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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 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.
Healthy Spending Habits as Drivers of Technopreneurial and Financial Outcomes Zainol, Zuraidah; Abdul Wahab, Nadratun Nafisah; Shokory, Suzyanty Mohd; Harianto, Prayudi
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.v7i3.485

Abstract

Healthy spending of the population has been raised as one of the measures to restore social harmony and economic stability. Nevertheless, limited attention has been given to understanding how different forms of spending, rather than saving alone, influence people’s financial conditions and family well-being. This study aims to examine how various spending behaviors including experiential, impulsive, self-expressive, prosocial, and conspicuous spending affect financial well-being and, in turn, marital satisfaction among married individuals in Malaysia. Using a quantitative and deductive research design, data were gathered from 400 married respondents through a structured self-administered questionnaire. The analysis was conducted using Covariance-Based Structural Equation Modeling (CB-SEM) with the aid of AMOS software to validate the hypothesized relationships. The results show that prosocial and conspicuous spending have a significant positive impact on financial well-being, while impulsive spending demonstrates a negative influence. Moreover, financial well-being plays a crucial mediating role, exerting a significant positive effect on marital satisfaction. To enhance both financial stability and relationship satisfaction, individuals should cultivate mindful and responsible spending habits. The findings offer new perspectives for policymakers, businesses, and educators in fostering family harmony and economic empowerment through balanced spending and financial awareness.
Entrepreneurial Technology Resilience Mediates Entrepreneurial Marketing on Business Performance in Batik MSMEs Wahdiniwaty, Rahma; Pranata, Sudadi; Komara, Nandang
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.v7i3.469

Abstract

In the digital transformation era, technological resilience has become essential for Micro, Small, and Medium Enterprises (MSMEs), including Indonesia’s Batik industry, which must integrate technology to maintain competitiveness. However, many Batik MSMEs still face limited adoption of digital tools, resulting in declining performance and market reach. This study aims to analyze how entrepreneurial technology resilience mediates the relationship between entrepreneurial marketing and business performance in Batik MSMEs. A quantitative approach was used by distributing structured questionnaires to 383 Batik MSME owners in Indonesia. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate measurement validity and test hypotheses among three constructs, entrepreneurial marketing, entrepreneurial technology resilience, and business performance. Findings reveal that entrepreneurial marketing significantly influences both entrepreneurial technology resilience and business performance. Furthermore, entrepreneurial technology resilience also positively affects business performance and partially mediates the relationship between entrepreneurial marketing and business performance, explaining 80.2% of the variance in the model. The results confirm that technological resilience is a crucial mechanism that strengthens the effectiveness of entrepreneurial marketing strategies. Strengthening digital capabilities and adaptive innovation allows Batik MSMEs to enhance operational efficiency, market expansion, and overall performance. Therefore, improving technological resilience should be prioritized as a strategic policy for sustaining the Batik industry’s competitiveness.
Assessing the Drivers of Financial Distress in Indonesian Rattan SMEs through Digital and Financial Perspectives Sudaryo, Yoyo; Hamdani, Deni; Sofiati, Nunung Ayu; Sipahutar, Dayan Hakim Natigor; Sutisna, Sutisna
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.v7i3.534

Abstract

This study's objectives are to ascertain the impact of variables that determine financial distress among Small and Medium-sized Enterprises (SMEs) during the COVID-19 pandemic and post-pandemic period, including the perception of SMS offenders, knowledge of digital marketing, and growth in net profits, as well as to offer solutions to the issues that SMEs face. In Cirebon a descriptive and verifying strategy is taken in the employment of quantitative methodologies in the research. Primary data were used. Gathering information from fieldwork and library research based on surveys distributed and previously published works on SMS's Rattan crimes registered with Cirebon's Micro & Medium Enterprises Cooperation Service. Verification statistics analysis procedures include the use of hypothetical testing with partial and simultaneous tests (f and t-test) as well as data analysis testing using double linear regression. One hundred respondents from SME victim Rattan Cirebon provided the sample data. IBM SPSS version 21.0 is the analytical program that was utilized to process the data. According to some of the research findings, financial distress is greatly impacted by the impression of SME offenders, is unaffected by knowledge of digital marketing, and is greatly impacted by an increase in net profit. Simultaneous research findings reveal that the perspective of SME offenders, comprehension of digital marketing, and growth in net profit have a noteworthy impact on financial Distress.
Enhancing Zakat Learning Outcomes Using Augmented Reality and Virtual Reality Technologies Choiri, Muttaqin; Setiawan, Firman; Shofiyuddin, Ahmad
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.v7i3.604

