Business Data Processing Research Articles

Optimization of High-Frequency Trading Strategies Using Deep Reinforcement Learning

This study presents a new method for optimising high-risk trading (HFT) strategies using deep learning (DRL). We propose a multi-time DRL framework integrating advanced neural network architectures with sophisticated business data processing techniques. The framework employs a combination of convolutional neural networks for manual order analysis, short-term memory networks for time series processing, and a multi-head listening mechanism for body fusion. We formulate the HFT problem based on Markov Decision Processes and use the Proximal Policy Optimization algorithm for training. The model is evaluated using tick-by-tick data from the NASDAQ exchange, including ten liquid stocks in 6 months. The experimental results show the superiority of our method, achieving a Sharpe ratio of 3.42, outperforming the learning model and machine learning based on benchmarks up to 33%. The proposed strategy has demonstrated strong performance across a wide range of regulatory markets and has shown potential for strategic objectives. Sensitivity analysis confirms the model's stability across a range of hyperparameters. Our findings suggest that the DRL-based approach can improve HFT performance and provide better market adaptation and risk management. This research leads to the continuous evolution of algorithmic trading strategies and shows the potential of AI-driven approaches in financial markets.

Implementation of Medical Record Application for Patient Registration Data Management at Pagar Jati Health Center

advancement in health services that help improve the quality of health systems worldwide, including Indonesia. Electronic Medical Records (EMR) applications have been useful for improving the efficiency and quality of health services in the health industry. The use of medical applications is a global trend, and electronic medical records are believed to be able to improve the quality of health information services. Improving access and quality of patient services is very important for health organizations such as health centers, so data management is an important solution in improving efficiency. The development of the Medical Record Application at Pagar Jati School is a high priority initiative that aims to provide a system that is capable of handling patient data. Based on the findings of the health center accreditation process in 2016, the service of raw materials, both in-hospital and out-of-hospital raw materials, has been implemented in accordance with the health center supply management standards. The use of information systems is encouraged to improve efficiency. This includes documentation of patient symptoms and the speed of treatment delivery, as well as the accuracy of information obtained from patient registration to initial treatment. To ensure that all anticipated goals and outcomes are achieved, direct monitoring and support will be used in the final stage to evaluate each step of the work process. The Medical Record Application is expected to increase the efficiency of administrative data processing in terms of speed and accuracy of the data produced as well as reduce operational costs, minimizing the possibility of data loss and damage.

Analisis Dan Perancangan Sistem Informasi Untuk Meningkatkan Efisiensi Pengelolaan Data Administrasi

The application of information systems in the current era of digitalization is very important for data management in a company, both in the government and private sectors. This research aims to analyze and design information systems to improve the efficiency of administrative data management in the Office of the Governor of North Sumatra. With the lack of application of information systems in the Office of the Governor of North Sumatra, this research is important to support administrative processes and data processing efficiency. The research method includes interviews with related parties, observations, and direct surveys to the field to understand the administrative process of the obstacles faced. Furthermore, a website-based information system solution will be proposed that can improve the efficiency, speed and accuracy of administrative data management in the Office of the Governor of North Sumatra. The results of this research are expected to provide an in-depth description of how the implementation of the right information system can optimize administrative data management. The implementation of this solution is expected to provide significant benefits in improving administrative performance and opening up opportunities for further application of information technology in the local government environment.

SISTEM INFORMASI AKADEMIK PADA MTS S NURUNNAJAH LOPAK AUR

With the goal of improving academic data management in decision-making in the educational environment, the Academic Information System is an application created for school administrative data processing needs. The waterfall technique will be used in this project to create a web-based academic information system for schools. It is believed that the creation of a web-based Siakad application will make it easier to manage academic data and make it even more efficient. On this web-based academic application, students can more quickly access and read grades as well as details about school events. It can be used at the school where the author conducts research as well as other schools that require it.

