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JKIE (Journal Knowledge Industrial Engineering)
Published by Universitas Yudharta Pasuruan
ISSN : 24600113     EISSN : 25414461     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering
JKIE is scientific journal that publishes research in the field of Industrial Engineering such: Industria Management, Optimization, Innovation, Ergonomics/Human Factors Engineering, Supply Chain Management, Operation Research, Statistic, Management Systems, Time & Motion Study, Manufacturing System, Production Planning & Inventory Control, Logictis, Engineering Economy, Modelling Systems, Simulation, Facilities Design & Work Space Design, Quality Engineering (SPC/TQM), Operation Management & Productivity Improvement, Product Design & Development, and Decision Planning & Analysis etc.
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Articles 279 Documents
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PENERAPAN METODE FORECASTING DALAM PERENCANAAN PRODUKSI BAKPIA DENGAN MENGGUNAKAN SOFTWARE POM GUNA MEMENUHI PERMINTAAN KONSUMEN Junaedi, Didik; Mas'ud, M. Imron
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.v5i3.2042

Abstract

Home Industry has limited resources and a variety of suggestions (Multi Objective) to be obtained. The goal to be achieved is to maximize the amount of production, maximize profits, drink working hours and minimize the use of hours and minimize the use of raw materials. Forecasting (forecasting) is an attempt to estimate what happens in the future based on previous data or past data, which is based on scientific and qualitative methods carried out systematically, this study aims to find the exact value of the method predicted by looking at MAPE, MAD, MSE values ​​who want to achieve UKM Siti Khotijah.
PENGENDALIAN PERSEDIAAN BAHAN BAKU LAKOP SAPU DENGAN METODE EOQ (ECONOMIC ORDER QUANTITY) PADA UD.PLASTIK PURWOSARI Febriani, Cindra; Rosyidi, Khafidz
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.v5i3.2043

Abstract

Each company has different ways to manage raw material inventory. Starting from the number of units of raw materials, time of use, as well as the amount of costs to purchase raw materials. The amount of raw material inventory that is minimal or too big is feared will be an obstacle of a company's productivity, so it needs a good raw material management pattern for the company. Policies in inventory management need to be formulated appropriately so as to achieve the objectives expected by the company. There are several methods to control inventory levels, including the Economic Order Quantity (EOQ) model. The EOQ method is used to determine the optimal amount of goods in one period by minimizing total inventory cost. The inventory cost consists of setup cost and holding cost. Some of the advantages of implementing EOQ policies in inventory management are that investments embedded in inventories can be kept to a minimum and the number of raw material orders adjusted for consumption needs. UD. Plastics is one of the middle-level industries that manage plastic waste located in Tejowangi Village Purwosari District that develops local resource potentials. Re-Order Point, according to EOQ method is 7,971 kg, whereas according to UD policy. Plastic Purwosari no return order. The frequency of optimum raw material feeding according to EOQ method is 4 times in one month, while policy according to UD. Purwosari +-plastic is 15 times in 1 month. Total inventory cost is optimal for 1 year according to EOQ method of Rp. 568,419.41, whereas according to UD policy. Plastic Purwosari Rp. 770.631,22. So there is a difference of Rp. 202.211,81. Companies need to re-examine the methods of control applied so far, because based on the results of processing by methods used by researchers, Total inventory cost can still be minimized. By using EOQ method in raw material procurement policy, the company will get a minimum quantity of raw material purchasing compared to the previous company policy.
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

Abstract

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.
PENERAPAN TPM DENGAN MENGGUNAKAN OVERALL EQUIPMENT EFECTIVENESS (OEE) DAN SIX BIG LOSSES PADA MESIN REVERSE OSMOSIS DI BAGIAN UTILITY PT. WIDATRA BHAKTI Eko, Andi; Hermansyah, Muhammad
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.v6i1.2045

Abstract

Manufacturing system improvement is one of the intensive improvements made so that later it can resp ond to market changes quickly. The company is always trying to increase productivity, one way to do that is by implementing a preventive and corrective maintenance system. However, in reality the results achieved were not in line with expectations. This study found that the amount of time taken to carry out maintenance breakdowns, which is one of the real problems, so corrective action was focused on this problem. In this study using OEE measurement methods, analysis of the calculation of Six Big Losses, and analysis of cause and effect diagrams to find out the problems that occur and provide suggestions for solving the problem. From the analysis and discussion that has been carried out, several results are obtained, namely the OEE value in the Reverse Osmosis machine is between 38.2% - 45.3% and is below the OEE standard (85%). The low OEE value is strongly influenced by the low availability rate which only ranges between 62.5% - 83.3% and is far below the standard availability rate (90%). The results of this study found that the biggest factors that influence the low effectiveness of the engine are the reduced speed factor of 30.31% and the scrap loss yield of 53.37%. so the recommended action is the application of TPM.
IMPLEMENTASI SIX SIGMA DENGAN PENDEKATAN POKA YOKE GUNA REDUKSI BAGIAN CASE PACKER PADA PT. X Ulum, Roudlotul; Munir, Misbach
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.v6i1.2046

