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Aji Prasetyo, Bahariandi
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Computer Science & IT

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ANALISIS PENGENDALIAN KUALITAS PRODUKSI DEPARTEMEN HIGHSPEED PADA PT VOLEX INDONESIA Simanjuntak, Debora; Aji Prasetyo, Bahariandi
Computer Science and Industrial Engineering Vol 13 No 2 (2025): Comasie Vol 13 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i2.10483

Abstract

Product quality is a crucial factor in maintaining a company's competitiveness in the market. Therefore, production quality control is crucial to ensure each product meets established standards. This study aims to analyze the factors causing product defects and implement solutions to improve quality and reduce rework. The quantitative method used is the Six Sigma approach with the DMAIC (Define, Measure, Analyze, Improve, Control) stages. The results show that the dominant types of defects include pad lifted, solder wire lifted, and solder bending, which contribute significantly to product rejection and rework. Based on Nvidia's 2024 production data with a total output of 900,000 units and a total of 85,487 defects, the DPMO value was obtained at around 333,300, indicating a sigma level in the range of 3, far from the Six Sigma target (3.4 DPMO). Analysis using a fishbone diagram identified the causes of defects originating from human, machine, material, method, measurement, and environmental factors. Problems included a lack of discipline, suboptimal machine conditions, inappropriate raw materials, the absence of written SOPs, and an unsupportive work environment. The implications of these findings form the basis for continuous improvement in the company's quality control system.
ANALISIS PENGENDALIAN KUALITAS PRODUK BATAKO DI UKM CETAK BATAKO SOBIRIN Alfajri, Muhammad; Aji Prasetyo, Bahariandi
Computer Science and Industrial Engineering Vol 13 No 3 (2025): Comasie Vol 13 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i3.10526

Abstract

The increase in the need for building materials must also be accompanied by an increase in the quality of these building materials. One of the building materialsthat is often used in building and housing construction is brick. The purpose of this stury is to determine the results of quality control of brick products using six sigma in reducing product defects in UKM Print Batako Sobirin. Quantitative results of DPMO and Sigma level calculations are carried out in each production year. Furthermore, the process DPMO is obtained in brick production year. Furthermore, the process DPMO is obtained in brik production with an average of 333333 defects. This means that the number of defects that may occur in every million units of poduct is 333333 units. The brick production process is at level 5, namely 1.934 sigma (in the category 233 defects – 233 defects – 6,210 defects). The process carried out still needs to be controlled and improved continuously in order to obtain a decreasing DPMO pattern ad a Sigma level pattern that increases over time to reach level 6 sigma. DMAIC imporvements are focused on the process starting with the preparation of the place, tools, and materials, followed by milling, molding drying, and testing the compressive strength of the bricks. Consequently,during the post-improvement phase (April-June 2025),the defect rate dropped to an average of 5,5%. Therefore,the application of DMAIC in the Sobirin Brick Making SME can be deemed successful in lowering product defect levels,though additional control is needed to reach optimal results.
ANALISIS PENINGKATAN KUALITAS PELAYANAN DAN PENANGANAN KELUHAN NASABAH PT BANK MANDIRI KCP BATM FANINDO Handoko, Prio; Aji Prasetyo, Bahariandi
Computer Science and Industrial Engineering Vol 13 No 4 (2025): Comasie Vol 13 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i4.10549

Abstract

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ANALISIS PENGENDALIAN KUALITAS PRODUKSI PADA PT TESE MANUFACTURING INDONESIA R Simanjuntak, Tommy Joshua; Aji Prasetyo, Bahariandi
Computer Science and Industrial Engineering Vol 13 No 4 (2025): Comasie Vol 13 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i4.10551

Abstract

This study aims to analyze and identify the causes of defective products in SENSOR - SSIC XCKN type lenses and propose quality control improvement efforts at PT TESE Manufacturing Indonesia. The main problem faced by the company is the high rate of rejected products exceeding the company's tolerance limit of 40%, with an average defect rate of 53.32% during the period of April 2024 to March 2025. Data show defect peaks in October 2024 (58,98%) and february 2025 (54,90%), which impact quality degradation, increased production costs, and potential losses. The method used in this research is Lean Six Sigma with the DMAIC (Define, Measure, Analyze, Improve, Control) approach. Through the Define phase, product defect issues are identified. The Measure phase is conducted to collect defect data and calculate the current DPMO (Defects Per Million Opportunities) and sigma level. In the Analyze phase, the root causes of defects will be identified using statistical tools such as Cause and Effect Diagrams and Pareto Charts. The Improve phase will formulate effective improvement solutions to reduce the defect rate. Finally, the Control phase will establish monitoring mechanisms to ensure the sustainability of improvements. After improvements were made, the product defect rate decreased to 38.69% of the established tolerance limit. It is expected that this research can provide concrete solutions to significantly reduce the number of defective products, improve production process efficiency, and help PT TESE Manufacturing Indonesia achieve better quality standards, moving towards a zero defect level and enhancing the company's competitivenes
Co-Authors AlFajri, Muhammad Prio Handoko R Simanjuntak, Tommy Joshua Simanjuntak, Debora