This study aims to optimize sales profit at the MSME Batagor Bandung Tarakan by applying the Simplex method in linear programming, supported by the POM-QM for Windows software. Profit optimization plays a crucial role in strategic decision-making, particularly in determining the optimal daily production quantities to enhance operational efficiency, maximize the use of raw materials, and meet market demand effectively. The Simplex method was chosen for its ability to solve linear optimization problems involving multiple constraints and variables, providing accurate mathematical solutions to achieve maximum profit. This research utilizes daily production data as the basis for analysis, which is then processed using the Simplex method in POM-QM. The results show that implementing the Simplex method can increase daily profits from IDR 634,000 to IDR 831,408 through a more efficient production combination. The study concludes that the Simplex method, when applied via the POM-QM software, is an effective tool for daily production decision-making and can support MSMEs like Batagor Bandung Tarakan in improving their competitiveness and business sustainability.

To achieve optimal funding, an effective marketing strategy is needed for the success of the company. The Boston Consulting Group (BCG) Matrix functions as an analytical tool designed to improve performance through mapping between units based on growth rates and relative market share. This research is a field study with a qualitative descriptive approach. The focus of this study is the daily products of KSP Gunung Slamet Ajibarang Branch. The data collection methods applied by the researcher consist of observation, structured interviews, and documentation. The findings of this study describe the product position and strategies that can be implemented by considering market growth and existing market share. Daily products are in the cash cow category with market growth of 6.66% and a relative market share of around 1.10. Strategies that can be implemented include increasing productivity and quality to ensure competitiveness and provide value to consumers.

This study aims to evaluate the performance of KSP Satria B Cilongok using the Malcolm Baldrige Framework for Performance Excellence. The research employed a qualitative descriptive approach with data collected through direct observation and in-depth interviews with the cooperative’s leadership on May 4, 2025. Analysis was conducted based on seven categories within the Malcolm Baldrige Excellence Framework. Findings indicate that KSP Satria B Cilongok has implemented visionary leadership, customer-focused service, data-driven management, and effective risk and workforce management. The cooperative’s performance continues to improve, demonstrated by stable growth in members, net income (SHU), and transaction volume. Furthermore, adherence to organizational ethics and transparency has been a key factor in building member trust. This study contributes by integrating the Malcolm Baldrige principles into the management of small to medium-sized savings and loan cooperatives in Indonesia, presenting a novel application of the framework in the local context

Managing human resources and entrepreneurship are two crucial components of any successful organization. Human resources management focuses on recruiting, training, and retaining employees to ensure they can perform their job duties effectively. On the other hand, entrepreneurship involves the creation and development of new business ventures, products, or services. Both areas play a significant role in the overall success and growth of a company. In this paper, we will explore the intersection of human resources management and entrepreneurship, examining how these two disciplines can work together to drive innovation and organizational success. By leveraging the expertise and creativity of both HR professionals and entrepreneurs, companies can cultivate a culture of innovation and adaptability. This collaboration can lead to the development of cutting-edge products and services, as well as the implementation of forward-thinking HR practices that attract and retain top talent. However, integrating HR and entrepreneurship may also present challenges, such as balancing risk-taking with employee well-being and ensuring that organizational goals align with individual aspirations. Despite these obstacles, the potential benefits of combining these disciplines are vast, offering companies a strategic advantage in today's competitive business landscape.

Artificial Intelligence (AI) has become an essential tool in the world of management for decision-making. This article examines the ways in which AI can be used to improve the quality and speed of decision-making, and how AI can improve the operational efficiency of companies. In addition, this article also examines the challenges and opportunities that companies face in adopting AI.In the rapidly evolving digital era, AI has become an essential component of modern business strategies. Today's managers are often faced with the challenge of analyzing very large and complex volumes of data. To make good and timely decisions, AI offers a potential solution with fast and precise data analysis capabilities.The use of AI in decision-making involves machine learning algorithms and models to efficiently process and analyze large amounts of data. This helps managers gain deeper and more accurate insights, enabling more effective decision-making.

This research aims to analyze the strategic position of the Village Unit Cooperative (KUD) Cilongok using the Strategic Position and Action Evaluation (SPACE) Matrix method and formulate development strategies for savings and loan units and supermarket businesses. The research method uses a quantitative-qualitative approach with data collection techniques through observation, interviews, and documentation. SPACE Matrix analysis is carried out by identifying factors of financial strength, competitive advantage, industry strength, and environmental stability. The results show that KUD Cilongok is in an aggressive quadrant position with relatively high values of financial strength and industry strength. The recommended strategies include market penetration, market development, product development, and business diversification. The implementation of these strategies is expected to improve the performance of KUD Cilongok's savings and loan units and supermarket businesses, as well as improve the welfare of members and the surrounding community.

