Publication Search

This study aims to evaluate the financial aspects of vaname shrimp farming (Litopenaeus Vannamei) with intensive methods at CV Megah Prima Agronusa. The research was conducted with a quantitative descriptive approach, using primary data from field observations and additional data from the literature. Indicators used for financial feasibility analysis include income, BEP (Break-even Point), R/C Ratio (Return on Investment Ratio), ROI (Cost Income Ratio), and PP (Payback Period). The findings of this study indicate that vaname shrimp farming with intensive system in CV Megah Prima Agronusa is financially feasible to do. This can be seen from the total income that reached Rp 1. 300. 947. 352, while the total revenue is Rp 5. 498. 214. 400 and total production costs reached Rp 4.197.267.048. The BEP value in Rupiah is Rp 1. 674. 066. 423, while the BEP in number of units was 23. 197 kg. The R/C Ratio obtained is 1. 30, which indicates that this business is feasible because it is greater than 1. The ROI obtained is 63%, which indicates that this business is appropriate because the standard ROI common in companies ranges from 15% to 25%. The resulting payback period is 1.58, meaning the time required to recoup the investment is 1 year, 5 months, and 8 days. This indicates the business is viable, as the standard payback period for real businesses, including agribusinesses, ranges from 3 to 5 years.

This study aims to analyze the financial performance of PT ABC Tbk during the period 2019–2023 using the Du Pont System as the primary analytical tool. The Du Pont System is widely recognized as a comprehensive method to evaluate a company’s overall performance by breaking down profitability into several key components: net profit margin, total asset turnover, return on investment (ROI), equity multiplier, and return on equity (ROE). The research employs a descriptive quantitative approach, with data sourced from secondary materials in the form of official financial statements published by the Indonesia Stock Exchange (IDX). A purposive sampling technique was applied to ensure the relevance and accuracy of the data analyzed. The findings reveal that the company’s financial performance throughout the five-year observation period has been less than optimal. Each of the main components of the Du Pont System showed average ratios that fell below the industry benchmark, indicating structural weaknesses in both profitability and efficiency. Specifically, the net profit margin and total asset turnover were constrained by high operational costs, while ROI and ROE were further pressured by volatility in foreign exchange rates. These inefficiencies highlight the vulnerability of the company’s financial structure to both internal management challenges and external macroeconomic factors. Based on the results, the study provides several strategic recommendations to improve financial performance. First, optimization of cost management is necessary to reduce operational inefficiencies that directly affect profit margins. Second, the implementation of foreign exchange risk mitigation strategies, such as hedging, is suggested to minimize the negative impacts of currency fluctuations. Finally, to strengthen revenue growth, the company is encouraged to adopt and expand digital marketing initiatives as a means of improving sales performance and market penetration. Overall, this study emphasizes the importance of integrating financial control with strategic innovation to ensure long-term sustainability and competitiveness in the pharmaceutical industry.

Using the Systematic Literature Review (SLR) method, the purpose of this study is to investigate the effect of financial performance on the stock prices of food and beverage manufacturing companies listed on the Indonesia Stock Exchange (IDX) from 2020 to 2024. The financial performance factors analyzed include Return on Assets (ROA), Current Ratio (CR), Debt to Equity Ratio (DER), and Return on Investment (ROI). Data were collected from fifteen nationally accredited scientific articles published during the period and were eligible for inclusion. The results show that Return on Assets (ROA) consistently has a positive effect on stock prices, making it the most important indicator to attract investors. Since investors prioritize profitability over short-term liquidity, Current Ratio (CR) is usually not very influential. Debt to Equity Ratio (DER) results vary depending on the debt condition of companies and their financial plans. However, Return on Investment (ROI), which has not been studied much, seems to have a significant impact on stock prices and is starting to attract the attention of investors in the food and beverage industry. This study helps by providing a comprehensive picture of the pattern of influence of financial ratios on stock prices and complements the shortcomings of current research, especially regarding the ROI variable which is still minimal in previous studies. It is hoped that these findings will help investors, company management, academics, and regulators make decisions and create investment strategies in the Indonesian capital market.

