Good Stock Research Articles

Optimasi Pengendalian Persediaan dengan Metode Reorder Point dalam Pengembangan Aplikasi Kontrol Stok Berbasis Web

Stock control is a process of keeping track of owned items, their location, and their movements in and out of storage. It helps businesses to manage their inventory efficiently and meet consumer demand while reducing the cost of storing goods. However, online shops like Omah Mode often struggle to meet the demand of consumers due to the lack of a stock control system, resulting in penalties from the marketplace. To solve this problem, a web-based stock control application was designed using the reorder point method. This method determines the minimum stock of goods that should be in the warehouse and the right time to order goods with low stock from suppliers. The purpose of this research is to develop an inventory control system that displays the minimum stock of goods needed in the warehouse. The study used the SDLC Prototype method, consisting of needs analysis, prototype making, prototype evaluation, system coding, system testing, system evaluation, and system use. The results showed that the system created has an 85.71% accuracy rate based on a comparison of manual calculations and system calculations of 28 sample items.

Penggunaan System Development Life Cycle (SDLC) Sebagai Sistem Informasi Penjualan Retail

This study aims to solve problems experienced at the Six Store Probolinggo Store where data recording and investigation of sales and purchase transactions still use manual goods receipts. When checking the size or stock of goods for each product when purchasing at offline user sales, the user still has to wait to find out whether stock is still there or not and the high error rate that occurs. The Six Store store needs a way to solve the problems that occur, so the researchers created a system design using the System Development Life Cycle (SDLC) method. This method was chosen because SDLC can measure and improve the sales process more effectively, minimize operational costs and increase revenue throughout the day. While programmers use VB 6.0-based applications and Ms. Access. It can be concluded if there is progress produced by the news system. This proves that regular financial bookkeeping can affect the results of the sale itself. This News System is able to obtain sales reports per note, per item variant, per item and inventory reports in such a short time according to user needs. The results of the application of the Information System show an increase in turnover of 75% every year at the Six Store Probolinggo Store

Implementation of Forecasting Sales of Electronic Goods Using the Semi Average Method at Alex Electronics Store

Alex Electronics Store is one of the Electronics Stores in Kepahiang. So far, the sales system at the Alek Elektronik Store is still done manually where every sale will be made a sales note that will be given to consumers, and then a recapitulation is made at the end of the month how many items are sold at the Alex Elektronik Store. In addition, the shop owner checks regularly by looking at the remaining inventory one by one, if the remaining electronic goods are less than 10, purchases will be made to increase the existing stock. However, this takes quite a long time, and the store only sees the remaining stock of goods at the end of the month, and the large number of items in the store makes it difficult for the store to determine the amount to buy, because it does not see sales data that occurred during the previous few months. 
 Implementation of forecasting sales of electronic goods using the Semi Average Method at the Alex Elektronik Store is used to provide information on the results of forecasting the number of sales of electronic goods in each forecast month based on data analysis of the number of sales of electronic goods for the last 12 months. In this study, a supporting application was built by implementing the Semi Average Method in it so that the forecasting process for sales of electronic goods can be easily used. With this application, it can provide information to the owner of the Alex Electronics Store so that he can manage the availability of electronic goods in the store by looking at the results of the sales forecast of electronic goods in the following year, thus avoiding errors in the management of the availability of electronic goods. Based on testing using the MAPE method, the results of the accuracy of forecasting using MAPE are obtained, it is concluded that the MAPE value obtained is 96.67%..

The impact of corporate reputation on stock value

In the continuous development of the socialist market economy, corporate reputation as an intangible asset provides a unique and sustainable competitive advantage. The study found that in China 's stock market, when companies encounter a crisis, the negative impact on the stock value of companies with good reputation in the short term will be stronger than that of companies with poor reputation. However, in the long run, corporate reputation will have a ' shadow price ' role. It will quickly alleviate the negative impact of the crisis on the stock value of the company and will obtain significantly positive abnormal returns.When enterprises encounter benefits such as listing, good corporate reputation such as China 's time-honored enterprises can succeed in the financial market with good reputation and are favored by investors. Because its reputation can promote the compatibility of management interests and form a good cycle of consciously maintaining reputation, it shows good market performance and stock value.

