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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.

This study aims to forecast beef prices in Palembang City and at the national level in Indonesia using the Autoregressive Integrated Moving Average (ARIMA) method. The data used are the monthly average beef prices for the period January 2019 to December 2024. The analysis involves stationarity tests using Augmented Dickey-Fuller (ADF), model identification through Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) plots, parameter estimation with Maximum Likelihood Estimation (MLE), and residual diagnostics with the Ljung-Box and Jarque-Bera tests. The results show that beef prices at both regional levels are not stationary at the level but become stationary after the first differencing (I(1)). The best ARIMA models obtained are ARIMA(0,1,1) for Palembang City and ARIMA(1,1,0) for the national level. Both models successfully predict price fluctuations with a low error rate and show a moderate price increase trend. These findings provide practical implications for price stabilization policy making and beef-related business planning. The forecast results state that beef prices in Palembang City and nationally are predicted to tend to rise in 2025 from January to December.  

This study discusses allegations of abuse of dominant position by Lion Air Group in the domestic aviation market and air cargo services in Indonesia. By controlling more than 50% of the market share, the group is suspected of unilaterally setting ticket prices and logistics costs, which could hinder healthy business competition and harm consumers and competing airlines. This study uses a normative juridical approach with a descriptive qualitative analysis method, supported by secondary data from legislation, KPPU reports, and academic literature related to competition law. The study's findings indicate that the concentrated market structure and weak regulatory oversight contribute to the formation of dominant behavior that harms the market and consumers. Legally, such actions violate Article 25 of Law Number 5 of 1999, as they result in discriminatory practices and unreasonable price control. Synergy between the KPPU and the Ministry of Transportation is needed to strengthen regulations in the aviation sector in order to create a business climate that is more fair, competitive, and oriented towards public welfare.

This study aims to analyze the capital market reaction to the groundbreaking event of the new capital city (IKN) on the stock prices of property and construction sector companies listed on the Indonesia Stock Exchange (IDX). This research employs a quantitative approach using the event study method with an observation period of 11 days, consisting of 5 days before (t-5), the event day (t), and 5 days after (t+5) the event. The sample includes property and construction sector companies that were actively traded during the observation period. Data analysis was conducted using the Paired Sample t-test through SPSS to examine differences in Abnormal Return (AR), Cumulative Abnormal Return (CAR), and Trading Volume Activity (TVA) before and after the event. The results show that there is no significant difference in AR and TVA, but there is a significant difference in CAR, indicating that the market reacted cumulatively to the groundbreaking IKN information. These findings support the semi-strong form of market efficiency theory, suggesting that the market requires time to fully reflect information into stock prices.

This study aims to analyze the marketing strategies implemented by CV Mitra Agung to increase consumer purchasing interest in the Sungai Pinyuh District. Using a qualitative descriptive approach, data collection was conducted through in-depth interviews, direct observation, and documentation studies. The results of the analysis indicate that the implementation of an integrated marketing mix (product, price, place, and promotion) has been significantly successful in increasing both consumer purchasing interest and loyalty. The main supporting factors for this success include offering products with consistent quality, setting competitive prices compared to competitors, active and creative promotions, especially through the use of social media, and selecting a strategic and easily accessible business location. Despite showing positive results, this study also identified several challenges faced by the company, namely limited operational capital and limited market reach, which need to be addressed for future business development. Based on these findings, several important recommendations are provided, These include continuous innovation in product variants, optimizing and maximizing the use of digital media platforms to increase brand awareness, and improving the quality of customer service. These recommendations are expected to help CV Mitra Agung expand its market share, improve sales performance, and ensure business sustainability.

