Pendampingan dan Pelatihan Operasional Mill Station Smart Distributed Control Sytem di PG Prima Alam Gemilang
DOI:
https://doi.org/10.59025/90zykj35Keywords:
Smart Mill System, Pendampingan Operator, Distrubuted Control System, Pabrik GulaAbstract
Pabrik Gula Prima Alam Gemilang telah mengadopsi teknologi Smart Distrubuted Control Sytem berbasis Smart Mill System untuk meningkatkan stabilitas proses, keandalan peralatan, dan optimalisasi ekstraksi nira. Namun, kompleksitas sistem menimbulkan tantangan berupa belum meratanya kompetensi operator dalam memahami prosedur operasional, sistem interlock, pengaturan parameter, serta penanganan gangguan. Kegiatan pendampingan ini dilakukan sebagai upaya peningkatan kapasitas sumber daya manusia agar mampu mengoperasikan sistem secara efektif dan sesuai standar operasional prosedur. Tujuan kegiatan adalah memastikan keseragaman kemampuan operator, meningkatkan pemahaman terhadap fitur sistem, serta meminimalkan potensi gangguan proses giling. Metode yang digunakan meliputi penyusunan materi berbasis buku manual, pemaparan materi di kelas, praktik langsung di lapangan, observasi kinerja, serta pemberian umpan balik. Hasil pendampingan menunjukkan peningkatan kompetensi operator dalam menjalankan operasional mesin secara mandiri sesuai SOP. Indikator keberhasilan terlihat dari ketepatan pengaturan parameter dan kemampuan identifikasi gangguan yang kini dilakukan tanpa kesalahan prosedur, sesuai dengan standar instruction manual perusahaan. Secara keseluruhan, pendampingan ini berkontribusi terhadap peningkatan kesiapan operasional dan mendukung keberlangsungan proses produksi yang lebih stabil dan efisien. Kedepannya metode pelatihan sejenis dapat dilakukan secara internal berbasis metode peer teaching dan problem based learning.
References
D. Syahfitri, E. Nurhadi, and I. T. Amir, “Bisnis Model Kanvas Pada PT. Pabrik Gula Candi Baru Sidoarjo Jawa Timur,” J. Indones. Agribus, vol. 10, no. 1, pp. 63–75, Jun. 2022, doi: 10.29244/jai.2022.10.1.63-75. DOI: https://doi.org/10.29244/jai.2022.10.1.63-75
Y. H. Saputra, “PERSPEKTIF KETERSEDIAAN GULA DOMESTIK DAN SWASEMBADA GULA NASIONAL Perspective of Domestic Sugar Availability and National Sugar Self-sufficiency,” Perspektif, vol. 19, no. 1, pp. 63–78, 2020, doi: 10.21082/PSP.V19N1.2020.63-78.
W. R. Susila and B. M. Sinaga, “Analisis Kebijakan Industri Gula Indonesia,” Journal of Agricultural Education, vol. 23, no. 1, pp. 30–53, Sep. 2016, doi: 10.21082/JAE.V23N1.2005.30-53. DOI: https://doi.org/10.21082/jae.v23n1.2005.30-53
P. T. Seta and K. D. Hartomo, “Mapping Land Suitability for Sugar Cane Production Using K-means Algorithm with Leaflets Library to Support Food Sovereignty in Central Java,” khif, vol. 6, no. 1, pp. 15–25, Apr. 2020, doi: 10.23917/khif.v6i1.9027. DOI: https://doi.org/10.23917/khif.v6i1.9027
E. Johnson, H. Jusril, L. Pratiwi, S. Trisnasari, A. M. Thow, and C. N. Rachmi, “Looking towards the sweet, sweet future: a political economy analysis of sugar and nutrition policy in Indonesia,” Public Health Nutrition, vol. 28, no. 1, 2025, doi: 10.1017/s1368980025100566. DOI: https://doi.org/10.1017/S1368980025100566
