Rasyid Tarmizi, Nanda Septiani, Po Abas Sunarya, Yulia Putri Ayu Sanjaya
{"title":"Harnessing Digital Platforms for Entrepreneurial Success: A Study of Technopreneurship Trends and Practices","authors":"Rasyid Tarmizi, Nanda Septiani, Po Abas Sunarya, Yulia Putri Ayu Sanjaya","doi":"10.34306/att.v5i3.360","DOIUrl":"https://doi.org/10.34306/att.v5i3.360","url":null,"abstract":"The digital era has opened opportunities for entrepreneurs (technopreneurs) to enhance their performance and market reach. However, a deep understanding of how the use of digital platforms, digital customer engagement, and operational efficiency through digitalization contribute to entrepreneurial success is still limited. This study aims to analyze the impact of digital platform usage, digital customer engagement, and operational efficiency through digitalization in the context of entrepreneurial success. The primary goal is to identify and measure the extent to which these three variables contribute to entrepreneurial success in the digital era. This research employs the Partial Least Squares Structural Equation Modeling (PLS-SEM) method using SmartPLS software. This approach was chosen due to its capability in handling complex models and exploratory data. Data was collected from an online survey completed by entrepreneurs actively using digital platforms in their businesses. The sample consists of 300 respondents representing various industry sectors and business sizes. The study's findings indicate that the use of digital platforms significantly enhances customer engagement and operational efficiency. Digital customer engagement plays a vital role in building loyalty and trust, which further influences business success. Operational efficiency through digitalization also contributes significantly to increasing productivity and reducing operational costs. Overall, this research provides empirical evidence that effective integration of digital technologies is key to entrepreneurial success in the digital era.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139213995","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}
U. Rusilowati, Fitra Putri Oganda, Reymund Rahardja, Tio Nurtino, Elsevier Aimee
{"title":"Innovation in Smart Marketing: The Role of Technopreneurs in Driving Educational Improvement","authors":"U. Rusilowati, Fitra Putri Oganda, Reymund Rahardja, Tio Nurtino, Elsevier Aimee","doi":"10.34306/att.v5i3.359","DOIUrl":"https://doi.org/10.34306/att.v5i3.359","url":null,"abstract":"This study explores the influence of marketing strategies, technology utilization, inclusive education policies, and collaboration with the industry sector on the positive image of educational institutions. Employing the SmartPLS approach and statistical analysis, the findings indicate that responsive marketing strategies, effective technology utilization, inclusive policies, and partnerships with the industry sector significantly impact the institution's image in education. In this research, it was found that market-responsive marketing strategies significantly affect the positive institutional image (T-statistics: 13.197), followed by technology utilization playing a crucial role in building a positive image (T-statistics: 11.735). Inclusive education policies and collaboration with the industry sector also have a significant impact on enhancing the institution's image (Inclusive Education Policy - Positive Image, T-statistics: 5.928; Collaboration with Industry Sector - Positive Image, T-statistics: 8.834). The research results affirm the importance of implementing adaptive marketing strategies and advanced technology in constructing a positive image of educational institutions in the eyes of the public. By strengthening these factors, educational institutions have the opportunity to meet stakeholders' expectations regarding the provided educational services. This study contributes significantly to understanding the factors influencing the reputation of educational institutions and provides strategic guidance for developing the educational institution's image towards a more positive and ad aptive direction.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139217993","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}
Sandy Kosasi, Chandra Lukita, Mochamad Heru Riza Chakim, Adam Faturahman, Dhiyah Ayu Rini Kusumawardhani
{"title":"The Influence of Digital Artificial Intelligence Technology on Quality of Life with a Global Perspective","authors":"Sandy Kosasi, Chandra Lukita, Mochamad Heru Riza Chakim, Adam Faturahman, Dhiyah Ayu Rini Kusumawardhani","doi":"10.34306/att.v5i3.354","DOIUrl":"https://doi.org/10.34306/att.v5i3.354","url":null,"abstract":"The rapid development of digital technology and artificial intelligence (AI) has brought significant changes in many areas of life, including business, healthcare, education, and entertainment. The great potential of AI technologies to provide positive benefits to society is balanced with concerns about their negative impact on quality of life. This study aims to explore the influence of digital AI technology on the overall quality of life around the world, focusing on the Performance Expectancy, Effort Expectancy, and Use Behavior aspects of digital AI technology. This research method utilizes the UTAUT (Unified Theory of Acceptance and Use of Technology) approach and collects data quantitatively through a questionnaire covering 3 variables related to digital AI technology and its influence on quality of life. Data analysis was conducted using PLS-SEM (Partial Least Squares - Structural Equation Modeling) to identify important aspects related to the advantages and disadvantages of AI technology. The results from the 70 respondents indicated that digital AI technologies have the potential to improve quality of life by meeting performance expectations and providing ease of use, and a balanced approach is needed in the development and implementation of AI technologies to maximize their positive impact while minimizing their negative impact.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139315413","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}