PERANCANGAN SISTEM PENJUALAN ALAT JAHIT BERBASIS WEB DI TOKO MAKASSAR TIGA PUTRI 2

At this time the development of information has grown very rapidly, therefore there are also many companies or agencies that use information systems to improve their business in order to compete with the offline and online trading world in order to make sales easily and can interact with customers and make it easier for customers to see or choose in advance what they want to find or use, the company must make improvements in business or how to sell their products. The way to improve a company's business is to build a good information system. And the requirement to build a good information system is the speed and accuracy to obtain the information needed by the customer in order to make it easier for the customer to find their needs. Based on the description above, the formulation of the problem in this KP is: A. How is the web-based goods data collection system needed by the customer at MAKASSAR TIGA PUTRI 2 SHOP 2 B. How to make an attractive and easily accessible sales web design for customers at MAKASSAR TIGA PUTRI 2 SHOP - Sales are still on a regular basis manual and offline - Customers are still having trouble finding the name of the goods - Sellers have difficulty controlling the stock of goods that exist or do not exist In the design of this application aims to develop a sales system from this company, which can increase the company's sales. With this application, it is also easier for customers to shop for school equipment needs online, thus saving more time in shopping. This application also needs maintenance every month so that this application runs better. However, this application is designed as well as possible with valid data according to its original state to cover the shortcomings of the application. The application is also designed so that customers have confidence in the convenience offered by the applicationKeywords: Designing a web-based sewing tool sales system using the prototype method

Does the Debt Ratio Mediate the Effect of Liquidity Ratio and Profitability Ratio on Stock Returns?: Empirical Evidence on Wholesale and Retail Trade Sub-Sector Companies on the Indonesia Stock Exchange

This study aims to analyze the mediating effect of the debt ratio on the effect of liquidity and profitability on stock returns. Stock prices and returns are one unit, so that to estimate stock prices and returns can be seen from the company's financial performance, through financial ratios such as liquidity ratios, profitability ratios, and debt or leverage ratios. Companies with good financial performance are expected to have good stock performance. This study used a sample of 31 public companies in the wholesale and retail trade sub-sector which were listed on the Indonesia Stock Exchange in the 2016-2020 period. Sampling of this research was based on purposive sampling technique. The data analysis technique used is tiered linear regression, path analysis, and the Sobel test. The results of this study indicate that the significant liquidity ratio has a negative effect on the debt ratio and the liquidity ratio does not have a significant negative effect on stock returns. The profitability ratio has a significant positive effect on the debt ratio which confirms the trade-off theory. The profitability ratio has a significant positive effect on stock returns, while the debt ratio has a significant negative effect on stock returns. The debt ratio is not significant to mediate the positive negative effect of the liquidity ratio on stock returns. Likewise, the debt ratio is not significant mediating the negative positive effect of profitability ratios on stock returns. The results of this study suggest that investors who expect high stock returns do not need to pay attention to the company's debt ratio, but rather pay attention to the company's liquidity and profitability.

The Effect Of Retained Earnings On Trading Volume Activity (TVA) With Return On Assets As A Moderation Variable

Trading Volume Activity (TVA) indicates the amount of stock trading volume in a company's stock market. Companies with good stock volume and financial performance can increase stock trading volume. The research aims to empirically examine the effect of retained earnings on Trading Volume Activity (TVA) with Return On Assets (ROA) as a moderating variable. The study uses data from the 2018-2020 financial statements of companies in the consumption and construction services sector listed on IDX and analyzed using moderation regression analysis. The results show that the variable retained earnings is simultaneously significant to Trading Volume Activity (TVA) with Return On Assets (ROA) as a moderating variable. Partially retained earnings can significantly influence Trading Volume Activity (TVA), while ROA can moderate the retained earnings variable on Trading Volume Activity (TVA). The research contributes that companies can increase the amount of retained earnings and increase ROA so that trading volume can be increased. The more companies trade, the value-added received will increase

Faktor-Faktor yang Mempengaruhi Harga Saham di Bursa Efek Indonesia pada Perusahaan Trade Service and Investment

Fundamental analysis is an analysis method by looking at the company's financial statements to determine whether the stock to be chosen is a good stock in the future. Financial statements are records of financial information of a company in a certain accounting period that can be used to describe the company's performance or the condition of the company. One of the components in a company's financial statements is EPS, ROA, and ROE. This study aims to determine the effect of EPS (Earnings per Share), ROA (Return on Assets), and ROE (Return on Equity) on stock prices. The population used in this study are Trade Service And Investment companies that are listed on the Indonesia Stock Exchange for 2017 – 2021. The data used is secondary data by taking the sample using a purposive sampling technique, namely how to select a sample based on predetermined criteria and obtain a sample In this research, there were 14 companies during the 2017-2021 period. Methods of data analysis in the form of descriptive analysis, classical assumption test, multiple linear regression analysis, and hypothesis testing. The research results show that EPS (Earnings per Share) has a positive and significant effect on stock prices. ROA (Return on Assets) has a positive and significant effect on stock prices, and ROE (Return on Equity) also has a positive and significant effect on stock prices.

