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In the#world of work assessment, it is very important, every organization will develop the best strategy to be able to compete. Especially in improving employee performance. The background to good employee performance is the ability to adapt, having skills that are relevant to the job, and the willingness to continue learning and developing. Thus, companies can achieve brand goals more effectively and efficiently. Similar to other companies, PT. Hilfic also carries out performance assessments of its employees. In this research, employee performance assessment uses a strategy based on Key Performance Indicators (KPI). The aim of this research is to identify factors that influence employee performance, such as motivation, competence, work environment, etc. The method used uses qualitative methods. The research results show that there is a positive and significant influence on employee performance, especially on quality and quantity after the company implemented Key Performance Indicators (KPI) as an assessment of its performance.

The purpose of this study was to determine the effect of pulley angle variations of 13.5ᵒ and 14ᵒ and roller weight variations of 12 g, 14 g, and 16 g on the torque of a 150 cm3 automatic motorcycle. The method with a quantitative approach the method used is the experimental method. For the sample of this research is a type of pulley and 3 types of rollers with different slopes and weights where the angle varies to test the 150 cm3 matic motorcycle torque used. From the results of this study results in a value where the Fcount value is greater than the Ftable means that the null hypothesis (H02) is rejected and the alternative hypothesis (H22) is accepted or the mass of the roller has an influence on torque, the Fcount value is greater than the Ftable means that the hypothesis (H01) is rejected and the alternative hypothesis (H11) is accepted or the mass of the roller has an influence on torque, and that the interaction between pulley angle and roller mass does not affect, and the Ftable value is lower than the Fcount value that the hypothesis (H03) is accepted and the alternative hypothesis (H33) is rejected, roller mass affects torque.

Employee training and development is an activity that aims to improve employee competence, knowledge and attitudes in achieving achievement. This training is provided to both new employees and existing employees who still need training and retraining. In practice, training is a short-term development process that uses a structured and organized operating system, with the main aim of improving employee performance and opening up career opportunities. Employees need to have sufficient skills and knowledge, and one way to meet these needs is through training programs designed to improve the quality of human resources. In this way, employees can achieve their desires and ultimately get the expected results.  

Air pollution and oil reserves are two major issues in the technological development of the automotive industry. Air pollution is caused by gases from burning fossil fuel vehicles. In 2018-2019 Indonesia experienced a drastic decrease in petroleum resources by 49.8%. To overcome this problem, many researchers have conducted research on electric vehicles, including electric bicycles. This study aims to determine the effect of distance and load on BLDC motor power consumption on a prototype e-bomber electric bicycle designed for all terrains such as rocky, sandy, and muddy, and has a large battery capacity, low power consumption, and an electric motor with good speed and torque. This research uses a pseudo-experimental method with a quantitative approach. Tests were carried out on e-bomber electric bicycles with distances of 3 km, 5 km, and 8 km and loads of 60 kg, 70 kg, and 80 kg with a speed of 25 km / h. The results showed that there was an influence of distance and load on the e-bomber electric bicycle. The results showed that there was an effect of distance and load on BLDC motor power consumption with the results of graph analysis and two-way ANOVA tests conducted and the lowest average power consumption of 500 watts at a distance of 3 km and a load of 60 kg, while the highest average power consumption was 522.5 watts at a distance of 8 km and a load of 80 kg.

Work safety is always a priority, especially in the mining world which has a high potential for danger. Therefore, there are many regulations that must be obeyed, including the prohibition of smoking in the cabin of the Dump Truck unit. This study aims to design a cigarette smoke detector in the cab of a dump truck as a form of warning to drivers who violate the ban on smoking in the cab. The method used in this research is a quantitative method by conducting experiments. The research conducted is to analyze the effect of smoke thickness levels (20%, 40%, and 60%) on different sensor types (MQ-4 and MQ-7). The expected result is the effect of smoke thickness variation on the response time of different sensors.

