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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 30 Documents
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Search results for , issue "Vol 7 No 3 (2025): November" : 30 Documents clear
Reinforcing the Role of Cyber Village in Improving Indonesia MSMEs Through an Exploratory Study Anindita, Rina; Prastowo, Valentinus Hartadi; Parker, Jonathan
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.v7i3.401

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in Indonesia, especially those offering culturally unique products, face challenges in sustaining and growing their businesses. Digital marketing, particularly through social media, presents an opportunity to foster the development of these enterprises. However, the adoption of digital marketing by MSMEs in Kampoeng Cyber Jogja remains underexplored. This qualitative research aims to assess the extent of digital marketing adoption among MSMEs in Kampoeng Cyber Jogja and identify the factors that support or hinder its use. Data were collected through in-depth interviews with Kampoeng Cyber pioneers, MSME actors, the Head of RW09, and a digital marketing expert. The findings show that MSMEs in Kampoeng Cyber Jogja use social media for advertising, sharing product information, customer engagement, and selling products. Supporting factors include high-quality products and strong entrepreneurial motivation, while hindering factors include limited knowledge, slow adaptation to technology, resource constraints, and disorganized bookkeeping. This study suggests that MSMEs in Kampoeng Cyber Jogja need to set more explicit business goals to fully leverage digital marketing for scaling their businesses. Further research is needed to explore the long-term implications of digital marketing adoption and its impact on MSME sustainability and growth.
Exploring Academic Culture in Indonesian Christian Universities Using Hofstede VSM 2013 Karnawati, Karnawati; Yanto, Heri; Zulaeha, Ida; Mulyono, Sungkowo Edi
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.v7i3.616

Abstract

This study examines the academic culture in Christian universities in Indonesia through the Value Survey Model (VSM) 2013 Hofstede, analyzing its impact on innovation readiness and technopreneurial development. Using a quantitative approach, data were collected through surveys from faculty members and students across several Christian universities. The study employed Structural Equation Modeling (SEM) to analyze the relationships between Hofstede’s cultural dimensions, including power distance, individualism vs collectivism, masculinity vs femininity, uncertainty avoidance, long-term vs short-term orientation, and indulgence vs restraint. Findings indicate that Christian universities in Indonesia exhibit a collectivist academic culture with high uncertainty avoidance and significant power distance, which influence institutional innovation potential. While long-term orientation and masculinity moderately affect academic behavior, constraints in academic freedom and risk-taking hinder the adoption of digital and entrepreneurial initiatives. This study highlights the role of academic culture in shaping innovation readiness and provides strategic recommendations for fostering a more adaptable and competitive academic environment aligned with global technopreneurship trends.
Tawhidi String Relationship (TSR) Approach to Entrepreneurial Growth in Waqf Linked Sukuk Nasution, Lokot Zein; Siregar, Hermanto; Ismal, Rifki; Mariyanti, Tatik
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.v7i3.638

Abstract

This paper is motivated by the still weak bargaining position of Islamic finance in the development policy constellation. In fact, Islamic finance has a variety of advantages compared to conventional, and has a variety of instruments that can be developed. One of the innovations in the development of Islamic financial instruments is the combination of sukuk and waqf or called sukuk linked waqf. The development of waqf-linked sukuk is one of the innovations and a manifestation of the importance of formulating objectives derived from religious and divine values or known as the Tawhidi String Relation (TSR). The TSR approach emphasizes the truth that comes from God, while at the same time emphasizing the importance of trying to achieve the benefit of the world. The principle of TSR is the oneness of Allah SWT which is known as Tawhid which acts as the main method for the development of Islamic finance. The oneness of Allah SWT is represented in the Al-Qur'an which is then juxtaposed with As-Sunnah. Based on the TSR approach, this paper suggests that there are many arguments or basic arguments for the importance of returning the financial sector back to the sharia economy which originates from the Al-Qur'an and As-Sunnah. This weak correlation causes the innovation results in the ecosystem for the development of waqf-linked sukuk to be weak. Therefore, it is necessary to strengthen the Islamic financial conclusion which must truly base its ecosystem on the basis of the Al-Qur'an and As-Sunnah as the foundation for the development of sukuk linked waqf.
Driving Shareholder Value through Technopreneurship Innovation Sunaryo, Deni; Lestari, Etty Puji; Puryandani, Siti; Hersugondo, Hersugondo
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.v7i3.642

