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PERENCANAAN PERSEDIAAN BAHAN BAKU DENGAN MENGGUNAKAN METODE MATERIAL REQUIREMENT PLANNING (MRP) PRODUK SERAGAM TINGKAT SLTA PADA UNIT USAHA DUTA COLLECTION SENGONAGUNG PASURUAN Saisuddin; Nuriyanto

Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v5i3.2044

The Material Requirement Planning (MRP) method is used to control the supply of raw materials in a company. A company to implement policies in raw material planning must have the right calculation so that there are no advantages and disadvantages in the supply of raw materials. This study aims to determine whether the application of the Material Requirement Planning (MRP) method in the "Duta Collection" business unit in planning the supply of raw materials can run effectively and efficiently. Material requirements planning using MRP method in this paper uses the lot sizing method, where the lot sizing methods used are Lot-for-Lot, and Economic Order Quantity (EOQ), as well as using the Exponential smoothing and least squares forecasting formula as a reference for know the amount of raw material needs in the future. From the calculation of the cost of raw materials in 2016 the total cost of raw material inventories incurred by the Duta Collection business unit was Rp12,797,247,650. Whereas by using the MRP method the total cost incurred was the Lot-for-lot Method of Rp 35,904,531,000 and the Economic Order Quantity (EOQ) Method of Rp 5,886,092,567. From the two MRP methods above, it can be seen that the Economic Order Quantity (EOQ) method has the lowest total inventory cost of Rp 5,886,092,567, - meaning the company can minimize inventory costs by 2.2% of the costs incurred. So as such it is proven that one of these MRP methods can play a role in efficient cost of raw material inventory in the Duta Collection business Unit.

PENGENDALIAN PERSEDIAAN BAHAN BAKU TIMANGAN IKAT PINGGANG JENIS MATIC KECIL DENGAN METODE FORECASTING DAN ECONOMIC ORDER QUANTITY (EOQ) DI UD. SENENG DAMAI Juhriyah; Nuriyanto

Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v6i1.2053

During this time, UD. Seneng Damai made a purchase of raw material by just guessing when the amount of goods in the warehouse is running out. This research is expected to help the company to consider and determine the policy in inventory control activities in order to run more effectively and efficiently. So by applying EOQ method, UD. Seneng Damai will know how much order (order quantity) of raw materials buckles and when should the company to re-order raw material buckles during period 2018. Research type used is descriptive research with quantitative approach. Sources of data in this study using secondary data sources obtained directly from the company. Data collection using interviews and documentation. Data analysis used in this research is using Economic Order Quantity method. The results of the analysis prove that if the company applies methods Economic Order Quantity in 2018 in the optimal purchase of raw materials, there is a difference in savings expenditures total costs for raw materials of Rp. 150.305, -. Based on the results of the analysis, it should be UD. Seneng Damai applies Economic Order Quantity method in determining the optimal quantity of raw material purchase, so it can minimize the total cost incurred by the company every year.

OPTIMASI PRODUKSI PAVING STONE DENGAN MENGGUNAKAN METODE LINIER PROGRAMMING DI PT. XXX Mukhammad Jainudin; Nuriyanto

Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v6i2.2058

Xxx is one of the companies engaged in construction that produces paving stones. The obstacle experienced by this company is that demand is sometimes soaring and sometimes soaring is caused by a lack of careful planning and maximum profits derived by the company. Therefore, companies need a certain basic calculation to optimize the amount of profit. Optimization is needed to analyze the making of paving and optimize profits by using the Linear Programming method. The purpose of this study is to determine the results of the analysis of paving production and determine the optimal profit. Retrieval of data obtained from direct observation or observation at PT. XXX. The data needed in this study are: product data, raw material purchase price data, sales data and production boundary data. In solving this problem the researchers used the Linear programming method and Smoothing forecasting methods obtained by Z_max as follows: Z_max = 540X_1 + 556X_2 + 707X_3 With the limit function: 327,27X1 318.18X2 With the requirements X_1 X_2 X_3 ≥ 0 So the analysis is obtained is the most optimal product sold per month are: DC 06: 106,732 M ^ 2, DC 08: 339,402 M ^ 2, TC 06: 13.109 M ^ 2 The conclusion obtained from the results of this study is that the optimal profit obtained is Rp. 75,460

OPTIMASI MANAGEMET SUPLY CHAINBAHAN BAKU KEDELAI IMPOR DI MASA PANDEMI COVID-19 MENGGUNAKAN METODE AHP Nuriyanto; M. Imron Mas'ud

Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v7i2.2290

PT.Joyo Continues is a company engaged in shipping services and distributors of imported soybeans from abroad such as the USA, Brazil and Argentina which will be distributed again to local soybean craftsmen, especially the Pasuruan region and its surroundings, this research was conducted to determine which suppliers are really effective and suitable according to the characteristics of the company, as well as being able to provide the best profit for the company, this research is also intended to help companies determine strategies in facing increasingly competitive market competition. Selection of this supplier uses the AHP (Analytical Hierarchy Process) and SWOT (Strengths Weakeness Opportunity Threats) method. SWOT analysis is a systematic identification of various factors to formulate a company strategy. While AHP is a multicriteria decision-making technique, in which quantitative factors and qualitative factors are combined, so that quality, position, and evaluation can be carried out in the form of variable-variative evaluations (Saaty, 1994). , quality, distribution and consistency as well as company strategy to optimize marketing strategy amidst the global crisis caused by the pandemic, obtained the USA as an alternative to the main supplier.

