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This study aims to analyze the internal and external conditions of Karel Workshop in Wairhubing, Sikka Regency, using a SWOT approach (Strengths, Weaknesses, Opportunities, and Threats) as a basis for formulating business development strategies. The research employed a qualitative descriptive method with data collected through in-depth interviews with the owner, employees, and customers, as well as secondary data from documents and official statistics. The findings indicate that Karel Workshop possesses several strengths, including meticulous service quality, strong interpersonal relationships with customers, and mechanic skills acquired through self-learning. However, the workshop also faces weaknesses such as limited equipment, the absence of a structured management system, and a lack of digital promotion. Opportunities that can be utilized include high public interest in motorcycle modification, potential motorcycle painting services, a strategic location, and possible partnerships with spare-part suppliers. Meanwhile, the main threats include rising spare-part prices, competition among workshops, and occupational safety risks. Overall, the study recommends strengthening digital promotion, improving business management, enhancing workshop facilities, and implementing safety standards to support the sustainable development of Karel Workshop. 

This study aims to analyze the internal and external conditions of Karel Workshop in Wairhubing, Sikka Regency, using a SWOT approach (Strengths, Weaknesses, Opportunities, and Threats) as a basis for formulating business development strategies. The research employed a qualitative descriptive method with data collected through in-depth interviews with the owner, employees, and customers, as well as secondary data from documents and official statistics. The findings indicate that Karel Workshop possesses several strengths, including meticulous service quality, strong interpersonal relationships with customers, and mechanic skills acquired through self-learning. However, the workshop also faces weaknesses such as limited equipment, the absence of a structured management system, and a lack of digital promotion. Opportunities that can be utilized include high public interest in motorcycle modification, potential motorcycle painting services, a strategic location, and possible partnerships with spare-part suppliers. Meanwhile, the main threats include rising spare-part prices, competition among workshops, and occupational safety risks. Overall, the study recommends strengthening digital promotion, improving business management, enhancing workshop facilities, and implementing safety standards to support the sustainable development of Karel Workshop. 

The objective is to analyze the competitiveness of modern retail through the integration of SWOT analysis as a basis for formulating more targeted strategies using qualitative descriptive methods. This paper identifies the strengths, weaknesses, opportunities, and threats that drive the performance of modern retail based on literature and empirical findings from various previous studies. The results of the analysis show that the main strengths of modern retail lie in product completeness, competitive prices, strategic locations, and operational efficiency. Meanwhile, weaknesses arise from suboptimal digitization, minimal online promotion, limited service innovation, and outdated inventory management. Meanwhile, opportunities arise from changes in digital-based shopping behavior, while threats emerge from the dominance of large retailers, e-commerce competition, and economic fluctuations. Based on the SWOT integration, a strategy is formulated that includes strengthening digitalization, optimizing online marketing, improving service quality, and modernizing operational systems to support long-term competitiveness.

Regional development faces dynamic challenges amid rapid economic growth driven by natural resource extraction. This study aims to identify leading economic sectors, analyze structural economic transformation, and evaluate the role of these sectors in regional development. The research employs a quantitative method with a descriptive approach. Secondary data consist of Gross Regional Domestic Product (GRDP) at constant prices over the past five years. The analytical techniques applied include Location Quotient analysis to identify base sectors, Shift-Share analysis to assess structural changes as well as comparative and competitive advantages, and Klassen Typology to classify sectoral growth patterns. The results reveal a structural shift from primary sectors, such as agriculture and fisheries, toward secondary sectors, including mining and manufacturing. Despite challenges related to development equity, these leading sectors serve as key drivers of regional economic growth. To maximize the contribution of leading sectors to broader regional development, this study recommends that government policies prioritize the strengthening of intersectoral linkages.

