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This Field Work Practice (KKL) was conducted at Delastra Farm Yogyakarta with the objective of analyzing the implementation of marketing strategies to increase sales in the livestock sector. The research employed a qualitative approach through observation, interviews with the business owner, and documentation review. Findings reveal that Delastra Farm adopts integrated marketing strategies combining online promotion, offline promotion, and community networking. The application of Segmentation, Targeting, and Positioning (STP) as well as the Marketing Mix (product, price, place, promotion) has significantly enhanced consumer trust and strengthened the farm’s market position. Peak sales were recorded during Eid al-Adha, supported by stock increases, intensive promotions, and delivery services that meet customer expectations. Supporting factors include product quality, the credibility of the owner as both practitioner and academic, and varied promotional strategies across digital and traditional platforms. However, the farm faces several challenges, such as limited capital, fluctuating feed prices, and intense competition within the livestock market. This study highlights the importance of digital marketing adoption, customer relationship management, and product diversification to reduce seasonal risks. The practical implication is that effective marketing strategies can improve not only sales performance but also long-term brand positioning for local livestock businesses. Theoretically, this activity demonstrates the relevance of applying marketing management concepts to micro and small-scale enterprises in the agricultural sector. Strategic recommendations include strengthening digital presence through social media and marketplaces, expanding partnerships with restaurants and religious institutions, and exploring external funding to support sustainable business growth.

This study aims to analyze the effect of Market Value Added (MVA), Price Book Value (PBV), and Total Asset Turnover (TATO) on stock prices of telecommunication subsector companies listed on the Indonesia Stock Exchange (IDX) during the period 2019–2023. The research employed a quantitative approach using multiple linear regression analysis. The sample consisted of three companies, PT Telkom Indonesia Tbk, PT Indosat Tbk, and PT XL Axiata Tbk, selected through purposive sampling. The results show that MVA and PBV have a significant positive effect on stock prices, while TATO has no significant effect. Simultaneously, MVA, PBV, and TATO significantly influence stock prices with a determination coefficient of 68.3%. These findings indicate that investors place greater emphasis on value-added and market perception indicators rather than asset efficiency in making investment decisions within the telecommunication subsector. This study provides practical implications for company management to enhance value creation through innovation and strategic asset management, as well as academic contributions to enrich the literature on stock price determinants in the Indonesian capital market.

Dawet Ayu in Banjarnegara Regency is one of the traditional culinary micro, small, and medium enterprises (MSMEs) that until now is still able to survive and continue to grow. This typical beverage product not only has cultural value, but also has the potential to be a promising economic source for the local community. However, the reality on the ground shows that Dawet Jabung's business actors are still facing various serious obstacles. Limited understanding of business management, difficulties in calculating production costs in detail, and inability to determine the right selling price of products are the main obstacles. In addition, the low knowledge related to aspects of marketing, promotion, and business communication strategies makes it difficult for this business to expand the market. As a result, some business actors have actually experienced a significant decrease in sales from year to year. To answer these challenges, community service activities are carried out through two approaches, namely Action and Quality Awareness and Rapid Rural Appraisal (RRA). Action and Quality Awareness are carried out through extensive counseling, lectures, and mentoring aimed at increasing the knowledge of business managers. In this activity, business actors are guided to understand the importance of financial recording, cost management, and strategies to improve product quality. Meanwhile, the RRA method is used to identify real needs in the field, as well as prepare training, mentoring, and coaching programs that are relevant to business conditions. The results of the activity showed an increase in the ability of partners to classify production costs into the categories of raw materials, labor, overhead, marketing, and transportation. In addition, business actors are now more skilled in determining selling prices based on the realization of costs incurred, not just estimates. They also began to compile simple bookkeeping related to assets, debts, and capital, so that business management became more professional, transparent, and sustainable