The low proportion of Grade A harvest quality in Hokkaido corn farming remains a challenge for horticultural agribusiness practitioners. This study aims to develop an operational strategy based on a managerial evaluation of key production factors to improve technical efficiency and harvest quality. The research was conducted at PT Agricole Indonesia Makmur, Cianjur, using data from 24 planting periods in 2024. Six production input variables were analyzed to identify the most influential factors on yield quantity and quality. The results show that only three variables watering frequency, organic fertilizer, and plant age at harvest consistently contributed significantly to the production of Grade A output. Although these variables are inelastic, they play a critical role in maintaining quality. The proposed strategy includes a 10% increase in harvest quantity and a 30% conversion from Grade B to Grade A. Simulation results indicate an additional 7.67 kg of Grade A yield per planting period, generating a value increase of IDR 239,490. The strategy is considered feasible with a positive Return on Investment (ROI) of 14.04% assuming a Grade A selling price of IDR 35,000/kg.

This study aims to analyze the relationship between data analytics utilization and the performance improvement of Meta Platforms Inc., particularly through its Instagram platform. In the digital era, data has become a strategic asset that enables companies to understand user behavior, optimize marketing strategies, and develop innovative products and services. Using a qualitative case study approach, this research illustrates how Meta leverages Instagram analytics—through audience segmentation, campaign effectiveness evaluation, and user insight-driven feature development—to enhance operational efficiency and profitability. The findings show that the use of data analytics not only increases advertising effectiveness and return on investment (ROI) but also strengthens Meta’s position as an innovation leader in the social media industry. The study also highlights the importance of data transparency and ethical practices in data usage, and recommends the development of more open and adaptive data infrastructure to meet evolving user needs.

Artificial Intelligence (AI) is quickly becoming a game changer in the way businesses build and manage their strategies. This article explores how AI is helping organizations make faster and smarter decisions, streamline operations, and spark innovation across various industries. With the ability to process massive amounts of data, AI tools can uncover valuable insights about market trends and customer behavior, allowing companies to respond more accurately and stay ahead of the competition. From machine learning and generative AI to natural language processing and digital twins, these technologies are transforming everything from internal workflows to how businesses connect with customers. The article also offers a practical roadmap for adopting AI in a business setting, covering steps like evaluating readiness, running pilot projects, and measuring success through return on investment (ROI). It emphasizes the need for strong data infrastructure, skilled teams, and a culture that supports innovation and data-driven thinking. Challenges such as algorithmic bias, data privacy, and internal resistance to change are also addressed. Real-world examples from banking, retail, and manufacturing show how AI can deliver real impact improving efficiency, increasing customer satisfaction, and driving business growth. Ultimately, embracing AI isn’t just about keeping up with technology it’s about shaping the future of smart, strategic, and ethical business.

This research aims to determine the total production costs, total revenue and business income, as well as the break-even point, return on investment, revenue to cost ratio, and payback period in the cultivation of vannamei shrimp (litopenaeus vannamei) over a period of 6 months. The research will be conducted from July to December 2024. It employs a quantitative analysis method with interviews and field observations to collect data. The results of this study show that the total costs incurred amount to Rp 2,370,177,864. Meanwhile, the total revenue generated is Rp 2,798,691,706 and the total business income is Rp 428,513,842. Furthermore, the financial analysis includes the Break Event Point (BEP) or break-even point obtained for this business, which is a BEP price of Rp 65,173/kg and a BEP unit of 6,376.09 Kg, the Return On Investment (ROI) for this business is 22%, the Revenue to Cost Ratio (R/C Ratio) for this business is 1.18, and the Payback Period (PP) for this business is 4.46.

