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The development of value-added corn-based beverages representation an emerging opportunity within the agribusiness sector, particularly for student-led entrepreneurial initiatives seeking to utilize local agricultural resources. This study examines consumer perceptions of Zeagrain corn milk, a sweet-corn-derived drink positioned as a healthy, practical, and affordable alternative within the ready-to-drink market segment. The research aims to identify key attributes influencing consumer interest, evaluate perceived product performance, and assess the potential competitiveness of Zeagrain as a new agribusiness product. Data were collected using an online quantitative survey targeting respondents aged 17–35 years who represent potential urban consumers. The questionnaire measured demographic characteristics, consumption patterns of similar beverages, perceived importance and performance of product attributes, and purchase intention. The findings are expected to provide insights into consumer expectations regarding taste, packaging, nutritional value, and price. The results further serve as empirical input for improving product development strategies and enhancing the market readiness of Zeagrain. Ultimately, this study contributes to strengthening the commercialization prospects of corn-based beverages and supports innovation efforts among young agripreneurs seeking to optimize local commodities.

This study aims to analyze the Effect of Return on Equity (ROE), Total Asset Turnover (TATO), Net Profit Margin (NPM) on Stock Prices in food and beverage companies listed on the Indonesia Stock Exchange for the 2020-2024 period. The approach in this study is to use a quantitative approach, and based on the objectives, this type of research is causal. The independent variables in this study include Return on Equity (ROE), Total Asset Turnover (TATO), and Net Profit Margin (NPM) and the dependent variable in this study is Stock Price. The population in this study is food and beverage companies listed on the Indonesia Stock Exchange, totaling 27 companies for the 2020-2024 period. This study uses the Purposive Sampling method, selecting 18 companies multiplied by 5 periods, resulting in a sample size of 90 samples in this study. This study uses descriptive statistical analysis using secondary data with descriptive statistical tests. Continued with the classical assumption test using the multiple regression model hypothesis testing method. This study uses panel data regression tool analysis with the help of SPSS 26 application tools. The results of the study show that: (a) Return on equity (ROE) has a positive effect on share prices, (b) Total Asset Turnover (TATO) does not have an effect on share prices, (c) Net Profit Margin (NPM) has a positive effect on share prices.

The purpose of this research is to analyze and find out how the company's growth, capital structure and company size affect stock prices in sub-sector, ceramics, porcelain and glass companies listed on the IDX for the 2018-2023 period. This research is an associative quantitative research using secondary data taken from the company's annual financial statements. The sampling technique in this study uses purposive sampling. In this study, 48 samples were obtained for 6 years (20182023). The analysis tool used in the regression analysis of panel data was conducted using E-views 13. Based on the research that has been carried out, it can be concluded that the company's growth partially has a significant effect on the stock price, the company's capital structure and size partially do not have a significant effect on the stock price. Then  the company's growth, capital structure and company size simultaneously have a significant effect on the stock price of companies in the ceramics, porcelain and glass sub-sector listed on the IDX for the 2018-2023 period.

Rapid developments in information technology have made laptops an essential device for students, especially those in their final year of study. Choosing the right laptop plays an important role in supporting academic productivity, such as writing theses, analyzing data, and developing software. This study aims to classify the preferences of mathematics students at Gorontalo State University in choosing laptops based on usage characteristics and factors that influence purchasing decisions. The method used is Kernel Discriminant Analysis (KDA) with a Gaussian kernel function and an optimal bandwidth of 0.8. The research data involved 268 respondents divided into training and testing data. The analysis results show that the KDA model has an accuracy rate of 60% on the training data and 52% on the testing data, which indicates the model's ability to recognize student preference patterns despite a decrease in accuracy on new data. Based on the kernel density estimation results, Acer is the most widely used laptop brand, while Zyrex and Apple are rarely chosen. The most influential factor in purchasing decisions is processor specifications, with a contribution of 35.739%, followed by brand, warranty, and price. These findings indicate that hardware characteristics are the main consideration in laptop selection, with most students choosing laptops with Intel Core i5 processors, a minimum of 8GB of RAM, and SSD storage. The results of this study can also be used by universities to provide recommendations for selecting laptops that suit students' academic needs.

