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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. 

This study applies the Mean Variance model, which aims to form an optimal portfolio composition in the health, property, and cyclical consumer sectors and combine the three sectors into one portfolio, then visualize its efficient frontier. This study analyzes the return profiles and compares the risks of each portfolio using alternative risk measures such as the Coefficient of Variation (CV), Value at Risk (VaR), and Conditional Value at Risk (CVaR). Daily closing price data for the three sectors listed on the Indonesia Stock Exchange (IDX) from March 2, 2020, to March 3, 2025, were used in this study. Stock selection was conducted using purposive sampling, followed by selecting seven stocks for optimization based on the lowest Coefficient of Variation (CV) value. Portfolio optimization analysis was conducted using the Python programming language with Visual Studio Code software. The findings of this study indicate that the combined portfolio incorporating the three sectors is the most efficient, with an expected return of 0.104%, standard deviation of 0.007, and alternative risk measures such as Coefficient of Variation (CV) 6.9328, Value at Risk (VaR) of -0.99%, and Conditional Value at Risk (CVaR) of -1.44%, which are lower than those of single-sector portfolios. Visualization of the efficient frontier curve confirms that the combined portfolio offers better results in terms of risk and return. The results of this study indicate that cross-sector diversification can significantly reduce risk and prevent significant losses.

This research investigates the effect of fundamental factors, namely the current ratio, debt to equity ratio, and return on equity on stock returns of mining firms listed on the Indonesia Stock Exchange (IDX) during 2021–2023. The research highlights the utility of understanding a firm’s financial performance in guiding investment selection within the capital market. Although the mining industry contributes significantly to Indonesia’s economy, stock movements in this sector are often subject to uncertainty due to market fluctuations and commodity price volatility. This research utilizes secondary data from annual financial statements and stock price records of 51 IDX-listed mining companies over the study period. Panel data regression, combined with descriptive and quantitative statistical techniques, was employed using E-Views 12 software. The findings reveal that stock returns are significantly influenced by the current ratio, debt to equity ratio, and return on equity. These results provide useful insights for investors, financial analysts, and corporate management by emphasizing the function of fundamental indicators in assessing stock performance, particularly within the mining sector.

This study aims to analyze the role and effectiveness of Islamic monetary policy in Indonesia in facing digital transformation, particularly through the instruments of Sertifikat Bank Indonesia Syariah (SBIS) and Sukuk Bank Indonesia (SukBI). The digital transformation of the national financial system demands an adaptive monetary policy that remains grounded in the principles of maqashid shariah. In the context of Islamic economics, monetary policy not only functions to regulate the money supply and maintain price stability but also ensures the realization of justice and economic welfare. This research employs a descriptive qualitative approach, using literature-based data collection from official publications of Bank Indonesia, the Financial Services Authority (OJK), and relevant academic references on Islamic monetary policy. The analysis adopts an inductive approach by examining the roles of SBIS and Sukuk BI in supporting the stability of the Islamic financial system and their alignment with maqashid shariah values such as al-‘adl (justice), al-wudhuh (transparency), and ar-rawaj (circulation of wealth). The findings indicate that digitalization has positively impacted the efficiency and transparency of Islamic monetary instruments, where SBIS plays a role in regulating the liquidity of Islamic banks in a non-usurious manner, while Sukuk BI serves as an essential instrument in maintaining national economic stability. Nevertheless, challenges remain, including the limited digital infrastructure for Islamic finance and the need to strengthen regulations to ensure that digital monetary systems remain consistent with sharia principles.

This study aims to analyze the role of emotional response in the relationship between price discounts, store atmosphere, and shopping emotions on impulse buying among Matahari Department Store Pekalongan consumers. This study used a quantitative method with an accidental sampling technique on 100 respondents. Data analysis was conducted through instrument testing, classical assumption testing, hypothesis testing (t-test), path analysis, and the Sobel test. The results showed that price discounts had a significant effect on impulse buying. Store atmosphere was also proven to have a significant effect on impulse buying. Furthermore, shopping emotions had a significant effect on impulse buying. In addition, emotional response had a significant effect on impulse buying and was proven to mediate the influence of price discounts, store atmosphere, and shopping emotions on impulse buying. This study provides important insights for marketers, especially in designing marketing strategies that prioritize the influence of consumer emotional factors in driving impulsive behavior. By considering these factors, companies can be more effective in increasing sales through setting price discounts, store atmosphere, and utilizing consumer emotions positively.