This community service activity aims to assist the Ibu Jum Tempe Home Industry MSME in Bandar Lampung in implementing the process costing method as a more accurate, measurable, and efficient production cost calculation system. To date, MSMEs still use simple cost recording without a clear separation between raw material costs, labor, and factory overhead, so that product selling prices often do not reflect actual production costs. To address this problem, this activity was carried out through several stages, namely interviews to explore MSME needs and problems, production process observations, socialization regarding the importance of cost accounting systems, and direct training in the preparation and implementation of process costing. The results of the activity showed an increase in MSME owners' understanding of cost classification, unit cost calculations, and the preparation of production cost reports. After the process costing method was implemented, MSMEs were able to calculate costs more systematically and consistently, thus being able to determine more appropriate and competitive selling prices. In addition, the implementation of this method also contributed to increased cost management efficiency, transparency of financial information, and the managerial ability of business actors in making more appropriate decisions related to cost planning and control.

Educational inequality in Indonesia remains a significant challenge, as reflected in the low proportion of citizens with higher education degrees and the predominance of high school graduates as the highest educational attainment. University students, as part of the educated minority, hold a moral responsibility to redistribute the academic privilege they possess to the broader community. This article presents a report on a Community Service Program (PKM) titled It’s English Buddy, an online English-teaching initiative launched by students of the International Relations Study Program at UPN Veteran Jakarta. The program offers individual and group English conversation sessions at affordable prices, adopting a non-distributing profit approach to ensure operational sustainability. Supported by literature on the effectiveness of online learning in enhancing academic performance through flexibility and accessibility, the program has successfully reached participants of various ages and backgrounds. The results show that most participants are women and were recruited primarily through personal networks, highlighting the importance of public communication strategies and trust-building. Overall, It’s English Buddy demonstrates the potential of student-led grassroots educational initiatives as a meaningful contribution to expanding learning opportunities within society.

Micro, small, and medium enterprises (MSMEs) play an important role in the Indonesian economy, both in creating jobs and strengthening the national economy. However, amid the rapid pace of digital technology development, MSMEs cannot rely solely on traditional methods such as manual or offline marketing. Indonesia is a country with a Muslim majority population. This presents a huge opportunity for the Muslim fashion industry, including the Nibras brand located in Sooko Mojokerto. This study aims to examine in depth the application of sharia marketing strategies through the 7Ps at Nibras House Sooko Mojokerto, as well as its implementation in digital marketing. The research method used a descriptive qualitative approach through interviews with the owner and employees of Nibras House Sooko Mojokerto. The results show that Nibras House Sooko Mojokerto has implemented sharia principles in all aspects of marketing with sharia-compliant products, fair prices, honest promotions, strategic locations, good staff, fast and responsive service processes, and good customer reviews. Additionally, Nibras House Sooko Mojokerto utilizes digital marketing through e-commerce and social media to expand its market and strengthen its competitiveness against new Muslim brands.

The main problem in empowering fish farming communities in Dawuhan Village, Poncokusumo District, Malang Regency is how to empower communities through the Peti Koin Bermantra Program in Dawuhan Village, Malang Regency, such as low managerial capacity, weather constraints, high feed prices, and limited market access, which have an impact on the suboptimal economic improvement of the community. This study aims to analyze the implementation of the Peti Koin Bermantra Program in empowering fish farming communities to improve their economic welfare. The study uses a qualitative method with a descriptive approach, as well as the community empowerment theory of Hashemi, Schuler, and Riley (1996). The results show that the Peti Koin Bermantra Program contributes positively to improving community welfare through eight empowerment indicators, such as increased mobility, small-scale purchasing power, ability to make larger purchases, involvement in major decisions, freedom, political and legal awareness, participation in public protests and political campaigns, economic security, and contribution to family support. The success of the program was supported by collaboration between facilitators, the East Java Provincial Marine and Fisheries Service, and the Malang Regency Fisheries Service, although there were still obstacles in terms of capital, group management, and product innovation. To support the sustainability of the program,

