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":null,"pages":null},"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/IC2IE50715.2020.9274571
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":null,"pages":null},"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":null,"pages":null},"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":null,"pages":null},"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/IC2IE50715.2020.9274619
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":null,"pages":null},"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/IC2IE50715.2020.9274628
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":null,"pages":null},"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/IC2IE50715.2020.9274576
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":null,"pages":null},"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}
Pub Date : 2020-09-15DOI: 10.1109/IC2IE50715.2020.9274622
Dimas Indiarto Sumiko, A. Agus
The use of Youtube as source of information is increasing specially in a context when consumers want to buy something. This study aims to understand the effect of product recommendation content on Youtube to increase the intention to buy impulsively the smartphone products in Indonesia. This study uses a quantitative approach. The questionnaire is used as an instrument for data collection. Respondent who were included in this study are 338 Youtube users in Indonesia who watched ‘GadgetIn’ Youtube channel at least in last year. Data is processed using the Structural Equation Modeling (SEM) method and using Lisrel 8.0 software. The result of the study concluded that certain signals characteristics have an effect on trust in recommender and product affection in order to create an impulsive buying behaviour of customers.
{"title":"The Effect of Product Recommendation in Youtube To Consumer Impulsive Buying Of Smartphone Product","authors":"Dimas Indiarto Sumiko, A. Agus","doi":"10.1109/IC2IE50715.2020.9274622","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274622","url":null,"abstract":"The use of Youtube as source of information is increasing specially in a context when consumers want to buy something. This study aims to understand the effect of product recommendation content on Youtube to increase the intention to buy impulsively the smartphone products in Indonesia. This study uses a quantitative approach. The questionnaire is used as an instrument for data collection. Respondent who were included in this study are 338 Youtube users in Indonesia who watched ‘GadgetIn’ Youtube channel at least in last year. Data is processed using the Structural Equation Modeling (SEM) method and using Lisrel 8.0 software. The result of the study concluded that certain signals characteristics have an effect on trust in recommender and product affection in order to create an impulsive buying behaviour of customers.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115739112","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/IC2IE50715.2020.9274589
Tri Bhuana Tungga Dewi, Nadina Adelia Indrawan, I. Budi, A. Santoso, P. K. Putra
The government may use social media, such as Twitter, to socialize a policy or a program to society. We may predict whether a program is successful or not by analyzing the sentiment of societies towards such program or communities through their tweets. The latest program of Indonesia’s government during the COVID-19 pandemic is to make people do social distancing. It is socialized using the hashtag of stay at home appeal (#dirumahaja). The objective of this study is to analyze the understanding of societies regarding this program through people’s tweet. We compared two classification algorithms (Naive Bayes and Random Forest), using tokenization and unigram features to build classification model of tweet sentiment. The tweets that included some hashtags regarding social distancing program, were collected with 5101 tweets in total. The highest accuracy is obtained using the Random Forest algorithm and term weighting feature, which yielded 95.98%. From the model we found that the number of positive sentiments is greater than the negative sentiment. Which can be concluded that the societies are understand and agree to the social distancing program.
{"title":"Community Understanding of the Importance of Social Distancing Using Sentiment Analysis in Twitter","authors":"Tri Bhuana Tungga Dewi, Nadina Adelia Indrawan, I. Budi, A. Santoso, P. K. Putra","doi":"10.1109/IC2IE50715.2020.9274589","DOIUrl":"https://doi.org/10.1109/IC2IE50715.2020.9274589","url":null,"abstract":"The government may use social media, such as Twitter, to socialize a policy or a program to society. We may predict whether a program is successful or not by analyzing the sentiment of societies towards such program or communities through their tweets. The latest program of Indonesia’s government during the COVID-19 pandemic is to make people do social distancing. It is socialized using the hashtag of stay at home appeal (#dirumahaja). The objective of this study is to analyze the understanding of societies regarding this program through people’s tweet. We compared two classification algorithms (Naive Bayes and Random Forest), using tokenization and unigram features to build classification model of tweet sentiment. The tweets that included some hashtags regarding social distancing program, were collected with 5101 tweets in total. The highest accuracy is obtained using the Random Forest algorithm and term weighting feature, which yielded 95.98%. From the model we found that the number of positive sentiments is greater than the negative sentiment. Which can be concluded that the societies are understand and agree to the social distancing program.","PeriodicalId":211983,"journal":{"name":"2020 3rd International Conference on Computer and Informatics Engineering (IC2IE)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115896373","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":null,"pages":null},"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}
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