This study aims to analyze the financial performance of PT Siloam International Hospitals Tbk during the period 2020–2023 using a financial ratio approach. The method employed is a descriptive quantitative analysis of liquidity ratios, capital structure and solvency, return on investment, operational performance, asset utilization, and market size. The results of this study indicate that the company's capital structure and solvency, return on investment, operational performance, and asset utilization ratios are in the very good category, while the liquidity and market size ratios are considered fairly good but not yet optimal. Overall, PT Siloam International Hospitals Tbk demonstrates solid, efficient, and sustainable financial performance, making it a commendable example of financial management excellence in the private hospital sector in Indonesia in the post-pandemic era.    

This study aims to examine the investment performance of the Financial Institution Pension Fund (DPLK) and the associated challenges, utilizing investment performance data analysis. The findings indicate that the aggregate return on investment for DPLK over the past six years (2019-2024) has reached 6.09%. This is lower than the industry average of 6.99% during the same period. The annual investment performance of DPLK shows the following: 6.18% in 2024, 5.88% in 2023, 3.41% in 2022, 4.06% in 2021, 8.89% in 2020, and 8.17% in 2019. Despite some fluctuations, these results are still considered suboptimal. Key challenges facing DPLK include market volatility, interest rate risk, longevity risk (longer participant lifespan), balancing return and risk, regulatory compliance, inflation, limited education and financial literacy, changing investment trends, and human resource competencies. To improve performance, DPLK must enhance its investment management quality by addressing these challenges and adopting strategies that optimize returns while managing risks.

This study examines the production costs and profitability of crab farming enterprises in Prapag Kidul Village, Brebes Regency. Using a quantitative descriptive approach, data were collected through in-depth interviews, field observations, and financial documentation from crab farmers. The research found that feed costs constitute the largest component of variable costs, accounting for 30% of total production costs. Financial analysis revealed favorable profitability levels with a Gross Profit Margin of 33%, Net Profit Margin of 24%, and Return on Investment of 30%. Factors significantly influencing profitability include cost management efficiency, market price fluctuations, crab quality, and access to capital. The findings suggest that systematic financial recording and cost management strategies are crucial for improving business sustainability and competitiveness in the crab farming sector.

This study aims to determine how factors like profitability, capital structure, cash management, and company size affect the financial performance of manufacturing companies in the food and beverage subsector that are listed on the Indonesia Stock Exchange (IDX) between 2019 and 2023. Analysis is essential. The Smart PLS technique and secondary data from the financial statements of seven companies selected through purposive selection are used in the quantitative methodology of this study. Financial performance is evaluated using Tobin's Q and EPS, and the independent factors that are looked at include ROE, DER, quick ratio, current ratio, and total assets. The study's findings indicate that while business size has no discernible effect on financial performance, return on investment (ROE) has a strong positive influence. Nevertheless, capital structure (DER) has a negative impact on financial performance while company size has a positive one; neither effect is statistically significant. Additionally, cash management has a little negative impact on financial success, but business size has a positive and significant influence. However, there is a small but favorable correlation between firm size and financial performance.

In today’s date Artificial intelligence (AI) has substantially transformed marketing strategies and specifically Viral Marketing by enhancing the content personalization, targeting the audience and real time campaign optimization. The study explored the Artificial Intelligence impact on Viral marketing with a comprehensive review of 20 literatures that highlights the diverse applications of AI such as predictive analytics, natural language processing (NLP) and AI-driven visual content creation. This study employed meta analysis approach to evaluate how effectively AI could boost marketing reach, engagement and return on investment (ROI). The finding of the study indicates a positive correlation between the efficiency of Viral Marketing campaigns and the integration of AI, despite the fact highlighting ethical and transparency. The study concludes with practical suggestions for using AI in Viral marketing in a responsible and efficient manner to enhance its potential while mitigating related dangers. This study also highlights AI’s revolutionary role in changing market dynamics.

