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International Journal for Applied Information Management
Published by Bright Institute
ISSN : -     EISSN : 27768007     DOI : https://doi.org/10.47738/ijaim
Core Subject : Economy, Humanities, Science, Social,
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences
Journal menerbitkan penelitian tentang semua aspek manajemen informasi. Informasi dilihat di sini secara luas untuk mencakup tidak hanya produk/layanan dan proses tetapi juga pasar, dan organisasi serta informasi sosial. Ini termasuk studi tentang proses secara keseluruhan atau tahap individu, masalah seputar mengakses dan menggunakan sumber daya berwujud dan tidak berwujud secara efektif, strategi informasi, alat yang berbeda yang digunakan untuk mengelola informasi, dampak faktor industri, regional, dan nasional, dan implikasi pada kinerja. . IJAIM menyambut baik pekerjaan yang mengeksplorasi manajemen inovasi dalam konteks baru seperti tetapi tidak hanya layanan, organisasi sektor publik, dan perusahaan sosial dan komunitas, informasi sosial, pada satu atau beberapa tingkat termasuk tim atau proyek, organisasi, regional , nasional dan internasional. Makalah yang muncul di IJAIM harus didasarkan pada metode penelitian yang ketat. Mereka juga harus eksplisit tentang implikasi untuk teori dan praktek. Dengan demikian, penulis harus memastikan bahwa kontribusi terhadap keadaan seni diartikulasikan dengan jelas.
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 139 Documents
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A Summary of Relay Protection-based Simulation for Dynamic Performance and Reliability Assessment Li, Fei; Zhuyuan, Luochen
International Journal for Applied Information Management Vol. 3 No. 1 (2023): Regular Issue: April 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i1.46

Abstract

As technology advances, electricity has become an essential aspect of both national security and daily life. Ensuring the safety of the power grid is thus of utmost importance. However, in China, research on relay protection models for dynamic simulation of power systems is still in its early stages. Due to this, the control laws of relay protection elements have not been well understood, leading to inadequate handling of system failures. To ensure the safe operation of power systems, it is crucial to first strengthen the grid structure of the power system. This can be achieved through the improvement of elasticity coefficient, reasonable distribution of reserve capacity, and the reinforcement of the adjustment ability of the tie line between major power grids. Additionally, improving the stable reserve of the power grid is essential. To improve the authenticity and reliability of dynamic simulation, it is necessary to establish a set of relay protection models that are consistent with actual relay protection. By doing so, the stability problem in the power system can be accurately analyzed, leading to improved reliability. In this study, a relay protection model was established that reduces the complexity of modeling and can accurately reflect the dynamic characteristics of the power system following interference. This model is significant to the analysis and research of power systems, as it can enhance the understanding of control laws for relay protection elements, leading to improved management of system failures and better overall reliability.
Exploring the Implementation of Multimedia Technology in Contemporary Home Product Design for Regional Culture Inheritance and Innovation Sheng, Kang
International Journal for Applied Information Management Vol. 3 No. 1 (2023): Regular Issue: April 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i1.47

Abstract

In recent years, the design market in China for household products has seen a surge in scale and speed. This shift has taken place from a decoration market to a design market. There is now a wide range of styles available for modern home product designs, with Western design styles becoming increasingly popular. However, it has been noticed that some domestic designers have followed the principles of modernism, minimalism, and high-techism, and this has resulted in many designs being created by simple copying of computer-generated designs, without much thought. This approach has led to the loss of the individuality of modern home product design styles. A modern household product design with an elegant taste and extraordinary style is not solely dependent on how much money is spent and how many high-grade decorative materials are used. It is important to combine regional culture with the appropriate use of the elements of modern household product design. It is also essential to create a fully functional, beautiful, generous, and elegant style for indoor environments with limited room space. Regional modern household product design refers to the combination of the local natural environment and cultural environment. It emphasizes local characteristics and national style, and the nationalization of modern household product design and creation tendency. In the design process, local materials and practices should be used as much as possible to display the characteristics of local conditions and merge the overall style with the local environment. To achieve this goal, it is essential to consider the region fully. Regional modern household product design can create a unique and individual design style. The use of local materials and practices will enable the design to reflect the characteristics of the local environment, resulting in a cohesive style. The use of regional culture and local elements will make the design more attractive to potential customers. Therefore, it is necessary to focus on creating a unique style of modern household product design, which combines regional culture with modern design elements.
Predicting Customer Churn: Revolutionizing Retail with Machine Learning Jung, Sun Kyoung; Tsang, Seng-Su; Phumchusri, Naragain
International Journal for Applied Information Management Vol. 3 No. 1 (2023): Regular Issue: April 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i1.50

