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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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Quality Control Analysis in Minimizing Production Complaints at PT. Betts Indonesia with Statistical Process Control Method Ubaidillah, Habib; Rosyidi, Khafizh
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.v11i3.6192

Abstract

This study analyzes the implementation of quality control in PT. Betts Indonesia to minimize production complaints with the Statistical Process Control (SPC) method. Using a descriptive qualitative approach, the types of data were collected through several approaches, namely field observations, interviews with production staff, and analysis of complaint documents during the period from January 2021 to December 2021. The analysis was carried out using Statistical Process Control (SPC) tools including check sheets, Pareto diagrams, control maps, and fishbone diagrams. The results of the study identified critical defects such as Sideseam Failed by 29.8% and Wrong Label by 23.4% which accounted for at least 53.2% of the total complaints. Furthermore, the root cause analysis revealed four factors that were considered dominant, including: human error (improper machine operation), inconsistent materials (substandard raw materials), outdated methods (lack of standard procedures), and machine malfunction (old equipment). Recommendations include routine operator training, rigorous material inspections, process standardization, and preventive maintenance schedules.
IMPROVING THE QUALITY OF TEMPE PRODUCTS USING THE IMPLEMENTATION METHOD OF GOOD MANUFACTURING PRACTICE (GMP) AND MODEL BASED AND INTEGRATED PROCESS IMPROVEMENT (MIPI) IN TEMPE SROMO SMEs ananda
Journal Knowledge Industrial Engineering (JKIE) Vol 9 No 1 (2022): 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.v9i1.6193

Abstract

Mr. Muizzi's Tempe Sromo UKM is one of the largest Tempe UKM in Sromo. However, SMEs (Small and Medium Enterprises) Tempe Sromo in the production process do not pay attention to environmental cleanliness so that it affects the quality of the tempe products produced. Therefore it is necessary to carry out a Good Manufacturing Practice (GMP) assessment which aims to provide a concept of proposed improvements using the Model Based and Integrated Improvement (MIPI) method as an effort to improve the quality of the products produced. Based on the results of the Good Manufacturing Practice (GMP) assessment of Mr. Muizzi's Tempe Sromo, the overall value of the total application of GMP for all respondents obtained is 8145 points or an average of 247 points per respondent, while the percentage of deviation value is 46% and the value 54% conformity to the aspects of Good Manufacturing Practice (GMP) in Mr. Muizzi's Tempe East Sromo UKM which means that it does not meet the GMP criteria. Evaluation obtained from processing GMP data, the level ofseverity in the application of Good Manufacturing Practice (GMP) to Mr. Muizzi's Tempe Sromo SME which is 247 points, which means that it is at the classification level ((nx2) +1) to (nx3), which is very high. less fulfilling. The highest deviation value in the top five is in the laboratory aspect with a deviation value of 73%, 68% label, 49% storage, 48% building, and aspects of sanitation facilities with the aspect of production equipment getting the same deviation value of 47%.
DECISION SUPPORT SYSTEM FOR SELECTING THE BEST EMPLOYEES USING THE ANALYTICAL HIERARCHY PROCESS METHOD dalieh
Journal Knowledge Industrial Engineering (JKIE) Vol 10 No 2 (2023): 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.v10i2.6194

Abstract

Human resources are the most important part of the growth and development of a company. Company that can develop properly is certainly influenced by the quality of human resources which in this case are employees who work within the company. Determining the best employees is done not only by direct appointment by the leader or manager, however, a company must conduct a performance appraisal that has been carried out by its employees within a certain period of time, and of course there will be a reward for the success that has been achieved by employees. AHP is a method used to rank decision alternatives and choosing the best alternative decision when the decision maker has various criteria. With AHP decision makers can choose the best alternative that fits the decision criteria, and provide a ranking for each alternative decision based on the feasibility of each alternative that suits their needs. Based on the results of calculations that have been done using the method AHP found that KUD SUMBER REJO UNIT SKT obtain each value for the criterion knowledge a job of 0,663898, the criteria of responsibility of 0,312175 , communication criteria equal to 0,303925, attendance criteria of 0,150883, work productivity criteria of 0,116147, cooperation criteria equal to 0,050099, job initiative criteria of 0,001339. From the results of these scores the criteria for job knowledge is the highest priority in selecting the best employees.
Measuring the Efficiency of Contiform Machines with the Overall Equipment Effectiveness Method at PT Tirta Investama Pandaan Okistyawan, Beny; Asyari, Subchan
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.v11i3.6199

