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PROZIMA (Productivity, Optimization and Manufacturing System Engineering)
Published by Universitas Muhammadiyah Sidoarjo
ISSN : 25415115     EISSN : 25415115     DOI : https://doi.org/10.21070/prozima
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Aim: to facilitate scholar, researchers, and teachers for publishing the original articles or review articles. Scope: Industrial Engineering included: Supply Chain Management Optimization and industry system Ergonomics Strategic Management Quality Engineering and Management Sustainability Experiment design Statistic Project Management Productivity Technology Management
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 106 Documents
 1   2   3   4   5 
Controlling Vaname Shrimp (Litopenaeus Vannamei) Raw Material Inventories (Case Study at PT. Grahamakmur Ciptapratama Sidoarjo) Iffan Maflahah; Amalia Wahyu Pratiwi; Asfan
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 4 No 1 (2020): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v4i1.1273

Abstract

Raw material inventory control is used to place orders and ensure that shrimp raw materials arrive in a timely manner in accordance with consumer demand. This will expedite the course of the production process. This research was conducted at PT. Grahamakmur Ciptapratama Sidoarjo with the aim of knowing and analyzing the control of raw red ginger in frozen shrimp products. The method used is the Economic Order Quantity (EOQ) Method with the Lot For Lot (LFL) Technique. In addition, safety stock analysis, Maximum Inventory, warehouse capacity and Reorder Point analysis were carried out. The results of the study showed that inventory costs using the EOQ technique were lower than the company method or using the LFL technique. The EOQ technique produces an inventory cost of IDR 292,591.00 in 2017 with an order frequency of 105 times and in 2018 of IDR 289,750.00 with a booking frequency of 116 times. In the LFL technique inventory costs are more expensive, but the planning technique in the LFL method can be applied by companies in anticipation of raw material inventory if there is a small inventory. If the company applies the EOQ method, the company purchases raw materials in a larger amount, but the warehouse capacity in the company can still be met, this can be seen from the calculation of Maximum Inventory and warehouse capacity.
Balanced Scorecard Method: Analysis of Achievement of Manufacturing Services Companies Strategies in Pasuruan Muhamad abdul Jumali; Anita Kristina
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 4 No 1 (2020): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v4i1.1274

Abstract

Bussiness iicompetition iiin iimanufacturing iisector iihas iipotential iito iidevelop, iiespecially iiin iieastern iiarea iiof iiEast iiJavaProvince, iiso iicompetency iiin iiservice iisector iiis iineeded, iibest iilevel, iiresistant iito iicompetition, iioptimizing iiresources iiowned iioptimally iiand iiachieving ii iicompany iistrategic. iiThe iiselection iiof iimanufacturing iiservice iicompanies iias iiresearch iiobject iiis iibased iion iitrusted iitrack iirecords. iiAim iiof iithis iistudy iiis iito iiknow ii4 iiprespctive, iicustomer iiprespective, iiinternal iibusiness iiprespective iiand iigrowth iilearning iiwith iibalanced iiscorecard ii iirules. iiUsing iiresponden iiwith iiproportionate iistratified iirandom iisampling iimethod iiusing iisolving iiformula. iiResult iiof iistudy iiis iiindicate iithat iithere iiare iia iinumber iivariations iidominated iiby iitotal iiplanning iicost iimanagement iiprocess iicarried iiout iiin iiaccordance iiwith iiperformance iimeasurement iistandarts, ii4 iiprespective iiof iithis iiperformance iimeasurement iihas iibeen iiguaranteed iiin iiexternal iiaudit iisystem iiand iineeds iito iigrow iiand iidevelop iithe iicompany’s iiexistence.
Determination of Production Instrumentation Equipment Maintenance Intervals In the Paper Industry Nurma M. Hidayatulloh; Tedjo Sukmono
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 4 No 1 (2020): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v4i1.1275