The coal blending process conducted by PT. Bukit Baiduri Energi (PT. BBE) aims to achieve coal quality specifications that align with customer requirements. PT. BBE possesses multiple coal seams with varying quality characteristics, necessitating a carefully planned blending system with precise proportions to produce coal products that meet market demands. The objectives of this study are: to plan the quantity and quality parameters for coal blending, to evaluate the actual outcomes of coal blending in terms of quantity and quality, and to identify the factors contributing to discrepancies between the planned and actual coal quality following the blending process. To determine the optimal quantity and quality of each coal product in the blending plan, the simplex method was employed with the assistance of POM-QM for Windows version 5 software, alongside the weighting factor method. The final coal blending plan resulted in a total of 55,000 MT with the following quality specifications total moisture of 20.00% (ar), ash content of 6.10% (ad), total sulfur of 1.65% (ad), and a calorific value of 5,350 kcal/kg (ad). The actual blending outcome yielded the same quantity of 55,000 MT, with quality parameters as follows: total moisture of 20.18% (ad), ash content of 5.60% (ad), total sulfur of 1.35% (ad), and a calorific value of 5,340 kcal/kg (ad). The analysis of quality discrepancies revealed several contributing factors the presence of water accumulation in the ROM Stockpile following rainfall, which increased total moisture, the inadvertent inclusion of foreign materials into the feeder, resulting in elevated ash content, the unintentional mixing of coal from different product types, which led to inconsistencies in total moisture, ash content, total sulfur, and calorific value, and the rise in total moisture, which adversely affected the calorific value.

Each workplace has a different potential risk of work accidents depending on the type of industry, technology used, and risk control efforts undertaken by the company. Work accidents are generally caused by two main factors: unsafe acts by humans and unsafe working conditions. In this context, occupational safety and health (K3) is an important aspect that must be implemented in every company to protect workers from hazards that can cause losses, both physical and work productivity. Law No. 13 of 2003 concerning Manpower mandates that every worker has the right to occupational safety protection. This study focuses on UD. Fuad Las Jaya, a company engaged in construction and welding services. This company has a fairly high potential for work accidents considering the type of work performed. Based on employee attendance data in 2025, there is a level of discipline that can be related to working conditions and perceived safety. The severity of accidents is classified into three categories: light, moderate, and severe, which indicates the importance of implementing an effective K3 system. It is hoped that consistent awareness and implementation of K3 will create a safe, healthy, and productive work environment, as well as reduce the number of work accidents in the construction sector.

In the automotive manufacturing industry, efficiency in quality control is a crucial factor to ensure consistent product quality. Conventional Quality Assurance (QA) processes using manual record-keeping often face challenges such as delayed reporting, human errors, and difficulty in tracking historical data. This study aims to design and implement a QA performance dashboard based on digital forms at PT Dharma Polimetal, Tbk, to enhance efficiency in production quality control. The research methodology includes direct field observation, collection of production and QA data, mapping of QA process flows, interactive dashboard interface design, and system trial implementation. The designed dashboard focuses on four main aspects: QA Incoming, QC Line, QC Gate, and Customer Handling, each containing measurable performance indicators and quality parameters. Initial implementation results indicate significant improvements in QA process monitoring, faster reporting of inspection results, and easier real-time data access for both production teams and management. The system enables early detection of potential quality issues, supports rapid decision-making, and facilitates internal and external audits. Moreover, the use of digital forms within the dashboard enhances data accuracy, minimizes human error, and creates structured historical records for long-term analysis. This study provides a tangible contribution to the digitalization of QA systems, strengthening sustainable quality control practices in the automotive industry, thereby ensuring consistent productivity and product quality.