Abstract

PT Tirta Investama Pandaan Plant is a manufacturing company focused on mineral drinking water (Bottled Water) production. So as to produce a standards product need to take the role of the machine to help people to do it, in the production process machine performance is still not effectively and efficiently yet, so that need for machines maintenance and performance measurement. One method used to measure the effectiveness of that Overall Equipment Effectiveness (OEE). The principles contained in this method are Avaibility, Performance and Quality. From the results of research conducted Contiform machine OEE values obtained 75.62%. Therefore, according JIMP could not be categorized as a Word Class Company. It is necessary to Six Big Losses calculation that includes Equipment Failure Set up and Adjustment Losses, Idle Stopppage Minor Losses, Reduce Speed Defect and Rework Quality and Yield or Losses. Six Big Losses From calculations carried out, there are 2 types of losses are dominant, namely Idle Minor Stopage with a percentage of the value of the Reduce Speed 13:53% and amounted to 29.82%. So do need root cause analysis that includes human factors, machine, material and method with fishbone diagram.
Implementation of the Value Stream Mapping Method in the Process of Mixing Paving Block Materials to Reduce Waste in the Production Process at UD. Am Jaya Muchammad, Alif; Misbah, Achmad
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.v11i2.6202

Abstract

This study addresses critical inefficiencies in the paving block production process at UD. AM JAYA, where significant waste was identified in the material mixing stage, including excessive non-value-added time (31%), inventory bottlenecks, and suboptimal layout design. The research aims to systematically identify waste types using Lean Manufacturing principles, quantify production losses, and develop actionable improvements to enhance operational efficiency. Employing Value Stream Mapping (VSM) methodology, the study combines direct observation, time-motion studies (10 repeated measurements per process), and waste quantification through Current and Future State Mapping. Key findings reveal transportation waste (26% of total waste time) and waiting time (22%) as dominant issues, stemming from fragmented workstations and manual material handling. Implemented solutions - workstation consolidation, optimized material flow paths, and semi-automated equipment upgrades - yielded measurable outcomes: 18.24% reduction in cycle time (3,393.46 to 2,774.24 seconds), 24.24% shorter lead time (3.3 to 2.5 days), and elimination of 16.99 seconds of inter-station transportation.
Shoe Product Marketing Strategy Using SWOT Analysis Method with IFAS and EFAS Matrices at PT. Bagoes Tjipta Karya syafaat; Wahid, Abdul
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.v11i2.6203

Abstract

The marketing strategy of shoe products at PT. Bagoes Tjipta Karya was analyzed using the SWOT method with the IFAS (Internal Factor Analysis Summary) and EFAS (External Factor Analysis Summary) matrix approaches. This research aims to identify internal and external factors that affect the competitiveness of companies in the midst of increasingly fierce competition in the shoe industry. Data was collected through observation, interviews, and documentation studies, then analyzed by giving weight and rating to each factor. The results of the study show that the company's main strength lies in its business-friendly working principles, a simple bureaucratic system, and competitive production prices. Meanwhile, the weaknesses include less than optimal digital promotion and low quality of human resources. Externally, opportunities such as potential markets and high industrial growth must be taken advantage of, while threats such as local competition and fluctuations in raw material prices need to be addressed. Based on the analysis, the company is in a stable growth strategy position, with strategic recommendations such as increasing production capacity, improving digital promotion, and strengthening the marketing network. These findings make a practical contribution to the development of adaptive marketing strategies for the local shoe industry.
Design of Brick Lifting Aids Based on Anthropometric Data to Reduce Physical Complaints in the Production Process at UD Jaya Usaha sono, Roma
Journal Knowledge Industrial Engineering (JKIE) Vol 10 No 3 (2023): 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.v10i3.6204