Stock returns represent a crucial parameter that serves as a reference for investors in evaluating company performance. A decline in returns has occurred in several mining companies listed on the IDX, despite the sector’s vital role in the national economy. This study aims to examine the effect of Corporate Social Responsibility (CSR), Return on Assets (ROA), Return on Equity (ROE), Debt to Equity Ratio (DER), and Firm Size on the stock returns of mining companies listed on the IDX during the 2022–2024 period. The sample was determined using purposive sampling, resulting in 56 observational data after outliers were removed. To meet the assumptions of classical tests, several variables were transformed using natural logarithms, and data were analyzed using multiple linear regression. The results indicate that CSR, ROE, and Firm Size have no significant effect on stock returns, whereas ROA and DER show a significant positive effect. These findings suggest that investors tend to emphasize financial fundamentals, particularly profitability and capital structure, rather than non-financial aspects such as CSR activities. The implication for companies is the need to enhance operational efficiency and optimize financial structures to attract investors and improve returns. Future researchers are encouraged to incorporate external variables such as global commodity prices, market risk, and macroeconomic indicators, as well as expand the observation period and apply more diverse methodological approaches to provide a more comprehensive understanding of stock return dynamics in the mining sector.

This research aims to determine the effect of Return on Assets (ROA), Earnings per Share (EPS), Debt to Equity Ratio (DER), and Total Asset Turnover (TAT) on Stock Prices. The population of this study consists of companies in the Transportation and Logistics sub-sector listed on the Indonesia Stock Exchange (IDX) for the period 2020-2024. Secondary data is used in this research, and purposive sampling techniques are employed, resulting in a sample of 22 companies within the Transportation and Logistics sub-sector from a population of 37 companies listed on the IDX during the same period. The research employs multiple linear regression analysis, with data processed using the Statistical Program for Social Science (SPSS) version 22. The results of the study reveal that ROA, EPS, and TAT significantly affect stock prices, while the DER does not have a significant effect on stock prices. The findings provide insight into the importance of financial indicators such as ROA, EPS, and TAT in determining the stock prices of companies within the Transportation and Logistics sub-sector. This study contributes to the literature on the relationship between financial performance metrics and stock prices, offering useful insights for investors and decision-makers in the financial market. Further research may explore other factors influencing stock prices and the role of corporate governance in shaping financial outcomes.

Research on stock splits has been widely conducted in Indonesia and internationally, as stock splits are considered an important corporate action that can influence investor perception and stock performance. However, the motivations and consequences of stock splits remain diverse, ranging from efforts to increase stock liquidity, adjust market price ranges, attract new investors, or signal positive corporate prospects. This study aims to empirically reanalyze the effect of stock splits on trading volume and stock prices of companies listed on the Indonesia Stock Exchange (IDX) during the 2022–2024 period. Specifically, the research investigates whether significant differences exist between trading activities and stock price levels before and after the stock split event. The data used in this study are historical in nature, consisting of stock split announcements, daily trading volume, and stock price movements surrounding the event period. To test the hypotheses, this research employs both the paired-sample t-test and the Wilcoxon signed-rank test as statistical tools. These tests are appropriate because they allow for the comparison of two related samples, namely the stock performance indicators before and after the split. The selection between the two methods depends on the distribution of the data, where the paired t-test is used if the data is normally distributed, while the Wilcoxon test is applied if the normality assumption is not met. This study is categorized as moderate TKT (Technology Readiness Level 4–6) because it uses secondary historical data and focuses on empirical statistical analysis rather than experimental or simulation-based approaches. By examining stock split events within the specified period, this research contributes to the understanding of whether stock splits in Indonesia are primarily cosmetic in nature or if they generate real economic impacts on liquidity and stock valuation. The findings are expected to provide useful insights for investors, market analysts, and policymakers in assessing the relevance and effectiveness of stock splits as a corporate strategy.

This study aims to analyze the effect of Total Asset Turnover (TATO) and Debt to Equity Ratio (DER) on stock prices at PT Unilever Indonesia Tbk for the period 2014 to 2023. This research uses a quantitative approach with an associative type of research. The data used is secondary data obtained from the company's annual financial statements and the official website of the Indonesia Stock Exchange. The data analysis method used is multiple linear regression, preceded by classical assumption tests to validate the model. The results show that partially, DER has a significant effect on stock prices, while TATO does not have a significant effect. However, simultaneously, both TATO and DER have a significant influence on stock prices. This indicates that the company’s capital structure plays an important role in influencing stock value in the capital market. Therefore, it is recommended that company management be more prudent in managing debt and improving asset utilization efficiency to attract investors and maintain the company’s stock price stability in the market.