Subcontractor selection is a crucial factor in determining the success of a construction project. The selected subcontractor not only plays a role in expediting the completion of the work but also influences the overall quality, cost, and timeliness of the project. Mistakes in decision-making, such as selecting a less competent subcontractor, can result in delays in completion, increased project costs, and even decreased construction quality. Therefore, a systematic, measurable, and objective method is needed to support the subcontractor selection process. This study aims to implement the Analytical Hierarchy Process (AHP) method as an approach in a decision support system for subcontractor selection. AHP was chosen because it can decompose complex problems into simpler structures by determining criteria weights and comparing alternatives. The criteria used in this study include expertise, work experience, timeliness of work, equipment availability, and bid price. By assigning weights to each criterion, the selection process can be carried out more transparently and measurably. The case study was conducted at PT. Tatha Group, a company engaged in the construction services sector. In this study, AHP was used to prioritize alternative subcontractors to be selected to assist in project implementation. The research results show that the AHP method produces clear, structured results and supports more accurate decision-making. Thus, the application of AHP not only minimizes subjectivity in assessments but also provides accountable recommendations for selecting the best subcontractor for the project's needs.

This study aims to test the influence of liquidity as measured by the Current Ratio and Solvency as measured by Debt to Equity Ratio  and Profitability with Return On Equity proxy on Stock Price. The data used is secondary data from the Annual Report. The sample used in this study was 15 companies in the Food and Beverage subsector. listed on the Indonesia Stock Exchange that meets the requirements for use in research with a period of 20 20 to 2023 ( 4 years), so that the data observed is 60. This study uses a quantitative method with SPSS analysis tools . The findings of this study indicate that Liquidity has a positive effect on stock prices. Solvability and profitability partially do not affect stock prices.  

The reserchaims to examine the impact of product quality and price on customer satisfaction with The Originote skincare products. The research is motivated by the growing public awareness of skincare and the increasing interest in local skincare brands, particularly The Originote. The data is a questionnaire using a quantitative approach with a descriptive method. This research uses multiple linear regression analysis was employed to assess the variables. The findings reveal that product quality has a positive significant effect on customer satisfaction, where significance probability value of 0.000, which is less than 0.05. Consumers tend to prefer high-quality products as they offer a sense of security, comfort, and benefits that meet ex-pectations. However, price does not significantly, with a significance probability value of 0.534, which is greater than 0.05. This indicates that consumers prioritize product quality and ingredients over price. The study's implications highlight the need for companies to focus on maintaining and improving product quality to ensure and enhance customer satisfaction.

This research aims to analyze buyer behavior towards skincare products, with a focus on factors that influence purchasing decisions, product preferences, the influence of social media, and promotional strategies. This study uses a quantitative approach with survey methods to collect data from respondents regarding habits, preferences and external influences in purchasing skin care products. Data analysis techniques are carried out descriptively to identify trends and patterns of consumer behavior. The research results show that product quality is the main factor in decisions (91.3%), followed by needs and price. TikTok emerged as the top platform for seeking information (77.9%), while influencer reviews had a significant influence with 91.3% of respondents considering them before purchasing a product. The majority of consumers prefer local products (60.6%) compared to imports. Additionally, promotional strategies such as discounts and cashback proved effective in attracting attention, with 93.3% of respondents expressing interest in the offer. This research concludes that skincare buyer behavior is influenced by a combination of rational and emotional factors, which are strengthened by the influence of social media and promotions. These findings provide insight for producers in designing marketing strategies that are more effective and in line with consumer needs.

