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Redaksi INDUSTRIKA : JURNAL ILMIAH TEKNIK INDUSTRI Fakultas Teknik Universitas Tulang Bawang (UTB) Lampung Jl. Gajah Mada. No. 34 Kotabaru, Bandar Lampung 35121 Tel / fax : (0721) 252 686 / (0721) 254 175
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INDONESIA
Industrika : Jurnal Ilmiah Teknik Industri
Published by Universitas Tulang Bawang
ISSN : 27764745     EISSN : 25795732     DOI : https://doi.org/10.37090/indstrk.v5i1
Core Subject : Economy, Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering
INDUSTRIKA is a research journal which facilitates the publication of scientific articles in the field of Industrial Engineering. The published articles in INDUSTRIKA can be the result of research and literature review. Some of the topics are including: Business and strategy; decision analysis Engineering economy; Environmental issues Facility location; layout; design; materials handling Forecasting; production planning/control Human factors; ergonomics; safety Human resources management ICT and information systems Innovation; knowledge management; organizational learning Inventory; logistics; transportation; Manufacturing; control; automation Product/process design and management Project/operations management; Service systems/management; modeling/simulation
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 345 Documents
 18   19   20   21   22 
Implementasi Metode Economic Order Quantity (EOQ) Terhadap Persediaan Local Nut Weld M10-OI di PT. ECP Adimas Ristansyah, Ferry; Momon S., Ade
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 1 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i1.1507

Abstract

PT. ECP is a manufacturing company that produces excavator components. The problems experienced by PT. ECP is the occurrence of inventory that exceeds capacity. The excess capacity was due to the continuous purchase of Local Nut Weld M10-OI every month plus the remaining raw materials from the previous period. This study aims to apply the EOQ method to the inventory system of PT. ECP to minimize the problem of excess inventory. The results obtained from the application of the EOQ method are the number of each order of 30,742 units with a safety stock of 482 units and the frequency of orders every 2 months. Reorders are made when the remaining inventory is 3,615 units, the maximum inventory is 31,224 units, and the total inventory cost is Rp. 384,274 with a difference of Rp. 89,170 when compared to the cost of inventory before applying the EOQ method. Keywords: EOQ, Inventory, Reorder Point, Safety Stock, Total Inventory Cost
Penerapan Metode Double Exponential Smoothing dan Moving Average pada Peramalan Persediaan Spare Part Oil Filter di PT. X Cabang Karawang Sigit, Radyta Alicia Pramestia; Herwanto, Dene
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 4 (2024): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v8i4.1508

Abstract

One of the most important elements in a trading company is inventory. Inventories are merchandise purchased and then stored for further resale in operations. The purpose of this research is that PT. X Karawang Branch can determine the right amount of inventory for oil filter spare parts so that their availability is maintained and can meet consumer needs. Double Exponential Smoothing and Moving Average are methods that are in accordance with the problems that occur at PT. X Karawang Branch, especially in the problem section of determining supply of oil filter spare parts. Forecasting oil filter product inventory using the double exponential smoothing method gives a result of 874 with an MSE value of 1302, while forecasting using the moving average method for a period of 3 months gives a result of 773 with an MSE value of 1135.728. Keywords: Double Exponential Smoothing, Forecasting, Moving Average  
Perhitungan Harga Pokok Penjualan Kaos Sablon Menggunakan Metode Full Costing Pada IKM Sinovec Nugraha, Luthfi Aditya; Debora, Fransisca
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 4 (2024): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v8i4.1519

Abstract

Sinovec SME is a medium-sized enterprise specializing in the production and services of garment convection, with its flagship product being screen-printed shirts. This study focuses on the calculation of the cost of goods sold using the full costing method, which takes into account all production costs, including raw materials, direct labor, and both variable and fixed factory overhead costs. The research combines field studies to gather necessary data and literature reviews to compare with previous research and provide references. Based on the profit and loss statement, it's evident that Sinovec achieved a profit of Rp 1,351,500 from selling 300 shirts in one month. With the cost of goods sold per shirt and an 18% profit margin from a selling price of Rp 70,000, Sinovec managed to attain significant profits. This demonstrates efficiency in cost management and appropriate pricing strategies. Consequently, Sinovec is able to maintain a healthy profit margin in its business. Accurate calculations and suitable pricing strategies are key to Sinovec's success in optimizing profitability in the competitive garment convection market. Keywords: Cost Production, Full Costing, Screen Printing
Usulan Perbaikan Tata Letak Kerja Proses Produksi Lempengan Paku Bumi menggunakan simulasi Promodel (Studi Kasus: PT GCE) Prastiyo, Muhammad Rizky; Sahroni, Nur; Rizky, Muhammad; Albani, Nabila Tiara
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 4 (2024): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v8i4.1555

