Universitas Putera Batam (UPB): Open Journal Systems
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    ANALISIS SISTEM PENGENDALIAN INTERNAL TERHADAP PELUNASAN PIUTANG DOORING PADA PT YUDHISTIRA PERKASA ABADI

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    This study aims to analyze the internal control system over accounts receivable settlement at PT Yudhistira Perkasa Abadi, particularly in its dooring services. The focus of the study lies in how the company implements internal control principles,such as segregation of duties, transaction authorization, document completeness, and internal monitoring to support the accuracy and timeliness of receivables settlement. This research employs a descriptive qualitative approach, with data collected through observation, interviews, and documentation review. The results indicate that the elements of internal control based on the COSO framework have been generally implemented, including control environment, risk assessment, control activities, information and communication, and monitoring. However, weaknesses were found in the monitoring aspect, especially the absence of an independent audit unit and the suboptimal execution of cross-verification. Therefore, it is recommended that the company strengthen internal supervision and its authorization structure to enhance the effectiveness of receivables management and maintain cash flow stability

    DAMPAK RESTRUKTURISASI PADA KINERJA PERUSAHAAN

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    The case of PT Lippo's financial report manipulation is clear evidence that accounting fraud can still occur due to weak oversight by the board of commissioners. This situation even forced the government to intervene and provide assistance. This phenomenon demonstrates the weak implementation of Good Corporate Governance (GCG), where managers' personal interests prevail over the company's interests. Furthermore, company size also influences earnings management practices. Small companies more often engage in earnings management to present a superior performance to attract investors. Meanwhile, large companies are typically better able to manage risks, including political risks, allowing them to focus more on maximizing profits to strengthen the ecosystem. This study aims to examine how company size and GCG influence earnings management practices, both separately and jointly. The results of the study, conducted on 48 listed mining companies, found that company size and GCG significantly influence earnings management practices. This means that good governance and proportional company management are crucial for mitigating the risk of financial report manipulation

    METODE PROFILE MATCHING SEBAGAI PENUNJANG KEPUTUSAN PEMBERIAN KREDIT PADA CV BUANA MOTOR

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    The credit approval process at CV. Buana Motor has traditionally been carried out manually and subjectively, which can lead to inaccuracies in decision-making. To address this issue, a decision support system is needed to assist in assessing the eligibility of prospective debtors more objectively. This study aims to apply the profile matching method as a tool to determine credit eligibility based on several predefined criteria, including income, installment amount, installment duration, type of employment, home ownership status, and length of residence. The first three criteria are classified as core factors, while the remaining three are considered secondary factors. This study uses data from 340 customers as samples. The results show that 273 customers (approximately 80.29%) were classified as eligible for credit, while 67 customers (19.71%) were deemed ineligible. These findings indicate that the profile matching method can provide systematic and objective assessment results and effectively support the credit decision-making process at CV. Buana Motor

    ANALISIS RISIKO KESELAMATAN DAN KESEHATAN KERJA SECTION BTS LINE PADA PT XYZ

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    This study aims to analyze potential occupational health and safety (OHS) risks in the BTS Line section of PT XYZ using the Hazard and Operability Study (HAZOP) and Fault Tree Analysis (FTA) methods. Based on workplace accident data from 2021 to 2024, frequent incidents include finger pinching, hand scratches, foot injuries, and burns. The identification process revealed 10 work risk activities with varying levels, with 58.82% categorized as high risk and 5.88% as extreme risk. FTA analysis showed that the main causes of accidents stem from human error, improper use of personal protective equipment (PPE), and suboptimal equipment design. This research recommends risk control measures through engineering controls, administrative controls, and routine employee training. The implementation of these strategies is expected to reduce workplace accidents and create a safer and more productive working environment

    AUGMENTED REALITY PENGENALAN ALAT-ALAT INSTALASI JARINGAN MENGGUNAKAN METODE MARKERLESS

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    Currently, technology is developing rapidly, making it easy to obtain information. Technology plays an important role in human life, offering many benefits in various fields and aspects of life, one of which is in the field of computer networks, where many network tools have been created with different functions and forms. Understanding network devices is crucial in education and training within the field of Information Technology. Now, a technology called AR (Augmented Reality) has emerged to simplify and provide innovative solutions that make learning more engaging and creative. The markerless method is employed so that the system can recognize the real environment without requiring markers or special tags, thereby offering greater flexibility in its application. This application was developed using Unity 3D with AR Foundation and ARCore as the primary technologies. 3D objects of network devices such as routers, MCI, LAN cables, and servers are displayed virtually in the real environment through the Android device's camera. Users can interact with the 3D objects, view descriptions of the device's functions, and play simple animations to clarify the device's usage. This research was conducted to design a Network Device Recognition application using a markerless method that makes it easier for salespeople or customers to understand the objects they want to see. The process is quite simple: just use a smartphone, and the application will scan the nearest flat surface to display the desired object, which will appear as a 3D object complete with information on its function, type, and price

