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This study examines pricing mechanisms in the buffet system at Wisma Tamu Al Ishlah Restaurant from the perspective of Islamic economic justice principles. This research is crucial given the limited studies that analyze buffet pricing practices from an Islamic economic perspective, particularly in a pesantren (Islamic boarding school) environment. This research adopts a qualitative approach with field research methods, utilizing interviews, observations, and documentation for data collection. The findings indicate that the pricing mechanism at Al Ishlah Restaurant employs a cost-based method, setting prices based on raw material costs, capital, operational expenses, and production services, adjusted according to the types of food selected by customers. Generally, the pricing practices at Wisma Tamu Al Ishlah Restaurant align with Islamic economic justice principles, ensuring that no party is disadvantaged and upholding honesty in transactions. Prices are established through mutual agreement between the restaurant and the customer, ensuring fairness. However, price transparency presents a challenge that could affect consumer perceptions. This research contributes to the development of Islamic economic theory in the culinary business context and provides recommendations to enhance justice in buffet pricing..

Competition in the business world has become increasingly intense, compelling business actors to establish competitive advantages in order to survive and boost sales. Among the strategies that can be implemented is to enhance service quality while offering competitive prices. This study aims to analyze the services provided to buyers as partners by KIA consultants and to investigate the impact of these services on customer satisfaction. The method employed is quantitative descriptive, utilizing a survey technique to sample the population, with a questionnaire as the primary tool for data collection using a Likert scale. The targeted population consists of buyers or visitors at KIA dealerships located in Bogor, Jakarta, and several other areas. The sample in this study comprises 90 respondents. The results indicate that the service quality variable has a significant impact on customer satisfaction, with a t-test significance value of 0.000, which is less than 0.05. Conversely, the price variable does not influence customer satisfaction, with a t-test significance value of 0.298, which is greater than 0.05. Additionally, both service quality and price collectively affect customer satisfaction, with an F-test significance value of 0.000, which is also less than 0.05.    

Foodstuffs are raw materials in the form of agricultural, vegetable and animal products that are used by the food processing industry to produce a food product. Food ingredients consist of plant foods and animal foods. Food is the most basic need for human resources in a country. Food prices sometimes experience erratic increases or decreases. The aim of this research is to determine the results of food price predictions in the Deli Serdang Regency area using the Backpropagation algorithm. The data used in this research is food price data from 2020 to 2023 which comes from the official National Food Ingredients website. This research uses the Backpropagation algorithm artificial neural network method which uses several architectural models and the results of this test will produce the best accuracy values. The test results show that the best architecture for research on implementing the backpropagation algorithm in predicting food prices in Deli Serdang Regency is 2-10-1 with an accuracy of 87.5% and the 2-3-8-1 architecture with an accuracy of 87.5%.

This study aims to comprehensively explore the implementation of collateral auctions at Pegadaian Syariah KM.6.5 Bengkulu Branch. Pegadaian Syariah provides financing services based on sharia principles with collateral of valuable goods. When customers fail to repay loans within the specified period, the Islamic pawnshop uses collateral auctions as a last resort to protect the financial rights of the institution. This study analyzes the auction procedures implemented, the obstacles faced, and the impact of auctions on customers. The research method is qualitative descriptive, involving observation, interviews with pawnshops, and document analysis. The results of the study indicate that auctions at Islamic pawnshops follow the principles of fairness, transparency, and sharia; however, challenges such as determining optimal prices and customer education are still obstacles that need to be considered.

The money supply can affect other economic variables, such as output and prices, create stability in the economy and help achieve the ultimate goal of monetary policy, namely the stability of inflation and exchange rates.  The level of the exchange rate by the monetary authority must be kept stable because an unstable exchange rate, especially one that experiences a sharp depreciation, can have financial crisis implications. This research approach was associative/quantitative research. The data used in this study are secondary data taken and processed from Bank Indonesia (BI) and the Central Statistics Agency (CSA) from 2013-2023 (11 years). Based on the results of regression analysis shows that the variable money supply, exchange rates, and interest rates simultaneously affect the inflation variable. Based on the results of regression analysis shows that the variable money supply has a positive and significant effect on inflation. Based on the results of regression analysis, the exchange rate variable has a negative and significant effect on inflation. Based on the regression analysis, the interest rate variable has no statistical effect on inflation.

