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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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Tax Digitalization and Justice with Taxpayer Compliance and the Mediating Role of Tax Awareness Supriyati, Supriyati; Oktarina, Dian; Rokhmania, Nur'aini; Prananjaya, Kadek Pranetha
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.512

Abstract

This study investigates the impact of tax information digitalization and tax fairness on taxpayer compliance, with tax awareness as a mediating variable. Taxpayer compliance is critical for government financial performance, yet tax revenues in Indonesia remain below target. Despite government efforts to improve tax compliance through reforms, internal and external taxpayer factors still significantly influence compliance behavior. The study focuses on the need for policy improvements to address these issues. While prior studies have analyzed tax compliance, few have examined the interplay between tax digitalization, fairness, and awareness in Indonesia. This research makes a unique contribution by investigating these variables in Surabaya, an industrial hub, offering a localized yet impactful perspective on tax compliance in a dynamic economic region. Using a survey of 200 taxpayers in Surabaya and discussions through a Focus Group Discussion with 15 participants, this research aims to provide insights into the effectiveness of government tax reform policies. The results indicate that digitalization of tax information, fairness, and awareness positively impact taxpayer compliance. Tax awareness strengthens the relationship between digitalization and compliance, but it does not mediate the effect of tax fairness on compliance. The findings suggest that continued efforts to enhance tax information systems and address fairness perceptions are essential for improving compliance.
Development of Technopreneurship-Based E-Modules for Ethnochemistry, Redox, and Science Literacy Yanti, Febri; Simangunsong, Anita Debora; Sitinjak, Erni Kusrini; Pane, Eva Pratiwi; Septiani, Nanda Teodora
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.517

Abstract

This research is very important to improve the quality of student learning, which is supported by good knowledge and a teaching process. It uses various sources and teaching materials presented interestingly so that students get various experiences in the field of chemistry as expected. By developing an Emodule based on ethnochemistry (culture related to chemistry), this study bridges the gap in existing teaching materials that lack cultural integration, which often hinders students engagement and scientific literacy development. The novelty of this research lies in the integration of local cultural practices, such as Batak culture, into redox chemistry learning, creating an innovative approach to enhance students scientific literacy. The method used in this study is a qualitative and quantitative approach, specifically employing a 4D model (define, design, development, dissemination) to develop and validate the module. The results show that the ethnochemistry based module teaching materials on redox material are the characteristics of effective modules, achieving validation scores of 3.45 from media experts and 3.37 from material experts, categorized as "very appropriate". Additionally, student responses to the E-Module were very positive, with an average score of 3.70, indicating its effectiveness in enhancing students understanding and engagement.
Enhancing Entrepreneurial Skills and Pancasila Student Profiles through Digital Learning Tools in Science Education Juanta, Palma; Festiyed, Festiyed; Diliarosta, Skunda; Lufri, Lufri; Yohandri, Yohandri; Moyo, Kgomotso
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.518

Abstract

This research examines the effect of project-based learning (PjBL) assisted by ethnoscience animation videos on students problem-solving skills and their Pancasila character profile in science education. The study employed a quasi-experimental design to evaluate the impact of independent variables (PjBL and animated videos) on dependent variables (problem-solving skills and character development). The research objectives were to assess the effectiveness of the PjBL model in improving problem-solving skills and to determine its role in developing Pancasila character dimensions in students. The study involved students from classes VII-1 and VII-6 at Dr. Wahidin Sudirohusodo Middle School as the sample. Data collection included test instruments to measure problem-solving abilities and non-test instruments for assessing character dimensions of the Pancasila student profile. Results showed significant differences in the average scores of problem-solving skills between the experimental and control classes, with a significance value (2-tailed) of 0.00 < 0.05. Similarly, for the Pancasila student profile dimensions, the significance value was also 0.00 < 0.05, indicating a significant improvement in the experimental group. These findings confirm that the PjBL model assisted by ethnoscience animation videos is valid, practical, and effective for improving both problem-solving skills and character development. In conclusion, integrating PjBL with ethnoscience animation videos addresses the challenges in science education by aligning with skill-based and culturally relevant learning approaches. The model supports students cognitive and character development, making it suitable for application in the Society 5.0 era.
Macroeconomic and Price of Oil and Gold on Liabilities of Hajj Fund Management Agency Sulistyowati, Lilies; Hamzah, Muhammad Zilal; Ratnawati, Nirdukita
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.533

