scholarly journals Pengendalian Kualitas Kemasan Plastik Pouch Menggunakan Statistical Procces Control (SPC) di PT Incasi Raya Padang

2016 ◽  
Vol 13 (1) ◽  
pp. 518 ◽  
Author(s):  
Rendy Kaban
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Edible Oils ◽  
Plastic Material ◽  
Statistical Processing ◽  
Secondary Data ◽  
Causal Diagram ◽  
Processing Control ◽  
Control Limits

PT Incasi Raya is one of the major companies in Indonesia which produce edible oils. One of the stages in the production activities are packaging products. Used packaging made of plastic material, with the capacity and different type. Plastic pouch is one of the few types of packaging used in the packaging of edible oils. Quality packaging affects the distribution of production to the consumer. If the packaging is damaged, then the product can not be distributed to consumers. Therefore, the quality of the packaging must be kept for the successful marketing of the product. One way to implement a quality control methods Statistical Processing Control (SPC). The data used in this study is a secondary data provided by the company. Data collected is the number of production reject every month in packaging activities. The data processing of the data collection that is making control map p. The results of data processing show that many reject the production of packaging that are outside the control limits. Data that are outside the control limits indicates there is a problem in the quality control of the company. Of all types of packaging, only one or two months of production reject packs that are in the control limits. This suggests that the dominant packaging reject each month of production is outside the control limits. Reject the production was analyzed using a causal diagram. Factors influencing the presence reject packaging production is based on the analysis of human, machine, environment, materials, and methods within the company. After analyzing of the causal diagram, the data is revision. Making a map of the proposed p controls the data that has been revised is the end result of the data processing is done. Quality control companies are advised to be on the boundary control such as control map p recommended.Keyword : Reject Production, Packaging, Control Limits, Plastik, Edible OilsAbstrakPT Incasi Raya merupakan salah satu perusahaan besar di Indonesia yang memproduksi minyak goreng. Salah satu hal tahapan dalam kegiatan produksinya adalah pengemasan produk. Kemasan yang digunakan terbuat dari bahan plastik, dengan kapasitas dan jenis yang berbeda-beda. Plastik pouch merupakan salah satu dari beberapa jenis kemasan yang digunakan dalam pengemasan minyak goreng. Kualitas kemasan sangat berpengaruh terhadap pendistribusian hasil produksi kepada konsumen. Apabila kemasan mengalami kerusakan, maka produk tersebut tidak dapat didistribusikan kepada konsumen. Oleh karena itu, kualitas dari kemasan harus dijaga untuk keberhasilan pemasaran produk. Salah satu cara pengendalian kualitas menerapkan metode Statistical Processing Control (SPC). Data yang digunakan pada penelitian ini adalah data sekunder yang diberikan oleh perusahaan. Data yang dikumpulkan adalah jumlah reject produksi setiap bulan dalam kegiatan pengemasan. Pengolahan data dilakukan dari pengumpulan data yaitu pembuatan peta kontrol p. Hasil pengolahan data menunjukkan bahwa banyak kemasan reject produksi yang berada diluar batas kontrol. Data yang berada diluar batas kontrol menandakan terdapat masalah pada pengendalian kualitas perusahaan. Dari semua jenis kemasan, hanya satu atau dua bulan saja jumlah kemasan reject produksi yang berada dalam batas kontrol. Hal ini menunjukkan bahwa dominan tiap bulannya kemasan reject produksi berada diluar batas kontrol. Terjadinya reject produksi dianalisis menggunakan diagram sebab akibat. Faktorfaktor yang mempengaruhi adanya kemasan reject produksi berdasarkan analisis adalah manusia, mesin, lingkungan, material, dan metode dalam perusahaan. Setelah dilakukan analisis dengan diagram sebab akibat, dilakukan revisi data. Pembuatan peta kontrol p usulan dari data yang telah direvisi merupakan hasil akhir dari pengolahan data yang dilakukan. Pengendalian kualitas perusahaan disarankan berada pada batas kendali seperti peta kontrol p usulan.Kata Kunci : Reject Produksi, Kemasan, Batas Kontrol, Plastik, Minyak Goreng

scholarly journals PERENCANAAN PERBAIKAN MUTU PRODUK DENGAN METODE KAIZEN PADA PERUSAHAAN