This research explores how monopoly markets operate in the context of a sharia-based microeconomy, with a primary focus on how prices are regulated based on the principle of adl or justice. Unlike traditional monopolies, which often create inefficiencies in resource allocation and exploit consumers, Islamic teachings require fair prices, in accordance with the Quran's prohibition of gharar (uncertainty) and zulm (oppression). Referring to the theories of Ibn Taymiyyah and modern thinkers such as Chapra, we examine how monopoly companies can achieve maslahah or mutual benefit through profit restrictions, combining prices with zakat, and supervision by a sharia council. Through a simple mathematical model, we prove that monopolies regulated by justice produce better Pareto outcomes than equilibria that only maximize profits, by reducing social losses while still encouraging innovation. Empirical data from Islamic markets in Indonesia, such as halal commodities, support these findings, where regulations can stabilize prices at 15-20% lower. The conclusion of this study highlights the importance of Sharia principles in managing sustainable markets in developing countries, with policy recommendations to reform antitrust rules to align with the maqasid al-Shariah.

This research aims to examine how prices and reviews influence consumers 'purchasing decisions on the Shopee platform in Jambi City. The rapid development of e-commerce has encouraged consumers to be more careful and discerning when selecting products, making price and product reviews important considerations in buying decisions. This study employed a quantitative approach via a survey method for data collection. The questionnaires were distributed online and successfully gathered responses from active Shopee users in Jambi City. Purposive sampling was employed to make sure that respondents met research criteria. The information gathered underwent analysis using IBM SPSS Statistics 27, which involved conducting assessments of validity, reliability, and classical assumptions, and multiple regression tests to see the impact of each variable on buying decisions. The study revealed that product price and reviews hold an important and relevant impact on consumer buying decisions. This research indicates that the more competitive the price and the better the quality, the bigger the possibility of customers buying products on Shopee.

The COVID-19 pandemic has increased public interest in investing, especially in the banking sector, which is known for its stability. However, many investors still lack an understanding of fundamental analysis. This study aims to examine the effect of Return on Asset (ROA), Return on Equity (ROE), and Net Profit Margin (NPM) on stock prices of banking companies listed on the Indonesia Stock Exchange during the 2011–2023 period. The research used a quantitative approach with purposive sampling and multiple linear regression analysis using SPSS. The results show that ROA has no significant effect on stock prices. In contrast, ROE has a significant negative effect, while NPM has a significant positive effect on stock prices. These findings indicate that investors tend to consider net profit margins more than asset efficiency, and that high ROE may be perceived as a signal of high leverage risk. This research is expected to provide insights for investors in assessing banking performance before making investment decisions.

The goal of this research is to explore the relationship between stock prices, liquidity, profitability, and leverage. This study focuses on transportation and logistics companies that were registered in the Indonesia Stock Exchange from 2021 to 2023. A quantitative approach was taken, utilizing secondary data derived from the annual financial statements of companies that were active during this time frame. The sample comprised 45 data points, selected using a purposive sampling technique. The independent variables include leverage, measured with the Debt to Equity Ratio (DER), profitability, assessed through Return on Assets (ROA), and liquidity, evaluated via the Current Ratio (CR). The dependent variable for this research is the stock price. The findings from this partial analysis reveal that liquidity significantly and negatively impacts stock price, with a t-count of -2.264 and a significance level of 0.029. However, the correlation between stock price and profitability was found to be insignificant, indicated by a significance value of 0.071 and a t-count of -1.853. Similarly, leverage does not significantly affect stock price, as evidenced by a t-count of -0.657 and a significance level of 0.515. Nonetheless, when considered collectively, the three factors of leverage, profitability, and liquidity do influence stock prices. According to the coefficient of determination (R2) test, these three variables account for 13.9% of the volatility in stock prices, leaving the remaining 86.1% to be attributed to external factors not examined in this study.

This study examines the impact of Market Value Added (MVA), Economic Value Added (EVA), and Financial Value Added (FVA) on stock returns in energy-sector mining companies listed on the Indonesia Stock Exchange (IDX) during 2018–2023. A quantitative approach with multiple linear regression was applied to 23 purposively selected firms based on data availability. Secondary data were obtained from annual reports and stock prices published on the IDX website. The findings show that EVA has a significant effect on stock returns (p = 0.048 < 0.05), while MVA (0.075) and FVA (0.080) are not significant individually. However, the three variables collectively influence stock returns (p = 0.031 < 0.05). The adjusted R² of 0.396 indicates that 39.6% of return variability is explained by the model, with the rest influenced by other factors. Overall, EVA emerges as the key indicator for investors in evaluating return potential, while market-based measures such as MVA are less decisive, and historical value indicators (FVA) are less statistically relevant as predictors of stock returns. From a managerial perspective, firms are encouraged to focus on capital efficiency and sustainable economic value creation to enhance their investment appeal.

