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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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Business Feasibility Analysis on Shark Fin Production at UD. Alvian, Fahri; Moh. Jufriyanto
Journal Knowledge Industrial Engineering (JKIE) Vol 12 No 1 (2025): 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.v12i1.5615

Abstract

This study was performed at UD. Rovita in Gresik City. UD. Rovita is a food manufacturing enterprise that makes shark fin chips and has never performed a business feasibility assessment throughout its operations. This research is to evaluate the viability of the shark fin chip enterprise at UD. Rovita. This research employs a cost-profit analysis methodology for data evaluation. To assess business feasibility, the formulas used are revenue cost (R/C), benefit cost ratio (B/C), and return on investment (ROI). The study's findings indicated that annual sales of shark fin chips amounted to Rp. 1,000,000,000, while manufacturing expenditures were Rp. 537,949,483 per year. The production expenses include fixed expenditures amounting to Rp. 519,600,000 and variable costs of Rp. 18,349,483 per year. The data analysis revealed a monthly profit of Rp. 462,050,517. The business feasibility calculation, represented by the R/C ratio, which compares income to total expenses, yields a result of 1.86, indicating that 1.86>1. The B/C ratio is the assessment of profit relative to total production expenses, which exceeds zero, with a comparative value of 0.86 or 0.86>0. The ROI value, derived from the comparison of profit and production capital, is 86%. It may be inferred that the firm is both lucrative and viable to operate.
Inventory Control of Raw Material Requirement in NPK Fertilizer Production Using the Min-Max Method at PT ABC Putri, Shelany Andhika; Tranggono
Journal Knowledge Industrial Engineering (JKIE) Vol 12 No 1 (2025): 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.v12i1.5842

Abstract

PT ABC, a company in the fertilizer and chemical industry. One of the fertilizer products produced is NPK fertilizer, which is highly beneficial for enhancing the quantity and quality of agricultural products, making it a crucial input for farmers. To ensure efficient production and customer satisfaction, it is necessary to calculate inventory control for raw materials for products. In this study, the forecasting method that has the lowest error value is the double exponential smoothing method with MAPE 12% and MAD 17311. Where the forecasting results for each raw material will be used to calculate raw material requirements with the min-max method. The minimum stock levels for Ammonia (NH3) are 3,981 tons; Sulfuric Acid (SA) 8,391 tons; Phosporic Acid (PA) 6,037 tons; DAP 16,578 tons; KCL 64,859 tons; ZA 9,485 tons; and Urea 114 tons. The maximum stock levels for Ammonia (NH3) are 5,292 tons; Sulfuric Acid (SA) 11,147 tons; Phosporic Acid (PA) 8,243 tons; DAP 8,243 tons; KCL 109,823 tons; ZA 12,312 tons; and Urea 169 tons.
Analysis on Effects of Process Parameters CNC Flame Cutting on Dimensional Inaccuracy Using Taguchi Method and ANOVA Prasetya, Reihan Rafly; Tranggono
Journal Knowledge Industrial Engineering (JKIE) Vol 12 No 1 (2025): 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.v12i1.5892

Abstract

Carbon steel is a primary material in various engineering applications that require cutting accuracy to maintain product quality. Advances in flame cutting technology in the manufacturing industry highlight the importance of understanding proper parameter settings. Incorrect parameter adjustments can lead to inaccuracy, material defects, and increased operational costs. In this study, the Taguchi method combined with ANOVA will be used to optimize dimensional inaccuracy in the CNC flame cutting process on SS400 steel plates. The effects of variations in cutting parameters, including cutting speed, gas pressure, and oxygen pressure, on the dimensional inaccuracy of the cut were identified. The analysis results show that gas pressure is the most influential parameter, with a contribution of 86.31%, followed by cutting speed at 6.06% and oxygen pressure at 2.42%. The optimal parameter combination for minimizing dimensional inaccuracy was found at a cutting speed of 319 mm/min, gas pressure of 4 bar, and oxygen pressure of 6 bar. These findings highlight the importance of adjusting gas pressure to improve cutting accuracy and reduce operational costs and time at PT XYZ.
Optimization of Production Scheduling to Minimize Makespan in the 54-Ton Flat Carriage Project at PT INKA Multi Solusi: Using the Nawaz, Enscore, and Ham (NEH) Method and A Case Study on the Application of Scheduling Optimization in Manufacturing Wilda, Erina Mu’rivatul; Sumiati
Journal Knowledge Industrial Engineering (JKIE) Vol 12 No 1 (2025): 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.v12i1.5912