2017 ◽  
Author(s):  
Abdurrozzaq Hasibuan
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Animal Feed ◽  
Raw Materials ◽  
Continuous Process ◽  
Ash Content ◽  
Water Levels ◽  
Output Stage ◽  
Control Limits

Kaizen is a Japanese concept that means improvement continuous process to constantly improve the quality and productivity output. Stage of the data processing is done in this study using seven quality control tools (seven tools). From the results of the data processing is done by using the seven tools of quality control so visible damage that occurs feed the ash High temperatures, low water levels and the color is not uniform feed. Histogram and Pareto diagram showing the greatest amount of damage to small, the color is not uniform feed as many as 6800 Kg (41.34%), high ash content as much as 5050 Kg (30.70%) and low water levels as much as 4600 Kg (27.96%).Based on a causal diagram can be seen several causes defects in animal feed products C-281 human factors, among others, due to lack of skill or abilities of the workers themselves, less rigorous labor in performing measurements so the size does not match the required specifications. And factors that usually raw materials can cause defects in animal feed products C-281 is due to the quality of the raw materials are not in accordance with the standards set by the previous company. From the calculation of the map control is obtained that no data which are beyond the control chart or no data outside the control limits.

scholarly journals Penerapan Metode Statistical Processing Control Untuk Menganalisis Pengendalian Kualitas Produk pada PT. Asera Tirta Posidonia

2018 ◽  
Author(s):  
DIDIHARYONO
Keyword(s):  
Quality Control ◽  
Quality Improvement ◽  
Quantitative Research ◽  
Raw Materials ◽  
Statistical Processing ◽  
Secondary Data ◽  
Control Limit ◽  
Quality Product ◽  
Fishbone Diagram ◽  
Processing Control

AbstractThis study aimed to analyze the application of Statistical Processing Control (SPC) methods in quality control an effort to reduce the number of defect products and identify of factors are causing the defect products manufactured by PT. Asera Tirta Posidonia. This research is a quantitative research with secondary data. Step analysis of the data using the SPC, namely (1) to collect data on production and the defect product (check sheet). (2) Make a histogram, (3) make a graph control u (u-chart). (4) Finding the causes of damage / disability by cause-effect diagram, and (5) make recommendations quality improvement. This research can be concluded with a look at the graph of control u (u-chart), which states that the quality product are beyond the control limit (statistics out control). It shows there are still points that are outside the control limit that an indication the process is in a state still experiencing irregularities. Analysis results of Fishbone diagram can be known factors causing damage in the process of production, which is derived from the factor workers, production machinery, work methods, materials / raw materials and environment. Therefore, all the causes of the damage can be fixed or prevention as early as possible in order to avoid greater damage.

Specification-Based Modified Control Limits in Quality Control of Trace Chemical Analyses

1992 ◽  
Vol 75 (1) ◽  
pp. 39-45
Author(s):  
C L Grant ◽  
I E Mcgee ◽  
T F Jenkins ◽  
M H Stutz
Keyword(s):  
Quality Control ◽  
Data Quality ◽  
Chemical Analyses ◽  
Percent Recovery ◽  
Total Variability ◽  
Standard Deviations ◽  
Control Limits

Abstract Shewhart X and R charts were used to maintain and validate data quality of percent recovery estimates for 8 analytes determined by 4 procedures used routinely in 4 commercial laboratories over a 2-year period. However, because range (R) estimates of uncertainty did not Include lot-to-lot calibration variability, approximately 24% of the lots were "out-of-control." We extracted pooled standard deviations for So (repeatability within lot), SL (calibration variability), and SR (reproducibility), which represents the total variability. Values of So and SL were generally similar In size although there were some substantial differences between analytes and between laboratories for a given analyte. When control limits were based on reproducibility rather than repeatability, only about 6% of the lots were "out-of-control." However, these limits are less convenient to compute at the bench, wlthln-lot precision estimates are still required, and there Is still no Information on data acceptability. Capability estimates from the grand mean ±3 SR were surprisingly consistent for the 8 analytes. These values coupled with data quality objectives suggested the 82-115% range as the specifications for acceptable individual recoveries. A combination of repeatability limits plus modified limits anchored to specifications retains the simplicity of range computations while offering substantial administrative advantages. Examples are given to illustrate these points.

