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This study aims to analyze the inventory management practices of qurban cattle at Purnomo Sapi Mulyo Farm in Boyolali, Central Java, particularly in facing the surge in demand prior to Eid al-Adha. The research is motivated by the unique characteristics of qurban cattle inventory, which involves living assets, seasonal demand, and biological risks that differ significantly from conventional inventory management. A qualitative descriptive approach with a case study design was employed to capture in-depth information regarding inventory planning, procurement, storage, and sales practices. Data were collected through in-depth interviews with the business owner as the key informant, direct observation of operational activities, and documentation review. The findings reveal that inventory management at the farm is conducted in a responsive manner based on consumer orders, enabling the business to minimize overstock risks and operational costs. However, inventory recording remains manual and unstructured, potentially limiting the accuracy of cost calculation and long-term planning. Price fluctuations and supply availability are strongly influenced by the Eid al-Adha momentum, while cattle health and lead time are critical factors affecting inventory effectiveness. From a theoretical perspective, the study extends inventory management concepts to the context of live and seasonal inventory. Practically, the findings suggest that implementing a simple yet structured inventory recording system could enhance operational efficiency and decision-making accuracy in local qurban cattle farms.

This study explores how the organizational culture of Sanggar Kartika Budaya strengthens local artistic values through identity building, leadership, training strategies, and adaptive creativity. Rooted in a commitment to traditional arts, the sanggar positions local cultural expression not only as heritage but also as a living space for innovation. The research aims to uncover how these cultural elements shape member behavior, sustain artistic traditions, and support the regeneration of young artists. Using a qualitative approach with document analysis, this study examines official profiles, program descriptions, and relevant scholarly sources. The findings reveal that the sanggar’s cultural identity centered on the motto “Pegang Teguh Seni Tradisi Siap Berkreasi”serves as the backbone of its learning system and creative ecosystem. Leadership plays a central role in directing artistic vision while safeguarding cultural authenticity. Structured training, literacy activities, and collaborative performances effectively embed traditional values in new members. The sanggar also demonstrates an ability to evolve with modern trends through creative choreography, multimedia integration, and active participation in contemporary festivals, all while maintaining strong roots in local heritage. These findings highlight how a well-structured organizational culture can act as a powerful engine for cultural preservation and artistic resilience. The implications suggest that cultural institutions can remain relevant in a fast-changing era by blending heritage with innovation, ensuring that tradition continues to live meaningfully in the hands of future generations.

This study aims to analyze the influence of product quality and location on housing purchase decisions at Shafira Residence Kediri. The research problem focuses on how product quality and location can affect consumers in making purchase decisions. This study employs a quantitative method with questionnaires distributed to respondents and data analysis conducted through validity tests, reliability tests, t-tests, F-tests, and multiple linear regression using SPSS 25. The results indicate that product quality has a significant partial effect on purchase decisions. This means that the better the quality of the product offered, the higher the consumer’s interest in purchasing a house at Shafira Residence. Similarly, the location variable shows a significant partial effect on purchase decisions, where accessibility and strategic positioning serve as key factors. Simultaneously, product quality and location significantly influence purchase decisions, with an F-test value of 10.727 (significance < 0.001) and a coefficient of determination (R²) of 0.671, indicating that the two independent variables explain 67.1% of the variation in purchase decisions. The conclusion of this study is that product quality and location are important factors influencing consumer purchase decisions at Shafira Residence Kediri. Therefore, developers need to improve housing product quality, ensure timely completion of construction, and enhance road access to the location in order to attract more consumers.

