Wind energy is one of the potential renewable energy in Indonesia, however low wind speed turbine needs to be designed to adjust for available wind characteristic in the area. Vertical axis wind turbine with Savonius type is suitable for low wind speed application and in this paper turbine design has been optimized aerodynamically using computational fluid dynamics and following raw material size constraint. One-level savonius wind turbine has been designed and compared to previous work of two-lavel wind turbine. Based on CFD simulations, one-level turbine has better performance than the other one. Both wind turbines have large torque at zero RPM which indicates that they are suitable for low wind speed application.
{"title":"Simple Vertical Axis Wind Turbine for Low Wind Speed","authors":"D. Hendriana, E. Budiarto, Arko Djajadi","doi":"10.1145/3429789.3429874","DOIUrl":"https://doi.org/10.1145/3429789.3429874","url":null,"abstract":"Wind energy is one of the potential renewable energy in Indonesia, however low wind speed turbine needs to be designed to adjust for available wind characteristic in the area. Vertical axis wind turbine with Savonius type is suitable for low wind speed application and in this paper turbine design has been optimized aerodynamically using computational fluid dynamics and following raw material size constraint. One-level savonius wind turbine has been designed and compared to previous work of two-lavel wind turbine. Based on CFD simulations, one-level turbine has better performance than the other one. Both wind turbines have large torque at zero RPM which indicates that they are suitable for low wind speed application.","PeriodicalId":416230,"journal":{"name":"Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114551264","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}
The efficiency of dwell time at the loading and unloading port is crucial for the overall efficiency of logistics costs. While the Government targets the dwell time to only two days on average, the dwell time average at major Indonesian ports is at 3.5 days. This condition become an obstacle for Indonesia to compete in global port operations. This paper presents how the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) approach may help the decision maker in Port operations to prioritizing criteria which are crucial to streamlining the dwell time at the Port Tanjung Priok. Three experts were involved in this study, examining four criteria and 16 sub-criteria. This study found that the Human Resource Management becomes the most dominant criterion to be prioritized, followed by the IT-based Licensing Process, the Loading-unloading process, and the Customer Knowledge Management.
{"title":"Prioritizing Criteria for Dwell Time Efficiency in Port Logistic Process","authors":"O. Sunardi, Yenny Yunita Somakila","doi":"10.1145/3429789.3429845","DOIUrl":"https://doi.org/10.1145/3429789.3429845","url":null,"abstract":"The efficiency of dwell time at the loading and unloading port is crucial for the overall efficiency of logistics costs. While the Government targets the dwell time to only two days on average, the dwell time average at major Indonesian ports is at 3.5 days. This condition become an obstacle for Indonesia to compete in global port operations. This paper presents how the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) approach may help the decision maker in Port operations to prioritizing criteria which are crucial to streamlining the dwell time at the Port Tanjung Priok. Three experts were involved in this study, examining four criteria and 16 sub-criteria. This study found that the Human Resource Management becomes the most dominant criterion to be prioritized, followed by the IT-based Licensing Process, the Loading-unloading process, and the Customer Knowledge Management.","PeriodicalId":416230,"journal":{"name":"Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131707109","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}
M. Abdillah, A. Krismanto, Teguh Aryo Nugroho, H. Setiadi, Nita Indriani Pertiwi, K. Mahmoud, M. D. Prasetio
A power transformer is one of the most important and valuable components for the power system network. This device is critical to ensure power quality and reliable electricity supply for consumers. When the power transformer could not work properly or out of service in unforeseen ways, it provides a severe impact on power system utilities and customers in term of the expensive of transformer's replacement cost and revenue lost caused by the electrical blackout. To overcome these issues, the proper prognostics health management (PHM) system as a tool for condition monitoring and health assessment of these valuable assets is required. This paper proposed a PHM system based on a kernel extreme learning machine (K-ELM) for power transformer's health assessment. Two sets of variable combinations called Set-1 and Set-2 were considered to examine the robustness and efficacy of the proposed method. In Set-1, the input variables were water content, total acidity, breakdown voltage, dissipation factor, dissolved combustible gases, and 2-furfuraldehyde. While the output of PHM system was the health condition which categorized as good, moderate, and bad circumstances. Set-2 utilized water content, total acidity, breakdown voltage, dissipation factor, and interfacial tension as input variables. Whereas, the PHM system outputs consisted of four categories: normal, good, moderate, and bad. The proposed method with two sets of variables had showed the satisfactory results for transformer's health condition assessment compared to an extreme learning machine (ELM), support vector machine (SVM), and least-square support vector machine (LS-SVM) in terms of learning and testing accuracies and computation time. The proposed PHM system using the Set-1 dataset could assess the transformer health as of 100% while in terms of the testing process, the proposed PHM system has an excellent accuracy result as of 68.67%. Furthermore, the proposed PHM system using the Set-2 dataset had successfully assessed the transformer health as of 100%. In the testing phase, the proposed PHM system model has a rigorous result for its accuracy result as of 93.61%.
