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All Journal KOLEGIAL : Jurnal Manajemen, Bisnis, dan Akuntansi Journal of Economic, Bussines and Accounting (COSTING) EKONOMIS : Journal of Economics and Business 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) 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 Science Information System and Technology Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Jurnal Multidisiplin Indonesia JURNAL ECONETICA: Jurnal Sosial, Ekonomi Dan Bisnis INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE (INJOLE) INTERNATIONAL JOURNAL OF FINANCIAL ECONOMICS (IJEFE) International Journal of Social and Education (INJOSEDU)
Lucky Mahesa Yahya
Fakultas Ekonomi Dan Bisnis, Jurusan Manajemen, Payakumbuh Universitas Andalas
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Veterinary Other

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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.
Dynamics of Corporate Finance Research in Global Scientific Literature Lucky Mahesa Yahya; Eko Sudarmanto
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.
Analisis Strategi Bisnis Usaha Mikro Kecil Dan Menengah Toko Kue: Studi Kasus Pada Usaha Kue Bolu Ina Boy Lucky Mahesa Yahya; Vinda Putri Yanda; Dinda Indriyani; Abdul Hafid
AKUNTANSI 45 Vol. 5 No. 1 (2024): Jurnal Ilmiah Akuntansi
Publisher : Fakultas Ekonomi Program Studi Akuntansi Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/akuntansi45.v5i1.2517

Abstract

The goal of business analysis of sponge cake companies is to comprehend the variables that affect their competitive market performance. Numerous important factors, including the external and internal environments as well as social and cultural factors, must be taken into account in this analysis. Several analysis techniques, including SWOT, STP, and market analysis, can be applied to business analyses of sponge cake companies. Finding an overview of the application of SWOT, STP, and market analysis in the "Kue Bolu Ina Boy" business is the aim of this study. By using these techniques, sponge cake companies can better understand the opportunities and challenges they face and develop a business plan that will maximize their growth and performance. Through appropriate business analysis, a sponge cake company can maximize productivity and boost earnings. In addition, business analysis can support sponge cake companies in adapting to changing circumstances and staying competitive in a market that is becoming more and more crowded.
Perilaku Konsumen Terhadap Minat Beli Pada Perubahan Paradigma Pasar Dari Konvensional Ke Digital Lucky Mahesa Yahya; Erizal Nazaruddin; Olivia Vransiska Cania; Dhea Sri Amanda; Widia Khairani
Digital Bisnis: Jurnal Publikasi Ilmu Manajemen dan E-Commerce Vol. 2 No. 3 (2023): September : Digital Bisnis : Jurnal Publikasi Ilmu Manajemen dan E-Commerce
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/digital.v2i3.1402

Abstract

This study's objectives are to ascertain the findings from a comparison of the effectiveness of using digital marketing vs traditional marketing, as well as to give a general overview of how to use digital marketing to boost sales volume. We employed sample counting with the Multiple Linear approach, which was processed using SPSS 26.0 and the EPIC Model method, in this investigation because we needed about 100 respondents. Using an online questionnaire was the study's method for gathering data. According to research findings, using digital marketing to promote products might enhance potential buyers' understanding of the things being promoted and their interest in purchasing them. The Multiple Linear Regression test findings indicate that the conventional market (X2) and the digital market (X1) have a favourable impact on customer buying interest (Y). From the results Cronach alpha values for X1, X2, and Y are based on the table mentioned above and have a significance level of 0.05 df = 100 - 2 = 98 = 0.1654. In the EPIC Model method, the effectiveness level of the Digita Market variable is higher at 4.07 when compared to the Conventional Market variable, which is 3.63.
Pengaruh Kualitas Produk Dan Kualitas Pelayanan Terhadap Kepuasan Pelanggan Sanjai Rina di Kota Payakumbuh Yahya, Lucky Mahesa; Nazaruddin, Erizal; Azizah, Nur; Reivany, Sannia; Putri, Nadiah
Jurnal Multidisiplin Indonesia Vol. 2 No. 7 (2023): Jurnal Multidisiplin Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jmi.v2i7.319

Abstract

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh simultan dan parsial kualitas produk dan pelayanan terhadap kepuasan pelanggan di Sanjai Rina Kota Payakumbuh. Uji Asumsi Klasik, Analisis Regresi, Uji T, F, dan R2 digunakan untuk menguji hipotesis. Temuan penelitian menunjukkan bahwa kepuasan pelanggan Sanjai Rina di Kota Payakumbuh secara signifikan dipengaruhi oleh kualitas produk dan layanan secara bersamaan. Secara parsial Service Quality berpengaruh besar terhadap Customer Satisfaction saat pembelian Sanjai Rina Kota Payakumbuh, dan Service Quality juga berpengaruh signifikan.
Analisis Daya Tarik Konsumen Toko Kue Balqis Di Payakumbuh Dengan Correspondence Analysis Yahya, Lucky Mahesa; Nazaruddin, Erizal; Alfiana, Meza Putri; Sabrina, Cindy Putri
Jurnal Multidisiplin Indonesia Vol. 2 No. 7 (2023): Jurnal Multidisiplin Indonesia
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jmi.v2i7.321