Abstract

X is one of the companies engaged in the manufacturing industry that produces cigarettes with the type of Machine-made Clove Cigarettes (SKM), or commonly known as clove cigarettes. known at the time of the packaging process (packaging) there are often problems that cause the appearance of the resulting product is not good. In order to achieve this condition continuous improvement must be made. To avoid high defects in the packaging process, one of the ways to do this is to apply six sigma with a poka yoke approach, starting from identifying problems or defects, improving steps, and establishing standards to maintain these qualities, which aim to achieve product quality which can meet the desired specifications of the company. Based on the results of the analysis conducted a comparison of the results of the number of defects before and after experiencing improvement based on the percentage of the average number of defects from 0,00066342% to 5.70032% so that after improvements have increased 5.7%.
Strategi Pemasaran Ayam Boiler Di Perternakan UD. RESTU IBU Dengan Menggunakan Metode SWOT Rozikin, Khoirur; Misbah, Achmad
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.v6i1.2047

Abstract

Broiler breeding business is inseparable from several obstacles encountered. The constraint in question is the high level of risk faced in the business of broilers such as the risk of price fluctuations, both input prices such as day old chick (DOC), feed and medicine as well as fluctuations in the selling price of output in the form of live chickens (livebird) and carcasses . Other risks faced are production risks caused by weather, climate, disease and social risks. The purpose of this study is (1) to describe the factors faced by UD. Restu Ibu in marketing broilers, (2) outlines the strategy adopted by UD. Mother's blessing to overcome the factors in marketing broilers, and (3) determine alternative forms of marketing strategies developed by UD. Mother's blessing in marketing broilers. The data analysis technique used is the SWOT analysis.
PENGENDALIAN KUALITAS PRODUK GALON AIR MINERAL 19 L DENGAN PENDEKATAN SIX SIGMA Arif, Afrizal; Wahid, Abdul
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.v6i1.2052

Abstract

The problem faced by the company is the lack of product quality control that is used to reduce the number of defective products during the production process. Six sigma is a statistical-based quality improvement method, where the principle of this method is continuous improvement using statistical tools and problem solving tools. In this study, researchers applied the Six Sigma method which can be considered by the company as a product quality control method. In the measure stage through the calculation of the average product mismatch, it is known that the products that experience the largest defect rate of the company are black dirty, with an average value of 0.0285 and a sigma value of 3.2. In the next stage, the analyze phase through calculations using pareto diagrams, it is known that the dominant type of product defect is black dirty (65%) and the rest is dirty die head (2%) anamdel mouth (1%) bottom folded (1%). At the same stage through calculations using cause and effect diagrams, it is known that the factors that sequentially cause the product defects are 5 factors, namely human, material, method, machine and environment. The proposed improvements made by researchers into consideration in making improvements that can be useful to reduce the number of defective products or reject on gallon products.
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

Abstract

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.
PENGENDALIAN KUALITAS PRODUKSI UNIT PLATE HEAT EXCHANGER (PHE) PADA PROSES WELDING KONEKSI DENGAN PENDEKATAN PDCA UNTUK MENINGKATKAN PERFORMANSI CYCLE TIME Arif Widiantoro; Hermansyah, Muhammad
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.v6i2.2054

Abstract

Global business and industry competition in the field of heat exchangers is a threat to all companies, especially in terms of product manufacturing cycle time in this study, it is known that the problem is the average length of welding process of the connection process of the Plate Heat Exchanger (PHE) unit which takes 3.45 hours each time the process so in this study aims to determine the increase in cycle time in the connection welding process in the existing PHE unit assembly process, the method used to increase the cycle time of the connection welding process is to use the Plan, Do, Check, and Action (PDCA) method, The application of this method has 4 stages: a Plan to identify existing problems and their root causes, Do is a step to carry out all improvements directed at the root of the problem, Check is a stage for the process of checking the comparison of data before and after the repair process based on the results of improvement there and Acti on is an action after repairs and the results are known, namely the implementation of standardization of processes that aim to guarantee the results and certainty of the next process. The results of this study are improvements that all welding connection processes using manual methods have been replaced by making simple machines so that the process can be more stable , consistent and efficient, the results of improvements that have been made can increase the cycle time of the connection welding process which was originally 3.45 hours to 0.97 hours per process.
PROSES MANUFAKTUR PADA MESIN PRIMER DAN SEKUNDER CV. KARUNIA MENGGUNAKAN METODE LINIER PROGAMMING Fauzi, Ahmad; Mas'ud, M. Imron
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.v6i2.2055

Abstract

Increasingly fierce business competition demands industries in manufacturing and services to increase the creativity of its business strategy. The same business strategy will not necessarily give the same results if it is still implemented so that its performance needs to be assessed. For this reason, companies are expected to be able to implement a good production process system and be able to continue to improve efficiency. CV. The gift is a company that moves coral (split) experiencing problems related to the determination of the number of products produced by the company every month. This causes that in each period, the company experiences excess - decreases in production so that the company's profit is not optimal and results in a large saving cost. This situation occurs because the company has been carrying out production planning based on intuition. The method used as a solution is Linear Progamming. This study aims to determine the production process and increase company profits. For the calculation of the amount of production in each period. Then it can be concluded that the objective function sought is the optimal value "Maximum" in November with a value of Z = 310, January with a value of Z = 3600, February with a value of Z = 7000, April with a value of Z = 4600, and May with a value of Z = 8000. Whereas the objective function for which the optimal value is "Minimal" is found in December with a value of Z = - 4675, and in March with a value of Z = - 2825. There is a "Minimum" value in the objective function for which the optimal value for December 2017 is sought. and in March 2018 caused by a decrease in production capacity in variants x1, x2, x3, x4 which is influenced by the decrease in demand for each variant from the customer

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