Good Stock Research Articles

Design of Web-Based Inventory Accounting Information System at PT XYZ

PT XYZ is a company engaged in the retail trade of large and small clothing, and it is located in the city of Bandung. As a trading company, PT XYZ needs to utilize information technology in managing warehouse inventory, which is no longer manual management, namely recording in paper media, which will be susceptible to data discrepancies. The web application here is interpreted as an inventory application through a display that includes goods to be stored in the warehouse and product transactions that come in and out. The research method used here is the interview and observation method. Software creation is carried out with a waterfall model consisting of the following stages: system planning analysis, system analysis, design, implementation, and maintenance. In the object of system modeling with visual data flow diagrams and flowcharts. The results of this study produce web-based software using PHP as a programming language with MySQL as a database and visual code for its program editor. Through this system, it is expected to facilitate work and can be used at any time. This inventory application can be a benchmark for managing incoming and outgoing goods. Another benefit is that this web-based application aims to control the stock of goods at any time.

Numerical methods for optimizing logistics systems in the process of inventory management

Scientists have always faced the task of evaluating the effectiveness of the functioning of complex systems, which unambiguously include logistics systems of transport (water, air, rail, automobile and their combinations) and stocks of products (goods), which (stocks of goods) are in static (warehouses) and dynamic (transport) states over time. A huge amount of theoretical material has been accumulated in this field of knowledge, which has been repeatedly tested and successfully applied, especially in relation to logistics systems. However, as is known, on the basis of an efficiency assessment, similar systems are compared, the operation of the systems is promptly evaluated, the system's compliance with its purpose is checked, the presence or absence of targeted targeting is found out, etc. Hence, the relevance of the mathematical apparatus (numerical methods) for optimizing stocks of products (goods) is determined as a calculation for reasoned decision-making on effective inventory management using transport and storage capacities on an economic basis: the objective function is to minimize costs. Cost reduction in the processes of functioning of logistics systems due to the action of two basic laws – the law of saving time and the law of conservation of energy is one of the main modern directions for increasing their efficiency as complex systems [1-5]. Therefore, the optimization of logistics systems according to the criterion of costs (losses) in the processes of their functioning is defined as the formulation of the research task. The aim of the work is to develop the application of numerical methods for optimizing logistics systems in the process of inventory management. The novelty consists in the application of numerical methods and the calculated ratios obtained, which can be used in the practice of the logistics system of water, air, rail and road transport for inventory management by optimizing the determined losses (costs). The result consists in the developed method of studying theoretically calculated losses occurring in the processes of functioning of logistics systems of all types of transport and their combinations (hereinafter transport). The theoretical significance of the results obtained is the development of the application of numerical methods for optimizing logistics systems in the process of inventory management, including: a set of factors and criteria for optimizing logistics processes; a method for modeling and optimizing the processes of functioning of logistics transport systems; a method for analyzing losses in the processes of functioning of logistics transport systems. These theoretical provisions make it possible to optimize the processes of functioning of logistics transport systems and, ultimately, to increase the efficiency of providing consumers, which is of important socio-economic importance.

HEPATOPROTECTIVE EFFECT OF GOLDEN VOLODUSHKA (BUPLEURUM AUREUM L.) HERB EXTRACT OF DRY IN EXPERIMENTAL TOXIC HEPATITIS IN RATS

Introduction. The search for new medicines, including those of plant origin, for the treatment of diseases of the hepatobiliary system is relevant and timely. A promising source for the development of hepatoprotective drugs is golden volodushka (Bupleurum aureum L.). To date, a large evidence base has been accumulated for the biochemical study of this plant, its pharmacological activity has been scien-tifically proven. Good stocks of golden volodushka in the wild, the simplicity of its harvesting and the possibility of cultivation were noted. The VILAR State Medical University has developed a method for obtaining volodushka golden herb extract of dry. Aim. The study of the pharmacotherapeutic efficacy of volodushka golden (Bupleurum aureum L.) herb extract of dry in case of liver damage under experimental conditions. Material and methods. In the studies, white non-linear male rats with a body weight of 180-200 g were used. Volodushka extract was studied at doses of 50 and 100 mg/kg. The comparison drug was silimar at a dose of 100 mg/kg. Experimental CCl4 – induced hepatitis in rats was caused by a single subcutaneous injection of 50% carbon tetrachloride oil solution one hour after the last administration of the studied extract and the comparison drug. After 48 hours, blood was taken from the tail vein of rats, serum was obtained and its biochemical analysis was carried out. Next, the rats eu-thanized in a CO2 chamber and the liver extracted for pathophysiological evaluation. Tetracycline hepatitis was caused by intragastric administration of tetracycline to animals at a dose of 500 mg/kg. Then, after 48 hours, blood was taken from the animals, serum was obtained and its biochemical analysis was carried out. Results. Volodushka golden grass dry extract on a model of carbon tetrachloride hepatitis exhibits a hepatoprotective effect, which is confirmed by a comparative pathophysiological study and a study of the activity of enzyme markers of the morphofunctional state of the liver in rat blood serum. In the tetracycline hepatitis model, the studied extract also has a hepatoprotective effect, which is confirmed by biochemical studies. Conclusions. Studies of volodushka extract in conditions of experimental liver lesions have shown that the studied extract in experimental therapeutic doses has a pronounced hepatoprotective effect and is promising for the creation of a herbal medicine for the prevention and treatment of diseases of the digestive system.