Abstract

The Food and Beverage (F&B) industry in Southeast Asia faces challenges such as raw material price volatility, high debt burden, and changes in consumer preferences, so companies need to manage their financial performance well through financial ratio analysis and product innovation to remain competitive amidst the instability of the ASEAN market and policies. This study analyzes the effect of Return on Assets/ROA, Cash Ratio/CR, Debt to Asset Ratio/DAR, Asset Turnover/ATO, and Price Earnings Ratio/PER on managerial ownership and their impact on stock returns. We assess how product development costs and financial distress moderate the relationship. The objects of the study were F&B sector companies in Southeast Asia listed on the stock exchange, data period 2012 to 2023. The method used was panel data regression. The results showed that ROA and CR positively and significantly affected managerial ownership. Conversely, DAR and PER did not show a significant effect. Moderation of product development costs weakened the impact of ROA on managerial ownership, while financial distress weakened the relationship between DAR and managerial ownership. This study suggests the importance of efficient management of assets, cash, and liabilities and the need for strategic product innovation to maintain and increase managerial ownership. Combining various financial ratios with managerial ownership and their effects on stock returns offers a more comprehensive perspective than previous studies.
Driving Socialpreneurship and Diving into Digital Transformation to Enhance Donation Intentions in Indonesia Sendjaja, Theodorus; Rachbini, Didik J.; Astini, Rina; Asih, Daru
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.v7i3.678

Abstract

This study investigates how digital transformation within the Catholic Church in Indonesia can enhance digital donation intentions by analyzing the influence of trust, Perceived Ease of Use, Perceived Usefulness, perceived risk, and perceived security on attitudes and engagement toward technology acceptance. Employing a quantitative design with an explanatory and cross-sectional approach, data were gathered from 100 respondents across 10 archdioceses in Indonesia using stratified random sampling. The analysis was carried out using Partial Least Squares Structural Equation Modeling (PLS-SEM) to examine the relationships between the variables. The findings reveal significant effects of Perceived Usefulness, Perceived Ease of Use, perceived risk, attitude, and engagement on digital donation intention. These results offer practical insights into improving donation practices and accelerating digital transformation within the Catholic Church in Indonesia. This study further proposes a novel conceptual framework that integrates trust, Perceived Ease of Use, Perceived Usefulness, perceived risk, and perceived security to explain attitudes and engagement in digital donations. This model expands the Technology Acceptance Model (TAM) by incorporating additional factors relevant to donation behavior. Moreover, the study addresses a gap in the literature by highlighting the decline in QRIS adoption following the COVID-19 pandemic-an issue rarely discussed in prior donation studies. Digital donations in this context are also positioned as part of a broader social entrepreneurship movement that leverages technology to foster community involvement and ensure the financial sustainability of religious institutions.
Analyzing Healthpreneur Determinants for Low-Socioeconomic Ethnic Families Jayanagara, Oscar; Patricia, Anastasia
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.v7i3.679

Abstract

Access to health services is a critical factor in improving the well-being of low-socioeconomic status families. However, many families in Surakarta face challenges in utilizing healthcare services. The purpose of this study is to explore the relationship between educational level, family economic status, and other demographic factors with their willingness to access health services at RSUD Dr. Moewardi, Surakarta. The purpose of this study is to determine how education, economic status, and demographics influence healthcare-seeking behavior among low-socioeconomic families, with the goal of improving healthcare accessibility and understanding barriers to usage. A quantitative approach was employed, using a Confirmatory Factor Analysis (CFA) model. Data were collected through a structured questionnaire distributed to 116 respondents from low-socioeconomic families in Surakarta, with a focus on education, income, and healthcare-seeking behavior. The data were analyzed using SPSS to identify relationships between variables. The analysis showed significant differences in healthcare access behavior based on educational level, with families possessing higher education levels being more likely to utilize healthcare services. Economic factors were also identified as a strong predictor of healthcare access willingness. The study highlights the importance of addressing educational and economic barriers to improve access to health services for low-socioeconomic families. Policymakers must consider these factors when developing healthcare programs aimed at increasing participation from marginalized groups.
The Role of Career Path and Achievement Motivation in Organizational Sustainability from an Entrepreneurship Perspective Gustiah, Indira Puspa; Siswanti, Indra; Kasmir, Kasmir; Nawangsari, Lenny Christina
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.v7i3.687

Abstract

This study examines the effect of career path and achievement motivation on organizational sustainability, mediated by innovative work behavior and moderated by perceived organizational support. Participants were all indirect employees of an international manufacturing group in Japan, Australia, and Indonesia totaling 4462 employees, of whom 256 were selected. Data were collected using research instruments distributed to all employees in three languages using a back-translation system. Simple mediation and moderation regression analysis techniques using structural equation modeling with Partial Least Squares 3.0 program were used. The results indicate that CP, AM, and IWB have positive and significant effects on OS. IWB mediation had a positive and significant effect on the mediation of CP and AM on OS. The moderating effect of POS on IWB had a positive and significant effect on OS. The significance of moderation is clarified based on the slope analysis, in which the greater the POS toward IWB, the stronger the support for OS. The study is novel in its use of POS as a moderating variable. This study enriches the theoretical and practical implications of managing employees CP and AM toward OS.
Optimizing Automated Machine Learning for Ensemble Performance and Overfitting Mitigation Migunani, Migunani; Setiawan, Adi; Sembiring, Irwan
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.v7i3.763