{"title":"Prognostics Health Management (PHM) System for Power Transformer Using Kernel Extreme Learning Machine (K-ELM)","authors":"M. Abdillah, A. Krismanto, Teguh Aryo Nugroho, H. Setiadi, Nita Indriani Pertiwi, K. Mahmoud, M. D. Prasetio","doi":"10.1145/3429789.3429822","DOIUrl":"https://doi.org/10.1145/3429789.3429822","url":null,"abstract":"A power transformer is one of the most important and valuable components for the power system network. This device is critical to ensure power quality and reliable electricity supply for consumers. When the power transformer could not work properly or out of service in unforeseen ways, it provides a severe impact on power system utilities and customers in term of the expensive of transformer's replacement cost and revenue lost caused by the electrical blackout. To overcome these issues, the proper prognostics health management (PHM) system as a tool for condition monitoring and health assessment of these valuable assets is required. This paper proposed a PHM system based on a kernel extreme learning machine (K-ELM) for power transformer's health assessment. Two sets of variable combinations called Set-1 and Set-2 were considered to examine the robustness and efficacy of the proposed method. In Set-1, the input variables were water content, total acidity, breakdown voltage, dissipation factor, dissolved combustible gases, and 2-furfuraldehyde. While the output of PHM system was the health condition which categorized as good, moderate, and bad circumstances. Set-2 utilized water content, total acidity, breakdown voltage, dissipation factor, and interfacial tension as input variables. Whereas, the PHM system outputs consisted of four categories: normal, good, moderate, and bad. The proposed method with two sets of variables had showed the satisfactory results for transformer's health condition assessment compared to an extreme learning machine (ELM), support vector machine (SVM), and least-square support vector machine (LS-SVM) in terms of learning and testing accuracies and computation time. The proposed PHM system using the Set-1 dataset could assess the transformer health as of 100% while in terms of the testing process, the proposed PHM system has an excellent accuracy result as of 68.67%. Furthermore, the proposed PHM system using the Set-2 dataset had successfully assessed the transformer health as of 100%. In the testing phase, the proposed PHM system model has a rigorous result for its accuracy result as of 93.61%.","PeriodicalId":416230,"journal":{"name":"Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132456235","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}
Muriani Emelda Isharyani, B. M. Sopha, M. A. Wibisono
This study develops a conceptual model that linked smart consumer experience with consumer purchase intention toward smart retail, in order to identified factors that influence consumer to make purchase at smart retail. As a viewpoint, this study employs a review of theories, knowledge, ideas, and findings in academically oriented literature, drawing upon the actual challenges in smart retail, to propose a new perspective and formulates an emerging research agenda. The research model proposes that perceived advantage, perceived ease of use, perceived enjoyment, perceived risk, perceived novelty of SRT, personalization, and interactivity drive consumer experience with smart technology in retail environment, which leads to increases in perceived shopping value and retail store loyalty. Consumer with a higher level of perceived shopping value and retail store loyalty will be more likely to develop purchase intention.