Pelatihan Penggunaan Formulasi Excel Untuk Pendataan Administrasi Pada UKKT Mampang Prapatan Jakarta

The use of computer applications almost all office work requires it.The development of technology, especially computer applications today is very helpful in administrative data processing, so that the data obtained can be arranged neatly and easy to understand. One of them is administrative data processing at UKKT RW.06 which requires an application that supports so that the data displayed can be understood because currently some of the administrative data displayed is still fairly manual, use of Microsoft Office applications, especially Ms. Excel on Coral data processing. The cadets are still not being used optimally because some of the Karang Taruna administrators still do not understand the use of the application used. Microsoft Excel itself is a software application that is used to process, store, and combine data in the form of formulas. Data that can be processed, namely, digital data in the form of calculation results and diagrams. This software has a special role in office area. Matters related to office data will be processed as well stored briefly and in detail in Microsoft Excel. The method used in provide education about the basic use of formulas in Microsoft Excel carried out by holding workshops on community service activities so that participants consisting of Karang Taruna administrators who will process administrative data UKKT RW.06 will be more familiar with the use of the Microsoft Excel Application for help process administrative data to make it more neat and easy to understand.

Training Basic Microsoft Office Dalam Mengelola Administrasi Pada Yayasan Kopia Raya Insani

In the current era, the use of computer applications almost all office work requires it. The development of technology, especially computer applications at this time is very helpful in processing administrative data, so that the data obtained can be arranged neatly and easily understood. One of them is administrative data processing at the Kopia Raya Insani Foundation which requires applications that support so that the data displayed can be understood because at this time some of the administrative data displayed is still fairly manual, the use of Microsoft Office applications in Foundation data processing is still not optimally used due to several reasons. Foundation administrators still do not understand the use of the application used. Microsoft office itself is a software application that is used to process, store, and combine data in the form of documents. The data that can be processed are digital data in the form of letters, pictures and numbers. This software has a special role in the office sector. Matters related to office data will be processed and stored briefly and in detail in Microsoft Office. The method used in providing education regarding the basic use of Microsoft Office is carried out by holding workshops on community service activities so that participants consisting of foundation administrators who will process the foundation's administrative data will be more familiar with the use of Microsoft Office applications to help process administrative data to make it more neat and tidy. easy to understand.

Sentiment Classification of Over-Tourism Issues in Responsible Tourism Content using Naïve Bayes Classifier

The research problem addressed in this study is the analysis of public sentiment regarding over-tourism issues. Utilizing the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology and the Naive Bayes Classifier (NBC) algorithm, the study navigates through stages of business understanding, data processing, modeling, evaluation, and deployment. The central focus lies in understanding and classifying public sentiments surrounding the challenges associated with over-tourism. The findings reveal that the NBC algorithm, particularly when augmented with Synthetic Minority Over-sampling Technique (SMOTE), demonstrates superior performance metrics, showcasing an accuracy of 84.82%, precision of 91.69%, recall of 76.75%, f-measure of 83.47%, and AUC of 0.838. The comparison with NBC without SMOTE, which registers an accuracy of 78.16%, precision of 87.61%, recall of 74.56%, f-measure of 80.51%, and AUC of 0.745, underscores the significance of addressing class imbalance for improved predictive performance. Integrating CRISP-DM with the NBC algorithm and SMOTE proves instrumental in advancing sentiment analysis methodologies, providing nuanced insights into public perceptions and attitudes concerning the critical issue of over-tourism.

An Inductive Heterogeneous Graph Recommendation Model for High-Scoring Items Applied to Business Intelligence

Business intelligence (BI), as a system for business data integration, processing, and analysis, is receiving increasing attention from enterprises. Data visualization is an important feature of BI, which allows users to visually observe the distribution and direction of data and assists them in making correct decisions. The core of this feature is visual analysis charts, which need to be pre-created and integrated into the dashboard by the chart makers, so there are situations where user needs cannot be accurately grasped. At the same time, there may be omissions in the work of users, and a method is needed to remind them. Introducing recommendation models into data visualization is a good solution; therefore, this paper proposes a recommendation model suitable for this type of scenario, which recommends high-scoring items (charts) to users. This model consists of a inductive heterogeneous graph recommendation algorithm with user preferences and a slow-acting collaborative filtering method. The experimental results in two datasets showed an improvement of 0.020/0.045, 0.083/0.019 and 0.076/0.023 in Hit, F-score, and NDCG compared to baselines, which proves that it is more suitable for data visualization requirements and other similar scenarios that require inductive recommendations based on user preferences.