Abstract

Efficient production scheduling is essential to achieve optimal operational goals in the manufacturing industry. This study aims to optimize production scheduling on a 54 Ton Flat Carriage manufacturing project at PT INKA Multi Solusi using the Nawaz, Enscore, and Ham (NEH) Method. The main focus of this study is to minimize the total completion time (makespan) in order to improve operational efficiency, reduce costs, and meet deadlines and quality standards that have been set. The NEH method is applied to compare the results with the method commonly used by the company, namely First Come First Serve (FCFS). The results show that the NEH method produces a smaller makespan (1.39 hours) compared to the FCFS method which produces a makespan of 1.41 hours. Thus, the NEH method is proven to be more efficient in reducing makespan and can be used as a reference for better production scheduling. This study also contributes to the allocation of limited resources such as machines, labor, and raw materials, in order to increase the company's productivity and competitiveness amidst the tight competition in the manufacturing industry
Quality Control of 3KG LPG Gas Cylinder Production with Six Sigma Approach at PT XYZ Muhamad Ihsan Nudin; Sukanta; Adrian Yudistira
Journal Knowledge Industrial Engineering (JKIE) Vol 12 No 1 (2025): 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.v12i1.6023

Abstract

Quality control is essential to ensure that products meet predetermined specifications and align with company policies. Based on PT XYZ’s production report from December 2023, the number of defective products requiring repairs was notably high, reaching 17.3% of the total 98,852 gas cylinders produced within 19 days. This study aims to evaluate the quality control performance and identify the factors influencing it. The Six Sigma DMAIC method was applied to assess performance. At the measurement stage, the Defects Per Million Opportunities (DPMO) was found to be 44,743, corresponding to a sigma value 3.203. The study identified four key factors contributing to production defects: machinery, materials, personnel, and methods. Although the company's quality control efficiency is deemed satisfactory, it has yet to prevent a significant sales decline of 20-40%. Therefore, implementing Six Sigma analysis is expected to uncover processes that can reduce manufacturing defects in 3 kg LPG cylinder production. By addressing these issues, the company can improve product quality, maintain customer satisfaction, and enhance competitiveness in the market.
DESIGN OF WORK AID TOOLS TO IMPROVE MAN POWER WORK POSTURE USING RULA METHOD (RAPID UPPER LIMB ASSESSMENT) PT.XYZ Sudiarto, Arya Dika; Khofiyah, Nida An; Feriaty, Syarah Rizkia
Journal Knowledge Industrial Engineering (JKIE) Vol 12 No 1 (2025): 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.v12i1.6043

Abstract

This research was conducted in the ACG-S Department with the object of observation of Man Power in the Wire Connection Soldering Stator Line 4B Process. With the aim of obtaining the value of Man Power's work posture and providing recommendations for improving work posture in the Wire Connection Soldering Process. To find out the data, the researcher used the Nordic Body Map (NBM) Questionnaire to find out subjective complaints from Man Power, then a work posture assessment was carried out using the Rapid Upper Limb Assessment (RULA) Method. The results of the Nordic Body Map (NBM) Questionnaire showed that 4 out of 6 Man Power complained of pain in the neck, back, shoulders, and waist areas, then from the results of the work posture assessment using the RULA method, a final score of 6 was obtained, which means that the Man Power's work posture position is at a high level (High) meaning that there is a high risk of Man Power getting Musculoskeletal Disorders (MSDs) and requiring posture improvement. Improvement of work posture is carried out by adding work aids, namely magnifying glasses and Poka Yoke Camera Soldering. After improving posture by adding work aids, the results of the work posture assessment using the RULA method obtained a final score of 3, which means that the Man Power work posture position after adding work aids is at a moderate level, which means that there is a moderate risk of Man Power getting Musculoskeletal Disorders (MSDs) and does not require action to improve body posture.
Quality Control Analysis on 100ML Bottle Products with Fault Tree Analysis Method Approach and Failur Mode and Effect Analysis Wahyu Purnomo, Denny; Hermansyah , Muhammad
Journal Knowledge Industrial Engineering (JKIE) Vol 11 No 3 (2024): 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.v11i3.6164