Inflation is a complex economic phenomenon and has a broad impact, including on a country's import policy. When inflation occurs, domestic prices of goods and services increase, thereby increasing production and consumption costs. As a result, producers must increase product prices to maintain profit margins, which can reduce domestic demand and increase demand for imports because local prices become more expensive than imported goods. In addition, inflation also weakens the value of a country's currency, increases the demand for foreign exchange to pay for imports, and worsens the exchange rate. Countries with high inflation rates often experience trade deficits due to a surge in imports and a decline in exports, which in turn depletes foreign exchange reserves because they are needed to pay foreign debt and import goods that are needed but can no longer be exported. To overcome inflation, countries can adjust their strategies. import with more effective measures. Several steps that can be taken include: (1) Optimizing the Import List, namely prioritizing essential goods that are difficult to re-export; (2) Negotiation of Import Tariffs, with the aim of reducing import costs and increasing trade flexibility; and (3) Investment in the Local Manufacturing Sector, in order to reduce dependence on imports and increase domestic competitiveness. With this strategy, import policies can be anticipated and prepared proactively to be more effective in dealing with inflationary conditions. This abstract discusses the impact of inflation on import policies and strategies to deal with it, such as optimizing import lists, negotiating import tariffs, and investing in the local manufacturing sector.

This study aims to evaluate the accuracy of the Fibonacci Retracement and Moving Average Convergence Divergence (MACD) technical indicators in analyzing the movement of banking stock prices listed on the LQ45 index in the 2020 period. Based on data from PT Kustodian Sentral Efek Indonesia (KSEI) in 2023, there was a significant increase in the number of investors in the Indonesian stock market by 103.6 percent in 2020. This study uses a quantitative descriptive approach with a census method for sampling, which resulted in 5 banking companies as samples: BBCA, BBNI, BBRI, BBTN, and BMRI. Data analysis was carried out using the Fibonacci Retracement indicator to identify potential support and resistance levels, and the MACD indicator to evaluate the strength, direction, and momentum of stock price movements. The results showed that 11 of the 11 signals generated by the Fibonacci Retracement were proven to be accurate, while 43 of the 53 signals generated by the MACD were also proven to be accurate. In conclusion, the buy and sell signals generated by the Fibonacci Retracement and MACD indicators are reliable and effective for use in banking stock trading.

Factor analysis is a statistical method aimed at exploring correlations or relationships among variables studied, which are then grouped into fewer new factors. Principal Component Analysis (PCA) is a statistical technique used to reduce the dimensions of data with the goal of identifying hidden patterns or significant structures within the data. The research results indicate the presence of 5 factors influencing the decision-making process in online shopping among students of the University of North Sumatra via Shopee, namely the Funding Application Factor (28.141%), Information Reputation Factor (13.983%), Communication Satisfaction Factor (7.452%), Types and Compensation Factor (6.683%), and Guarantees and Prices Factor (5.794%). These five factors obtained a cumulative variance of 62.051%, indicating that they influence online shopping decisions through Shopee among University of North Sumatra students by 62.051%.

Instant noodle consumption in Indonesia has continued to increase in the last few years, which indicates that there are more business opportunities for instant noodle products in Indonesia. Proved by the number of instant noodle brands scattered on the market. This has led to increased competition among companies in order to be the best in the eyes of consumers. Marketing strategies are needed to win competition as well as increase sales, ranging from taste innovations, prices, product quality, promotions, and so on. In this study, game theory is used to investigate the competition between Mie Sedaap, Gaga, and Supermi. Using pure strategy is obtained game value that shows that the optimal strategy for Mie Sedaap is ease of purchase, the optimum strategy for Gaga is packaging strategy, and the optimum strategy for Supermi is price strategy.

Ethics and integrity play a crucial role in creating an academic environment free from corrupt practices. As a center of learning, the campus should serve as a model for its students in upholding high moral and ethical standards. This article aims to highlight the importance of ethics and integrity as fundamental pillars in efforts to prevent corruption within the academic setting, such as on campus. Through a qualitative approach, data were collected from interviews with two campus workers—a canteen staff member and a parking attendant—who frequently interact indirectly with students and staff. These interviews explore their perspectives on the importance of being honest, responsible, and disciplined in their daily work. The findings show that even though they are not involved in academic activities, both workers contribute significantly to fostering an anti-corruption culture on campus. The canteen staff emphasized the importance of transparency in setting food prices to maintain students' trust, while the parking attendant stressed the need for discipline and order in managing the parking system to prevent irregularities. This article also examines how simple ethical behaviors, such as honesty in transactions and adherence to rules, can have a substantial impact on creating an integrity-driven campus environment. Therefore, the implementation of ethics and integrity is not solely the responsibility of academics but also of every element of the campus community without exception. In conclusion, strengthening the culture of ethics and integrity across all aspects of campus life is an essential part of a sustainable strategy to prevent corruption.

