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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 25 Documents
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Search results for , issue "Vol 7 No 1 (2025): March" : 25 Documents clear
Strategic Management and Socialpreneurship for Achieving Food Sustainability in Free Lunch Programs Goh, Thomas Sumarsan; Suteja, Jaja; Erika, Erika; Simanjuntak, Arthur; Karsa, Aldo Hermaya Aditiya Nur; Angel, Mary
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.528

Abstract

Achieving Sustainable Development Goal 2 (SDG 2), which focuses on ending hunger, requires innovative approaches in strategic management and socialpreneurship food sustainability. This study investigates the intersection between these fields from 2016 to 2024. The primary objective is to analyze trends and contributions in the area of strategic management applied to food sustainability, particularly focusing on SDG 2, and to understand how business strategies and government policies can contribute to food security and hunger reduction. A bibliometric analysis was conducted using Scopus and VOSviewer to examine bibliometric relationships between countries, authors, organizations, journals, documents, and emerging keywords related to strategic management and socialpreneurship food sustainability. The study specifically looks at the growth of research and the relationship between key concepts. The analysis revealed a significant increase in research activity, with the volume of publications more than tripling from 2016 to 2023. Key countries contributing to this growth include India, Spain, and Bangladesh, with Dar es Salaam University emerging as a leader in food sustainability research in Africa. VOSviewer highlighted the rising importance of Artificial Intelligence and blockchain technologies in optimizing food security through supply chain management. The findings underscore the critical role of government policies and corporate responsibility in achieving SDG 2 and reducing hunger. Successful implementation of sustainable practices in corporate strategies requires strong collaboration between companies, government agencies, and other stakeholders.
Optimizing Islamic Boarding School Edupreneurship Through Internet of Things Adoption and Fuzzy Analytical Hierarchy Process Lutfiyah, Konita; Maarif, Mohammad Syamsul; Asnawi, Yudha Heryawan; Arsyianti, Laily Dwi
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.577

Abstract

Islamic boarding schools are the oldest Islamic educational institutions that are deeply rooted in the history of the Indonesian nation. Since the 15th century, Islamic boarding schools have existed as a manifestation of the synergistic encounter between universal Islamic teachings and local wisdom. Islamic boarding schools can survive across time and generations, because the Islamic boarding school education system prioritizes the formation of spirituality, morality, noble morals and manners. The current study attempts to recommend a priority strategic in adopting Internet of Things (IoT) to create innovative services in islamic boarding School. The processing technique used to determine the strategy is the fuzzy Analytical Hierarchy Process (AHP). This research was conducted in Islamic Boarding School by Focus Group Discussion (FGD) with several experts. The expert is mayor of Depok, head of the Data and Information Center of the Ministry of Education and Culture, Director of Education Diniyah Islamic Boarding School, founder of Islamic boarding school Cendekia Amanah, Professor of Ushuluddin Faculty, IoT practitioner, alumni, and Islamic boarding school practitioner. The results show that the most dominant factor in improving services is human resources, and the actor is the islamic boarding management leader. The following finding is that the Increase organizational impact through service effectiveness and efficiency. The prior alternative strategy to recommend is by Building a technology culture among Islamic boarding school residents through Islamic boarding school values, habits and systems. The results of this study are presented and discussed, and the results of this study can be helpful for islamic boarding school in similar developing countries.
Gold Nanoparticle Synthesis Using Quercetin: Innovation in Biopreneur Pertiwi, Ratih Dyah; Fitria, Pika Ayu; Utami, Tyas Putri; Pamungkas, Rian Adi; Pradana, Reinaldo; Chamroonsawasdi, Kanittha
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.405

Abstract

Biosynthesis offers an environmentally friendly approach for manufacturing nanoparticles, with flavonoids such as quercetin showing potential as reducing agents. This study aimed to synthesize gold nanoparticles (AuNPs) from HAuCl4 using quercetin as a reducing agent. The synthesis process was monitored using UV-Vis spectrophotometry, and the particle size and stability of the nanoparticles were characterized using a Particle Size Analyzer (PSA). The synthesized AuNPs exhibited a color change from light yellow to deep purple, with a peak absorbance between 500 600 nm. The average particle size was found to be 116.7 nm, with a zeta potential of -12.2 mV, and a polydispersity index of 0.293. The inhibitory activity of the AuNPs was assessed by their effect on the tyrosinase enzyme, yielding an IC50 value of 970 μg/mL. These results suggest that gold nanoparticles synthesized using quercetin are stable and exhibit potential inhibitory activity against tyrosinase. The study concludes that this green synthesis method has the potential for further development in drug delivery systems, providing an innovative approach in biopreneurship.
Instilling Nationalism and Sociopreneurship in Young Indonesian Immigrants Mutiara, Indah Ainun; Syamsuddin, Agustan; Maharida, Maharida; Napasti, Friny; Hasnawati, Lina
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.419