Rancangan Sistem Informasi Penjualan Furniture pada Toko Mebel Pondok Baru Berbasis Web

Pondok Baru Furniture Store located in Makamhaji Kartasura is a business that operates in the field of manufacturing and selling furniture. There are problems in managing sales transaction data, stock of goods, and sales reports which still use manual methods, sometimes resulting in errors in recording. The current purchasing system which requires coming to the shop to see and buy the products being sold is very troublesome. And consumers want to know about the products being sold without having to come to the shop directly. Therefore, researchers created a web-based sales information system to overcome this problem. The method used in system development is the prototype method with data collection through interviews. The result is a web sales information system design that makes it easier for buyers to access products offered anywhere and carry out purchase transactions online. This system design is expected to produce more accurate data in processing sales data and sales reports.

Pilot study of three novel implants–GSK triangular system, locking hip screw and controlled sliding dynamic hip screw, for fixation of fracture of the neck of femur

Background and objectiveIntra capsular fracture of the neck of femur (FNF) treated traditionally with a dynamic hip screw (DHS) or three cancellous screws (3CS) has a high incidence of complications with reoperation rates between 20 % and 45 %. We hypothesized that FNF unites by primary healing. Therefore, intra-operative compression and absolute stability post-operatively until healing are essential. We postulated that FNF requires 2 types of implants- those which provide absolute stability for young patients with good bone stock and another with sliding mechanism for elderly patients with osteoporosis. We developed three novel fixation systems at our research institute in India using a modified DHS. In patients with good bone stock, locking DHS, called LHS and GSK triangular system (GSKT) provided intra-operative compression and absolute stability during the post-operative period. In those with poor bone stock, the controlled sliding DHS (CSDHS)was used as a locking implant might penetrate the hip joint. Materials and method42 patients of FNF <55 years of age were studied. Among 39 patients with good bone stock, LHS was used in five patients and GSKT system was used in 34 patients. CSDHS was used in three patients with poor bone stock or communition. The patients were followed up for a minimum of eight months up to a maximum of two years, with the average follow up duration of 14 months. Results32 out of 34 fractures treated by GSKT system united. Five cases managed by LHS and three by CSDHS, all united. The union rate was 95.2 %. Of the two failed cases, one patient had nonunion (NU), the other had deep infection. Avascular necrosis of the head (AVN) was detected in three patients treated with GSKT system in the second year following surgery. Two of them had hip pain while one was asymptomatic. Eight cases of FNF Pauwels type III underwent a primary valgus osteotomy. All of them united without complications. ConclusionIn patients with good bone stock, LHS and GSKT system allowed intra-operative compression and absolute post-operative stability without sliding of head fragment as the triangle construct is biomechanically the strongest. When bones are osteoporotic, a CSDHS provided controlled sliding (1 to 5 mm only). This pilot study showed a promising success rate of 95.2 %. We propose that the GSKT system may be used to treat intertrochanteric and other metaphyseal fractures as well. Further biomechanical studies are underway to strenghten the evidence needed for the widespread use of these implants.