Abstract

The ultimate objective of every business is to increase sales and profits. When a company's regular customers suddenly stop buying from them, it can cause a significant decrease in revenue. It is a widely accepted fact that retaining existing customers is less expensive than acquiring new ones, which is why Customer Relationship Management (CRM) places a high emphasis on it, particularly in the retail industry. When a customer stops shopping at a store, the business loses the opportunity to make more sales and even cross-sell. Therefore, companies must identify customers who are at risk of leaving and take preventative measures to retain them. This article highlights the effectiveness of using machine learning in conjunction with transaction data for predicting customer churn in the retail industry. The study involved 5,115,472 customer loyalty card records from a European retailer's data warehouse, which were utilized to train the machine learning models. The results showed that machine learning models outperformed their linear regression counterparts.
Using Information Technology to Quantitatively Evaluate and Prevent Cybersecurity Threats in a Hierarchical Manner Mai, Rui; Wu, Mingzhu
International Journal for Applied Information Management Vol. 3 No. 1 (2023): Regular Issue: April 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i1.51

Abstract

The vulnerability of traditional network security technology in the face of rapid advancements in information technology and the constant changes in network security. As a result, hackers can easily exploit loopholes in traditional security measures, such as cracking cryptographic algorithms, and stealing sensitive user information and data, which has led to a crisis of trust in recent years. To ensure safe and effective operation of massive data on the network, this article presents a quantitative assessment of the network's threat situation. The assessment is divided into two parts: support evaluation and credibility evaluation. These parts are further broken down into three levels of evaluation and severity evaluation. The article also provides a list of network security-related precautions that can be taken to mitigate potential risks. The experimental results show that implementing these hierarchical security measures can improve the security rate of Internet users' information by 4%-5%. Overall, the article highlights the importance of adopting more advanced and sophisticated security measures to combat the increasingly complex threats posed by cybercriminals.
Optimizing Supply Chain Coordination through Cross-Functional Integration: A Dynamic Model Using Optimal Control Theory Al-Matar, Najeeb; AlMatar , Mufeed; Tadj, Lotfi
International Journal for Applied Information Management Vol. 3 No. 2 (2023): Regular Issue: July 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i2.52

Abstract

This paper is concerned with the cross-functional coordination of certain internal and external processes in a supply chain to balance supply with customer demand. Activities need to be synchronized in order to avoid issues such as delays in delivery and unnecessary inventory of raw material or of finished products. This can be achieved by integrating the purchasing, logistics, and production processes together. We propose a dynamic model and employ optimal control theory to obtain the optimal raw material supply rate, the optimal transfer rate of the raw material for production, and the optimal production rate. Some managerial insights are obtained through numerical examples and sensitivity analyses. Among the insights gained is that the approach is well suited for medium to long range planning horizon, when raw material and end product deterioration are high, and when the initial gaps between the inventory levels and their respective goals are the smallest.
Investigation into the Application of Image Modeling Technology in the Field of Computer Graphics Doungmala, Pathasu; Thai, Thanh Hai
International Journal for Applied Information Management Vol. 3 No. 2 (2023): Regular Issue: July 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i2.53

Abstract

The field of computer graphics has experienced remarkable advancements in hardware and software, leading to rapid progress and development. One crucial aspect that significantly influences the authenticity and immersive nature of simulation environments is the utilization of image modeling technology. The success of creating realistic and captivating image modeling environments relies heavily on the effective implementation of this technology. In light of this, the present paper thoroughly examines the fundamental concepts of computer graphics and image modeling technology. Furthermore, it delves into an in-depth analysis of the integration of image modeling technology within the domain of computer graphics, followed by an exploration of the concealed algorithm behind its functioning. The continuous evolution of computer graphics systems, encompassing advancements in both hardware and software, has propelled the field forward at a remarkable pace. Among the various elements that contribute to the credibility and engagement of simulation environments, the utilization of image modeling technology stands out as a critical factor. This research paper endeavors to comprehensively investigate the fundamental principles of computer graphics and the intricate workings of image modeling technology. By dissecting and analyzing the conceptual framework of computer graphics and image modeling, the study sheds light on their interplay and interdependence. Finally, the paper unveils the concealed algorithm that underlies the operation of image modeling technology within the realm of computer graphics, thereby providing valuable insights into its inner workings.
Development of an IoT-Based Parking Space Management System Design Wang, Ange; Qin, Zhengtao
International Journal for Applied Information Management Vol. 3 No. 2 (2023): Regular Issue: July 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i2.54

