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This literature study aims to introduce the main fundamental analysis and stock valuation methods that daily equity traders apply in choosing stocks for their active equity portfolios. Daily equities traders rely mostly on technical charts and other tools to identify patterns that can suggest potential activity without assessing a stock’s intrinsic value for trading decisions. Chart analysis is designed to find trades with high probability outcomes by establishing precise price targets. The goal of this technical paper is to emphasize the significance of fundamental analysis in the investment choices of daily traders. Fundamental analysis is based on the careful comparisons of a stock’s intrinsic value to the current market price. If the stock’s intrinsic value is higher than the market price, it is reasonable for a fundamental investor/trader to purchase the stock. This paper endorses the idea that using both investment techniques would result in more successful investing decisions for equities traders.

In the cosmetics and facial care market, competition is increasingly competitive. Due to the large number of cosmetic products available in the market, a person's interest in buying something and their decision to make a purchase are influenced. Cosmetics have dangerous side effects for the body because of the chemical content. Researchers chose Wardah products as research targets because Wardah guarantees their quality by using high quality materials, has a halal label, and has halal laws. Wardah is made with natural, high quality and safe ingredients so as to avoid dangerous side effects for the skin and body. The purpose of the study is to ascertain how purchasing decisions are influenced by product quality and price. This study used a quantitative approach as its methodology. The study's findings demonstrate that product quality and price have a favorable and substantial impact on consumers' decisions to buy.

The purchasing decision process involves consumers in deciding to purchase products/services provided by the company. Factors to consider when making a decision include word of mouth, brand image, product price. The aim of the research is to analyze the influence of word of mouth, brand image and product price on purchasing decisions for Indomie Instant Noodles. The sample size was 100 respondents who were identified as coming from students in the Greater Solo area through distributing questionnaires using random sampling. This research uses IBM SPSS Statistics version 25 for data processing. The research results show that especially word of mouth and price have a positive and significant influence on purchasing decisions. However, the significance value > 0.05 proves that brand image does not have a significant influence on purchasing decisions.

The decision on the feasibility of purchasing a share is an indicator or criterion that is considered before finally deciding to invest or invest in the issuer. Researchers conducted technical analysis and fundamental analysis of PT Bank Negara Indonesia, Tbk. (BBNI) shares to find out whether the issuer's shares are suitable as issuers for investing or just for trading. Technical analysis and fundamental analysis are performed to see opportunity whether the shares are worthy of stock investment or not. Technical analysis is carried out using the simple moving average (SMA) and RSI methods. In addition, fundamental analysis is also carried out with several indicators such as price book value (PBV), price earning ratio (PER), debt equity ratio (DER), net probability margin (NPM), and earnings per share (EPS). In this study, the approach taken is a qualitative descriptive approach where data is presented in the form of narratives or detailed elaboration from experts. PT Bank Negara Indonesia (BBNI) shares are the oldest bank stocks that have a large market capitalization. This stock can also be said to have a relatively stable level of price fluctuation with a high level of profit and price. In terms of technical analysis and fundamental analysis, PT Bank Negara Indonesia (BBNI) shares are stocks that deserve to be an investment choice.

This study aims to analyze the comparison of financial ratios in the telecommunications sector listed on the Indonesia Stock Exchange for the period 2020-2022. Financial ratios are financial analysis tools used to evaluate company performance by comparing financial data contained in financial statements. Liquidity ratios, profitability ratios, activity ratios, solvency ratios, and market ratios are types of ratios. This research uses a qualitative method with secondary data on financial statements in the telecommunications sector for the 2020-2022 period. The data can be obtained by visiting the official website of the Indonesia Stock Exchange or visiting the company's website. The samples used were only four companies, namely PT Smartfren Telecom Tbk (FREN), PT Indosat Tbk (ISAT), PT XL Axiata Tbk (EXCL), and PT Telekomunikasi Indonesia Tbk (TLKM) using purposive sampling technique. The results of this study indicate that of the four companies, the ratio of PT Telekomunikasi Indonesia Tbk is superior compared to the other three companies because the company can utilize its cash and assets well, fulfill its obligations both short and long term, manage the company well and efficiently, and generate high profits with a reasonable share price.

 This study aims to analyze the determination of selling prices to increase sales at Sentra Tahu Berkah Jaya. Sentral Tahu Berkah Jaya is one of the businesses engaged in the production of tofu which has been established since 2003 located in Ganjar Agung, West Metro Metro City. The type of research used is case study research with observation and interview methods. The data processed is data in the form of basic price records such as raw material costs, labor costs and factory overhead costs. While the data analysis techniques used in the research are (1) data collection, (2) data reduction, (3) data presentation, (4) conclusion making. The results of the study show that the tofu production process has a major effect on determining the selling price.