Bid rigging, an illegal practice that undermines the principles of fair business competition, is widespread in government procurement of goods and services. The actions of business actors who deliberately control tender winners not only harm the state, but also deprive consumers of their right to obtain quality products and services at competitive prices. This research in-depth analyzes the practice of bid rigging in the perspective of Law Number 5 of 1999 concerning Prohibition of Monopolistic Practices and Unfair Business Competition, especially Article 22. Using a statutory approach, this research reveals the impact, forms and legal sanctions on the practice. bid rigging in the procurement of government goods and services. It is hoped that the results of this research can provide effective policy recommendations to prevent and take firm action against the practice of bid rigging, so as to create a healthy and fair business competition climate.

The infrastructure, utilities and transportation sectors play an important role in a country's economy. Profitability is a key indicator in assessing the performance of companies in this sector. However, achieving profitability is faced with various challenges, including large capital investments, high operating costs, strict government regulations, and changes in global economic conditions. This study uses a literature study method to analyze the factors that affect the profitability of companies in the infrastructure, utilities, and transportation sectors. The results of the analysis show that financial factors, operational efficiency, technology, regulations, and external conditions such as market demand and global energy prices play a significant role in determining the level of profitability. Companies that are able to manage their capital structure, utilize technology, and adapt to regulations and dynamic economic conditions have a great opportunity to improve their financial performance. This study provides in-depth insights into how companies can manage internal and external factors to achieve sustainable profitability.  

This study aims to determine and analyze stock prices by looking at the direct and indirect effects between inflation, interest rates, exchange rates, ROA and stock prices in Islamic Banks in Indonesia. This study uses panel data regression with variables of inflation, interest rates, exchange rates, ROA, and stock prices with data analysis using SPSS 22 software. The period of this study is 2020-2022. The results of this study indicate that inflation, interest rates, and exchange rates are significant to ROA. Inflation and ROA are directly significant to stock prices. Meanwhile, interest rates and exchange rates directly have no effect on stock prices. For the indirect relationship between inflation, interest rates, and exchange rates affect stock prices through ROA.

The majority of MSME players in Kebun Sayur village, Siantar Timur sub-district, Pematangsiantar city have a poor understanding of how to calculate the correct selling price of products. They also do not understand how to identify costs and classify them appropriately. The selling prices they set for their products are not based on full cost estimates. As a result, the profit they make is not optimal. In view of these problems, a service activity in the form of socialisation was carried out for MSME actors in Kebun Sayur village. This socialisation activity aims to increase the insight and knowledge of MSME actors in Kebun Sayur village, Siantar Timur sub-district, Pematangsiantar city regarding product selling price determination. The socialisation activity was attended by 30 participants. The stages of service activities include preparation stage, implementation stage and evaluation stage. After participating in the service activities, the participants' insight and knowledge in product selling price determination increased. The participants were also able to identify and classify costs in the businesses they manage. This service activity has a positive impact on increasing the insight and knowledge of MSME actors.

Investment is the act of placing funds in the hope of getting additional money or profits. Basically, investing involves placing a certain amount of funds today in the hope of making a profit in the future. From this understanding, it can be concluded that stock investment is the allocation of current sources of funds with the hope of gaining profits in the future through purchasing securities in the form of shares. The aim is to obtain additional or certain profits from the funds invested in trading shares on the stock exchange.  

Great infrastructure and economy development with an increasing population in the West Koya Village and the occurrence of various land changes in the West Koya Village. The purpose of this study is to identify changes in agricultural land in West Koya, to determine the effect of road infrastructure improvements on changes in agricultural land in West Koya Village and the land suitability of West Koya Village to the Jayapura City RTRW 2013-2033. This study uses a Mixed Methods approach, namely between quantitative and qualitative approaches. By using multi-year imagery from 2014-2033 to identify land changes. Using a geographic information system (GIS). The results of the research that has been carried out show that changes in agricultural land in the Koya Village occur with a reduction of 69 ha of agricultural land. Road infrastructure improvements affected changes in agricultural land in West Koya Village due to increasing land prices, locking residents to West Koya and rapid infrastructure and economy development in West Koya. The incompatibility of agricultural land in Koya Barat Village with the Jayapura City RTRW occurs with a total of 50 ha of land that is not in accordance with the 2013-2033 Jayapura City RTRW. 

