Pengendalian Kualitas Proses Pengemasan Gula  Dengan Pendekatan Six Sigma

Kusumawati, Aulia; Fitriyeni, Lailatul

doi:10.30656/jsmi.v1i1.173

Cited by 19 publications

(13 citation statements)

References 1 publication

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“…Six Sigma adalah sebuah proses bisnis untuk memperbaiki mutu, mengurangi biaya, dan meningkatkan kepuasan pelanggan [6]. Di dalam penerapan six sigma faktor-faktor penyebab yang mempengaruhi defect pada produk dapat diketahui dengan tujuan mengurangi defect yang terjadi pada saat proses produksi dalam peningkatan kualitas [7].…”

Section: Pendahuluanunclassified

Pengendalian Kualitas Pengelasan Pada Proyek Pipeline Sabar#2

Junianto¹,

Bayhaqi²,

Rahayu³

2020

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PT. ICG is a company that handles the pipeline welding process at PetroChina Jabung Ltd. The welding process carried out is cutting, rolling, pressing and painting. The problem that occurs is that 243 defects are found from the output of 457 welding points. The types of defects after the welding process included 106 points of Root Cancellation defects, 99 points of Incomplete fusion, 29 points of Porosity, 8 points of Slug Inclusion, and 1 point of Tungsten Inclusion. This study aims to control quality by looking at the sigma value of the pipeline production process and analyzing the improvements that should be made to reduce the defects that occur. The results of the calculation of Defect Per Million Opportunities (DPMO) show that the number of welding defects that arise every one million opportunities is 174,10. The quality of the welding process in the pipeline Sabar # 2 project is at a sigma value of 2,43 with a DPMO value of 174,10. From the results of the sigma value obtained, this value is still far from the expectations of Petrochina's management to achieve a minimum sigma value of 4,0. The potential causes of weld defects include welding machines, work errors, work methods and work environment.

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Section: Pendahuluanunclassified

Pengendalian Kualitas Pengelasan Pada Proyek Pipeline Sabar#2

Junianto¹,

Bayhaqi²,

Rahayu³

2020

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“…Pada tahap kedua ini dilakukan pengukuran terhadap performansi sigma dengan tujuan untuk mengetahui tingkat kerja sekarang (baseline kinerja). Baseline kinerja sebagai satuan pengukuran dalam Defects PerMillon Opportunities (DPMO) atau tingkat kapabilitas sigma (Kusumawati, 2017). Implementasi metode six sigma pada tahap measure ini adalah mengukur seberapa besar nilai DPMO yang kemudian dikonversi ke nilai sigma sehingga mengetahui performasi sigma yang ada didalam perusahaan.…”

Section: G Measureunclassified

Analisa Kecacatan Produk Sepatu Kaki Tangga Aluminium Dengan Metode Six Sigma (Studi Kasus Ud. Cp)

2020

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UD. CP is a manufacturing company engaged in the manufacture of household appliances. One of the company's products is aluminum footwear. The problem that often arises in this product is the high defect that occurs in the aluminum footwear product which reaches 5% -6% of total production. The types of defects are hollow, torn, bump, melt, hollow, and melt and hollow. Given these problems, a study was conducted to reduce the percentage of defects in products with the Six Sigma method. Based on the analysis of the DPMO calculation and the company sigma value, the average DPMO value is 8705,201 and the sigma value of 3,8773 shows that the aluminum footwear products are included in the standard quality of the average industry in Indonesia. From these results an analysis of the root causes of disability is carried out using a fishbone diagram that has 5 factors that cause disability, namely humans, methods, materials, machinery, and the environment. After the cause of the disability is known, priority plans for improvement are made. From the results of this FMEA method the priority of the proposed improvement is to provide supervision to the operator, provide training to the operator, increase supervision of production results, Prevent maintenance of the machine, Control the machine correctly. Keywords: Defect, DPMO, Six Sigma Quality Control, FMEA

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“…But the problem is when there is no demand from consumers, it will cause a company to experience losses (Junaidi et al, 2019)[9]. One of the keys to getting consumers is maintaining quality (Kusumawati & Fitriyeni, 2017).…”

Section: Introductionmentioning

confidence: 99%

Sentiment analysis on myindihome user reviews using support vector machine and naïve bayes classifier method

Prasetio

Xavier

Rachmat

et al. 2021

Int. J. Ind. Optim.

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The strength of the company's competitiveness is needed because the current industrial development is very rapid. It is necessary to maintain the quality and quantity of the products produced according to company standards. One of the companies that must maintain the quality and quantity is PT. XYZ is a clay tile company. The classification of products used by this company to maintain good quality is three classes: good tile, white stone tile, and cracked tile. However, quality control based on classification still uses the traditional way by relying on sight. It can increase errors and slow down the process. It can be overcome with artificial visual detectors. It is a result of the rapid development of automation. So to detect defects, this research can use image preprocessing, supervised learning algorithms, and measurement methods. Support Vector Machine (SVM) is used in this study to perform classification, while feature extraction on clay tiles used the Local Binary Pattern (LBP) method. The algorithm is made using python, while for image retrieval, raspberry pi is used. The linear kernel on the SVM algorithm is used in this study. The conclusion in this study obtained 86.95% is the highest accuracy with a linear kernel. It takes 10.625 seconds to classify.

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Pengendalian Kualitas Proses Pengemasan Gula Dengan Pendekatan Six Sigma

Cited by 19 publications

References 1 publication

Pengendalian Kualitas Pengelasan Pada Proyek Pipeline Sabar#2

Pengendalian Kualitas Pengelasan Pada Proyek Pipeline Sabar#2

Analisa Kecacatan Produk Sepatu Kaki Tangga Aluminium Dengan Metode Six Sigma (Studi Kasus Ud. Cp)

Sentiment analysis on myindihome user reviews using support vector machine and naïve bayes classifier method

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