D. Hou, P. Xiang, C. Huang, Y. Zhu, X. Yao, and S. Chen, “Construction and research: An automation control system of sugarcane balanced crushing,” in 2015 Sixth International Conference on Intelligent Control and Information Processing (ICICIP), Nov. 2015, pp. 480–484. doi: 10.1109/ICICIP.2015.7388219. DOI: https://doi.org/10.1109/ICICIP.2015.7388219
R. A. Surya, L. D. Fathimahhayati, and F. D. Sitania, “ANALISIS PENGARUH SHIFT KERJA TERHADAP BEBAN KERJA MENTAL PADA OPERATOR DISTRIBUTED CONTROL SYSTEM (DCS) DENGAN METODE NASA-TAKS LOAD INDEX (TLX) (Studi Kasus: PT. Cahaya Fajar Kaltim),” Matrik : Jurnal Manajemen dan Teknik Industri Produksi, vol. 19, no. 1, pp. 63–76, Oct. 2018, doi: 10.30587/matrik.v19i1.510. DOI: https://doi.org/10.30587/matrik.v19i1.510
M. F. R. Setiawan, E. Endryansyah, S. I. Haryudo, and A. I. Agung, “Optimasi Sistem Monitoring Penghitung Produk Gula dengan Menggunakan SCADA Berbasis Distributed Control System (DCS),” JURNAL TEKNIK ELEKTRO, vol. 11, no. 3, pp. 463–470, Sep. 2022, doi: 10.26740/jte.v11n3.p463-470. DOI: https://doi.org/10.26740/jte.v11n3.p463-470
A. Iqbal and A. Nurahmawati, “PENAMBAHAN PROGRAM INTERLOCK DARI SENSOR VIBRASI KE DISTRIBUTED CONTROL SYSTEM CEMENT MILL TUBAN PLANT SEBAGAI SAFETY DEVICEIndonesia,” Rekayasa Sistem Energi dan Manufaktur (ReSEM), vol. 3, pp. 148–157, Mar. 2025, doi: 10.30651/resem.v3i1.21908. DOI: https://doi.org/10.30651/resem.v3i1.21908
R. Benotsmane, A. Mohammed, M. Al-Jaal, A. Obaidi, and K. Stoyanova, “Machine Learning-Based Predictive Maintenance for Flow Instrumentation in DCS and SCADA Systems,” May 2025, pp. 1–6. doi: 10.1109/ICCC65605.2025.11022817. DOI: https://doi.org/10.1109/ICCC65605.2025.11022817
D. Zhen, D. Li, G. Feng, H. Zhang, and F. Gu, “Rolling bearing fault diagnosis based on VMD reconstruction and DCS demodulation,” International Journal of Hydromechatronics, vol. 5, no. 3, pp. 205–225, Aug. 2022, doi: 10.1504/ijhm.2022.125092. DOI: https://doi.org/10.1504/IJHM.2022.125092
P. Guiming, L. Linfu, L. Liqiang, C. Huaping, and W. Xiaohong, “Intelligent vertical mill control system based on distributed control system (DCS),” 2017
F. O. Onyekwe, O. Odujobi, F. E. Adikwu, and T. Y. Elete, “Advancements in the integration and optimization of control systems: Overcoming challenges in DCS, SIS, and PLC deployments for refinery automation,” Open access research journal of multidisciplinary studies, vol. 4, no. 2, pp. 094–101, Dec. 2022, doi: 10.53022/oarjms.2022.4.2.0095. DOI: https://doi.org/10.53022/oarjms.2022.4.2.0095
P. Swuste, J. Theunissen, P. Schmitz, G. Reniers, G. Reniers, and P. Blokland, “Process safety indicators, a review of literature,” Journal of Loss Prevention in The Process Industries, vol. 40, pp. 162–173, 2016, doi: 10.1016/J.JLP.2015.12.020. DOI: https://doi.org/10.1016/j.jlp.2015.12.020
D. Selisteanu, M. Roman, D. Sendrescu, E. Petre, and B. Popa, “A distributed control system for processes in food industry: Architecture and implementation,” in SciSpace - Paper, IEEE, May 2018, pp. 128–133. doi: 10.1109/CARPATHIANCC.2018.8399615. DOI: https://doi.org/10.1109/CarpathianCC.2018.8399615
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