This study aims to examine the influence of independent variables—Social Media, Pricing, and Promotion—on the dependent variable, Repurchase Decision, at Kedai Kopi Bersahaja. A quantitative research method was employed, utilizing multiple linear regression analysis with the assistance of SPSS 25 software. The population of the study consisted of 226 consumers, and a sample of 107 respondents was selected using incidental sampling techniques. Data were collected through questionnaires distributed to visitors who had made at least one purchase at the coffee shop. The results of the analysis indicate that each independent variable—Social Media, Pricing, and Promotion—has a positive and statistically significant partial influence on the Repurchase Decision. Additionally, the variables collectively demonstrate a strong simultaneous influence, suggesting that an integrated marketing approach is crucial for fostering customer retention and encouraging repeat purchases. Among the three, Social Media showed the most dominant influence, emphasizing the growing role of digital presence and online engagement in shaping consumer preferences and purchasing patterns. Based on these findings, it is recommended that Kedai Kopi Bersahaja maximize the use of social media platforms such as Instagram, TikTok, and Facebook by creating engaging, relevant, and interactive content that resonates with the target audience. Content strategies may include customer testimonials, behind-the-scenes videos, product highlights, and limited-time offers. Pricing should be evaluated periodically to remain affordable yet profitable, considering both market competition and perceived customer value. Meanwhile, promotion efforts can be diversified through the use of loyalty programs, bundle offers, student discounts, and digital coupons. The synergy between these three marketing factors—if consistently and strategically applied—is expected to enhance customer loyalty, strengthen brand image, and significantly increase the likelihood of repurchase decisions. These efforts are essential for building sustainable business growth in the competitive food and beverage industry.

The Hungarian method is a mathematical optimization algorithm used to solve assignment problems by finding the optimal allocation of resources to tasks. This research examines the application of the Hungarian method for both balanced and unbalanced maximization assignment problems. The balanced assignment problem involves an equal number of workers and jobs, while the unbalanced problem deals with unequal numbers. The study aims to analyze the effectiveness of the Hungarian method in solving maximization problems through mathematical modeling and algorithmic implementation. The research methodology includes literature review, mathematical analysis, and computational testing using various case scenarios. Results demonstrate that the Hungarian method can effectively solve both balanced and unbalanced maximization assignment problems by converting them into minimization problems through matrix transformation. The balanced cases show direct application of the classical Hungarian algorithm, while unbalanced cases require the addition of dummy variables to achieve matrix balance. The method proves to be efficient with polynomial time complexity O(n³), making it suitable for real-world applications. The research concludes that the Hungarian method provides optimal solutions for resource allocation problems in various organizational contexts, contributing to improved operational efficiency and cost-effectiveness in decision-making processes.  

Nyemilee is a student-run homemade fruit salad business that uses a pre-order system and social media to align operations with academic schedules. This qualitative-descriptive study involved interviews, Instagram (@nyemilee.id) observation, and PO documentation. Findings show that PO enhances efficiency, Instagram acts as a digital storefront and customer service tool, while time and demand challenges are managed through scheduling and daily quotas.

 This study aims to analyze the social media-based marketing strategies implemented by MSME Bakery in developing its business. The study employed a qualitative case study method using observation, in-depth interviews, and documentation. The results indicate that consistent use of WhatsApp and Facebook has positively impacted sales, market reach, and customer loyalty. However, challenges such as limited digital skills and time management for content creation still exist. These findings suggest that social media is an effective marketing tool for MSMEs when supported by proper content strategies and digital literacy.    

This study aims to examine the challenges and strategies of Management Study Program students at the State Islamic University of North Sumatra (UINSU) in understanding online lecture materials. The method used is descriptive qualitative with data collection techniques in the form of closed questionnaires distributed to 25 respondents of fourth semester students. The results showed that although there were still technical problems such as unstable internet connections, the majority of students were able to adapt to the online learning system. The most dominant learning strategies used are active and independent strategies, such as reading, taking notes, repeating material, watching learning videos, and managing study time. In addition, group discussions through media such as WhatsApp and Telegram also help clarify understanding of the material. Students also rely on learning materials provided by lecturers through digital platforms (PDF, video, and LMS) as the main source of independent learning. This study concludes that students' success in understanding online lecture materials is strongly influenced by a combination of active learning strategies, group collaboration, and material support provided by lecturers. Therefore, continuous collaboration between students, lecturers, and institutions is needed to create a more effective and inclusive online learning system.