scholarly journals PEMETAAN POTENSI BIOGAS DAN PUPUK DARI KOTORAN SAPI UNTUK MENDUKUNG WISATA PAMELO DI DESA BAGENG KECAMATAN GEMBONG KABUPATEN PATI

2018 ◽  
Vol 11 (2) ◽  
pp. 103-112
Author(s):  
Hermain Teguh Prayitno
Keyword(s):  
Data Processing ◽  
Environmental Pollution ◽  
Satellite Images ◽  
Public Information ◽  
Secondary Data ◽  
Google Earth ◽  
Primary Data ◽  
Energy Needs ◽  
Map Data

ENGLISHBageng village is a village which has pummelo plant and the highest number of cattle in Gembong Subdistrict. Therefore, this area known as the Pummelo Tourism Village. High number of cattle not followed by good handling of cow waste so that in some areas experience the environmental pollution. To reach the better pummelo tourism village, it necessary to improve the quality of the environment. One of the way is by mapping the potential of biogas from cow waste. This study aims to: 1) describe the condition of cattle in Bageng village; 2) mapping the potential of biogas and manure from cow waste for development of Pummelo. This research is exploratory. The primary data required includes cage density, number of cattle, the amount of pummelo and public information obtained from the questionnaire. Secondary data were obtained from village and subdistrict monograph. Data processing is also reinforced with satellite images of google earth, the google MAP data. The results showed that : 1) The number of cattle counted 508-720 head with 8.7 tons of cow waste/day; 2) The largest biogas potency contained in Rubiyah hamlet Bageng village. From this research are expected the use of cow waste as biogas to meet the energy needs of the communities as well as to meet the needs of Pummelo plant manure. INDONESIADesa Bageng merupakan desa yang memiliki tanaman jeruk pamelo dan jumlah ternak sapi tertinggi di Kecamatan Gembong. Oleh karenanya, daerah ini dikenal sebagai Desa Wisata Pamelo. Jumlah ternak sapi yang tinggi tidak diikuti dengan penanganan kotoran sapi yang baik sehingga di beberapa daerah mengalami pencemaran lingkungan. Untuk menuju Desa Wisata Pamelo yang lebih baik, diperlukan adanya peningkatan kualitas lingkungan. Salah satunya dengan cara pemetaan potensi biogas dari kotoran sapi. Penelitian ini bertujuan untuk: 1) menggambarkan kondisi ternak sapi Desa Bageng; 2) memetakan potensi biogas dan pupuk dari pemanfaatan kotoran sapi untuk perkembangan Jeruk Pamelo. Penelitian ini merupakan penelitian eksploratif. Data primer yang dibutuhkan meliputi kerapatan kandang, jumlah ternak, jumlah jeruk pamelo dan informasi masyarakat yang diperoleh dari kuesioner. Data sekunder diperoleh dari Monografi Desa dan Kecamatan. Pengolahan data juga diperkuat dengan foto citra satelit google earth, data google MAP. Hasil penelitian ini menunjukkan bahwa: 1) Jumlah ternak sapi terhitung 508 – 720 ekor dengan 8,7 ton kotoran sapi /hari; 2) Potensi biogas terbesar terdapat di Dukuh Rubiyah Desa Bageng. Dari penelitian ini diharapkan adanya pemanfaatan kotoran sapi sebagai biogas untuk mencukupi kebutuhan masyarakat akan energi sekaligus untuk memenuhi kebutuhan pupuk tanaman Jeruk Pamelo.

scholarly journals PENGENDALIAN KUALITAS PRODUK NPK PHONSKA DENGAN METODE STATISTICAL PROCESSING CONTROL PADA UNIT PRODUKSI 2A PT. PETROKIMIA GRESIK.

