In Indonesia's rapidly growing e-commerce industry, customer experience, engagement, and loyalty are pivotal variables for business success and sustainability. By addressing gaps in understanding these critical factors to enhance positive customer experiences, optimize engagement levels, and fortify customer loyalty. This research aims to identify key factors influencing customer experience, engagement, and loyalty in Indonesia's e-commerce industry, hence resulting in practical implementation recommendations for companies interested in developing an e-commerce platform or as a reference for future research. This study employs an explanatory qualitative approach to explore the intricate relationship between customer experience, engagement, and loyalty in the dynamic landscape of the e-commerce industry. Data is gathered from five prominent e-commerce platforms in Indonesia. The qualitative analysis delves into the narratives of these respondents, uncovering rich insights into their perceptions. Recommendations to bridge these gaps include implementing live chat with sellers, elevating personalized content and recommendations, prioritizing responsiveness and page loading speed, emphasizing security in online shopping, and amplifying personalized content and recommendations during customer engagement. Adopting these strategies, e-commerce companies can deliver more gratifying customer experiences, elevate engagement, and strengthen loyalty, thus establishing a competitive advantage in this dynamic market and fostering sustainable business growth. The research identifies factors impacting customer experience, engagement, and loyalty in e-commerce. Key factors for a positive experience include discounts, product quality, user interface, and customer support. Addressing gaps between factors and expectations can enhance satisfaction and loyalty. Recommendations include live chat, personalization, speed, security, and content improvement for a competitive advantage and sustainable growth. The recommendations for future research include conducting a comparative analysis, undertaking a longitudinal study, testing implementation strategies, and measuring long-term loyalty effects.
{"title":"Analysis of Key Factors for Improved Customer Experience, Engagement, and Loyalty in the E-Commerce Industry in Indonesia","authors":"Antonius Felix, G. Rembulan","doi":"10.34306/att.v5i2sp.350","DOIUrl":"https://doi.org/10.34306/att.v5i2sp.350","url":null,"abstract":"In Indonesia's rapidly growing e-commerce industry, customer experience, engagement, and loyalty are pivotal variables for business success and sustainability. By addressing gaps in understanding these critical factors to enhance positive customer experiences, optimize engagement levels, and fortify customer loyalty. This research aims to identify key factors influencing customer experience, engagement, and loyalty in Indonesia's e-commerce industry, hence resulting in practical implementation recommendations for companies interested in developing an e-commerce platform or as a reference for future research. This study employs an explanatory qualitative approach to explore the intricate relationship between customer experience, engagement, and loyalty in the dynamic landscape of the e-commerce industry. Data is gathered from five prominent e-commerce platforms in Indonesia. The qualitative analysis delves into the narratives of these respondents, uncovering rich insights into their perceptions. Recommendations to bridge these gaps include implementing live chat with sellers, elevating personalized content and recommendations, prioritizing responsiveness and page loading speed, emphasizing security in online shopping, and amplifying personalized content and recommendations during customer engagement. Adopting these strategies, e-commerce companies can deliver more gratifying customer experiences, elevate engagement, and strengthen loyalty, thus establishing a competitive advantage in this dynamic market and fostering sustainable business growth. The research identifies factors impacting customer experience, engagement, and loyalty in e-commerce. Key factors for a positive experience include discounts, product quality, user interface, and customer support. Addressing gaps between factors and expectations can enhance satisfaction and loyalty. Recommendations include live chat, personalization, speed, security, and content improvement for a competitive advantage and sustainable growth. The recommendations for future research include conducting a comparative analysis, undertaking a longitudinal study, testing implementation strategies, and measuring long-term loyalty effects.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115626122","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}
This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration of AI and IoT technologies offers unprecedented opportunities to revolutionize various aspects of tourism, from personalized recommendations to real-time data collection. The research aims to provide a comprehensive analysis of the current state, challenges, and future direction of STDs in the context of AI and IoT integration. It explores various AI techniques and IoT-enabled data collection mechanisms that can enrich the traveler experience and improve destination management. However, challenges such as privacy and data security issues need to be addressed. The research also provides foresight into future technologies like Augmented Reality (AR) and Virtual Reality (VR) that can further enhance STDs. The ultimate goal is to contribute to the development of smarter, visitor-oriented tourism destinations. The research highlights the significance of AI in shaping STDs and emphasizes the importance of addressing ethical considerations, data quality, interpretability, and human-AI collaboration to ensure responsible and effective use of AI in the tourism industry.
