Sale Systems Research Articles

Pengaruh Variasi Produk dan Sistem Penjualan terhadap Kinerja Pemasaran UMKM di Kecamatan Kampa

The problem in this research is the low variety of products and sales systems on the marketing performance of MSMEs in Kampa sub-district. This research aims to determine the effect of product variations and sales systems on the marketing performance of MSMEs in Kampar District. The variables used in this research are product variations and sales systems as independent variables and marketing performance as the dependent variable. This research is quantitative research. The data source in this research is primary data where the data collection method uses a questionnaire method which was distributed to all MSMEs in Kampa District which were the research subjects, totaling 53 respondents. The research population for MSMEs in Kampa sub-district is 61 MSMEs. The sample for this research consisted of 53 MSMEs. The results of this research show that product variations have a positive and significant effect on marketing. The sales system variable has a positive and significant influence on marketing performance. Based on the calculated product variations and sales systems can jointly influence the marketing performance of MSMEs in Kampa District

Product recommendation for online sales systems based on transaction sessions

The advancement of information technology has influenced and accelerated the growth of many economic fields and industries, including e-commerce. This is one area of information technology that has rapidly developed and gained widespread popularity due to the significant benefits it offers to the community. Today, the need for online shopping is increasing because of its convenience and timesaving, especially for busy people. Historical session data plays an important role in helping sales systems recommend orders to customers that suit their personal preferences. This study proposes models for recommending products on online sales systems based on transaction sessions using memory-based collaborative filtering methods, including user-based and item-based, and model-based collaborative filtering methods including SVD and KNN. The experimental results show that the SVD model has a better rating prediction performance than other techniques. Therefore, it is probably proposed for product recommendations on online sales systems.

Implementation and Optimization of Digital Ticket Applications Using Java in Online Sales Systems

Online digital ticket sales have become one of the main methods of distributing tickets for various events, from concerts to transportation. Although many digital ticketing applications are available, there are significant challenges regarding performance, security, and integration with payment systems. This research aims to implement and optimize a digital ticket application using Java in an online sales system to increase efficiency and security. This research methodology includes the development of Java-based applications with a microservices architecture approach, which allows separation of functionality and increases scalability. This application is designed to manage the ticket purchasing process, including event selection, payment, and electronic ticket delivery using QR Code technology for verification. In the implementation process, Spring Boot technology was used for server-side development and JavaFX for the user interface. The results of this research show that the Java-based digital ticket application developed can manage transactions efficiently and safely, and can handle high user volumes without significant performance degradation. These findings provide an important contribution in the field of digital ticket application development and can be used as a reference for implementing similar systems in various sectors.

Integration of Price Data in Wind Power Sales Systems Using Association Rule Mining Combined with Deep Learning Algorithms

With the growing attention of the global population towards renewable energy sources such as wind power derived from natural resources such as Solar, Geothermal, and Wind energy, there is a growing need for genuine estimation of wind energy. Wind energy is important in the supply of electricity in the global energy markets because of its enormous importance in the delivery of renewable energy. As such, it is crucial for accurate appreciation of the power of the wind to ably respond to issues that relate to the trading of power while at the same time addressing issues to do with planning, scheduling and strategic positioning of wind power generation. Therefore, the present work aims to develop a new model known as the Association Rule with DL-based Wind Power Generation and Price Prediction (ARDL-WPGPP). It utilizes two datasets: An Energy dataset includes various columns like tie, wind onshore forecast, and price actual, whereas the weather features dataset includes only wind speed. These datasets are combined to create a dataset where each transaction represents 2 hours of wind generation. A data mining approach is employed to uncover hidden patterns, rules, concepts, and correlations within these datasets, operating on various types of data including quantitative, textual, and multimedia formats. To efficiently extract rules from the dataset, an improved Apriori algorithm is introduced. Subsequently, the generated rules incorporating wind speed are passed into an improved LSTM model, which learns by comparing the label data. The price actual value serves as the label data, assigning labels to data points based on their actual price value. High price actual values indicate high wind power prices, while low values indicate low wind power prices.

Unveiling Vulnerabilities in Serial Printer Point - of - Sale Systems: A Hardware Analysis Approach

Unveiling Vulnerabilities in Serial Printer Point - of - Sale Systems: A Hardware Analysis Approach

PERANCANGAN SISTEM INFORMASI PENJUALAN PADA TOKO SARI COLLECTION BERBASIS WEBSITE

With the development of internet technology, one of the most affordable forms of communication networks with an infinite receiving range is now possible. The development of information and communications technology, particularly in the area of e-commerce, has an impact on the business sector. The idea of online purchasing and selling of commodities is known as e-commerce. The issue that frequently arises in the case study of Toko Sari Collection is represented by offline promotions, manual data processing, and offline-only sales systems. The goal of this research is to build information systems based on e-commerce in order to address current issues. The findings and recommendations of this research are presented in the form of e-commerce sales websites that have the potential to increase sales volume and streamline data processing and promotion procedures.