E-Commerceat Haziz Furniture Limited Company Website-Based Digital Marketing

PT. Haziz Mebel is a company engaged in specialized furniture. The problems that occur at PT. Haziz Furniture is in managing branding and buying and selling goods with the aim of increasing company revenue. All activities carried out at PT. Haziz Furniture is still done manually and in receiving goods that are not in accordance with the stock of goods in the warehouse. Therefore, the purpose of this study is to provide a solution to PT Haziz Furniture with a web-based application to promote and buy and sell more systematically. The sales and promotion system that still uses the conventional system makes PT. Haziz Mebel experienced various forms of difficulties in the company's operations. In this study using the Waterfall Method and the results of the research conducted resulted in a web-based furniture e-commerce information system at the Haziz Furniture furniture store. The expected result of this study is that by creating an information system, the manager of the Haziz Furniture company can increase revenue and can reduce miscommunication in company management.

The Development of web-based Cashier and Inventory Information Systems using Prototyping Model on Micro, Small, and Medium Enterprise (MSMEs) in Indonesia

One example of information technology that has been widely applied to the business processes of a business venture is a web-based information system. Micro, Small, and Medium Enterprises (MSMEs) are productive businesses supporting the country's economy and individual companies. One of the MSMEs that will be the object of research this time is MSME Putra Anugrah Sejahtera, and This MSMEs sells premium spray paint for wheels with more than 100 colours. Around 15-20 customers daily make direct transactions at these MSMEs. In the running business processes, there are several obstacles, such as incorrect information when checking the stock of goods and recording sales transactions. This research aims to produce a web-based cashier and inventory information system to minimize errors and simplify sales and inventory transactions. System development using the Prototyping model with RDBMS MySQL was successfully developed. The results testing of systems using the User Acceptance Test (UAT) show that the resulting system follows user needs and answers the obstacles UMKM Putra Anugrah Sejahtera faces.

Prediksi Persediaan Barang Tepat Waktu dengan Menerapkan Algoritma Apriori

he Apriori algorithm is a data mining technique for determining associative rules for a combination of components, this study aims to find the pattern frequency of each component that has been ordered by the customer so that the order is in accordance with the number and timely delivery, therefore to support the problems faced by PT. . SMF for the combination of inventory to purchase of goods, PT SMF applies the Apriori Algorithm to predict stock of goods so that when there is an order, the goods are not lacking and the delivery is also on time. The results of the research carried out obtained the most data on goods produced every 1 month, including the Pipe Bracket and Solenoid Bracket pattern of linkages in terms of predicting the number of goods at PT. If SMF produces Pipe Brackets, it must also produce Selenoid Brackets where the resulting confidence is 60%, Nc : 4, and for the lift ratio test it is 2.307. Whereas if you produce the Selenoid Valve Bracket, you must also produce the air pipe bracket for the resulting confidence of 75%, Nc: 5, and the lift ratio test of 2.272.

Retail Financial Innovation and Stock Market Dynamics: The Case of Target Date Funds

ABSTRACTTarget date funds (TDFs) are designed to provide unsophisticated or inattentive investors with age‐appropriate exposures to different asset classes like stocks and bonds. The rise of TDFs has moved a significant share of retirement investors into macrocontrarian strategies that sell stocks after relatively good stock market performance. This rebalancing drives contrarian flows across equity mutual funds held by TDFs, stabilizing their funding, and reduces stock returns for stocks disproportionately held by these funds when stock market returns are relatively high. Continued growth in TDFs and similar investment products may dampen stock market volatility and increase the transmission of shocks across asset classes.