{"title":"Conceptual Model of Consumers Purchase Intention Towards Smart Retail: A Literature Review","authors":"Muriani Emelda Isharyani, B. M. Sopha, M. A. Wibisono","doi":"10.1145/3429789.3429812","DOIUrl":"https://doi.org/10.1145/3429789.3429812","url":null,"abstract":"This study develops a conceptual model that linked smart consumer experience with consumer purchase intention toward smart retail, in order to identified factors that influence consumer to make purchase at smart retail. As a viewpoint, this study employs a review of theories, knowledge, ideas, and findings in academically oriented literature, drawing upon the actual challenges in smart retail, to propose a new perspective and formulates an emerging research agenda. The research model proposes that perceived advantage, perceived ease of use, perceived enjoyment, perceived risk, perceived novelty of SRT, personalization, and interactivity drive consumer experience with smart technology in retail environment, which leads to increases in perceived shopping value and retail store loyalty. Consumer with a higher level of perceived shopping value and retail store loyalty will be more likely to develop purchase intention.","PeriodicalId":416230,"journal":{"name":"Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133282704","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}
Indonesia is the leading country of palm oil producers, it reaches a total area of 12.5 million hectares plantation. It generates excessive wastes as well. From those wastes, Oil Palm Frond (OPF) contributes to 61% of it. It is usually being left as a waste in the natural environment or become a fertilizer around the plantation. Instead of leaving it as a waste, it is better to make use of OPF to become a renewable source of energy. It could be a substrate to produce bioethanol because of its high sugar content. The objective of this study is to find the best method and condition to use OPF as bioethanol fermentation raw material. The methodology used in this study is literature review. Several studies have been done. It is proven that there are two ways to process OPF. First method consists of physical pretreatment of milling and drying the OPF, to obtain the dried fibers before it goes to chemical pretreatment, which includes soaking the OPF in acid or alkaline solution, prior to fermentation using Saccharomyces Cerevisiae. Another method, fermentation is carried out on the juice obtained by simply pressing the OPF. From all the research reviewed, the best method is using the juice pressed from OPF. The juice from OPF could consists up to 650 g/L sugar and has high yield of ethanol production. The OPF should be from an oil palm tree with the age of 3--4 years old to have optimum sugar content. Also, OPF that is directly connected to the inner part of the trunk have the possibility to contain more sugars than other fronds.
{"title":"Bioethanol Production from Oil Palm Fronds Biomass Waste Review","authors":"N. Gloria, Evita H. Legowo, I. Kartawiria","doi":"10.1145/3429789.3429854","DOIUrl":"https://doi.org/10.1145/3429789.3429854","url":null,"abstract":"Indonesia is the leading country of palm oil producers, it reaches a total area of 12.5 million hectares plantation. It generates excessive wastes as well. From those wastes, Oil Palm Frond (OPF) contributes to 61% of it. It is usually being left as a waste in the natural environment or become a fertilizer around the plantation. Instead of leaving it as a waste, it is better to make use of OPF to become a renewable source of energy. It could be a substrate to produce bioethanol because of its high sugar content. The objective of this study is to find the best method and condition to use OPF as bioethanol fermentation raw material. The methodology used in this study is literature review. Several studies have been done. It is proven that there are two ways to process OPF. First method consists of physical pretreatment of milling and drying the OPF, to obtain the dried fibers before it goes to chemical pretreatment, which includes soaking the OPF in acid or alkaline solution, prior to fermentation using Saccharomyces Cerevisiae. Another method, fermentation is carried out on the juice obtained by simply pressing the OPF. From all the research reviewed, the best method is using the juice pressed from OPF. The juice from OPF could consists up to 650 g/L sugar and has high yield of ethanol production. The OPF should be from an oil palm tree with the age of 3--4 years old to have optimum sugar content. Also, OPF that is directly connected to the inner part of the trunk have the possibility to contain more sugars than other fronds.","PeriodicalId":416230,"journal":{"name":"Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134137851","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}
Supply Chain has components such as vendors, manufacturers, factories, warehouses retailers, customers, etc. Every relationship between components must have good information in order to create informed business decisions. Sales forecast are part of a decline in supply chain function and are a way to predict future product sales. The large gap between demand forecasting and actual demand proves that the forecasting method used in forecasting is not quite right so it can cause high error rates. In this study, the calculation of demand forecasting using the Artificial Neural Network (ANN) method was chosen as a good method because ANN learning method that works through an iterative process using training data comparing the predicted value of the network each sample of data and the weight of the network relation in each process is modified to minimize the value of Mean Squared Error (MSE). With the right parameters and good training in the data, the error number at the ANN calculation output using MATLAB will produce demand forecasting numbers that are getting closer to the actual demand numbers. The application of the ANN method to demand forecasting can make improvements to the error value performance using the MSE, MAD equation. and MAPE. The decline in MSE in 2018 from 1,894,299,389 to 26,612,567, in 2019 from 1,035,177,794 to 16,889,433, and in 2020 from 426,876,921 to 2,647,350. The decline in MAD in 2018 from 42,089 to 3,324, in 2019 from 26,924 to 2,888, and in 2020 from 20,661 to 1,627. MAPE reduction in 2018 from 23% to 2%, 2019 from 15% to 2%, and in 2020 from 11% to 1%.
