Record Transactions Research Articles

Training on Data Implementation From Transactions to Financial Reports at CV Geha Pratama

The socialization of the company's simple financial report is very much needed by many people, especially for the owner of the company as the initiator, the bank as the credit provider, and the government that provides facilities for the arrangement of laws and regulations, where each party has its own interests. Investors want to know the benefits of investment, banks want to know the level of security of loans provided and smooth returns, and the government is more focused on the benefits of these investments for the economy and equal distribution of employment opportunities. Application of financial reports regarding various transactions starting from identification and recording of transactions, recording transactions through general journals, posting ledgers, and transferring to trial balance. Until a company's financial statements are created. Financial reports The results can be used to make decisions about whether the business being run experiences a profit or loss, as well as an evaluation material for ongoing businesses, whether the financial records made are correct or not. In general, this business can be said to still use the traditional way of recording financial statements. Therefore, socialization and training are needed about the importance of recording financial statements in a company in a simple way.

Enhancing Industrial IoT Security: Utilizing Blockchain-Assisted Deep Federated Learning for Collaborative Intrusion Detection

The Industrial Internet of Things (IIoT) is a rapidly evolving features with multiple applications, including critical infrastructure. Privacy policies are required to preserve the protection of user data in the threat intelligence community. Blockchain is a modern technology which used recently to provide more secure storage and efficiency. In this research, Blockchain Assisted Deep Federated Learning (BC_DFL) system is used to detect intruders. The three key processes used in the proposed intrusion detection architecture are data collection, pre-processing and intrusion detection. Data normalization, reduction, cleaning and transformation are used in pre-processing to remove extraneous information and improve data quality. This pre-processed data is sent to the Blockchain Assisted Deep Federated Learning (BC_DFL) system for intrusion detection. To detect intruders, the federated learning-based Capsule Auto-Encoder (FL_CAE) architecture first learns the properties from the inputs. Blockchain technology (BCTech) is not only used for storage but also improves security by eliminating the possibility of threatening node and individual server failure. The ToN_IoT and UNSW-NB15 data sets are used in the implementation and performance evaluation study. The proposed model is evaluated using existing in the Results section. In the UNSW-NB15 dataset, proposed model achieved an accuracy, precision, recall and F1 score of 97.26%, 97.28%, 96.89% and 96.96% respectively as well as in ToN_IoT data set proposed model achieved an accuracy, precision, recall and F1 score of 95.74%, 99.54 %, 99.49% and 99.24%, respectively. The execution of the proposed approach takes 2.31 seconds in the UNSW-NB15 dataset and 1.66 seconds in the ToN_IoT dataset. Blockchain offers a transparent and impenetrable ledger for transaction recording and verification. Within the framework of cooperative intrusion detection, it guarantees a secure and reliable exchange of threat intelligence and detection models between various users of IIoT ecosystem.

User Interface User Experience Design with User Centered Design Method On Mobile Application For Laundry KK Reservation

Laundry KK is a business that offers kilogram laundry services established since November 2007, located at Jl. Kejaksaan No. 229A, Pondok Bambu East Jakarta, which provides several services such as dry cleaning, dry cleaning + ironing, bedsheet washing, and shoe cleaning. Currently, the service booking process at Laundry KK is still done manually, where customers have to visit the location to place their laundry orders. With the manual method, there are often issues such as missing or damaged laundry receipts, clothes being mixed up or lost due to transaction recording errors, and the business owner being unable to effectively track the transactions in the business. This research proposes the development of a user interface user experience (UI/UX) to simplify the process for the owner and users of Laundry KK services in creating an attractive interface design that captures the attention of consumers, providing an engaging user interface that makes it easy and interactive to book Laundry KK services. The end result of this research is the Prototype of the Laundry KK Ordering Application created using Figma, with the content features, menus, buttons, and text using the "Roboto" font. The design results were then subjected to a final evaluation with an average SUS score of 87.75, rating it as "Best Imaginable."