Abstract

This study aims to design an ergonomic lifting aid tool based on anthropometric measurements to reduce physical complaints experienced by workers during the batako (concrete brick) lifting process at UD Jaya Usaha. Preliminary observations and interviews with company owners revealed frequent complaints of pain in the lower neck, waist, and both arms due to manual lifting activities. The research method includes direct field observation, anthropometric data collection, and analysis using data adequacy and uniformity tests. The design process refers to ergonomic principles and utilizes key anthropometric dimensions to ensure the lifting tool suits the workers' body posture and comfort. Results show that the proposed tool effectively reduces physical strain and categorizes the lifting activity as safe. The company is advised to implement the designed tool and re-evaluate its current work posture policy to improve worker health and performance.
Optimization of Distribution Routes for Srikandi MSMES in Samarinda Using VRP Method: A Comparative Study of CWS and CFRS Hasdi, Rani Anjelika; Isharyani, Muriani Emelda; Wahyuda
Journal Knowledge Industrial Engineering (JKIE) Vol 12 No 2 (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.v12i2.6356

Abstract

This research aims to optimize the distribution route of snack products for UMKM Srikandi Samarinda using the Vehicle Routing Problem (VRP) approach. The main issues are high travel distances, fuel costs, and delivery times due to the absence of route optimization. Two VRP solution methods are compared: Clarke and Wright Savings (CWS) and Cluster First Route Second (CFRS). The CWS method reduces travel distance by combining routes based on the highest distance savings between customer points, maximizing vehicle capacity. The CFRS method groups customer points into clusters using the Sweep algorithm based on proximity to the depot and determines the visit sequence within each cluster using the Nearest Neighbor method. Results show CFRS achieves better distribution efficiency. On the first route, CFRS traveled 94.1 km using 7 liters of fuel (Rp88,550), while CWS traveled 113.7 km using 9 liters (Rp113,850). On the second route, both methods covered about 75 km with similar fuel costs (Rp75,900), but CFRS was more consistent in savings, with the highest efficiency at 63.28%. With a total fuel cost saving of Rp140,939 compared to the initial condition, CFRS is recommended as the optimal solution, capable of reducing distance, operational costs, and improving delivery effectiveness.
Analysis of Dump Truck Spare Parts Inventory Control Using the EOQ Lot Sizing Method at PT XYZ Alnadhif, Delvio Raditya; Sitania, Farida Djumiati; Wahyuda
Journal Knowledge Industrial Engineering (JKIE) Vol 12 No 2 (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.v12i2.6102

Abstract

PT XYZ operates in hauling, mining, and road maintenance. At one of its operational sites, the company only orders spare parts when stock runs out, leading to frequent orders, increased operational costs, and disruptions due to stock shortages. Effective inventory management is essential to ensuring sufficient stock availability while minimizing costs. This study focuses on optimizing spare parts inventory for Dongfeng dump trucks using the Economic Order Quantity (EOQ) method. EOQ determines the optimal order quantity by balancing ordering and holding costs, aiming to reduce total inventory expenses. Demand forecasting is conducted to support inventory optimization. The findings indicate that implementing EOQ significantly lowers total inventory costs compared to the company’s current approach. The EOQ model results in a total inventory cost reduction of 39.15%, saving IDR 10,514,286. The analysis highlights that ordering and holding costs play a crucial role in inventory expenses. These insights can serve as a reference for PT XYZ in developing more efficient inventory management policies to improve operational continuity and reduce the risk of downtime due to spare parts shortages.

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