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Fasa, Nadia
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Analisis Total Productive Maintenance dengan Menggunakan Metode Overall Equipment Efectiveness pada Mesin Injection Molding di PT. DEF Nugroho, Pratama Syadi; Fasa, Nadia
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 1 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/ctqz0r21

Abstract

The application of Total Productive Maintenance (TPM) using the Overall Equipment Effectiveness (OEE) method at PT. DEF, The issue of maintenance has become crucial as it affects not only the reliability of the machines but also the speed and quality of production. This study will explore how the implementation of TPM using the OEE approach can improve machine effectiveness in a production environment, with a focus on timely and optimal maintenance strategies.The research aimed to assess the efficiency and effectiveness of machine operations, particularly injection molding machines, within the company's production line. Through the collection and processing of operational data, it was found that the OEE value for the machines in question ranged from 94% to 95%, surpassing the company's set standard of 93%. The high OEE score reflects effective machine utilization, availability, performance, and quality rates. The research highlights that while the current system meets international standards for machine maintenance, continuous improvements can further optimize machine productivity and reduce downtime. Keywords: Injection, Molding, OEE, TPM
Analysis of MSME Actors' Perception in West Java Toward the Use of Artificial Intelligence (AI) as an Effort to Improve Operational Efficiency Rahma, Rana Ardila; Fasa, Nadia; Gultom, Louisa Paulina Febriana; Azhar, Haniyyah; Putri, Melodi Laora
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.31854

Abstract

This study aims to analyze the perceptions of Micro, Small and Medium Enterprises (MSMEs) in West Java regarding the use of Artificial Intelligence (AI) as an effort to increase operational efficiency. The method used is quantitative research with a survey via questionnaire distributed to 100 MSME players. Data analysis includes descriptive statistics to identify the level of understanding, benefits, barriers, and expectations regarding AI adoption. The research results show that 32% of respondents have used AI, with the majority using it for sales data analysis. As many as 75% of AI users find it easy to operate the technology, and 84% state that the cost of use is relatively affordable. The main obstacle is a lack of understanding of the technology, which has led to low widespread adoption of AI. As many as 52% of respondents expressed interest in taking AI training. This research concludes that although AI provides significant benefits in increasing efficiency, technological literacy and more affordable access are needed to accelerate digital transformation in the MSME sector. Recommendations include developing AI-based training and providing technology solutions that are easier to implement. 
Strategi Mengurangi Produk Defect pada Proses Pencetakan Documents Security dengan Penerapan Six Sigma di PT WCD Sulistiani, Wiwin; Wahyudin, Wahyudin; Fasa, Nadia; Desinta, Mia
Industrika : Jurnal Ilmiah Teknik Industri Vol. 10 No. 2 (2026): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/s5cm2x03

Abstract

PT WCD is a manufacturing company that operates in the Integrated Security Printing and System industry, producing Documents Security as its main product. In the production process, the company still faces several issues related to defective products, which affect production efficiency, quality costs, and customer satisfaction. This study aims to determine the main causes of defects in the Documents Security printing process and to provide suitable improvement suggestions. The method used in this research is Six Sigma with the DMAIC (Define, Measure, Analyze, Improve, Control) stages. Production data and the number of defective products during 2024 were analyzed using several statistical tools, including P-Chart, Pareto Diagram, and Fishbone Diagram. The results show that the most common defects are blobor, stains, and miss register. Based on the data analysis, the average DPMO value is 71,064 with a sigma level of 2.92, which indicates that the current process performance is still below the expected quality standard. Improvement proposals are prepared based on root cause analysis using the 5W + 1H method, along with the implementation of control plans and the use of batch cards to monitor production quality. The use of the DMAIC method in this research proves to be effective in identifying the key factors causing defects and reducing the defect rate, while also helping to improve the efficiency of the production process at PT WCD. Keywords : DMAIC, Defect, Document Security, Six Sigma.
Co-Authors Abdurrohman, Mumun Fadhilah Adi Masliardi Ahmad, Luqmanulhakim Amin, Moh. Rizha Fauzi Azhar, Haniyyah Azizah, Rosidah Bernadeta, Deviana Nauli Dandy, Rachmad Desinta, Mia Edriawati, Natasya Aksani Eva Fauziah Fadhillah, Muhammad Salman Fitriani, Risma Fransisca Debora Gultom, Louisa Paulina Febriana Maspioh, Pipin Nugraha, Billy Nugroho, Pratama Syadi Pratama, Dewa Putri, Melodi Laora Rahma, Rana Adila Rahma, Rana Ardila Septianto, Farras Sugiharto, M. Toto Sugiharto, Muhammad Sulistiani, Wiwin SUMITRA, NAUFAL RABBANI Suntajaya, Hendri Prisaputra Tobing, Doni Ronaldo Lumban Triansyah, Yudha Wahyudin Wahyudin