Publikasi Universitas Mercu Buana
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Determination of standard time with the stopwatch time study method at PT BI
No full textIn the manufacturing industry, the effectiveness of the work process is one of the key factors to increase the efficiency and competitiveness of the company. One of the main challenges is the accurate determination of standard working times, especially in processes involving manual inspections. Without a clear standard time standard, setting work targets is often not optimal, which can result in uneven workload, decreased productivity, and worker fatigue. PT BI is an automotive component manufacturing company that uses cold forging technology. One of the important processes in this company is visual inspection to guarantee product quality. However, the company does not yet have a standard time standard in the visual inspection process, so the daily target is determined based on the cycle time, which is less effective. This study aims to analyze the effectiveness of operators in using standard time in achieving targets. The study used the stopwatch time study method to measure the work cycle time in visual inspection operators. Data was collected through observations and interviews with operators as well as analysis using Minitab software. The results of the study show that the application of standard time is able to increase the effectiveness of operators in achieving daily targets. In addition, precise determination of standard timing provides companies with advantages with better process efficiency and reduced operator fatigue levels. In conclusion, the application of standard time can be the optimal solution to increase company productivity while maintaining worker welfare
Application of lean manufacturing in reducing cycle time in the cylinder head component at PT TM
No full textThe manufacturing industry continues to grow with intense competition, so companies need to improve efficiency and reduce waste in the production process. Lean Manufacturing with Kaizen approach is one of the effective methods to optimize workflow and reduce waste. PT TM faces problems in the production process, especially in the post 2 packing component cylinder head, where there are cycle time fluctuations that have an impact on production efficiency. To overcome these problems, the Lean Manufacturing method with Kaizen approach is applied to reduce waste and improve production efficiency. This study aims to analyze the effect of Kaizen implementation in reducing cycle time and identifying waste that occurs in the production process. The methods used include direct observation in the production line, data collection and analysis, and implementation of Kaizen-based improvements. The results showed that the implementation of Kaizen succeeded in reducing cycle time from 97 seconds to 80 seconds, with a takt time of 105 seconds. In addition, two types of waste were found, namely waiting for 25 seconds and motion for 6 seconds, which have been minimized through changes in layout and work procedures. The conclusion of this study is that the Kaizen method is effective in improving production time efficiency and reducing waste
Preventive maintenance scheduling using the periodic replacement and repair count limit policy approach on the Vacotin water heaters machine at PT XYZ
No full textManufacturing companies often face challenges in maintaining machine performance to avoid operational losses. PT. XYZ is a company engaged in the flat glass production sector. The company experienced problems from water heater engine damage caused by several factors; the main problem found was the frequent occurrence of extended failures due to maintenance errors that increased the risk of damage to the engine and stopped production. Therefore, the use of the intensity function is a concept that can predict engine failure by involving historical analysis of the damage using Weibull and exponential distributions to predict the time of failure. Thus, this analysis results in two maintenance policies that are compared, namely Periodic Replacement Policy (Policy 4) and Repair Count Policy (Policy 5). The results of the study show that Policy 4, with an optimal time to replace the engine every 923 hours or 39 days, results in lower maintenance costs (Rp 11,447,000) compared to Policy 5 (Rp 15,500,000) and an estimate where engine damage will begin to occur every T=200, and it is recommended to repair and replace the Main Unit every T=800. In conclusion, updating the preventive maintenance schedule with the implementation of Policy 4 can minimize maintenance costs and the risk of machine damage, thereby increasing the company's operational efficiency
Reducing reject cotter valve skyrocketing cylinder head parts in retainer Press Machine Process in the automotive industry
No full textThe automotive industry is an automotive company that produces various types of motorcycles, such as automatic, sport and cub. One of the processes is machining. This process is very important because quality is highly considered. In the machining process, the products produced are crankcase R, crankcase L, cylinder comp, cylinder head, crankshaft. Based on initial observations, this process found reject goods. In the cylinder head line machining area, especially the retainer press machine, there is a problem of reject cotter valve soaring and resulting in the repair process. This will have an impact on the addition of time to repair and product quality is reduced. PT XYZ is facing a problem with cotter valve soaring on the cylinder head product with daily report data for the last 3 months, the percentage of cotter valve soaring problems reaching 1.5% exceeding the maximum defect target of 0.5%. This study aims to reduce the level of reject cotter valve soaring during the retainer press machine pressing process. The method used is eight steps. One solution is to modify the punch size to adjust the urethane punch to work optimally. This process will have an impact on reducing the number of rejects. In addition, this repair also does not cause a repair process on the cylinder head part. The results of this study are very significant with the reduction in cotter cases soaring to 0.2
Designing fake nail product packaging at MSME dairy nails using the Quality Function Deployment (QFD) method
No full textDairy Nails is one of the MSMEs that provides quality artificial nail products in Bandung with various designs. In a survey conducted of Dairy Nails customers, there was a decrease in buying interest caused by customer dissatisfaction. One of the reasons for this is the false nail packaging that does not meet customer expectations. Packaging is an important factor in a product because it protects the product inside. Therefore, it is necessary to improve the packaging design of artificial nails that can increase consumer buying interest. Proposed improvements will be made using the Quality Function Deployment (QFD) method, which makes consumer needs a reference in product design. Thus, the proposed packaging design can meet consumer desires and expectations. The results of this study are designing false nail packaging according to customer wants and needs with specifications, namely polycarbonate plastic material, with a clamshell packaging shape, using a hinged lid method cover, with a font size of 12 pt; the font types used are Arapey and Moontime, and the proposed beige packaging has a logo and has dimensions of 8.5 x 8.5 cm. Thus, the packaging contributes to better showing the product, is informative, and can be reused by consumers.