Abstract

With the improvement of people's quality of life and the rapid development of the automobile consumer market, the problem of urban parking difficulties has become increasingly prominent. In addition to the insufficiency of the number of supporting parking spaces, the backwardness of the traditional parking lot operation model has led to insufficient openness and transparency of various information, which limits the ability of drivers to obtain parking space information, and limited parking spaces cannot be adequately obtained. Utilization is also one of the reasons for the increasing difficulty of urban parking. This article aims to study the design of parking space management system based on Internet of Things technology, choose TechIO technology to realize wireless communication between parking spaces in the parking lot, analyze the advantages of TechIO technology and the needs of parking space management system, and build a simulation based on the system design the test environment has made relevant tests on the various items of the system. The test results show that the use of TechIO technology makes the system have the characteristics of strong adaptability, low cost, and low power consumption, which not only eliminates the complicated wiring costs in the parking lot, but also brings great convenience to the deployment of parking lot nodes.
Developing a Predictive Information System for Determining the Prognosis of HIV and Tuberculosis Co-Infection in Incarcerated Individuals Lai, Jingzhen
International Journal for Applied Information Management Vol. 3 No. 2 (2023): Regular Issue: July 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i2.55

Abstract

The research describes the development of the forecasting information system that can predict the outcome of a disease in inmates with HIV-associated tuberculosis. The aim of the research is to develop an additional high-precision diagnostic criterion giving the possibility of the timely correction of diagnostic, treatment and organizational measures for patients with HIV and tuberculosis co-infection that helps to improve the quality of medical care. The research material is based on the data from clinical cases of patients with HIV and tuberculosis co-infection who were hospitalized in a tuberculosis hospital providing specialized medical care to inmates from 2012 to 2018. (367 people). The study methodology was developed in several stages with the use of the methods of system analysis and mathematical modeling (logical-statistical method of optimally reliable partitions, the method of analysis of hierarchies, artificial neural network, methods of statistical grouping). The result of a complex multi-stage research makes possible the development of the prognostic index forecasting outcome of HIV-associated tuberculosis in prisoners. For the automated calculation of the developed index a software package was created. Interpretation of the received data allows timely correcting of diagnostic and treatment tactics in order to improve the quality of medical care and reduce the hospital mortality rate. The developed information system does not require complex and expensive diagnostic measures, it is easy to use and can be suggested to use as a screening method.
Design and Development of Intelligent Logistics Tracking System Based on Computer Algorithm Dong, Demei Gao
International Journal for Applied Information Management Vol. 3 No. 2 (2023): Regular Issue: July 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i2.56

Abstract

The logistics industry has experienced significant growth alongside the progress of the social economy. In this research article, the aim is to create a sophisticated tracking system for the logistics sector by utilizing computer technology. The primary focus is on developing an intelligent inventory decision support system. The article introduces two key algorithms: one that detects the integrity of goods packaging and another that identifies the behavior and posture of goods using a three-dimensional acceleration sensor. Furthermore, the article describes the workflow of the system and provides a thorough design for implementation in a real cabin environment. To validate the effectiveness of the system, experiments are conducted, and its performance is evaluated. The continuous advancement of the logistics industry, driven by the growth of the social economy, has prompted the need for innovative solutions. This scholarly article aims to address this demand by proposing the development of an intelligent logistics tracking system empowered by computer technology. The primary objective is to create an intelligent inventory decision support system capable of optimizing inventory management processes. To achieve this, the article presents two crucial detection algorithms. The first algorithm focuses on assessing the integrity of goods packaging, ensuring that goods remain intact throughout the logistics journey. The second algorithm leverages a three-dimensional acceleration sensor to analyze the behavior and posture of goods during transportation. The article also provides a comprehensive overview of the system's workflow, detailing the various steps involved. Furthermore, to validate the practical applicability and efficiency of the system, a detailed design is executed in a real cabin environment. Through rigorous experimentation and performance evaluation, the article aims to ascertain the effectiveness of the proposed system in enhancing logistics operations.
Formulation and Implementation of a Bayesian Network-Based Model Shi, Ying
International Journal for Applied Information Management Vol. 3 No. 3 (2023): Regular Issue: September 2023
Publisher : Bright Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijaim.v3i3.57

Abstract

At present, Bayesian networks lack consistent algorithms that support structure establishment, parameter learning, and knowledge reasoning, making it impossible to connect knowledge establishment and application processes. In view of this situation, by designing a genetic algorithm coding method suitable for Bayesian network learning, crossover and mutation operators with adjustment strategies, the fitness function for reasoning error feedback can be carried out. Experimental results show that the new algorithm not only simultaneously optimizes the network structure and parameters, but also can adaptively learn and correct inference errors, and has a more satisfactory knowledge inference accuracy rate.

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