Abstract

This article explores the implementation of programs aimed at instilling the spirit of nationalism and love for the homeland in the young generation of Indonesian immigrants in the Sentul area of Kuala Lumpur, Malaysia. The urgency lies in fostering a deep understanding and appreciation of nationalism and patriotism among these young individuals, who often face challenges in accessing education due to incomplete essential documents. This study uses initial assessments through observations and interviews, collaborative educational sessions with local guidance centers, and interactive activities such as discussions, quizzes, and cultural events. Significant results show an increase in the young immigrants awareness and embodiment of national values, demonstrated by a stronger sense of identity and connection to their homeland. Tailored educational approaches that integrate Indonesia struggle for independence, national symbols, and cultural heritage play a critical role in maintaining national identity among immigrant populations. Continuous efforts are necessary to ensure that the younger generation remains connected to their heritage and develops a robust nationalistic spirit, even when living abroad.
Predicting Transjakarta Passengers with LSTM-BiLSTM Deep Learning Models for Smart Transportpreneurship Siswanto, Joko; Hendry, Hendry; Rahardja, Untung; Sembiring, Irwan; Lisangan, Erick Alfons
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.440

Abstract

Travel pattern variations pose challenges in building a prediction model that accurately captures seasonal patterns or precision of BRT passenger numbers. An approach that integrates sophisticated prediction algorithms with high accuracy is needed to address the Transjakarta BRT passenger number prediction model problem. The proposed prediction model with the best accuracy is sought using deep learning on 8 models. The prediction model is used for short-term and long-term predictions, as well as looking for correlations in the prediction results of 13 Transjakarta corridors. The Python programming language with the Deep Learning Tensor Flow framework is run by Google Colaboratory used in the prediction simulation environment. The combination of BiLSTM-CNN was found to have the best accuracy of the evaluation value (SMAPE = 15.9387, MAPE = 0.598, and MSLE = 0.0425), although it has the longest time (134 seconds). Fluctuations in short-term predictions of passenger numbers evenly occur simultaneously across all corridors. Fluctuations in long-term predictions evenly occur simultaneously across all corridors, except in February. There is no negative correlation in the 13 prediction results and there are 8 corridors that have a close positive correlation. The prediction results can be used by transportation operators and the government to optimize resource planning and transportation policies to support sustainable community and economic mobility.
Entrepreneurial Self-Employment and Work Engagement in MSMEs Through Autonomy and Rewards Wuisan, Dewi; Manurung, John William; Wantah, Christoffel; Yuliana, Merryl Esther
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.448

Abstract

The rise of self-employment highlights the need to understand its implications on workers engagement, especially for those in Economically Dependent Solo Self-Employment (EDSSE) and Necessity Self-Employment (NSE). This study aims to examine the effects of these two self-employment types on skill discretion, rewards, autonomy, and work engagement, as well as the mediating roles of these three intrinsic job resources. Using a quantitative approach, data were collected via questionnaires from self-employed individuals in Jakarta who have worked for at least one year. Partial Least Square (PLS) analysis was employed to evaluate the relationships between variables. The results reveal that both EDSSE and NSE positively influence skill discretion, rewards, autonomy, and work engagement. Furthermore, these intrinsic job resources mediate the relationship between self-employment types and work engagement, highlighting their pivotal role. The findings emphasize that both direct and mediated effects contribute positively to work engagement among self-employed workers. This research offers practical insights into the role of intrinsic resources in enhancing engagement and provides theoretical contributions to self-employment literature. Further studies are suggested to explore the moderating influence of demographic and contextual factors in different self-employment settings.
Boosting ESG Performance: Overcoming Collusion Among Entrepreneurial Family and Institutional Shareholders Geraldina, Ira; Muktiyanto, Ali; Rahardja, Untung
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.452

Abstract

This study addresses the debate on the role of Multiple Large Shareholders (MLS) in influencing Environmental, Social, and Governance (ESG) performance in family-controlled firms across ASEAN. It explores whether MLS identity creates a collusion effect or monitoring effect on ESG outcomes. Using unbalanced panel regression with 672 firm-year observations from publicly listed firms in ASEAN-6 (2015-2022), this study evaluates the impact of MLS identity on ESG performance. The findings indicate that MLS mainly exert a collusion effect, prioritizing private gains over stakeholder interests. Institutional investors as second-largest shareholders often misuse private ESG information rather than ensuring accountability, amplifying the collusion effect. These results contrast with prior studies highlighting MLS monitoring role in other regions. This study emphasizes the need for stronger governance in ASEAN to address MLS collusion and improve ESG performance. Global investors and policymakers must advocate for sustainable practices and transparency in family-controlled firms. The insights advance discussions on ownership structures and their implications for corporate sustainability in emerging markets.
IoT-Based Community Smart Health Service Model: Empowering Entrepreneurs in Health Innovation Jonas, Dendy; Purnomo, Hindriyanto Dwi; Iriani, Ade; Sembiring, Irwan; Kristiadi, Dedy Prasetya; Nanle, Zeze
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.461