Blockchain technology as a paradigm shift in banking security: Theoretical and practical insights

This paper explores the theoretical underpinnings of blockchain technology and its practical applications in enhancing banking security. The financial landscape is experiencing a seismic shift as disruptive technologies like blockchain emerge. Blockchain, with its core tenets of decentralization, immutability, and transparency, offers a transformative approach to banking security. This paper delves into the theoretical foundations of blockchain and explores its practical applications in bolstering bank security. Theoretical Underpinnings at its core, blockchain is a Distributed Ledger Technology (DLT). Imagine a digital record of transactions, not held by a single entity, but replicated and synchronized across a vast network of computers. This distributed nature eliminates the need for a central authority, fostering trust and transparency within the system. Cryptographic hashing adds another layer of security. Each transaction on the blockchain is cryptographically hashed, generating a unique fingerprint. This fingerprint is linked to the previous transaction's hash, creating an immutable chain of blocks. Any attempt to tamper with data would invalidate the entire chain, ensuring the integrity of every transaction. Consensus mechanisms play a vital role in ensuring network agreement. These mechanisms, like Proof of Work or Proof of Stake ensure all participants on the network agree on the validity of transactions and the current state of the ledger. Practical Applications in Banking Security, Traditional banking systems rely on centralized ledgers, susceptible to fraud and manipulation. Blockchain disrupts this paradigm by offering, Enhanced Transaction Security, by eliminating intermediaries and using cryptography, blockchain significantly reduces the risk of fraud and errors in financial transactions. The immutable nature of the ledger ensures transactions cannot be reversed or altered once recorded. Streamlined Regulatory Compliance, regulatory compliance is a constant challenge for banks. Blockchain simplifies the process by providing an auditable and transparent record of all transactions

A blockchain AI solution to climate change

Background: Climate change represents a critical global challenge, hindered by skepticism towards data manipulation and politicization. Trust in climate data and its policies is essential for effective climate action. Objective: This perspective paper explores the synergistic potential of blockchain technology and artificial intelligence (AI) in addressing climate change and how their integration can enhance the transparency, reliability, and accessibility of climate science. Methods: The paper analyzes the roles of blockchain technology in enhancing transparency, traceability, and efficiency in carbon credit trading, renewable energy certificates, and sustainable supply chain management. It also examines the capabilities of AI in processing complex datasets to distill actionable intelligence. The synergistic effects of integrating both technologies for improved climate action are discussed alongside the challenges faced, such as scalability, energy consumption, and the necessity for high-quality data. Results: Blockchain technology contributes to climate change mitigation by ensuring the transparent and immutable recording of transactions and environmental impacts, fostering stakeholder trust, and democratizing participation in climate initiatives. AI complements blockchain by providing deep insights and actionable intelligence from large datasets, facilitating evidence-based policymaking. The integration of both technologies promises enhanced data management, improved climate models, and more effective climate action initiatives. Conclusion: The integration of blockchain technology and AI offers a transformative approach to climate change mitigation, enhancing the accuracy, transparency, and security of climate data and governance. This synergy addresses current limitations and futureproofs climate strategies, marking a cornerstone for the next generation of environmental stewardship.

Suraksha: Health Insurance Claim Analysis Web Portal

The arrival of the digital era has made almost all the sectors of a country paperless. The Internet is used to grow the business and is also used to ease out the various processes which were earlier considered to be tedious. Most of the banks, financial institutions, government etc. have reduced over the window transactions and emphasize on online transactions. This has aided in keeping a thorough record of various transactions and has improved the efficiency tremendously. Most of the insurance companies are offering policies online and the premium can also be paid without the involvement of any third party in between. This saves time and allows both ends a hassle-free experience. Nowadays, most of the health centres or hospitals have started using the same digital techniques in-order to maintain the records of patients and their health insurance policies. The proposed system focuses on the digitization of the health and insurance sector which will reduce the burden on the patients and make it easy for the various other stakeholders to analyze and process them simultaneously. The analysis will be based on the criterions such as age, gender, hospital, status of remittance advice across various hospitals of various countries in different years etc. With the analysis we aim to identify the strata which meet our criterion i.e. whose remittance advice is rejected.

Designing an Intelligent Scoring System for Crediting Manufacturers and Importers of Goods in Industry 4.0

Background: The modern credit card system is critical, but it has not been fully examined to meet the unique financial needs of a constantly changing number of manufacturers and importers. Methods: An intelligent credit card system integrates the features of artificial intelligence and blockchain technology. The decentralized and unchangeable ledger of the Blockchain technology significantly reduces the risk of fraud while maintaining real-time transaction recording. On the other hand, the capabilities of AI-driven credit assessment algorithms enable more precise, effective, and customized credit choices that are specifically tailored to meet the unique financial profiles of manufacturers and importers. Results: Several metrics, including predictive credit risk, fraud detection, credit assessment accuracy, default rate comparison, loan approval rate comparison, and other important metrics affecting the credit card system, have been investigated to determine the effectiveness of modern credit card systems when using Blockchain technology and AI. Conclusion: The study of developing an intelligent scoring system for crediting manufacturers and importers of goods in Industry 4.0 can be enhanced by incorporating user adoption. The changing legislation and increasing security threats necessitate ongoing monitoring. Scalability difficulties can be handled by detailed planning that focuses on integration, data migration, and change management. The research may potentially increase operational efficiency in the manufacturing and importing industries.