Abstract

This research aims to develop a learning module for Zakat material based on AR technology combined with VR to improve student learning outcomes in alignment with the Independent Learning Independent Curriculum. The research method uses the Research and Development (RnD) approach, consisting of five stages: Analysis, Design, Development, Implementation, and Evaluation (ADDIE). The developed product was validated by material experts and media experts, receiving scores of 90.8% and 90.5%, respectively, and tested on students from four higher education institutions in East Java: University of Trunojoyo Madura, Nahdlatul Ulama Sunan Giri University, Nahdlatul Ulama Surabaya University, and Al-Khozini Sidoarjo Islamic Religious Institute. The first trial was conducted in a small class and produced an average score of 85.4%, followed by a large-class trial with an average score of 83.3%. In comparison, previous test results using a conventional module produced an average score of 72, which increased to an average of 86 when students used the Zakat module based on augmented reality combined with virtual reality. Thus, the results show that the AR and VR technology-based module for Zakat material has a positive impact on student learning outcomes in higher education institutions.
Entrepreneurial Perspective on Customer Decisions to Watch Indonesian Movies Djamaly, Muhammad Fadheel; Djumarno, Djumarno; 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.v7i3.681

Abstract

Customer Engagement reflects the extent of interaction between audiences and film products, serving as a key element within the movie industry. Various determinants such as lead actors, movie genres, movie ratings, and online reviews affect viewers intentions to watch films in theaters. This research investigates how customer engagement mediates the influence of these determinants on the intention to watch Indonesian films in cinemas. A quantitative research design was adopted, involving a survey of 315 respondents. The data were processed using the Structural Equation Modeling (SEM) technique with the SmartPLS program to assess the relationships among variables. The results indicate that lead actors, film genres, movie ratings, and online reviews significantly enhanced customer engagement. Customer engagement positively and significantly affected individuals decisions to watch Indonesian movies. It was also found to significantly mediate the effect of these variables on the decisions to wacth movies. This research contributes to relationship marketing theory by emphasizing the importance of customer engagement in developing strong and loyal consumer relationships. Additionally, it enriches consumer behavior literature by explaining the effect of customer engagement on the decisions to watch movies, offering practical implications for film marketers in formulating effective promotional and audience engagement strategies.
Mapping Designpreneur Paradigm for Sustainability Housing of Ministerial in Nusantara Capital City (IKN) Purnama, Ika Yuni; Phetorant, DJ. Dimas; Mestika, Gelar Gelora; Sunarjo, Richard Andre; Radhika, Raka Daniswara
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.v7i3.691

Abstract

Designpreneurs (a combination of design and entrepreneurs) have gained attention as an innovation paradigm that integrates design creativity with business value, playing a significant role in driving innovation and sustainable value creation. As the national creative economy and the IKN smart design agenda develop, it is important to evaluate research trends related to this concept. This study aims to map designpreneurship literature through bibliometric analysis, identifying publication trends, dominant themes, and key actors in this field. Data were taken from the Dimensions database (2000–2025), covering 45 articles, analyzed using VOSviewer to reveal collaboration patterns (country, institution, author) and keywords. The publication trend has increased sharply since 2016, reaching 10 articles in 2024. Indonesia has emerged as a major hub with strong collaborations with Malaysia, Japan, and China. The Bandung Institute of Technology was identified as the most productive institution. The journals Design, Economics and Innovation, Review of Managerial Science, and Journal of the Knowledge Economy are at the forefront of publications. Dominant research themes include the integration of design thinking, business innovation, and sustainability, indicating a focus on sustainable design innovation. This study presents a comprehensive mapping of designpreneurship literature, strengthening the concept of design and entrepreneurship synergy in creative innovation. These findings are relevant to the design strategy of ministerial position houses in the IKN based on local wisdom and sustainability.

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