Human Capital, Artificial Intelligence Are Mediated By Digital Twin To Improve Msme Performance In Purwokerto
Abstract
Micro, Small and Medium Enterprises (MSMEs) are the backbone of the economy in many countries around the world. They make significant contributions to economic growth, job creation, and income distribution. This research aims to investigate the potential and effectiveness of using Human Capital, Artificial Intelligence mediated by Digital Twins in improving the performance of MSMEs. This research will focus on developing and implementing new technology and strategies to optimize stock management, increase operational efficiency, improve customer service, and ensure compliance with relevant regulations. This research can also contribute to increasing the competitiveness and profitability of Alfamart and its partner MSMEs through innovative approach in managing and utilizing human resources and technology. This research uses a quantitative approach. Based on a quantitative approach, this research uses a survey method using a questionnaire as a data collection tool. The population used in this research were employees who worked at several Alfamarts in Purwokerto. This research uses a convenience sampling technique. Considering the limited time in collecting data, researchers can determine the sample using the Roscoe formula. Data analysis techniques use measurement scales (Likert scales), multiple regression, data analysis tests, classical assumption tests and mediation tests. The results of this research show that human capital has a positive effect on the performance of Alfamart MSMEs. Artificial intelligence has a positive effect on the performance of Alfamart MSMEs. There is a significant mediating effect from the digital twin between human capital on the performance of Alfamart MSMEs. There is a significant mediation effect from the digital twin between artificial intelligence on Alfamart MSME performance, this is shown by the results of a questionnaire with 40 respondents.
Keywords: Human Capital, Artificial Intelligence, Digital Twin, MSME Performance.
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Afzal, H., et al. (2020). The emerging role of artificial intelligence in multiple sclerosis imaging. https://doi.org/https://doi.org/10.1177/1352458520966298
Badghish, S., & Soomro, Y. A. (2024). Artificial Intelligence Adoption by SMEs to Achieve Sustainable Business Performance: Application of Technology–Organization–Environment Framework. Sustainability (Switzerland) , 16(5). https://doi.org/10.3390/su16051864
Dossou, Paul-Eric & Nshokano, C. N. (2023). Framework for Implementing Digital Twin as an Industry 5.0 Concept to Increase the SME Performance.
Endri. (2010). Peran Human Capital Dalam Meningkatkan Kinerja Perusahaan : Suatu Tinjauan Teoritis Dan empiris. Jurnal Administrasi Bisnis, 6(2), 179–190.
Gonibala, N. dkk. (2019). Analisis Pengaruh Modal dan Biaya Produksi Terhadap Pendapatan UMKM di Kota Kitamobagu. Berkala Ilmiah Efisiensi, 19(01), 56–67.
Johnson, Patricia M., et al. (2020). Improving the Speed of MRI with Artificial Intelligence. https://doi.org/https://doi.org/10.1055/s-0039-3400265
K. Patil, et al. (2023). MSMEs Readiness for Adopting Artificial Intelligence and Machine Learning. https://doi.org/https://doi.org/10.1109/ICACTA58201.2023.10392396
Mardiatmoko. (2020). Pentingnya Uji Asumsi Klasik Pada Analisis Regresi Linier Berganda. Jurnal Ilmu Matematika Dan Terapan, 14(3), 333–342. https://doi.org/https://doi.org/10.30598/barekengvol14iss3pp333-342
Mas’ud, Anis Anshari, et al. (2023). HR Competency Analysis on Increasing MSMEs Performance In Supporting Industrial Era 4.0.
Muda, S., & Rahman, M. R. C. A. (2016). Human Capital in SMEs Life Cycle Perspective. Procedia Economics and Finance, 35(August), 683–689. https://doi.org/10.1016/s2212-5671(16)00084-8
Nawangsari, L. C. et al. (2022). Implementation Of Green Human Resources Management To Improve MSME Competitiveness.
Noor Salim, M., Susilastuti, D., & Wildan Rafiqah, I. (2020). Determinant of MSMEs Performance and its Impact on Province GRDP in Indonesia. International Journal of Business, Economics and Management, 7(1), 1–13. https://doi.org/10.18488/journal.62.2020.71.1.13
Pantas, M. N., Ngangi, C. R., & Lolowang, T. F. (2024). Modal Sosial Dan Modal Manusia Pada Usaha CV Manado Agro Sentosa Social Capital and Human Capital At CV Manado Agro Sentosa Business. 20, 343–354.