Acid mine drainage (AMD) is one of the major environmental problems arising from coal mining activities. AMD is formed through the oxidation of sulfide minerals, resulting in acidic water with high concentrations of dissolved heavy metals. This condition is characterized by elevated levels of Fe, Mn, and total suspended solids (TSS), which, if left untreated, can pollute nearby water bodies, damage aquatic ecosystems, and pose risks to human health. Therefore, effective, eco-friendly, and low-cost treatment methods are needed to minimize the negative impacts of AMD. This study aims to investigate the effect of activated carbon derived from sugarcane bagasse as an adsorbent for reducing Fe, Mn, and TSS levels in AMD at the sump of PT Alreksa Bara Mitra. The selection of sugarcane bagasse is based on its abundance as an agro-industrial waste and its high lignocellulosic content, making it a potential raw material for activated carbon. The research involved the preparation of activated carbon through carbonization and activation processes, followed by its application to AMD samples with variations in adsorbent dosage and contact time. Laboratory analyses were conducted to measure the concentrations of Fe, Mn, and TSS before and after treatment. The results showed that sugarcane bagasse-based activated carbon significantly reduced Fe, Mn, and TSS concentrations. The highest removal efficiencies were achieved under optimum conditions, reaching 93.14% for Fe, 95.05% for Mn, and 85.04% for TSS. These findings demonstrate that activated carbon from sugarcane bagasse has a strong adsorption capacity for dissolved metals and suspended solids in AMD. In conclusion, sugarcane bagasse-derived activated carbon has potential as an environmentally friendly and cost-effective alternative for AMD treatment, while simultaneously providing added value to agro-industrial waste. This research is expected to serve as a reference for the development of more sustainable mine wastewater treatment methods.

This study aims to analyze the welding results between two commonly used methods, namely Gas Tungsten Arc Welding (GTAW) and Shielded Metal Arc Welding (SMAW), using radiographic testing methods. Welding is an important process in industry that affects the quality and strength of metal joints. In this study, we will examine the quality of welding results from both methods through radiographic testing, which serves to detect defects in welded joints. The GTAW method is known for its cleaner results and minimizes defects, while SMAW is often used because of its convenience and lower cost. The welding process is a crucial factor in ensuring the durability and performance of metal structures, and selecting the right welding method is essential for specific industrial applications. This study will compare the two methods based on the results of radiographic and tensile tests, evaluating factors such as weld strength, defect occurrence, and structural integrity. The analysis will also examine the advantages and disadvantages of each method in terms of weld quality, cost-effectiveness, and practical applications in different industries. It is hoped that the results of this study can provide deeper insights into the selection of the right welding method for industrial applications, as well as contribute to the development of welding technology. Furthermore, the findings will support improvements in quality control and provide a scientific basis for future welding practices in various manufacturing sectors.

In manufacturing industries, machining processes play a critical role in ensuring product quality, precision, and production efficiency. However, in the production of swing arm parts, the machining process has been identified as a bottleneck due to its non-optimal cycle time. One of the main issues contributing to this inefficiency is the disorganized handling of circlip inner parts. These components are often scattered without a designated placement system, which creates significant difficulties for operators when retrieving and installing circlips onto the swing arm. Such abnormalities disrupt workflow continuity, extend production time, and reduce overall productivity. To address this challenge, a circlip feeder machine was designed as a supporting device to assist operators and streamline the machining process. The design emphasizes efficiency, integration, and systematic operation by utilizing readily available workshop materials. The developed feeder machine is equipped with a robust frame construction and has a storage dimension capable of accommodating up to 200 circlips. In addition, mechanical analysis demonstrates that the feeder structure can withstand a maximum applied force of 31,475 N, ensuring durability and reliability during operation. The introduction of this circlip feeder machine directly impacts the production process by reducing operator workload, minimizing delays caused by disorganized parts, and ensuring faster and more accurate installation of circlips. Consequently, the overall machining cycle time is shortened, thereby improving production flow and enhancing the efficiency of swing arm part manufacturing. Beyond immediate time savings, the use of the feeder machine contributes to better resource utilization, reduced ergonomic strain on operators, and improved consistency in product quality. This study highlights the significance of simple yet effective mechanical innovations in overcoming production bottlenecks and optimizing manufacturing processes in automotive component industries.