PERENCANAAN PERSEDIAAN BAHAN BAKU DENGAN MENGGUNAKAN METODE MATERIAL REQUIREMENT PLANNING (MRP) PRODUK SERAGAM TINGKAT SLTA PADA UNIT USAHA DUTA COLLECTION SENGONAGUNG PASURUAN Saisuddin; Nuriyanto
Journal Knowledge Industrial Engineering (JKIE) Vol 5 No 3 (2018): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v5i3.2044

The Material Requirement Planning (MRP) method is used to control the supply of raw materials in a company. A company to implement policies in raw material planning must have the right calculation so that there are no advantages and disadvantages in the supply of raw materials. This study aims to determine whether the application of the Material Requirement Planning (MRP) method in the "Duta Collection" business unit in planning the supply of raw materials can run effectively and efficiently. Material requirements planning using MRP method in this paper uses the lot sizing method, where the lot sizing methods used are Lot-for-Lot, and Economic Order Quantity (EOQ), as well as using the Exponential smoothing and least squares forecasting formula as a reference for know the amount of raw material needs in the future. From the calculation of the cost of raw materials in 2016 the total cost of raw material inventories incurred by the Duta Collection business unit was Rp12,797,247,650. Whereas by using the MRP method the total cost incurred was the Lot-for-lot Method of Rp 35,904,531,000 and the Economic Order Quantity (EOQ) Method of Rp 5,886,092,567. From the two MRP methods above, it can be seen that the Economic Order Quantity (EOQ) method has the lowest total inventory cost of Rp 5,886,092,567, - meaning the company can minimize inventory costs by 2.2% of the costs incurred. So as such it is proven that one of these MRP methods can play a role in efficient cost of raw material inventory in the Duta Collection business Unit.

PENGENDALIAN PERSEDIAAN BAHAN BAKU TIMANGAN IKAT PINGGANG JENIS MATIC KECIL DENGAN METODE FORECASTING DAN ECONOMIC ORDER QUANTITY (EOQ) DI UD. SENENG DAMAI Juhriyah; Nuriyanto
Journal Knowledge Industrial Engineering (JKIE) Vol 6 No 1 (2019): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v6i1.2053

During this time, UD. Seneng Damai made a purchase of raw material by just guessing when the amount of goods in the warehouse is running out. This research is expected to help the company to consider and determine the policy in inventory control activities in order to run more effectively and efficiently. So by applying EOQ method, UD. Seneng Damai will know how much order (order quantity) of raw materials buckles and when should the company to re-order raw material buckles during period 2018. Research type used is descriptive research with quantitative approach. Sources of data in this study using secondary data sources obtained directly from the company. Data collection using interviews and documentation. Data analysis used in this research is using Economic Order Quantity method. The results of the analysis prove that if the company applies methods Economic Order Quantity in 2018 in the optimal purchase of raw materials, there is a difference in savings expenditures total costs for raw materials of Rp. 150.305, -. Based on the results of the analysis, it should be UD. Seneng Damai applies Economic Order Quantity method in determining the optimal quantity of raw material purchase, so it can minimize the total cost incurred by the company every year.

OPTIMASI PRODUKSI PAVING STONE DENGAN MENGGUNAKAN METODE LINIER PROGRAMMING DI PT. XXX Jainudin, Mukhammad; Nuriyanto
Journal Knowledge Industrial Engineering (JKIE) Vol 6 No 2 (2019): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v6i2.2058

Xxx is one of the companies engaged in construction that produces paving stones. The obstacle experienced by this company is that demand is sometimes soaring and sometimes soaring is caused by a lack of careful planning and maximum profits derived by the company. Therefore, companies need a certain basic calculation to optimize the amount of profit. Optimization is needed to analyze the making of paving and optimize profits by using the Linear Programming method. The purpose of this study is to determine the results of the analysis of paving production and determine the optimal profit. Retrieval of data obtained from direct observation or observation at PT. XXX. The data needed in this study are: product data, raw material purchase price data, sales data and production boundary data. In solving this problem the researchers used the Linear programming method and Smoothing forecasting methods obtained by Z_max as follows: Z_max = 540X_1 + 556X_2 + 707X_3 With the limit function: 327,27X1 318.18X2 With the requirements X_1 X_2 X_3 â‰¥ 0 So the analysis is obtained is the most optimal product sold per month are: DC 06: 106,732 M ^ 2, DC 08: 339,402 M ^ 2, TC 06: 13.109 M ^ 2 The conclusion obtained from the results of this study is that the optimal profit obtained is Rp. 75,460

OPTIMASI MANAGEMET SUPLY CHAINBAHAN BAKU KEDELAI IMPOR DI MASA PANDEMI COVID-19 MENGGUNAKAN METODE AHP Nuriyanto; Mas'ud, M. Imron
Journal Knowledge Industrial Engineering (JKIE) Vol 7 No 2 (2020): JKIE (Journal Knowledge Industrial Engineering)
Publisher : Department of Industrial Engineering - Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/jkie.v7i2.2290

PT.Joyo Continues is a company engaged in shipping services and distributors of imported soybeans from abroad such as the USA, Brazil and Argentina which will be distributed again to local soybean craftsmen, especially the Pasuruan region and its surroundings, this research was conducted to determine which suppliers are really effective and suitable according to the characteristics of the company, as well as being able to provide the best profit for the company, this research is also intended to help companies determine strategies in facing increasingly competitive market competition. Selection of this supplier uses the AHP (Analytical Hierarchy Process) and SWOT (Strengths Weakeness Opportunity Threats) method. SWOT analysis is a systematic identification of various factors to formulate a company strategy. While AHP is a multicriteria decision-making technique, in which quantitative factors and qualitative factors are combined, so that quality, position, and evaluation can be carried out in the form of variable-variative evaluations (Saaty, 1994). , quality, distribution and consistency as well as company strategy to optimize marketing strategy amidst the global crisis caused by the pandemic, obtained the USA as an alternative to the main supplier.

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