Passengers or users of air transportation services are increasingly experiencing flight delays and cancellations. Where the Super Air Jet airline experienced damage resulting in flight cancellations, which resulted in passengers experiencing losses in terms of both material and time. This study aims to determine how air transportation is responsible for flight delays and cancellations at the airport. This study uses a qualitative method, where this study is descriptive. Data collection in this study was through interviews, observations and documentations in the field. The results of this study indicate that air transportation is required to provide passengers with rights, namely compensation in accordance with applicable provisions in the form of food and drinks and Rp. 300.000,00 (three hundred thounsand rupiah). However,in practice passenger rights are not in accordance with receiving compensation provided by the airline. This study concludes that there must be supervision, law enforcement and firmness so that passenger rights can be protected and receive optimal justice in the world of aviation.

Efficient management of aircraft parking stands is a critical element in maintaining flight safety at airports. As air traffic increases, the coordination and performance of the Apron Movement Control (AMC) team play a vital role in assigning parking positions to prevent operational delays and potential hazards. This study aims to evaluate the performance of the AMC team in managing parking stands at Yogyakarta International Airport using a descriptive qualitative approach. The assessment was based on five indicators proposed by Robbins & Judge: work quality, work quantity, timeliness, effectiveness, and independence. Data were collected through direct observation, semi-structured interviews, and documentation analysis. The findings indicate that the AMC team consistently performs its duties in accordance with established procedures, responds effectively to sudden operational changes, and demonstrates independent decision-making capabilities. These results highlight the crucial role of the AMC team in ensuring the safe movement of aircraft on the apron. However, challenges such as limited staffing and unanticipated schedule changes still require attention to improve overall operational efficiency.

This study aims to analyze market sentiment towards Gold Financing Products (PKE) in Islamic banking before and after the Trump Effect phenomenon using the text mining method. This technique involves extracting information from unstructured text data to then be visualized and analyzed using the Natural Language Processing (NLP) approach and a RoBERTa-based classification model. Data was collected through web scraping from the X application with the help of API and processed using Google Colab. From a total of 4,074 tweets analyzed, it was found that the majority of public sentiment was neutral (59%), followed by negative (24%) and positive (17%). This reflects the public's tendency to discuss informatively rather than emotionally, although there was a spike in negative sentiment in certain periods indicating sensitivity to global dynamics, especially the impact of the Trump Effect on gold prices. The resulting wordcloud reveals key topics such as gold prices, buying and selling activities, and institutions such as Pegadaian Syariah and BSI. Terms such as "sharia", "riba", and "principles" emphasize the importance of Islamic financial values ​​in public perception. The results of this study indicate that text mining-based sentiment analysis is effective in capturing the dynamics of public opinion in real-time and can be a strategic tool for Islamic financial institutions in responding to market changes.

Global economic issues have significantly impacted national economic progress in recent decades, especially for developing countries such as Indonesia.  Currency exchange rates are one of the main variables that influence this economic process.  The performance of a country's external sector is largely determined by the exchange rate, which also affects a number of other macroeconomic factors.  The purpose of this study is to see how much Indonesia's economic growth is affected by the exchange rate between 1980 and 2023. Data from government agencies including the Central Bureau of Statistics and Bank Indonesia are used in this quantitative approach using a literature study approach.  The findings show that changes in the value of the rupiah, especially when depreciation occurs, have a significant influence on a number of economic factors, such as imports, exports, inflation, domestic investment, and consumption.  The competitiveness of Indonesian export goods in the global market increases with the depreciation of the exchange rate. At the same time, however, it also leads to higher prices for imported goods, increases the burden of foreign debt, and depresses people's purchasing power and domestic investment activity. The last five years of data reflect the fluctuating pattern of Indonesia's international trade, which is closely related to exchange rate conditions and global economic dynamics. Exchange rate instability creates economic uncertainty, which can hamper long-term growth. Therefore, stabilizing the exchange rate and strengthening the export sector are important strategies, supported by monetary and fiscal policies that are adaptive to global changes.