Occupational Health and Safety (OHS) is a systematic effort aimed at protecting workers from the risks of accidents and work-related diseases. The implementation of OHS integrated with risk management helps identify, evaluate, and control potential hazards effectively in the workplace. This study was conducted at PT. Sarana Sampit Mentaya Utama, Balikpapan Branch, a company engaged in asphalt production. The main objectives of this research were to identify potential hazards, determine appropriate control measures, and evaluate the role of the Job Safety Analysis (JSA) method in supporting OHS. The research method used is JSA, which involves identifying each work step, determining the likelihood and severity of risks, and calculating the risk rating to assess the level of risk. The results showed that there are three potential hazards with a medium-risk category, namely in the activities of raw material mixing, quality control, and asphalt distribution. Additionally, three potential hazards with a low-risk category were found in the processes of raw material weighing, raw material transfer, and pump line valve opening. Recommended control measures to reduce risks include the use of appropriate personal protective equipment (PPE) for each task, improving work facilities and infrastructure, and implementing proper load lifting procedures. The application of JSA has proven effective in raising the company's awareness of potential risks in the workplace. This has led to the implementation of better preventive measures, ultimately contributing to the creation of a safer, healthier, and more productive work environment. Therefore, the integration of OHS with risk management at PT. Sarana Sampit Mentaya Utama plays a significant role in safeguarding the safety and well-being of workers.

This study aims to analyze the causes of component failure in the Power Train system of unit OHT773E CO2278 at PT. Cipta Kridatama, Samarinda, using the Root Cause Failure Analysis (RCFA) method. The Power Train system is responsible for transferring power from the engine to the final drive and other components, making it critical for the operational success of heavy equipment. Therefore, optimal maintenance is essential to prevent fatal failures that could impact the unit's performance. Based on the analysis, the dominant cause of failure is human factors, particularly technician negligence during component installation. This negligence results from a lack of understanding of the procedures and specifications recommended by the manufacturer, leading to incorrect installation of components. This failure impacts the achievement of the component’s expected lifetime, thus shortening the operational life of the components and increasing the risk of more severe damage. This also leads to higher repair costs and reduced unit productivity, resulting in longer downtime. To address this issue, several preventive measures are recommended, such as regular training for technicians to enhance their understanding of correct procedures and specifications, as well as the importance of following manufacturer guidelines during every maintenance and installation process. Additionally, it is advised to conduct routine discussions between technicians and supervisors to ensure that every maintenance step and installation complies with the established procedures. Increased oversight of the installation and maintenance process is also necessary, along with periodic rejuvenation of components to ensure the optimal performance of the Power Train system. Strengthening Preventive Maintenance (PM) practices is also crucial to minimize future damage potential. Implementing these solutions is expected to enhance the reliability of the Power Train system, extend component lifespan, and reduce failure frequency, ultimately improving the overall efficiency and productivity of the company.

The Terminal Loading Area (TLA) API at PT Pertamina Hulu Mahakam functions as a facility for processing oily water before being discharged into the environment. One of the main issues faced is the accumulation of thick floc (oil clumps) due to high emulsions in crude oil, along with the malfunctioning water spray valve on line 1, causing operators to resort to manual spraying using hydrant water. This increases the risk of exposure to hazardous chemicals such as Benzene, Toluene, and Xylene (BTX), which poses a health threat to workers. Therefore, improvements to the water spray system are needed to reduce BTX exposure and enhance the effectiveness of oil-water separation. This study aims to analyze the effectiveness of proposed improvements to the water spray system to reduce BTX exposure and improve the efficiency of oil-water separation. The methodology used includes literature review, field study, and technical testing. Proposed solutions include replacing or repairing the damaged water spray valve, adding piping networks to compartment 2 to distribute water more evenly, and using treated water (produced water) to optimize the system and reduce reliance on hydrant water. The results of the study indicate that replacing or repairing the water spray valve, adding piping networks, and using produced water effectively reduce BTX exposure while maintaining oil recovery effectiveness. The trials also showed that using the Oil Pump (P-3230 & P-3235) provides optimal pressure (8–9 barg) for water spray, compared to the less effective Water Pump (P-3200 & P-3205). Implementing these solutions is expected to reduce BTX exposure for workers, improve oil-water separation efficiency, and contribute to a safer and more efficient working environment.