ПРІОРИТЕТНІ ЗАДАЧІ СМАРТИЗАЦІЇ ШОПІНГУ У ТРАДИЦІЙНОМУ ГІПЕРМАРКЕТІ ЗА ПРИНЦИПАМИ RETAIL 4.0

Retail 4.0 is the newest approach to Industry 4.0-based retail organization. Industry 4.0 involves the industry transformation to the most robotic production, which is controlled by intelligent systems based on cyber-physical devices with usage of Internet of things, cloud information resources, big data processing, and virtual reality. The paper proposes two promising tasks for the implementation of Retail 4.0 technologies in the practices of traditional hypermarkets and supermarkets with low investments. The first task concerns the optimization of the buyer's route, and the second task concerns the optimization of the route of the store employee who completes the online order. It is assumed that the trolleys with RFID-modules and a system of radio frequency identification of the location of devices are available in a supermarket. Task of routine optimization for a buyer with a smart trolley is reduced to a generalized traveling salesman task. The possibility of dynamic adaptation of the route due to changes in the availability of aisles and stock of goods is considered. Three monetization ways of the proposed routine optimization service are proposed. They are based either on direct payment by the buyer for optimal routing service, or indirect payment through increased loyalty or the ability to promote additional products through the recommendation module. Recommendations are provided at hand, i.e. directly in the trading zone near the area of visibility to the recommending product. The second task concerns the optimal completion of online orders by store employees. In addition to the possibility of dynamic adaptation of the route, to save time, it is additionally suggested to complete two similar small orders at the same time. The principles by which it is possible to identify the most similar pairs of orders from the point of view of their picking routes have been formulated.

PERANCANGAN SISTEM MANAJEMEN STOK BARANG BERBASIS WEB PADA PT.X

Goods stock management is a policy or decision of a company that has the goal of determining the company can provide quality inventory of goods such as managing the amount of goods. Basically, stock management is a process in a warehouse where stock availability is influenced by external factors such as orders from buyers and internal factors such as supply of goods. Every company certainly has a stock of goods for sales. If a company has a lot of stock, of course it needs a stock management system that can be accessed anywhere or web-based. By managing web-based inventory management, users can manage inventory on any platform. One of the keys for a company to have an orderly stock of goods is to use a stock management system. The purpose of designing this system is to form a stock management system and maintenance of a company's data. After already having an application system, it will be easier for the user to find out the details of the stock of goods and information related to the goods of companies that are carrying out maintenance and the process of monitoring stock of goods. The data used in the design of this system is detailed stock data for ink companies located in Jakarta. The data used is the company's inventory data for 2020 january to december. The method used is the SDLC waterfall method. In designing the application system, two stages of design are carried out, namely process design and database design. The tests were carried out using the blackbox testing method and focused beta testing through questionnaires to users at PT.X. After testing, suggestions have been given. Applications that have been made should be given a language change feature because currently the application is still in english, so that some employees who cannot speak english will have difficulty understanding this application.

PERANCANGAN DAN PEMBUATAN APLIKASI INVENTORY MANAGEMENT BERBASIS WEB PADA PT. X MENGGUNAKAN METODE EOQ(Economic Order Quantity)

Inventory is an activity that includes goods owned by a company with the intention of being sold within a certain business period, or inventories of goods that are still in construction or production processes, or inventories of raw materials awaiting use in a production process. PT. X is a company whose scope of business includes the distribution of communication equipment, accessories, electronic devices. PT. X itself sells several kinds of electronic products such as printers, cellphones, barcode scanners, computers, and others. Currently PT.X is carrying out data management of PT. X still enters data manually into Microsoft Excel, even reporting data for bookkeeping is still done manually. So it is very ineffective and data can be easily manipulated and if an error occurs in the storage on the device or the device is suddenly damaged, the data that has been collected can be lost. Web-based Inventory Management application at PT. X which will be made later aims to be a system that will assist in recording incoming and outgoing stock of goods. The process of making applications that are made using the waterfall method, with object-oriented design methods using the UML method, and the framework used uses the Laravel PHP framework.