    PENERAPAN FUZZY LOGIC UNTUK MEMPREDIKSI PENJUALAN MAKANAN DI USAHA SHAKEEL KEBAB MENGGUNAKAN METODE MAMDANI

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    Particularly in the food industry, like Shakeel Kebab MSME, sales are a crucial performance metric. The lack of a data-driven method to predict future sales trends is one of the main issues. Using historical sales data from 2022 to 2024, this analysis predicts food sales using the Mamdani fuzzy logic method. Fuzzification, rule formation, inference, and defuzzification are all steps in the research process, and MATLAB software is used for implementation. The outcomes show that the fuzzy system can correctly identify sales trends. For example, the system generated a defuzzification value of 91.67 in September 2024, and consistently 80 in November and December. These outcomes demonstrate that the Mamdani fuzzy method is effective in supporting predictive decision-making for food sales, especially for small business owners

    ANALISIS PENGAMBILAN KEPUTUSAN TERHADAP KEPUASAN PELANGGAN KFC DI KOTA BATAM DENGAN METODE SIMPLE ADDITIVE WEIGHTING

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    Customer satisfaction assessment is a crucial aspect for fast food company. This study aims to analyze customer satisfaction levels at KFC Gelael, Palm Spring Batam using the Simple Additive Weighting (SAW) method. The research identifies five key criteria: product quality, cleanliness, service, price, and atmosphere. Data were collected through online questionnaires distributed to 100 respondents who had visited KFC Gelael, Palm Spring Batam. The analytical stages include deretmining cost and benefits attributes, decision matrix formulation, data normalization, criteria weighting, and ranking using the SAW method. The results show that most customers rated KFC’s services as satisfactory, with the highest SAW score reaching 0.967. in conclusion, the SAW method proves effective in supporting decision-making based on customer satisfaction priorities and can serve as a strategic cconsideration for KFC management in improving customer satisfaction

    PERANCANGAN ULANG TATA LETAK GUDANG DISTRIBUTOR BAN PADA PT XTC

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    The rapid development of global industries and technology has complicated the layout of warehouse facilities in manufacturing. PT XTC, a major tire distributor in Indonesia, faces inefficiencies in its warehouse layout, causing cross movements, poor space utilization, and difficulties for forklift operators. This study aims to redesign the tire layout in PT XTC’s distribution warehouse using the class-based storage method, which groups materials based on popularity to enhance efficiency and productivity. The study employs direct observation, interviews, and literature reviews, collecting data on tire quantities, material inflows, and outflows from October 2023 to March 2024. Data analysis includes calculating the frequency of material movements, classifying materials into fast-moving, medium-moving, and slow-moving categories, and measuring penangan material distances and costs in both the initial and proposed layouts. Results show that the class-based storage method groups materials into class A (67.4%), class B (18.3%), and class C (8.3%). The initial layout shows a material movement distance of 3,514,000 meters and handling costs of Rp.509,530,000, while the redesigned layout reduces these figures to 1,045,800 meters and Rp.151,641,000, respectively. The redesign provides a more efficient space and lower handling costs

    ANALISIS PENGARUH KINERJA DAN KEDISPLINAN KARYAWAN TERHADAP KUALITAS PRODUK PADA PT SIIX ELEKTRONICS INDONESIA

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    Employees who break the rules have a negative impact on the quality of the products they produce. They may also not finish their work, be disinterested in cooperating with others, enjoy gossip, arrive late or skip work, get into arguments with coworkers, or steal company property without authorization. Defects were discovered as a result of workers' reduced focus on production quality as a result of goal pressure. This research aims to ascertain how employee discipline, performance, and both employee and performance discipline affect product quality, as well as the outcomes of using the Fishbone Diagram approach to investigate product quality. Fishbone diagrams and multiple linear regression analysis techniques are used in this quantitative study design. The study's findings indicate that there are factors that affect product quality and cause problems with performance and discipline, including man, material, method, machine, and environment factors. Additionally, there is a positive and significant relationship between employee performance and discipline on product quality at PT Siix Electronics Indonesia. These findings are in addition to the finding that there is a positive and significant relationship between employee performance and discipline on product quality at PT Siix Electronics Indonesia

    PENJADWALAN PREVENTIVE MAINTENANCE MESIN DRY VACUUM PUMP DI PT XYZ BATAM

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    In the manufacturing industry, ensuring a smooth production process is crucial for maintaining company performance. Machines play a vital role as a production factor that significantly affects the continuity of these processes. At XYZ Batam, frequent machine downtimes disrupt production targets. This study aims to determine the optimal machine maintenance intervals to reduce downtime. The Reliability Centered Maintenance II (RCM II) approach was applied using methods such as Failure Mode and Effect Analysis (FMEA), Mean Time to Failure (MTTF), and Mean Time to Repair (MTTR). The downtime data analyzed covers the period from April 2024 to September 2024. The results indicate that thermal overload repairs on dry vacuum pump no.1 and dry vacuum pump no.2 are the most frequent maintenance activities based on Risk Priority Number (RPN) calculations from the FMEA analysis. Preventive maintenance intervals for machines with the highest downtime rates were determined as follows: dry vacuum pump no.1 requires maintenance every 129,12 hours, and dry vacuum pump no.2 every 151,83 hours

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