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Aptisi Transactions on Technopreneurship (ATT)
Published by Asosiasi Perguruan Tinggi Swasta Indonesia
ISSN : 26558807     EISSN : 26568888     DOI : https://doi.org/10.34306
Core Subject : Economy, Humanities, Science, Education, Social,
Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences
APTISI Transactions on Technopreneurship (ATT) is an international triannual open access scientific journal published by  Pandawan Sejahtera Indonesia. ATT publishes original scientific researchers from scholars and experts around the world with novelty based on the theoretical, experimental, and numerical framework. The Journal aims to make noteworthy contributions to knowledge across the globe through the publication of original, high-quality research articles in the area of entrepreneurship and the impact of emerging technologies on it. In addition to original research articles, APTISI Transactions on Technopreneurship (ATT) publishes reviews, mini-reviews, case reports, letters to the editor, and commentaries, thereby providing a platform for reports and discussions on cutting edge perspectives in the domain of entrepreneurship. All submitted papers will undergo the strict single-blind peer-reviewing process. The Journal is dedicated to publishing manuscripts via a rapid, impartial, and rigorous review process. Once accepted, manuscripts are approved free online open-access instantly upon publication, allowing users to read, download, copy, distribute, print, search, or link to the full texts, thus providing access to a broad readership.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Sistem Informasi Menejemen
Articles 275 Documents
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The Effectiveness of Public Services in Realizing Good Governance Ida Bagus Made Putra Dharmika; I Nyoman Subanda
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 1Sp (2023): Special Issue: Technopreneurship Driving Change in the Nation's Future Leadersh
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i1Sp.327

Abstract

Public service is one of the strategic issues in Indonesia because it involves basic needs that must be obtained by society and in its implementation there is interaction between public service providers and the society. Public service can be the benchmark for the success of the performance of the governments, and good governance can be implemented. This research aims to observe and provide solutions in the implementation of public service on Investment and Integrated One Stop Service of (IIOSS) Bali Province to realize good governance. Qualitative descriptive research methods with inductive approaches are used. The data was obtained through interviews, the data was then processed using triangulation methods such as  data reduction, data presentation then drawn conclusions. Based on the research results, The quantity and quality of output of IIOSS Bali Province met the 2022 Indonesian Public Service Standards, IIOSS Bali Province  Using the online system saves time, simplifies the service process and provides more transparency of information flow  to public service recipient, IIOSS Bali Province able to adapt well in response to internal and external changes, by developing a website-based digital service called PRESTISE (Electronically Integrated Licensing), IIOSS Bali Province providing  training to the  employees the use of technology also  Community Satisfaction Survey with service recipients selected as respondents showing score of  93,680 (A-level Quality Service). In conclusion, the effectiveness of Public Services at the Bali Provincial Investment and One-Stop Services Office in realizing good governance has been going well and in line with good governance principles.
Examining the Impact of Artificial Intelligence and Internet of Things on Smart Tourism Destinations: A Comprehensive Study Aliyah; Chandra Lukita; Greian April Pangilinan; Mochamad Heru Riza Chakim; Dimas Bagus Saputra
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.332

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.
Predicting Patient Satisfaction Levels Using Artificial Intelligence Technology for Food Service at ERI Soedewo RSPAD Gatot Soebroto Suhermi; Rinto; Singgih; Sri Watini; Nova Ramadhona
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.334

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.
Image-based Air Quality Prediction using Convolutional Neural Networks and Machine Learning Marviola Hardini; Mochamad Heru Riza Chakim; Lena Magdalena; Hiroshi Kenta; Ageng Setiani Rafika; Dwi Julianingsih
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 1Sp (2023): Special Issue: Technopreneurship Driving Change in the Nation's Future Leadersh
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i1Sp.337

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.
Examining the Joint Effects of Air Quality, Socioeconomic Factors on Indonesian Health Ahmad Wijaya Kusuma; Yuwan Jumaryadi; Samidi; Richard; Anandha Fitriani
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.338

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.
Village Tourism Empowerment Against Innovation, Economy Creative, and Social Environmental Mochamad Heru Riza Chakim; Mulyati; Po Abas Sunarya; Vertika Agarwal; Ihsan Nuril Hikam
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.342

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.
Implications of Distributed Energy Development in Blockchain-Based Institutional Environment Karno Diantoro; Dedeh Supriyanti; Ardi; Yulia Putri Ayu Sanjaya; Sri Watini
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.343

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.
Implementation of Wireless User Authentication using WLC-Forti Framework Ignatius Agus Supriyono; Irwan Sembiring; Adi Setiawan; Iwan Setyawan; Theophilus Wellem; Henderi; Ilham Hizbuloh
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.346

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.
Analysis of Key Factors for Improved Customer Experience, Engagement, and Loyalty in the E-Commerce Industry in Indonesia Antonius Felix; Glisina Dwinoor Rembulan
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.350

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.
The Role of Information Technology in Empowering the Creative Economy for Sustainable Tourism Asep Sutarman; Untung Rahardja; Fitra Putri Oganda; Shofiyul Millah; Nadia Nur Azizah
Aptisi Transactions On Technopreneurship (ATT) Vol 5 No 2sp (2023): Special Issue: Support Technopreneurship in the Medical
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v5i2sp.352

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.

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