{"title":"Demand Forecasting for Drinking Water Products to Reduce Gap Between Estimation and Realization of Demand Using Artificial Neural Network (ANN) Methods in PT. XYZ","authors":"R. Syafitri, A. Ridwan, Nia Novitasari","doi":"10.1145/3429789.3429844","DOIUrl":"https://doi.org/10.1145/3429789.3429844","url":null,"abstract":"Supply Chain has components such as vendors, manufacturers, factories, warehouses retailers, customers, etc. Every relationship between components must have good information in order to create informed business decisions. Sales forecast are part of a decline in supply chain function and are a way to predict future product sales. The large gap between demand forecasting and actual demand proves that the forecasting method used in forecasting is not quite right so it can cause high error rates. In this study, the calculation of demand forecasting using the Artificial Neural Network (ANN) method was chosen as a good method because ANN learning method that works through an iterative process using training data comparing the predicted value of the network each sample of data and the weight of the network relation in each process is modified to minimize the value of Mean Squared Error (MSE). With the right parameters and good training in the data, the error number at the ANN calculation output using MATLAB will produce demand forecasting numbers that are getting closer to the actual demand numbers. The application of the ANN method to demand forecasting can make improvements to the error value performance using the MSE, MAD equation. and MAPE. The decline in MSE in 2018 from 1,894,299,389 to 26,612,567, in 2019 from 1,035,177,794 to 16,889,433, and in 2020 from 426,876,921 to 2,647,350. The decline in MAD in 2018 from 42,089 to 3,324, in 2019 from 26,924 to 2,888, and in 2020 from 20,661 to 1,627. MAPE reduction in 2018 from 23% to 2%, 2019 from 15% to 2%, and in 2020 from 11% to 1%.","PeriodicalId":416230,"journal":{"name":"Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125096098","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}
Rully Kusumajaya, Nurdianti Rizki Hapsari, Yuki Istianto, A. Nugroho, G. Wibowanto
Biometrics is already popularly used on various applications for authentication, especially authentication using smartphone. Various smartphone applications are developed to authenticating the users using biometrics modality, such as face, fingerprint and even iris. The combination between biometrics and smartphone enable the users to be authenticated and able to access the information and services. We proposed a remote biometric authentication, a system to access the public services using smartphone and biometrics for authentication. This system is intended to be connected to a Biometric Identity Service which host the enrolled biometric data. The result of authentication will be subsequently passed to the third party / public service providers to ensure that the person is identified correctly and has the right to access the public service. Fingerprint is chosen as biometrics trait, and the experimental results shows that the system is able to authenticated the user remotely. The finger of the resident is scanned by a fingerprint sensor connected to the smartphone, and it is sent to a server in the third party for authentication. The authentication result is returned back to the client. If it is success, the resident is allowed to access the public service. The system was evaluated using 22 persons and the result was promising.