Abstract

Increasingly tight competition in the business world encourages organizations to improve the quality of their output. PT GCE, a manufacturing company in the Sheet Metal industry, with output based on employment. In the manufacturing process various obstacles often arise which result in delays in the processing time. To address these issues, they use computer simulations, primarily ProModel, to identify and overcome bottlenecks in resource utilization, production capacity, and inventory levels. This research focuses on PT GCE and queuing problems caused by several production processes, with the author analyzing the use of ProModel to improve production systems and increase performance. As a result of this research, the author made improvements to the production process system in order to increase performance, which can be done by increasing the number of employees or operators on machines where there is a buildup of goods, combining the Welding and Fit Up processes in order to optimize production time and areas as well as bringing work stations closer together with related processes and optimize operator performance so there is no waiting time. Keywords: Computer Simulation, Factory Layout, ProModel  
Analisis Postur Kerja Menggunakan Metode REBA dan Kuesioner NBM Pada Operator Mesin Sizing SA-80 N1 di Industri Otomotif Yohanes, Ricky; Al-Muqaffa, Figar Wafiq; Kusnadi, Kusnadi
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 1 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i1.1557

Abstract

This research was conducted at a company engaged in automotive manufacturing which produces motorbikes and related spare parts. Based on the results of observations on the production process, especially the sizing process, it is still done manually and has the potential for musculoskeletal disorders. This research is an observational study with a cross-sectional design that focuses on Ergonomics and OSH (Occupational Health and Safety) studies. Data obtained by using the Nordic Body Map (NBW) questionnaire as a tool to measure workers' pain at or after work and using the Rapid Entire Body Assessment (REBA) method to analyze work posture. After completing the NBW questionnaire on 4 sizing machine operators, 1 operator with the highest total individual score of 46 was included in the low category and was then selected to calculate work posture using the REBA method. Based on the results of calculating work posture using the REBA method, the final REBA score is 8. This score indicates (action level) 4 with high-risk conditions and further investigation is needed to prevent Musculoskeletal Disorders (MSDs) in operators Keywords: Ergonomics, MSDs, NBM, REBA, Work Posture.
Analisis Beban Kerja dengan Metode Work Load Analysis pada Departemen Produksi di PT. X Al-Muqaffa, Figar Wafiq; Yohanes, Ricky; Winarsih, Neneng
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 1 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i1.1558

Abstract

Determination of the workload given by the company to employees must be considered. The workload analysis method is used to calculate the workload of a particular function within the company. This research was conducted at PT. X is engaged in special chemicals for various industries, ranging from paper, rubber, food, agriculture, oil mining, cosmetics and other industries. Therefore it is necessary to analyze the workload of employees in the production department because it is directly related to production activities carried out while working. The results of the identification of workload analysis based on the job description along with the hoursworked by employees and the determination of allowances (free time) show that production department employees have workloads, namely the production admin section with 1 employee by 79%, production foreman with 1 employee by 89%, and production operators with 1 employee by 82%, this shows that the workload provided is still in a safe condition. Keywords: Allowance, Ergonomics, Work Load Analysis
Penerapan Metode Economic Order Quantity dalam Pengendalian Bahan Pendukung Produksi pada Part N01072 di PT. F Arifin, Fathul; Winarno, Winarno
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 1 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i1.1561