Agroindustry plays a crucial role in the economy, particularly in supporting food security and creating business opportunities in rural areas. However, to remain competitive in an increasingly challenging market, a comprehensive evaluation of financial performance is essential. This study aims to analyze the financial performance of the Tahu Bulat Agroindustry in Buniasih Hamlet, Muktisari Village, Cipaku Subdistrict, Ciamis Regency, using the Du Pont System approach over the 2022–2024 period. The analysis focuses on five key indicators: Assets Turnover, Net Profit Margin, Return on Investment (ROI), Equity Multiplier, and Return on Equity (ROE). The results reveal an average Assets Turnover of 1.42 times, indicating effective asset utilization in generating sales. The average Net Profit Margin of 17.80% reflects the company’s ability to generate net profit from sales. The average ROI of 25.55% indicates efficient asset utilization. The Equity Multiplier has an average of 4.77 times, demonstrating the contribution of the capital structure to asset management. Meanwhile, the average ROE of 125.54% highlights high returns on equity, despite significant declines in the final year. The study concludes that the financial performance of the agroindustry is generally good, but declining indicators in the last year require strategies to improve efficiency and asset management. It is recommended that the company reevaluate its capital structure and enhance operational efficiency to ensure business sustainability.

This study aims to examine the impact of NPM, ROI, and ROE on stock prices. The population of this research consists of infrastructure companies listed on the Indonesia Stock Exchange (IDX) during the period of 2019-2022. This study uses secondary data obtained from the financial statements of infrastructure companies listed on the IDX between 2019 and 2022, which were accessed through the website www.idx.co.id.  The research population consists of 23 infrastructure companies listed on the IDX during the 2019-2022 period. Purposive sampling was used to select a sample of 81 observations, which were analyzed using multiple linear regression. The results show that NPM has an effect on stock prices, while ROI and ROE do not have an impact on stock prices.

This study aims to optimize marketing strategies through RFM (Recency, Frequency, Monetary) analysis on a retail transaction dataset obtained from Kaggle. The dataset contains 64,682 transactions from 5,242 SKUs involving 22,625 customers over one year. Data cleaning and RFM analysis were conducted to segment customers based on recency, frequency, and monetary values. The findings reveal that customers were segmented into groups such as Champions, Loyal Customers, and At Risk. These segments provide valuable insights for developing targeted marketing strategies, such as loyalty programs for high-value customers and retention campaigns for at-risk customers. The study demonstrates that RFM analysis is effective in identifying valuable customer segments and optimizing marketing efforts based on customer behavior. This approach can increase customer retention and improve the return on investment (ROI) in marketing campaigns.

Multinational companies in Indonesia, such as PT Gudang Garam Tbk, with complex financial statements, are interesting subjects for study. The company's capital ownership has increased annually, but this growth has not been accompanied by an increase in profits. The analysis is based on the financial statements of PT Gudang Garam Tbk for the period 2018-2022, using simple regression analysis. In this analysis, the dividend payout ratio, Return On Investment, and Return On Equity are considered as independent variables (x), while financial performance is the dependent variable (y). The study results show an increase in the dividend policy, but a decrease in ROI and ROE. Furthermore, the statistical analysis reveals that the dividend policy has a positive effect on financial performance, while ROI and ROE have a negative impact on financial performance. The findings indicate that the low profit growth is not due to high or low capital, but is instead caused by the return on investment (ROI) and return on capital (ROE) in the form of profit sharing. Hence, it is the return process that leads to declining or low profits.

This research aims to analyze the influence of cash management and inventory management on the financial performance of Ling Food Stores in Makassar City during the 2020-2022 period. The main focus of this research is to evaluate how cash and inventory management contributes to a company's liquidity, profitability and operational efficiency, which are measured through various financial ratios such as Current Ratio, Gross Profit Margin (GPM), Operating Profit Margin (OPM), Net Profit Margin (NPM), Return on Investment (ROI), and Return on Equity (ROE). The research results show that the Current Ratio in 2020 cannot be calculated due to the absence of short-term liabilities, while in 2021 and 2022 each was recorded at 0.095% and 0.216%, reflecting low liquidity. On the other hand, the decrease in Average Inventory from IDR 754,200 in 2021 to IDR 715,000 in 2022, followed by a significant increase in net profit, shows efficiency in inventory management. The increase in GPM, OPM, NPM, ROI, and ROE ratios from 2020 to 2022 reflects significant improvements in financial performance, indicating that more effective cash and inventory management can improve a company's financial health.