When making investment decisions, it is crucial for investors to consider various risks that may arise, both in the short and long term. One method to measure risk is through volatility. Volatility represents a statistical measurement of the degree of price variation over a specific period, expressed as volatility (σ) (Aklimawati & Wahyudi, 2013). This study aims to discuss the pricing of European option contracts using Conditional Monte Carlo simulation and the Black-Scholes method. The data used in this study is secondary data obtained from Yahoo Finance. The data consists of quantitative information, namely the monthly closing prices of Toyota Motor Corporation (TM) stock, spanning 5 years from July 1, 2019, to July 1, 2024, yielding 60 data points. In this research, the pricing of European call option contracts was calculated using Conditional Monte Carlo simulation and the Black-Scholes method. The study concludes that European option contract pricing can be determined using two methods: Conditional Monte Carlo simulation and the Black-Scholes method. Conditional Monte Carlo simulation can be employed to calculate European option prices in a structured manner, utilizing stochastic volatility estimated through the Ordinary Least Squares (OLS) method. The two methods yield differing option prices; Conditional Monte Carlo simulation produces lower option price estimates with relatively lower error values compared to the Black-Scholes method at every strike price. The lower estimates from Conditional Monte Carlo simulation are due to its consideration of stochastic changes in volatility, whereas the Black-Scholes method results in higher prices due to its assumption of constant volatility. The comparison demonstrates that Conditional Monte Carlo simulation provides cheaper price estimates under market conditions with non-constant volatility, despite requiring higher computational time compared to the Black-Scholes method.   ,

The study aims to measure the information content of the accounting profits of banks listed on the Iraqi Stock Exchange, as the sample included 10 banks for a period of 4 years (2016-2019). The study concluded that banks that have a high explanatory ability reflect greater stability in the stock price, which would reassure Investors and stakeholders, thus reducing dispersion and fluctuations in the stock price, while banks with weak explanatory power show higher volatility in the stock price, which indicates additional risks that increase the fluctuation in investor returns, and the influencing factors have a major role in enhancing or reducing the information content of profits. Which explains the discrepancy between banks, and the study recommended the need to enhance the quality of financial disclosure, especially banks with weak explanatory capacity, increase transparency, and work to enhance the informational content of profits, which in turn increases investors’ confidence in accounting information, as well as encouraging banks to strengthen their internal control systems, which helps in Reducing accounting errors and the accuracy of declared profits, thus stabilizing the share price. Strengthening the administrative capabilities of executive managers contributes significantly to enhancing the informational content of profits by allocating the company’s available resources efficiently and effectively.

The growth of the internet has influenced the tourism industry because the internet makes it easier for individuals to obtain reviews about places to visit and because the internet is a tool used by tourist site managers to assess the quality of their offerings. The increase in the number of tourists of almost two million in just three years in West Sumba is proof of this influence. Social media is a tool that people use to interact with each other online; some people have multiple accounts on platforms such as Instagram, WhatsApp, Facebook, Telegram, Twitter, and so on. Tourists can receive recommendations for tourist attractions based on price and type of trip desired through a tourist attraction recommendation system that uses the KNN algorithm. Three factors were used in this research: activity, type of tourism, and type of price. An accuracy of 63.16% is found in the test results using the KNN algorithm and the Rapid Miner application with a K value of 5. The analysis results show that the K-Nearest Neighbor (K-NN) approach can be used as a guideline for recommending tourist destinations to visitors in West Sumba.

Tilapia (Oreochromis niloticus) is a freshwater fish that is in great demand by the public because it has a thick meat texture and an affordable price. The problems faced in aquaculture activities are the high cost of feed and the length of cultivation time. Feed is a vital component in aquaculture activities, therefore feed efficiency is needed to minimize production costs. The addition of fermented moringa leaf extract in pellets is expected to accelerate the growth period. This study aims to determine the effect of the addition of fermented moringa leaf extract on tilapia growth rate. This study used a complete randomized design (CRD) method with 4 treatments, namely the addition of moringa leaf extract to pellets with concentrations of 0%, 25%, 30%, 35%. The treatment was carried out for 28 days. Parameters observed in this study were fish growth including fish length, fish weight, survival rate (SR), food conversion rate (FCR) and water quality in the form of temperature, pH and DO. The data were analyzed using anova and SPSS application. The results showed that the addition of fermented moringa leaf extract with concentrations of 0%, 25%, 30% and 35% in tilapia (Oreochromis niloticus) feed for 28 days had a significant effect on tilapia growth.  