Abstract

PT. XYZ is a manufacturing industry engaged in paper processing with afval raw materials. The problem faced is machine failure that occurs suddenly without predictability, this is because there is no scheduled maintenance (preventive main-tenance). The object of this research is focused on production instrumentation equipment. This study uses the Failure Mode and Effect Analyzer (FMEA) method to identify the causes of failure and the effects of these failures by determining the critical value of the component, namely the Risk Priority Number (RPN) which is the largest, then the Reliability Centered Maintenance (RCM) II Decision Worsheet method for determine maintenance intervals of production instrumentation equipment. Based on the results of RPN calculations in the FMEA method to determine the critical components of the Instrumentation equipment, namely the Control Valve, it can be seen that the highest total RPN value is found in three components, namely Restrictor with an RPN value of 390, Power Supply with RPN of 297, and also a Pilot Positioner. with an RPN value of 240. And with optimum maintenance intervals, among others, the Restrictor every 40 hours, the Power Supply every 41 hours, and the Pilot Positioner every 47 hours.
Design Cost Control in Risk Management with the Expected Money Value (Emv) and Hirarc Method at Pt Xyz Jawa Timur Surabaya Rahardi Wardhana; Lukmandono
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 4 No 1 (2020): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v4i1.1276

Abstract

This Operation of production area A6 workshop in PT XYZ can protecally lead to risk of accidents due to contact between worker with machines that operate like geka machine. The accidents caused by companies not yet know how the potentially dangerous and risks of working in the garage area lathe, as well as the lack of good implementation of procedures before entering the work area. From the accident required a determinan of hazard and risk analysis on production A6 workshop conducted by using HIRARC (Hazard Identification and Risk Assessment Control) and conduct a risk assessment to provide an assessment of the result of multiplication Severity and Likelihood that refers to the Department of Ocupational Safety and Health Ministry Guidlines of Human Resources Malaysia
Detection and Classification of Canned Packaging Defects Using Convolutional Neural Network Rindi Kusumawardani; Putu Dana Karningsih
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 4 No 1 (2020): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v4i1.1280

Abstract

Packaging is one of the important aspects of a product’s identity. The good and adorable packaging can increase product competitiveness because it gives a perception to the customers of good quality products. Therefore, a good packaging display is necessary so that packaging quality inspection is very important. Automated defect detection can help to reduce human error in the inspection process. Convolutional Neural Network (CNN) is an approach that can be used to detect and classify a packaging condition. This paper presents an experiment that compares 5 network models, i.e. ShuffleNet, GoogLeNet, ResNet18, ResNet50, and Resnet101, each network given the same parameters. The dataset is an image of cans packaging which is divided into 3 classifications, No Defect, Minor Defect, and Major Defect. The experimental result shows that network architecture models of ResNet50 and ResNet101 provided the best result for cans defect classification than the other network models, with 95,56% for testing accuracy. The five models have the testing accuracy above 90%, so it can be concluded that all network models are ideal for detecting the packaging defect and defect classification for the cans product.
The Role of Customer Perceived Value Mediates the Effect of Service Quality on Customer Satisfaction Ni Made Purnami; A.A Ngr Wishrawan Bhaskara Warman
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 3 No 1 (2019): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v3i1.1300

Abstract

This study aims to determine the quality of service to customer satisfaction through the perceived value in Sing Ken Ken Lifestyle Boutique Hotel. This study used 130 respondents through purposive sampling method. Data collection methods used through questionnaires. Data analysis technique which is technique of path analysis and test of sobel. The results showed that the service quality is positive and significant on the perceived value of the customer, the service quality is positive and significant on customer satisfaction, the perceived value of the customer, and the perceived value of consumers as mediation of service quality to customer satisfaction. The results showed that the service quality and customers perceived value can affect consumer satisfaction and the perceived value consumers can mediate the effect of service quality to customer satisfaction.
Minimize Customer Return by Using the Method of Quality Control Circle and Quality Loss Fuction: Study from PT Artha Food Aris Tri Yulianto; Hana Catur Wahyuni
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 3 No 1 (2019): Juni
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v3i1.1301