Optimisation of Inventory Management Through Time Series Analysis of Inventory Data with Double Exponential Smoothing Method

Stock forecasting is very useful for companies in knowing the trend of inventory needed in the next period, with time series data often forecasting can be a solution in supporting decision making. Excess or lack of stock of goods is often caused by a less than optimal record management process and often relies on personal intuition. In this study, the Double Exponential Smoothing method is applied in analyzing time series data and forecasting stock data. This method is used because it is in accordance with the company's sales data which is up and down. In addition, this forecasting calculation does not escape the error rate of forecasting calculations, therefore this system is also supported by the MAD (Mean Absolute Deviation), MSE (Mean Square Error) and MAPE (Mean Absolute Percentage) methods to calculate the error rate of the forecasting results. The forecasting results show that this method is able to provide fairly accurate predictions with a MAD value of 5.2475, MSE of 43.009, and MAPE of 26.307%. By using DES, companies can perform better stock planning, reduce the risk of over- or under-stocking, and improve inventory management efficiency. The DES method is proven to be flexible and easy to implement in computerized information systems, so it is recommended to be used more widely in corporate inventory management.

Association Relationship Analysis in Finding Sales of Goods With Apriori Algorithm

Technology can be designed to help human life from all aspects ranging from agriculture, health science, industry and daily life. Toko Intan, a business engaged in the sale of basic and daily necessities. Every day, Toko Intan records every sales transaction in an archive stored in Microsoft Excel, containing data on goods sold every day. The purpose of this research is to find out what items are bought simultaneously by consumers to manage inventory, with the data mining method used in this research is the Association Rules method. Association Rules is one of the data mining techniques from the a priori algorithm which functions to find a combination pattern of an item. Tests carried out to process data in this study using the RapidMiner application, from tests carried out with the specified parameters, namely minimum support 30% and minimum confidence 65%, resulted in a lift ratio validation rule of 1.206. Personal Care Biscuits with 30.8% support and 90.9% confidence with a validation lift ratio of 1.206. Sales transaction data analysis can be applied well, and is able to generate a new association rule from the sales transaction dataset. With this research, it is hoped that it can provide information to the owner of the Intan store in providing the stock of goods needed by consumers and to find out the combination of item sets from the sales transaction dataset.

Comparison of Commercial Investment Value in the Food Industry

This article aims to provide investment advice to investors by comparing and analyzing four representative companies in the food industry. This article can help investors choose the most suitable stocks and gain more benefits. This article identified four representative companies and conducted data organization and financial analysis on them. Based on the results, the most suitable companies for investors to invest in were identified, along with their corresponding advantages and risks. This article analyzes and calculates the data released by the four major companies, and concludes that Starbucks (SBUX) is the most suitable stock for investors to choose because it has high investment returns and low investment risks. And the other three companies will all have some flaws to some extent. This article provides a method of analyzing data to find the most suitable stocks for investment, which can help investors make decisions, it can also help investors have the ability to distinguish between good and bad stocks themselves.

CEO stock option pay and risk‐taking investment in the hospitality industry: The moderating effects of situational factors

AbstractBased upon behavioral perspective and agency theory, this paper attempts to investigate the effect of CEO stock option pay on firms' risk‐taking investments in the restaurant sector. Specifically, this paper proposes that option‐loaded CEOs tend to make risky investments. In addition, we investigate how the prior stock performance of a firm and its CEOs' characteristics moderate this relationship. The findings of this paper show that option‐loaded CEOs are more likely to engage in risk‐taking investments. However, this positive main relationship is diminished when a firm has a good prior stock performance, when a CEO has a longer tenure, and when he or she becomes aged. Given the lack of empirical literature that explores the corporate governance in the hospitality literature, this study adds value to the existing research by further investigating the effect of CEO stock option pay scheme on restaurant firms' risk‐taking behavior.

Android-Based Application Design for Goods Inventory System Using the Barcode Scan Method

Stock information system is one of the important systems in a company. This system serves to manage and control the stock of goods in the company. One technology that can improve the efficiency and effectiveness of stock information systems is barcodes. Barcodes are two-dimensional matrix codes that can store large amounts of information. This research aims to design and build a stock information system using Android-based barcodes. The system is built using PHP and MySQL programming languages. The results of the study show that the stock information system using Android-based barcodes can increase the efficiency and effectiveness of stock management. Barcodes can be scanned using a tool that emits infrared light and is reflected by black and white lines on the barcode. This information is then decoded by sensors in the scanner and converted into numeric and letter codes. The data obtained will be submitted to a computer device or other system for further processing, such as recording transactions. This system can be used to reduce time and costs in managing stock.

