Penerapan Artificial Intelligence (AI) untuk Meningkatkan Efisiensi Operasional di Perusahaan Manufaktur: Studi Kasus PT. XYZ

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Published: May 1, 2024
DOI: https://doi.org/10.35870/jmt.v1i1.773
Keywords:
Artificial Intelligence, Manufacturing Operational Efficiency, Case study, Process Optimization
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Yenni Novita
STIE YPHB Aceh.
Rita Zahra
STMIK Indonesia Banda Aceh

Abstract

The application of Artificial Intelligence (AI) has become a major focus in increasing operational efficiency in various industrial sectors, including manufacturing. This research explores the application of AI in improving operational efficiency at PT. XYZ, a manufacturing company operating in a certain sector. Using a qualitative approach with case studies as the main framework, this research collects data through interviews with company management, observations on the production floor, and historical data analysis. Research findings show that AI implementation has had a positive impact by improving productivity, product quality and supply chain management. However, challenges such as limited skilled human resources and high implementation costs were also identified. Based on the findings, suggestions were put forward, including investment in employee training, implementation cost reduction strategies, exploration of broader AI integration, and increased awareness of the benefits of AI among employees and stakeholders. By implementing these suggestions, PT. XYZ can further maximize the potential of AI to increase operational efficiency and maintain its competitiveness in the manufacturing industry. This research also makes an important contribution to manufacturing industry stakeholders more broadly and to the academic literature on AI and the manufacturing industry.

Article Details

How to Cite
Novita, Y., & Zahra, R. (2024). Penerapan Artificial Intelligence (AI) untuk Meningkatkan Efisiensi Operasional di Perusahaan Manufaktur: Studi Kasus PT. XYZ. Jurnal Manajemen Dan Teknologi, 1(1), 11-21. https://doi.org/10.35870/jmt.v1i1.773
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Vol. 1 No. 1 (2024): Mei
Section
Articles
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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Author Biographies

Yenni Novita, STIE YPHB Aceh.

Program Studi Manajemen, STIE YPHB Aceh, Kota Banda Aceh, Provinsi Aceh, Indonesia.

Rita Zahra, STMIK Indonesia Banda Aceh

Program Studi Manajemen Informatika, STMIK Indonesia Banda Aceh Kota, Kota Banda Aceh, Provinsi Aceh, Indonesia.

References

Arinez, J., Chang, Q., Gao, R. X., Xu, C., & Zhang, J. (2020). Artificial intelligence in advanced manufacturing: current status and future outlook. Journal of Manufacturing Science and Engineering, 142(11). https://doi.org/10.1115/1.4047855

Bahari, B. A., Susanto, T. D., & Gunawan, J. (2021). Smart city measurement: identification of smart economy performance indicators in indonesia. Proceedings of the 2nd International Conference on Business and Management of Technology (ICONBMT 2020). https://doi.org/10.2991/aebmr.k.210510.046

Daniaty, D., Firmansyah, B., Ardiansyah, A., & Efendi, T. (2022). Analisis bibliometrik pada penerapan artificial intelligence di smart manufacturing. Seminar Nasional Official Statistics, 2022(1), 491-506. https://doi.org/10.34123/semnasoffstat.v2022i1.1120

Hassani, I. E., Mazgualdi, C. E., & Masrour, T. (2019). Artificial intelligence and machine learning to predict and improve efficiency in manufacturing industry.. https://doi.org/10.48550/arxiv.1901.02256

Königstorfer, F. and Thalmann, S. (2020). Applications of artificial intelligence in commercial banks – a research agenda for behavioral finance. Journal of Behavioral and Experimental Finance, 27, 100352. https://doi.org/10.1016/j.jbef.2020.100352

Plathottam, S. J., Rzonca, A., Lakhnori, R., & Iloeje, C. O. (2023). A review of artificial intelligence applications in manufacturing operations. Journal of Advanced Manufacturing and Processing, 5(3). https://doi.org/10.1002/amp2.10159

Tran, K. P. (2021). Artificial intelligence for smart manufacturing: methods and applications. Sensors, 21(16), 5584. https://doi.org/10.3390/s21165584