This study aims to analyze the handling of left-behind baggage by Lost & Found officers of PT Gapura Angkasa for Fly Scoot airline at Zainnudin Abdul Madjid Internation Airport, Lombok. Left -behind baggage is a critical issue in ground handling service as it directly affects passenger satisfaction and the airline’s reputation. This research employs a descriptive qualitative method, using data collection techniques such as observation, interviews, and documentation. The findings reveal several key factors contributing to babbage being left-behind, including limited time during connecting flights, labeling errors, and the inclusion of prohibited items such as betteries and power bank is cheked baggage. Additionally, procedural errors and human error were also identified as challenges in the handling process. To address these issues, Lost & Found Officers track baggage through the World Tracer system, coordinate with the origin airport and related airline, and arrange delivery of the baggage to passengers’ addresses. This research is expected to serve as an evaluative reference for improving the quality of left-behind baggage handling services at the airport.

A good archive storage system can be an indicator that a company has done good archive management. If the archive storage system in a company is not well organized, employees will find it difficult to find the documents needed in a short time. The purpose of this research is to find out the storage system used and the steps in storing and finding dynamic archives in one of the companies engaged in insurance. This research uses qualitative methods with data collection techniques through observation, interviews, and documentation, and uses non-probability sampling techniques. The results showed that active dynamic archive storage uses a sequential number storage system. However, some parts use two storage systems depending on the  document type. Storing dynamic archives consists of three steps: checking, sorting, and storing. For the step of finding back dynamic archives, there are two ways: manually and digitally. However, no system manages dynamic archives to speed up the retrieval of dynamic archives. For archives that have become inactive archives, they will be submitted to the General Section for further storage at the vendor.

MotoGP is an international motorcycle racing event that attracts global attention and impacts various sectors, including the logistics sector. One important aspect of the MotoGP event is temporary imports, such as motorcycles, spare parts, and supporting equipment. This study aims to explore how to handle temporary imports using ATA Carnet in MotoGP cargo imports and identify challenges and solutions during the MotoGP cargo handling process. The method used is qualitative, with primary data obtained through observations and interviews, and secondary data from written sources, films, images, and monumental works. The data analysis techniques applied include data reduction, data presentation, and drawing conclusions, with data validity tested using triangulation techniques and sources. The study results show that handling MotoGP cargo with temporary import status differs from general cargo, as it involves customs procedures and requires special documents such as ATA Carnet, Customs Notification of Special Economic Zones (PPKEK), and Temporary Import Permits for exemption from entry fees. The handling process must be performed quickly to save time, given the limited period for temporary imports before re-export. However, Customs personnel still face challenges related to the attachment of customs seals, so the company needs to evaluate the recruitment and training processes of workers. The solution is coordination between PT. Angkasa Pura Logistics and Customs for the addition of officers.

The purpose of this study is to analyze the effects of store atmosphere and customer lifestyle on purchasing behavior, focusing specifically on Parewa customers. Employing a quantitative survey methodology, the research integrates an explanatory approach with a correlational design to explore the relationships between these variables. The study follows a cross-sectional framework, with data collected at a single point in time. The individual purchaser serves as the unit of analysis, and the research is carried out within a natural, real-world environment. The findings demonstrate a statistically significant and positive correlation between store atmosphere and customers' purchasing decisions. This implies that an inviting and comfortable store environment increases the likelihood of customer purchases at Parewa. Additionally, the results show a significant positive correlation between lifestyle and purchasing behavior, suggesting that customers with enhanced lifestyles are more inclined to purchase Parewa products. These insights underline the importance of aligning store ambiance and customer lifestyle preferences to drive sales effectively.  

