Fazmar, Achmad Farouq (2026) Evaluasi Integrasi Advanced Process Control Dan Process Information Management System Untuk Peningkatan Kinerja Proses Evaporasi Di PT XYZ. Masters thesis, Institut Teknologi Sepuluh November.
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Abstract
Efisiensi energi pada proses evaporasi crude glycerin merupakan aspek penting yang berpengaruh terhadap biaya produksi dan kinerja lingkungan di PT XYZ. Perusahaan telah mengimplementasikan Advanced Process Control (APC) berbasis Model Predictive Control untuk meningkatkan stabilitas dan efisiensi proses. Namun, pemanfaatan APC belum optimal akibat rendahnya utilisasi, fluktuasi kualitas produk, serta keterbatasan sistem monitoring kinerja yang masih bersifat manual. Penelitian ini bertujuan untuk mengidentifikasi akar penyebab penurunan kinerja operasional APC serta mengevaluasi dampak integrasi APC dengan Process Information Management System (PIMS). Metode Fishbone Diagram dan Pareto Diagram digunakan untuk menentukan faktor dominan penyebab permasalahan berdasarkan aspek manusia, metode, mesin, material, dan lingkungan. Data diperoleh dari histori operasional, kuesioner skala Likert 1–7, serta diskusi teknis dengan tim terkait. Hasil penelitian menunjukkan bahwa faktor manusia menjadi penyebab utama penurunan kinerja APC, khususnya rendahnya pemahaman operator dan ketiadaan monitoring real-time terhadap Dashboard KPI yang mencakup aspek kualitas dan utilitas. Integrasi APC–PIMS dan pengembangan Daily Dashboard KPI menghasilkan penurunan ratio steam-to-feed sebesar 0,01Ton steam/ton feed, peningkatan utilisasi APC sebesar 48% menjadi rata-rata 95%, konsistensi kualitas produk, penghematan energi serta penurunan emisi CO2. Penelitian ini membuktikan bahwa integrasi sistem yang dilakukan dan penguatan aspek manajerial berperan signifikan dalam meningkatkan kinerja APC secara berkelanjutan.
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Energy efficiency in the crude glycerine evaporation process is a critical aspect that affects both production costs and environmental performance at PT XYZ. The company has implemented Advanced Process Control (APC) based on Model Predictive Control to improve process stability and efficiency. However, APC utilization has not been optimal due to low utilization rates, fluctuations in product quality, and manually operated performance monitoring systems. This research aims to identify the root causes of declining APC operational performance and to evaluate the impact of integrating APC with a Process Information Management System (PIMS). Fishbone Diagram and Pareto Diagram methods were applied to determine dominant contributing factors across human, method, machine, material, and environmental aspects. Data were obtained from operational historical records, questionnaires using a 1–7 Likert scale, and technical discussions with relevant teams. The results indicate that human factors are the primary cause of reduced APC performance, mainly due to limited operator understanding and the absence of real-time monitoring through a KPI dashboard covering quality and utilization aspects. Integration of APC with PIMS and the development of a daily KPI dashboard resulted in a reduction of the steam-to-feed ratio by 0.01Ton steam/ton feed, an increase in APC utilization by 48% to an average of 95%, improved product quality consistency, enhanced energy savings, and reduced CO₂ emissions. This study demonstrates that system integration and strengthened managerial practices play a significant role in sustaining APC performance improvement.
| Item Type: | Thesis (Masters) |
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| Uncontrolled Keywords: | Evaporasi, Advanced Process Control (APC), Process Information and Management System (PIMS), Fishbone Diagram, Diagram Pareto |
| Subjects: | T Technology > TS Manufactures > TS183 Manufacturing processes. Lean manufacturing. |
| Divisions: | Faculty of Industrial Technology and Systems Engineering (INDSYS) > Industrial Engineering > 26101-(S2) Master Thesis |
| Depositing User: | Achmad Farouq Fazmar |
| Date Deposited: | 13 Jul 2026 00:55 |
| Last Modified: | 13 Jul 2026 00:55 |
| URI: | http://repository.its.ac.id/id/eprint/134737 |
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