{"title":"Implications of Distributed Energy Development in Blockchain-Based Institutional Environment","authors":"Karno Diantoro, Dedeh Supriyanti, Ardi, Yulia Putri, Ayu Sanjaya, Sri Watini","doi":"10.34306/att.v5i2sp.343","DOIUrl":"https://doi.org/10.34306/att.v5i2sp.343","url":null,"abstract":"This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration of AI and IoT technologies offers unprecedented opportunities to revolutionize various aspects of tourism, from personalized recommendations to real-time data collection. The research aims to provide a comprehensive analysis of the current state, challenges, and future direction of STDs in the context of AI and IoT integration. It explores various AI techniques and IoT-enabled data collection mechanisms that can enrich the traveler experience and improve destination management. However, challenges such as privacy and data security issues need to be addressed. The research also provides foresight into future technologies like Augmented Reality (AR) and Virtual Reality (VR) that can further enhance STDs. The ultimate goal is to contribute to the development of smarter, visitor-oriented tourism destinations. The research highlights the significance of AI in shaping STDs and emphasizes the importance of addressing ethical considerations, data quality, interpretability, and human-AI collaboration to ensure responsible and effective use of AI in the tourism industry.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133423001","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}
Ahmad Wijaya Kusuma, Yuwan Jumaryadi, Samidi, Richard, Anandha Fitriani
This study addresses the pressing need to comprehensively manage air pollution by examining the roles of local and national public agencies from the perspective of the general public. Air quality poses a critical challenge that profoundly impacts various aspects of human life. To enhance our understanding and generate both theoretical and practical insights for public management, this research introduces several key variables: the engagement of authorities in mitigating air pollution, citizen involvement in pollution reduction efforts, financial incentives for individuals and businesses to adopt air-friendly behaviors, urban green investments, the communal consequences of air pollution, and the necessity for industrial participation. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM) as the research approach, data was gathered from residents of Indonesia's largest cities, where pollution significantly affects society and governing bodies. The findings are pertinent for public managers at both local and national levels, providing valuable input to enhance strategies for curbing air pollution, enhancing air quality, and ultimately improving the well-being of inhabitants.
{"title":"Examining the Joint Effects of Air Quality, Socioeconomic Factors on Indonesian Health","authors":"Ahmad Wijaya Kusuma, Yuwan Jumaryadi, Samidi, Richard, Anandha Fitriani","doi":"10.34306/att.v5i2sp.338","DOIUrl":"https://doi.org/10.34306/att.v5i2sp.338","url":null,"abstract":" This study addresses the pressing need to comprehensively manage air pollution by examining the roles of local and national public agencies from the perspective of the general public. Air quality poses a critical challenge that profoundly impacts various aspects of human life. To enhance our understanding and generate both theoretical and practical insights for public management, this research introduces several key variables: the engagement of authorities in mitigating air pollution, citizen involvement in pollution reduction efforts, financial incentives for individuals and businesses to adopt air-friendly behaviors, urban green investments, the communal consequences of air pollution, and the necessity for industrial participation. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM) as the research approach, data was gathered from residents of Indonesia's largest cities, where pollution significantly affects society and governing bodies. The findings are pertinent for public managers at both local and national levels, providing valuable input to enhance strategies for curbing air pollution, enhancing air quality, and ultimately improving the well-being of inhabitants.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125580824","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}
Asep Sutarman, U. Rahardja, Fitra Putri Oganda, S. Millah, Nadia Nur Azizah
This research aimed to assess IT's role in the creative economy. Three goals were: to gauge creative economy impact on tourist satisfaction, identify its influence on satisfaction, and provide smart tourism advice. Using a quantitative approach, data was gathered from 100 Smart Tourism users. Hypotheses were tested via Partial Least Squares Regression using SmartPLS. The model proved valid and reliable. Findings showed positive creative economy impact on tourist satisfaction. Despite its insights, the research is limited by a small sample size, potentially causing generalizability and bias issues. Practical implications include advocating smart tech adoption for improved satisfaction, promoting sustainable tourism collaboration, involving communities for aligned development, and considering environmental impacts in initiatives.