Abstract

One of the keys to a company's success is quality control. PT Artha Food is a manufacturing industry engaged in the processing of cocoa powder trying to improve the quality of its products for customer satisfaction in accordance with the mission of the company, which is to become a world-class company focused on creating added value for consumers. But with the increase in company productivity, consumer complaints are also increasing. The biggest factor of consumer complaints is broken product when sent to the consumer. This resulted in increasing the return of products from consumers resulting in losses for the company because the rejeck product increases. The company will seek to minimize the return from consumers with existing resources so that consumer confidence increases and decreases the rejeck product. In this study, the method used in the quality control of product defects is the quality control circle used to analyze the damaged product. The method is integrated with quality loss fuction to know the producer loss factor By improving the quality with the quality control method circle the average broken product can be minimized from 295.45 kg / month before the improvement to 50 kg / month after the repair process.
Minimize Defects in 5 Liters Jerry Cans by Using Statistical Quality Control and Root Cause Analysis Bayu Bisma Nanda; Wiwik Sulistiyowati
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 4 No 2 (2020): Desember
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v4i2.1302

Abstract

PT. DS2 is one of the producers of household appliances, kitchen utensils, and children's toys to bottles and jerry cans, to produce 5 liters of jerry using 2 Blow Molding machines that can produce an average jerry of 6750 / plastic jerry per day. In the production process there are defects found in 5 liter jerry products. This study aims to determine the cause of defect, what factors cause defect. Method used in this research is SQC and RCA in an effort to determine the defect in the 5 liter jerry production process. From the results of research that has been done, the highest value of disability is PL bloom defect with 1686 pcs with a cumulative percentage of 41%. Based on the analysis using the control p chart that all percentages of defective pruduct are still in the control chart and declared safe.
Improving Product Quality With Production Quality Control Suhadak; Tedjo Sukmono
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 4 No 2 (2020): Desember
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v4i2.1306

Abstract

PT. Z is a company engaged in the plastic bag industry. The company produces plastic bags, one of which is a type of ATP 12 x 24 that is often used as plastic wrapping meatballs, sugar and others. A company is certainly required to provide the best quality on its products. To meet the needs and expectations of consumers for the quality of products, the company must improve the quality of existing products. Six sigma is a quality tool that can be used to analyze and process data to maintain or improve the quality of a product based on the process. One of the shorts used in the six sigma method is Define, Measure, Analyze, Improve and Control ( DMAIC). This research focuses on the results of product defects produced for 5 months in 2019. Because of the process analyzed there is data of proportions that are out of control in july and november. So that the data is omitted so that the data can be controlled. The sigma production level of ATP 12 x 24 is currently at the level of 4 sigma so it is necessary to improve to reach the level of 6 sigma. Pareto diagrams and fishbone diagrams can be used as tools to analyze significant factors causing product defects. And it can be known that the causative factor that can be done repair is deflated.
Literature Study of Lean Implementation Framework for Small and Medium Enterprises (SMEs) in Indonesia Fatma Nadia Amin; Putu Dana Karningsih
PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Vol 4 No 2 (2020): Desember
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/prozima.v4i2.1308

Abstract

Many companies in developed countries are implementing lean manufacturing and offering significant results. However, experts argue that the concept can not only be used in large companies but also in SMEs. Some SMEs in the world have also implemented the lean concept, but there have been many failures during implementation. This is because of the lean implementation framework. Several researchers have developed specific frameworks for lean implementation in SMEs. Therefore the final objective of this study is a lean implementation framework that is suitable for SMEs in Indonesia. In this research, the first step of the literature study is to search for previous studies on google scholar, emerald, elsevier, etc. related to the lean framework. Furthermore, comparing and comparing the framework in previous research. This comparison can be a lean implementation in Indonesia, with the strengths and weaknesses of each of these frameworks

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