Penelitian ini bertujuan untuk Untuk mengetahui pengaruh infrastruktur jalan terhadap pertumbuhan ekonomi, pengaruh infrastruktur listrik terhadap pertumbuhan ekonomi dan pengaruh infrastruktur jalan dan listrik terhadap pertumbuhan ekonomi di Indonesia. Jenis penelitian ini menggunaan penelitian kuantitatif. enelitian ini menggunakan data sekunder. Data sekunder yaitu data yang diperoleh dalam bentuk jadi dan telah diolah oleh pihak lainnya yang biasanya dalam bentuk publikasi. Jenis data yang digunakan berupa data Time Series (runtun waktu). Sumber data diperoleh dari Badan Pusat Statistik (BPS). Metode yang digunakan dalam penelitian ini adalah Regresi Linier Berganda. Berdasarkan penelitian yang telah dilakukan mengenai pengaruh infrastruktur terhadap pertumbuhan ekonomi di Provinsi Aceh, dalam penelitian dapat menarik kesimpulan bahwa Variabel infrastruktur jalan yang terdapat nilai probabilitasnya yaitu sebesar 0.1804 > 0.05 sehinngga dapat disimpulkan bahwa infrastruktur jalan tidak berpengaruh terhadap pertumbuhan ekonomi. Variabel infrastruktur listrik yang terdapat nilai probabilitasnya yaitu sebesar 0.0220 < 0.05 sehinngga dapat disimpulkan bahwa infrastruktur listrik berpengaruh terhadap pertumbuhan ekonomi
 
Kata kunci: Pusat Pertumbuhan Ekonomi, Infrastruktur Jalan, Infrastruktur Listrik

This study aims to analyze the business condition of BMT Bahtera in entering the market of the syariah financial services industry using a General Electric Matrix approach. The method used in this study was in-depth interviews with the internal informant from BMT. The research result shows that BMT Bahtera’s strength is on the digitalization services, Human Resources competencies and saving and financing products innovation. Despite recently entering the Purwokerto territory, the business is growing with high potential market share using direct promotion strategy and effective institutional cooperation.

Traffic accidents are influenced by several factors including human error, animals, weather, traffic signs. Of the four, have an influence on traffic accidents with satisfactory results. The purpose of this study was to determine whether there was an influence of Human error, Animals, Weather, and Traffic Signs on traffic accidents on the Denpasar-Gilimanuk highway, Jembrana Regency, Bali. In this study, the research population is motorized vehicle users who cross the Denpasar-Gilimanuk highway, Jembrana Regency by taking a sample system with a total of 93 respondents (samples). The variables in this study consisted of: Human error (X1), Animals (X2), Weather (X3), Traffic signs (X4) and the dependent variable was Traffic Accident (Y). The research model is multiple linear regression analysis. The results of the analysis using the statistical tool SPSS V.25 program obtained multiple linear regression equations Y = -1.530+0,313X1+0,227X2+0,258X3+0,318X4+µ. Shows that, based on empirical facts (the results of filling out the questionnaire) and multiple linear regression results show that the Human error variable (X1) has a t count of 3.680 and a t table of 1.98729 then H1 is accepted and significant, animals (X2) have a t count of 2,035 and t table of 1,98729 then H2 is accepted and significant, weather (X3) has a t count of 2.852 and t table of 1.98729 then H3 is accepted and significant, traffic signs (X4) has a t count of 4.618 and t table of 1.98729 then H4 is accepted and significant. In the coefficient of determination test (R Square) the Adjust R Square value of 0.633 means that 63.3% of the variation in the dependent variable of traffic accident factors can be explained by the independent variables of human error, animals, weather, traffic signs. While the remaining 36.7% is explained by other reasons outside the variables studied.

Public demand for motorcycles is always increasing. The motorcycle manufacturers compete with each other to offer their products. Yamaha is one of the largest and most excellent automotive companies, especially in Indonesia. In the current uncertain economic situation due to the Covid-19 pandemic crisis, this has resulted in sluggishness in motorcycle sales. So that before marketing their products, companies need to pay attention to consumer behavior first. Because consumer behavior will be the target for purchasing products to be marketed. The purpose of the study was to analyze consumer behavior in deciding to purchase a Yamaha motorcycle at CV Tjahaja Baru Lubuk Buaya Padang. This study uses qualitative methods and belongs to field research with semi-structured interviews and documentation as data collection techniques. The findings from this study are that prospective motorcycle consumers in buying a motorcycle take a lot of considerations to get the motorcycle they want, what are the advantages of a motorcycle, an affordable price, if purchased on credit with low interest and so on.