MANAJERIAL ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 75
Author(s):  
Abdurrahman Faris Indriya Himawan ◽  
Muhammad Abidhin Al Habtsi
Keyword(s):  
Quality Control ◽  
Data Analysis ◽  
Data Collection ◽  
Control Method ◽  
Statistical Processing ◽  
Study Data ◽  
Analysis Techniques ◽  
Npk Fertilizer ◽  
Processing Control

This study aims to determine the quality control of Phonska NPK fertilizer using Statistical Processing Control method. Statistical Processing Control to analyze and identify quality deviations in Phonska NPK products. There were five people in this study. Data collection techniques using observation, interviews and documentation. Data analysis techniques using Statistical Processing Control. PT. Petrokimia Gresik has Phonska NPK fertilizer products whose production has deviations but can be overcome using the SPC method (Statistical Processing Control).

scholarly journals Quality Control of Raw Materials on Red Snapper (Lutjanus sp.) Freezing Process in PT. Tridaya Jaya Manunggal Pasuruan East Java

2021 ◽  
Vol 10 (2) ◽  
pp. 85
Author(s):  
Winona Valeria Siregar ◽  
M. Nur Ghoyatul Amin
Keyword(s):  
Quality Control ◽  
Production Process ◽  
Raw Materials ◽  
Secondary Data ◽  
Red Snapper ◽  
Second Grade ◽  
Freezing Process ◽  
Market Values ◽  
Control Procedures

Red snappers are fishery commodities which have high market values. Raw materials of red snappers are important elements which determine the quality of the final products. Therefore, an enhancement of raw materials quality should be conducted through quality supervision and examination when the raw materials are retrieved, stored, and about to enter production process. The aim of this fieldwork practice is to find out the raw materials quality control on red snapper freezing process in PT. Tridaya Jaya Manunggal Pasuruan, East Java. The data taken consists of primary and secondary data which are processed descriptively. Data collection techniques through observation, interviews, active participation and literature review. PT. Tridaya Jaya Manunggal has implemented quality control on production process, starting from raw materials retrieval until these raw materials become final products. The quality control of raw red snappers were done in accordance with the quality control procedures which are plan, do, check, and action. The results of implementing quality control which were executed with organoleptic examination, temperature, Total Volatile Base (TVB), microbiology, and heavy metals on raw red snappers. Raw materials which didn’t meet the required standard were rejected, and then they were processed to be second grade products.

scholarly journals Usulan Perbaikan Kualitas Proses Produksi Wafer Abon dengan Metode Six Sigma

2017 ◽  
Vol 10 (1) ◽  
Author(s):  
Riyan Riyan ◽  
Heksa Bekti Ariyono
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Six Sigma ◽  
System Approach ◽  
Food Industry ◽  
Sigma Level ◽  
Pressing Process ◽  
Fishbone Diagram ◽  
Snack Products

<p>This paper discusses a conducted research in the food industry with a variety of snack products such as bread, cream wafers, cookies, wafer sticks, chocolate, and dry cake. The company should always improve the quality of processes and products according to customer demands. Six Sigma method is expected to improve the quality of process and product in the company. Six Sigma is a quality system approach to be used in the industrialization function engaged in the manufacturing and services sectors. Generally, six sigma strategy utilizes DMAIC approach (Define-Measure-Analyze-Improve-Control). This research focused on product wafers abon, because it contributed a large number of defects. Moreover, this paper discusses two main processes:1. oven and cooling sheet process, 2. creaming and pressing process. The improvement is focused in the creaming and pressing process, because it presents 65% of defects. Based on the obtained data processing, COPQ for 1 month is Rp. 65,473,200, - and there are 3 priority CTQ’s in the issues, Pasta Tidak Rata (53.68%), Crashed Edge (16.29%), and Crack (16.12%). Results of capability process are 91.51% and sigma level of wafer abon product is 3.647628 sigma. An analysis has been done by brainstorming to find the cause of the defect and then arranged in a fishbone diagram and five why’s diagram. Proposed improvements including to create specification given standards for setup oven and creaming machine.</p><p>Keyword: Quality Control, Six Sigma, DMAIC</p>

scholarly journals QUALITY ANALYSIS OF 3D SURFACE RECONSTRUCTION USING MULTI-PLATFORM PHOTOGRAMMETRIC SYSTEMS

2016 ◽  
Vol XLI-B3 ◽  
pp. 57-64
Author(s):  
Z. Lari ◽  
N. El-Sheimy
Keyword(s):  
Quality Control ◽  
Data Processing ◽  
Quality Assessment ◽  
Surface Reconstruction ◽  
Digital Imaging ◽  
Control Procedure ◽  
3D Surface Reconstruction ◽  
Quality Control Procedure ◽  
3D Surface