Inventory Management System for MSMEs

This inquire about points to create a web-based stock framework that centers on reasonableness, user-friendliness, and usefulness custom-made to desires of Miniaturized scale, Little, and Medium Ventures (MSMEs). Through in-depth analysis of MSMEs' specific inventory management requirements, the system not only provides a comprehensive solution for stock management but also integrates the Apriori algorithm for associative analysis of inventory data. The system's development adopts an Agile approach, allowing flexible adaptation to changing needs throughout the development process. Key features include efficient stock management, intuitive Point of Sales (POS) transaction recording, and customizable inventory reporting. The implementation of this system is expected to enhance MSMEs' efficiency in inventory management, provide insightful data to support more informed decision-making, and positively contribute to strengthening competitiveness and growth in the dynamic and competitive business environment.

E-Voting System: Applied Blockchain Concept for Implementation

One framework that lowers the proportion of abstention and guarantees security against vote tampering is the electronic voting system. Blockchain is a distributed, decentralized ledger that is used to efficiently and verifiably record transactions. Voter fraud is prevented by integrating Aadhar into the electronic voting system. With the use of voter’s VIDs (virtual IDs) that are gathered from the Aadhar database and biometric information, the proposed scheme offers a secure electronic voting method. The digital signature is used as the key to encrypt the votes within the block. Due to the present surge in interest in the use of blockchain technology for several applications, including identity, money, and healthcare, more attention has been paid to the legal ramifications of this technology than to its usefulness in administration. Thus, to eliminate the drawbacks of the current Indian voting system, and provide a better, more dependable, safe, and transparent form of public governance, we can create an application utilizing blockchain as an effective option for public voting. Blockchain technology is a means of governance, not only an object of regulation and governance. The powerful cryptography used by these technological elements offers a security level that is on par with or higher than any database that has ever been known

Multiscale Feature Fusion and Graph Convolutional Network for Detecting Ethereum Phishing Scams

With the emergence of blockchain technology, the cryptocurrency market has experienced significant growth in recent years, simultaneously fostering environments conducive to cybercrimes such as phishing scams. Phishing scams on blockchain platforms like Ethereum have become a grave economic threat. Consequently, there is a pressing demand for effective detection mechanisms for these phishing activities to establish a secure financial transaction environment. However, existing methods typically utilize only the most recent transaction record when constructing features, resulting in the loss of vast amounts of transaction data and failing to adequately reflect the characteristics of nodes. Addressing this need, this study introduces a multiscale feature fusion approach integrated with a graph convolutional network model to detect phishing scams on Ethereum. A node basic feature set comprising 12 features is initially designed based on the Ethereum transaction dataset in the basic feature module. Subsequently, in the edge embedding representation module, all transaction times and amounts between two nodes are sorted, and a gate recurrent unit (GRU) neural network is employed to capture the temporal features within this transaction sequence, generating a fixed-length edge embedding representation from variable-length input. In the time trading feature module, attention weights are allocated to all embedding representations surrounding a node, aggregating the edge embedding representations and structural relationships into the node. Finally, combining basic and time trading features of the node, graph convolutional networks (GCNs), SAGEConv, and graph attention networks (GATs) are utilized to classify phishing nodes. The performance of these three graph convolution-based deep learning models is validated on a real Ethereum phishing scam dataset, demonstrating commendable efficiency. Among these, SAGEConv achieves an F1-score of 0.958, an AUC-ROC value of 0.956, and an AUC-PR value of 0.949, outperforming existing methods and baseline models.

PENERAPAN SISTEM INFORMASI AKUNTANSI BERBASIS MICROSOFT EXCEL PADA UMKM TELLU SILO’ DI KABUPATEN SINJAI

This research aims to apply a Microsoft Excel-based information system to Tellu Silo' MSMEs to support business development in accordance with accounting reporting. The data collection methods used were interviews and documentation. The data analysis design used in this research is descriptive qualitative. The population in this research is Tellu Silo' MSMEs in Sinjai Regency. The sample in this research is data on cash receipts and disbursements at Tellu Silo' MSMEs in 2022. The results of research on Tellu Silo' MSMEs are that they do not always record transactions that occur and the recording is still done manually and simply. This will cause problems with financial reports such as cash received not being in accordance with recording, losses, etc. With this SIA, researchers hope that it can help facilitate the recording and presentation of financial reports.

