Analysis Of Information System Research Articles

The Design of PE Course Key Score Information Analysis and Tutoring System Based on Intelligent CAD

The Design of PE Course Key Score Information Analysis and Tutoring System Based on Intelligent CAD

Analysis and Design of Recruitment Information System (Case Study: PT Bhumi Varta Technology)

Analysis and Design of Recruitment Information System (Case Study: PT Bhumi Varta Technology)

Barriers in Accessing Orthodontic Care for Patients with Orofacial Clefts: Insights from a Florida-Based Survey and National Database Analysis.

To assess the barriers to obtaining care for patients with orofacial clefts through a survey of Florida-based orthodontists and families and an analysis of the Pediatric Health Information System (PHIS) database. A cross-sectional study utilizing multiple-choice questionnaires completed by Florida orthodontists and caregivers of patients who attended a Florida-based cleft and craniofacial clinic. Additionally, data from the PHIS database were analyzed to investigate national factors affecting the age of alveolar bone grafting (ABG). Craniofacial team in Florida. The survey included 39 orthodontists (7.1% response rate) and 48 caregivers (41% response rate) The PHIS study included 1182 patients. Barrier to orthodontic care and age of ABG. Orthodontic Survey: Among the surveyed orthodontists, 71% treated cleft/craniofacial patients, 37% accepted Medicaid, and 55% provided pro-bono care. Poor reimbursement was identified as the most common barrier (58%). Caregiver Survey: Most patients were insured by Medicaid (67%), with 55% incurring out-of-pocket expenses. PHIS Database: The average age of ABG was 10.3 years (SD = 3.2). Government funding was associated with a 6.0-month delay in ABG (p = 0.047) and residing in non-Medicaid expanded states was linked to a 6.0-month delay (p = 0.023). Post-Medicaid expansion status was also associated with a delay (p = 0.004). Access to oral care is difficult for patients with OFC. Despite both federal and state mandates, many financial and non-financial barriers still exist in accessing orthodontic care and a majority of patients experience significant out-of-pocket expenses despite statutorily mandated insurance coverage.

Development and Analysis of a Web-Based Management Information System for Dental Practices to Improve Healthcare Services

Introduction: A website-based management information system is needed in dental practices as a public service center that is required to work quickly, precisely, and accurately. The performance of dental practices becomes more optimal with a computerized management information system. Objectives: This study aimed to develop and analyze a web-based management information system for dental practices to improve healthcare services in Indonesia. Methods: This is an action research design conducted at an independent dental practice in Kudus, Indonesia. The research utilized the waterfall method, which started with requirements analysis, design, implementation, testing, and deployment, as well as maintenance. The analysis was carried out using two methods: Black-Box Testing and User Acceptance Testing (UAT). The UAT percentage results were categorized into 5 sections: 0%-20% very unsatisfied, 21%-40% unsatisfied, 41%-60% neutral, 61%-80% satisfied, and 81%-100% very satisfied. Results: Testing used the Black-Box Testing method on 17 menus, with results meeting the expected specifications and no errors detected during the testing. The User Acceptance Testing (UAT) indicated a 96% approval rate, which signified an excellent rating in users' assessment of the developed system. Conclusions: Based on the results of the study, a web-based electronic dental practice management information system was proposed to meet the needs of dentists.

Analisis dan Perancangan Sistem Informasi Pendaftaran Jemaah haji & umroh berbasis website pada travel PT. Nur Mekahiyah Wisata

This research is entitled "Analysis and Design of a Website-Based Information System for Registration of Hajj & Umrah Pilgrims at Travel PT. Nur Mekahiyah Wisata". The main objective of this research is to design and develop an effective information system to support the registration process, data management and consultation services for Hajj and Umrah pilgrims. The methods used include requirements analysis, system design, implementation and testing. The research results show that this system is able to improve operational efficiency, data accuracy and transparency of the registration process, as well as providing a more effective experience for users.