ADVANCING POS SYSTEMS FOR SEAMLESS RETAIL EXPERIENCES

This research paper explores the significance of advancing point of sale (POS) technologies in modern commerce, with a focus on their role in improving business operations and enhancing customer experiences. POS systems serve as critical tools for businesses across various industries, facilitating transactions, managing sales processes, and providing valuable insights into business performance. The paper delves into the evolution of POS systems, from traditional cash registers to sophisticated digital solutions, and examines the current state of POS technology, including hardware and software components. Moreover, it discusses recent trends and advancements in POS innovation, such as the integration of emerging technologies like artificial intelligence (AI) and Internet of Things (IoT), and their implications for businesses. Through empirical research, case studies, and expert analysis, the paper aims to provide insights into the benefits and challenges of adopting advanced POS technologies, as well as recommendations for businesses seeking to leverage these technologies to drive growth and improve operational efficiency in today's dynamic market place. Keywords- Point of Sale (POS) Systems, Advancing Technologies, Retail, Business Operations, Customer Experience, Emerging Technologies, Artificial Intelligence (AI), Internet of Things (IoT), Payment Processing, Inventory Management, Cloud-based POS, Customer Engagement, Digital Commerce, Innovation, Competitive Advantage.

Small and Medium Scales Business Development Model and Value Chain of Apis mellifera L. Bee Cultivation in Riau Province

Beekeeping practice was an alternative livelihood for communities around forest areas, offering a potential solution to reduce conflicts arising from the use and management of this ecosystem. Starting in the COVID-19 pandemic, the government introduced Apis mellifera from Java island into honey production in Sumatra due to its high productivity and adaptability to new environments. Therefore, this research aimed to explore the challenges and develop business models and value chains associated with commercializing Apis mellifera honey. The analysis used a qualitative descriptive method through observation and in-depth interviews with beekeeping entrepreneurs. There were two sales systems. The first was direct from beekeepers, and the second was indirect sales systems facilitated by collectors/industries. The collectors/industries gained a significant profit, approximately IDR. 80,000.00/kg, while beekeepers only received a minimum selling price. Marketing became a significant issue as beekeepers tended to focus more on cultivation efforts, resulting in a simplistic method of honey sales. Consequently, providing maximum economic value to the communities around the forest areas required synergy and assistance from related sectors.

The Use of E-CRM in Controlling and Developing Sales Systems for Cosmetik Stores Success Together

The Use of E-CRM in Controlling and Developing Sales Systems for Cosmetik Stores Success Together

IMPLEMENTASI ENTERPRISE RESOURCE PLANNING ODOO PADA USAHA BATIK MENGGUNAKAN WEB USABILITY

Madura is one of the most famous batik producers, especially in the Tanjung Bumi area, especially at Hj Halimah Batik. There has been no development of information systems regarding websites or sales systems, so there is still a need for development, especially regarding websites, sales and product catalogs using enterprise resources planning (ERP). by using Odoo software. The approach used in conducting this research is using web usability where usability techniques are the level of quality of a system that is very easy to learn and useful in encouraging users to use the system as a useful tool for now and in the future. The aim of this research is to conduct an explanation of the business processes carried out by Hj Halimah Batik, as well as create a useful system to facilitate the business carried out, especially in sales and warehouse management and ensure user satisfaction

Penerapan Sistem Point Of Sale Berbasis Android Untuk Peningkatan Kinerja Usaha

Micro, Small and Medium Enterprises in Presidential Decree No. 99 of 1988 are small-scale people's economic activities with business fields that are mostly small business activities. However, in MSMEs, there are several types of obstacles including data collection of stock of goods, transaction reports and financial statements that are not effective and efficient. Therefore, researchers want to change the way store management uses modern methods by designing a point of sale system as an android-based platform for MSMEs Established Stores. Point of Sales systems help various retail businesses make buying and selling transactions quickly, safely, and systematically. POS also includes modern cash registers commonly used in some stores or businesses. The design of this system uses technology from Firebase, namely the Realtime Database feature. The result of this study is an android-based point of sale application. Point of sale applications can simplify the management process at Established Stores. This can be seen from the system testing with the blackbox method which gets good results and all functions run well

Community-based management for low-digitalized communities using cross-cutting purchasing behavior

The need for community-based management to revitalize the economy of commercial areas by using consumer behavior analysis focusing on transactions has increased. Low-digitalized shopping communities, commercial communities that include retailing that have not introduced digital technologies, require community-based management using consumer behavior analysis. However, low-digitalized shopping communities cannot collect cross-cutting consumer behavior data using digital technologies such as point of sales (POS) systems. This difficulty obscures the novel management potential of applying such customer behavior analysis to community-based management. Our study aims to bridge the gap between low-digitalized shopping communities and community-based management using customer behavior analysis. To achieve this purpose, this study proposed a novel management approach using data collected using paper-based community currencies and its analysis method. Two field experiments were performed in low-digitalized shopping communities in Japan using two types of community currencies: from-to (FT) and customer attributes (CA). This study illustrated the possibility of community-based management in low-digitalized shopping communities and extending conventional retailing management methods using customer behavior analysis to community-based management.