The growth of digital transactions has made it easier for people to buy goods or services, including concert tickets. However, this convenience also increases the risk of fraud, especially through social media. The case of Golden Disc Award (GDA) 2024 ticket fraud on Twitter shows a systematic modus operandi, such as the use of fake accounts and identities, suspiciously cheap ticket prices, and the transfer of communication to private platforms. Victims suffer material and psychological losses, while perpetrators often disappear after receiving payment. Legally, these actions violate Article 378 of the Criminal Code, the Electronic Information and Transactions Law, and consumer rights as stipulated in the Consumer Protection Law (UUPK). This study emphasizes the importance of consumer protection in digital transactions, strengthening regulations, and improving public digital literacy to prevent fraudulent practices. Collaboration between the government, law enforcement agencies, concert organizers, digital platforms, and consumers is key to improving the security of online transactions.

This study examines the stock market reaction to the Christmas and New Year holidays by analyzing abnormal return and trading volume activity for companies consistently listed in the LQ45 Index during 2021–2023. Using a quantitative causal approach and an event study design, the research observes market behavior within a 10 day estimation window and a 10 8day event window surrounding the holiday period. The findings show that abnormal return exhibits limited but notable reactions, with a significant decline observed before the holiday, indicating that investors tend to reduce risk exposure prior to market closure. After the holiday, significant movements still appear, but they remain negative, suggesting that investor activity and confidence have not fully recovered. In contrast, trading volume activity does not show significant differences either before or after the holiday, implying that changes in prices are influenced more by sentiment and price adjustments rather than shifts in trading intensity. These results indicate that the Indonesian capital market demonstrates characteristics of a semi-strong form efficiency, where public information such as national holidays is largely anticipated and absorbed by the market.

The decline in sales of UD Swasta Nulus in the 2022–2024 period and the increasing competition in the printing business in Denpasar City are phenomena related to consumer purchasing decisions. This study aims to analyze the influence of product quality, price, and promotion on consumer purchasing decisions of UD Swasta Nulus in Denpasar. This study is associative-causal with a quantitative approach. The study population consisted of 385 active consumers, with a sample of 80 respondents determined using the Slovin formula. Primary data were collected through a questionnaire using a Likert scale and analyzed using multiple linear regression. The results showed that product quality had a positive and significant effect on purchasing decisions. The price variable also had a positive and significant effect on purchasing decisions. In addition, promotion had the most dominant influence on purchasing decisions, with the highest beta value and coefficient compared to other variables. Simultaneously, the three independent variables had a positive and significant effect on consumer purchasing decisions of UD Swasta Nulus. This study enriches the empirical discourse in service marketing management, particularly in the printing sector, by emphasizing the importance of the marketing mix consisting of product quality, price, and promotion in shaping consumer purchasing decisions. Practically, these findings are expected to provide insights for UD Swasta Nulus in formulating more effective marketing strategies, especially through improving print quality, setting competitive prices, and strengthening digital-based promotional strategies to reach wider consumer segments.

The problem with the sugarcane press machine is a decrease in performance in sugarcane pressing because it has been used since 2020 with an initial price of IDR 3,000,000, which is predicted to be IDR 5,500,000 in 2025 which occurs in the main components of the roler mill, V-belt, and bearings. The purpose of scheduling replacements and repairs is to obtain a schedule, estimated maintenance costs, and the ratio of replacement and repair costs to the profit of renting a sugarcane press for the period 2026. The scheduling method includes collecting data on the use of the sugarcane press machine, a list of replacements for 5 components for roler mills, V-belts, bearings, gasoline motor tanks, and engine frames from 34 components, component prices, estimated labor costs, equipment costs, supporting material costs, application of the inspection, replace, repair, and overhaul (IRRO) method, scheduling replacements and repairs, and calculating the ratio of replacement costs to profits. The results of the replacement and repair scheduling are in the form of maintenance costs of IDR 958,000, with a rate of IDR 10,000/hour for 588 hours/year, resulting in a profit of IDR 5,880,000, and a ratio of maintenance and repair costs to profit of 0.16%.