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All Journal JAIS (Journal of Applied Intelligent System) Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi The Indonesian Journal of Public Health Jurnal Kesehatan Komunitas Indonesian Journal of Obstetrics and Gynecology (Majalah Obstetri dan Ginekologi Indonesia) JURTEKSI Jurnal IDAMAN (Induk Pemberdayaan Masyarakat Pedesaan) Legalite: Jurnal Perundang Undangan dan Hukum Pidana Islam Jurnal MID-Z (Midwivery Zigot) Jurnal Ilmiah Kebidanan ARTERI : Jurnal Ilmu Kesehatan Journal of Intelligent Decision Support System (IDSS) Jurnal Kebidanan Malakbi SKANIKA: Sistem Komputer dan Teknik Informatika Innovation in Research of Informatics (INNOVATICS) Jurnal Kesehatan Masyarakat Mulawarman (JKMM) Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal ABDIMAS-HIP Pengabdian Kepada Masyarakat Jurnal Teknisi INDRA: Jurnal Pengabdian kepada Masyarakat Shihatuna : Jurnal Pengabdian Kesehatan Masyarakat Indonesian Journal of Community Dedication in Health (IJCDH) Scientific Journal Quality : Jurnal Kesehatan Makara Human Behavior Studies in Asia Jurnal Teknologi dan Mutu Pangan Surya Informatika Jurnal Kesehatan dr. Soebandi Jurnal Inovasi Hasil Pengabdian PANDAWA : Jurnal Pengabdian kepada Masyarakat Sadewa: Jurnal Pengabdian Masyarakat Jurnal Integrasi Sains dan Qur'an (JISQu) Jurnal Teknik Informatika dan Desain Komunikasi Visual
Handayani, Yuni
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Journal : Journal of Intelligent Decision Support System (IDSS)

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Development of optimization formula for Neural Network-Based Automatic Control System in manufacturing industry Handayani, Yuni
Journal of Intelligent Decision Support System (IDSS) Vol 7 No 4 (2024): December: Intelligent Decision Support System
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v7i4.271

Abstract

The manufacturing industry faces great challenges in improving the efficiency and effectiveness of automated control systems. This research aims to develop a neural network-based optimization formula that can overcome the limitations of conventional control methods. The method used in this research is gradient descent optimization applied to an objective function with certain constraints. The results show that this optimization method is effective in achieving the optimal value of ? that is close to the target with high precision, while the control variable ? remains stable throughout the iterations. The implication of this research is the improvement of the reliability and stability of automatic control systems in the manufacturing industry, which has the potential to significantly increase productivity and operational efficiency. Thus, this research makes an important contribution to the field of control system optimization and opens up opportunities for further development with the integration of more sophisticated optimization techniques.
Co-Authors Aeni, Robikhatul Ahmad Azis Rosyidi Ahmad Syaifudin Anggraeni , Ernawati anggraeni, Ernawati Arruhama, Hanif Ashan, Haves Bagus Prindo Sugihartono Putro Boinem, Boinem Damai, Silvia Darnis, Rahmi Dewi, Yashinta Kumala Fachrizal, Yohana Fatahillah, Ikhwan Aulia Fauzi , Fivie Faronita Fernandy, Handy Fitriani, Alifia Hafidz, Ananda Akhmad Hakim, Alvin Rainaldy Handayani, Ririn Hendra Dwi Cahyono Hinayuan Narendra, Hastu Ismail, Abdul Rahman Jemkhairil Kumala D, Yashinta Kustin Kustin Kustin, Kustin Lidiastuti, Riska Maharani, Ridya Kartika Mitra, Efriza Mufti, Muhammad Zainul Muhammad Khozin Noerfadilah, Siti Novitaningrum, Dian Nurul Arifin, Astri Siska Oktaviani, Rizki Pohan, Sry Dhina Pradana, Bagus Aji Puspita Sari, Melati Putri, Meyla Eka Putro, Bagus Prindo Sugihartono Ririn Handayani Riskawati Riskawati, Riskawati sari, asri iman Sari, Melati Puspita Sugiono, Muhamad Ishak Tanggasari, Devi Taufik Hidayat Tiee Teduh, Ratu Ayu Yahya, Ali Yuningsih Yuningsih Yuningsih Yusri Yusri Zalika, Laila Karimatu