Pub Date : 2023-10-06DOI: 10.37090/indstrk.v7i3.962
Asmoro Prabu Kencono, Sukanta Sukanta
PT. XYZ is a company that was founded in 1978 and is engaged in the manufacture of Shock Absorber Manufacturers, Steem Steem, Power Steering, and other components. With so many vendors or company equipment, there will also be many vehicles that will enter the PT. XYZ. This research was conducted to find out whether the queuing system implemented by the company when the vendor arrives is effective or needs to be improved. The analytical method used in this study uses the Multi Channel - Single Phase queuing system analysis method. XYZ with vendors served at post D2-1 every hour is 1.6 vendors per hour, and from the data it can be seen that the system utility is 0.5037. So that it can be said that the post has a busy percentage of 50.37% of its working time with a probability of an unemployed postal worker of 0.5219. Also obtained the average number of vendors in the queue 𝐿𝑞 of 2.0268. So the average number of vendors queuing is 2 vendors and the average customer in the system served in the queue is 4 vendors. The average waiting time is divided into two, namely the average waiting time in the queue is 50.0444 minutes and the average waiting time in the system is 87.3578 minutes.
{"title":"Analisis Sistem Antrian Bagian Receiving untuk Vendor dengan Metode Multi Channel – Singel Phase di PT XYZ","authors":"Asmoro Prabu Kencono, Sukanta Sukanta","doi":"10.37090/indstrk.v7i3.962","DOIUrl":"https://doi.org/10.37090/indstrk.v7i3.962","url":null,"abstract":"PT. XYZ is a company that was founded in 1978 and is engaged in the manufacture of Shock Absorber Manufacturers, Steem Steem, Power Steering, and other components. With so many vendors or company equipment, there will also be many vehicles that will enter the PT. XYZ. This research was conducted to find out whether the queuing system implemented by the company when the vendor arrives is effective or needs to be improved. The analytical method used in this study uses the Multi Channel - Single Phase queuing system analysis method. XYZ with vendors served at post D2-1 every hour is 1.6 vendors per hour, and from the data it can be seen that the system utility is 0.5037. So that it can be said that the post has a busy percentage of 50.37% of its working time with a probability of an unemployed postal worker of 0.5219. Also obtained the average number of vendors in the queue 𝐿𝑞 of 2.0268. So the average number of vendors queuing is 2 vendors and the average customer in the system served in the queue is 4 vendors. The average waiting time is divided into two, namely the average waiting time in the queue is 50.0444 minutes and the average waiting time in the system is 87.3578 minutes.","PeriodicalId":499831,"journal":{"name":"Industrika","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134944106","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-06DOI: 10.37090/indstrk.v7i3.1073
Reza Septiansyah, Wahyudin Wahyudin
Demand forecasting is an attempt to predict demand for a product or prepare stock for a certain time. PT MU is an aluminum distribution company that sells products in the form of white powder coating white aleksindo, sells hikarindo aluminum window materials, curved aluminum frame materials, aluminum door frame materials wood veins and also as a center for making aluminum door frames. The demand for Hollow Aluminum at PT MU from month to month during 2022 has increased and also decreased. Therefore the company conducts demand forecasting. The method used in forecasting Hollow Aluminum demand is to compare the single moving average and exponential smoothing methods to find out the most effective method. Based on the results of data processing and discussion, it is obtained that the most effective method in forecasting Hollow Aluminum products is the 3-month single moving average method because it obtains the lowest mean squared error (MSE) value of 392.67. Keywords: Exponential Smoothing, Forecasting and sales, Single Moving Average
{"title":"Perbandingan Peramalan Permintaan Produk Hollow Alumunium Menggunakan Metode Single Moving Average Dan Exponential Smoothing Pada PT. MU","authors":"Reza Septiansyah, Wahyudin Wahyudin","doi":"10.37090/indstrk.v7i3.1073","DOIUrl":"https://doi.org/10.37090/indstrk.v7i3.1073","url":null,"abstract":"Demand forecasting is an attempt to predict demand for a product or prepare stock for a certain time. PT MU is an aluminum distribution company that sells products in the form of white powder coating white aleksindo, sells hikarindo aluminum window materials, curved aluminum frame materials, aluminum door frame materials wood veins and also as a center for making aluminum door frames. The demand for Hollow Aluminum at PT MU from month to month during 2022 has increased and also decreased. Therefore the company conducts demand forecasting. The method used in forecasting Hollow Aluminum demand is to compare the single moving average and exponential smoothing methods to find out the most effective method. Based on the results of data processing and discussion, it is obtained that the most effective method in forecasting Hollow Aluminum products is the 3-month single moving average method because it obtains the lowest mean squared error (MSE) value of 392.67. Keywords: Exponential Smoothing, Forecasting and sales, Single Moving Average","PeriodicalId":499831,"journal":{"name":"Industrika","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134943668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-06DOI: 10.37090/indstrk.v7i3.1158
Muhammad Nashiruddin, Humiras Hardi Purba
The automotive industry is one of the industrial sectors that can support income for countries in the world. In developments in the industry, every product produced is inseparable from end user/customer complaints due to defective components that pass the Quality Control Final Inspection check so that the product is sent to the customer. This must be anticipated because it greatly influences the level of customer satisfaction and will affect sales. Technological developments that are a challenge for the industry include the ability to present information relating to the history and movement of an item or object through each stage of the production and distribution process. This system requires supply chain actors to know who supplies the automotive industry and to whom the finished product is sent, so that each actor has access to information both upstream and downstream. The data and information needed in this research are research variables, dimensions and indicators, research variables and dimensions are taken from theoretical concepts, all operational indicators are used as guidelines that are in accordance with the concept. Through the implementation of the Traceability System, it will be easier to find the root cause and the ability to trace the process where the problematic material was produced, so that we can respond quickly and accurately to market claims from customers because each process has been integrated with the Barcode system. The supporting systems and devices are needed for a smooth traceability process. Through the implementation of the Traceability System, it is hoped that similar complaints from End Users/Customers will not occur again afterwards so that it will further increase customer trust which will have an impact on increasing orders which will directly increase company profits. Keywords: Automotive, barcode system, traceability system, market claims, customer