This study aims to analyze the effect of the Current Ratio (CR), Debt-to-Equity Ratio (DER), and Return on Equity (ROE) on the stock prices of healthcare companies classified as sharia-compliant on the Indonesia Stock Exchange (IDX) for the 2020–2024 period. The background of the study is motivated by notable stock price fluctuations among sharia healthcare issuers, such as the sharp decline in PT Kimia Farma Tbk and price dynamics of other issuers including KLBF, MIKA, PEHA, and SIDO. The analysis uses a quantitative approach applying Partial Least Squares – Structural Equation Modeling (PLS-SEM) implemented in WarpPLS 8.0. The results indicate that CR does not have a significant effect on stock price (p = 0.174), while DER has a negative but not statistically significant effect (p = 0.484). In contrast, ROE has a positive and significant effect on stock price (p < 0.001), making ROE the dominant factor influencing investor interest. Simultaneously, the three independent variables explain only 20.2% of stock price variation, while the remaining 79.8% is influenced by factors outside the research model. The Tenenhaus goodness of fit (GOF) value of 0.450 suggests the research model has good overall quality despite the limited explanatory power of the tested financial variables.

This study aims to analyze the influence of prices and productivity on the welfare of independent oil palm farmers in Andabia Village, Anggaberi District, Konawe Regency. The number of respondents in this study was 24 people taken by census. The analysis method used includes descriptive statistical analysis, with multiple linear regression analysis. Based on the results of the analysis, it shows that the influence of the palm oil price variable on the welfare of oil palm farmers is 0.02 one unit with a calculated t value greater than the t table value (1.924> 1.720) and a significance level smaller than 0.05 (0.02 <0.05) partially has a significant effect on the welfare of oil palm farmers. The influence of the productivity variable on the welfare of oil palm farmers is 0.000 one unit, with a calculated t value greater than the t table value (5.046> 1.663) and a significance level smaller than 0.05 (0.000 <0.05) partially has a significant effect on the welfare of oil palm farmers. The influence of palm oil price and productivity variables simultaneously has a significant influence on the welfare of oil palm farmers. From the F test, the results of the calculation of F count> F table (170,465> 3.07) with a significance level of 0.001 <0.05. This shows that the price and productivity variables together have a significant influence on the welfare of farmers in Andabia Village, Anggaberi District, Konawe Regency.

This study aims to analyze corn consumption substitution as an alternative carbohydrate source and to measure the demand elasticity of corn in response to fluctuations in corn and rice prices at Ciawitali Market, Garut Regency. Primary data were collected through observations and interviews, along with secondary data from West Java Central Statistics Agency processed using simple linear regression and cross-elasticity analysis with SPSS. Results show that changes in corn prices explain 99.7% of variation in corn demand with a positive coefficient of 0.827, indicating a substitution effect with rice, which experienced a concurrent price increase. The cross-elasticity value of 1.64 confirms the elastic substitution relationship between corn and rice. These findings highlight the potential of corn as a substitute for rice in maintaining stable food consumption despite fluctuations in staple commodity prices.       