This study analyzes the effectiveness of implementing predictive maintenance (PdM) on the final drive components of the Komatsu PC200-8 unit at PT. Antareja Mahada Makmur, Site PT. Multi Harapan Utama, East Kalimantan, in an effort to reduce downtime and operational losses. Before the implementation of PdM in 2022, there were 12 repair cases for the final drive with a total downtime of 772.1 hours, repair costs amounting to IDR 310.6 million, rental income loss of IDR 208.03 million, and total losses of IDR 518.63 million. In 2023, during the PdM transition phase, the number of cases decreased to 4, with a total loss of IDR 252.05 million, although downtime remained high (714.6 hours) due to the limited scope of PdM implementation on certain units and components. In 2024, with full PdM implementation, the number of repair cases decreased to 5, with total downtime of only 96 hours and losses of IDR 45.75 million. The cost of PdM implementation for the year was only IDR 21.9 million. As of July 2025, no further damage to the final drive has been recorded, demonstrating a significant improvement in equipment reliability. The reduction in total losses from 2022 to 2024 amounted to IDR 472.88 million, indicating PdM’s effectiveness in avoiding significant costs through condition monitoring methods such as oil analysis, magnetic plug rating, thermal inspection, and oil leak testing (floating seal). The findings of this study confirm that PdM is effective in reducing downtime, repair costs, and enhancing asset management in the mining sector. It also improves equipment reliability and overall operational efficiency, proving PdM to be a successful strategy in reducing losses, increasing productivity, and supporting the sustainability of company operations.

Batteries are the primary component in electric motorcycle propulsion systems, playing a crucial role in storing and supplying energy. However, batteries have a limited lifespan, potentially becoming waste after their useful life. Battery waste is categorized as hazardous and toxic waste (B3) because it contains heavy metals and chemical compounds that can negatively impact human health and the environment if not managed properly. As the adoption of electric motorcycles increases in Indonesia, particularly in the Special Region of Yogyakarta (DIY), the issue of battery waste management is becoming increasingly important. Currently, there are no electric motorcycle manufacturers openly willing to manage post-life battery waste, particularly through recycling activities. This situation creates a gap that informal actors could potentially exploit. Informal actors often possess flexibility and basic technical skills, but their capacity to manage battery waste safely and sustainably still needs to be mapped and strengthened. This study focused on mapping the potential capabilities of informal actors in the Special Region of Yogyakarta by 2025. The results indicate that the potential for informal actors capable of providing battery repair services is only around 1%. This figure is very small and therefore insufficient to support future battery waste management needs. Therefore, multi-stakeholder support is needed, from the government and manufacturers to the community, to encourage capacity building among informal actors. This effort is crucial to anticipate the success of the government's 2030 target for electric vehicle conversion, while also ensuring environmental sustainability.

This study aims to analyze the factors that affect passenger satisfaction at the airport through three main perspectives, namely: service, technology, and operations. The approach used is a literature study of ten scientific journals that discuss airport service quality from various aspects. The results of the study show that service quality, especially those covering SERVQUAL dimensions such as reliability, responsiveness, empathy, assurance, and physical evidence, plays a major role in shaping service user perceptions. The technology perspective, through the implementation of self-service such as self check-in, Flight Information Display Sistem (FIDS), and digital service applications, is proven to increase efficiency and convenience, even contributing up to 96.8% to user satisfaction according to one study. Meanwhile, from an operational perspective, aspects such as queue time at check-in counters, public facilities, and accessibility to the terminal also have a significant impact on the overall passenger experience. The conclusion of this study emphasizes the importance of integration between the three perspectives in designing strategies to improve airport service quality. Suggestions are given to airport managers to continue to improve services, expand technology adoption, and reorganize operations to create a safe, comfortable, and satisfying travel experience for all service users