In the rapid development of the food and beverage industry, overproduction and unsold food have led to a high amount of food waste, making Indonesia one of the largest food waste producers in the world. Data from the Central Bureau of Statistics (BPS) in 2021 shows that Indonesia produces 23-40 million tons of food waste annually, which negatively impacts the environment, natural resources, and the economy. This research aims to create a website that serves as a platform for selling leftover food to reduce food waste issues in Indonesia. The method used in designing this website is the Design Thinking method, which consists of five stages: Empathize, Define, Ideate, Prototype, and Test. Data for this method is collected through surveys and interviews with respondents. By creating this website, it is hoped to connect food business operators, such as restaurants, cafes, and bakeries, with consumers, allowing them to interact and providing an effective solution to reduce food waste in Indonesia. Additionally, it is expected that this website can minimize the waste of still-edible food for everyone. By ordering through this online platform, customers can get food at half the normal price.

Inappropriate complementary food given by parents to children under two years old is one of the causes of nutritional problems in children. There are still many parents who have insufficient knowledge about complementary foods and do not know the important ingredients that must be in them. The aim of this research is to explore various experiences of parents in providing MPASI Shredded Monas Perst to toddlers. Therefore, the solution to overcome this problem is to provide the right complementary food, namely Abon Monas Prest with a high content of protein and other micronutrients at a more affordable price. This study used qualitative with phenomenology approach. The population was 12 participants selected using purposive sampling technique, and obtained sample as many as 9 participants. The data analysis used Miles and Huberman model. The themes obtained were, 1) Parents feeling when giving complementary food, Abon Monas Prest for the first time, 2) Increased appetite in children under two years of age, 3) Supportive response from family members in providing complementary food, Abon Monas Prest. Giving complementary food, Abon Monas Prest can give parental knowledge​ about giving the right complementary food for overcome nutritional problems​ with increase lust feeding to children age under two year. Besides that, support member family is also important given to Mother child in giving right complementary food.

Based on interviews and analysis, the management of Super Chicken Noodle Eatery conducts comprehensive production cost calculations in determining the selling price. They consider various factors, including raw material costs, labor costs, and factory overhead costs. Additionally, they also take into account external market conditions, such as competitor prices, the level of competition, and consumer preferences. By considering these various factors, the management strives to establish competitive selling prices in the market. However, they face several challenges in the pricing process. One of the main challenges is the unstable fluctuations in raw material prices, which can significantly impact production costs. Additionally, the high level of competition in the local market is also a factor to be considered. Furthermore, the management also struggles with adjusting prices to changes in consumer preferences. Another challenge faced is the increasing factory overhead costs that tend to rise over time. This demands careful and flexible analysis from the management in determining selling prices that remain competitive in the market. Through a comprehensive approach in calculating production costs and considering external factors, the management of Super Chicken Noodle Eatery strives to achieve competitive selling prices in the market while still maintaining profitability.

Indonesia is known as an agricultural country, making the agricultural sector very important with the commodity most widely cultivated by the public being rice. Karangsemanding Village is a village that has extensive agricultural land but has a small productivity value compared to other villages. This research aims to determine the factors that influence the production of lowland rice farming and determine the efficiency of lowland rice farming in Menganti Hamlet. The research was conducted in Menganti Hamlet in June-September 2023. Data collection was carried out through interviews and questionnaires as well as secondary data obtained. The sampling technique was saturated sampling which involved all members of the population sampled as many as 86 farmers. Data were analyzed descriptively and in multiple linear regression analysis with the help of SPSS software. The research results show that production factors in the form of land area, seeds, fertilizer, pesticides and labor simultaneously influence rice production, while partially the variables of land area, pesticides and labor have a significant influence on production. The results of the technical efficiency analysis show a value of 0.8894 which is said to be efficient in the use of production factors because it is close to 1. Judging from the price efficiency (allocative) of lowland rice farming, it shows a value of 0.0416, this shows that lowland rice farming in Menganti Hamlet is not yet efficient economically. price. Meanwhile, the economic efficiency of lowland rice farming shows a value of 0.0370, which means lowland rice farming is economically inefficient..    