This study aims to analyze the influence of product quality, price perception, and promotion on purchasing decisions for Panasonic brand electronic products at the Batam Electronics Store in Pekanbaru City. This study uses a quantitative approach with a survey method, where primary data is collected by distributing questionnaires to 45 consumers who have purchased Panasonic products. The sampling technique uses a purposive sampling method. The data obtained are analyzed using a structural equation model based on Partial Least Square (PLS) to test the relationship between research variables. The results of the analysis show that product quality has a positive and significant effect on purchasing decisions, indicating that product quality and reliability are important factors in consumer considerations. In addition, promotion is also proven to have a positive and significant influence on purchasing decisions, indicating the role of promotional strategies in attracting consumer interest. Price perception also has a significant influence, which means that the suitability of price with the benefits perceived by consumers can encourage purchasing decisions. The findings of this study confirm that improving product quality, setting prices that are in accordance with consumer perceptions, and implementing effective promotional strategies can strengthen purchasing decisions. Therefore, the results of this study are expected to be a reference for business actors in formulating marketing strategies for electronic products. Keywords: Product Quality, Price Perception, Promotion, Purchasing Decisions.

One of the factors that causes a company to grow is because of the maximum income or profit obtained. When raw material prices rise or there is an increase in labor and overhead costs , the company must incur higher costs to produce products. If this condition s not balanced with selling price adjustments, the profit margin will narrow and net profit will decrease. Net profit is a key indicator that reflects ai company's financial performance. Profit is a basic and important position of the financial overview that has various uses in various contexts, the definition of profit itself is the difference between expenses and income. The effect of production and sales costs on net profit at PT Unilever Indonesia Tbk during the period 2015 to 2022 reflects the complex phenomena faced by the company in carrying out its operations. During this period, PT Unilever faced various challenges organiting from market conditions, changes in rai material prices, and fluctuating consumer demand. The results of this study indicate that: (1) Production costs partially do not have ai significant effect on net profit, this is evidenced by ai significance value of 0.363 > 0.05. (2) Sales partally have ai significant effect on net profit, this is proven by ai significance value of 0.035 < 0.05. (3) Production and sales costs simultaneously haive ai significant effect on net profit, this is proven by ai significance value of 0.000 < 0.05. (4) The influence of the independent variables of production and sales costs on the dependent variable of net profit is 89.3%, while the remaining 10.7% is influenced by other factors outside this reseairch model.

This study aims to examine the effect of profitability ratios, namely Earnings per Share (EPS), Net Profit Margin (NPM), Return on Assets (ROA), and Return on Equity (ROE), on the stock price of PT Ciputra Development Tbk during the 2016–2023 period. The research employs a quantitative approach with a causal research design using secondary data derived from quarterly financial statements and stock closing prices published by the Indonesia Stock Exchange. The data were analyzed using multiple linear regression, supported by classical assumption tests, partial hypothesis testing (t-test), simultaneous testing (F-test), and the coefficient of determination (R²). The results show that EPS, NPM, and ROA do not have a significant effect on stock prices, while ROE has a positive and significant effect. Simultaneously, all profitability variables do not significantly influence stock prices. The coefficient of determination indicates that profitability ratios explain a relatively small proportion of stock price variation, suggesting that stock prices in the property sector are influenced more by external and market-related factors than by short-term profitability indicators. These findings imply that ROE is the most relevant profitability indicator for investors in assessing property sector stocks, while other profitability ratios play a limited role.

This study analyzes the effect of Bitcoin prices, the LQ45 Index, mutual fund net asset value (NAV), and the net profit margin (NPM) of gold mining companies on the price of gold as a safe haven asset within the context of the Indonesian financial market. Gold is often seen as a safe haven asset that is the primary choice of investors when economic uncertainty increases, but the relationship between gold and various other investment instruments still requires further study. This study uses a multiple linear regression method with a robust standard errors approach to analyze 420 monthly and quarterly data observations during the 2018-2022 period. The results of the study found that the price of Bitcoin and the NPM of gold mining companies had a significant positive influence on the price of gold, while the LQ45 Index had a significant influence effect. Meanwhile, the NAV of mutual funds showed a significant positive influence that was not in line with the initial hypothesis. These findings indicate that gold does not always function absolutely as a safe haven asset, as its role is contextual and still influenced by the dynamics of other investment instruments such as digital assets, stock markets, and mutual funds. The study's results make an important contribution to financial literature by proving that the safe haven characteristics of gold are complex and dynamic, so investors need to consider various factors and market conditions before allocating investments to gold as a hedging strategy in their portfolios.