This research was conducted with the aim of understanding Consumer Perception of Crispy Anchovy Products from the Fishing Village of Maju Rawa Makmur, Palaran Subdistrict, Samarinda City. The research was carried out in the Fishing Village of Maju Rawa Makmur, Palaran Subdistrict, Samarinda City. The sampling methods used were purposive sampling and accidental sampling with 25 consumers. The data analysis method used was qualitative analysis, which is structured, focused, and specific, yet flexible and subject to change as needed.Based on the research findings, it was found that concerning the taste of crispy anchovies, the majority of consumers (80%) rated it as "quite liked," indicating that most consumers find the taste of crispy anchovies to be quite enjoyable, with only a small portion finding it very delicious. Regarding the color of crispy anchovies, the majority of consumers (84%) rated it as "quite liked," suggesting that most consumers have a positive view of the product's color. As for the packaging of crispy anchovies, the majority of consumers (84%) rated it as "quite liked," showing that most consumers find the product's packaging to be quite good, with a small portion finding it very good. Regarding the price of crispy anchovies, the majority of consumers (76%) rated it as "liked" or even "very liked," indicating that most consumers have a positive view of the product's price. Although there is a small portion that only finds it "quite liked," the satisfaction level with the price appears to be relatively high based on consumer evaluations.    

The impact of climate change increases public awareness and encourages various parties to realize the importance of sustainability in business and building activities. Companies with a sustainable economy are considered better in the eyes of the public and investors. The sustainability report contains information about the company's social, economic, and environmental performance. Information transparency allows investors to better assess investments that will affect stock prices. Ohlson's (1995) model is used in this study, which is based on Bowerman & Sharma's (2016) research. The three disclosures in the sustainability report together influence the company's stock price, however, if analyzed from every aspect of the disclosure, only social performance has a significant negative influence on the stock price. Thus, the first and second hypotheses in this study were accepted, and the third hypothesis was rejected. The disclosure of economic and environmental performance and sustainability reports affects the share prices of manufacturing companies listed on the IDX for the 2020-2022 period. The company is expected to improve the information disclosed and its quality in the sustainability report. This is so that investors and potential investors can make a more in-depth assessment of the performance and sustainability of a company. Investors should consider more information outside of finance to assess the sustainability of the company in the long term so that the decisions taken will be wiser.  

This study aims to analyze the effect of growth, profitability, and dividend policy on the share price of PT. Bank Central Asia Tbk in the 2017-2021 period. The type of data used is secondary data derived from the company's annual report. The sample of this study amounted to 30 samples using the purposive sampling method from 1 company that matched the criteria in 5 periods. Data analysis used using descriptive statistical analysis tests, classical assumption tests, multiple linear regression analysis tests, and hypothesis tests. The results of this study show that the T value of Profitability Growth has a positive and significant effect of 0.005 on the Share Price, the Dividend Policy has a positive and significant effect of 0.005 on the Stock Price. The result of the regression calculation is that the value of the coefficient of determination (R square) is 0.998 or 99.8%. This mean that the influence between the independent variable (X1) and (X2) on the dependent variable (Y) is 99.8%.  

Research objectives: To analyze and know the role of the government in regulating the government's moderate influence on price, facilities, and brand image towards interest in buying electric cars and electricity in the Mebidang Metropolitan City (Medan-Binjai-Deli Serdang). Population from study This is a candidate interested consumers buying car electricity at electricity in the Mebidang Metropolitan City (Medan-Binjai-Deli Serdang). Because the population amount is unknown, the researcher determines the sample size using the Lemeshow formula, which amounts to 384 respondents. Sample determination using purposive sampling, i.e., candidate consumer Already owns a car, income >= 10 million rupiah. Data was obtained with a questionnaire online via Google Forms. Hypotheses are tested using validity test methods, reliability tests, assumption tests classic, regression multiplex, and hypothesis testing with SPSS. Based on the results, Price research matters positively and significant to Purchase Interest, Facilities influential positively and significant to purchase intention, brand image is influential positive and significant to Purchase Intention, Brand Image are influential positive and significant to Purchase Interest, Regulation Government can moderate influence Brand Image against Purchase Interest, Regulation Government No can moderate influence Price to Purchase interest.  

