PENGEMBANGAN ALAT PENDETEKSI WARNA KAIN FABRIC BERBASIS JST (JARINGAN SYARAF TIRUAN) PADA DIVISI QUALITY INCOMING DI PT. GLOBALINDO INTIMATES

PENGEMBANGAN ALAT PENDETEKSI WARNA KAIN FABRIC BERBASIS JST (JARINGAN SYARAF TIRUAN) PADA DIVISI QUALITY INCOMING DI PT. GLOBALINDO INTIMATES

Authors

  • Oktavia Dwi Ariyani Teknik Industri, Fakultas Teknik; Bahasa Inggris, Fakultas Ilmu Budaya, Universitas Dian Nuswantoro Semarang
  • Noviana Fitriani Teknik Industri, Fakultas Teknik; Bahasa Inggris, Fakultas Ilmu Budaya, Universitas Dian Nuswantoro Semarang
  • Nur Islahudin Teknik Industri, Fakultas Teknik; Bahasa Inggris, Fakultas Ilmu Budaya, Universitas Dian Nuswantoro Semarang
  • Karan Kafa Birobbi Teknik Industri, Fakultas Teknik; Bahasa Inggris, Fakultas Ilmu Budaya, Universitas Dian Nuswantoro Semarang

DOI:

https://doi.org/10.47701/sintech.v4i2.3986

Keywords:

fabric quality incoming, artificial neural network, color detection

Abstract

This study develops a color reader for the incoming quality division of PT. Globalindo Intimates, ensuring the accuracy and consistency of fabric color. Using Artificial Neural Networks and Convolutional Neural Networks, this tool is designed to overcome the limitations of conventional methods, improve the efficiency and effectiveness of quality control, and meet company standards with high precision. Using the Backpropagation method, with the applied network architecture is a multilayer network that uses input with 3 neurons, 2 hidden layers with 5 output layers. Producing a prototype of a color reader.

Keywords : fabric quality incoming, artificial neural network, color detection

References

Iskandar, S., Putra, V. G. V., & Hermansyah, H. (2022). PREDIKSI END BREAKAGE BENANG KAPAS DI MESIN ROTOR SPINNING MENGGUNAKAN PENDEKATAN JARINGAN SARAF TIRUAN. EduFisika: Jurnal Pendidikan Fisika, 7(1), 72–87. https://doi.org/10.59052/edufisika.v7i1.19543

Restiawan, R., & Ula, D. M. (2023). PERAN TEKNOLOGI ARTIFICIAL INTELLIGENCE (AI) TERHADAP PERUBAHAN SOSIAL MASYARAKAT. Open Access, 2(2).

Romadhon, A. S., & Baihaqi, J. R. (2015). Prototipe Alat Pemilah Jeruk Nipis Menggunakan Sensor Warna TCS230. Jurnal Ilmiah Mikrotek, 1(4), 184– 190.

Trilaksono, B. (2022). Six-Sigma pada Industri Garmen di Era Industri 4.0.

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Published

2024-05-02

How to Cite

Ariyani, O. D., Fitriani, N., Islahudin, N., & Birobbi, K. K. (2024). PENGEMBANGAN ALAT PENDETEKSI WARNA KAIN FABRIC BERBASIS JST (JARINGAN SYARAF TIRUAN) PADA DIVISI QUALITY INCOMING DI PT. GLOBALINDO INTIMATES: PENGEMBANGAN ALAT PENDETEKSI WARNA KAIN FABRIC BERBASIS JST (JARINGAN SYARAF TIRUAN) PADA DIVISI QUALITY INCOMING DI PT. GLOBALINDO INTIMATES. Journal Science Innovation and Technology (SINTECH), 4(2), 20–31. https://doi.org/10.47701/sintech.v4i2.3986

Issue

Vol. 4 No. 2 (2024): SCIENCE INNOVATION AND TECHNOLOGY JOURNAL Volume 4 Number 2 tahun 2024

Section

Articles

License

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This work is licensed under a Creative Commons Attribution 4.0 International License.