{"title":"The Role of Information Technology in Empowering the Creative Economy for Sustainable Tourism","authors":"Asep Sutarman, U. Rahardja, Fitra Putri Oganda, S. Millah, Nadia Nur Azizah","doi":"10.34306/att.v5i2sp.352","DOIUrl":"https://doi.org/10.34306/att.v5i2sp.352","url":null,"abstract":" This research aimed to assess IT's role in the creative economy. Three goals were: to gauge creative economy impact on tourist satisfaction, identify its influence on satisfaction, and provide smart tourism advice. Using a quantitative approach, data was gathered from 100 Smart Tourism users. Hypotheses were tested via Partial Least Squares Regression using SmartPLS. The model proved valid and reliable. Findings showed positive creative economy impact on tourist satisfaction. Despite its insights, the research is limited by a small sample size, potentially causing generalizability and bias issues. Practical implications include advocating smart tech adoption for improved satisfaction, promoting sustainable tourism collaboration, involving communities for aligned development, and considering environmental impacts in initiatives.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132690942","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}
Mochamad Heru, Riza Chakim, Mulyati, P. A. Sunarya, Vertika Agarwal, Ihsan Nuril Hikam
This study explores the vital role of village tourism in fostering innovation and elevating the creative economy. Through enhancing tourist experiences and advancing local innovation, it investigates the intricate impacts of village tourism on innovation, the creative economy, and society. Utilizing a qualitative approach, 145 participants are engaged via surveys to analyze factors that influence Tourism Village: Environment (En), Economic (Ec), Socio-Culture (SC), Innovation Promotion (IP), and Tourism (Tr). Employing partial quadratic-structural equation modeling through SmartPLS, it examines how citizen engagement and tourism-induced economic gains influence psychological, social, and political empowerment, and place attachment. The findings emphasize village tourism's vast potential in driving innovation, igniting creativity, and contributing significantly to economic and social growth. Nonetheless, its sustainability relies on harmonizing social, economic, and environmental aspects. The study underscores the urgency of sustainable management for lasting benefits for locals and visitors alike. Synthesizing impacts, contributions, challenges, solutions, novel insights, and revelations, this research highlights village tourism's transformative power in propelling innovation-focused advancement in the creative economy, highlighting the necessity of responsible management approaches.
{"title":"Village Tourism Empowerment Against Innovation, Economy Creative, and Social Environmental","authors":"Mochamad Heru, Riza Chakim, Mulyati, P. A. Sunarya, Vertika Agarwal, Ihsan Nuril Hikam","doi":"10.34306/att.v5i2sp.342","DOIUrl":"https://doi.org/10.34306/att.v5i2sp.342","url":null,"abstract":"This study explores the vital role of village tourism in fostering innovation and elevating the creative economy. Through enhancing tourist experiences and advancing local innovation, it investigates the intricate impacts of village tourism on innovation, the creative economy, and society. Utilizing a qualitative approach, 145 participants are engaged via surveys to analyze factors that influence Tourism Village: Environment (En), Economic (Ec), Socio-Culture (SC), Innovation Promotion (IP), and Tourism (Tr). Employing partial quadratic-structural equation modeling through SmartPLS, it examines how citizen engagement and tourism-induced economic gains influence psychological, social, and political empowerment, and place attachment. The findings emphasize village tourism's vast potential in driving innovation, igniting creativity, and contributing significantly to economic and social growth. Nonetheless, its sustainability relies on harmonizing social, economic, and environmental aspects. The study underscores the urgency of sustainable management for lasting benefits for locals and visitors alike. Synthesizing impacts, contributions, challenges, solutions, novel insights, and revelations, this research highlights village tourism's transformative power in propelling innovation-focused advancement in the creative economy, highlighting the necessity of responsible management approaches.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124638862","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}
An organization or business entity has multiple goals, including providing happiness to stakeholders, fostering harmony with the surrounding environment and nature, and instilling universal, transcendental values in each member. The role of each individual in an organization or business entity is crucial as they are the source of human power. Therefore, self-control is an important aspect that must be addressed. According to various studies, organizations or business entities that incorporate spirituality in their activities have proven to be sustainable and successful. The Management Control System (MCS) can play a role in achieving this. This study adopts a qualitative, exploratory research approach to gain a deeper understanding of the essence of the MCS based on the Cattari Ariya Saccani approach. which is not well known to the public and could lead to the creation of a new conceptual model. Cattari Ariya Saccani is a Buddhist teaching that integrates self-control with noble values and spiritual dimensions, different from the general MCS, making it suitable for exploring its unique essence. This study aims to contribute to existing theory by providing insights into the Cattari Ariya Saccani approach to MCS, which balances material, rational, and formal aspects of MCS with spiritual and ethical considerations. This research contributes to the literature by advancing the understanding of integrating religious principles into the business and management context. The practical implications suggest that organizations could consider adopting Buddhist principles through the Cattari Ariya Saccani approach as a means to enhance wisdom and ethical decision-making, as well as to promote sustainability in their operations.