This study aims to analyze how much influence DER and ROA simultaneously and partially have on the Share Price of the Mustika Ratu Tbk company listed on the Indonesia Stock Exchange from 2015 to 2021. The F test shows that company performance measured by DER and ROA has no significant effect on Stock Price. The t test concluded that the DER variable had no significant effect on the stock price, but the ROA variable had a significant effect on the stock price. Based on the coefficient of determination test, the independent variable affects the dependent variable by 60.9% and there are still 39.1% explained by other factors not included in the study.

This research creates a technique of making paper bones in 3-dimension makeup character using materials that easy to find and affordable price. The methods used are literature, experiment, documentation, interview, questionnaire, and public test. Based on the results of feasibility tests of paper bone’s technique assessed by 6 validators on indicators of application effectiveness declared feasible, time efficiency indicators declared feasible, cost indicators declared very feasible, indicators of ease of discovery of materials declared very feasible. Based on the results of the feasibility test, the appearance of the effects of torn wounds using bones from paper assessed by 6 validators on indicators of wound composition was declared feasible, indicators of color combinations were declared feasible, indicators of similarity to the original wound were declared feasible, and indicators of detail were declared feasible. The results of the public test were conducted by 81 respondents. 96.3% said the wound effect similar to the original one. 100% said this technique affordable. 97.5% said this technique can be an alternative for 3-dimension makeup character cosmetic. 98.8% said this technique is easy to use by beginners. 100% said the ingredients are easy to find. 100% said paper bone can support zombie’s character appearance. 97.5% said interest with this technique. 98.8% said they like this technique. So can be concluded, this technique is worth to apply in 3-dimensional makeup character.

This research applies the Monte Carlo simulation method to predict the movement of Apple Inc.'s stock price over a long period of time. Using historical data of Apple's stock price from 12 December 1980 to 24 March 2022, this study aims to generate a probability distribution of the future stock price. The method involves several steps, including data collection, log return calculation, parameter estimation, and simulation of the stock price path through random iterations based on the log return distribution. The simulation results show that the closing price of Apple stock can be predicted by following the historical trend, although there are differences with the real data due to the stochastic nature of the Monte Carlo technique. This research also applies a variance reduction method to improve simulation efficiency. The findings provide a valuable perspective for investors and financial analysts in identifying investment risks and opportunities through an in-depth understanding of the dynamics of stock price movements using Monte Carlo simulation. Suggestions for future research include the use of VaR methods with historical variance and covariance approaches, as well as considering longer data periods and more stock indices for more comprehensive results.

This research aims to analyze the factors that influence the decision to purchase purebred chicken eggs at Pasar Anyar, Bogor City, with a focus on age, distance, income, price of purebred chicken eggs, education and employment. The method used is a survey using a questionnaire as a tool for collecting primary data. The research sample consisted of 80 consumers who bought purebred chicken eggs at Pasar Anyar, Bogor City. The results of multiple linear regression analysis show that only distance, income and price significantly influence consumer behavior in purchasing purebred chicken eggs, where for every 1 unit increase in distance, the purchase of purebred chicken eggs decreases on average by 0.289%, for every increase in income. by 1 unit, the purchase of purebred chicken eggs increases by an average of 0.902%, and for every 1 unit price increase, the purchase of purebred chicken eggs decreases by an average of 13.710%. Other factors such as age, education, and employment did not have a significant impact. This emphasizes the important role of distance, income, price in shaping consumer decisions. This study provides insight for the purebred chicken egg industry to design more effective marketing strategies, by segmenting the market based on distance, income and price.