This study analyzes the forms of risk and risk management strategies in melon farming in Brebes as an impact of climate change. A descriptive qualitative approach was applied using a case study through in-depth interviews with a farmer who has more than ten years of experience, supported by secondary data from BPS, BAPPENAS, and related literature. The findings reveal four categories of major risks: market, financial, operational, and socio-environmental. High-level risks include climate variability, yield decline, and pest attacks. Medium-level risks involve production costs, water management, and price fluctuations, while low-level risks consist of limited weather information and agricultural extension services. Current strategies are still basic, including fertilization, pesticide application, and water channel arrangement. Strengthening adaptation is needed through irrigation technology, climate-resilient varieties, marketing diversification, and improved access to information and institutional support.

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.

The development of information technology has transformed trade from traditional markets to digital platforms, including Cash on Delivery (COD) payment systems. This study analyzes the integration of the COD system with the istishna contract in online transactions (specifically on Shopee), its implementation mechanisms, and its validity according to Islamic jurisprudence (fiqh muamalah). The research method used a descriptive qualitative approach through digital observation and literature review. The focus of the study was on pre-order or custom product transactions made after a specification agreement between the buyer (mustashni') and seller (shani'). The results showed that the COD system is valid in the istishna contract because it allows for final payment upon receipt of the goods. This is in accordance with Sharia law as long as the product specifications are clear, the price is transparent, and the buyer's right to khiyar is fulfilled to ensure the goods conform to the contract. As long as it is free from riba (usury), gharar (gharar), and tadlis (tadlis), the COD method in istishna transactions reflects fairness, openness, and benefits for both parties in the digital economy ecosystem.

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.

The rapid development of smartphone technology today creates challenges for consumers and manufacturers in determining an objective price range based on highly varied technical specifications. This study aims to implement the Random Forest algorithm in classifying smartphone price ranges into four main categories, namely low, mid-range, high, and flagship. The research method was carried out systematically through the stages of loading a dataset of 2,000 entries, exploratory data analysis (EDA) to ensure data integrity, and model training with a training and testing data split of 80:20. The results showed that the Random Forest model achieved a significant overall accuracy rate of 89%. Based on feature importance analysis, it was found that RAM capacity was the most dominant determining factor, contributing 47% to prediction accuracy, followed by battery power and screen resolution as supporting features. These findings have strategic implications for manufacturers to prioritize memory capacity upgrades in determining product pricing in the market, as well as providing guidance for consumers in assessing the fairness of a device's price based on its technical capabilities.

This study aims to examine the relationship between Corporate Social Responsibility (CSR) disclosure and profitability with firm value. The research was conducted on companies in the oil, gas, and coal sub-sector listed on the Indonesia Stock Exchange (IDX) during the 2021–2024 period. The independent variables in this study are corporate social responsibility disclosure and profitability, while firm size is employed as a control variable. Firm value is proxied by Price to Book Value (PBV), whereas profitability is measured using Return on Equity (ROE). This study is grounded in Stakeholder Theory and Signaling Theory to explain the relationships among the variables. The sample was determined using purposive sampling, resulting in 29 companies. The data analysis techniques applied include Pearson correlation analysis and multiple linear regression to examine both the simple relationships and the effects of corporate social responsibility disclosure and profitability on firm value. The results indicate that corporate social responsibility disclosure has a negative relationship with firm value, while profitability shows a positive and significant relationship with firm value.

The problems encountered are damage to the rubber wheel mount and universal/cross joints on the 90 m/hour capacity wood profile making machine, which can affect the uniformity and speed of wood profile making. Maintenance and repair planning aims to be able to create a maintenance and repair schedule for the 90 m/hour capacity wood profile making machine for the period 2026, estimate maintenance costs and the ratio of maintenance and repair costs to machine profits. The maintenance planning method includes collecting maintenance data from previous maintenance periods, reviewing the specifications of the wood profile making machine, estimating the age and price of components that are estimated to be damaged, estimating the cost and duration of dismantling and installing components that have been repaired in accordance with the provisions of the requirements for usable components or replacement spare parts, scheduling maintenance and repairs, estimating maintenance and repair costs for the period 2026, and determining the ratio of maintenance costs to profits. The planning results in the form of a maintenance-repair schedule for the period 2026; maintenance and repair costs in 2026, the ratio of maintenance costs to profits, and their implications indicate that the machine is still prospective and usable.

