scholarly journals ANALISIS PENGENDALIAN KUALITAS PRODUK TELUR AYAM PADA UD AMINA KELURAHAN PETOBO DI KOTA PALU

2020 ◽  
Vol 4 (3) ◽  
pp. 271-280
Author(s):  
Diah Anggraeni Mahid ◽  
Saharuddin Kaseng ◽  
Syamsuddin Syamsuddin
Keyword(s):  
Quality Control ◽  
Egg Production ◽  
Control Process ◽  
Sampling Technique ◽  
Statistical Quality Control ◽  
Analysis Tool ◽  
Control Analysis ◽  
Statistical Quality ◽  
Chicken Egg ◽  
Quality Control Process

This study aims to determine and analyze the quality control of chicken eggs in an effort to control the level of chicken egg disability and whether the level of disability is within the limits of control at UD Amina Palu. Quality control process applied. UD Amina Palu in chicken egg production is using vasninator service provider of medicines. A common defect criteria for chicken egg production in UD Amina is egg crack criteria as much as 209 eggs, of the four criteria, ie cracking, hollow, thin, pale and broken. The method used is descriptive method with census sampling technique where the samples taken as much as the population produced during 25 working days. This research uses product quality control analysis tool based on Statistical Quality Control (SQC) method for attribute data by using Check Sheet and P-chart disability proportion control chart with standard deviation 3. The result of this research shows that the quality control of defect product done by UD Amina The hammer is in a controlled state or is within the limits of control. Penelitian ini bertujuan untuk mengetahui dan menganalisis pengendalian kualitas telur ayam dalam upaya mengendalikan tingkat kecacatan telur ayam dan apakah tingkat kecacatan berada dalam batas pengendalian pada UD Amina Palu. Proses pengendalian kualitas yang diterapkan. UD Amina Palu dalam produksi telur ayam adalah menggunakan jasa vasninator penyedia obat-obatan. Kriteria kecacatan yang sering terjadi pada produksi telur ayam di UD Amina adalah kriteria telur retak sebanyak 209 butir, dari keempat kriteria, yaitu retak, berlubang, tipis, pucat dan pecah. Metode yang digunakan adalah metode deskriptif dengan teknik pengambilan sampel secara sensus dimana sampel yang diambil sebanyak populasi yang dihasilkan selama 25 hari kerja. Penelitian ini menggunakan alat analisis pengendalian kualitas produk berdasarkan metode Statistical Quality Control (SQC) untuk data atribut dengan menggunakan Check Sheet dan peta kendali proporsi kecacatan P-chart dengan standar deviasi 3. Hasil penelitian ini menunjukan bahwa pengendalian kualitas produk cacat yang dilakukan oleh UD Amina Palu dalam keaadaan terkendali atau berada dalam batas pengendalian.

scholarly journals PENERAPAN STATISTICAL QUALITY CONTROL (SQC) PADA PENGENDALIAN MUTU MINYAK TELON (STUDI KASUS DI PT.X)

AGROINTEK ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 72
Author(s):  
Andan Linggar Rucitra ◽  
S Fadiah
Keyword(s):  
Quality Control ◽  
Raw Materials ◽  
Control Process ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
Quality Control Process ◽  
Fishbone Diagram ◽  
Potential Factor ◽  
Measurement Of Success

<p><em>Telon oil is</em><em> one of </em><em> </em><em>the </em><em>traditional medicine in the form of </em><em> </em><em>liquid preparations that serves to provide a sense of warmth to the wearer. PT</em><em>.X</em><em> is one of the companies that produce</em><em> </em><em>telon</em><em> oil</em><em>.</em><em> To maintain</em><em> the quality of telon oil from PT.X</em><em> product</em><em>, required overall quality control that is starting from the quality control of raw materials, quality control process to the quality control of the final product. The purpose of this research is to know the application of Statistical Quality Control (SQC) in controlling the quality of telon oil in PT X. </em><em>F</em><em>inal product</em><em> quality</em><em> become one of the measurement of success of a process, so it needs a good quality control. SQC method used in this research is Pareto Diagram and Cause and Effect Diagram. Pareto diagram is a bar graph </em><em>that </em><em>show the problem based on the order of the number of occurrences of the most number of problems until the least happened. A causal diagram is often called a fishbone diagram, a tool for identifying potential causes of an effect or problem. The result of applying the method indicates that 80% defect is caused by unsuitable volume and on the incompatibility of Expired Date (ED) code. The damage is caused by several factors namely the method, labor, and machine while the most potential factor is the volume conformity to reduce the number of defect products.</em></p>

scholarly journals Analisis Pengendalian Kualitas Menggunakan Bagan Kendali Bivariat dengan Copula pada Industri Manufactur di Indonesia

2020 ◽  
Vol 6 (1) ◽  
pp. 27
Author(s):  
Tika Endah Lestari ◽  
Sri Susilawati Islam
Keyword(s):  
Quality Control ◽  
Distribution Function ◽  
Control Charts ◽  
Control Process ◽  
Simple Random Sampling ◽  
Statistical Quality Control ◽  
Consumer Decision Making ◽  
Manufacturing Companies ◽  
Statistical Quality ◽  
Quality Control Process

