Sales Transactions Research Articles

Associative Classification with Classification Based Association (CBA) Algorithm on Transaction Data with Rshiny

Data mining can be used for businesses with large amounts of data. One of the data mining techniques is Associative Classification. It is a new strategy in data processing that combines association and classification techniques to build a classification model. This research used an associative classification technique on sales transaction data of Frozen Food Stores, which had sales transaction data on their business activities. It would be used in sales strategies to find items often purchased by class customers, namely, members and general. This research aimed to classify based on association rules using the CBA (Classification based Association) algorithm on sales transaction data. The application used the R programming language that business owners could use. The results of the rules obtained from the trial had the value of support, confidence, coverage, and lift ratio, which were the best value levels of a rule. The results of the rules that had the highest lift ratio value from all the data that have been inputted can be used as a reference to be implemented in sales strategies in knowing consumer needs.

Design Of Web-Based Marketing And Ordering Applications At Talang Permai Store

The development of computers is very rapid and the need for information is increasingly perceived existence in an organization, it is no wonder many agencies that use computers to support the operation of these agencies. The emergence of the Internet that increasingly facilitate the exchange of information between users. One of the internet activities in the business world is as a media marketing and product sales through a website. The existence of a website makes it easy for customers to access information about the sale of available building materials and ordering of building materials online for customers at Toko Talang Permai. During this time, the sale and purchase transactions are only done manually and all the information generated about building materials is also not always accurate. With the existence of a marketing and ordering website, it is hoped that Talang Permai Stores can provide the best service to its customers and help facilitate shop owners in terms of data processing. So that the resulting data is more accurate and can increase efficiency and effectiveness. The research methodology used is field research and library research. The design of the Talang Permai socialization and buying and selling media website was made using the PHP programming language and MySql database.

Analyzing the effects of walkable environments on nearby commercial property values based on deep learning approaches

Interest in the economic effects of walkable environments is growing as the multidimensional benefits of walkability can be capitalized into surrounding property values. Commercial properties may be more sensitive to the economic effects of walkability compared to other types of properties due to their distinct attributes, but not many studies have investigated the relationships between walkable environments and commercial property values. Additionally, previous studies identified walkable environments on a neighborhood-scale, not at a meso- and micro-scale. This study fills these gaps by examining the effects of multifaceted walkable environments on commercial property values in Seoul, Korea. Based on sales transaction data between 2017 and 2019, we employed the hedonic price model to clarify the relationships between walkable environments and commercial property values. This study estimated walkable environments using semantic segmentation based on Google Street View images. Furthermore, we accounted for commercial submarkets to identify how the impacts of walkability vary across areas stratified by living population density. The results show that various walkable environments positively affect nearby commercial property values. Additionally, these effects vary across commercial submarkets' heterogeneity. Our findings provide a variety of suggestions for encouraging the creation of walkable environments and increasing the economic benefits of commercial properties.

Implementasi Metode Association Rule Mining Pada Penjualan Barang Di Toko Bangunan Ada Mas Menggunakan Algoritma Apriori

The purpose of this research is to implement the association rule mining method on sales transaction data at the store and also to find out the most popular and most sold building materials at the Ada Mas Building Shop. The implementation of the Association Rule Mining Method on the sale of goods at the Ada Mas Building Shop is used to provide information on the results of the sales pattern of building materials every month which can be used as a parameter in managing the inventory of building materials at the Ada Mas Building Shop, besides that it can provide information on the most popular and most sold building materials at the Ada Mas Building Shop. Based on sales transaction data for September 2022 as many as 193 transactions, the results of 2 itemset sales patterns using the Association Rule Mining Method that meet the minimum support of 10% and minimum confidence of 50% are the most popular items, namely Iron 10 KSTY, Iron 8 KSTY, and Iron 6 KSTY.

Perancangan Sistem Informasi Pemasaran Aneka Rajut Menerapkan E-Commerce Pada Toko Bizhie Handmade Menggunakan Bahasa Pemrograman PHP Dan Database MySQL

Along with the development of communication and computer technology and the expansion of global trade, human needs for fast and accurate information are increasingly increasing. Bizhie Handmade is an MSME business (Micro, Small and Medium Enterprises) located in the city of Padang, which produces several kinds of knitwear using knitted basic materials. The products are produced by themselves, starting from designing the product, creating the product and then selling the product to consumers. So far, the sales process for Bizhie Handmade is still carried out on an ongoing basis. manual such as sales and marketing of products in conventional stores. Through a website-based marketing system, you can have a great opportunity to develop your business by offering your products online to buyers without having to meet face to face and with a wider scope that can offer products on websites on the internet. The aim of this research is to build a marketing website for various knitwear which provides information about the products being marketed to make it easier for customers to order various knitwear on Bizhie Handmade, which is implemented in the PHP programming language and MySQL as the database. The data processed in this research is sales transaction data in the form of reports originating from Bizhie Handmade. With this website, it is hoped that it can help all activities at Bizhie Handmade.

