The rapid development of digital technology has brought significant changes in the business world, requiring companies to innovate and improve operational efficiency in order to maintain competitive advantage. One technology that plays a central role in this transformation is Artificial Intelligence (AI). This article aims to examine the role of AI in business through a comprehensive literature review, exploring the benefits, challenges, and strategies for implementing AI in facing competition in the digital era. AI makes a major contribution to improving operational efficiency through the automation of repetitive tasks (Duan et al., 2019), analyzing large amounts of data for more accurate decision making (Chui et al., 2016), and improving the personalization of customer experiences (Haenlein & Kaplan, 2019). However, the implementation of AI also faces a number of challenges, such as high investment costs, limited expertise, and ethical issues related to data privacy. Recommendations from this study include the importance of investing in workforce training, developing an AI implementation strategy that is aligned with business goals (Bughin et al., 2018), and improving data security to maintain customer trust. This study is expected to provide useful insights for academics and business practitioners in optimizing the use of AI to maintain competitive advantage amidst increasingly tight competition.

This thesis is entitled THE EFFECT OF COMPETENCY, MOTIVATION AND WORK DISCIPLINE ON THE PERFORMANCE OF EMPLOYEES OF THE INVESTMENT AND ONE-DOOR INTEGRATED SERVICE OFFICE OF CIAMIS REGENCY. The purpose of this study was to determine the Effect of Competence, Motivation and Work Discipline on the Performance of Employees of the Investment and One-Stop Integrated Service Office of Ciamis Regency. In this study, the author used a quantitative research method, including subject selection, data collection techniques (such as questionnaires, observation and interviews). With the measurement scale used in this study is Likert. With the sampling technique using the total sampling technique, namely all employees of the Investment and One-Stop Integrated Service Office of Ciamis Regency in 2019 as many as 44 people. The results of the study showed that 1). There is an influence of competence on employee performance, the correlation coefficient value (R) is 0.767, meaning that the better the employee's competence, the employee's performance will increase, 2). There is an influence of motivation on employee performance, the correlation coefficient value (R) is 0.633, meaning that the better the motivation, the more employee performance will increase, 3). There is an influence of work discipline on employee performance, the correlation coefficient value (R) is 0.672, meaning that the better the work discipline, the more employee performance will increase, 4). There is an Influence of Competence, Motivation and Work Discipline on Employee Performance, the correlation coefficient value (R) is 0.839, meaning that the better the Competence, Motivation and Work Discipline, the more effective the employee performance will be. Based on the calculation, it is known that F count 31.785> F table 3.23, so the relationship between X1, X2, X3 and Y is significant. In other words, the hypothesis that the author proposes can be accepted because it has been statistically tested.

Air compressor on board MV. Tms Glory has a vital role in supporting the performance of the main drive engine. This study evaluates the air compressor maintenance system through direct surveys, interviews with personnel, and document reviews. The results show that the implementation of preventive care has succeeded in reducing the risk of operational disruption. Challenges such as lack of resources for planned care were identified. Recommendations include the use of advanced condition monitoring technology and increased personnel training to support proactive care. This approach is expected to increase the operational availability of ships and reduce maintenance costs in the long term.
 

Human resource management (HRM) is a branch of management that focuses on managing people within organizations. HRM involves selecting, developing, and retaining qualified individuals to achieve organizational goals efficiently. In the digital era, HRM faces challenges such as technological disruption and the rapid shift to automation. Modern technology has transformed training and development methods, enabling unlimited access to educational resources through online courses and digital platforms. Organizations must adapt by integrating digital tools in recruitment, training, and employee development processes to enhance efficiency and creativity. Additionally, the digital era has revolutionized business operations, enabling cost-efficient and flexible strategies through digital platforms like social media and e-commerce. However, digital transformation presents challenges, including cybersecurity threats, rapid technological changes, and digital inequality. Entrepreneurs must continuously adapt by learning new technologies, prioritizing data security, and leveraging digital solutions tailored to business needs. Digital transformation drives operational efficiency, creates new market opportunities, and enhances customer experiences, making it essential for organizations to remain competitive in a rapidly evolving landscape.