Developing Business Process and Query Skills for Solving Business Problems

ABSTRACT This case offers learning experiences for (1) following a business process diagram for car dealers’ recording of sales and sales returns of new cars and the car manufacturer’s subsequent recording of the same transactions and (2) querying a database to determine why dashboards maintained by the dealers and the manufacturer do not always agree. Scaffolding resources (videos and script with screenshots) enable learners with no querying experience to work the case as they develop basic query skills. For learners with query skills, the case (without scaffolding resources) can be used as a data analysis project covering all major query operations. The data can be queried in any structured query language (SQL) platform. The case offers practice and quiz questions for assessing business process skill and the query skills of joining tables, aggregating data, setting criteria, using built-in functions, developing expressions, and verifying query correctness.

Applications of Blockchain in Tourism Industry

Tourism is a rapidly growing industry, even after seeing some drop back during the last few years due to COVID-19. The latest trend shows that it is gaining its position again to become a booming industry of the century, but as the industry gains pace, it faces several challenges that require modern solutions. With the coming up of new technologies, blockchain technology has gained rapid attention not only since it maintains a secure and decentralized record of transactions across the world but also due to its safe access to identifying data while enhancing accessibility for individuals in need in sectors like banking, travel, healthcare, and education. The current tourism industry fails the tourist by not providing a decentralized payment system for advance booking of hotels and vehicles, and the foreign tax required for such transactions increases the further cost for a tourist. With no real-time luggage tracking available, tourists are always on the lookout for their luggage. Blockchain technology improves the accuracy and reliability of baggage mishandling coding by providing a decentralized, tamper-proof record of all baggage handling events. If blockchain technology is incorporated into the tourism industry, many issues in the industry get solved, and it can grow more rapidly, helping economies all over the world by providing smart solutions to difficult problems and thus improving the experience of tourists by providing safety, a decentralized payment system, preventing fraud, and enhancing security by securing the data from unauthorized access. This research helps in further identifying the problem in the tourism industry and solving it by implementing blockchain technology, thus improving economies relying on the tourism industry.

A New Blockchain-Based Medical Model for Smart Hospital Integrity Management of the Drug Supply Chain

Counterfeit medications are currently one of the biggest issues in pharmacology. According to a research from the Health Research Funding organization, between 10–30% of pharmaceuticals in underdeveloped nations are counterfeit. The primary problem is not in counterfeiting per such, but rather in the fact that these pharmaceuticals have distinct adverse consequences on human health when compared to regular drugs. The WHO estimates that over 30% of all medications sold in Latin America, Asia, and Africa are fake. This is the main issue facing the entire world, and things become worse in underdeveloped nations where one in ten medications are either counterfeit or do not adhere to drug standards. It is becoming increasingly challenging to standardize drug safety due to the growth of online pharmacies. It is challenging to identify fakes. The safety of the pharmaceutical supply chain is becoming a serious public health concern, a process that affects all of us. In this work, we present a new approach to medication supply chain management that handles safe drug supply chain data using Hyperledger Fabric, a blockchain-based platform. By implementing drug record transactions on a blockchain, a drug supply chain and smart healthcare ecosystem may be constructed. The suggested method addresses this issue. To allow for time-limited access to patient health information and electronic prescription records, a smart contract has been introduced.

Exploring the Potential Applications of Blockchain Technology in Accounting Practice: A Systematic Literature Review

This study aims to examine the potential of blockchain technology in revolutionizing conventional accounting processes and mitigating persistent inefficiencies and problems. This study introduces the potential of blockchain technology to revolutionize conventional accounting processes and address persistent inefficiencies and challenges. By employing a rigorous search methodology, establishing specific criteria for selection, and conducting meticulous data analysis, this paper presents significant discoveries pertaining to the implementation of blockchain technology in the field of accounting. The results suggest an increasing fascination with the potential of blockchain technology to bring about a transformative impact on the accounting sector. The use of blockchain technology in the field of accounting encompasses several areas such as the recording of transactions, automation of accounting operations, and enhancement of auditing procedures. Application of this technology contributes to the improvement of transparency, integrity, and efficiency in financial reporting. However, for widespread adoption to occur, it is imperative to overcome many difficulties like standardisation, interoperability, scalability, legal compliance, and data protection. The study emphasizes the importance of investigating the possibilities of blockchain technology in the field of accounting to address conventional accounting obstacles. The findings of this study may be utilized by researchers to discover potential areas for further research. Additionally, practitioners can acquire valuable insights into the advantages and difficulties associated with implementing these findings.