APPLICATION OF FUZZY TIME SERIES WITH FIBONACCI RETRACEMENT FOR FORECASTING STOCK PRICE PT. BANK RAKYAT INDONESIA

Stock can be defined as securities that indicate the ownership of a person or legal entity to the company issuing the shares. Good stocks for long-term investment are stocks that have good fundamentals and large market capitalization. The purpose of investing is to make a profit. In investing in stocks, investors need to know the risk management that can affect the ups and downs of a stock. Forecasting or forecasting is an analysis to predict everything related to the production, supply, demand, and use of technology in an industry or business. One of the forecasting methods is using fuzzy time series. The primary purpose of fuzzy time series is to predict time series data that can widely use on any real-time data, including capital market data. In this study, we will discuss the evolution of the time series model in overcoming fluctuations that often occur in stock prices by using a fuzzy time series that combines a stock analysis approach, namely Fibonacci retracement. The stock data used in this study is the close price of BBRI for October 2021 to March 2022. Forecasting results for 1 April 2022 are IDR 4660.49 with a Mean Absolute Percentage forecasting accuracy value of 1.034%.

The Volatility of Stock Market in Indonesia During Covid-19 Crisis : Evidence from Consumer Goods Industry

This study aims to measure the volatility of stock in consumer goods industry. The analysis in this study utilize index value of consumer goods sectoral stock in 260 days. Using the paired t-test, it was discovered that stock index of consumer goods has significant change after the announcement of Covid-19 first case in Indonesia. The volatility of stock index was raised during the pandemic as measured from its standard deviation. Furthermore, the estimation of GARCH model revealed that consumer goods stock experienced a great volatility during Covid-19 crisis. The value of volatility persistence is 0,917 or close to 1, it means that the volatility was long-lasting as long as the economic crisis. The result of study could give the information for stock investor to be careful with their investment fund during the crisis. Meanwhile, the consumer goods companies can observe this result as consideration in determining the effective strategy in managing the company’s finances in the midst of an economic crisis.

Fundamental Multi-Factor Stock Selection Strategy Research - Taking the Constituents of the Shanghai and Shenzhen 300 Index as an Example

The most important aspect of stock investment is the ability to select good stocks, which can bring investors good excess returns before the market becomes strong and efficient. With the rapid development of computer technology and big data application, the multi-factor stock selection theory in quantitative investment is becoming increasingly sophisticated, and has become a popular and stable stock selection method. Based on the "RiceQuant" quantitative investment analysis platform, this study adjusts the parameters of the profitability factors (return on net assets and gross profit margin) in the fundamental multi-factor stock selection model using data from the constituents of the Shanghai and Shenzhen 300 Index from 2017 to 2020, selects the optimal parameters based on backtesting returns and risk screening, and further optimizes the model by including both profitability factors. These results reflect the screening ability of different profitability factors for stocks and can provide reference for the strategy design of multi-factor models.

The social consequences of inflation in developing countries

AbstractThe title of this article is a riff off a publication of G. C. Harcourt’s 1974 piece, ‘The social consequences of inflation’. He wrote this in a period of the global economy that bears some strong similarities to our own contemporary phase when inflation is suddenly back in the global headlines. There is at least one significant difference: at that time, Harcourt highlighted inflation as the outcome of an excess of total demand in real terms over available supplies of goods and services when the potential workforces and existing stocks of capital goods were fully employed. Current inflationary pressures, by contrast, arise from the combination of specific sectoral supply bottlenecks, rising profit margins in oligopolistic global markets for food and fuel and financial speculation in these markets.

Comparison Fuzzy Time Series Cheng and Ruey Chyn Tsaur Model for Forecasting Sales at Empat Saudara Store

Trading business is a type of business that focuses on buying goods and reselling them with the aim of making a profit without making changes to the condition of the goods being sold. The problem that often occurs at the Empat Saudara Store is excess or deficiency in the stock of goods owned, where consumer demand is high but goods are insufficient and consumer demand is low but goods are available. One effort to overcome these problems is to make stable sales happen by forecasting to find out future sales. Forecasting is an activity that aims to estimate or predict what will happen in the future by using historical data from the past. The research method used is Fuzzy Time Series (FTS) because this method's forecasting system is to capture patterns from past data and then use it to project future data based on linguistic values. FTS models used are FTS Cheng and FTS Ruey Chyn Tsaur. The five-period forecasting results for FTS Cheng are 200,668.2 , 171,761.5 , 222,412.6 , 214,507.4 , 216,294.3 and for the FTS Ruey Chyn Tsaur model are 198,600 , 229,094.2 , 202,203.05, 230,804.80 ,6. With a MAPE value of the FTS Cheng model of 9.904% and a MAPE value of the FTS Ruey Chyn Tsaur model of 14.01%. From the forecasting results it can be concluded that the FTS Cheng model is better than the FTS Ruey Chyn Tsaur model in predicting sales at the Empat Saudara Store.