Record Sales Research Articles

Analysis Brand Image, Product Quality, And Brand Ambassador On Customer Purchase Decision For Scarlett Whitening Product In Sidoarjo

The tight business competition between companies today means that all companies want to be the best to attract the attention of consumers. Scarlett Whitening is a company that reached a sales record of 1 billion in 4 hours when collaborating with Exo. EXO is used as a strategy to attract consumers to buy this product. However, Scarlett Whitening consumers do not only look at the type of product or quality, consumers also look at the advantages in terms of the brands that are most popular. This research aims to examine the influence of Brand Image, Product Quality, and Brand Ambassador on Consumer Purchasing Decisions in Sidoarjo. This type of research is quantitative using descriptive statistical data analysis methods and testing methods including: Validity Test, Reliability Test, Classical Assumption Test, and Hypothesis Test. Data collection took the form of distributing questionnaires which produced valid data for 100 samples. The results show that the brand image variable has an insignificant positive influence. Meanwhile, the product quality and brand ambassador variables have a positive and significant effect.

Product Layout Analysis Based on Consumer Purchasing Patterns Using Apriori Algorithm

In every self-service store, it is certain to have a sales transaction data, where the data will continue to grow every day. But in self-service stores the data is only a record of sales at the store. Whereas transaction data can be used as information on how consumer purchasing patterns when shopping at the store, but not all supermarkets know this. So this research aims to find information on these purchasing patterns, where to do this research using the apriori algorithm which is part of the association technique which is also part of data mining, where in its application it will calculate the support value, confindence value and will be tested using the lift ratio. And after the calculation is carried out, optimization will be carried out using the high utility itemset mining variable which will calculate the highest profit value on the product, so that based on the calculation, the final result is obtained with a support value of 85%, a confidence value of 86%, a lift ratio test of 1.01 and the high utility gets the highest result of Rp. 567,000.

Design of management database for Mihiyo company

The mihoyo Sales Management System was developed to adjust to the dynamic business environment and maintain a competitive edge. In the context of this era, the mihoyo Sales Management System utilizes a robust database structure to optimize sales operations. In this paper, a management database for Mihiyo company is designed. The customer module stores customer information, linked to orders, payments, and expenses. An order table tracks order details, linked to customers and products. Payment and shipment tables manage transaction and delivery information. The inventory table enables real-time monitoring of stock levels. Financial management tables record sales, payment, and expense data. User tables store information related to different user roles. The system's interface seamlessly interacts with the database, allowing users to access and update information efficiently. The reporting and analytics module analyzes data from the database, facilitating decision-making and performance evaluation. Database testing requires completing relevant test cases and achieving a robust system.

The Effect of Online Engagement on New Product Performance: Why Fit and Brand Longevity Matter

Recently, customer engagement in social media has received great attention in the literature, with the aim of understanding its impact on brands and product performance. However, little attention has been given to the potential dark side of engagement, especially in the context of new product launches. This article thus examines the relationships among customer engagement in social media, new product fit, brand longevity, and new product performance. Using the music industry as a context, this research shows that the small but positive effect of prerelease social media engagement on record sales becomes strong when the level of fit is high; for newer artists, engagement can even have a negative effect when fit is very low. This study uses a sample of 181 albums launched by 158 artists in the Canadian market between 2016 and 2017 and a data set that combines weekly record sales, social media activity, and Spotify's audio features analysis. A regression discontinuity–inspired model that accounts for endogeneity concerns is applied to test the hypotheses. This study contributes to the literature by providing robust empirical evidence of a possible negative side of engagement. Although engagement can help artists succeed, it might interfere with their artistic freedom.

Perancangan Sistem Informasi Akuntansi pada Toko Gomart Bengkalis

The Gomart Bengkalis Store Accounting Information System is designed so that stores can calculate and record sales in accordance with good accounting principles and produce accurate, fast and precise information. Accounting information systems produce information such as inventory reports, cash inflow and outflow reports, and daily sales reports. This is especially important for shops that monitor company productivity and ensure that previously manual tasks are replaced with automated tasks. Practical, and database storage. More secure than previous systems. The information system design is implemented in the form of a web-based system and database that allows users to post journals, which are then processed by the computer system to produce the required information. The method used in this research to design this information system the SDLC method

Perancangan Sistem Informasi Penjualan Obat Pembersih Kerak Lantai Berbasis Web pada PT Duta Jaya Fritztama

This research aims to analyze, design and build sales information systems at PT. Duta Jaya Fritztama. The design of this sales information system was developed using the PHP programming language using MySQL as the database. The method used is descriptive qualitative method and the system development used is the Waterfall method and the data collection techniques used are interviews, observation and literature study. The problems that occurred at PT. Duta Jaya Fritztama is in a sales system that has been computerized but is not optimal so that the system is less efficient and takes a long time to record sales. The effort to solve this problem is to create a web-based sales information system to make it easier for users in the process of recording sales, improve service, comfort and make company performance more effective and efficient.