Analyzing the Web-Based Library Information System at SMKN 1 Talang Ubi

In the rapidly evolving field of information technology, the transition from manual to computerized systems has become essential for improving efficiency and accessibility. This study focuses on the analysis, development,and evaluation of a Web-Based Library Information System at SMK Negeri 1 Talang Ubi, aimed at modernizing library management through automation. The system facilitates processes such as book borrowing, member registration, and data management, with the added benefit of remote accessibility. The system was developed using the Web Engineering methodology, which includes stages of Customer Communication, Planning, Modeling, Construction, and Delivery & Feedback. UML (Unified Modeling Language) tools were employed for system design, and PHP, HTML, and MySQL were utilized for programming and database management. Usability testing with 100 participants revealed positive outcomes: 80% rated the system's navigation and design as "Excellent" or "Good," and 80% found the user interface consistent across different sections. However, 10% of participants experienced issues with device accessibility, indicating a need for further improvements in cross-device compatibility. Overall, 80% of users were satisfied with their experience. The Web-Based Library Information System at SMK Negeri 1 Talang Ubi has successfully enhanced library management through improved efficiency and accessibility. The high satisfaction rates among users highlight the system's strengths, although addressing cross-device accessibilityissues remains a priority. This study provides a valuable framework for other educational institutions seeking to implement similar web-based solutions

Analysis and Design of a Web-Based Counseling Guidance Management Information System at ABC High School

Counseling is a professional support process aimed at helping individuals or groups overcome various personal, emotional, social, or psychological problems. This process involves trained counselors who utilize specialized techniques to provide guidance, support, and advice, facilitating better coping mechanisms and overall well-being. Given the critical role of counseling in fostering mental health and personal development, it is essential to continually improve and enhance counseling services for students. By doing so, counselors can ensure they are providing the most effective and comprehensive support possible. At present, SMA ABC relies on traditional methods such as Microsoft Word and Microsoft Excel to record and store data related to counseling and guidance. While functional, these tools are not optimized for the dynamic and multifaceted nature of counseling work. This traditional approach can be time-consuming and prone to errors, hindering the efficiency and effectiveness of the counseling services provided to students. To address these challenges, a web-based management information system is needed. Such a system would streamline the process of recording, storing, and retrieving information, enabling counselors to complete their tasks more quickly, accurately, and on time. A well-designed web-based system would also facilitate better data analysis and reporting. The development of this system will use the waterfall method, a systematic and sequential approach to software development. This method ensures that all data and information related to the counseling procedures and the system's technical implementation are thoroughly processed and accurately integrated, resulting in a reliable and efficient management tool.

Robust convex biclustering with a tuning-free method

Biclustering is widely used in different kinds of fields including gene information analysis, text mining, and recommendation system by effectively discovering the local correlation between samples and features. However, many biclustering algorithms will collapse when facing heavy-tailed data. In this paper, we propose a robust version of convex biclustering algorithm with Huber loss. Yet, the newly introduced robustification parameter brings an extra burden to selecting the optimal parameters. Therefore, we propose a tuning-free method for automatically selecting the optimal robustification parameter with high efficiency. The simulation study demonstrates the more fabulous performance of our proposed method than traditional biclustering methods when encountering heavy-tailed noise. A real-life biomedical application is also presented. The R package RcvxBiclustr is available at https://github.com/YifanChen3/RcvxBiclustr.

Analysis and Design of Inventory, Purchase, and Sales Information System at UD. Dicky

Technology is currently developing rapidly, so every business such as sales needs to implement an information system. UD.Dicky is a business that operates in the field of selling basic necessities in the form of rice, edible oil, sugar and other necessities located at Jl. Captain Muslim No.120, Dwi Kora, Kec. Medan Helvetia, Medan City, North Sumatra 20123. The problem with the ongoing business process at UD.Dicky is that there is no processing and storage of data on sales, purchases and inventory of goods so that errors often occur in recording transactions carried out and also making reports. The methodology used is SDLC (System Development Life Cycle). The results obtained from this research are a sales, purchasing and inventory information system design, if continued to the system development stage it can be used as a basis for developing the proposed system

Frequency of Abnormal Findings on Chest Radiographs: Analysis of Chest X-Ray Reports in the Metropolis