Ignatius Agus Supriyono, Irwan Sembiring, Adi Setiawan, Iwan Setyawan, Theophilus Wellem, Henderi, Ilham Hizbuloh
{"title":"Implementation of Wireless User Authentication using WLC-Forti Framework","authors":"Ignatius Agus Supriyono, Irwan Sembiring, Adi Setiawan, Iwan Setyawan, Theophilus Wellem, Henderi, Ilham Hizbuloh","doi":"10.34306/att.v5i2sp.346","DOIUrl":"https://doi.org/10.34306/att.v5i2sp.346","url":null,"abstract":"Internet access at this time is a daily necessity that cannot be denied. It is certain that most institutions and business entities require internet access in carrying out their activities, including educational institutions. With the development of mobile computer technology in which more users use mobile devices to access the internet, wireless-based network infrastructure is a demand that cannot be postponed any longer. By using a wireless connection to connect to the network, authentication becomes something that must be considered, the use of access to the network by unwanted parties can harm other parties. Changing passwords regularly is important to avoid misuse of access to the network by other parties. This paper presents a problem where when an educational institution implements the Bring Your Own Device (BYOD) program, students and teachers cannot change passwords using the personal device used, this is because the personal device is not registered with the domain controller at the institution. The solution proposed in this article is to move the NPS RADIUS server function on the local site to LDAP in the cloud using a combination of WLC which handles Wi-Fi clients and Fortinet which handles authentication to the cloud. The implementation results show that the WLC-Forti framework functions well.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139342149","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}
{"title":"Data Driven Analysis of Borobudur Ticket Sentiment Using Naïve Bayes.","authors":"Dedi Kundana, Chairani","doi":"10.34306/att.v5i2sp.353","DOIUrl":"https://doi.org/10.34306/att.v5i2sp.353","url":null,"abstract":" The recent growth of social media is hugely influential and plays a significant role in various aspects of people's lives in the digital era. Twitter is a social media network that is widely used in Indonesia. Twitter users can engage in multiple activities, such as communicating with individuals and groups, writing daily activities, promoting businesses, arguing, and expressing ideas about a topic of discussion. At the beginning of June 2022, raising the entrance charge for Borobudur Temple became one of the concerns that caused a lot of conversation in the real world and on other social media platforms, including Twitter. The plan to increase the price of entrance tickets to Borobudur Temple has drawn various pro and con reactions in the community. This study analyzes public sentiment toward the planned increase in ticket prices for Borobudur Temple. Sentiment analysis of Twitter data can be implemented using a classification algorithm. The classification algorithms widely used in sentiment analysis research are Nave Bayes (NB) and Decision Tree (DT). The reason for choosing Nave Bayes and Decision Tree is because this algorithm is the most popular algorithm used to process text data classification; the process is simple, efficient, and performs well. This study's dataset source was taken from social media sites like Twitter. In comparison to the Decision Tree, which generates a test percentage of 100%, the accuracy of the Naive Bayes approach, based on the evaluation of the test results, produces the highest accuracy number. At the same time, the Decision Tree method's accuracy test yields a test accuracy value of 35.97%.","PeriodicalId":143921,"journal":{"name":"Aptisi Transactions on Technopreneurship (ATT)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131037421","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}
{"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":"87 1","pages":"0"},"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}
{"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":"90 1","pages":"0"},"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
{"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":"1 1","pages":"0"},"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}
Mochamad Heru, Riza Chakim, Mulyati, P. A. Sunarya, Vertika Agarwal, Ihsan Nuril Hikam
{"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":"132 1","pages":"0"},"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}
Marviola Hardini, Mochamad Heru Riza Chakim, Lena Magdalena, Hiroshi Kenta, Ageng Setiani Rafika, Dwi Julianingsih
{"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":"1 1","pages":"0"},"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}