This study aims to estimate changes in the Indonesian Sharia Stock Index (ISSI) from 2020 to 2025 using the Autoregressive Integrated Moving Average (ARIMA) model. The growth of the Islamic stock market in Indonesia has increased rapidly, driven by public awareness of investments that follow sharia principles, as well as changes in macro and microeconomic conditions, especially during the COVID-19 pandemic which has had a significant impact on the financial market. This study relies on monthly ISSI data taken from official sources and analyzed with a quantitative approach using the time series method using EViews version 13 software. Statistical analysis and stationarity tests indicate that the ISSI data exhibits an increasing trend pattern and quite high volatility, so that a differentiation process is necessary to achieve stationarity. Based on the results of model testing and the selection of optimal information criteria, the ARIMA (1,1,1) model was selected as the most appropriate to capture the autocorrelation pattern and produce accurate short-term predictions. Projections indicate a stable growth trend until the end of 2025, with an estimated index of more than 8.3 million. The findings of this study indicate that the ARIMA model is an effective tool for forecasting ISSI movements and can be a strategic consideration for investors, financial institutions, and policymakers in developing sustainable investment strategies in the Indonesian Islamic stock market.

This service activity was carried out in the Domestic Trade Sector, Central Java Provincial Industry and Trade Office with the aim of supporting the data collection process and updating the prices of basic necessities. This activity focuses on providing accurate and up-to-date price data as the basis for making price stabilization policies by local governments. The implementation of activities includes observation of the internal data collection system, daily price data input, data validation, and preparation of price development reports. In addition, the service team also coordinates with field officers and market managers to ensure the completeness of information and consistency of the data received. The technical assistance process related to the use of data collection application tools is also carried out to improve the competence of apparatus in managing information more effectively. The results of the activity show that systematic data updates are able to improve administrative efficiency, database accuracy, and support decision-making processes related to regional economic stability. Furthermore, the availability of more reliable price data allows local governments to detect potential price fluctuations early and formulate more timely and targeted intervention steps.

This study aims to analyze and project consumer prices of cabbage commodities at four levels: Ngawi Regency, Pacitan Regency, East Java Province, and nationally, using the additive Holt–Winters forecasting model. Monthly price data for the period January 2020–December 2024 were used to capture the dynamics of levels, trends, and seasonal patterns that affect price fluctuations. Model performance was evaluated using the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) indicators. The results showed differences in model accuracy between regions. East Java Province produced the best performance with the lowest MAE and RMSE values, indicating a more stable price pattern that was easier for the model to capture. In contrast, Ngawi Regency showed the highest volatility, resulting in greater forecasting errors. Pacitan Regency displayed a relatively consistent seasonal pattern with moderate accuracy, while national data showed smoother fluctuations due to the aggregation effect. Overall, the additive Holt–Winters model is effective for short-term projections in regions with low to moderate variability, but is less optimal in regions with highly volatile price dynamics.

Rubber prices experience significant and prolonged fluctuations, which impact farmer incomes and management decisions. Understanding historical patterns and price predictions is considered crucial for production planning, marketing, and farmer protection policies. This study aims to identify the characteristics of rubber price time series in Lahat Regency and develop a reliable forecasting model to support short- to medium-term decision-making. This study uses secondary data on monthly average producer prices for the period January 2019–December 2023. The analysis includes the Augmented Dickey–Fuller stationarity test to determine the need for transformation, differencing, and/or logarithmic transformation when necessary, identification of autocorrelation patterns using ACF/PACF, model estimation on the processed data, and evaluation of residual diagnostics (Ljung–Box, normality test) and forecasting accuracy metrics (RMSE, MAE, MAPE, Theil). The level data shows non-stationarity and becomes stationary after the first differencing; The model on log-transformed data had significant parameters and higher explanatory power than the model on de-differenced data, with RMSE and MAPE values ​​within a reasonable range. Forecast confidence intervals widened at longer time horizons, indicating increased projection uncertainty. Conclusion: Validated forecasts can inform farmers and policymakers to manage price risk and design market interventions.