In recent years, the necessity of accurate 3D surface reconstruction has been more pronounced for a wide range of mapping, modelling, and monitoring applications. The 3D data for satisfying the needs of these applications can be collected using different digital imaging systems. Among them, photogrammetric systems have recently received considerable attention due to significant improvements in digital imaging sensors, emergence of new mapping platforms, and development of innovative data processing techniques. To date, a variety of techniques haven been proposed for 3D surface reconstruction using imagery collected by multi-platform photogrammetric systems. However, these approaches suffer from the lack of a well-established quality control procedure which evaluates the quality of reconstructed 3D surfaces independent of the utilized reconstruction technique. Hence, this paper aims to introduce a new quality assessment platform for the evaluation of the 3D surface reconstruction using photogrammetric data. This quality control procedure is performed while considering the quality of input data, processing procedures, and photo-realistic 3D surface modelling. The feasibility of the proposed quality control procedure is finally verified by quality assessment of the 3D surface reconstruction using images from different photogrammetric systems.

scholarly journals PENGENDALIAN MUTU STRUKTUR PADA PROYEK RUMAH SUSUN STASIUN PONDOK CINA

2020 ◽  
Vol 2 (3) ◽  
pp. 195-200
Author(s):  
Betty Rosyana Manurung ◽  
Sidiq Wacono
Keyword(s):  
Quality Control ◽  
Control System ◽  
Reinforced Concrete ◽  
Construction Projects ◽  
Control Process ◽  
Secondary Data ◽  
Quality Control System ◽  
Quality Control Process ◽  
Time Work

ABSTRACTEach project can run well and achieve results as planned is expected undoubtedly. Therefore, it requires project quality control. The quality control system in construction projects is essential must be carried out to produce one-time work of a quality that meetsthe specified standards. This study aimsto determine the quality control system for superstructure work and to determine whether the quality of reinforced concrete is according to the requirements. The data used is secondary data, namely, data directly obtained from the project. The data used are tthe concrete compressed test result and reinforcing steel tests held in the laboratory and reinforced concrete data. The analysis results showed that the compress strength of concrete for FC 30 and FC 40 with a test age of 28 days was by the specified requirements, the reinforcement tests S10, S13, S16, S19, S22, S25 meet requirements. For the final result, reinforced concrete found a few defects, but the contractor immediately took corrective action. The analysis shows the implementation of an appropriate quality control process in this project.Keywords : Quality; control; concrete; reinforcement; constructionABSTRAKSetiap proyek tentu diharapkan bisa berjalan dengan baik dan mencapai hasilsesuai perencanaan. Maka dari itu, dibutuhkan pengendalian mutu proyek. Sistem pengendalian mutu pada proyek konstruksi penting dilakukan untuk menghasilkan pekerjaan yang sekali jadi dengan mutu yang memenuhi standar yang ditentukan. Penelitian ini bertujuan untuk mengetahui sistem pengendalian mutu pekerjaan struktur atas dan mengetahui apakah hasil mutu beton bertulang sesuai dengan yang disyaratkan. Data yang dipergunakan adalah data sekunder yaitu data yang langsung didapat dari proyek. Adapun data yang digunakan adalah hasil uji tes tekan beton dan tes baja tulangan yang diadakan di laboratorium serta data hasil akhir beton bertulang. Hasil dari penelitian didapatkan hasil kuat tekan beton untuk FC 30 dan FC 40 dengan umur tes 28 hari sudah sesuai dengan persyaratan yang ditetapkan, hasil tes uji tulangan S10, S13, S16, S19, S22, S25 sudah sesuai dengan persyaratan. Untuk hasil akhir beton bertulang ditemukan sedikit cacat namun pihak kontraktor segera melakukan tindakan perbaikan. Dari hasil analisis menunjukan bahwa proses pengendalian mutu pada proyek ini sudah dilaksanakan dengan baik.Kata kunci : Mutu; pengendalian; beton; tulangan; konstruksi

scholarly journals Analisis Ketidaksesuaian Produk Air Minum dalam Kemasan di PT Amanah Insanillahia