The daily needs of the people of Central Aceh cannot be separated from agricultural commodities such as tomatoes, shallots, garlic, and others. Some of these agricultural commodities have sharp price fluctuations, such as tomatoes. When the supply of tomatoes in the market is reduced, the price can be much higher than the normal price. Conversely, when the supply of tomatoes is excessive, the price will fall far below the normal price. This is influenced by various factors such as the harvest season, the amount of production, the amount of public consumption and others. Based on these problems, we need a method to be able to estimate the price of tomatoes so that it can be used to support decision making related to price issues. Forecasting is one of the solutions to be able to estimate the movement of tomato commodity prices. The method used for forecasting tomato prices is High Order Fuzzy Times Series Multifactors. In this method, subinterval formation is carried out using Fuzzy C–means. To calculate the error rate of forecasting results in this study using the Mean Square Error (MSE). Based on the results of the tests carried out, the large values ​​of the training and order data used in forecasting do not guarantee a low error rate.

One of the major breakthroughs in waste management in Indonesia is the waste bank program. Through this program, it is formed in people's minds that waste is something that is useless and is simply thrown away, converted into something that also has value and price. Through the waste bank, people can save waste, which can then generate money within a certain period of time. This research uses descriptive research methods with quantitative analysis. This study aims to find out how the impact of the waste bank program on the socio-economic community in Sememi Village, Benowo District, Surabaya City. Impact is defined as an influence that brings both positive and negative consequences. Based on the results of data analysis, it was concluded that there was a positive impact on the socio-economic life of the people in Sememi Village, Benowo District after the construction of the Garbage Bank. This is indicated by an increase in people's income, although it is small, it provides significant benefits for the community. Not only income has increased, but health and better social interaction among people, most importantly, a cleaner environment has also increased from time to time.

One of the major breakthroughs in waste management in Indonesia is the waste bank program. Through this program, it is formed in people's minds that waste is something that is useless and is simply thrown away, converted into something that also has value and price. Through the waste bank, people can save waste, which can then generate money within a certain period of time. Research using descriptive research methods with quantitative analysis. This study aims to find out how the impact of the waste bank program on the socio-economic community in Sememi Village, Benowo District, Surabaya City. Impact is defined as an influence that brings both positive and negative consequences. In this case the impact is aimed at the socio-economic life of the community at the Eka Jaya Garbage Bank, Sememi Village, Benowo District, Surabaya City. Based on the results of data analysis, it was concluded that there was a positive impact on the socio-economic life of the people in Sememi Village, Benowo District after the construction of the Garbage Bank. This is indicated by an increase in people's income, although it is small, it provides significant benefits for the community. Not only income has increased, but health and better social interaction among people, most importantly, a cleaner environment has also increased from time to time.

This study aims to determine the effect of Current Ratio, Debt to Asset Ratio, Net Profit Margin and Total Asset Turnover on Stock Price on Construction and Building Sub-Sector Companies Listed on the Indonesia Stock Exchange Period 2018-2022. This type of research is quantitative research. The sampling technique in this research is the purposive sampling technique to obtain as many as 16 samples of companies from 26 companies. This study used secondary data, namely the annual financial statements. The analysis technique uses multiple linear regression analysis using the Statistical Program for Social Science (SPSS) version 25 program. The results showed that net profit margin had an effect on stock price, meanwhile current ratio, debt to asset ratio and total asset turnover had no impact on stock price.

Cost of goods manufactured (COGM) is an important component of making a product, because knowing the COGM of a product can be used as a reference to determine the profit margin of a product. Without knowing the COGM of a product, we will be confused in determining the selling price. The COGM calculation is very influential for the sale of a product whether the product is experiencing a profit or loss. This study aims to determine the COGM calculations that have been carried out by MSMEs are in accordance with COGM accounting calculations or are still only limited to manual calculations. In addition, the main objective of this study is to design an accounting system for determining COGM in the Tempe Chips Industry in determining the cost of production and to apply a variable costing method to determine the cost of goods manufactured in SMEs so that the correct cost of production can be presented. The results of this study indicate that based on Cost of goods manufactured calculations carried out by MSME actors it is still very low so it is necessary to revamp the HPP calculations in accordance with accounting standards. Based on the evaluation of the old system, the author wishes to offer a new system, namely the Information System for Determining the Cost of Production of Tempe Chips SMEs which is expected to be an alternative in solving problems that are being faced by business owners. This new system makes it easy for users related to the process of recording data into the database, so that related parties can easily operate.  