Product quality control is an important factor for the industrial world because good quality control and carried out continuously will be able to detect abnormal production results quickly, so that anticipatory action can be taken immediately. Quality is a major factor in consumer decision making before buying goods / services. The problem that occurs at this time in manufacturing companies in Indonesia is how the statistical quality control process can be applied properly. The purpose of this statistical analysis is to find out the statistical quality control process that is applied to manufacturing companies in Indonesia using bivariate control charts with copula. Copula is a function that combines a multivariate distribution function with a uniform one-dimensional marginal distribution function, in this condition the Copula used is the Archimedean Copula group. The method used in this data collection is a simple random sampling with the sample used are three manufacturing companies in Indonesia which covers the areas of Jakarta, Bandung and Makassar. The implementation of Copula in this control chart results in Frank Copula being the best Copula, this supports that the use of Copula in the quality control process has a good role

Statistical Quality Control Process for Traditional Chinese Medicine

2006 ◽  
Vol 16 (6) ◽  
pp. 861-874 ◽  
Author(s):  
Siu-Keung Tse ◽  
Jang-yang Chang ◽  
Wei-Lun Su ◽  
Shein-Chung Chow ◽  
Chao Hsiung ◽  
...  
Keyword(s):  
Quality Control ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Control Process ◽  
Statistical Quality Control ◽  
Statistical Quality ◽  
Quality Control Process

scholarly journals Defining the best quality-control systems by design and inspection

1997 ◽  
Vol 43 (5) ◽  
pp. 873-879 ◽  
Author(s):  
C Martin Hinckley
Keyword(s):  
Quality Control ◽  
Task Complexity ◽  
Process Variation ◽  
Control Process ◽  
Statistical Quality Control ◽  
Cultural Changes ◽  
Statistical Quality ◽  
The Many ◽  
The Cost ◽  
Inspection Techniques

Abstract Not all of the many approaches to quality control are equally effective. Nonconformities in laboratory testing are caused basically by excessive process variation and mistakes. Statistical quality control can effectively control process variation, but it cannot detect or prevent most mistakes. Because mistakes or blunders are frequently the dominant source of nonconformities, we conclude that statistical quality control by itself is not effective. I explore the 100% inspection methods essential for controlling mistakes. Unlike the inspection techniques that Deming described as ineffective, the new “source” inspection methods can detect mistakes and enable corrections before nonconformities are generated, achieving the highest degree of quality at a fraction of the cost of traditional methods. Key relationships between task complexity and nonconformity rates are also described, along with cultural changes that are essential for implementing the best quality-control practices.

scholarly journals PRODUCT QUALITY CONTROL ANALYSIS USING STATISTICAL QUALITY CONTROL (SQC) ON MARINE WORKS IN BUSINESS AMPLANG SAMARINDA

2020 ◽  
Vol 6 (1) ◽  
pp. 70-77
Author(s):  
Silvia Maulida Arianti ◽  
Emy Rahmawati ◽  
RR Yulianti Prihatiningrum
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Control Charts ◽  
Quantitative Research ◽  
Quantitative Methods ◽  
Control Measures ◽  
Control Limit ◽  
Statistical Quality Control ◽  
Control Analysis ◽  
Statistical Quality

Purpose of the study: The objectives of this study are: (i) To analyze the quality control of the products applied to the amplang Karya Bahari business based on Statistical Quality Control (SQC) tools, (ii) To find out and analyze what factors cause product damage/disability amplang work at the Maritime business in Samarinda. Methodology: This research uses quantitative methods discretionary quantitative research method that is research that is used to Investigate, find, describe, and explain the quality or features of social influences that can’t be explained or Described measured through a quantitative approach. The operational definitions of this research are (i) Quality control processes, (ii) Quality control measures. Types and sources of the data the primary use of data Obtained directly from the object of research. Data collection techniques are (i) observation, (ii) interviews, (iii) documentation, (iv) laboratory tests. Analysis of the Data used are: (i) collecting the data (check sheet), (ii) a histogram, (iii) making control charts, (iv) the causal diagrams, (v) the proposed improvements. Main Findings:  The results of the study suggest that Maritime work is applied to the already on the limit of control. It can be seen at chart, upper control limit (UCL) of 1 and the lower control limit (LCL) of 0.3362 under controlled conditions or reasonable limits, but in reality, they are experiencing product damage or defect in the production of amplang processing. Novelty/Originality of this study: This study is expected to be an additional reference for studies in the field production related to analysis quality control (quality control) and product quality by using Statistics Quality Control. This study is expected to provide information for the company about procedure control in keeping a quality product that will be produced.

scholarly journals Integration of Statistical Quality Control (SQC) and Fault Tree Analysis (FTA) in the quality control of resina colophonium production in Company X

2021 ◽  
Vol 924 (1) ◽  
pp. 012062
Author(s):  
A L Rucitra ◽  
A U F Amna
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Control Method ◽  
Fault Tree ◽  
Fault Tree Analysis ◽  
Statistical Quality Control ◽  
Control Analysis ◽  
Tree Analysis ◽  
Statistical Quality ◽  
A Value