Transformative Implementation of Android-Based Point of Sale System at Shafira’s Buffet Stall

Shafira’s Buffet Stall is a small eatery located at 37 Gubeng Kertajaya V Raya Street. They offer a diverse range of delicacies, from fried snacks to vegetable dishes. The typical business process at the stall involves customers either dining in or requesting takeaways. After making their selections, the customers proceed to the cashier to have their orders tallied. Observing this process, the idea of developing an Android-based Point of Sale (POS) system struck the author. This system aims to streamline and record all transactions efficiently. The Point-of-Sale system is designed to facilitate seamless transactions and includes a cashier module to record sales. The decision to develop this POS application was driven by the need for accurate transaction records and seamless management. The Android platform was chosen due to its popularity as the most widely used mobile operating system in Indonesia, boasting an impressive 89% market share as of December 28, 2022. Additionally, in urban areas of East Java, around 68.75% of the population utilize mobile phones, further justifying the choice of the Android platform for the system. The application offers features such as login credentials for two types of accounts: cashier and administrator (faktur). It allows access to functions like managing transactions, adding new menu items, listing available menu items, and generating daily and weekly transaction reports. The implementation and testing of the application were performed through two iterations. After incorporating the necessary improvements based on black box testing, all features functioned smoothly. Usability testing resulted in a remarkable 5.73% increase in overall user satisfaction. This Android-based POS application proves to be an invaluable tool for the business owner, providing insights into popular menu items and their daily and weekly sales. It assists in making informed decisions regarding menu restocking and daily sales strategies.

Technology and economics of electric vehicle power transfer: insights for the automotive industry

Battery-based electric vehicles (BEVs) in the United States (U.S.) set a new sales record in 2022, driven by technology, policy, environmental, and economic objectives. However, the rapid deployment of BEVs and charging infrastructure without a careful review of their integration with the electric grid can have negative economic impacts on reliable and resilient electricity supply. Bi-directional power transfer (Bi-Di) vehicle-grid integration technologies and services such as vehicle-to-home or building (V2H/B) and vehicle-to-grid (V2G) can potentially lower local and system peak demand, improve economics for grid operators, and benefit BEV customers. Original equipment manufacturers (OEMs) in the automotive industry are exploring technologies and economics (techno-economics) for Bi-Di services. The study conducted a literature review of eleven case studies in the U.S. and Europe that featured Bi-Di demonstrations from 2005 to 2022 to highlight insights and techno-economic opportunities and challenges for OEMs. The findings should motivate the OEMs to prioritize technology innovation and business models to increase BEV sales and gain continuous revenue from Bi-Di services, which can potentially transition "car makers" to "technology solution" companies.

Sistem Informasi Penjualan Obat Pada Apotek Wi.Ly Berbasis Local Hosting

With the rapid development of information technology, it has a very important role in various fields. The purpose of this thesis research is to produce the development of a systematic and structured data collection, sales, purchasing system at Willy's Pharmacy, where the previous system still used a manual system with using books, so the author can use local hosting-based information systems as data storage media. The results of the system are made to facilitate the sales and purchase process. The author's purpose in making this research is to make it easier for Willy Farma pharmacies to check, record sales, report sales, purchase reports on drugs. In addition, by using local web hosting, data information can be accessed at any time. The information system is in the form of Local hosting with the Xampp.

