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All Journal JURNAL REKAYASA SISTEM INDUSTRI Jurnal Ilmiah Dinamika Rekayasa
Dwi Handayani
Universitas Hasanuddin
Computer Science & IT Economics, Econometrics & Finance Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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OPTIMALISASI KUALITAS PRODUK AMDK MELALUI PENDEKATAN SIX SIGMA DALAM UPAYA MENURUNKAN CACAT PRODUK Raodah Raodah; Irin Ramdhani; Nurul Ilmi; Erniyani Erniyani; Dwi Handayani
JURNAL REKAYASA SISTEM INDUSTRI Vol 11 No 2 (2026): Mei 2026
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v11i2.11553

Abstract

Product quality is a crucial factor in enhancing the competitiveness of the manufacturing industry, particularly in the Bottled Drinking Water (BDW) industry. This study aims to optimize the quality of bottled drinking water products through the Six Sigma approach in an effort to reduce product defect rates. The method employed is Six Sigma with the DMAIC (Define, Measure, Analyze, Improve, and Control) framework. The data used consist of product defect records collected over a three-month period, including broken bridge defects, tilted caps, standing caps, and overpressure defects. In the measure phase, defect rates, Defects Per Million Opportunities (DPMO), and sigma levels were calculated to evaluate the performance of the production process. The analyze phase revealed that broken bridge defects were the dominant type of defect based on Pareto diagram analysis, making them the primary focus for improvement efforts. Root cause analysis using a cause-and-effect (fishbone) diagram indicated that the main contributing factors originated from machine, method, and human aspects. Furthermore, in the improve phase, several corrective actions were proposed, including machine torque adjustment, operator training, implementation of Standard Operating Procedures (SOPs), and improvement of raw material quality. The control phase was conducted by establishing operational standards and process monitoring systems to ensure the sustainability of improvements. The results demonstrate that the implementation of Six Sigma provides a systematic solution for reducing product defects and continuously improving the quality of bottled drinking water products.
Distribution System Optimization at one of the Food Distributors in Gowa Regency Dwi Handayani; Muhammad Rusman; Kasmiati; Maula Sidi Muhammad; Raodah
Jurnal Ilmiah Dinamika Rekayasa Vol. 21 No. 2 (2025): Jurnal Ilmiah Dinamika Rekayasa - Juli
Publisher : Engineering Faculty, UNSOED

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jidr.2025.21.2.15

Abstract

PT XYZ is a manufacturing company that produces soy sauce, chili sauce, tomato sauce, vinegar and syrup which also acts as a distributor of its products.. Product distribution is carried out through traditional channels by salesmen. However, the determination of salesman visit routes is still based on experience so that it is not optimal in terms of distance, time, and cost. This study aims to develop an algorithm to produce a more efficient salesman visit route at PT XYZ. Data were collected through interviews with the owner and salesmen, then analyzed using tabu search and genetic algorithms with MATLAB software. The results show that both algorithms are able to produce a more optimal route than the existing route. The initial route has a distance of 63.74 km, a travel time of 177 minutes, and a cost of Rp 54,181. The tabu search and genetic algorithms produce a route with a distance of 62.68 km, a travel time of 174 minutes, and a cost of Rp 53,278. Both algorithms provide savings of around 2% compared to the initial route. The superiority of the tabu search algorithm can be seen from the much faster computing time (0.005381 seconds) compared to the genetic algorithm (113.02 seconds), while still finding the optimal solution. This study recommends the use of the tabu search algorithm to optimize salesman visit routes for distribution efficiency at PT XYZ.
Co-Authors Erniyani, Erniyani Irin Ramdhani Kasmiati Maula Sidi Muhammad Muhammad Rusman Nurul Ilmi Raodah Raodah Raodah