Abstract

The Indonesian government aims to improve public health by integrating a unified health platform with regional systems for effective decision-making. However, the existing health information system is inadequate for broader decision-making needs, focusing primarily on individuals with existing health issues and not adequately addressing the needs of disaster victims, such as those affected by floods, accidents, and burns. Tangerang City, located in Banten Province, is a flood-prone area that faces annual disasters, highlighting this gap. To address this issue, this study proposes the development of a Health Internet of Things (HIoT) model designed to support rapid decision-making and enhance community health services. The proposed IoT-based network will be implemented in residential complexes, private clinics, schools, and places of worship, enabling real-time monitoring of health conditions and facilitating disaster or pandemic mitigation. Data collected from these communities will be transmitted to nearby hospitals for immediate medical assistance. Preliminary findings suggest that the IoT-based e-health system offers significant benefits, including faster patient care, improved data accuracy, and reduced operational costs. These results underscore the potential of HIoT to enhance community-based health services. The study provides a foundation for future research and practical applications. Further investigation will be conducted to evaluate the scalability of the system in diverse communities and its impact on long-term health outcomes.
Development of ULOS Learning Model with AR to Foster Cultural Appreciation Sijabat, Apriani; Festiyed, Festiyed; Razak, Abdul; Diliarosta, Skunda; Lufri, Lufri; Leonie, Natasha
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.471

Abstract

Indonesia is rich in diverse cultural heritage, including the traditional ULOS cloth from North Sumatra. To preserve and appreciate local culture, it is essential for student teachers to develop a deep understanding and love for that culture. The ULOS-based learning model, assisted by Augmented Reality (AR), is designed to achieve this goal. This research aims to develop a learning model based on the Project-Based Learning (PjBL) model, referred to as the ULOS model, to increase cultural understanding and appreciation among prospective teacher students. The study follows a Research and Development approach using the ADDIE development model. The sample includes elementary school teacher education students from UHKBPNP during the trial and effectiveness testing stages. Data collection involved expert validation sheets to assess the model suitability and test instruments to measure students love for their culture. The results demonstrate that the ULOS learning model assisted by AR, was declared valid, effective, and practical. It significantly enhanced students understanding of Batak culture and ULOS cloth, while also increasing their positive attitudes and love for local culture. The use of ULOS cloth as a teaching aid not only enriches the learning process but also strengthens cultural identity and fosters pride in Indonesia cultural heritage. The ULOS learning model is effective in enhancing cultural understanding and appreciation and has the potential to be adopted and developed in various educational and cultural contexts worldwide.
Social Media as a Tool for Transforming Childhood Learning Mechanisms in Edupreneurship Watini, Sri; Magdalena, Lena; Wirjawan, Tri Wahyu; Gunawan, ⁠Ahmad; Julianingsih, Dwi; Ivanov, Nikita
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 1 (2025): March
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i1.475

Abstract

This paper delves into the intricate relationship between social media and childhood learning mechanisms for children. Despite the growing body of research on learners acceptance of e-learning systems via childhood program platforms, a considerable gap remains in understanding the determinants that shape the acceptance of e-learning facilitated through social media applications. Addressing this gap, our study undertakes an exploration of the impact of social media practices, specifically knowledge sharing, social media features, motivation, and uses, on children embrace of e-learning systems. To accomplish this, we extend the well-established Technology Acceptance Model (TAM) to incorporate these determinants. A comprehensive survey was conducted involving 355 children. These students participated through questionnaire surveys, providing essential empirical data. Employing the robust SmartPLS technique, meticulously analyzed the extended model. The results of empirical data analysis demonstrate that social media practices exert a significant and positive influence on Perceived Usefulness (PU) and Perceived Ease of Use (PEOU) related to Childhood Learning Mechanisms. Crucially, our findings underscore the pivotal role of both PU and PEOU in influencing the acceptance of e-learning systems. In essence, this paper not only sheds light on the transformative potential of social media practices in shaping the acceptance of e-learning systems but also contributes to the existing discourse by deepening our understanding of the interplay between social media, TAM determinants, and e-learning acceptance in childhood programs.

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