ROBOTIKA DALAM MANUFAKTUR: KECERDASAN BUATAN MENGANTARKAN OTOMATISASI DAN KOLABORASI MANUSIA-ROBOT KE TINGKAT YANG NYATA

Authors

  • Muhammad Subhan Abdullah Universitas Pamulang
  • Rizko Ramdhan Priatna Universitas Pamulang
  • Muhammad Irfan Maulana Universitas Pamulang
  • Maulana Yusuf Universitas Pamulang
  • Perani Rosyani Universitas Pamulang

Keywords:

Robot Automation, Collaborative Robot, Manufacturing Industry, Efficiency, Productivity, Collaborative Automation, Industry, Labor Shortage, Manufacturing Sector, Workforce, Automation, Industry 4.0 Vision, Technology.

Abstract

The use of collaborative robots (cobots) in the manufacturing industry aims to enhance productivity, address the shortage of skilled labor, and improve job satisfaction. The "Collaborative APAC-Cobot Expo 2021" event, organized by Universal Robots, serves as a response to the challenges faced by businesses regarding an aging workforce and labor shortages. The cobot market is projected to continue growing worldwide, including in the Asia Pacific region and Indonesia. The adoption of robotic technology provides significant benefits to the Indonesian industry, particularly in realizing the vision of Industry 4.0. A case study on the implementation of cobots in Yokota Corporation is also presented as an example of successful cobot integration, leading to increased production without requiring additional human resources. Collaborative automation, as a future business strategy post-Covid-19 pandemic, combines the strengths of humans and robots, leading to improved job satisfaction and career advancement. Universal Robots addresses supply chain challenges and labor shortages in the industry through the implementation of collaborative automation. Successful implementation of collaborative automation has been observed in the Asia Pacific region, and this article highlights the opportunities offered by this automation trend. The development of collaborative robots (cobots) as an alternative automation solution within the context of Industry 4.0 in Indonesia is crucial. The Indonesian government's "Making Indonesia 4.0" roadmap recognizes automation as a significant step towards Industry 4.0. Cobots are considered a necessary technology for the development of Industry 4.0 in Indonesia. The advancement of robotic automation in the manufacturing industry in Indonesia is essential for maintaining competitiveness and efficiency in challenging economic conditions. This article highlights Universal Robots, a leading collaborative robot technology company, offering cobots to enhance productivity in the manufacturing sector. The potential benefits of utilizing cobots in improving efficiency and productivity in the manufacturing industry are also discussed.

References

Putra, I. R. (2020). Otomatisasi Robot Solusi Tingkatkan Industri Manufaktur RI di Tengah Kemerosotan. https://www.merdeka.com/uang/otomatisasi-robot-solusi-tingkatkan-industrimanufaktur-ri-di-tengah-kemerosotan.html

Nordiansyah, E. (2021). Masuk Era New Normal, Industri Bisa Manfaatkan Otomatisasi Kolaboratif. https://www.medcom.id/ekonomi/bisnis/nN94adrK-masuk-era-new-normalindustri-bisa-manfaatkan-otomatisasi-kolaboratif

Nurcahyadi, G. (2021). Robot Kolaboratif Bantu Peningkatan Kualitas Industri Manufaktur.

https://mediaindonesia.com/teknologi/405500/robot-kolaboratif-bantu-peningkatankualitas-industri-manufaktur

Kusumaputra, A. (2018). Robot Kolaboratif, Alternatif Otomatisasi untuk Industri 4.0. https://www.kompas.id/baca/utama/2018/12/05/robot-kolaboratif-alternatif-otomatisasiuntuk-industri-4-0

Rahadi, F. (2021). Otomatisasi kolaboratif Solusi Kepuasan Kerja Lebih Besar. https://rejogja.republika.co.id/berita/r2au3s291/otomatisasi-kolaboratif-solusi-kepuasankerja-lebih-besar

Jupri, G. D., Rosandi, & Perani Rosyani. (2022). Implementasi Artificial Intelligence Pada Sistem Manufaktur Terintegrasi: Implementasi Artificial Intelligence. BISIK: Jurnal Ilmu Komputer, Hukum, Kesehatan Dan Sosial Humaniora, 1(2), 140–143. Retrieved from https://journal.mediapublikasi.id/index.php/bisik/article/view/341

Aji Pangestu, M. B., Dicky Prasetya, Dafa Akbar Firmanyah, Fakhri Naufal Ananda, & Perani Rosyani. (2022). Sistem Pakar Diagnosa Kerusakan Pada Laptop Menggunakan Metode Forward Chaining. BISIK: Jurnal Ilmu Komputer, Hukum, Kesehatan Dan Sosial

Humaniora, 1(2), 117–125. Retrieved from https://journal.mediapublikasi.id/index.php/bisik/article/view/365

Wirandi, D. S., Permadi, E. D., Prasetio, D., Rudin, M., & Rosyani, P. (2022). Kecerdasan Buatan Alat Pendeteksi Maling Berbasis Arduino Menggunakan Sensor Ultrasonic Melalui SMS. Scientia Sacra: Jurnal Sains, Teknologi dan Masyarakat, 2(2), 841-849.

Sundawa, E., Utami, M. N., Putra, A. S., Nur, M. I., & Rosyani, P. (2022). Analisis Perbandingan Metode Logika Fuzzy Untuk Menentukan Harga Penjualan/Pembelian Sepeda Motor. BISIK: Jurnal Ilmu Komputer, Hukum, Kesehatan dan Sosial Humaniora, 1(1), 46-50.

Rosyani, P., & Retnawati, R. (2023). Ekstraksi Fitur Wajah Menggunakan Metode Viola Jones dengan Tools Cascade Detector. JURIKOM (Jurnal Riset Komputer), 10(2), 633-639.

Downloads

Published

2023-06-12

How to Cite

Muhammad Subhan Abdullah, Rizko Ramdhan Priatna, Muhammad Irfan Maulana, Maulana Yusuf, & Perani Rosyani. (2023). ROBOTIKA DALAM MANUFAKTUR: KECERDASAN BUATAN MENGANTARKAN OTOMATISASI DAN KOLABORASI MANUSIA-ROBOT KE TINGKAT YANG NYATA. Buletin Ilmiah Ilmu Komputer Dan Multimedia (BIIKMA), 1(1), 29–32. Retrieved from http://jurnalmahasiswa.com/index.php/biikma/article/view/34