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Pengendalian Kapabilitas Proses Produksi Bintang Todjoe di PT. Bintang Todjoe Ramadhanti, Lifia Citra; Rakay Edhiargo Toyosito; Sugiarto, Emaria
JOURNAL INFORMATION TECHNOLOGY ENGINEERING AND SCIENCE Vol 3 No 2 (2024): Maret 2024
Publisher : Universitas Tangerang Raya

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Abstract

PT. Bintang Toedjoe as a company engaged in the manufacturing industry in carrying out its business activities has implemented a production quality control system. The company has even won the ISO 9001 certificate as an acknowledgement that the company has implemented good quality management and in accordance with the applicable quality standard guidelines. Various quality control programs are carried out by the company so that it can produce good products and in accordance with the quality standards set. However, in fact the quality is determined based on the production results theoretically has not reached the specified requirements. As it is known that one of the products of PT. Bintang Todjoe is a traditional medicine, namely Bintang Toedjoe cataches a cold, where this product is a new product released by PT. Bintang Toedjoe. Therefore, a quality control system must be established to ensure that each product produced meets the spesifications set by following standard procedures. One of the quality control programs using statistical quality control, among others, to conduct process capability analysis, namely by testing the normality of the quality parameters of the resulting product and studying the production process capabilities of PT. Bintang Todjoe.
Implementasi Metode Six Sigma DMAIC Untuk Menurunkan Defect Produk Cereal Opak Cipto Suparman; Rakay Edhiargo Toyosito; Lifia Citra Ramadhanti
UNISTEK Vol. 13 No. 1 (2026): Februari - Juli 2026
Publisher : UNIVERSITAS ISLAM SYEKH YUSUF TANGERANG

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Abstract

This study at PT RRC aims to address the high volume of defective opaque cereal products using the Six Sigma (DMAIC) approach, combined with RCA and FMEA. Pareto analysis revealed that tough texture was the most dominant defect, contributing 70% of total defects. The initial process capability was 3.21 Sigma (DPMO 43,400). RCA and FMEA identified the root cause as manual water volume measurement based on the operator's visual estimation (RPN 448). As a solution, a semi-automatic digital flow meter system was installed. Consequently, the defect dropped to 2,575 kg/month, the RPN decreased to 128, and the process capability significantly improved to 4.28 Sigma (DPMO 2,720). This IDR 15,736,000 investment successfully saved the company IDR 329,460,000 per month
Peningkatan Produktivitas Proses Mixing Mie Instan PT XYZ melalui Efisiensi Material Handling dengan Pendekatan Root Cause Analysis (RCA) dan Work Measurement Harry Praditia; Rakay Edhiargo Toyosito; Mochamad Eko Nugroho
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 4 No. 3 (2026): September: JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS (JPTIS)
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v4i3.4790

Abstract

This study aims to improve the productivity of the mixing process at PT XYZ by optimizing the efficiency of the material handling system. Based on production data from October 2025 to March 2026, the average utilization of the mixing machine reached 91.87%, exceeding the company's KPI target of 90% but still leaving an 8.13% gap toward the 100% design capacity. The analysis of downtime data revealed that idling minor stop caused by delays in material supply was the largest contributor, accounting for 60% (180 hours) of the total 300 hours of downtime. To identify the root cause, this study applied a Root Cause Analysis (RCA) approach using a fishbone diagram and the 5 Whys method, while Work Measurement was conducted using the stopwatch time study technique to establish the standard time for material handling activities. The findings indicate that inefficiency was caused by four main factors: the absence of standard work time, non-standardized work methods, poor coordination between operators, and the long distance between the warehouse and the mixing machine. The recommended improvements include implementing a material handling SOP, applying a scheduled material staging system, and using standard time as a reference for operators. The simulation shows that these proposals can reduce waiting time by 90 hours and increase machine utilization to 94.37%. Therefore, productivity improvement can be achieved without investment in new machinery.