Supply Chain Management in Agriculture using Blockchain

Block chains are now firmly established as a digital technology that combines cryptographic, data management, networking, and incentive mechanisms to support the verification, execution, and recording of transactions between parties. While block chain technologies were originally intended to support new forms of digital currency for easier and secure payments, they now hold promise as a new foundation for all forms of transactions. Agribusiness stands to become a key beneficiary of this technology as a platform to execute ‘smart contracts’ for transactions, particularly for high-value produce. First it is important to distinguish between private digital currencies and the distributed ledger and block chain technologies that underlie them. The distributed and cross- border nature of digital currencies like Bit coin means that regulation of the core protocols of these systems by central banks is unlikely to be effective. Monetary authorities are focused more on understanding ‘on-ramps’ and ‘off-ramps’ that constitute the links to the traditional payments system rather than being able to monitor and regulate the currency itself. In contrast to the digital currency feature of block chain, the distributed ledger feature has the potential for widespread use in agribusiness and trade financing, especially where workflows involve many different parties with no trusted central entity

Is decentralization sustainable in the bitcoin system?

The Bitcoin system is a decentralized monetary system in that any participant can potentially verify and record transactions onto a public ledger. Using a simple model, we show that the number of miners could be negatively (positively) related to the expected rewards if miners with low-operating costs also have less (more) severe financing constraints. We characterize the possibility of miners with low-operating (high-operating) costs facing less (more) severe financing constraints as large-size (small-size) miners. The empirical evidence supports the model's large- and small-size miner characterization prediction. The negative association between the number of miners and expected rewards is attributable to Bitcoin's exchange rate. Collectively, our evidence suggests that even though the Bitcoin system is designed as an egalitarian system, it is likely to evolve into a near-centralized system because of economic forces.

Web-Based Pharmacy Cashier Application Development Design

The cashier system at Arca Mandiri Pharmacy still uses manual transaction recording services; namely, the cashier uses recording transaction calculations in the sales transaction logbook and manually records drug stock in the drug stock book. This results in less effective and efficient recording of transactions and the stock of medicinal goods. Facilities and services to cashiers are expected to be provided more effectively and efficiently using a web-based cashier application so that it will improve service in transactions for customers. The system development method used is a waterfall model approach with four stages, namely analysis, design, code, and testing. The web-based cashier application implementation model allows the system to be used by cashiers and administrators with its advantages, namely automatically calculating the total amount of drug order prices in sales transactions, stock calculations, and routine transaction reports. The Cashier Application implemented at the website-based Arca Mandiri Pharmacy helps facilitate sales transactions, processing drug stock data, and printing reports that can be done quickly so that it is more efficient and effective in service.

School-Based Financial Management in Improving the Quality of Junior High School Education in North Penajam Paser

This research analyzes the relationship between school-based financial management and the quality of educational services in secondary schools in Penajam Paser Utara. A qualitative approach using a case study method is employed to gain an in-depth understanding. Primary and secondary data were collected through interviews with school principals, treasurers, and teachers. Data analysis was conducted using an interactive model, involving organization, correlation, reduction, presentation, and conclusion drawing. The findings indicate that financial planning begins by identifying the sources of school income, such as Operational Assistance for Schools, Regional Operational Assistance for Schools, School Canteen, Endowments, School Housing Assets, and School Cooperatives. The formulation of the School Budget Plan is carried out through meetings to develop school programs. Fund allocation takes into account priority programs, and the organization of financial management involves consensus in forming personnel for school financial execution. School principals build effective relationships among personnel through the delegation of tasks. The implementation of school-based financial management involves expenditure procedures aligned with planning and transaction recording for accountability. Supervision is carried out through monthly financial report examinations, appreciation for successful actions, and accountability through accountability letter reports and audit results. Financial reporting and accountability are publicized on the school information board to demonstrate the overall effectiveness and accountability of the financial management process.

MATERIAL INVENTORY INFORMATION SYSTEM AT UD. ALAM RAYA WEB-BASED USING THE WATERFALL METHOD

UD. Alam Raya is a trading business engaged in the sale of building materials. UD. Alam Raya provides various types of building materials such as wood, nails, cement, iron, electrical tools, pipes, glue, and other building materials. In processing inventory and finances are still not computerized. Recording of sales transactions and purchases of goods is still done manually on notes and large sheets of paper grouped by transaction date. Recording on paper media is less effective because when the paper is exposed to water, the writing on it also fades, hindering the process of making financial reports. Based on these problems, a computerized building material inventory information system is needed in order to facilitate sales and purchase data processing as well as financial reports at UD. universe. This study uses qualitative research methods and the waterfall software development method, as well as the PHP (Hypertext Preprocessor) programming language using the CodeIgniter framework. This research succeeded in designing and creating a building material inventory information system at UD. universe. The benefit of this building material inventory information system is that it makes it easier to make purchase reports, sales reports, and financial reports at UD. universe