There are three issues studied in this thesis, namely: The role of Micro Business Productive Fund Assistance (BPUM) on the sustainability of MSMEs, procedures for distributing Micro Business Productive Fund Assistance (BPUM) to MSMEs, and maintaining business continuity during the Covid-19 pandemic. The aim of this research is to determine the role of Micro Business Productive Fund Assistance (BPUM) on the sustainability of MSMEs, to find out the procedures for distributing Micro Business Productive Fund Assistance (BPUM) on the sustainability of MSMEs and to find out how to maintain business continuity during the Covid-19 pandemic in the sub-district. Tungkal Ilir in 2020 and 2021. To reveal this problem in depth and comprehensively, researchers used a qualitative approach by collecting data using observation, interviews and documentation. The data analysis technique used is field analysis using the Miles and Huberman interactive model including data reduction, data display, data verification. From the research results, it can be concluded that the role and potential of BPUM are: The BPUM program will be a temporary buffer for micro businesses to reduce the negative impact of social restrictions/pandemic, encouragement to increase MSME data, accuracy of targeting of aid distribution and encouragement to BPUM beneficiaries related to licensing, certification and taxation systems. The procedures for distributing BPUM are listed in Chapter IV, Article 7 of the Regulation of the Minister of Cooperatives and Small and Medium Enterprises of the Republic of Indonesia Number 6 of 2020 concerning General Guidelines for National Support for Economic Recovery in the context of threats that endanger the nation's economy and saving the national economy during the COVID-19 virus. And there are three factors that play a role in maintaining business continuity during the COVID-19 pandemic, namely the ability to innovate, manage customers and return on investment.

This study aims to Determination of factor prices is an essential element in the economic system that includes aspects of production and distribution. In the perspective of Islamic economics, factor pricing not only relies on economic efficiency, but must also pay attention to the principle of distributive justice in line with Islamic values.  The research method uses a qualitative approach with a literature review or library reaseach. The data used in this study are sourced from various literature books and scientific articles. The results of the study discuss the concept of factor pricing based on the theory of marginal products, labor markets, time allocation, equilibrium, and return on investment without usury. The analysis focused on the link between economic efficiency and fair distribution in accordance with maqashid sharia. The results show that optimal factor pricing within a sharia framework can support market equilibrium, increase labor productivity, and promote income distribution across different sectors of the economy. In addition, sharia-based policy interventions are needed to overcome market distortions and ensure the realization of holistic economic justice.

This study aims to assess the feasibility of the Lontong Tuyuhan MSME business which has a location in Tuyuhan Village, Rembang Regency in Pancur District. The data analysis methods used are revenue analysis, profit analysis, cost analysis, and also business feasibility analysis using the Revenue Cost Ratio (R/C Ratio), Return On Investment (ROI), and Benefit Cost Ratio (B/C Ratio) analysis tools. ). This study uses qualitative research methods with primary data collection tools in the form of observation, questionnaires, interviews, and documentation. Data was obtained through 6 informants, namely the owner of the Lontong Tuyuhan MSME business which has a location in Tuyuhan Village, Rembang Regency in Pancur District. The Lontong Tuyuhan MSME business that has been researched can be said to be adequate to run with an average R/C Ratio of 2.11 B/C Ratio of 1.11 and ROI of 171.30%. The Lontong Tuyuhan MSME business that was observed had an estimated average revenue of IDR 31,322,500/month. With an average monthly capital excluding initial capital with a nominal value of IDR 14,893,425/month and an average profit of IDR 16,429,075/month.