This study aims to analyze the influence of liquidity, leverage, profitability, and company size on the share prices of companies that are members of the Investor33 index on the Indonesia Stock Exchange (IDX) during the 2019–2023 period. This study uses a quantitative approach with purposive sampling techniques, so that 17 companies out of a total of 46 companies that meet the criteria are obtained. The data used is secondary data in the form of annual financial statements obtained from the IDX's official website. The analysis method used was multiple linear regression with the help of the Statistical Program for Social Science (SPSS) software version 25. The results of the analysis show that the leverage and profitability variables have a significant effect on the stock price, which indicates that the company's capital structure and ability to generate profits are important factors in the investor's assessment. In contrast, the liquidity variables and company size do not show a significant influence on the stock price, which means that the company's ability to meet short-term obligations and operational scale are not the main determinants in the formation of the stock price on the index. These findings provide implications for investors and company management to pay more attention to profitability and leverage aspects in financial strategies and investment decision-making. This research can also be a reference for further studies related to the analysis of financial ratios and capital market dynamics in Indonesia.

This study aims to analyze the development strategy of vannamei shrimp (Litopenaeus vannamei) cultivation business in the intensive pond system at CV Jaya Tirta Vannamei, Probolinggo, East Java. The research applied a qualitative descriptive approach combined with SWOT analysis to evaluate both internal and external factors affecting the business. Data were obtained through observation, interviews, and documentation, then processed to generate alternative development strategies. The results show that CV Jaya Tirta Vannamei possesses strong internal resources such as experienced human resources, reliable production facilities, and good management capabilities. Externally, the company benefits from the rising demand for vannamei shrimp in domestic and global markets, the availability of modern aquaculture technology, and supportive government policies. Nevertheless, some challenges exist, including fluctuating shrimp prices, vulnerability to disease outbreaks, and relatively high operational costs, which may influence business continuity if not addressed effectively. Based on the SWOT analysis, the most appropriate development strategy is the S-O (Strengths–Opportunities) strategy, with an alternative strategy score of 3.72. The recommended strategies are: (1) increasing shrimp production through the adoption of advanced and sustainable cultivation technology, (2) developing and maintaining a reliable water quality management system to enhance productivity, (3) utilizing skilled human resources to strengthen innovation in cultivation techniques, and (4) ensuring the availability of sufficient and quality feed to support continuous production growth. In conclusion, implementing the S-O strategy provides an effective pathway for CV Jaya Tirta Vannamei to optimize its internal strengths in response to external opportunities. By improving technology application, strengthening resource utilization, and enhancing production management, the company can secure competitive advantage, increase productivity, and ensure long-term sustainability in the rapidly growing aquaculture industry.

This study aims to analyze consumer preferences for purchasing organic products in Bandar Lampung City. With increasing awareness of the importance of a healthy lifestyle and environmental sustainability, organic products are increasingly popular among consumers. This study uses a quantitative approach with a survey method to collect data from consumers who purchase organic products in various markets and shops in Bandar Lampung City from November to December 2024. The variables analyzed include factors that influence purchasing decisions, namely age, education level, gender, frequency and location of purchase, and sources of information about organic products. The results show that consumers of organic products are aged between 18-56 years, with the majority being female and from those with higher education (bachelor and postgraduate). Consumers prefer organic products because of health considerations and better quality compared to conventional products. However, higher prices and product availability are inhibiting factors in purchasing organic products. This study provides important insights for organic product producers and marketers in designing more effective marketing strategies, as well as contributing to the development of the organic product market in Bandar Lampung City.

Micro, Small, and Medium Enterprises (MSMEs) are strategic sectors in the Indonesian economy, but often face challenges in efficient and data-driven production management. This article highlights the urgency of the Real Work Lecture (KKN) program as a form of student service in assisting MSMEs, especially in optimizing the production of snacks typical of Tebing Syahbandar. This research aims to optimize the production output of the Untir-untir Titik Factory with an Integer Linear Programming (ILP) approach using the Branch and Bound algorithm. Primary data is obtained through interviews and production documentation, including product type, raw material needs, operational costs, selling prices, and profit margins. The initial analysis was carried out using the simplex method using POM QM software to obtain a linear solution, which was then refined with the Branch and Bound algorithm so that the results were in the form of integers. The results of the study showed that the optimal solution was achieved by producing 25 bales of kolong-kounder and not producing other types of snacks, resulting in a profit of Rp1,650,000 per day. These findings show that the ILP approach with Branch and Bound is able to significantly increase the efficiency and profitability of MSMEs. In addition, this method can be used as a basis for quantitative-based production decision-making. This research also emphasizes the strategic role of KKN in technology transfer and real solution-based assistance for MSME actors in the region, thereby supporting the sustainable strengthening of the local economy.