{"title":"Design of Remote Biometrics Authentication System to Access Public Services from Remote Area","authors":"Rully Kusumajaya, Nurdianti Rizki Hapsari, Yuki Istianto, A. Nugroho, G. Wibowanto","doi":"10.1145/3429789.3429866","DOIUrl":"https://doi.org/10.1145/3429789.3429866","url":null,"abstract":"Biometrics is already popularly used on various applications for authentication, especially authentication using smartphone. Various smartphone applications are developed to authenticating the users using biometrics modality, such as face, fingerprint and even iris. The combination between biometrics and smartphone enable the users to be authenticated and able to access the information and services. We proposed a remote biometric authentication, a system to access the public services using smartphone and biometrics for authentication. This system is intended to be connected to a Biometric Identity Service which host the enrolled biometric data. The result of authentication will be subsequently passed to the third party / public service providers to ensure that the person is identified correctly and has the right to access the public service. Fingerprint is chosen as biometrics trait, and the experimental results shows that the system is able to authenticated the user remotely. The finger of the resident is scanned by a fingerprint sensor connected to the smartphone, and it is sent to a server in the third party for authentication. The authentication result is returned back to the client. If it is success, the resident is allowed to access the public service. The system was evaluated using 22 persons and the result was promising.","PeriodicalId":416230,"journal":{"name":"Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124765350","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}
Indonesia has a high potential of solar energy due to its location on the equator and in this paper, experimental testbed for PV-Battery hybrid system is developed and discussed. The hybrid system is designed to supply electricity during the night time with on-grid inverters. Practical and inexpensive solar PV-Battery hybrid system was developed and tested in Tangerang area with flexible AC electric production during the daytime as well as the night time. Practical issues for hybrid system were discovered such as limited range of inverter output voltage, sensitivity of solar panel electric production to its position and shading, accurate DC current sensor, cable and component overheating, lower inverter conversion efficiency than what specification states, safety on charging Lithium-Ion battery. Conclusions from this study are that wet battery seems to store more electric energy and more robust than the free maintenance battery, battery voltage is not a good indicator for battery level of charged, solar panel electric production is sensitive to its position and clearness from the shading, measurement of cable and component temperature is needed to justify enough cable size to deliver designed electric power, enough capacity of the component and quality of connections, care need to be taken when Lithium-ion batteries are used due to possible explosion for too high charging current.
{"title":"Experimental Testbed for Solar PV-Battery Hybrid System","authors":"D. Hendriana, E. Sinaga, Arko Djajadi","doi":"10.1145/3429789.3429875","DOIUrl":"https://doi.org/10.1145/3429789.3429875","url":null,"abstract":"Indonesia has a high potential of solar energy due to its location on the equator and in this paper, experimental testbed for PV-Battery hybrid system is developed and discussed. The hybrid system is designed to supply electricity during the night time with on-grid inverters. Practical and inexpensive solar PV-Battery hybrid system was developed and tested in Tangerang area with flexible AC electric production during the daytime as well as the night time. Practical issues for hybrid system were discovered such as limited range of inverter output voltage, sensitivity of solar panel electric production to its position and shading, accurate DC current sensor, cable and component overheating, lower inverter conversion efficiency than what specification states, safety on charging Lithium-Ion battery. Conclusions from this study are that wet battery seems to store more electric energy and more robust than the free maintenance battery, battery voltage is not a good indicator for battery level of charged, solar panel electric production is sensitive to its position and clearness from the shading, measurement of cable and component temperature is needed to justify enough cable size to deliver designed electric power, enough capacity of the component and quality of connections, care need to be taken when Lithium-ion batteries are used due to possible explosion for too high charging current.","PeriodicalId":416230,"journal":{"name":"Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130422201","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}
Digital Wallet is growing rapidly in the last 5 years. This study aims to identify the influencing factors user intentions to use and recommend digital wallets based on a multi-generation preference perspective. 205 respondent's data obtained by filling in an online form at Google form. This study is using the Partial Least Square (PLS) method using SMARTPLS 3 software, the results of data analysis show in Generation X, Perceived ease of use, Perceived Usefulness, Compatibility, and Trust positively influence Intention to Use. factors that influence intention to use in generation Y are Perceived Usefulness, Perceived Behavioral Control, and Trust. Factors that influence generation Z are Perceived Ease of Use, and Perceived Usefulness. Based on these results, 10 strategic recommendations were proposed. Based on the TOPSIS method and importance-performance analysis, the best strategy for generation X is the compatibility of digital wallet to the payment of transportation services, while in generation Y and generation Z The priority strategy is campaigning the uses of the wallet digital. In general, strategies that have high priority are those related to conformity with public transportation payments, campaigns about the use of digital wallets, the conciseness of digital wallet applications, and the completeness of bill payment services.