ISODUS Application Design for Web-Based School Academic Administration Operational System Information. Case Study: Al Alaq Islamic Middle School

The aim of the research is to support technological independence in educational units in processing data archives and general finances at the Al Alaq Islamic Middle School and what are the obstacles encountered in implementing such a system. In addition, the authors hope that readers can understand the use of this academic administration information system application known as ISODUS. During the research, the authors found that the Al Alaq Islamic Middle School did not have a computerized academic administrative and financial data processing system so that it could help find information quickly and effectively. This is due to the lack of human resources who know about information systems. After conducting some research, the authors conclude that Al Alaq Islamic Middle School requires a computerized system so that it can assist teachers in making administration. The author tries to create an Academic Administration system using the PHP programming language.

Cross-border E-commerce Business Data Processing in the Background of Digital Economy

Abstract This paper analyzes the cross-border e-commerce industry chain, and explores its customer value and impact on marketing strategy through data mining techniques.The whole process data mining methodology of data cleaning, integration, selection, transformation, mining, pattern evaluation and knowledge representation is adopted to deal with the cross-border e-commerce data.This paper focuses on the analysis of the customer value, the construction of the user profile, and the user behavioral patterns based on RFM model.The results show that the customer value is mainly determined by the customer life cycle and the purchase rate. The results show that the customer life cycle and purchase rate mainly determines the customer value of cross-border e-commerce.In the construction of user profiles, the characteristics and behavioral patterns of different users can be effectively identified through data standardization and the construction of user attribute models.The RFM model reveals the different levels of the user’s activity level, consumption ability and consumption value, which provides the basis for formulating differentiated marketing strategies.The data show that among the 4,130 user samples, the user behaviors and behavioral patterns were identified through clustering and knowledge representation. In the sample of 4130 users, cluster analysis shows that most of the users (72.64%) are ordinary customers. In contrast, the proportion of high-value customers (VIP customers) is only 0.24%, which suggests that cross-border e-commerce platforms need to formulate corresponding service and marketing strategies for different user groups to improve customer satisfaction and purchase conversion rate. At the same time, the cross-border e-commerce industry is experiencing changes such as platform fission, marketing innovation, and sinking of service targets, which poses new challenges and opportunities for e-commerce platforms’ operation and management.

Do Mergers and Acquisitions Promote R&D? The Case of European Innovation and Technology sector

Innovation efforts and R&D play a foundational role for companies seeking to further develop their products and services and secure a sufficient market share. This is especially relevant for knowledge-intensive fields, particularly for the Innovation and Technology Sector, where players are constantly challenged with adapting to its multi-faceted nature, processing large amounts of data, and rapid innovation transfer. Thus, it is important to study the factors that contribute to R&D intensity and encourage innovations in detail. The study explores the impact of M&A activity on R&D intensity and R&D spending increase of both the acquiring companies and their targets in European Union. The final sample consists of 85 companies that had implemented M&A deals in the Innovation and Technology sector of the EU between 2007 and 2021, acting as acquirers or targets in these deals. The data is collected from Refinitiv Eikon database. Subgroups are determined based on categorization established by the European Commission. These include Business support service activities, Computer programming, Data processing, Manufacturing, and Telecommunications. In addition, financial data was collected on non-merging companies for forming a control group for the analysis. Difference-in-difference and probit model estimation methods are used to analyze the effect of M&A activity on the companies involved. The results show that the R&D intensityof both acquirers and targets decreases in the post-merger period. As for R&D expenditures, they increase for acquiring companies, while the effect is the opposite for their targets. The study contributes to the literature as it, unlike other similar studies that focus mostly on one group of actors, differentiates between the effect on the innovation activity of targets and the effect on the acquirers. The results could be used to increase the knowledge of the M&A effect on innovation efforts in the Innovation and Technology sector in European countries and understanding the possible problems it could lead to.