Pradani, D. A., Anwar, C., & Armeliza, D. (2021). Pengaruh pemahaman good governance dan penguasaan teknik audit berbantuan komputer terhadap artificial intelligence. Jurnal Akuntansi, Perpajakan Dan Auditing, 2(3), 496-516. https://doi.org/10.21009/japa.0203.02

Ardiansyah, A. (2023). Pendampingan perancangan chatbot sebagai media interaktif dalam menghadapi tantangan era digitalisasi. Lamahu: Jurnal Pengabdian Masyarakat Terintegrasi, 2(1), 44-55. https://doi.org/10.34312/ljpmt.v2i1.18078

Almustaqim, A. and Toscany, A. N. (2022). Perancangan sistem chatbot sebagai virtual assistant pada pt. everbright jambi. Skanika, 5(2), 228-239. https://doi.org/10.36080/skanika.v5i2.2953

Peterson, J. W. and Kurniawan, Y. (2023). Pengaruh dari penerapan big data, penerapan cloud computing, dan penerapan artificial intelligence pada kinerja profesi akuntan dalam menghadapi era revolusi industri 4.0 di pt. perada swara productions. Journal of Students‘ Research in Computer Science, 4(1), 93-104. https://doi.org/10.31599/jsrcs.v4i1.2054

Paramecwari, K. T., Suwirmayanti, N. L. G. P., & Setiawan, I. K. R. (2022). Sistem otomasi pesan chatbot untuk penukaran uang kecil secara online (studi kasus: pt. bank central asia tbk. cabang denpasar). Jurnal Bumigora Information Technology (BITe), 4(1), 115-122. https://doi.org/10.30812/bite.v3i2.1538

Oktaviana, U. N., Hendrawan, R., Annas, A. D. K., & Wicaksono, G. W. (2021). Klasifikasi penyakit padi berdasarkan citra daun menggunakan model terlatih resnet101. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 5(6), 1216-1222. https://doi.org/10.29207/resti.v5i6.3607

Ramadhan, F. Z., Aditya, G., Nainggolan, P. D. Y., & Adhinata, F. D. (2021). Sistem pakar diagnosa penyakit pada hewan kucing berbasis web. Jurnal Komtika (Komputasi Dan Informatika), 5(2), 122-131. https://doi.org/10.31603/komtika.v5i2.5301

Chairunnisa, C., Radityo, H., Wicaksono, H. R., & Ayyasy, S. T. (2021). Penerapan algoritma pada artificial intelligence sebagai upaya menangani penyebaran hoax. Cakrawala, 15(2), 174-187. https://doi.org/10.32781/cakrawala.v15i2.316

Ridwan, B. M. (2022). Penerapan enterprise architecture pada perusahaan manufaktur baja di era industri 4.0. JATISI (Jurnal Teknik Informatika Dan Sistem Informasi), 9(3), 2652-2663. https://doi.org/10.35957/jatisi.v9i3.2000

Tania, T. and Abdi, M. (2023). Pengaruh efisiensi operasional, efektivitas pemasaran, dan financial leverage terhadap kinerja keuangan perusahaan publik. Jurnal Manajerial Dan Kewirausahaan, 5(1), 76-83. https://doi.org/10.24912/jmk.v5i1.22515

Lumangkun, A. G. and Leon, F. M. (2022). Apakah sinergis pengungkapan informasi lingkungan dan inovasi teknologi bisa berdampak pada kinerja keuangan perusahaan manufaktur?. Jurnal Penelitian Dan Pengembangan Sains Dan Humaniora, 5(3), 406-415. https://doi.org/10.23887/jppsh.v5i3.41142

Aishwarya, G. L., Satyanarayana, V., Singh, M. K., & Kumar, S. (2022). Contemporary evolution of artificial intelligence (ai): an overview and applications. Advances in Transdisciplinary Engineering. https://doi.org/10.3233/atde220731

Aishwarya, G. L., Satyanarayana, V., Singh, M. K., & Kumar, S. (2022). Contemporary evolution of artificial intelligence (ai): an overview and applications. Advances in Transdisciplinary Engineering. https://doi.org/10.3233/atde220731