Public awareness of environmental issues is increasing, but there is still a gap between ecological understanding and green consumption behavior. This phenomenon is evident in the low interest of local consumers in Suputra Herbal Incense products in Badung Regency, despite the product's strong ecological and cultural value. This condition raises questions about the factors influencing local consumers' green purchasing intentions towards environmentally friendly products. This study uses a quantitative approach with a causal associative design to analyze the main predictors influencing green purchasing intentions. A total of 100 respondents were selected through a purposive sampling technique, namely potential consumers who are related to herbal incense products. The research instrument has been tested for validity and reliability, thus it is suitable for use in data collection. Data analysis was conducted with the help of multiple linear regression using SPSS software to test the research hypotheses. The results show that green brand image, green marketing, and price perception have a positive and significant influence on local consumers' green purchasing intentions. These findings confirm that an environmentally friendly brand image can strengthen consumer trust and interest. In addition, a consistent and authentic green marketing strategy plays a significant role in increasing product appeal. The perception of fair pricing is also a key consideration, as consumers tend to be more accepting of prices when they align with the product's ecological benefits and cultural values. In conclusion, this research provides practical contributions for MSMEs, particularly in designing effective and sustainable green marketing strategies. Efforts to strengthen green brand image, consistently implement environmentally friendly promotions, and foster a perception of fair pricing will encourage increased purchasing intentions among local consumers. Thus, eco-friendly products like Suputra Herbal Incense have the potential to compete more strongly in the increasingly competitive domestic market. Keywords: Green Purchase Intention, Green Brand Image, Green Marketing, Perceived Price, MSMEs

The Unnoni Weaving Center is a community-led, small and medium-sized enterprise (SME) development center for traditional weaving. Despite its significant potential, many entrepreneurs in this center face challenges in determining appropriate product prices. They typically rely solely on intuition or follow market prices without considering all production cost components, resulting in very small profit margins and even the risk of incurring losses. In response to these challenges, this community service program was designed to improve the ability of SMEs to determine more rational, measurable, and profitable selling prices through comprehensive and applicable training in production cost calculations. The methods employed included outreach, workshops, intensive mentoring, and hands-on simulations on pricing based on real costs and reasonable margins. The program was conducted in two sessions at the Unnoni Weaving Center Hall, involving 25 local weaving entrepreneurs. The results showed significant improvement, with participants' understanding of identifying production cost components increasing by 76%, while approximately 80% successfully conducted simulations for determining selling prices, taking into account raw materials, labor, overhead costs, and profit margins. The tangible impact of this activity is seen in increased business literacy, more systematic calculation skills, and the confidence of SMEs in determining prices and negotiating with consumers and business partners. Furthermore, this activity is expected to be a starting point for the implementation of a simple financial recording system, increased operational efficiency, and the development of a branding strategy for Unnoni woven products so they can compete more professionally, sustainably, and with high competitiveness in both local and global markets.

This study aims to optimize the cake production profit at Cake by Cece using the Branch and Bound algorithm. The data used include raw material requirements per batch, daily raw material availability, and selling prices for three types of cakes: Cookies, Brownies, and Cinnamon Roll. The optimization model is formulated as an Integer Linear Programming problem with the objective of maximizing total daily profit. The model is solved using the simplex method followed by the Branch and Bound algorithm to obtain valid integer solutions. The results indicate that the optimal production combination is 2 batches of Cookies, 2 batches of Brownies, and 3 batches of Cinnamon Roll, yielding a maximum profit of IDR 233,000 per day. This solution satisfies all raw material constraints and is feasible for daily operational implementation. This study provides quantitative recommendations to support production decision-making in culinary sector MSMEs.