Taxonomy of Financial Reporting in the Context of Digitalization of the Economy: Domestic and International Analysis Scientific Research

Abstract A clear manifestation of the technological revolution 4.0 in the context of digitalization of the economy is the use of digital, electronic, or IT-oriented versions of financial reporting. Today, the harmonization of national accounting systems and the formation of financial statements around the world is carried out through the implementation of International Financial Reporting Standards by moving to the preparation of financial statements in a single electronic format – eXtensible Business Reporting Language (XBRL). The introduction of a new financial reporting system in XBRL format requires appropriate understanding and some practical adaptation. At the same time, the study of the use of the concept of “taxonomy financial reporting” in scientific works remains insufficiently developed. The article aims to study the quantitative and qualitative structure of the documentary flow of scientific periodicals on the keywords “taxonomy financial reporting”. The method of bibliometric analysis was used to conduct the study. The source of the bibliometric analysis of the documentary flow of scientific periodicals are publications from the scientometric database Scopus in the period between 2001-2021. As a result of the selection, data were obtained on scientific articles that were exported for processing into the computer program R (bibliometrics package). According to the results of quantitative analysis, 156 publications were received, the vast majority of which were scientific articles. It was found that the main areas of research on the taxonomy of financial reporting are: taxonomies, XBRL, financial reporting, and administrative data processing. The largest clusters appear around these keywords. It has been established that scientific cooperation on this topic is becoming closer, which contributes to the formation of geographical clusters, the three largest of which are united around the United States, Italy and the United Kingdom.

Implementation of Two Tier Architecture in the Design and Development of Bumdes Administrative Data at the Kelindang Village Office, Bengkulu Tengah

The Kelindang Bengkulu Tengah Village Office is one of the villages located in Merigi Kelindang District, Central Bengkulu Regency. So far, the data management process for Village-Owned Enterprises (BUMDes) has used office application packages, namely Microsoft Word and Microsoft Excel. However, not all administrative data processing processes use office application packages, one of which is the 3kg LPG base distribution administration. The Bumdes administration data application at the Kelindang Bengkulu Tengah Village Office is used to make it easier for the village office to process BUMDES administration data, especially regarding the supply and distribution of 3kg LPG Gas to residents within the scope of the Village of Kelindang Bengkulu Tengah. In the data processing process, a network-based two-tier architecture with a WLAN connection has been implemented, to simplify and speed up data input, because many laptops connected to the WLAN can access it. The devices used are 3 units of laptops, namely 1 laptop for the server and 2 laptops for the client. The Bumdes administrative data application at the Kelindang Village Office in Bengkulu Tengah was made using the Visual Basic .Net programming language and SQL Server 2008r2 Database. Based on the tests that have been carried out, the functionality of the Bumdes administrative data application at the Kelindang Village Office in Central Bengkulu is running well and as expected

Risk assessment, implementation of occupational health, safety and hygiene in small and medium manufacturing enterprises: A case study in central Vietnam

This study aims to identify and evaluate the influence of the factors affecting the implementation of occupational health and safety of employees and employers and its impact on occupational health and safety and legalize risk assessment in small and medium-sized manufacturing enterprises in central Vietnam through the survey among 246 business representatives and data processing through the software SPSS 20 and AMOS 20. The results show that there are 3 factors affecting the implementation of occupational health, safety and hygiene. In order: (1) Safety regulations and instructions; (2) Occupational health, safety policy and (3) Occupational health and safety training. There is no relationship between the impacts on the implementation of occupational health and safety of the employer. In addition, a very interesting finding about the relationship of factors implementing occupational health and safety of employers was a positive influence on the legalization of risk assessment activities. On the basis of these results, employees, business owners and state management agencies will have grounds to offer useful solutions in risk assessment in order to better perform safety work and occupational health.

Design of an Intelligent Processing System for Business Data Analysis Based on Improved Clustering Algorithm

In order to further optimize the processing of business data and increase the effectiveness and accuracy of business data analysis, this research investigated the design of an intelligent processing system for business data analysis based on improved clustering algorithms. Some issues with business data analysis can be efficiently resolved by enhancing clustering algorithms, resulting in the provision of more intelligent, thorough, and precise business data analysis services for businesses and organizations. The improved clustering algorithm is compared with the traditional clustering algorithm to analyze the experimental data, the results showed that the maximum clustering effect of the improved clustering algorithm was above 80%, the highest robustness was 91.65%, and the highest point in algorithm performance was 90.97%. From these three aspects, it can be seen that improved clustering algorithms have more advantages than traditional clustering algorithms. Therefore, improving clustering algorithms can make business data processing more efficient, accurate, and reliable, providing enterprises and organizations with higher quality business data analysis services.