Abstract

This study analyzes quality control implementation for 100ml bottle production at PT. X using Fault Tree Analysis (FTA) and Failure Mode and Effect Analysis (FMEA) methods. Data collected from February 15-29, 2021, revealed a 1% defect rate (7,110 bottles) from total production (788,700 bottles). Pareto analysis identified three dominant defects: Thick-Thin Walls (30%), Oil Stains (28%), and Fraying (13%), accounting for 71% of total defects. FTA root cause analysis traced these defects to human factors (operator errors), machine issues (uneven cavity temperature, misaligned components), and material problems (plastic mixing inconsistencies). FMEA assessment prioritized corrective actions based on Risk Priority Numbers (RPN), highlighting critical failures: uneven cavity diameter (RPN=432), oil-contaminated blue cores (RPN=384), and faulty thermo-couples (RPN=280). Proposed improvements include scheduled cavity maintenance, compressor overhauls for clean air supply, and thermo-couples calibration during product changeovers. The integrated FTA-FMEA approach demonstrates effectiveness in pinpointing systemic quality issues in blow molding processes, providing actionable insights to reduce defects by 40-50%. This research contributes to operational excellence in plastic manufacturing by combining defect visualization (Pareto) with causal-depth analysis (FTA) and risk quantification (FMEA).
Production Scheduling Approach Using the Theory of Constraint (TOC) Method at PT. King of Indonesia Perkasa Suwayuwo Pasuruan Saikhu Rakhman , Muhammad; Pusakaningawati, Ayik
Journal Knowledge Industrial Engineering (JKIE) Vol 11 No 3 (2024): 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.v11i3.6165

Abstract

This research aims to overcome the problem of production delays at PT. The King of Indonesia Perkasa Suwayuwo Pasuruan by applying the Theory of Constraints (TOC). Production data shows that available capacity (870 units/month) is insufficient demand (1,000 units/month), with bottlenecks at workstations in week 4. Data collection methods include observation, interviews, and documentation studies. The solution tested was the addition of overtime (5 hours/day) and additional shifts (16 hours/day). The results showed that additional shifts were more effective, increasing capacity to 1,752 units/month and reducing delays by 20%. This research makes a practical contribution to production optimization through the identification of constraints and resource reallocation.
Production Process Scheduling Using the FCFS (First Come First Served) Method, at CV. Clean Industry Unit abu bakar s
Journal Knowledge Industrial Engineering (JKIE) Vol 11 No 2 (2024): 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.v11i2.6166

Abstract

CV. Unit Clean Industry, a household cleaning equipment manufacturer, faces significant production delays due to inefficient scheduling using the First Come First Served (FCFS) method, with 35% of orders delayed by 5–7 days in 2023. This study aims to evaluate the effectiveness of FCFS and identify root causes of delays, focusing on material shortages and machine maintenance issues. Using a mixed-method approach, primary data from interviews and observations were combined with secondary production records from November 2019 to April 2025. Critical Ratio (CR) analysis and comparative evaluation of FCFS against SPT, LPT, and EDD methods were conducted. Results showed FCFS achieved the shortest average completion time (10.75 days) and lowest average delay (4.5 days), despite minor utilization (44.18%) and work-in-process (2.26 jobs) disadvantages. The study concludes that FCFS remains effective for CV. Unit Clean Industry but recommends improving material supply chain and machine maintenance to further reduce delays.
Analysis of the Defect Level of Paving Stone DC 06 Products Using Six Sigma and FMEA Methods at PT. Duta Beton Mandiri Pasuruan Kusniah, Qonita; Munir, Misbach
Journal Knowledge Industrial Engineering (JKIE) Vol 11 No 3 (2024): 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.v11i3.6168

Abstract

The rapid development of the industry requires companies to improve the quality of products to maintain competitiveness. PT. Duta Beton Mandiri Pasuruan faces the problem of the high defect rate of DC 06 paving stone products, reaching 30.75% in March 2020, which has an impact on financial losses and customer satisfaction. This study aims to identify the type and cause of defects, calculate sigma levels, and provide recommendations for improvement using Six Sigma and FMEA methods. A quantitative approach is used to calculate DPMO and sigma levels, while a qualitative approach is applied to analyze the causes of defects through observation and interviews. The results showed a sigma level value of 2.52 and a DPMO of 178,827, indicating low process performance. FMEA analysis identified gopel defects as the main problem with the highest RPN (245). Improvement recommendations include employee training, machine calibration, material supervision, and SOP refinement. The implementation of this proposal is expected to reduce the defect rate and increase production efficiency. This research makes a practical contribution to the application of Six Sigma and FMEA for quality improvement in the manufacturing industry

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