{"title":"Integrating Buddhist Principles Into Management Control Systems: A Cattari Ariya Saccani Approach","authors":"Irma Cahyani Kawi, Wiyono Pontjoharyo","doi":"10.34306/att.v5i2sp.326","DOIUrl":"https://doi.org/10.34306/att.v5i2sp.326","url":null,"abstract":"An organization or business entity has multiple goals, including providing happiness to stakeholders, fostering harmony with the surrounding environment and nature, and instilling universal, transcendental values in each member. The role of each individual in an organization or business entity is crucial as they are the source of human power. Therefore, self-control is an important aspect that must be addressed. According to various studies, organizations or business entities that incorporate spirituality in their activities have proven to be sustainable and successful. The Management Control System (MCS) can play a role in achieving this. \u0000 This study adopts a qualitative, exploratory research approach to gain a deeper understanding of the essence of the MCS based on the Cattari Ariya Saccani approach. which is not well known to the public and could lead to the creation of a new conceptual model. Cattari Ariya Saccani is a Buddhist teaching that integrates self-control with noble values and spiritual dimensions, different from the general MCS, making it suitable for exploring its unique essence. This study aims to contribute to existing theory by providing insights into the Cattari Ariya Saccani approach to MCS, which balances material, rational, and formal aspects of MCS with spiritual and ethical considerations. This research contributes to the literature by advancing the understanding of integrating religious principles into the business and management context. The practical implications suggest that organizations could consider adopting Buddhist principles through the Cattari Ariya Saccani approach as a means to enhance wisdom and ethical decision-making, as well as to promote sustainability in their operations.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123311203","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}
Marviola Hardini, Mochamad Heru Riza Chakim, Lena Magdalena, Hiroshi Kenta, Ageng Setiani Rafika, Dwi Julianingsih
Air quality has become a major public concern due to the significant threat posed by air pollution to human health, and rapid and efficient monitoring of air quality is crucial for pollution control and human health. In this paper, deep learning and image-based models are proposed to estimate air quality. To evaluate the level of air quality, the model collects feature information from landscape photos taken by mobile cameras. To analyze public perception of air quality, researchers collected questionnaire data from 257 people. The Smartpls method allows for structural analysis to determine the influence of each variable on other variables and the extent of their contribution to the final variable of overall perception of air quality. This study aims to develop a novel approach for air quality prediction using image-based data and machine learning techniques. The research used convolutional neural networks to extract features from images and predict the air quality index. The study was conducted using a dataset obtained from a network of air quality sensors across the city. The results of the study showed that the proposed approach can provide accurate air quality predictions compared to the traditional methods. The developed model was able to capture the complex relationships between air quality and environmental factors, such as temperature and humidity. The implications of the study suggest that image-based air quality prediction can be a powerful tool for improving public health and reducing the impact of air pollution. The study's findings hold promise for a healthier future by facilitating more effective pollution management and improved air quality regulation. The study's primary novelty lies in its approach to air quality prediction by deploying convolutional neural networks to extract image features for predicting air quality indices. This application of advanced machine learning techniques to image-based data for air quality estimation marks a significant advancement.