Optimization of Impact and Thermal Performance of Phenolic Composites through Bentonite Reinforcement
No full textThis study aims to determine the effect of the addition of montmorillonite bentonite powder on the mechanical properties and burn resistance of phenolic resin-based composites. Composite samples were made with variations in bentonite weight fractions of 0%, 5%, 10%, and 15%. The impact test was carried out using the Izod method to determine the energy absorption and impact price, while the burn resistance was tested based on the ASTM D635 standard to determine the Time of Burning (TOB) and the Rate of Burning (ROB). The test results showed that the addition of bentonite lowered the impact price, with the highest value of 0.0082 J/mm² in the 0% fraction and the lowest of 0.0008 J/mm² in the 5% fraction. The highest absorption energy is obtained in the 10% fraction of 0.145 J. This decrease in mechanical performance is influenced by the inhomogeneous distribution of the catalyst and the presence of voids in the composite structure. In contrast, the addition of bentonite provides a significant increase in burn resistance. Composites with a fraction of 15% show the highest TOB of 20 seconds and the lowest ROB of 9.4 mm/min, indicating increased flame resistance. The mineral content of montmorillonite in bentonites, such as silica and alumina, contributes to slowing down the rate of combustion through increased material density and stable thermal properties. The results of this study show that montmorillonite bentonite powder has the potential to be used as a flame retardant additive in composite materials, but it needs to be studied further to maintain a balance between fire resistance and mechanical strength
Performance Analysis of R600a as a Replacement for R134a in a Household Refrigeration System
No full textThis study evaluates the performance of a 50-liter mini refrigerator using R600a as an alternative to the factory-default refrigerant, R134a. The experimental setup included pressure gauges and digital thermometers to measure key parameters such as temperature and pressure at critical points in the refrigeration cycle. Tests were conducted under two scenarios: no-load and a 4 kg chicken meat load. Initially, the system operated with R134a at 16 bar and 20 g charge before being evacuated and recharged with R600a at the same pressure. Data was collected over a 10-minute period under stable conditions and analyzed using a P-h (Pressure-Enthalpy) diagram to determine enthalpy, refrigeration effect, compressor work, and coefficient of performance (COP). The effect of using R600a, efficiency increased 4% without load and 7% with load operation compared to R134a system. While COP actual has increased 5% and 10% respectively. The results indicate that R600a offers comparable performance to R134a while presenting potential advantages in terms of energy efficiency and environmental impact. These findings contribute to the ongoing evaluation of R600a as a sustainable replacement for R134a in household refrigeration applications
UTILIZATION OF CORN COB WASTE AS COMPOSITE BOARD (FIBERBOARD) WHICH WILL BE USED AS SOUNDPROOF WALLS
No full textCurrently, Ciherang Village in Nagreg Regency has abundant corn plantations that serve as the primary livelihood for its residents. The villagers mainly utilize corn kernels for food processing or resale, while the corn cobs are partially used to produce briquettes. However, a large amount of corn cob waste remains unutilized, often discarded into rivers or left in front of houses, creating an unpleasant sight and odor.One potential solution is to process the corn cob waste into composite boards (fiberboard), which are planned to be used as soundproofing materials for rooms or motor vehicles. This initiative aims to promote waste utilization, recycling, and contribute to the green economy. To assess the soundproofing characteristics of the fiberboard, several tests will be conducted, including acoustic testing, Scanning Electron Microscopy (SEM) analysis, vibration, density, recovery, and water absorption testing
Mechanical Properties Analysis of Stainless Steel 304 Linear Guide Rail Using Autodesk Inventor and MATLAB
No full textThis study investigates the mechanical properties of a stainless steel 304 linear guide rail using a combination of Autodesk Inventor and MATLAB. The primary objective is to analyze the von Mises stress distribution, displacement, and safety factor of the linear guide rail under varying load conditions, as well as to develop a model representing the relationship between stress and strain. A detailed 3D model of the guide rail was created using Autodesk Inventor, followed by finite element analysis (FEA) to evaluate stress and strain distribution across different sections of the rail. The simulation was conducted to assess the structural response under multiple loading scenarios, ensuring its reliability for real-world applications. Furthermore, a linear regression analysis was performed using MATLAB to establish a predictive model correlating stress and strain, enabling more accurate forecasting of the material's mechanical behavior. The results revealed that the maximum von Mises stress obtained from the simulation was 23.595 MPa, with a corresponding maximum displacement of 0.397 mm. The safety factor analysis confirmed the rail's structural integrity, with a minimum safety factor of 10.595, well above the failure threshold. These findings indicate that the linear guide rail meets the necessary mechanical performance requirements for its intended application
Implementation of SVM Algorithm on Software Define Network to Detect and Mitigate DDOS Attacks on Network Servers
No full textSoftware Defined Network (SDN) is a network architecture that is very useful in the future where SDN can be used to manage network traffic on server networks. SDN can be implemented using a variety of controllers. In the controller the developer can configure it with various algorithms or other functions. At present, cyber crimes are increasingly numerous and dangerous. One of the most dangerous cyber attacks that is mostly carried out by both novice and professional hackers is the DDoS attack. DDoS attacks are aimed at crippling servers with server administration with multiple streams and packets. SDN as an architect for managing networks can be used to detect and counteract DDoS attacks so that servers are protected from these attacks. In this study researchers used SDN configured using the SVM algorithm to detect and mitigate DDOS attacks. In this study, the researchers obtained results where SDN with the SVM algorithm configuration obtained an accuracy rate of 99.67%. The SDN speed configured with the SVM algorithm does not exceed 0.30ms. Wireshark statistics show that SDN with the SVM algorithm configuration can stabilize and mitigate packets detected as DDOS