Abstract

This study examines the influence of macroeconomic variables on the sustainability of hajj funds managed by the Indonesian Hajj Financial Management Agency (BPKH). Using monthly data from 2019-2023, the research employed multiple linear regression analysis followed by dynamic systems modeling to assess fund sustainability. The regression results show that GDP growth and exchange rates positively influence hajj fund assets (p<0.05), while BI-7 Day Reverse Repo Rate, inflation, and Jakarta Islamic Index negatively affect fund assets. Dynamic system simulations reveal that under current conditions (ROI 6.78%, subsidy portion 40%), hajj funds will face deficit by 2030. However, optimistic scenarios with increased ROI to 10% and reduced subsidy portions to 20% ensure fund sustainability until 2050, with assets reaching IDR 569 trillion. These findings suggest that BPKH should enhance investment portfolio returns while the government should reconsider subsidy allocation policies to ensure long-term sustainability of hajj fund management in Indonesia.
Leveraging A Hybrid Machine Learning Model for Enhanced Cyberbullying Detection Syafariani, Fenny; Lola, Muhamad Safiih; Mutalib, Sharifah Sakinah Syed Abd; Nasir, Wan Nuraini Fahana Wan; Hamid, Abdul Aziz K. Abdul; Zainuddin, Nurul Hila
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.536

Abstract

Cyberbullying is a form of bullying that occurs through digital technology on various social media platforms. This issue has become critical, particularly when it involves racial statements that can threaten community harmony. Many researchers worldwide are working on solutions for automatic hate speech and cyberaggression detection using different machine learning models. This study aims to introduce a novel hybrid method for detecting cyberbullying, utilizing a combination of Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA), collectively referred to as SVM-LDA. The methodology involves integrating SVM and LDA techniques. The models efficiency was assessed using various metrics, offering a comparative analysis of the hybrid model against individual machine learning models. The results show that the proposed hybrid model achieved 96.1% accuracy and outperformed single machine learning models on the Twitter dataset. The hybrid model also demonstrated robustness in handling imbalanced classes for cyberbullying detection. The proposed SVM-LDA hybrid approach shows significant potential in effectively detecting cyberbullying, even in cases of class imbalance. This model offers a more robust solution compared to traditional single machine learning models in detecting cyberaggression.
Entrepreneurship Capability by Triple Series Innovations in Building Competitive Resilience within the Airline Industry Sukardi, Samudra; Wahyuni, Sari; Rachmawati, Riani
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 3 (2025): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i3.537

Abstract

This research examines how entrepreneurship capability affects competitive resilience within the airline business, focusing on innovation sequences along the value chain as a solution to environmental turbulence. The study aims to investigate the mechanism through which entrepreneurship capability contributes to resilience by mediating organizational, digital, and business model innovations. The study involved 250 CEOs and top leaders in Indonesian airlines. Data were collected via surveys and analyzed using SPSS 25 and Smart Partial Least Squares (SmartPLS) 4. Findings show that entrepreneurship capability does not directly affect digital collaboration or business model innovation. Its effect occurs indirectly through organizational innovation, which promotes digital distribution innovation, leading to business model innovation. Together, these innovations strengthen resilience in turbulent environments. The study highlights the critical role of the triple serial relationship among organizational innovation, digital distribution, and business model innovation in navigating crises such as the COVID-19 pandemic. Practically, airline leaders should use entrepreneurship capability to drive innovation, support digital transformation, and adopt customer focused strategies to sustain competitiveness. This research contributes original insight by revealing how entrepreneurship capability indirectly fosters resilience through innovation sequences, aiding airlines in adapting to market changes. The study aligns with SDGs 8 (Decent Work and Economic Growth) by promoting entrepreneurship led growth and SDGs 9 (Industry, Innovation, and Infrastructure) through advancing innovative and resilient business practices.
Innovative Learning Strategies by Embedding Design Thinking-based Project Learning in Textbooks for Edupreneurial Impact Yunita, Sri; Gandamana, Apiek; Lubis, Wildansyah; Rachman, Fazli; Bali, Sandrotua
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.539

