomenon of FinTech to sustainable development in the Financial and Banking Industry in Indonesia, using mixed methods research. In this study, Exploratory Sequential Mixed Method used as a type of mixedmethod approach. The main results of this study reveal that FinTech, which is influenced by business drivers, has a significant role in sustainable development in the Financial and Banking Industry in Indonesia. The contribution of this research can provide insight and understanding for researchers and practitioners in the financial and banking industry who want to implement a sustainable development model based on FinTech in more depth.
{"title":"Model of Sustainable Development Based on FinTech in Financial and Banking Industry: A Mixed-Method Research","authors":"Mercurius Broto Legowo, Steph Subanidja, Fanky Antoneus Sorongan","doi":"10.1109/IC2IE50715.2020.9274605","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274605","url":null,"abstract":"In the past decade, it stated that the discourse on Sustainable Development and the Financial Technology(FinTech) role in the financial and banking industries, has attention on researchers, practitioners, regulators, and policymakers. The real problem arises from the discourse on whether FinTech has an effect on sustainable development in the financial and banking industry in Indonesia. This discourse needed to be understood better and more deeply. For credible research results, it is necessary to use a mixedmethod research approach. This research aims to develop a model that will help uncover the phenomenon of FinTech to sustainable development in the Financial and Banking Industry in Indonesia, using mixed methods research. In this study, Exploratory Sequential Mixed Method used as a type of mixedmethod approach. The main results of this study reveal that FinTech, which is influenced by business drivers, has a significant role in sustainable development in the Financial and Banking Industry in Indonesia. The contribution of this research can provide insight and understanding for researchers and practitioners in the financial and banking industry who want to implement a sustainable development model based on FinTech in more depth.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"41 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":"125039519","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/IC2IE50715.2020.9274640
L. M. Hasani, Hafizh Rafizal Adnan, D. I. Sensuse, Kautsarina, Ryan Randy Suryono
Widespread lockdowns across the globe during Covid-19 outbreak forced the universities to abruptly adopt full-online distance learning. Such unprecedented abrupt adoption requires a degree of student readiness to ensure the success of distance learning delivery. However, prior research about student readiness of e-Learning adoption is still limited to discussing proactive adoption in normal conditions. To address this issue, this study investigated the factors that affect the student’s perceived readiness for abrupt distance learning adoption. By applying Structural Equation Modelling (SEM) using the Partial Least Square algorithm, this study found that self-competence, comfort with e-Learning, uncertainty avoidance, financial ability, and technological facilitating conditions are factors that significantly affect student’s perceived readiness. Based on this finding, faculties are recommended to be an early adopter of e-Learning, to provide an e-Learning platform with excellent usability and effective instructional design for the students, to provide clear instructions for both students and instructors, and to provide needed resources (e.g. internet connection) to the students. Moreover, future studies could be focused on lecturers’ or faculties’ readiness for abrupt distance learning adoption.
{"title":"Factors Affecting Student’s Perceived Readiness on Abrupt Distance Learning Adoption: Indonesian Higher-Education Perspectives","authors":"L. M. Hasani, Hafizh Rafizal Adnan, D. I. Sensuse, Kautsarina, Ryan Randy Suryono","doi":"10.1109/IC2IE50715.2020.9274640","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274640","url":null,"abstract":"Widespread lockdowns across the globe during Covid-19 outbreak forced the universities to abruptly adopt full-online distance learning. Such unprecedented abrupt adoption requires a degree of student readiness to ensure the success of distance learning delivery. However, prior research about student readiness of e-Learning adoption is still limited to discussing proactive adoption in normal conditions. To address this issue, this study investigated the factors that affect the student’s perceived readiness for abrupt distance learning adoption. By applying Structural Equation Modelling (SEM) using the Partial Least Square algorithm, this study found that self-competence, comfort with e-Learning, uncertainty avoidance, financial ability, and technological facilitating conditions are factors that significantly affect student’s perceived readiness. Based on this finding, faculties are recommended to be an early adopter of e-Learning, to provide an e-Learning platform with excellent usability and effective instructional design for the students, to provide clear instructions for both students and instructors, and to provide needed resources (e.g. internet connection) to the students. Moreover, future studies could be focused on lecturers’ or faculties’ readiness for abrupt distance learning adoption.","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":"130328271","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/IC2IE50715.2020.9274648
Atika Uyun, Dwinanda Kinanti Suci Sekarhati, Mohamad Yusup Dias Ibrahim, Sofian Lusa, D. I. Sensuse, Nadya Safitri, Damayanti Elisabeth
Nowadays, digital marketing strategy has made major improvement in business and industry within more than two decades. In the era of rapid information technology development, business competition is also getting stricter through the transformation of digital business. This is also happening in one of Indonesia’s digital business company known as PT XYZ Indonesia. For its sustainability, knowledge management has been adopted. But, there are some issues in its implementation because of high turnover rate and incorrect implementation process. In addition, there is a complaint rating of approximately 20% of 1049 projects. This paper aims to investigate KM implementation process on job satisfaction and worker performance for XYZ and give recommendation based on the measurement result to KM process implementation. The result of this paper is organizational culture has significant relationship with job satisfaction and knowledge sharing has significant relationship with worker performance. Based on the result, we recommend to create reward, KM policy, allocate budget, and organize special division of KM to optimal the KM implementation.
{"title":"Investigation of Job Satisfaction and Worker Performance on Digital Business Company","authors":"Atika Uyun, Dwinanda Kinanti Suci Sekarhati, Mohamad Yusup Dias Ibrahim, Sofian Lusa, D. I. Sensuse, Nadya Safitri, Damayanti Elisabeth","doi":"10.1109/IC2IE50715.2020.9274648","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274648","url":null,"abstract":"Nowadays, digital marketing strategy has made major improvement in business and industry within more than two decades. In the era of rapid information technology development, business competition is also getting stricter through the transformation of digital business. This is also happening in one of Indonesia’s digital business company known as PT XYZ Indonesia. For its sustainability, knowledge management has been adopted. But, there are some issues in its implementation because of high turnover rate and incorrect implementation process. In addition, there is a complaint rating of approximately 20% of 1049 projects. This paper aims to investigate KM implementation process on job satisfaction and worker performance for XYZ and give recommendation based on the measurement result to KM process implementation. The result of this paper is organizational culture has significant relationship with job satisfaction and knowledge sharing has significant relationship with worker performance. Based on the result, we recommend to create reward, KM policy, allocate budget, and organize special division of KM to optimal the KM implementation.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":"26 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":"114264082","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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