This study aims to analyze the application of the full costing method in determining the cost of goods sold at a Sukoharjo Village-Owned Enterprise (BUMDes). The full costing method is an approach that assigns all production costs, both fixed and variable, to the product. It is expected to provide more accurate cost information than the traditional method currently used by BUMDes. This study used a qualitative descriptive approach, using a case study of a BUMDes Sukoharjo that produces traditional foods such as clorot, geblek, and lanting. Data collection techniques included interviews, observation, and documentation.The results indicate that the method currently used by BUMDes Sukoharjo does not capture all production costs, particularly equipment depreciation and other fixed overhead. Calculating the cost of goods sold using the full costing method yields a higher value than the previous method. This difference occurs because the full costing method comprehensively considers all cost elements, providing a more accurate basis for setting selling prices. By implementing the full costing method, BUMDes can improve cost management efficiency and obtain more accurate information for managerial decision-making. Furthermore, applying the full costing method enables BUMDes to better understand the impact of fixed costs on the overall profitability of their products. By factoring in all costs, including overheads and depreciation, BUMDes can make more informed decisions regarding pricing strategies and resource allocation. This method also allows for greater transparency in cost structures, which is essential for effective financial planning and budgeting. Ultimately, the full costing method will contribute to improved financial sustainability and long-term profitability for BUMDes Sukoharjo, helping them navigate challenges in the competitive market of traditional food production.

This study aims to analyze the influence of brand image, product variety, and bundling price on purchasing decisions among X consumers. The method used is a quantitative approach with a causal research design, so as to be able to explain the cause-and-effect relationship between variables. The research data was obtained by distributing questionnaires to 96 respondents who are active consumers of X. To ensure data quality, a series of tests were conducted including validity, reliability, normality, linearity, multicollinearity, and heteroscedasticity. The main analysis used multiple linear regression supported by t-tests, F-tests, and coefficient of determination (R²) processed using SPSS software version 26. The results showed that brand image had a significant effect on purchasing decisions, indicating that consumers' positive perceptions of X's reputation were able to encourage higher purchasing interest. Bundling price also proved to have a significant effect, because the strategy of combining package prices was considered to provide economic benefits and added value for consumers. In contrast, product variety did not have a significant effect, indicating that consumers place more emphasis on brand image and pricing strategies than simply menu diversity. However, when tested simultaneously, all three variables were still shown to have a significant influence on purchasing decisions. The coefficient of determination value of 0.594 indicates that the combination of the three variables can explain 59.4% of the variation in purchasing decisions, while the remaining 40.6% is influenced by other external factors such as service quality, consumer trends, promotions, and customer experience. These findings reinforce the understanding that a strong brand image-based marketing strategy and the implementation of appropriate bundling prices can be key to increasing consumer appeal. For local coffee businesses like X, this study provides practical implications to focus more efforts on strengthening brand image, creating a consistent consumer experience, and optimizing pricing strategies.

This study the analyze the influence of financial performance as a predictor of stock price in the property and real estate sector listed on the IDX for the 2020-2024 period, using a sample consists of 12 property companies. The financial performance variables used in this study include ROE, EPS, CR, and TATO. The result of show that simultaneously,all four variables have a significant  effect on stock prices. Partially, only ROE, EPS, and TATO have a significant impact, while CR has no significant effect. The analysis methods include descriptive statistics, classical assumption tests, multiple linear regression, and F Satatistical tests. The findings confirm that profitability, particularly (ROE and EPS) and asset efficiency (TATO), are the factors consideres  by investors when evaluating stocks in the property sector.  The analysis methods used in this study include descriptive statistics to summarize the data, classical assumption tests to ensure the validity of the regression model, multiple linear regression to examine the relationship between the financial performance variables and stock prices, and F-statistical tests to evaluate the overall significance of the model. The findings suggest that profitability, particularly ROE and EPS, and asset efficiency, represented by TATO, are the key factors considered by investors when evaluating stocks in the property sector.These results imply that investors in the property and real estate sector prioritize financial performance metrics that reflect the company's ability to generate returns and utilize its assets effectively. Specifically, ROE and EPS serve as crucial indicators of profitability and are closely monitored by market participants. On the other hand, CR, which measures the company's short-term liquidity, does not appear to have the same level of influence on stock prices.  