This study aims to analyze the factors affecting real wages of construction workers across provinces in Indonesia from 2010 to 2023 using panel data analysis. The independent variables include Provincial Minimum Wage (UMP), Consumer Price Index (CPI), Open Unemployment Rate (TPT), and Performance Pay (Balas Jasa). A panel dataset of 476 observations from 34 provinces over 14 years was analyzed using three model approaches: Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). The best model was determined through Chow Test, Hausman Test, and Lagrange Multiplier Test, which confirmed that the Fixed Effect Model (FEM) is the most appropriate for analyzing this research data. FEM estimation results show that simultneously, all independent variables (UMP, CPI, TPT, and Performance Pay) have a significant effect on real wages with an F-statistic value of 436,465.9 (p-value = 0.0000 < 0.05), indicating that the model as a whole is highly valid and capable of explaining the variation in real wages collectively. However, partial tests reveal that only the Real Wage variable has a positive and statistically significant effect on Performance Pay (coefficient = 106.3320; t-statistic = 1276.083; p-value = 0.0000), while UMP (p-value = 0.1472), CPI (p-value = 0.6460), and TPT (p-value = 0.6934) show no significant effects at the 5% significance level. The research model demonstrates very high predictive ability with an R-squared value of 0.999735 (99.97%), indicating that the variables studied can explain nearly all variation in real wages of construction workers at the provincial level. This research provides policy implications that improving real wages in the construction sector requires an integrated approach that focuses not only on minimum wage setting but also on regional inflation control, human capital quality improvement, and creating conducive labor market conditions through unemployment reduction

The fitness industry has shown rapid growth as public awareness of the importance of healthy lifestyles increases in today's world. Gyms no longer function solely as a place to exercise, but also offer value and a sustainable experience for their members. The ability to manage a gym and retain members in this increasingly competitive era encourages gym owners to be more sensitive to factors that could potentially affect member satisfaction and loyalty. To improve the quality of the gym, it is necessary to evaluate the price and quality offered in the form of well-maintained and complete facilities. The suitability of the price to the benefits felt by members will make them more loyal to training at the gym. Likewise, comfortable facilities can increase member loyalty, which in turn drives member satisfaction, especially at Velcro Gym.

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.

This study aims to analyze the influence of macroeconomic variables in the form of the dollar exchange rate, inflation, and Gross Domestic Product (GDP) on the Composite Stock Price Index (JCI) in Indonesia for the period 2010–2024. The research method used is a quantitative approach with multiple linear regression analysis using time series data obtained from Bank Indonesia, the Central Statistics Agency (BPS), and the Indonesia Stock Exchange (IDX). The data analysis technique was carried out through classical assumption tests and hypothesis testing to determine the relationship between variables. The results of the study show that partially GDP has a significant effect on the JCI, while inflation and the dollar exchange rate tend not to have a significant effect. However, simultaneously these three variables have a significant influence on the JCI. These findings show that macroeconomic stability is very important in maintaining the performance of the capital market in Indonesia and can be a reference for investors in making investment decisions. In addition, the results of the study confirm that national economic growth is the main indicator that market participants pay attention to in assessing investment prospects. Therefore, the government needs to maintain economic stability through effective and sustainable fiscal and monetary policies.

The skincare industry in Indonesia is experiencing rapid growth, primarily driven by the significant development of e-commerce and increased consumer awareness of self-care. This surge has resulted in intense competition among brands. This comparative study aims to analyze the role of trust as a mediating variable that connects price fairness, celebrity endorsements, and e-WOM to repurchase intentions for two brands: Somethinc (a science-based brand) and Wardah (a halal-based brand). A quantitative research method was used, involving a survey with a 5-point Likert scale distributed to 150 millennials and Gen Z respondents in Semarang City. The data were analyzed using PLS-SEM (SmartPLS). The findings reveal that both celebrity endorsements and trust have a significant impact on repurchase intentions for both brands. In contrast, price fairness and e-WOM do not have a significant direct effect on either brand. However, the study shows that trust effectively mediates the influence of price fairness, celebrity endorsements, and e-WOM on repurchase intentions. This underscores the vital role of trust in enhancing customer loyalty to Somethinc and Wardah. These findings suggest that strengthening brand trust in skincare products can significantly boost customer loyalty.

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.