Pengembangan Proyek Sistem Informasi Penjualan Laptop Berbasis Web pada Bless Computer

With the use of information technology today, business actors in managing their business utilize technology with marketing media that are currently many such as online stores that can market their products widely so that sales increase. Bless Computer is one of the stores that sells laptops, computers, and various computer accessories. In its business practice, the store has not utilized online media in all aspects of the store. The current store sales system is desktop-based and the stock of goods in the store is still manual so an information system is needed for online and offline business processes. From the problems studied, the author concludes to create a web-based sales system that is applied with PHP programming language and MySQL database. The design of this system is also supported by a software development method known as the Software Development Life Cycle (SDLC) waterfall model to facilitate the planning process, stages of making, and testing of the system created. The results of the research obtained are the Bless Computer store laptop sales website which is made as attractive as possible and contains information about the Bless Computer store so that it is easily known by many people to purchase laptops and accessories more easily to increase sales.

Sistem Informasi Point of Sales Berbasis Web di Perusahaan Bangunan Andalas Jaya

Andalas Jaya building company is engaged in the sale of building goods or materials and transactions carried out every day are quite large, in their activities of course they require an accurate information system to make it easier to make sales transactions and record stock of goods. Making this sales and purchase information system using the Visual Studio Code program and for the database using MySQL. Researchers consider that operational activities at the Andalas Jaya Building Company are still carried out manually. Therefore, the researcher will design a Point of Sales website system to help Andalas Jaya Building Company by conducting qualitative research to get conclusions from the required sales website system. In realizing the creation of a good Point of Sales system website, researchers took the first steps such as making a system design consisting of architectural design, use case diagrams, activity diagrams, entity relationship diagrams, interface designs, website menu structures, and system implementation. With the creation of a Point of Sales website at the Andalas Jaya Building Company, it is hoped that it can help the business transaction process become more effective and efficient for further researchers to add different features.

The asymmetric effect of G7 stock market volatility on predicting oil price volatility: Evidence from quantile autoregression model

This paper investigates the asymmetric effect of G7 stock market volatility on predicting oil price volatility under different oil market conditions by using the quantile autoregression model. Both in- and out-of-sample results demonstrate the prediction superiority and effectiveness of the quantile autoregression model. The US and Canada's stock markets exhibit the strongest predictive ability across the entire distribution, while the UK demonstrates strong predictive power specifically during periods of high oil price volatility. Japan, Germany, France, and Italy as oil importers can predict low and median oil volatility. The strong predictability of G7 stock volatility may be attributable to their significant impact on the business cycle and investor sentiment. This asymmetric prediction ability arises not only from the average volatility shocks at various quantiles but also from the bad and good stock volatility at different quantiles. Further research suggests that bad stock volatility appears to be more predictable than good stock volatility, especially in high oil price fluctuations. Furthermore, the superiority and effectiveness of the quantile autoregression model in predicting oil volatility are proven to be applicable to emerging markets. This study may provide useful insights for policymakers, businesses, and investors to improve crude oil risk prediction and risk management under different market conditions.

FACTORS AFFECTING LIVESTOCK HERD SIZE IN THE LEPELLE-NKUMPI MUNICIPALITY OF LIMPOPO PROVINCE, SOUTH AFRICA: A CASE OF SMALLHOLDER CATTLE FARMERS

Purpose: This study aimed to investigate factors affecting cattle herd size in the Lepelle-Nkumpi Municipality, Limpopo Province. Method: A proportionate random sampling technique was used and a total of 261 smallholder cattle farmers were selected as participants in this study. Primary data were obtained using a well-structured questionnaire, where the participants were interviewed face to face. The data obtained were captured and analysed using Statistical Package for Social Sciences (SPSS) version 28.0. Descriptive statistics and ordinary least squares (OLS), using a multiple linear regression model, were employed to analyse factors affecting cattle herd size in the study area. Results and conclusion: Descriptive statistics results revealed that the prevailing factors that affect cattle herd size in the study area included the following: draught; practical knowledge; no/lack of; maintenance; water circulation; access to good breeding stock; poor market prices; grazing land; stock theft; insufficient or no breeding stock and pests/parasites. The OLS regression results, derived from a multiple linear regression model, revealed the variables that significantly affected cattle herd size, and this included age, household size, sales per year, livestock keeping, and planted pasture. Most farmers (91.4%) would like to increase their livestock numbers. It was recommended that extension services should be encouraged, training should be provided, and stakeholders should be engaged to help cattle farmers in the study area. Policies aimed at improving livestock production among smallholder farmers should be informed by the factors and determinates found in this study. Value: This study contributes useful information for potential livestock farmers. In addition, the outcome of this study could be used as the basis for informed policy formulation to improve livestock production which will ultimately improve food security status of farmers.