Disparities in energy access across Indonesia's underdeveloped, frontier, and outermost (3T) regions have long hindered equitable national development. In response, Pertamina launched the BBM Satu Harga program, aiming to equalize fuel prices and availability throughout these regions. This study explores the effectiveness of the program in achieving its intended goals. Employing a qualitative descriptive approach, the research utilizes in-depth interviews, field observations, and document analysis as primary data collection methods. Informants include Pertamina officials, BBM Satu Harga gas station operators, and community members residing in 3T areas. Data were analyzed using an interactive model, encompassing data condensation, data display, and conclusion drawing. The findings indicate that the BBM Satu Harga program significantly improved energy accessibility, reduced travel distances for fuel acquisition, and received generally positive evaluations from stakeholders. Operational challenges remain, particularly concerning logistical distribution and infrastructure maintenance in remote locations. Nonetheless, the program’s annual implementation targets were largely achieved, affirming its critical role in reducing energy disparities. It is concluded that the BBM Satu Harga program has been effective in fostering more equitable energy access within Indonesia’s most isolated regions. Future research should focus on long-term socioeconomic impacts of energy accessibility and explore strategies to optimize logistical support and infrastructure resilience in 3T regions.

A shophouse rental in Sungai Rengas Village is suspected of being subject to fraud, one of which is related to unilateral price changes. The price determined at the beginning of the agreement was changed midway by the shophouse owner. The tenant who rented the additional shophouse as a game room suddenly experienced a unilateral price change. The price that had been determined at the beginning of the agreement, which was to be available once a month and the amount was determined at the beginning, but suddenly the shophouse owner changed it. The party renting the additional shophouse as a game room was ordered to pay all electricity to the tenant, which was initially covered by the shophouse owner. However, midway through the agreement, the electricity payment suddenly changed, all payments were borne by the party renting the additional shophouse as a game room, and the electricity payment had to be allowed once a week. The type of research in this study is empirical, which in other words is a type of sociological legal research and can also be called field research, namely studying the applicable legal provisions and what happens in reality in society. Based on the research results that the price changes that occurred to the tenant who added a field for the game area are not in accordance with Islamic law, because it violates one of the valid conditions of ijarah and is also not in accordance with the legal basis for determining prices. According to Islamic law, ijarah is a binding contract (al-'aqd aL-biasa), is a contract where if all the pillars and conditions have been fulfilled, then the contract is fully binding and each party cannot cancel it without the consent of the other party, the same as the rental contract and debt, both parties have agreed and have fulfilled the pillars and conditions of the ijarah contract immediately both are bound to each other. As in the case of not returning the rent, the market party.

In the 4.0 era, technological advances offer significant opportunities, especially for entrepreneurs who develop their businesses through online platforms such as the Shopee e-commerce marketplace. This study examines the use of Shopee as a marketing communication medium by the Tabriizhijab store. Using a qualitative research method with a descriptive approach, this study is able to describe the digital marketing strategy implemented by the Tabriizhijab store owner through the use of various Shopee features such as store vouchers, free shipping, Shopee Live, Shopee Feed, and paid advertising. The findings of this study indicate that Shopee has a significant impact on improving store sales performance. However, it turns out that several challenges still exist, such as a limited understanding of Shopee features that can cause owners to be left behind by Shopee marketing trends, intense price competition between other sellers who offer lower prices for their products, a lack of specialized personnel to handle digital marketing that leads to less than optimal store management, and difficulties in committing to providing responsive service to consumers. Despite facing these challenges, through effective communication strategies, appropriate and optimal use of social media, and improving service quality, Tabriizhijab has been able to build a positive brand image and increase consumer purchasing interest. This study highlights the importance of an appropriate digital marketing communication strategy amidst increasingly fierce market competition. Furthermore, the study emphasizes the importance of managing and utilizing consumer data obtained through platforms like Shopee to formulate more effective and targeted marketing strategies. By utilizing available analytics features, Toko Tabriizhijab can better understand consumer behavior, product preferences, and evolving market trends. This allows the store to adjust its marketing strategy, offer more relevant promotions, and improve the overall customer experience.