Abstract

Automated Machine Learning (AutoML) has revolutionized model development, but its impact on ensemble diversity and overfitting reduction remains underexplored. This Systematic Literature Review (SLR) analyzes 107 studies published between 2020 and 2024 to explore how AutoML enhances ensemble diversity, mitigates overfitting, and the challenges hindering its integration. Unlike previous reviews focusing on AutoML or ensemble methods independently, this study synthesizes their intersection and identifies key research trends. The findings reveal that AutoML improves ensemble robustness through automated hyperparameter tuning, meta-learning, and algorithmic blending while facing trade-offs in computational cost and interpretability. Four main themes emerge, integration mechanisms (19.6%), overfitting mitigation (26.2%), performance trade-offs (28.6%), and integration barriers (26.2%). Empirical results indicate that AutoML ensembles outperform traditional models by 22–41% in accuracy but require approximately 3.2 times higher computational resources. Hybrid AutoML and Explainable AI frameworks are recommended to balance accuracy and transparency. Theoretically, this study advances understanding of the synergy between AutoML and ensemble learning, while practically providing guidance for deploying reliable AI systems in sectors like healthcare, finance, and digital business. Policy implications align with the EU AI Act and the US Executive Order on trustworthy AI, supporting Sustainable Development Goals 9 and 8.
Technopreneurial Filtering Technique for Speckle Noise Reduction in Ultrasound Imaging of Polycystic Ovary Syndrome Pandey, Pratibha; Chaudhary, Sumit; Nie, Xin
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.v7i3.767

Abstract

Polycystic Ovary Syndrome (PCOS) is a common endocrine disorder in women that is frequently diagnosed by ultrasound imaging by examining ovarian abnormality. Ultrasound images, though, are normally contaminated with speckle noise that degrades image quality and poses difficulties for diagnosis. Conventional denoising methods like mean and median filtering are unable to eliminate noise properly while maintaining fine details. To solve this problem, this paper introduces a new Attention-based Autoencoder (AAE) for denoising PCOS ultrasound images. The model uses an attention mechanism to selectively amplify significant image areas and suppress noise, enhancing image quality for diagnosis. The introduced method was tested on a publicly available ultrasound dataset with synthetic speckle noise at various levels (variance 0.5, 0.02, and 0.001). Experimental results prove that the suggested method performs better than conventional denoising methods, with peak signal-to-noise ratio (PSNR) values of 31.33, 34.25, and 36.23, respectively. The structural similarity index measure (SSIM) also reveals notable improvements and corresponding scores of 85.21, 92.33, and 99.25. Beyond technical performance, this work supports the development of scalable, AI-driven PCOS diagnostic tools within a technopreneurship incubator model. These results indicate that AAEs can improve ultrasound image quality, facilitating more accurate PCOS diagnosis.
Deep Learning Technique for Interpretable Diagnosis of Polycystic Ovary Syndrome in Ultrasound Imaging Pandey, Pratibha; Chaudhary, Sumit; Nie, Xin
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.v7i3.768

Abstract

Polycystic Ovary Syndrome (PCOS) is a widespread condition in women that is associated with hormonal disorders, absentee or infrequent menstruation, and cyst formation on ovaries. The diagnostic process of PCOS is still difficult because of ambiguity in ultrasound images. Earlier approaches emphasize the detection and classification of follicles for ultrasound images and disregard interpretability, which obscures understanding the model’s decisions and trustworthiness in critical medical applications. This research proposes a method of diagnosing PCOS in two stages. Initially, follicles are located with a YOLOv8 model that has multiscale feature dose attention. Follicles are subsequently classified with a ResNet50 model that has SE blocks. The last step is for Grad-CAM to show which features of the image were used by the classification model in order to explain its decision and provide meaningful insights regarding the model's predictions. Evaluation was performed on two publicly available datasets. The proposed method outperforms all other methods in follicle detection with 92% mean average precision (mAP) and classification accuracies of 98.25% and 94.56% on datasets 1 and 2, respectively. This result makes the proposed model a reliable and transparent technique for robust clinical applications. By providing a scalable, deployable, and interpretable diagnostic pipeline that can be integrated into AI-based health-tech platforms, the suggested method also fits with the objectives of technopreneurship incubator models.

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