Abstract:This study investigates factors driving purchase intention toward reject fashion products at factory outlets in Makassar, Indonesia. Reject products garments that fail manufacturer quality control standards but are sold…
legally at discounted prices represent an underexplored segment of circular fashion consumption. Drawing on the Theory of Planned Behavior and the Value-Based Adoption Model, this study tests a structural model in which four antecedents defect transparency, price perception, environmental consciousness, and store reputation influence purchase intention through the mediating role of perceived value. A quantitative survey was conducted with 250 consumers who visited factory outlets in Makassar. Data were analyzed using PLS-SEM via SmartPLS 4.0. Common Method Bias was confirmed absent using Harman's Single Factor Test and Full Collinearity VIF. Results indicate that all four antecedents positively influence perceived value, which strongly predicts purchase intention. Price perception is the dominant driver, followed by store reputation, environmental consciousness, and defect transparency. Perceived value fully mediates the effect of defect transparency and partially mediates the remaining three antecedents. These findings contribute to circular fashion consumer behavior literature and offer practical guidance for factory outlet operators in Eastern Indonesia.
Abstract:This study aims to analyze the influence of international prices, the rupiah–rupee exchange rate, non-tariff measures, and India’s import volume on the export value of Indonesian cloves to India. The research utilizes secondary…
s secondary data for the period 2015–2024. The analytical method employed is the Autoregressive Distributed Lag (ARDL) model to examine both short-run and long-run relationships, complemented by stationarity tests, cointegration tests, ECM estimation, and diagnostic and stability tests. The results show that international prices have a positive and significant effect on Indonesia’s clove export value, consistent with export-supply theory which states that higher global prices increase export incentives. The rupiah–rupee exchange rate displays a positive but insignificant relationship, indicating that exchange rate volatility is not sufficiently strong to influence changes in export value. Non-tariff measures, including SPS and TBT standards, are found to have a significant effect, reflecting the role of regulations in increasing compliance costs while simultaneously enhancing Indian consumer confidence in the quality of Indonesian cloves. India’s import volume also has a significant influence, showing that India’s domestic demand remains a major driver of Indonesia’s export value during the study period. This study is expected to provide insights for policymakers and industry players in strengthening trade strategies, particularly in enhancing the competitiveness of Indonesian clove exports through quality improvements, exchange rate stability, and compliance with non-tariff standards.
Abstract:This study aims to examine the influence of profitability and firm value on stock prices in health sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period. A quantitative approach with a documentation…
umentation method was employed in this research. The population consisted of all health sector companies within the specified period, while the sample was selected using a purposive sampling technique based on predetermined criteria, resulting in a total of 15 companies. Data were analyzed using panel data regression through the Economic Views (EViews) 12 software. The findings of this study indicate that, profitability (ROA) has a positive and significant effect on stock prices of health sector companies for the 2020–2024 period. Similarly, firm value (Tobin’s Q) also shows a positive and significant influence on stock prices within the same period
Abstract:This study aims to analyze the fundamental condition and assess the investment feasibility of eleven issuers that consistently appeared in the Sri Kehati Index during the 2020–2024 period. Fundamental analysis was conducted…
ucted using the financial ratios TATO, ROE, EPS, CR, DER, and DPR. The results show that UNVR and KLBF demonstrated high efficiency in asset management, while BBCA and BMRI exhibited strong profitability. JSMR had an aggressive capital structure but was supported by adequate liquidity. Meanwhile, UNVR and BBRI stood out for their generous dividend distribution policies. Stock valuation was carried out using two approaches: PER and PBV. Based on PER, nine issuers were classified as undervalued because their intrinsic values exceeded market prices, while two issuers (DSNG and SMGR) were considered overvalued. In contrast, the PBV approach indicated that ten issuers were overvalued, with only DSNG being undervalued. These differing results suggest that PER focuses more on a company’s earnings performance, whereas PBV emphasizes its book value. Therefore, stock investment assessment should be carried out comprehensively by considering more than one valuation method.
Abstract:This study examines the development of creative industry-based Micro, Small, and Medium Enterprises (MSMEs) in Ulunoyo District, South Nias Regency, with a focus on four main sectors: culinary, crafts, fashion, and music.…
. The purpose of this study is to describe the condition of creative MSMEs in Ulunoyo, identify the obstacles faced, and analyze the development strategies implemented by business actors to increase competitiveness. The method used is descriptive qualitative with data collection techniques through interviews, field observations, and documentation of 21 MSME actors in five villages. Data analysis was carried out through reduction, presentation, and verification of findings. The results show that the development of creative MSMEs in Ulunoyo is supported by the potential of community creativity, strategic location, and the existence of traditional markets as distribution centers. Development strategies include improving product quality, business diversification, design innovation, and the use of digital technology for promotion and marketing. However, a number of major obstacles are still encountered, including limited business capital, rising raw material prices, low managerial skills, lack of product innovation, limited market access, and high levels of competition. To overcome these obstacles, business actors carry out creative promotions, expand their collaboration networks, and utilize social media to reach a wider consumer base.