Sales Record Application for Boarding House

The rapid penetration of information technology causes people to take advantage of technology in various ways to facilitate tasks such as accessing, disseminating information and even assisting in daily business work including managing boarding houses. This situation further encourages people to continue to carry out various kinds of experiments and research to develop ways that bring more benefits to make it easier to do business (Yusmaida et al., 2020). Website-based applications that can be used in all fields such as business or social have been widely used and have proven to be beneficial to society (Rachmadi et al., 2016). Websites can be an effective tool in the boarding house rental business to provide information to boarding house owners, tenants and managers to manage everything related to boarding houses in one integrated web-based information system (Shinta Siti Sundari, 2015). A web-based information system can be used to help owners deal with various administrative and financial problems for a boarding house business. The system can help prospective tenants monitor rooms that are filled, damaged, or unfilled, can help tenants pay rent, and can help owners with financial reporting (Mursid & Arman, 2021). The manual process of managing a boarding house can be complicated, time-consuming, and there is a risk of errors in data input. Especially if the number of rooms managed is tens to hundreds of rooms. Therefore, an efficient and easy-to-use solution is needed to manage boarding houses and using a website can be the ideal solution. Based on the background that has been described previously, the problems that arise is how to design a accounting information system application for boarding house. The limitation of this application is focus on revenue cycle. Keywords: Sales Record, Application, Boarding House

Decision Support System in the Selection of Used Motorcycles with the Multi Attribute Utility Theory (MAUT) Method

Transportation is a tool that is useful for moving goods or people in a certain quantity, to a certain place, within a certain period of time. The need for means of transportation has now become a primary need. Compared to public transportation, some people prefer to use private vehicles, especially motorbikes. Besides being an agile and practical means of transportation when used to get through traffic jams both in the city and outside the city, motorcycle fuel consumption is lower when compared to four-wheeled vehicles. As the times progress, more and more motorbike choices are offered by motor manufacturers. With the many latest motorbike outputs coupled with the increasingly intensive advertising of new motorbikes, some consumers are interested and encouraged to exchange (sell) their motorbikes and replace them with the latest motorbikes, so this creates used motorbikes that are still fit for use to be re-traded to consumers. other. Rifdah Motor Khatib is a company engaged in the sale of used motorbikes. The problem experienced by Rifdah Motor Khatib is the difficulty in processing used motorbike sales transactions because the recording process still uses the manual method , namely recording directly in the ledger and in the form of notes on the purchase of used motorbikes. The process takes a long time to record sales of used motorcycles. To overcome this problem, a decision support system was designed using the Multi Attribute Utility Theory (MAUT) method. From the results of the study it was found that the system can assist the company in making decisions on the selection of the best used motorbikes that are effective and efficient

Design and build a Point of Sales (POS) application model using the agile method for super mama frozen food

The Point of Sales (POS) system refers to a system which supports sales transactions where POS is currently growing since it has the ability not only to record sales, record inventory, print invoices, calculate profits but also improve services for business people and entrepreneurs. Super Mama Frozen Food is a store that is currently developing in Malang. In addition, the simple of access to buying products through online services has made the increasing in transactions. However, at Super Mama Frozen Food, most of the data management, data processing, and sales transaction processing have so far relied on a manual or paper-based recording system. As a result, this condition may open up risks in both data management and security. By designing a website-based Point of Sales System, recording sales, collecting inventory, printing invoices, and calculating profits can be done using the PHP programming language with the CodeIgniter framework and MySQL. This system was developed using the Agile Method with the reason that short-term system design can increase client satisfaction

Berger Paints celebrates centennial year with record sales

Berger Paints celebrates centennial year with record sales

Implementation of Least Square Algorithm to Predict Monthly Revenue (Case Study: Djuju’s Grocery Store)

Business owners need to estimate their revenue, which is crucial for the sustainability of their operations. Thus, entrepreneurs such as micro, small, and medium-sized business owners, as well as owners of grocery stores, leverage technological advancements to maximize their sales operations. However, manual sales activities can pose challenges for managing sales data, such as disorganized sales record keeping, failure to record sales of high-volume customers, and time-consuming manual reporting for revenue predictions. To address these issues, researchers have developed a revenue prediction information system. In this study, revenue and profit predictions for the following period were calculated using the Least Square algorithm with the Mean Absolute Percentage Error (MAPE). An example calculation for a 12-month period resulted in a revenue forecast of Rp. 2,837,687.76 for the month of June 2023 with a MAPE of 12.71%.

SIKLUS PENDAPATAN DAN PENGELUARAN KAS DI TOKO EMAS E TARGER DALAM SISTEM INFORMASI AKUNTANSI

This study aims to examine the income and expenditure cycle at the E Targer Gold Shop with an accounting information system. The use of accounting information systems helps improve efficiency and accuracy in the cycle process. This study uses a descriptive method by collecting data through observation, interviews, and analysis of related documents. Several problems were found that could be corrected through the implementation of an accounting information system. In the revenue cycle, the information system makes it easier to record sales and financial reports. In the expenditure cycle, the information system facilitates the procurement and recording of expenditures. Implementation of accounting information systems is recommended to increase efficiency, accuracy, and make the right decisions in a gold shop.