Abstract

PT. F is a company operating in the automotive sector with products produced in the form of spare parts for cars and motorbikes. The problem faced by this company is the order made by the company when purchasing production-supporting materials which results in excess production-supporting materials, especially oil, this will result in high storage costs for the production-supporting materials and the company will incur additional costs for these expenses. The methods used to control production support materials are Economic Order Quantity (EOQ) and forecasting methods. For the quantity ordered for production support materials, after calculating using the probabilistic model EOQ method, it was found that it was 28 liters of oil per order in the period February 2023 to December 2023. In addition, the company can find out the reorder point and safety stock for the production support materials, each of which is 47 liters. and 41 liters, so that companies are better able to control oil supplies and the problem of excess/shortage of production support materials will not recur. Keywords: Economic Order Quantity (EOQ), Forecasting, Production Support Materials,  Supply
Pengendalian Kualitas pada Industri Kerajinan Sarung Tangan dengan Metode Six Sigma dan FMEA pada CV. XYZ Yosua, Yosua; Susetyo, Agustinus Eko; Susanti, Dyah Ari
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 4 (2024): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v8i4.1578

Abstract

XYZ is a company that produces gloves. Due to the resulting defects such as vague logos, slanted stitching, mold and loose stitching, the company needs to make quality improvements so that defects become 0%. The aim of this research is to carry out quality control using the Six Sigma and FMEA methods to determine the sigma value and determine the causes of defects and make recommendations for improvements to the highest defects. From the results of Six Sigma calculations, a sigma level of 3.6 was obtained, which means that it is sufficient and 197,300 defects can occur on a production scale of one million. The capability results with an average value of 1.15 indicate that it is only quite reliable on a scale of 1-2. FMEA shows the highest cause of failure is sewing machine jams which can cause skewed stitches. The recommended control plan is to carry out routine weekly machine maintenance. Common factors causing defects are lack of regular maintenance on production machines, worker negligence, worker fatigue due to hot weather, lack of strict supervision of workers during the production process, less skilled workers and humid air temperatures resulting in moldy gloves. Proposed improvements in overcoming defects include carrying out routine maintenance on all machines, carrying out strict supervision of workers, implementing SOPs with strict supervision, adding air conditioning facilities, and adding a sterilization process for finished glove products. Keywords: DMAIC, FMEA, Six Sigma 
Analisis Perhitungan Efektivitas Mesin Mobile Crusher Menggunakan Metode Overall Equipment Effectiveness (OEE) Di PT. X Anggraini, Meilani; Sidiq, Ahmad; Hartiwi, Intan
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 1 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i1.1611

Abstract

PT. X is a manufacturing company that produces cram rubber. One of the production processes that need attention is the milling process on mobile crusher machines. Machine is the highest support in the activities of a company, if the machine used in the production process is damaged it will cause a cessation of the production process. To maintain the condition of the machine, a good and appropriate care and maintenance system is needed so as to increase the effectiveness of the machine/equipment. The aim of this study is to analyze OEE calculations and identify factors that occur in mobile crusher machines based on the Six Big Losses at PT. X. OEE is a method that measures the level of effectiveness in the use of a machine by taking into account several points of view in the measurement process. The results of the study, it show the average of OEE value for mobile crusher machine during the June 2021 – July 2022 is 82,021% which shows that the machine’s ability to achieve targets and achieve effective use of machines is in the medium category, so improvements are needed to increase the OEE value to reach ideal conditions (≥85%). Meanwhile, the dominant type of waste is reduced speed losses. Keywords: Mobile Crusher Machine, Overall Equipment Effectiveness, Six Big Losses
Peramalan Permintaan Minyak Goreng untuk Perencanaan Kebutuhan Crude Palm Oil di PT. PQS Nesti, Lisa; Elviana, Rahmi; Azhara, Meysha
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 4 (2024): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v8i4.1616

Abstract

PQS is a company engaged in the processing of Crude Palm Oil (CPO). The production system employed is make-to-stock, with production planning based on estimates and without the implementation of any specific method for production forecasting. Consequently, this has led to unmet consumer demand, with consumers having to wait until the cooking oil is available and distributed (out of stock). The objective of this research is to forecast the demand for cooking oil to plan for CPO needs and to determine the forecasted results for five periods, spanning from August to December 2023. The methods employed include Single Moving Average and Single Exponential Smoothing, validated by the POM-QM application. Based on the calculation results using the Single Moving Average method, an MAPE (Mean Absolute Percentage Error) of 13.12% was obtained, while the Single Exponential Smoothing method resulted in an MAPE of 14.44%. The chosen method for obtaining the most accurate forecasting method for cooking oil demand for CPO needs is the Single Moving Average method, as it has a smaller error rate. Keywords: Forecasting, Single Moving Average, Single Exponential Smoothing

Page 20 of 35 | Total Record : 345

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