2016 ◽  
Vol 14 (1) ◽  
pp. 99 ◽  
Author(s):  
Elita Amrina ◽  
Nofriani Fajrah
Keyword(s):  
Quality Control ◽  
Central Line ◽  
Bottled Water ◽  
Water Industry ◽  
Fishbone Diagram ◽  
Preliminary Study ◽  
Quality Of Products ◽  
A Company ◽  
Control Limits

Nowadays, the development of industry is increasing very rapidly. It can be known as the high competition between companies. Not only large and international scaled companies, small and medium-sized companies are also face the same challenges in the global competition. Therefore, the companies need to conduct a quality control to maintain the quality of products produced and to achiece the conformance to specifications of product that has standardized by the company policies in order to improve the customer satisfaction. PT Amanah Insanillahia is a company involved in the bottled water industry. Based on the preliminary study, it shown the quality control only conducted to check the number of defective products produced without further evaluation and analysis. Therefore, there is a need to analyze the data of defective products produced and evaluate the results. The purpose of this study is to analyze the nonconformity product of the bottled water 600 ml brand PRIM-A. The p-chart is used in this research to analyze the number of defective products. Then, the fishbone diagram is used to analyze the causes of defective products. The results show that there is no data out of the control limits and mostly the data near in the central line of the p-chart. Using the fishbone diagram, it concluded that factors of man, machines, materials, methods, and environment are the causes of nonconformity products of the bottled water 600 ml brand PRIM-A. It is hoped this study will beneficial for the company to improve the product quality as well as to increase the customer satisfaction.Key Words:Bottled water, nonconformity, p-chart, quality, fishbone diagram AbstrakDewasa ini perkembangan dunia industri bergerak sangat pesat. Hal ini dapat diketahui berdasarkan persaingan antar perusahaan yang semakin meningkat dan lebih ketat. Tidak hanya perusahaan berskala besar dan internasional, namun perusahaan kecil dan menengah juga mengalami persaingan global. Oleh karena itu perusahaan perlu melakukan pengendalian kualitas untuk mempertahankan kualitas dari produk yang dihasilkan, agar sesuai dengan spesifikasi produk yang telah ditetapkan berdasarkan kebijakan perusahaan sehingga akan menciptakan kepuasan konsumen. PT Amanah Insanillahia merupakan perusahaan yang bergerak di industri Air Minum Dalam Kemasan (AMDK). Berdasarkan studi pendahuluan yang dilakukan diketahui bahwa pengendalian kualitas hanya dilakukan dalam batas pengecekan jumlah produk cacat yang dihasilkan tanpa dievaluasi maupun dianalisis lebih lanjut. Oleh karena itu perlu untuk menganalisis data produk cacat yang dihasilkan dan mengevaluasi hasilnya. Tujuan penelitian ini adalah untuk menganalisis ketidaksesuaian produk air minum kemasan botol 600 ml merek PRIM-A. Peta p digunakan dalam penelitian ini untuk menganalisis jumlah produk yang cacat. Kemudian diagram fishbone digunakan untuk menganalisis penyebab ketidaksesuaian produk. Hasil penelitian menunjukkan tidak terdapat data yang keluar batas kontrol dan sebagian besar produk berada didekat garis tengah dari Peta kendali p. Dari diagram fishbone didapatkan bahwa faktor manusia, mesin, bahan baku, metode, dan lingkungan merupakan penyebab ketidaksesuaian produk air minum kemasan botol 600 ml merek PRIM-A. Penelitian ini diharapkan dapat bermanfaat bagi perusahaan untuk meningkatkan kualitas produk dan kepuasan konsumen.Kata Kunci: Air minum dalam kemasan, ketidaksesuian, peta p, kualitas, diagramfishbone

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