Digital Financial Services (DFS) and Productivity of Indian Banking Sector - Empirical Evidence Using Malmquist Productivity Index and Panel Data Regression

Purpose: The aim of this study is to examine the impact of Digital Financial Services (DFS) on the productivity of banking sector in India.
 
 Theoretical framework: This research considered various digital banking services offered by bank and how it affects the actual bank performance in terms of productivity, by adopting a two-stage model i.e., Malmquist Productivity Index (MPI) and panel data regression.
 
 Design/Methodology/Approach: The empirical study was based on eight-year balanced panel data from 2012 to 2020. The sample of the study consists of forty-four commercial banks from India. This study is completely based on secondary data collected from the website of the database of the Indian economy and the National Payment Corporation of India (NPCI). To achieve the research goals, a two-stage approach has been used. Initially, Malmquist Productivity Index (MPI) was employed to estimate the total factor productivity changes. In the second phase, panel regression analyses were used to study the impact of Digital Financial Services (DFS) on bank productivity.
 
 Findings: The findings show that the Digital Financial Services (DFS) variables such as mobile banking, online banking, Automatic Teller Machines (ATM) and Point of Sale (POS) transactions are significantly improved the productivity of the Indian banking industry.
 
 Research, Practical & Social implications: The study addresses the issues such as identifications of factors affecting the productivity of banks including Digital Financial Services (DFS). In the world of digital revolution, it analyses whether bank can retain, continue and enhance their performance by offering modern product and services to their customers.
 
 Originality/Value: This article has conducted extensive analyses of Digital Financial Services (DFS) and banks' productivity. The authors also provide suggestions for the policymakers for the future implementation of digital banking services.

PEMBUATAN APLIKASI POINT OF SALES BERBASIS IPHONE OPERATING SYSTEM UNTUK UD. SINAR MAS

UD. Sinar Mas is a distribution company selling chemicals. UD. Sinar Mas records transactions using methods that are still manual or traditional. Where is the transaction method at UD. Sinar Mas also has several kinds of transaction systems such as receivables, debts, and there is also a barter sales of jerry cans, customers bring their own drums, or leave the drums with UD. Sinar Mas. The recording method in UD transactions. Sinar Mas, namely recording supplier names, recording customer names, sales transaction dates, purchase transaction dates, maturity dates. Because many transaction systems are recorded, it causes user errors such as missing notes, viewing the due date as well as errors in recording the due date when to collect debts, then how much customer debt remains, whether the goods have been sent by the customer or not, wrong mention of the price to a particular customer , an incorrect calculation of the amount sent is sometimes too less or too much, where the most fatal is the incorrect mention of the price to the customer because there are several customers whose prices are differentiated because of certain cases such as customers who have subscribed for a long time and also the remaining stock counting system which is still manual using approximate method so that it cannot produce a definite stock. The method that will be used for solving the problem is by creating an IOS-based application to help record transactions in UD. Sinar Mas. The result of this application is in the form of a cashier application that can record expenses, income and others. The purpose of this research is to help UD companies. Sinar Mas to record transactions more easily. From this problem, the author's solution is to design and design an iOS-based POS application. The POS application is made on the iOS platform because the owner of UD. Sinar Mas uses iOS as the main device. To save the data will be stored in SQL. The test is carried out using the UMUX method. The results of the test can be concluded that the resulting score is quite good. However, in the application test, there were a few obstacles, such as users experiencing confusion when pressing buttons and so on. Apart from that it runs pretty smoothly. The features that have been implemented have met the needs of the user.

A Study of Performance of Regulated Market and Its Benefits

The main objective of regulating the market is protecting the interest of producer, sellers increase the standards of the local Markets where the first exchange of the commodities take its place. In order to attain and reach the object of each regulated markets hence the establishment of Market committees are executed which is consisting of the representatives of the cultivators, dealers, locals’ bodies, co-operative, shops, sellers, and the selected state government candidates. Producers are mostly considered in these committees. The committee of market, would consist of (12) to (18) members, subjected to the size of the market. Regulated Markets have many advantages and benefits such as the growers are encouraged to bring their produce straight to the markets, Growers are protected from the manipulation of market functionaries, Market costs are definite and obligatory, Growers are ensured with better prices, Obtainability of the staffs for the disbursement of disputes, Facilities like platforms for the sale transactions, parking storage facilities, rest houses, and etc. are made available, Growers have accessibility to up-to-date, market information and Marketing costs are lowered and the producer share in consumer will increase. The regulated market functions are to deliver marketing facilitates, marketing of notified crops regulation, as well as to create a yards of the required infrastructural facilities.