Control of Goods Inventory Uses the Accurate Program

In this era of globalization, information systems play an important role in inventory management in trading, manufacturing and service companies. Inventory is an important asset that can generate profits through the production or sales cycle. CV Duta Survey Indonesia, a company engaged in sales, rental, service, and calibration of land measuring instruments, has a variety of products with stock coming from distributors. However, problems often occur related to recording and checking the stock of goods, which results in losses for the company. The system is needed to solve this problem can manage inventory well. CV. Duta Survey Indonesia has used the Accurate program for processing inventory data, but there are still things that need to be corrected in the inventory report. Therefore, the author will try to implement the accounting system with the Accurate program correctly. This community service activity aims to provide outreach and assistance regarding the use of the Accurate program in managing inventory properly, with the hope of improving the inventory administration system in the warehouse. The managerial implication in this research is that Accurate users help ensure accurate inventory data.

ESG performance on the value of family firms: international evidence during Covid-19

The link between the financial success of family companies during COVID-19 and their environmental, social, and governance (ESG) performance is examined for the first time in this research. We have a natural setting in the COVID-19 era to see if the market rewards family-run firms that integrate social and environmental concerns into their goals during uncertain times. Since they can enhance their image and reputation, which the market values, these companies are likely to pursue broader social objectives, such as environmental improvement (socioemotional wealth perspective); alternatively, managers can act as stewards of the family’s interests by using these initiatives to increase the company’s value (stewardship perspective). However, it is also possible that in this type of companies economic interests prevail over social wellness (“amoral familism”). Therefore, family-owned firms could be reluctant to implement ESG practices unless they yield certain socioemotional benefits, including enhancing or maintaining their reputation in the public eye. In light of the above, we use an international display of the 500 biggest family firms in the world from 2015 to 2021. Taking into account an endogenous relationship between ESG performance and family business value, the study uses generalized moments to construct a dynamic panel (GMM). The primary conclusion is that there is a positive correlation between corporate valuation and ESG performance. Nonetheless, it has been noted that the performance of the companies is negatively impacted during the COVID-19 period. However, for firms with superior ESG performance, this negative impact did not exist over this period, supporting the idea that investors view better ESG performance as a prediction of future good stock performance. The results have a variety of implications. To begin with, this study adds to the body of knowledge on the environmentally friendly and sustainable expansion of family companies by providing recommendations for investors and businesses to better understand the influence of ESG on the profitability of family businesses. Furthermore, managers have to concentrate on enhancing the ESG performance of their organizations as it has the potential to increase value, draw in investments, encourage sustainability, control risks, affect earnings, and interact with the ownership structure. Additionally, managers need to consider how important it is to have a strong ESG performance in order to mitigate the negative effects of external crises like the COVID-19 epidemic. It’s crucial to remember that the precise impact might change based on the sector and other aspects unique to each company.

Penggunaan E-Commerce Di Kalangan Para Pedagang Di Pasar Baru Permai (Sudimampir) Banjarmasin

Based on DataIndonesia.id (28/02/2023) in 2022 in Indonesia there will be more and more online business actors. This research aims to (1) Find out the motives of traders at Baru Permai Market, Banjarmasin who use e-commerce. (2) Knowing the motives of traders at Baru Permai Market, Banjarmasin who do not use e-commerce. This research uses qualitative research methods. The data sources selected used purposive sampling and the informants in this study were 6 people. Data collection was carried out using observation, interviews and documentation techniques. The data analysis technique in this research uses data reduction techniques, data presentation, and drawing conclusions. The results of the research show that (1) The motives of traders who use e-commerce are because of cheaper prices, to fulfill stock of goods, and a more diverse choice of goods. The objective motive is for promotional activities, and is more flexible. (2) The motives of traders who do not use e-commerce are because they don't know how, it's difficult to access, and it's difficult. The goal motive is not having to buy a quota, and not creating content first. Based on the research results, it is recommended that future researchers use different theories and methods to those used by researchers, taking a different market from Pasar Baru Permai because Sudimampir Market itself is a combination of several markets and sells different goods.