Podder, Itilekha, et al. (2023). Artificial Intelligence Applications for MEMS-Based Sensors and Manufacturing Process Optimization. https://doi.org/https://doi.org/10.3390/telecom4010011
Qamsane, Y., Moyne, J., Toothman, M., Kovalenko, I., Balta, E. C., Faris, J., Tilbury, D. M., & Barton, K. (2021). A Methodology to Develop and Implement Digital Twin Solutions for Manufacturing Systems. IEEE Access, 9, 44247–44265. https://doi.org/10.1109/ACCESS.2021.3065971
Qi Lin, Hong Shen, C. Z. (2022). Learning Linear MMSE Precoder for Uplink Massive MIMO Systems With One-Bit ADCs. https://doi.org/https://doi.org/10.1109/LWC.2022.3198286
Rahayu, Y. (2018). Komitmen Pengusaha Berbasis Orientasi Kewirausahaan. Jurnal Ecodemica : Jurnal Ekonomi Manajemen Dan Bisnis, 2(1), 147–155. https://ejournal.bsi.ac.id/ejurnal/index.php/ecodemica/article/view/3528
Rokhayati, I. (2015). Pengukuran Kinerja pada Usaha Mikro Kecil dan Menengah (UMKM): Suatu Telaah Pustaka. Monex, 4(2), 94–100. http://ejournal.poltektegal.ac.id/index.php/monex/article/view/273/267
Sugiyono, S. (2017). Metode Penelitian Kuantitatif Kualitatif dan R&D. Bandung: Alfabeta.
Suliyanto. (2018). Metode penelitian bisnis : untuk skripsi, tesis, dan disertasi (A. Cristian (ed.)). Andi Offset (2018).
Syarifah, I., Mawardi, M. K., & Iqbal, M. (2020). Pengaruh modal manusia terhadap orientasi pasar dan kinerja UMKM. Jurnal Ekonomi Dan Bisnis, 23(1), 69–96. https://doi.org/10.24914/jeb.v23i1.2521
Threesa, T., & Budiarti, I. (2021). Modal Manusia, Modal Sosial, Dan Budaya Organisasi Pengaruhnya Terhadap Kinerja Karyawan (Studi Pada Perusahaan Pertambangan Di Indonesia). Journal of Economics, Management, Business and Accounting, 1(1), 117–129. https://doi.org/10.34010/jemba.v1i1.5025
Tripath, N. et al. (2021). Applications of artificial intelligence to drug design and discovery in the big data era: a comprehensive review. Pubmed.
Uhlemann, T. H. J., Schock, C., Lehmann, C., Freiberger, S., & Steinhilper, R. (2017). The Digital Twin: Demonstrating the Potential of Real Time Data Acquisition in Production Systems. Procedia Manufacturing, 9, 113–120. https://doi.org/10.1016/j.promfg.2017.04.043
Viola De Yusa, Zuriana, Besti Lilyana, & Fabia Nabila. (2022). Penggunaan Aplikasi Stroberi Kasir pada Pelaku Umkm Opak. ABDISOSHUM: Jurnal Pengabdian Masyarakat Bidang Sosial Dan Humaniora, 1(3), 399–406. https://doi.org/10.55123/abdisoshum.v1i3.1062
Voigt, I., Inojosa, H., Dillenseger, A., Haase, R., Akgün, K., & Ziemssen, T. (2021). Digital Twins for Multiple Sclerosis. Frontiers in Immunology, 12(May), 1–17. https://doi.org/10.3389/fimmu.2021.669811
Walsh, J. R., Smith, A. M., Pouliot, Y., Li-Bland, D., Loukianov, A., & Fisher, C. K. (2020). Generating Digital Twins with Multiple Sclerosis Using Probabilistic Neural Networks. http://arxiv.org/abs/2002.02779
WU, X., & Sivalogathasan, V. (2013). Innovation Capability for better Performance: Intellectual Capital and Organization Performance of the Apparel Industry in Sri Lanka. Journal of Advanced Management Science, 1(3), 273–277. https://doi.org/10.12720/joams.1.3.273-277
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