The future of TV-shopping: predicting user purchase intention through an extended technology acceptance model

The shoppable TV, which allows the purchase of products appearing in TV programmes directly, is a digital trend that is not implemented in most markets, but companies such as Amazon and NBC Universal have proposed the first sales systems. The aim of this research is to forecast the adoption intention of this technology by applying the Technology Acceptance Model. Structural equation modelling (PLS-SEM) has been applied to a sample of 283 participants. The results indicate that shopping enjoyment is particularly important in generating attitudes toward this type of consumption, and this increases the intention to use Shoppable TV.

Evaluasi Sistem Informasi Akuntansi Penjualan Terhadap Pengendalian Penerimaan Kas Pada PT. IMS Di Surabaya

This research was conducted at PT. IMS is a moving company Distributor of traditional herbal medicine. The purpose of conducting research This is to analyze the sales accounting information system against. Cash receipts to reduce errors that occur. The data used will be analyzed by qualitative methods, namely analysis Descriptive which uses a description to support the analysis with ffocuses on the problems that occur in detail and only using descriptive explanations in the form of sentences. Data collection technique. The method used is by way of interviews with the head of division and oobserving company activities based on research conducted at the company. The discovery of several problems, namely credit sales systems and procedures as well the recording of accounts receivable is not systematic. So there is some confusion between receivables that have been paid and those that have not been paid. System maintenance expected to expedite the company’s operational activities and minimize mistakes that can harm the company.

TINJAUAN HUKUM EKONOMI SYARIAH TERHADAP BAI’ AL-TAWARRUQ PADA JUAL BELI PADI (GABAH) DI DESA SELAT KECAMATAN NARMADA

This research is motivated by the Bai' Al-Tawarruq system whose permissibility is still being debated by scholars, but this system is still widely used in payment for buying and selling rice (grain) so it is important to study and provide perspective. There are 2 characteristics of Bai' Al-Tawarruq, namely Tawarruq Fiqhi/Haqiqi and Tawarruq Munazzam and in the context of Tawarruq what is allowed is Tawarruq Fiqhi where the transaction process is not planned in advance while in Tawarruq Munazzam the transaction process is planned forward and this is not allowed. This study aims to analyze and find out the review of sharia economic law on the practice of Bai' Al-Tawarruq in buying and selling rice (grain). The type of research used is qualitative research that is normative empirical with the type of data source using primary data, namely respondents and social phenomena and secondary data sources using literature, documents and manuscripts and data collection methods in the form of observation, interviews and documentation. The data analysis technique uses data triangulation with the theory of Milles and Hubermant. The results showed that (1) there are 2 sales systems used in buying and selling rice (grain), namely (a) buying and selling with rice still in the fields and (b) buying and selling with rice seeds that have been weighed. Then there are 2 payment systems, namely (a) paid directly/cash (b) paid indirectly/debt. Then the factors causing the debt payment system to be used are (a) farmers and buyers (penendak) know each other well (b) at the time of the transaction the farmers did not need money/were not going to work on their fields yet, (2) the law from bai' al-tawarruq was still debated by the scholars', the Shafi'i school allows it and some Maliki schools do not allow it. After the researcher analyzed the practices that occurred in Selat Village with the law from Bai' Al-Tawarruq, the researcher found results that the practices that occurred in Selat Village were included in the practice of Bai' Al-Tawarruq fiqhi and the law was permissible.

Design and Development of a Smart POS App with Cloud

Abstract: The retail industry is becoming increasingly competitive, and businesses must keep up with the latest technological advancements to stay ahead of the curve. This research paper explores the benefits of a smart POS application integrated with cloud technology. The paper discusses the current state of the retail industry, the challenges facing retailers, and the potential benefits of using a smart POS application. The literature review of smart POS systems, the design and development process, and the outcomes and discussion of the application’s implementation are all included in this paper. Despite the potential benefits of digital point-of- sale (POS) systems, small businesses in India have been slow to adopt this technology. This paper aims to identify the factors that affect the adoption of digital POS systems in Indian small businesses. A survey was conducted with 167 small businesses across different industries in India. The results showed that factors such as cost, perceived usefulness, compatibility with existing systems, and complexity of the technology were the primary barriers to adoption. On the other hand, factors such as perceived ease of use, vendor support, and trial ability were identified as the primary drivers of adoption.