A STUDY OF FUNCTIONAL OUTCOME IN THREE COLUMN FIXATION OF COMPLEX TIBIAL PLATEAU FRACTURES

Introduction: The treatment of complex tibial plateau fractures (TPF), especially those caused by high-energy trauma, remains a challenge in many respects. Tibial plateau fractures are one of the commonest periarticular fractures. These fractures include 1% of all fractures and 8% of fractures in elderly. Motor vehicle accidents account for the majority of these fractures in younger individuals with good bone stock, but in elderly individuals these fractures may result from simple fall due to osteopenic bone. Conservative methods may result in malunion and articular congruity cannot be restored. Surgical treatment can regain articular congruity and restore mechanical alignment, and can allow early range of motion. Open reduction and internal fixation techniques had been associated with wound complications. Aim Of The Study: To evaluate functional outcome in patients of complex tibial plateau fractures treated by three column fixation. Materials and Methods: In our institution 20 patients with displaced tibial plateau fractures with posterior column involvement were selected for the study. This is a prospective study done from AUGUST 2023 to APRIL 2024(9 months).Patients were evaluated with X rays (AP and lateral views) and Computed Tomography (axial, coronal, sagittal with 3D reconstruction views). Fractures classified based on 3 column concept classification. Mean follow up period was 6 months .Functional and radiological outcome was assessed using functional knee score , modified rasmussen score and WOMAC score. Inclusion Criteria: 1. Patients admitted with complex tibial plateau fractures involving medial, lateral and posterior column of tibia. 2. Both sexes 3. Age 20-60 yrs. Exclusion Criteria: 1) Bad skin status of the fractured site. 2) Patients with co morbidities not fit for surgery. 3) Patients with neurovascular deficit. 4) Patients not willing for surgery. Results:In our study, 70% of the patients were in active productive age group (30-50 years). 85% of the patients were male. The fractures were left sided in 75% patients. 85% patients in study sustained injury due to road traffic accident. 80% cases in the study were type 5 schatzker type 5 fractures and all the cases included in the study were 3 column fractures. 8 cases out of 20 cases in the study required epidural analgesia instead of a repeat spinal as the duration of the surgery was longer. Conclusion: To conclude,3 column fixation in high energy displaced tibial plateau fractures with three column fractures resulted in Good clinical and radiological outcomes.

Application of the FP-Growth Algorithm in Consumer Purchasing Pattern Analysis

Technology is currently used in various ways, one of which is businesses engaged in selling daily products. The right marketing strategy makes knowledge of consumer shopping patterns important to study because consumers are the main actors in carrying out transactions. The more diverse the types of goods sold in a company, the more diverse the resulting consumer spending patterns will be. Data mining is an analysis process that is carried out automatically on complex and large amounts of data to obtain patterns or trends that are generally not realized. The FP-Growth algorithm is an alternative algorithm that can be used to determine the data set that appears most frequently (frequent itemset) in a data set. The method used in this research is the FP-Growth method which is implemented in the PHP programming language and MySQL as the database. Designing a data mining program using the FP-Growth method can analyze and manage consumer purchasing patterns based on goods purchased simultaneously. The data processed in this research is transaction data that has been processed into information so as to gain knowledge in calculating stock of goods sourced from the owner of Toko Asra. From testing this method, results were obtained from the 10 transactions in December 2021, by limiting the minimum support value to 0.2 and minimum confidence to 0.75, 33 patterns of consumer shopping habits were obtained, meaning that 33 products were most frequently purchased by consumers. Designing a data mining program using the FP-Growth method can help analyze consumer purchasing patterns based on items purchased simultaneously. The results of frequent itemset calculations can help find a sequence of combinations that can be used as product recommendations in business decision

IMPLEMENTASI METODE TREND MOMENT UNTUK PREDIKSI PENJUALAN (STUDI KASUS DI TOKO ZACOZI PANCING KABUPATEN SOLOK)

Zacozi Fishing Shop is a shop that sells various kinds of fishing equipment, from small to large. Through direct research at the Zacozi Pancing Shop, the problem was found that from year to year sales of fishing equipment at this shop experienced an erratic increase and decrease in sales every month. This happens because many goods are not sold out and there are many goods that consumers need but the stock of goods requested by consumers is insufficient. This is also because the shop does not have a system that can predict sales, so many products are not available for a long time. Therefore, it is necessary to have a sales prediction information system using the Trend Moment method to be able to predict sales of goods in the following month. The data used is fishing rod sales data from June 2022 to June 2023. With a sales prediction system using the Trend Moment method which can produce sales predictions for goods at the Zacozi Pancing Shop with an average success rate of 90%, it can help the shop in picking Actions that should be taken, especially in controlling product availability using the Trend Moment method so that stock shortages and excesses can be avoided.