ANALISIS POLA PEMBELIAN KONSUMEN MENGGUNAKAN ALGORITMA APRIORI

In order for sales transaction data to be useful and useful, data development or data mining methods are needed, especially in the use of the apriori association rule algorithm, in utilizing sales transaction data obtained from items purchased simultaneously by consumers when shopping. The data is used to find out items that are often purchased by consumers to increase their stock and reduce the stocking of goods that are not selling well. The data is also used by the store in arranging the placement of goods according to consumer behavior when shopping. Data retrieval with association rule is done through a mechanism with a minimum support of 0.17 and a minimum confidence of 0.60. The purpose of this study is to determine the results of analyzing transaction data that accumulates in clothing stores into useful information and to find out what items are bought simultaneously by consumers at clothing stores to manage inventory and can make it easier to arrange the placement of goods according to consumer interests based on the value of support and confidence. From the results of this study, items that have a relationship are Women's Tops and Men's Tops with a support value of 27.86% and a confidence value of 68.00%. This information can also be used to find out what items are in great demand and less in demand by consumers in determining what stock procurement should be prioritized in the future.

PENERAPAN DATA MINING UNTUK ANALISIS POLA PEMBELIAN KONSUMEN DENGAN ALGORITMA FP-GROWTH PADA DATA TRANSAKSI PENJUALAN SPAREPART MOTOR

The motorcycle repair shop is one of the factors that guarantees the comfort of using a motorcycle. Without a repair shop, riders will find it difficult to provide routine maintenance and repair their problem motorbikes. The data that has been collected is not only as archival data by the workshop but is utilized as data that is processed as information data that is used to increase sales of motor spare parts. This also has an impact on the utilization of existing sales transaction data because transaction data which is usually used as an archive causes accumulation of data whose benefits are not known, even though if the data is processed properly it can be useful as information used to make decisions in obtaining new knowledge about sales besides that it is difficult to make the right decision to determine the stock of goods based on spare part purchasing patterns, as well as the availability of repair shops in every corner of the city does not necessarily guarantee the comfort of motorbike users because there is no fast and accurate information. To get this information, it can be done using data mining techniques.

PERANCANGAN APLIKASI PEMESANAN DAN PERCETAKAN PADA PT SANGKAKALA INDAH MENGGUNAKAN METODE UCD (USER CENTRAL DESIGN) BERBASIS ANDROID

The development of technology today is very fast, without exception, both information and communication technology. Therefore, an efficient step is needed to anticipate it. Information and communication technology is now starting to enter various aspects of life, one of which is in the business world. This is because a lot of work is assisted by information technology which is able to minimize the level of errors even to the level of losses that will occur. PT Sangkakala Indah is a company engaged in the printing sector, namely serving the design of document notes, banners, banners and is currently facing problems in the field of ordering. The ordering system at PT Sangkakala Indah is still done conventionally. For example, in recording orders, making order invoices to taking orders and transaction reports, they still rely on recording on notes and the difficulty of communication between graphic designers and customers. This of course can cause loss or damage to the order data or sales transaction. \Digital printing is a printing method for producing printouts that are done using digital-based images or documents. With this method, documents or print applications can be processed quickly and easily. This digital printing is an innovation from its predecessor, offset printing, which is classified as wasteful of raw materials and production time. Digital printing has advantages such as producing sharp print and color applications, lower costs, being able to print in small quantities, and being able to streamline production timeUser centered design (UCD) is called human centered design.