Noteworthy changes in customer behavior due to the advancement of data and communication innovation have driven to an increment in online shopping, particularly amid the Covid-19 widespread. This ponder points to analyze the impact of electronic word-of-mouth (e-WOM) and believe on buy deliberate within the setting of e-commerce in Indonesia. With information appearing a surge in exchanges on different marketplaces, this consider distinguishes that positive e-WOM can increment buy deliberate, whereas negative e-WOM tends to diminish it. In expansion, consumers' level of believe in online shopping stages emphatically impacts buy choices. The discoveries appear that both e-WOM and believe have a critical positive impact on buy deliberate. The comes about of this consider give experiences for companies to develop effective promoting techniques to extend buy deliberate and construct shopper believe within the computerized time. 

The purpose of this study is to ascertain how customer satisfaction at the Honda Sinar Wijaya Motor Kediri dealer is impacted by factors such as location, pricing, and service quality. Quantitative research is what this kind of study is. Primary and secondary data are the methods of data collecting that are employed. At the Honda Sinar Wijaya Motor Kediri Dealer, 77 respondents provided samples for the study through the use of the incidental sampling technique. Literature reviews, interviews, and questionnaires were used to gather the research data. Multiple linear regression analysis is the method of analysis that is employed. The t-test of the service quality variable showed a significant partial influence on customer satisfaction with a sig result of 0.001 <0.05, and the study's multiple linear regression equation was Y = 19,414 + 0.375X1 + 0.521X2 + 0.291X3. With a sig value of 0.001>0.05, price has a strong partial impact on customer satisfaction. With a sig. value of 0.017>0.05, location has a strong partial impact on customer satisfaction. With a significance value of 0.000 <0.05, the F test yielded the F count result. According to the analysis's findings, customer satisfaction at the Honda Sinar Wijaya Motor Kediri Dealer is significantly impacted by pricing, location, and service quality all at the same time.

This community service activity aims to provide solutions to the challenges faced by PT Citra Marindo in implementing digital marketing. PT Citra Marindo, a company engaged in providing products and services for the maritime industry, encounters obstacles in fully leveraging the potential of digital marketing. This activity focuses on assisting the company in improving and enhancing their digital marketing strategies. A more comprehensive digital marketing implementation was applied through various social media platforms such as Instagram, WhatsApp Business, and e-commerce platforms like Tokopedia. Additionally, business branding development included designing more attractive logos, professional product photos, and packaging that aligns with market preferences. Quality control systems were introduced to ensure high product quality, while effective promotional strategies were implemented to increase brand visibility and awareness among consumers. All steps were tailored to real-world conditions, including cost calculations for marketing elements to ensure they do not burden product prices and can be sustained. It is hoped that this activity will have a positive impact on increasing PT Citra Marindo business profits and serve as a useful reference for other businesses facing similar issues

The use of artificial intelligence (AI) in banking has grown rapidly in recent years, providing opportunities and challenges in dealing with it. AI in the banking world is expected to facilitate use, strengthen customer data security, and optimize risk management. This article aims to analyze the level of customer user experience towards banking services by utilizing artificial intelligence (AI). The analysis technique used in this study is descriptive with a quantitative approach, involving 100 respondents of various ages, various jobs and various educational backgrounds. The main requirement for respondents is that they are customers of various conventional banks in Ponorogo Regency who have used artificial intelligence (AI)-based banking services. Data were collected through questionnaires supplemented with secondary data in the form of documents related to the implementation of artificial intelligence in the banking service system. The application of AI in the banking sector is the detection and prevention of fraudulent transactions in real time, identity verification through biometrics, identity verification through biometrics, chatbots and virtual assistants for customer service, detecting suspicious activity, and the use of smart wallets. The findings in this study explain that artificial intelligence (AI) is able to increase the efficiency of services to customers, provide a better experience, and improve the quality of banking services. Customers are greatly helped by the use of artificial intelligence (AI)