Property price determination is a complex challenge influenced by various factors, thus requiring an effective method for accurate prediction to support investment decision-making. In the current digital era, conventional approaches are being replaced by data-driven and artificial intelligence methods, where Linear Regression remains a popular choice due to its simplicity and effectiveness in modeling linear relationships. This study aims to analyze the relationship between the physical characteristics of a house and its selling price, and to build an accurate predictive model using the Linear Regression algorithm. A quantitative method was used, focusing on Building Area , Number of Rooms, and Building Age  against the House Selling Price. Correlation analysis results show that Building Area has the strongest correlation (0.81) with price, while Building Age shows a negative correlation (-0.52). The Linear Regression model demonstrated very strong and stable performance. The model achieved an R² Score of 0.9396 on the testing data, meaning 93.96% of house price variability can be explained by the model. Furthermore, the low MAE of only 11.31 million rupiah indicates a small prediction error, and the consistency of R² scores confirms that the model does not suffer from overfitting. This study concludes that the Linear Regression model provides excellent, stable, and reliable prediction performance for projecting house selling prices

The strategic marine and fisheries potential of Situbondo Regency includes a high (106.28 tonnes per year) potential for catching sea milkfish (Chanos chanos). The neighborhood makes very little attempts to use processed sea milkfish, nevertheless. Fishermen on the Situbondo coast catch sea milkfish (Chanos chanos), which is only sold fresh and has a poor selling price. Using this chance, Dpore Meme Micro Business turns fresh marine milkfish into shredded fish with a great nutritious value. Because it has a unique flavor, a softer texture, is more fragrant and delectable, and is packed with nutrients, marine milk floss has a potential commercial opportunity and is highly alluring to the general population. There is a need for marketing development, which includes developing online marketing, expanding the marketing area, increasing collaboration with marketing networks or resellers in areas outside the city of Situbondo, as well as optimizing promotions to support product marketing. The current challenge is that the marketing and promotion carried out by the Dpore Meme Micro Enterprise is still offline and on a local scale in the Situbondo Regency area.

A small cassava chip business is a household business that produces snacks made from special cassava snacks. The single most important factor influencing the performance of small businesses in Singapore is their marketing strategy, which takes into account their products, prices, promotions and distribution locations. This research was conducted in the small business community of Bandar Khalipah Village in Percut Sei Tuan district. The purpose of this study was to understand the mix marketing strategies used by the Singapore government. Descriptive qualitative, data collection techniques with notes, and documentation are the methods used for analysis.  Research results 1) the marketing mix strategy used by small businesses in Singapore is a product made with good quality materials, good quantity, has a handle, and is wrapped in plastic. The quoted price is equal to the price. The traditional promotional method still used in Cassava Chips is "lewd mouth to mouth" and "place/distribution channel" is "products marketed slim in the place of production then exist" i.e. "channeled to consumers" through "wholesalers". 2) Product and price are internal determining factors. Externally influenced factors include increased sales during peak hours, while internally influenced factors include sluggish production and promotion locations. External factors that become obstacles include business competitors and seasonal raw materials.

Increasing consumer demand, including in the fashion sector, is directly proportional to the waste generated. Unconsciously, the fashion industry is one of the contributors to global pollution. One of the contributions is with a sustainable fashion. Awareness of environmental sustainability encourages environmentally friendly clothing styles become more popular. Designers are competing to make design collections with sustainable materials, It is the ecoprint fabric motif. Ecoprint means the technique of making motifs on cloth by tracing the leaves and then boiling them. Almost 100% of ecoprint fabrics are made using natural materials that are biodegradable. Creating fabrics with ecoprint motifs requires fabric materials derived from natural fibers, both plant and animal fiber. The dyes used come from nature, including from stems, leaves, flowers, fruit skins which when boiled are able to produce the same colors as chemical substances. The motif from leaves that produce natural colors, arranged in such a way is created kind of motif formation. Experimental methods of various in arranging leaves and flowers will produce unique different styles of motifs. Ecoprint as an alternative to sustainable Indonesian ‘Wastra’ expected will become more popular because of the uniqueness of the motifs, sustainable and the high selling price.

To be able to attract customers companies apply different approaches but when viewed from the factors that influence consumer buying decisions on a product both goods and services the consumer behavior approach system is shown in searching, buying, using, evaluating, and spending products and services that they expect to satisfy their needs, Kanuk & Schiffman (2010). This study aims to determine and analyze the factors that influence customer interest in using logistics services at PT Monang Sianipar Abadi Kargo Semarang. To achieve this goal descriptive research was conducted using the methods of observation, in-depth interviews, literature study, documentation, and questionnaires. The results showed that sales promotion, building relationships with the community, direct marketing, price affordability, price competitiveness, price compatibility with service quality, service in accordance with customer requests, speed of document service and the ease with which customers can obtain information and respond to customer complaints will give a positive impression of each customer has a positive and significant effect on attracting customers to use logistics services at PT. Monang Sianipar Abadi Kargo Semarang.