Legal Protection for Buyers of Joint Assets Sold Without Wife's Consent

This article aims to provide an objective explanation of the legal protection afforded to buyers who intend to transfer rights to land that is jointly owned without the wife's consent. In 2012, the late Haryanto sold the land to PT. Makmur Persada Indonesia conducted the transaction as recorded in Sale and Purchase Deed No. 53/2012, prepared by Notary/Land Deed Maker Hj. Hasnawati Juweni Shande. In 2017, Sherly initiated legal action asserting that the deed for the land sold by the deceased Haryanto reflected joint ownership resulting from his marriage to Sherly; yet, the relevant sale and purchase transaction occurred without Sherly's involvement despite her rights to the property. Normative research was conducted utilising a statutory, conceptual, and case approach. The research specifically analysed secondary data, comprising primary and secondary legal materials, which was analysed descriptively. In relation to Sherly's lawsuit, the Serang District Court issued decision Number 39/Pdt. Srg, which resulted in the rejection of the plaintiff's application. Subsequently, the plaintiff lodged an appeal against the Serang Court's decision. In 2018, Decision Number 39/Pdt/2018/PT BTN of the Banten High Court upheld the Serang District Court's decision to reject the applicant's claim entirely. The Supreme Court confirmed this judgement in 2019 with Judicial Review Decision Number 227K/Pdt/2019, thus dismissing the plaintiff's lawsuit. Thus, it seems that the verdict of dismissing the plaintiff's application safeguards the buyer.

Implementation of the Lamikro Application in the Preparation of J'Ramy Farm Financial Statements in accordance with SAK EMKM

J'Rami Farm is a dairy farm located in Bogor. In financial management, the owner manually records sales transactions of milk, dairy products as well as expenditures for the purchase of feed, tofu dregs and employee salaries. Meanwhile, expense transactions for overhead costs such as electricity costs, fuel costs, depreciation costs and trade receivables have not been recorded routinely and completely. This causes the financial condition is not known with certainty, because every month the owner has not made a financial report. The purpose of this study was to analyze the implementation of the Lamikro application (micro business accounting reports) in the presentation of financial statements based on SAK EMKM. The Lamikro application is an application created by the Ministry of Cooperatives and SMEs which is expected to assist business people in making financial reports independently and according to SAK EMKM standards. The research methodology used in this study is a qualitative method through interviews and observations. The results showed that the use of the Lamikro application was able to help J'Rami Farm to present bankable financial reports and in accordance with Accounting Standards. The obstacle faced by the owner in using the application is the lack of understanding of accounting, while the limitation of the Lamikro application is that the user cannot edit and add accounts that match the business character of a business.

Millennium Shop Information System

Toko Millennium Shop is a shop that runs a business in the electronics sector which is domiciled in Solo, Central Java. Currently the Millennium Shop wants to improve service and work efficiency in terms of time and energy. This is done because as the shop develops, the current business processes cause problems such as a lack of work efficiency in terms of time and energy. This happens because of poor management and archiving of sales transaction data, goods management. On the other hand, poor sales data archiving creates problems with financial records, sometimes there are some sales that are not recorded, so it is not known exactly how much income and expenses each month are from the existing archives. Therefore, to improve the services available in the store and in an effort to solve existing problems, a web-based electronic store management information system was created by applying the MVC (Model-View-Controller) design pattern with the main feature being to facilitate the sales transaction process, management goods, recording sales and financial transactions. The system development process uses the waterfall development model. The implementation of the system was developed using the Laravel framework with the PHP programming language. The system developed has been tested using unit, integration, validation and compatibility testing strategies to produce values with valid status.

Corporate Tax Planning: The Refashioning of Earnouts

This article discusses the Canadian income tax treatment of earnouts, primarily as they relate to share-based sale transactions. The article begins by providing an overview of the commercial environment driving the earnout structure in recent transactions and the resulting tax impact. It then examines the legislative history and income tax treatment of earnouts, including the cost recovery method and the most recent view of the Canada Revenue Agency, followed by a comparison of royalties with earnouts. Next, the definition and valuation of goodwill are explored in relation to the impact of goodwill on the characterization of earnouts. The article then provides an overview of a reverse earnout as an alternative to a standard earnout structure, its tax implications, and the most recent court case on a reverse earnout. Finally, the article discusses the nuances of the tax treatment of earnout payments to purchasers after the acquired property to which the earnout relates has disappeared or has been disposed of.

Analysis of the Application of Transaction Data with Association Techniques using the Apriori Algorithm in Pharmacy

The development of information technology influences the rapid growth in the amount of data collected and stored in large t. Dimas Pharmacy, located at Jl. Segara Kec. Nipah Panjang is one of the public health services that sells various medicines, medical devices, and so on. This study is expected to provide positive benefits for owners of Dimas Nipah Panjang Pharmacy in Providing information about the pattern of medicine purchases made by consumers and Facilitating pharmacy owners to know the available medicine supplies in the warehouse so as not to experience emptiness when needed. Problem Formulation, Literature Study, Data Collection, Calculation and Analysis of Associations with Priori Algorithms, Results Evaluation and Analysis and Report Making. Based on the results of interviews and observations that have been made, the authors obtain data from the Dimas Pharmacy sales transaction. Data held ± 1000 sales transaction data for the period of May and June. But the author only entered 216 sales transactions in May and 141 sales transactions in June. After knowing the method of data selection, the authors conducted data selection by taking 6 items of significant data specifications in certain contexts, namely Anti Serotonin / Allergy, Antacid / Ulcer, Antibiotics, Antipyretics, Inflammation, Hypertension Each of these items had different brands. From these results it can be explained that the sales transaction of the Dimas Pharmacy in May and June generates or generates relationships between shopping product items. With the calculation of the Apriori Association Algorithm, a Market Basket Analysis relationship was found between Medicinal Pronicy and Dexa items. With the Rule "IF Buy Pronicy, THEN Buy Dexa". The rule is generated from the highest support and confident values of the overall support and confident items. The highest support value is 0.15 and the highest confident value is 0.5 ".

