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All Journal KOLEGIAL : Jurnal Manajemen, Bisnis, dan Akuntansi Journal of Economic, Bussines and Accounting (COSTING) JURNAL PENDIDIKAN TAMBUSAI Jambura Journal of Community Empowerment Jurnal Informasi dan Teknologi Management Studies and Entrepreneurship Journal (MSEJ) BUDGETING : Journal of Business, Management and Accounting Shar-E: Jurnal Kajian Ekonomi Hukum Syariah Jurnal Studi Ekonomi dan Bisnis Islam (SEBI) Econetica Akuntansi'45 Jurnal Ekonomi dan Bisnis Digital (MINISTAL) Journal of Applied Management Studies Digital Bisnis: Jurnal Publikasi Ilmu Manajemen Dan E-commerce Innovative: Journal Of Social Science Research West Science Business and Management Jurnal Riset Manajemen INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Science Information System and Technology Jurnal Multidisiplin Indonesia International Journal of Social and Education (INJOSEDU)
Lucky Mahesa Yahya
Fakultas Ekonomi Dan Bisnis, Jurusan Manajemen, Payakumbuh Universitas Andalas
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Veterinary Other

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Journal : Science Information System and Technology

 1 
Business Model Transformation and Information Technology Use on the Quality of Accounting Information Systems in MSMEs in Indonesia Lucky Mahesa Yahya
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.801

Abstract

This research investigates the impact of business model transformation (BMT) and information technology utilization (ITU) on the quality of accounting information systems (QAIS) in Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. A quantitative approach is employed, with data collected through a survey of MSMEs across various industries. Structural Equation Modeling (SEM) with Partial Least Squares (PLS) is used for data analysis. The findings reveal significant positive relationships between BMT, ITU, and QAIS. Business model transformation and IT utilization are found to significantly enhance the quality of accounting information systems in Indonesian MSMEs. These results highlight the importance of innovative business practices and effective technology adoption in improving financial management processes within MSMEs, providing valuable insights for practitioners, policymakers, and researchers.
Application of Artificial Intelligence to Improve Production Process Efficiency in Manufacturing Industry Lucky Mahesa Yahya; Suharni Suharni; Deddy Hidayat; Arnes Yuli Vandika
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1221

Abstract

The rapid advancement of Artificial Intelligence (AI) has profoundly impacted the manufacturing industry, offering transformative potential to enhance production process efficiency. This paper presents a systematic literature review of AI applications in the manufacturing sector, focusing on key AI technologies such as machine learning, robotics, predictive analytics, and natural language processing. The review highlights how these technologies have improved quality control, resource management, and overall operational performance. However, the adoption of AI also presents challenges, including significant investment costs, the need for a skilled workforce, and concerns over data security and privacy. Despite these challenges, the integration of AI in manufacturing presents numerous opportunities for future research and innovation, particularly in the areas of sustainable manufacturing and the convergence of AI with other emerging technologies. This study concludes that while AI offers substantial benefits for production efficiency, its successful implementation requires careful strategic planning and investment in both technology and human resources.
Business Model Transformation and Information Technology Use on the Quality of Accounting Information Systems in MSMEs in Indonesia Yahya, Lucky Mahesa
West Science Information System and Technology Vol. 2 No. 01 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i01.801

Abstract

This research investigates the impact of business model transformation (BMT) and information technology utilization (ITU) on the quality of accounting information systems (QAIS) in Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. A quantitative approach is employed, with data collected through a survey of MSMEs across various industries. Structural Equation Modeling (SEM) with Partial Least Squares (PLS) is used for data analysis. The findings reveal significant positive relationships between BMT, ITU, and QAIS. Business model transformation and IT utilization are found to significantly enhance the quality of accounting information systems in Indonesian MSMEs. These results highlight the importance of innovative business practices and effective technology adoption in improving financial management processes within MSMEs, providing valuable insights for practitioners, policymakers, and researchers.
Application of Artificial Intelligence to Improve Production Process Efficiency in Manufacturing Industry Yahya, Lucky Mahesa; Suharni, Suharni; Hidayat, Deddy; Vandika, Arnes Yuli
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1221

Abstract

The rapid advancement of Artificial Intelligence (AI) has profoundly impacted the manufacturing industry, offering transformative potential to enhance production process efficiency. This paper presents a systematic literature review of AI applications in the manufacturing sector, focusing on key AI technologies such as machine learning, robotics, predictive analytics, and natural language processing. The review highlights how these technologies have improved quality control, resource management, and overall operational performance. However, the adoption of AI also presents challenges, including significant investment costs, the need for a skilled workforce, and concerns over data security and privacy. Despite these challenges, the integration of AI in manufacturing presents numerous opportunities for future research and innovation, particularly in the areas of sustainable manufacturing and the convergence of AI with other emerging technologies. This study concludes that while AI offers substantial benefits for production efficiency, its successful implementation requires careful strategic planning and investment in both technology and human resources.
Co-Authors Abdul Hafid Adila Putri Ayu Afif Alfalah Afriantoni Agustinus Suradi Al-Amin Al-Amin Alfiana, Meza Putri Anisah Nabilah Jonefar Annisa, Nola Nurma Antonius Rino Vanchapo Arnes Yuli Vandika Asdi Asdi Asri, Widya Kartika Auliya, Yuka Amarasri Deddy Hidayat Dedi Firmansyah Desri, Syuryatman Dhea Sri Amanda Dilla Gustianningsih Dinda Indriyani Diva Saskia Faiqah Nabila Prisca Firdaus, Riska Maharani Hadenan Towpek Haryanto, Haryanto Hasanah, Ainilla Helda Marlin Ala Hidayat, Deddy Hutasuhut, Nadra Nadila Hutrisia Marafikha Afwa Ihsan Junas Intan Intan Irma Hakim Iwan Harsono Jedithjah Naapia Tamedi Papia Judijanto, Loso KMT Lasmiatun LAUNTU, ANSIR Loso Judijanto Lovita Permata Sari Marzhanda, Yola Maulidini Adha Maulidna Meike Negawati Kesek Moh. Gufron Romadhoni Mudasetia, Mudasetia Mufida Rahmi Muhammad Alung Muhammad Ilham Muhlasin Mutia Khairun Nisa Mutiara Citra Sari Mutiara Novelly Asril Nadia Tul Aisyah Nadiatika Tsabatiyya Nazaruddin, Erizal Nelvia Iryani Nur Azizah Nurwijayanti Oktavia, Vivi Olivia Vransiska Cania Patra Pertiwi, Triani Pia Ramadhani Poppy Noverlin Putri Fadhilah Putri, Nadiah Radinda, Ayu Putri Rahmi Datul Ulfa Rahmi, Desi Yulia Rasyiddin, Ahmad Reghina Zahra Reivany, Sannia Renada Amalia Sabrina, Cindy Putri Saputra, Andreza Yosmi Sarah Faikhotul Fadilla Selli Mariko Silvia Ekasari Sri Hastutik Sri Purwati, Sri Sudarmanto, Eko Suharni Suharni Suharni Sumia Lorenza Vetty Nur Annisa Vinda Putri Yanda Wahyudin Rahman Widia Khairani Zaenab Nur Aini