Pelatihan Komputer untuk Meningkatkan Keterampilan Bidang Administrasi Pengurus Unit Kerja Karang Taruna (UKKT) RW 06 Mampang, Jakarta Selatan

At this time digital technology makes it easier for everyone to disseminate and get information quickly, and makes it easier for us to get the information we want. Digital technology has been used in all areas of life, one of which is education. Increasing the mastery of digital science and technology is not only carried out in formal education, but also in non-formal education. Skills in using computers which are basic skills to be able to apply digital technology are very necessary, including in the field of storage and administrative data processing. The problem faced by the management of UKKT RW 06 is the lack of skills in using computers for administrative management activities. Increased skills in the use of computer-based software technology applications greatly assist the management of UKKT RW 06 in administrative management activities so that they become more effective and efficient. This has prompted the holding of administrative skills training activities for UKKT RW 06. The purpose of this computer training is to improve the administrative skills of UKKT RW 06 administrators so that they can assist in the process of correspondence and processing of incoming and outgoing funds to be more effective and efficient. The evaluation results from the preparation, implementation, monitoring and evaluation stages based on the answers of 19 participants, it can be concluded that for each question given, on average, participants choose the agree and strongly agree scales. This means that participants are satisfied with the community service activities in the form of computer training so that they can help improve the skills of participants in using Microsoft Office for administrative management activities.

Analysis on the Influence Mechanism of Employees’ Active Behavior Based on Data Mining and Mobile Edge Computing Technology

High-level comprehensive talents are an indispensable key factor for enterprises to achieve sustainable development in a modern society with global integration, highly developed computer network technology, and information technology. Organizations must set new standards for employee job performance in the current environment, which necessitates active participation on the part of employees. The impact mechanism of employees’ active behavior is examined using data mining and mobile edge computing technology in this study. Collect data using mobile computing nodes, build a data analysis model based on data mining theory, and change the traditional data processing method of businesses by optimizing their existing business data processing processes. We can grasp the influence mechanism of employees’ active behavior and discover potential information relationships using multidimensional data analysis. The true cause of employee active behavior influence mechanism data was determined. In addition, the mediating effect of responsibility and the moderating effect of contract type are investigated, as well as the impact of psychological contract satisfaction on proactive behavior among employees.

SISTEM INFORMASI AKADEMIK SDN 15 PADANG PASIR KOTA PADANG BERBASIS WEB

Academic Information System is an application designed for the needs of school administrative data processing with the aim that academic data is better managed in decision making in the school environment. This study aims to design a web-based school academic information system using the waterfall method. In development which will produce a web-based academic information system application which is expected to be more helpful in managing academic data

A Pelatihan Aplikasi Perkantoran untuk Meningkatkan Keterampilan Kader Posyandu Anyelir 8 Perumnas Antang Kota Makassar

Posyandu is the center of community activities in the effort to provide health services and family planning. These trained Posyandu cadres are not only seen from the way they handle maternal and child health but also have to be supported by their ability to use computers in administrative management and data processing. The method used in this community service activity is a combination of tutorials, practice, and discussion or question and answer, as well as evaluation to determine the level of absorption of the training material. The office application materials provided are Microsoft word, Microsoft excel, and Microsoft powerpoint. Office application program training activities for cadres of Posyandu Anyelir 8 Block 8 Perumnas Antang were carried out well and improved the skills of Posyandu Anyelir 8 Block 8 Perumnas cadres in the use of information technology.

Comparison of Algorithms for W orkflow Applications in C loud C omputing

Cloud computing model has evolved to deliver resources on pay per use model to businesses, service providers and end-users. Workflow scheduling has become one of the research trends in cloud computing as many applications in scientific, business, and big data processing can be expressed in the form of a workflow. The scheduling aims to execute scientific or synthetic workloads on the cloud by utilizing the resources by meeting QoS requirements, makespan, energy and cost. There has been extensive research in this area to schedule workflow applications in a distributed environment, to execute background tasks in IoT applications, event-driven and web applications. This paper focuses on the comprehensive survey and classification of workflow scheduling algorithms designed for the cloud.