{"title":"Developing Digital Wallet Services in Indonesia: A Multigeneration Perspective","authors":"Arindy, A. Suzianti","doi":"10.1145/3429789.3429811","DOIUrl":"https://doi.org/10.1145/3429789.3429811","url":null,"abstract":"Digital Wallet is growing rapidly in the last 5 years. This study aims to identify the influencing factors user intentions to use and recommend digital wallets based on a multi-generation preference perspective. 205 respondent's data obtained by filling in an online form at Google form. This study is using the Partial Least Square (PLS) method using SMARTPLS 3 software, the results of data analysis show in Generation X, Perceived ease of use, Perceived Usefulness, Compatibility, and Trust positively influence Intention to Use. factors that influence intention to use in generation Y are Perceived Usefulness, Perceived Behavioral Control, and Trust. Factors that influence generation Z are Perceived Ease of Use, and Perceived Usefulness. Based on these results, 10 strategic recommendations were proposed. Based on the TOPSIS method and importance-performance analysis, the best strategy for generation X is the compatibility of digital wallet to the payment of transportation services, while in generation Y and generation Z The priority strategy is campaigning the uses of the wallet digital. In general, strategies that have high priority are those related to conformity with public transportation payments, campaigns about the use of digital wallets, the conciseness of digital wallet applications, and the completeness of bill payment services.","PeriodicalId":416230,"journal":{"name":"Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129312546","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}
The purpose of this study is to consider the role of industrial engineering in the era of COVID-19. This paper is divided into three parts. Firstly, the history of industrial engineering are reviewed to confirm the richness and compensation of life brought by the division of labor. Second part describes the exchange that should be paired with the division of labor, and what it is like to be, and then explain that the integration of division of labor and its exchange is the future issue for humanity. Third part, regarding the touch strategy that is the first step of exchange, reviews the concept of visual management, which is a precedent case, and try to systematize the three touch strategies that people tried in the early stages of the spread of COVID-19 in Japan. The results obtained from this survey argue that it is important for industrial engineering, which has been trying to understand management resources from various perspectives, to engage not only in the division of labor, but also in their exchange. Also, in an era where environmental destruction and digitalization are progressing at a speed that humanity does not notice, the findings can be considered as a problem in order to create human resources people whose value is higher than ever.
{"title":"On the Role of Industrial Engineering in the COVID-19 Era","authors":"Koichi Murata","doi":"10.1145/3429789.3429798","DOIUrl":"https://doi.org/10.1145/3429789.3429798","url":null,"abstract":"The purpose of this study is to consider the role of industrial engineering in the era of COVID-19. This paper is divided into three parts. Firstly, the history of industrial engineering are reviewed to confirm the richness and compensation of life brought by the division of labor. Second part describes the exchange that should be paired with the division of labor, and what it is like to be, and then explain that the integration of division of labor and its exchange is the future issue for humanity. Third part, regarding the touch strategy that is the first step of exchange, reviews the concept of visual management, which is a precedent case, and try to systematize the three touch strategies that people tried in the early stages of the spread of COVID-19 in Japan. The results obtained from this survey argue that it is important for industrial engineering, which has been trying to understand management resources from various perspectives, to engage not only in the division of labor, but also in their exchange. Also, in an era where environmental destruction and digitalization are progressing at a speed that humanity does not notice, the findings can be considered as a problem in order to create human resources people whose value is higher than ever.","PeriodicalId":416230,"journal":{"name":"Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry","volume":"50 9","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120954188","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：