This research aims to explain the influence of discount prices on the intention to purchase ZARA store products in Denpasar City, the influence of self-esteem on the intention to purchase ZARA stores in Denpasar City, the role of self-esteem in moderating the role of discount prices on purchase intentions. This research was conducted in Denpasar City with a sample of 160 respondents who knew about the ZARA brand but had never made a purchase or transaction with a minimum of high school/equivalent education. The data analysis techniques used in this research are descriptive analysis, classical assumption testing and inferential analysis in the form of Moderate Regression Analysis (MRA). The results of this research show that discount prices have a positive and significant effect on the intention to buy products from the ZARA brand, self-esteem has a positive and significant effect on the intention to buy products from the ZARA brand, the interaction of discount prices and self-esteem has a positive and significant effect on the intention to buy ZARA brand products. The theoretical implications of this research can strengthen the relationship with previous research which investigated the relationship between discount prices and self-esteem on purchase intentions. In addition, it was found that self-esteem plays a moderator role that strengthens the influence of discount prices on purchase intentions. Positive and significant practical implications, especially for the ZARA brand. It is hoped that this research will be able to provide additional references regarding achieving profits and increasing sales of products from the ZARA brand, so that it can increase consumers' purchasing intentions to buy and use products from the ZARA brand.

Every company is required to plan the need for goods as effectively as possible in order to maximize profits. Bintang Makmur Building Shop is a building shop that provides building materials, especially cement. Cement is one of the basic materials for buildings. The need for cement has recently continued to increase due to the large number of developments, both housing projects and road construction. In addition to the increasing demand for cement, cement prices also experienced price volatility which tended to fluctuate. This is done so that there is no stockpiling or even a shortage of cement. With prices that tend to go up and down if there is too much stock, it will cause losses if there is a price decrease. Vice versa if there is a shortage of cement stock, it can cause disappointment to customers. To deal with the above, it is necessary to build a prediction system that can predict cement needs in prosperous shops. The system that will be built uses an Artificial Neural Network (Artificial Neural Network) which is part of the science of artificial intelligence which has been widely used to solve various kinds of problems related to prediction or forecasting by utilizing the Backpropagation Method. The system is designed with the MATLAB programming application. From the results of the research that has been carried out, it was found that the total demand for Andalas cement for January of the following year is 0.2532 or 2532, thus the predicted total demand for Andalas cement is 2532 sacks.

This research aims to determine the effect of price on jewelry purchasing decisions at the Amir Syah gold shop, using price as an independent variable and purchasing decisions as the dependent variable. The population used in the research were consumers who made purchases at the Amir Syah gold shop in 2023 and the sample was 84 respondents. The type of research used is quantitative, data collection techniques are observation, documentation and questionnaires. The analysis method for this research uses validity tests, reliability tests, normality tests, heteroscedasticity tests, simple linear regression tests and hypothesis tests. All of these tests were carried out using the SPSS version 25 program. Based on the results of the t test, tcount = 6.579 ttable > 1.664 and the sig value = 0.000 at a significance level of 0.05. So it can be concluded that the hypothesis is accepted, which means that there is a positive and significant influence of price on purchasing decisions because the results of the t test fulfill all of the first conditions, namely tcount > ttable (6.579 > 1.664) and the sig number <005 (0.000<0.05). Based on the coefficient of determination (R2) value of 0.345 or 34.5%. This means that the ups and downs in decisions to purchase jewelry at the Amir Syah gold shop in Panyabungan District due to the influence of prices can be anticipated. Through this regression equation, the remaining 65.5% is influenced by other factors or variables outside this research.    

This study analyzes related to the application of mathematical concepts to the demand and supply function of MSME products in North Pelawi Village, Babalan District, Langkat Regency. The results show that there is an elasticity associated with mathematical concepts for the demand function and the supply function. Usually, because MSME products are hampered by supply chain disruptions and production. However, through recovery strategies and interventions to apply mathematical concepts in the demand and supply functions, a balance curve between the demand and supply functions is formed. Awareness to apply mathematical concepts for business actors has an important role in controlling the rate of supply of goods so that the number of goods demand can be fulfilled according to the number of desires and the prices offered can be adjusted to the prices requested by consumers. This research highlights the importance of awareness and understanding the role of business actors who are aware of the application of mathematical concepts so that regulating demand and supply can run systematically and not damage the market price offered to consumers.