Industry 4.0: Hand Recognition on Assembly Supervision Process

Penulis

  • Riska Analia Politeknik Negeri Batam
  • Andika Putra Pratama Politeknik Negeri Batam
  • Susanto Susanto Politeknik Negeri Batam

DOI:

https://doi.org/10.30871/ji.v13i1.2757

Kata Kunci:

Industry 4.0, real-time pendeteksian tangan, real-time supervision assembly process.

Abstrak

Pada industri perakitan, proses merakit komponen merupakan hal yang sangat penting guna menghasilkan produk yang berkualitas. Perakitan komponen hendaklah dilakukan secara urut berdasarkan standar yang telah ditentukan oleh perusahaan. Bagi perusahaan yang masih menggunakan proses perakitan secara manual yakni dengan menggunakan tenaga manusia, terkadang terjadi kesalahan dalam proses perakitan, sehingga dapat mempengaruhi kualitas produksi. Agar proses perakitan dapat dilakukan sesuai prosedur, maka diperlukan sebuah sistem yang dapat mendeteksi tangan karyawan ketika melakukan proses perakitan secara otomatis. Penelitian ini mengusulkan sistem pendeteksian tangan karyawan secara real-time berbasis kecerdasan buatan. Sistem ini akan menjadi dasar untuk pengembangan proses perakitan produk industri secara otomatis untuk menyambut industri 4.0. Untuk memverifikasi kinerja sistem, beberapa percobaan dilakukan yaitu mendeteksi tangan kanan dan kiri karyawan serta mendeteksi tangan ketika menggunakan aksesoris atau tidak. Dari hasil percobaan dapat disimpulkan bahwa sistem mampu mendeteksi tangan kanan dan kiri karyawan dengan baik dengan rata-rata FPS yang dihasilkan adalah 15.4.

Unduhan

Data unduhan belum tersedia.

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Diterbitkan

2021-04-30