Abstract

The research aims to develop a textbook that integrates design thinking to optimize project-based learning. The article presents the results of integration feasibility and effectiveness tests design thinking to optimize the project-based learning process. The research aims to provide a textbook that supports project-based learning design thinking to fulfill the content, process, and means of learning. R&D was carried out by adopting the Thiagarajan Four-D model for the MKWK for Citizenship Education at Universitas Negeri Medan. Data was collected by observation, document study, literature study, questionnaires, and tests. Development results in textbook-based design thinking to optimize project-based learning is declared feasible. This conclusion was confirmed after validating linguistic, media, and material aspects, and was declared valid because the V index value (V ≥ 0.61). Textbook-based design thinking is considered practical by lecturers and students, the V index value is greater (V ≥ 0.61). Implementation of textbook-based design thinking, which has been developed, affects student learning outcomes based on the paired t-test producing a significance value of p = 0.000 (sig. 0.000 < 0.05). This significance value confirms the significant positive (meaningful) influence textbooks on student learning outcomes after intervention or treatment and does not happen by chance.
Analysis of Coffee Quality and Value Chain Collaboration for a Sustainable Agro-Industry in Timor-Leste Belo, Cecilio Alves da Costa; Henriques, Pedro Damiao de Sousa; Carvalho, Maria Leonor da Silva
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 3 (2025): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i3.543

Abstract

This study investigates the coordination of coffee quality within the agro-commercial chain in Timor-Leste by analyzing the interaction between producers and companies engaged in production and commercialization. Coffee, as the country’s most important agricultural export and a key contributor to the non-oil economy, is internationally recognized as an organic product, with the Timor Hybrid (HDT) gaining global attention. Data were collected through documentary analysis and questionnaire surveys from 111 smallholder producers and 6 companies in Ermera Municipality, particularly in Leteffoho Administrative Post, the region with the largest plantation area and highest dependence on coffee as a source of income. The findings reveal that producers mainly cultivate Arabica and Robusta, with quality control focusing on cherry harvesting and processing, while companies predominantly purchase parchment coffee and determine prices based on quality, with only one company buying cherry coffee. All companies export green coffee, and four also sell roasted coffee in the domestic market. This study further proposes a framework that emphasizes coordination mechanisms between producers and companies to enhance quality assurance, sustain competitiveness in international markets, and strengthen the resilience of Timor-Leste’s agricultural economy.
Technological Advancements in Perceived Organizational Support Enhancing Healthcare Systems Towards Sustainable Development Goals Gathmyr, Dewi; Suhud, Usep; Herlitah, Herlitah; Hamidah, Hamidah; Safariningsih, Ratna Tri Hari; Wilson, Joseph
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.547

Abstract

Hospitals play a vital role in the healthcare system, with organizational support significantly influencing healthcare workers well-being and performance. This study explores the antecedents and consequences of Perceived Organizational Support (POS) in hospitals and highlights the role of technological advancements in enhancing POS. A Systematic Literature Review (SLR) was conducted to synthesize findings from recent studies on POS, focusing on key factors influencing its development and outcomes. The antecedents of POS include leadership, work conditions, and organizational policies prioritizing fairness and employee engagement. Leadership styles and supportive work environments foster trust and emotional security. The consequences of POS include improved performance, job satisfaction, and resilience, as well as reduced burnout, PTSD, and turnover intention. POS also promotes organizational citizenship behavior and work engagement. Technological advancements, such as AI and telemedicine, enhance POS by streamlining operations and improving communication. This study underscores POS critical role in achieving Sustainable Development Goals (SDGs), particularly SDGs 3 (health and well-being) and SDGs 8 (decent work and economic growth). The findings provide valuable insights for healthcare leaders and policymakers to strengthen organizational support systems, ensuring workforce sustainability and improved healthcare outcomes.
AI-Driven Personalized Movie Recommendations: A Content and Sentiment-Aware Model for Streaming and Digital Entrepreneurship Shelake, Vijay; Fernandes, Scott; Shrungare, Sarthak
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 2 (2025): July
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i2.550

Abstract

In an era marked by the digital consumption of media, the landscape of movie recommendation is undergoing a profound transformation. Traditional recommendation methods, which rely on collaborative filtering and user reviews, are being supplanted by more sophisticated content-based approaches. The evolution of Artificial Intelligence (AI) has given rise to a new generation of recommendation systems, characterized by their ability to process and analyze vast amounts of content metadata to provide tailored suggestions. This research presents an AI-driven personalized movie recommendation model for streaming and digital entrepreneurship, leveraging data analytics and Natural Language Processing (NLP) techniques to enhance user experience. The model integrates sentiment analysis and cosine similarity to recommend similar movies, offering personalized recommendations across multiple streaming platforms, thus improving user satisfaction, engagement, and content discovery. By utilizing AI-driven algorithms, this model contributes to digital entrepreneurship by enhancing content personalization and improving user retention in the competitive streaming industry.

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