Abstract Resina colophonium is a product that is produced from the processing of pine sap. This product is widely used for adhesives, additives for beauty products and mixtures of paints and varnishes. One of the companies engaged in the production of resina colophonium is Company X. Production process is an important aspect of the company, so any problems must be avoided to eliminate product defects. One way that can be done to avoid problems in the production process is to carry out proper quality control. The purpose of this study was to analyze the quality control of the production process at Company X. The quality control method used is the integration of the Statistical Quality Control (SQC) method to determine the frequency of problems and Fault Tree Analysis (FTA) to complete identification by looking for the causes of these problems so that problem did not repeat. Based on the results of the quality control analysis, it is found that the most serious problem that affects the quality of the production process lies in the labor aspect with a value number is 38.46% and the root of the potential cause is the number of workers who are not following the current work.

scholarly journals PENGENDALIAN KUALITAS DENGAN MENGGUNAKAN METODE STATISTICAL QUALITY CONTROL (SQC) UNTUK MEMINIMUMKAN PRODUK GAGAL PADA TOKO ROTI BAROKAH BAKERY

2017 ◽  
Vol 7 (1) ◽  
pp. 15-22 ◽  
Author(s):  
Muhammad Syarif Hidayatullah Elmas
Keyword(s):  
Quality Control ◽  
Human Factors ◽  
Control Chart ◽  
Control Charts ◽  
Field Research ◽  
Statistical Quality Control ◽  
Analysis Tool ◽  
Statistical Quality ◽  
Cause And Effect ◽  
Library Research

Quality Control is an activity (company management) to maintain and navigate to product quality (and) services companies can be maintained as planned. Quality Control used the company to minimize failed products using methods of Statistical Quality Control (SQC) so that the company can meet the quality products that have been specified businesses and consumers are satisfied in consuming the product. The purpose of that will be achieved in this research is to determine the method of Statistical Quality Control (SQC) with tekhnik control chart and diagram of cause and effect applied the company Bakery Barokah Bakery in quality control to minimize the product failed. Tekhnik data collection that is used is a library research and field research, while data analysis tool  that  is  used control  chart and  diagram  of  cause  and  effect. The  results  of  the  analysis  of control charts shows that the number of products that are examined as much as 27.710 units, the average of 0,099 product damage or 9.9%. Limitations: UCL supervision of 0,1161 or 11.61%, LCL of 0,0819 or 8,12%. Quality control on  the Bakery Barokah Bakery is  good because the  number of failed products are  still within the boundaries of fair is located between UCL and LCL. While the results from the diagram for result (fish bones), the main factor the causes of the failure of the products of bread in the Bakery Barokah Bakery namely human factors. Where people fail in the making of the bread products. So required training to minimize failed products that occurred caused by human factors.

scholarly journals ANALISIS PENGENDALIAN KUALITAS PRODUK KORAN PADA PT. RADAR SULTENG MEMBANGUN DI KOTA PALU

2020 ◽  
Vol 5 (3) ◽  
pp. 287-297
Author(s):  
Zahro’in Nitafiyah ◽  
Saharuddin Kaseng ◽  
Syamsuddin Syamsuddin
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Control Chart ◽  
Control Process ◽  
Control Analysis ◽  
Statistical Tools ◽  
Product Quality Control ◽  
Quality Control Analysis ◽  
Quality Control Process ◽  
Quality Control Chart

This study aims to determine how the implementation of quality control using statistical aids is useful in an effort to control the level of product damage in the company. Quality control analysis is carried out using statistical tools in the form of check sheets and p control maps. Check sheets are used to present data to make it easier to understand data for the purposes of subsequent analysis. P control maps are used to monitor damaged products whether they are still in control or not. The results of the P control chart analysis show that the process has been carried out well. This can be seen in the final product quality control chart with the final number of CL values showing 0.0049, UCL 0.0091, LCL 0.0007 with a proportion of 0.0050 defects which means that the quality control process is within controlled limits because the value of the defect proportion is smaller than the UCL value. Penelitian ini bertujuan untuk mengetahui bagaimana pelaksanaan pengendalian kualitas menggunakan alat bantu statistik bermanfaat dalam upaya mengendalikan tingkat kerusakan produk di perusahaan. Analisis pengendalian kualitas dilakukan menggunakan alat bantu statistik berupa check sheet dan peta kendali p. Check sheet digunakan untuk menyajikan data agar memudahkan dalam memahami data untuk keperluan analisis selanjutnya. Peta kendali p digunakan untuk memonitor produk yang rusak apakah masih berada dalam kendali atau tidak. Hasil analisis peta kendali p menunjukkan bahwa proses sudah terlaksana dengan baik. Hal ini dapat dilihat pada grafik kendali kualitas produk akhir dengan jumlah akhir nilai CL menunjukkan 0.0049, UCL 0.0091, LCL 0.0007 dengan proporsi cacat 0.0050 yang berarti proses pengendalian kualitas berada dalam batas terkendali karena nilai proporsi cacat lebih kecil dari nilai UCL.

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