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STUDI KELAYAKAN ASPEK TEKNIS DAN TEKNOLOGI UMKM RAKIK PISANG RAHMAT DI KABUPATEN AGAM Marzhanda, Yola; Annisa, Nola Nurma; Intan, Intan; Auliya, Yuka Amarasri; Yahya, Lucky Mahesa
KOLEGIAL Vol 12 No 1 (2024): Januari-Juni
Publisher : STIE DWI SAKTI BATURAJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55744/kolegial.v12i1.219

Abstract

In advancing the productivity and efficiency of a business, a business feasibility study is needed to assess and analyze various aspects in the development of business operations. For this reason, this study aims to review the feasibility of business studies on the UMKM Rakik Pisang Rahmat in Agam Regency, which is engaged in the food industry. This type of research is descriptive research. Data collection techniques used in obtaining data are observation and interviews. The analytical method used is the analysis of technical and technological aspects. The results of the study show that the Rakik Pisang Rahmat business is in a strategic area which allows the business to increase effectiveness by managing the availability of raw materials and production capacity, but still uses traditional technology in its production activities, so that the Rakik Pisang Rahmat business is not feasible from a technical and technological perspective.
Pengaruh Jumlah Total Produksi dan Safety Stock terhadap Pemenuhan Permintaan pada UMKM Leven Coffe Roaster Yahya, Lucky Mahesa; Hasanah, Ainilla; Hutasuhut, Nadra Nadila; Firdaus, Riska Maharani
BUDGETING : Journal of Business, Management and Accounting Vol 5 No 1 (2023): BUDGETING : Journal of Business, Management and Accounting
Publisher : Institut Penelitian Matematika Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

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Abstract

When running a business, of course you need to prepare things that can support the business being run thoroughly. Determining the amount of inventory and production is also important in supporting business success. Likewise with Leven Coffee Roaster MSMEs which of course also have their own inventory and production quantities to run their business. The aim of this research is to see how much influence the amount of inventory and production has on demand for Leven Coffee Roaster MSMEs. In conducting this research, the method used was a quantitative method. In an effort to obtain this data, researchers used the interview method with MSME owners. For data processing, researchers used the multiple linear regression method to help researchers determine the influence of variable X on Y. From the test results it was found that variable The remaining 65.4% is influenced by other variables outside the variables studied.
Pengaruh Kualitas Aset Terhadap Kinerja Keuangan Bank Komersial Di Era Digital Yahya, Lucky Mahesa; Rahman, Wahyudin; Launtu, Ansir; Hastutik, Sri; Mudasetia, Mudasetia
Management Studies and Entrepreneurship Journal (MSEJ) Vol. 5 No. 1 (2024): Management Studies and Entrepreneurship Journal (MSEJ)
Publisher : Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/msej.v5i1.3904

Abstract

Kualitas aset memiliki peran penting dalam menentukan kinerja keuangan bank komersial, terutama dalam konteks era digital saat ini. Artikel ini mengkaji pengaruh kualitas aset terhadap kinerja keuangan bank-bank komersial dengan menggunakan metode analisis statistik. Data yang terkumpul akan dianalisis untuk mengidentifikasi hubungan antara kualitas aset dan kinerja keuangan, serta implikasinya dalam menghadapi tantangan era digital. Studi ini diharapkan dapat memberikan wawasan yang mendalam mengenai faktor-faktor yang memengaruhi kinerja keuangan bank di era digital.
Dynamics of Corporate Finance Research in Global Scientific Literature Yahya, Lucky Mahesa; Sudarmanto, Eko
West Science Business and Management Vol. 2 No. 03 (2024): West Science Business and Management
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsbm.v2i03.1277

Abstract

This study explores the dynamics of corporate finance research in global scientific literature from 2000 to 2024 using a bibliometric approach. By analyzing keyword co-occurrence and citation data, the research identifies key themes, emerging trends, and influential contributors in corporate finance. Core topics such as capital structure, cost management, and debt remain central, reflecting traditional corporate finance priorities. However, newer areas, including corporate social responsibility (CSR), corporate cash holdings, and behavioral finance, have gained prominence, signaling a shift towards integrating non-financial factors into corporate strategies. The study also highlights the lasting impact of global financial crises, particularly the 2008 crisis, on shaping research in financial distress, risk management, and institutional roles. These insights provide a comprehensive overview of the evolution of corporate finance research and offer directions for future studies.
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.