Kontroler PID merupakan kontroler yang banyak dipakai di industry. Terdapat parameter proporsional, integral dan derivative pada kontroler PID. Proses perhitungan dalam PID secara buku teks lebih banyak berisi analisis pengaruh parameter Kp, Ki dan Kd. Proses implementasi perhitungan dirasakan kurang dipahami dengan cepat dan mudah oleh mahasiswa maka dibuat visualisasi untuk menunjukkan proses pada kontroler PID. Proses visualisasi menggunakan GeoGebra untuk menunjukkan proses yang terjadi pada blok perhitungan galar, pengaruh Gain proposal pada blok kontroler proporsional, pengaruh gain pada blok integral dan pengaruh perubahan galat pada blok kontroler derivative. Visualisasi juga dilakukan pada blok elemen control akhir.

This research aims to implement the marketing strategy of Pempek Palembang FC (Micro, Small, and Medium Enterprises) MSMEs through Instagram social media. Established in May 2022 in Bangka Belitung, Pempek Palembang FC offers Palembang specialty food products, namely pempek and tekwan. Despite its high market potential, this MSME faces serious challenges due to its lack of social media presence, resulting in limited marketing reach. This research used qualitative methods with interviews and observations to explore the problems and solutions faced. The results show that the creation of social media accounts, creative content development, and consistency in uploading can increase visibility and sales. Through digital marketing strategies, Pempek Palembang FC can reach a wider market, build a customer community, and increase competitiveness in the digital era.
Keywords: Pempek Palembang FC, MSME, marketing strategy, social media, Instagram, digital marketing.

Vibration due to misalignment of the propeller shaft is detected using the VA-12 Vibration Analyzer sensor which is equipped with a Piezoelectric Accelerometer PV-571. Vibration measurements are carried out in alignment and misalignment conditions. The VA-12 Vibration Analyzer detection tool displays the results of the Vibration signal. Must be protected against the vibrations generated. Vibration signal analysis is done by looking at or observing the signal amplitude and signal frequency with two conditions of alignment and misalignment. The VA-12 Vibration Analyzer is used to analyze vibration signals and then convert them to Fast Fourier Transform (FFT) and Wavelet Transform (WT). In this analysis, a comparison of vibrations is carried out during alignment and misalignment conditions.

Poverty is one of the global issues faced by many developing countries, including Indonesia. This study aims to analyze the factors influencing poverty in Indonesia and to map provinces based on their poverty levels. The data used in this study is panel data from 34 provinces in Indonesia for the period 2020–2023, sourced from the Central Bureau of Statistics. The analytical method employed is multiple linear regression using panel data to determine the impact of gross regional domestic product (GRDP), unemployment rate, and Gini ratio on poverty levels. Furthermore, the K-Means algorithm is applied to cluster provinces based on poverty levels and the variables influencing poverty. The analysis is conducted using Knime Analytics and STATA software. The findings indicate that the unemployment rate and Gini ratio have a significant impact on poverty, whereas GRDP does not significantly affect poverty levels. Based on the clustering results of poverty levels across Indonesian provinces, Papua, West Papua, and East Nusa Tenggara fall into the highest poverty level cluster.

The procedures for cargo ship clearance in and out at Weda Port, Central Halmahera, managed by PT Pelayaran Bahtera Diserindo, play a vital role in ensuring efficient port operations and regulatory compliance. The clearance-in process consists of several steps that cargo ships must complete before entering the port, including document verification, health inspections, and adherence to security protocols. On the other hand, the clearance-out process involves procedures that must be completed before a ship departs, such as submitting shipping documents and undergoing cargo inspections. This study aims to examine these procedures, identify the challenges faced, and propose recommendations to enhance the efficiency and effectiveness of clearance processes at Weda Port. By utilizing the latest data and statistics, this research also emphasizes the significant role of PT Pelayaran Bahtera Diserindo in facilitating logistics operations in North Maluku. The findings are expected to provide a comprehensive understanding of the existing procedures and their impact on Indonesia's maritime industry.

This research aims to determine the results of the effect of implementing AM (Autonomous Maintenance) on the AZ7 and T2D machine slitting process at the PT factory. Lami Packaging Indonesia addresses production downtime by setting new cleaning standards and standard inspections. The method used in solving problems using the Autonomous Maintenance (AM) method aims to increase the knowledge, responsibility and skills of production operators related to machines, so that productivity will increase overall.