Abstract

Penelitian ini bertujuan untuk mengetahui daya Tarik apa saja yang mempengaruhi Konsumen dalam melakukan pembelian pada toko roti Balqis Payakumbuh. Analisis yang digunakan dalam penelitian adalah Correspondence Analysis. Data yang digunakan adalah data primer menggunakan Metode kuantitatif, data didapat melalui penyebaran kuesioner online yang dilakukan di Payakumbuh Sumatera Barat. Hasil dari penelitian menunjukkan bahwa factor apa saja yang membuat daya Tarik Konsumen untuk berbelanja pada toko kue, dengan variabel yang dipertimbangkan adalah lokasi yang strategis, variasi kue, harga yang terjangkau, personal penjualan, pelayanan yang ditawarkan, sifat dari pelanggan toko, suasana dari toko, kepuasan setelah melakukan pembelian atau transaksi. Setiap variabel memiliki keterkaitan satu sama halin hal ini yang membuat daya Tarik Konsumen terhadap toko roti berbeda dan beragam.
Pengaruh Persepsi Harga, Kesadaran Merek, Kualitas Pengiriman Terhadap Kepuasan Pelanggan dan Niat Beli Ulang Pada Franchise Ngikan Yuk Di Kota Bukittinggi Oktavia, Vivi; Desri, Syuryatman; Yahya, Lucky Mahesa; Rahmi, Desi Yulia
Innovative: Journal Of Social Science Research Vol. 4 No. 2 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i2.9371

Abstract

Penelitian bertujuan untuk mengetahui pengaruh Persepsi Harga Kesadaran Merek dan Kualitas Pengiriman terhadap Kepuasan Konsumen dan Niat Beli Ulang pada produk Ngikan Yuk di Kota Bukittinggi. Penelitian ini menggunakan metode kuantitatif dengan teknik non probability sampling dengan metode pengambilan sampel purposive sampling, kemudian data diolah serta dianalisis menggunakan metode SEM-PLS dengan bantuan software SmartPLS 3.0. Responden penelitian berjumlah 115 pelanggan Ngikan Yuk di Kota Bukittinggi. Hasil penelitian menunjukkan variabel Persepsi Harga berpengaruh signifikan terhadap kepuasan konsumen, variabel kesadaran merek berpengaruh signifikan terhadap kepuasan konsumen, variabel kualitas pengiriman berpengaruh signifikan terhadap kepuasan konsumen dan variabel persepsi harga tidak berpengaruh signifikan terhadap niat beli ulang, variabel Kesadaran merek berpengaruh signifikan terhadap niat beli ulang, variabel kualitas pengiriman tidak berpengaruh signifikan terhadap niat beli ulang dan kepuasan kosumen berpengaruh signifikan terhadao niat beli ulang. Implikasi penelitian ini pihak Ngikan Yuk harus selalu memberikan ikan segar yang siap olah dan memperhatikan tepung bagian luar agar tidak bertekstur keras sehingga balita juga bisa menikmati hasil produk Ngikan Yuk.
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.
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 Ade Suhara Adila Putri Ayu Afif Alfalah Afriantoni Agustinus Suradi Al-Amin Al-Amin Al-Amin Alfiana, Meza Putri Andreza Yosmi Saputra Anisah Nabilah Jonefar Annisa, Nola Nurma Antonius Rino Vanchapo Arnes Yuli Vandika Asdi Asdi Asri, Widya Kartika Auliya, Yuka Amarasri Ayu Putri Radinda 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 I Wayan Adi Pratama Ihsan Junas Intan Intan Irma Hakim Iwan Harsono Jedithjah Naapia Tamedi Papia Judijanto, Loso KMT Lasmiatun LAUNTU, ANSIR Loso Judijanto Lovita Permata Sari Maisyarah, Adzkiatul Marzhanda, Yola Maulidini Adha Maulidna Meike Negawati Kesek Melyana R Pugu Moh. Gufron Romadhoni Moh. Gufron Romadhoni Mudasetia, Mudasetia Mufida Rahmi Muhammad Alung Muhammad Ilham Muhammad Ilham Muhlasin Mutia Khairun Nisa Mutiara Citra Sari Mutiara Novelly Asril N, Erizal 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 Widya Kartika Asri Zaenab Nur Aini