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ANALISIS PENGENDALIAN KUALITAS PROSES PHOSPHATING PADA PT CITRA TUBINDO TBK Bagas Micola; Arsyad Sumantika
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11063

Abstract

This study discusses quality control analysis in the phosphating process at PT Citra Tubindo Tbk, a manufacturer of Oil Country Tubular Goods (OCTG). The problem identified was the high rate of non-homogeneous defects in the phosphating process, reaching an average of 4.16% from January to August 2025, which exceeded the company's maximum standard of 2%. This research aims to identify the optimal process parameters to minimize defects and improve process stability using the Taguchi Method. The experimental design used an L9 (3^3) Orthogonal Array involving three control factors: solution pH, immersion time, and temperature. Based on the analysis of the Signal-to-Noise (S/N) Ratio and mean response, it was found that the optimal combination of parameters to minimize defects is a solution pH of 38, an immersion time of 10 minutes, and a temperature of 70°C. The implementation of this optimal level combination is expected to reduce process variability and significantly decrease the defect rate, thereby meeting the company's quality standards.
PERANCANGAN SISTEM PENGENDALIAN KUALITAS PROSES DI PT. VISTA MEGA JAYA Dewo Setyo Panegoro; Arsyad Sumantika
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

PT Vista Mega Jaya, a company engaged in the fabrication of industrial, restaurant, and residential equipment, was identified as lacking quality control in the dome device table production process at PT Vista Mega Jaya. Based on the identified key issues, the objective of this study was to utilize the DMAIC method, one of the six sigma concept tools, to improve product quality by identifying the causes of product defects and developing proposed improvement plans. The DMAIC method can be used to reduce product defects occurring in the dome device table production process at PT Vista Mega Jaya. The results of the DMAIC study revealed that the average defect rate from January 2024 to December 2024 was 5.6%, with a sigma value of 2.4%, as the company aims for a defect rate of less than 3%. The largest number of defects occurred in the welding process. The lack of work process guidelines, disorganized workers, and inadequate maintenance led to a high number of defective products, necessitating rework. After implementing the improvement plan within four months, the dome device table production process achieved a sigma value of 3.57 out of 2.4.
ANALISIS PERBAIKAN PROSES PRODUKSI PADA UKM TAHU RONGGOLAWE Novia septrianis; Arsyad Sumantika
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11171

Abstract

Small and Medium Enterprises (SMEs) play a strategic role in the national economy, especially in the food sector such as tofu production. Many food SMEs still face quality issues due to unstandardized production processes, limited sanitation, and weak quality control. This study analyzes and proposes improvements for the tofu production process at UKM Tahu Ronggolawe, Batam City, to enhance product quality and efficiency. Methods include Six Sigma, Good Manufacturing Practices (GMP), and Work Improvement in Small Enterprises (WISE). Data were collected through observation, interviews, and documentation of production and defect data from January to June 2025. Six Sigma analysis shows an average DPMO of 37,864 and an average sigma level of 3.28, indicating moderate process capability with notable defect opportunities. GMP evaluation reveals sanitation, worker hygiene, equipment, production environment, and documentation mostly fall into less compliant or non-compliant categories. WISE assessment indicates work systems, production layout, machine safety, welfare facilities, and organization are poorly structured and lack written SOPs. Proposed improvements include sanitation SOPs, routine employee work rules, better hygiene practices, and gradual optimization of production layout and environment. Integrating Six Sigma, GMP, and WISE is expected to reduce defects, improve product consistency, and achieve a more efficient, hygienic, and sustainable tofu production process.