Online Convenience Store System using Multidimensional Data Visualization

The explosion of e-commerce businesses has seen the growth number of the online businesses worldwide. Retailers nowadays are opting with e-commerce platform to manage and monitor the business activities which is considerably convenience such as visualizing the sales data. However, Serbaneka is still using traditional way to store the sales data such as in spreadsheet papers which lead to data loss or misplaced the sales record. The objective of this research is to study the current usage of e-commerce system among hostel students in UiTM Tapah. A preliminary survey was carried out by eight selected hostel students in order to generate a list of criteria based on students' previous experiences with e- commerce systems. The following objective is to develop a web- based convenience store system using multidimensional data visualization for Serbaneka UiTM Tapah. The System Development Life Cycle (SDLC) method is used in the development of Online Convenience Store System for Serbaneka UiTM Tapah. Besides, multidimensional data visualization is used as method in visualizing the sales data of Serbaneka UiTM Tapah. Other than that, this research is to evaluate the usability of the system using Post-Study System Usability Questionnaire (PSSUQ) approach. The PSSUQ evaluation is evaluated by three selected experts. The results of PSSUQ evaluation stated that the experts satisfied with the development of Online Convenience Store System using Multidimensional Data Visualization for Serbaneka UiTM Tapah. This is due to the system's ability to assist retailers Serbaneka UiTM Tapah in managing and monitoring the business activities.

Using electronic record of sales to support fair budgetary allocations across Czech municipalities

Abstract The paper focuses on electronic record of sales, a tool enabling continuous monitoring and control of declared sales of business entities. Such systems have been recently gaining popularity in European countries. The objective of the paper is to analyse the possible use of electronic record of sales for a fairer redistribution of shared taxes according to the place where the taxable income was earned. We do not consider the current situation to be entirely fair, as sales may be realized in the whole territory of the country. However municipalities that help businesses achieve their income are not fairly rewarded for doing so. This usually gives larger municipalities an advantage at the expense of smaller ones. Currently, the tax administration has sufficient technical equipment to be able to identify the place where the revenue was received.

Challenging headwinds

Record sales for Inspecs but instability in Europe hurts the bottom line. Simon Jones reports

The Decision of Product Market Forecasting and Delisting Based on PSO-BP

Objective: Aiming to construct a product sales forecasting model with higher forecasting accuracy to make guidance on product delisting and maximize product sales revenue. Methods: This paper uses the particle swarm optimization (PSO) algorithm to optimize the back propagation (BP) neural network of the sales model, and selects the iPhone 11 cell phone sale record as the data set for experimental simulation of the sales forecasting model. The delisting model makes forecasting on the sales revenue of the same cell phone with different memory in a future period. A reasonable product delisting time scale is set, and the delisting time point is determined in conjunction with the revenue situation. Results: The empirical results show that all evaluation indexes of the forecasting accuracy of the PSO-BP neural network forecasting method used in this paper can be improved by more than 20%. Meanwhile, when cell phones with a different memory of the same model are sold in the same market, the cell phones with the medium level of memory have a longer life cycle than those with large and small memory, and the total revenue obtained from selling the cell phones with the middle level of memory is higher. Conclusion: Some insights can be drawn from the study. The PSO-BP neural network forecasting method not only has higher forecasting accuracy than the BP network, but also has better generalization performance and robustness. Since the lifecycle of cell phones with medium memory and the revenue obtained from sales are higher, companies should produce more cell phones with that memory size to maximize corporate revenue. The forecasting results provide a powerful guide for enterprises to make a reasonable dynamic adjustment. These insights of this paper provide theoretical guidance for enterprises to make product retirement decisions.

Forecasting Future Sales of Bigmarts

Abstract: In this contemporary era, supermarket and general stores have been scrutinizing the sales record for knowing the demands of customers and to find the straggles in general trend. So, as the data is available a predictive model has been built using various algorithms such as Polynomial regression, XGBoost, Linear regression, and Ridge regression techniques for forecasting the sales of a business in advance. The prediction is based on sales of supermarket for various outlets to calibrate the business model to expected outcomes. With the results and analysis provided by the model retailers can know the sales volume in advance