Analisis Harga Dalam Praktik Pembulatan Harga Tinjauan Ekonomi Islam

Analisis Harga Dalam Praktik Pembulatan Harga Tinjauan Ekonomi Islam

Penerapan Algoritma Adaptive Response Rate Exponential Smoothing Terhadap Business Intelligence System

PT. XYZ is one of the companies in the field of furniture sales by offering its flagship product, namely spring bed. The company's business continues to grow every year, of course, the company must be able to complete its work quickly and precisely. One of the main problems of the company is that the increase in company sales is still not able to cover the company's expenses and sometimes the company still suffers losses. This happens because companies often make mistakes in purchasing product inventory stock. Not all types of spring beds sell well, so sometimes purchases are made of the type of spring bed that is not selling well, which results in stock accumulation and instability of the company's cash inflow and outflow. In this study, a Business Intelligence System was built, which is a form of information technology implementation to store, collect and analyze data into knowledge so that it can be used as prediction results. The prediction algorithm used in this research is the Adaptive Response Rate Exponential algorithm. The expected goal of this research is to build a Business Intelligence System that can calculate product sales predictions in the following month using the Adaptive Response Rate Exponential Smoothing (ARRES) algorithm. Based on the results of the MAPE test, it can be concluded that the percentage of prediction accuracy from the ARRES algorithm on the sales transaction data of PT. XYZ is 53.33% which is categorized as quite accurate and the percentage of prediction error from the ARRES method is 46.67% which is categorized as reasonable

Implementasi Algoritma Apriori untuk Menentukan Pola Transaksi Penjualan Berbasis Web

The Apriori algorithm is an algorithm that is well known for searching frequent itemsets using the association rule technique. The calculation of the Apriori algorithm uses minimal support and minimal confidence to determine the limit for calculating goods. The a priori algorithm functions to determine the pattern of sales of goods that are often purchased together by customers. The history of sales transactions owned by a store can be calculated for its frequent itemset pattern by using an a priori algorithm so that customers can find patterns of items that are often purchased simultaneously by customers. Therefore, the a priori algorithm is very important to be used by shop owners because it can determine sales strategies and the placement of goods that are often purchased simultaneously by customers. In this study, the authors succeeded in calculating a sales transaction by determining a minimum support limit of 10% and a minimum confidence of 10%. With the minimum support and minimum confidence that has been set by the author to see the results of the a priori algorithm for sales, then the results of 2 combinations of itemsets that meet the calculation requirements are obtained.

ÇOKLU REGRESYON MODELİNE GÖRE E-TİCARET İŞLEM HACMİNİ ETKİLEYEN FAKTÖRLER (TÜRKİYE ÖRNEĞİ)

The widespread use of the internet in the 21st century, thanks to the developments in information technologies, has affected not only daily life but also economic activities. With the spread of the internet, business owners have turned to internet marketing system instead of traditional marketing. Additionally, purchase and sale transactions have been moved from the real world to the virtual world, and the increase in the number of users in the electronic environment has made the sales process popular for businesses and the purchasing process for consumers. This study discusses the development process of e-commerce and the factors affecting e-commerce with a time series analysis. In this context, first, the historical development of e-commerce and then the situation of e-commerce in Turkey and in the world are presented using numerical data. Lastly, the factors affecting e-commerce are discussed. The scientific dimension of the study was created by bringing together the findings obtained from domestic and foreign literature. In this study, factors such as Per Capita Gross Domestic Product (PCGDP), the number of internet users, social media prevalence, inflation, and the Covid-19 pandemic, which may affect the e-commerce transaction volume in Turkey, were put forward for the years 2010-2021. By creating a multiple linear regression model in which these factors are independent variables, the degree of effectiveness of the factors affecting the e-commerce volume has been presented and interpreted. This study aims to fill the gap in the literature and guide future research on similar issues.