The rise in motor vehicle theft cases in various regions indicates the weakness of the security systems implemented by most users. Systems such as manual locks and alarms often fail to prevent crime, either because they are easily hacked conventionally or due to user negligence in their operation. In today's technological era, a system is needed that is not only secure, but also intelligent and practical. One promising solution is the implementation of a facial recognition-based security system. This study aims to design and test a vehicle security simulation system using facial recognition technology integrated with Arduino Uno and MATLAB. This system utilizes a laptop camera to capture the user's facial image, then performs a detection and verification process using the FaceNet algorithm. If the face is recognized and verified with data stored in the database, the Arduino will activate the actuator components in the form of a DC motor to simulate starting the engine, and a servo motor to simulate opening the vehicle door. This study uses a quantitative experimental approach to analyze the effect of variations in distance (30, 40, and 50 cm) and lighting brightness levels (10–20, 21–30, and 31–40 lux) on the system's response time. A total of 27 combinations of conditions were tested, and the data obtained were analyzed using Microsoft Excel and ANOVA tests in Minitab software. The results of the analysis showed that the optimal response time was obtained at a distance of 40 cm with a medium level of illumination (21–30 lux). In addition, both distance, brightness, and the interaction between the two factors were shown to have a significant effect on the system's response time (P-Value < 0.05). These findings indicate that the system is quite sensitive to environmental changes, so further testing is highly recommended, especially to measure the actual delay, the detection error rate, and the development of a more robust face detection algorithm so that the system can be used reliably in various lighting conditions and face capture angles in the real world.

This study aims to analyze the effect of variations in screw conveyor speed and cutting blade on an automatic meatball molding machine in producing meatballs weighing between 15 and 20 grams. The research method used a design of experiments (DOE) approach with a factorial design, followed by a two-way ANOVA analysis to test the effect of each factor and their interactions. The screw conveyor speed variations used were 160 RPM, 140 RPM, and 124 RPM, while the cutting blade speed was varied at 224 RPM, 186 RPM, and 160 RPM. The speed variations were obtained by adjusting the pulley ratio on the machine. The testing process was carried out by molding meatballs using a combination of these speed variations, then boiling them until they float to ensure doneness. After that, the mass of each meatball was weighed with a precision scale. The weighing data were processed using Microsoft Excel and Minitab 21 software to obtain accurate statistical analysis. The results showed that increasing the screw conveyor speed tended to increase the meatball mass, while increasing the cutting blade speed actually decreased the mass of the meatballs produced. The interaction between screw conveyor speed and cutting knife speed was statistically significant with a p-value ≤ 0.05, indicating that the combination of the two plays an important role in determining the final meatball mass. Through Response Optimization analysis, the most optimal combination for producing meatballs with a mass in the range of 15–20 grams is a screw conveyor speed of 124 RPM and a cutting knife speed of 160 RPM. This setting can be achieved by using pulleys with diameters of 114.3 mm (4.5 inches) and 88.9 mm (3.5 inches). These findings are expected to be a reference for meatball industry players, especially MSMEs, in increasing production efficiency and maintaining product size consistency.

This study aims to analyze passengers' understanding of prohibited items at Terminal 2 of Juanda International Airport and evaluate the effectiveness of information delivery strategies implemented to support aviation safety and security. The research uses a descriptive qualitative method with data collection techniques such as observation, interviews, and documentation. The findings show that most passengers, particularly elderly individuals, still do not have a clear understanding of the difference between items allowed in the cabin and those that must be placed in checked baggage. Information regarding prohibited items is only discovered when passengers reach the security check area (PSCP), which is considered too late, causing panic and discomfort among passengers. The main factor contributing to the low level of understanding is the unstrategic delivery of information and the lack of engaging communication media. Although information about prohibited items is available through posters and announcements, these methods do not effectively attract passengers' attention. Passengers often overlook the information placed in less visible or strategic locations. This indicates that the current information media have not been effective in providing significant impact on passengers' understanding. This study recommends several steps to improve passenger understanding. The placement of more effective information media, such as eye-catching educational banners and 3D video displays at the departure entrance area, is expected to attract more attention from passengers. Additionally, the use of digital platforms, such as airport apps or social media, could be an effective way to deliver information to passengers before they arrive at the airport. With these strategies, passengers can better prepare and avoid potential mistakes during security checks, thus supporting the smoothness and safety of their flights.