{"title":"Image-based Air Quality Prediction using Convolutional Neural Networks and Machine Learning","authors":"Marviola Hardini, Mochamad Heru Riza Chakim, Lena Magdalena, Hiroshi Kenta, Ageng Setiani Rafika, Dwi Julianingsih","doi":"10.34306/att.v5i1sp.337","DOIUrl":"https://doi.org/10.34306/att.v5i1sp.337","url":null,"abstract":"Air quality has become a major public concern due to the significant threat posed by air pollution to human health, and rapid and efficient monitoring of air quality is crucial for pollution control and human health. In this paper, deep learning and image-based models are proposed to estimate air quality. To evaluate the level of air quality, the model collects feature information from landscape photos taken by mobile cameras. To analyze public perception of air quality, researchers collected questionnaire data from 257 people. The Smartpls method allows for structural analysis to determine the influence of each variable on other variables and the extent of their contribution to the final variable of overall perception of air quality. This study aims to develop a novel approach for air quality prediction using image-based data and machine learning techniques. The research used convolutional neural networks to extract features from images and predict the air quality index. The study was conducted using a dataset obtained from a network of air quality sensors across the city. The results of the study showed that the proposed approach can provide accurate air quality predictions compared to the traditional methods. The developed model was able to capture the complex relationships between air quality and environmental factors, such as temperature and humidity. The implications of the study suggest that image-based air quality prediction can be a powerful tool for improving public health and reducing the impact of air pollution. The study's findings hold promise for a healthier future by facilitating more effective pollution management and improved air quality regulation. The study's primary novelty lies in its approach to air quality prediction by deploying convolutional neural networks to extract image features for predicting air quality indices. This application of advanced machine learning techniques to image-based data for air quality estimation marks a significant advancement.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129599129","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}
Chandra Lukita, Greian April Pangilinan, Mochamad Heru, Riza Chakim, Dimas Bagus Saputra, Aliyah
This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration of AI and IoT technologies offers unprecedented opportunities to revolutionize various aspects of tourism, from personalized recommendations to real-time data collection. The research aims to provide a comprehensive analysis of the current state, challenges, and future direction of STDs in the context of AI and IoT integration. It explores various AI techniques and IoT-enabled data collection mechanisms that can enrich the traveler experience and improve destination management. However, challenges such as privacy and data security issues need to be addressed. The research also provides foresight into future technologies like Augmented Reality (AR) and Virtual Reality (VR) that can further enhance STDs. The ultimate goal is to contribute to the development of smarter, visitor-oriented tourism destinations. The research highlights the significance of AI in shaping STDs and emphasizes the importance of addressing ethical considerations, data quality, interpretability, and human-AI collaboration to ensure responsible and effective use of AI in the tourism industry.
{"title":"Examining the Impact of Artificial Intelligence and Internet of Things on Smart Tourism Destinations: A Comprehensive Study","authors":"Chandra Lukita, Greian April Pangilinan, Mochamad Heru, Riza Chakim, Dimas Bagus Saputra, Aliyah","doi":"10.34306/att.v5i2sp.332","DOIUrl":"https://doi.org/10.34306/att.v5i2sp.332","url":null,"abstract":"This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration of AI and IoT technologies offers unprecedented opportunities to revolutionize various aspects of tourism, from personalized recommendations to real-time data collection. The research aims to provide a comprehensive analysis of the current state, challenges, and future direction of STDs in the context of AI and IoT integration. It explores various AI techniques and IoT-enabled data collection mechanisms that can enrich the traveler experience and improve destination management. However, challenges such as privacy and data security issues need to be addressed. The research also provides foresight into future technologies like Augmented Reality (AR) and Virtual Reality (VR) that can further enhance STDs. The ultimate goal is to contribute to the development of smarter, visitor-oriented tourism destinations. The research highlights the significance of AI in shaping STDs and emphasizes the importance of addressing ethical considerations, data quality, interpretability, and human-AI collaboration to ensure responsible and effective use of AI in the tourism industry.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114175559","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}
Suhermi, Rinto, Singgih, Sri Watini, Nova Ramadhona
Satisfaction is one aspect that assesses the quality of health services, namely in serving food in hospitals. The purpose of this study was to describe the level of patient satisfaction with food at the Eri Soedewo Pavilion, Gatot Soebroto Army Hospital. The results of a study of 47 patients in the Eri Soedewo Pavilion in June 2021 showed that the remaining food of patients who consumed 20%, 35 patients were categorized as good, while 12 patients had the remaining food consumed 20%, which was classified as not good. Therefore, researchers are interested in conducting this research. Methods: The type of research used is observational with a cross-sectional design. Samples were taken using purposive sampling with inclusion criteria: male and female inpatients aged18 years admitted for at least two days, patients who received oral food from the hospital, were not illiterate and could communicate, had signed the PSP form and were willing as research samples. The model in this study was 47 patients taken in June 2021. Results: Based on the sample size calculation, 47 people were determined. The results of the level of patient satisfaction at the Eri Soedewo Pavilion, Gatot Soebroto Army Hospital, found that the performance of food serving has not met the minimum standard set, namely 90%. With a higher percentage of reality, namely with an average of 82.0%, the average expectation percentage is 76.7%. However, suppose the real results are compared with patient expectations. In that case, the result is that the patient is satisfied with the services provided. Artificial intelligence can assess medical data, food preferences, and patient feedback to improve food serving performance.