Fraud Resistant Off-Line Card Micropayments Using FRoDO and PUF

The internet payment system, which is a widespread cybercrime, is a major issue nowadays. Attackers concentrate on point of sale (POS) systems, the point at which a bank or merchant initially obtains customer information, with the goal of stealing confidential customer information. Effective computer systems with a card reader and specialised software are POS architectures. In this situation, the attacker might utilise malicious software (MS) to steal card statistics. If the customer and the supplier are consistently cut off from the network in, no online payment is practical. If the community fails, attacker's side will attempt to steal the password from the users throughout the price, therefore a safe online transaction price may not be achievable. Due to the PoS information breaches, we recommend an offline micro-fee solution that is secure and protects privacy for the persistent attackers in our paper. We use the FRoDO protocol to make the payment simple and secure from attackers. This protocol not only checks the client's coins but also confirms the client's identity by using identification details. This protocol increases flexibility and security and boosts the device's efficiency by infusing a comfortable micro-charge between the client and carrier.

Website-Based E-Pharmacy Application Development toImprove Sales Services Using Waterfall Method

An online shop is a way of trading and shopping online via the internet. Online sales in the business sector will significantly help reduce operational costs, especially for customer activities; in its contribution to commerce, online sales can also increase selling power and widely facilitate the marketing of a product. “Seger Waras” Pharmacy is an agency engaged inthe business of selling medicines and medical equipment. “Seger Waras” Pharmacy requires an online sales website or online store, which is intended to maximize service to existing or new customers. Therefore, the authors research the design of web-based drug sales systems at the “Seger Waras” Pharmacy. This study aims to increase the revenue of the relevant agencies and provide complete information about drug use to customers. Data collection methods use observation and interview methods for system modelsusing Data Flow Diagrams, Entity Relationship Diagrams, and Context Diagrams. The software used by MySQL as a database server, Apache as a web server, Sublime Text 3 for writing PHP and HTML programming languages, and Bootstrap as a framework. The result of the system that has been completed is an online store application that makes it possible to selland purchase drugs online; the online shop at the “Seger Waras” Pharmacy can increase sales turnover and promote business.

Palm Sugar Business Development in Temon Village, Arjosari District, Pacitan Regency

In business development, the right strategy is needed so that the business runs perfectly. However, the development of the sugar business has not implemented a good strategy, which is shown in the production process that has not made product variants and promotions are still simple. So a strategy is needed in business development to achieve the goal. The purpose of this study was to determine the development of palm sugar business in Temon village, Arjosari district, Pacitan district, to determine the factors that influence palm sugar business, and to determine the impact of business development on increasing palm sugar production in Temon village, Arjosari district, Pacitan district. This study uses a qualitative method. This type of research is field research (field research). Data collection techniques are from interviews, observation, and documentation. The results of this study are: 1) Development of palm sugar business in the village, namely developing the market for products, sales systems, and developing markets with synergy. However, only the strategy of developing the market with synergy is maximally applied to the palm sugar business. The palm sugar business also applies business development in Islam which includes: honesty, sincerity, professional friendship, holy intentions and worship, and paying zakat, infaq, and sadaqah. 2) The factors that influence the development of the sugar business include: opportunity factors, planning factors, management factors, and marketing and sales factors. 3) business development in Temon village can increase palm sugar production and make a good contribution to craftsmen, this is evidenced by the increase in palm sugar production over the past year, which is 2-7 kg/month.

Implementation Of Teak Furniture Sales Information System In Mass Furniture Shop

The rapid development and growth of information technology has a positive impact on agencies engaged in industry, sales, and services. Currently, sales are no longer carried out by sellers and buyers who meet face-to-face at the point of sale. Sales can already be done without having to go to the point of sale, and the seller and the buyer do not have to meet in person. Sales systems such as utilizing internet services for buying and selling online This research was conducted at the Mass Furniture Store using a field research methodology and library research. The Mass Furniture Shop is a shop that sells teak furniture. In selling furniture, it turns out that the shop has problems providing information to the public about the activities that exist in the store. Data processing is still done manually, or, in other words, there is no special program designed to process sales data, so the preparation of sales reports often experiences delays. The Mass Furniture Store's website design for socialization media, ordering media, and online sales media is built with the PHP programming language and MySQL database, and it is expected to optimize product sales, facilitate sales transactions, and make data processing faster, more precise, and more efficient. With the design of the website as a medium for socializing, selling, and ordering goods online, it can provide convenience for users, both the general public and customers, to get to know the Mass Furniture Store more easily, closely, and without being limited by space or time.