Abstract:In recent years, the housing market has faced significant challenges, including fluctuating prices and declining sales. To solve this issue, there was an increasing need for more sophisticated methods to predict housing…
prices accurately. This study aimed to provide real estate marketers with a tool to enhance their pricing tactics and mitigate the decline in home sales by predicting house prices using machine learning techniques. Several parameters were considered in this study, such as location, number of bedrooms, number of bathrooms, land area, building area, and number of carports. Linear regression and neural network methods were used to develop predictive models. The findings showed that the neural network method was more accurate than linear regression, which made it a better tool for real estate pricing strategies, with land area and number of carports being the most influential aspects in house price prediction.
Abstract:Stock price fluctuations in banking companies listed on the Indonesia Stock Exchange (IDX) reflect the financial condition of the company and are a major concern for both companies and investors. One of the factors that…
influences stock prices is the company's financial performance. This study aims to examine the effect of ROA and EPS on stock prices, both partially and simultaneously. This study uses a quantitative approach with secondary data in the form of annual financial reports of the population of all banking companies listed on the IDX for the period 2020–2023. The research sample was selected using a purposive sampling technique, resulting in 13 companies with a total of 52 data. Data analysis used multiple linear regression after going through the classical assumption test to ensure the feasibility of the model. The results of the study showed that partially, Return on Assets (ROA) did not have a significant effect on stock prices. This is thought to be due to the instability of external factors and market expectations that are not fully focused on the efficiency of asset use. Conversely, Earnings Per Share (EPS) has a positive and significant effect on stock prices, indicating that investors tend to prioritize earnings per share as the main indicator in assessing a company's prospects. This finding confirms that in the context of banking companies in Indonesia, EPS is more important than ROA in making investment decisions
Abstract:Inflation is a fundamental measure of macroeconomic stability that negatively impacts the nation's economy and affects many other macroeconomic variables. Thus, in this study, the major objective was based on modeling and…
d forecasting inflation in Ethiopia and its components using a VAR model. The analysis was based on annual data from 1992 to 2021, encompassing 30 years. The results indicated that all five series were non-stationary at the level but stationary after their first differencing at a 5% level of significance. Johansen's cointegration tests were conducted. The results indicated the presence of at least one co-integration relationship between the variables. The Vector Error Correction Model (VECM) was fitted to model short run and long run relationships among inflation and other macro-econometric series such as GDP growth, government expenditure, money supply, and imports, and the result indicated that the coefficient of error correction term is negative (-0.279), which indicated that the fitted VECM model continues to move toward long run equilibrium and converges. Granger causality tests were employed to explore potential causal relationships. Impulse response analysis and variance decomposition were used to determine the short-run interactions among the variables. Finally, using the fitted model, out-of-sample forecasts were produced, yielding forecasted plots and values for the endogenous variables. According to the forecasted inflation rates for the next five years, prices are projected to decrease by approximately 18.0% in 2022, 6.8% in 2023, and then increase by approximately 8.3% in 2024. Subsequently, prices are expected to decrease by approximately 2% in 2025 and 5% in 2026 over the specified time periods.
Abstract:This study aims to analyze the effect of investment and trade on Indonesian economic growth with a focus on the impact of the Russian-Ukrainian war. The conflict between Russia and Ukraine has caused significant global uncertainty,…
ncertainty, affecting international investment and trade flows. This study employs a quantitative approach using secondary data from various official sources. Through regression analysis, it was found that investment and trade have a significant impact on Indonesia's economic growth. However, the instability caused by the Russian-Ukrainian war affects this relationship, particularly through changes in commodity prices and disruptions in global supply chains. The results of this study provide important insights for policymakers to develop strategies that can mitigate the negative impacts of international conflicts on the national economy.
Abstract:The Pajarakan District area is an agricultural area where 61% of the area is rice fields. Even though the Pajarakan Subdistrict area has large agricultural land, it does not make farmers feel benefited when the harvest season…
eason arrives, because many of the farmers feel at a loss because their crops are bought by collectors at low prices. The purpose of this research is to create a system for selling agricultural products to help farmers sell agricultural products directly to agents in order to get a higher price than the price of collectors. In this study, a system was successfully created with the name YUK TANI based on Android using Android Studio, and the CodeIgniter 4 framework for creating REST APIs, and MySQL as database storage. With this system of selling agricultural products, it is hoped that it can help farmers in the Pajarakan District area to improve their economy when post-harvest arrives.