{"title":"Predicting Patient Satisfaction Levels Using Artificial Intelligence Technology for Food Service at ERI Soedewo RSPAD Gatot Soebroto","authors":"Suhermi, Rinto, Singgih, Sri Watini, Nova Ramadhona","doi":"10.34306/att.v5i2sp.334","DOIUrl":"https://doi.org/10.34306/att.v5i2sp.334","url":null,"abstract":"Satisfaction is one aspect that assesses the quality of health services, namely in serving food in hospitals. The purpose of this study was to describe the level of patient satisfaction with food at the Eri Soedewo Pavilion, Gatot Soebroto Army Hospital. The results of a study of 47 patients in the Eri Soedewo Pavilion in June 2021 showed that the remaining food of patients who consumed 20%, 35 patients were categorized as good, while 12 patients had the remaining food consumed 20%, which was classified as not good. Therefore, researchers are interested in conducting this research. Methods: The type of research used is observational with a cross-sectional design. Samples were taken using purposive sampling with inclusion criteria: male and female inpatients aged18 years admitted for at least two days, patients who received oral food from the hospital, were not illiterate and could communicate, had signed the PSP form and were willing as research samples. The model in this study was 47 patients taken in June 2021. Results: Based on the sample size calculation, 47 people were determined. The results of the level of patient satisfaction at the Eri Soedewo Pavilion, Gatot Soebroto Army Hospital, found that the performance of food serving has not met the minimum standard set, namely 90%. With a higher percentage of reality, namely with an average of 82.0%, the average expectation percentage is 76.7%. However, suppose the real results are compared with patient expectations. In that case, the result is that the patient is satisfied with the services provided. Artificial intelligence can assess medical data, food preferences, and patient feedback to improve food serving performance.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130513074","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. Purno, Faridah Nurbaiti, Syaeful Bakhri, Ayus Ahmad Yusuf
The stock price of a company reflects the value of the company, the higher the share price of a company, the better the value of the company in the eyes of investors and vice versa. Stock Indices or Indices.The purpose of this study is to simultaneously and partially examine the effect of Earning Per Share, Return On Equity and Gross Domestic Product on stock prices in Consumer Goods sector companies listed in the Jakarta Islamic Index (JII) for the 2018-2020 period. This research uses quantitative research methods. This type of research is secondary data research. The sampling technique in this study uses the Purposive Sampling technique which is a sampling technique using certain considerations, where based on the selected sample there are 4 companies that are sampled, namely Indofood CBP Sukses Makmur Tbk., Indofood Sukses Makmur Tbk., Kalbe Farma Tbk., and Unilever Indonesia Tbk. Data analysis method used is the panel data regression analysis method.
公司的股价反映了公司的价值，公司的股价越高，在投资者眼中公司的价值越高，反之亦然。股票指数或指数。本研究的目的是同时和部分检验2018-2020年期间雅加达伊斯兰指数(JII)中上市的消费品行业公司的每股收益、股本回报率和国内生产总值对股票价格的影响。本研究采用定量研究方法。这种类型的研究是二级数据研究。本研究中的抽样技术使用了有目的抽样技术，这是一种使用某些考虑因素的抽样技术，根据所选样本，有4家公司被抽样，即Indofood CBP Sukses Makmur Tbk。印度食品suks Makmur Tbk。， Kalbe Farma Tbk。联合利华印度尼西亚Tbk。采用的数据分析方法是面板数据回归分析方法。
{"title":"Factors Affecting Stock Prices In Jakarta Islamic Index (JII) For The Period 2018-2020","authors":"M. Purno, Faridah Nurbaiti, Syaeful Bakhri, Ayus Ahmad Yusuf","doi":"10.34306/att.v5i1sp.321","DOIUrl":"https://doi.org/10.34306/att.v5i1sp.321","url":null,"abstract":"The stock price of a company reflects the value of the company, the higher the share price of a company, the better the value of the company in the eyes of investors and vice versa. Stock Indices or Indices.The purpose of this study is to simultaneously and partially examine the effect of Earning Per Share, Return On Equity and Gross Domestic Product on stock prices in Consumer Goods sector companies listed in the Jakarta Islamic Index (JII) for the 2018-2020 period. This research uses quantitative research methods. This type of research is secondary data research. The sampling technique in this study uses the Purposive Sampling technique which is a sampling technique using certain considerations, where based on the selected sample there are 4 companies that are sampled, namely Indofood CBP Sukses Makmur Tbk., Indofood Sukses Makmur Tbk., Kalbe Farma Tbk., and Unilever Indonesia Tbk. Data analysis method used is the panel data regression analysis method.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125534756","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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