{"title":"Penerapan Traceability System Pada Industri Otomotif Berbasis Industri 4.0","authors":"Muhammad Nashiruddin, Humiras Hardi Purba","doi":"10.37090/indstrk.v7i3.1158","DOIUrl":"https://doi.org/10.37090/indstrk.v7i3.1158","url":null,"abstract":"The automotive industry is one of the industrial sectors that can support income for countries in the world. In developments in the industry, every product produced is inseparable from end user/customer complaints due to defective components that pass the Quality Control Final Inspection check so that the product is sent to the customer. This must be anticipated because it greatly influences the level of customer satisfaction and will affect sales. Technological developments that are a challenge for the industry include the ability to present information relating to the history and movement of an item or object through each stage of the production and distribution process. This system requires supply chain actors to know who supplies the automotive industry and to whom the finished product is sent, so that each actor has access to information both upstream and downstream. The data and information needed in this research are research variables, dimensions and indicators, research variables and dimensions are taken from theoretical concepts, all operational indicators are used as guidelines that are in accordance with the concept. Through the implementation of the Traceability System, it will be easier to find the root cause and the ability to trace the process where the problematic material was produced, so that we can respond quickly and accurately to market claims from customers because each process has been integrated with the Barcode system. The supporting systems and devices are needed for a smooth traceability process. Through the implementation of the Traceability System, it is hoped that similar complaints from End Users/Customers will not occur again afterwards so that it will further increase customer trust which will have an impact on increasing orders which will directly increase company profits. Keywords: Automotive, barcode system, traceability system, market claims, customer","PeriodicalId":499831,"journal":{"name":"Industrika","volume":"299 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134943973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-06DOI: 10.37090/indstrk.v7i3.1116
Bernardus Valentcio Gonsalves, Burhan Nudin, Putri Endah Suwarni, Susanti Sundari
This study was conducted at PT. BV whose activities are in the coal mining sector, where there is a sample preparation process which aims to minimize the presence of impurities that will interfere with the coal analysis process. In the process there are two important tools used, namely the Hammer Mill and the Rotary Sample Divider. If we look at the use of these two separate tools, they are not efficient in terms of time, space and human resources, as a result the sample results are not optimal. So it is necessary to redesign the Hammer Mill machine and the Rotary Sample Divider machine by combining the two machines in one design, so that their function is simpler and more efficient, and also produces homogeneity in the coal samples to be analyzed. It is hoped that by combining the 2 tools used into one, we can overcome the lack of efficiency in sample preparation and get maximum results. The analysis used to identify problems uses a fishbone diagram to support identification, exploration, and depicts in detail all the causes related to this problem. The result of the redesign is a modified Hammer Mill Sample Divider that is more efficient and produces homogeneous coal samples to be analyzed. Apart from that, testing data on the sample preparation process using a modified Hammer Mill Sample Divider machine showed that the total testing time for 10 samples was obtained with an average time of 12.55 minutes, a maximum time limit of 14.02 minutes and a minimum time of 10.8 minutes and with the re-design of the Hammer Mill Sample Divider can minimize costs, use of human resources and time.. Keywords: Coal, Efficient, Hammer mill, Re-desain, Rotary sample divider, Sample preparation
{"title":"Modifikasi Hammer Mill Sample Divider Untuk Penyederhanaan Fungsi Dengan Desain Ulang Pada PT. BV","authors":"Bernardus Valentcio Gonsalves, Burhan Nudin, Putri Endah Suwarni, Susanti Sundari","doi":"10.37090/indstrk.v7i3.1116","DOIUrl":"https://doi.org/10.37090/indstrk.v7i3.1116","url":null,"abstract":"This study was conducted at PT. BV whose activities are in the coal mining sector, where there is a sample preparation process which aims to minimize the presence of impurities that will interfere with the coal analysis process. In the process there are two important tools used, namely the Hammer Mill and the Rotary Sample Divider. If we look at the use of these two separate tools, they are not efficient in terms of time, space and human resources, as a result the sample results are not optimal. So it is necessary to redesign the Hammer Mill machine and the Rotary Sample Divider machine by combining the two machines in one design, so that their function is simpler and more efficient, and also produces homogeneity in the coal samples to be analyzed. It is hoped that by combining the 2 tools used into one, we can overcome the lack of efficiency in sample preparation and get maximum results. The analysis used to identify problems uses a fishbone diagram to support identification, exploration, and depicts in detail all the causes related to this problem. The result of the redesign is a modified Hammer Mill Sample Divider that is more efficient and produces homogeneous coal samples to be analyzed. Apart from that, testing data on the sample preparation process using a modified Hammer Mill Sample Divider machine showed that the total testing time for 10 samples was obtained with an average time of 12.55 minutes, a maximum time limit of 14.02 minutes and a minimum time of 10.8 minutes and with the re-design of the Hammer Mill Sample Divider can minimize costs, use of human resources and time.. Keywords: Coal, Efficient, Hammer mill, Re-desain, Rotary sample divider, Sample preparation","PeriodicalId":499831,"journal":{"name":"Industrika","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134944635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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