Introduction: To achieve the highest diagnostic accuracy of AI services in radiology, it is necessary to test and validate them on data sets that consider the balance of classes of various abnormalities. Information about the frequency of abnormal findings in practical healthcare is essential for creation of such datasets. Objective: To establish the frequency of chest X-ray abnormalities using big data from the healthcare system of a Russian metropolis. Materials and methods: We conducted an observational multicenter retrospective sample study by retrieving 562,077 chest X-ray reports dated February 18, 2021 to June 11, 2021 from the Unified Radiological Information Service of the Unified Medical Information Analysis System of the city of Moscow, which were then analyzed and automatically labeled using the Medlabel tool. The results were processed in Microsoft Excel and using the Python 3.9 programming language. Group differences were determined using the chi-square test. Results: Among all analyzed reports, cardiomegaly was the most frequent abnormal finding (12.23 %), while the proportion of other abnormalities did not exceed 3.0 %. Among all abnormal chest X-rays, 79.60 % showed only one abnormality with cardiomegaly found in 80.78 % of cases. Among the reports with two or more abnormal findings, cardiomegaly was detected in only 43.36 % of cases, whereas opacities (64.98 %) and infiltration/consolidation (64.50 %) prevailed. Conclusions: The proportion of abnormal chest X-rays was 16.7 %. In terms of the frequency of occurrence, cardiomegaly ranked first followed by focal pulmonary opacity and infiltration/consolidation. It is worth noting that the frequency of certain types of abnormalities varied significantly between the tests with one and several (two or more) abnormal findings, which should be taken into account when training and testing AI services.

Charting the evolutionary conceptual pathway of analytic network process research: A main path analysis

AbstractThis study delves into the flow and structure of knowledge prevalent in Analytic Network Process (ANP) literature. It traces the evolutionary pathway of ANP research, spotlighting seminal works and unfolding the development of topics over time. Analysing 4583 ANP literature records from 1986 to 2022, this research utilizes two pivotal data sources: Web of Science (WoS) and Dimensions. This main path analysis (MPA) approach is coupled with techniques such as citation analysis, social network analysis, and centrality measures to identify most influential papers, as well as using a search path algorithm (SPC) to provide higher weights to papers that serve as bridges connecting different research paths rather than simply counting all citations equally. Key works emerged as focal points in both datasets, including notable contributions from Lee, Kheybari and Büyüközkan, with the Dimensions dataset uniquely highlighting Saaty as the initial conceptual knowledge source of the ANP. The centrality measures unearthed persistent bridge roles undertaken by key contributors such as Saaty and Sarkis over different time periods. Furthermore, a detailed topic analysis discerned eight distinctive thematic clusters among the two data sources: analytical network process, network process, fuzzy analytic, evaluation laboratory, supply chain, quality function, hierarchy process, and information systems. These clusters emerged, providing a comprehensive map of ANP topics and their evolution. The study offers a comprehensive framework for scholars to navigate the expansive domain of ANP research. Identifying pivotal works and emergent themes provides direction for future research endeavours. It allows practitioners to gain invaluable insights into the foundational and transformative works in the ANP realm, enhancing their understanding and application of the methodology. This paper proposes of a dual methodological strategy: First, by using traditional academic data sources (WoS) along with a more encompassing Dimensions database; and second, by using a SPC algorithm to weight MPA papers based on their connecting role among different research paths. At the discipline level, this study carves out a novel vantage point in understanding the ANP research landscape. It offers an integrated portrayal of the field's conceptual evolution, identifying specific cluster topics as an indispensable resource for scholars, practitioners, and students.

Analysis and Design of Breeding Management Information System in Poultry Farms

Breeding management is indispensable in business development in the field of poultry farming where companies are required to keep up with the development of the digitalization era. Companies must be able to take advantage of opportunities in advances in information technology in obtaining accurate, fast and reliable information so that management can make decisions. PT. Peternakan Ayam Manggis has been using manual methods in recording the results of production or the process of breeding chicken farms. in making records using office software, namely excel, so that errors often occur and are often not realtime in making records. Records generated by poultry production include depletion, quarantine, culling, feed and egg production. in processing data generated manually can make it difficult for management to make decisions. The purpose of this research is to design an application that can be used by companies to obtain information during the breeding process.The research method in developing this application uses waterfall and design role analysis with data collection and using UML modeling. This information system application produces information about Breeding management including depletion, quarantine, feed, egg production, movement of chickens from one cage to another, culling. this information system application uses a database and application blackbox testing is carried out so that the application runs as needed.

Design of sports training information analysis system based on a multi-target visual model under sensor-scale spatial transformation

In the contemporary realm of athletic training, integrating technology is a pivotal determinant for augmenting athlete performance and refining training outcomes. The amalgamation of multi-target visual modeling with sensor technology imparts an enriched stratum of sports training data. Subsequently, the sensor scale-space transformation accentuates the comprehensive apprehension of data across diverse scales and angles. Hence, within this manuscript, addressing the multi-target tracking intricacies during sports training and competition, we posit a framework that amalgamates the shortest path elucidated by the K shortest paths (KSP) methodology with the pose information emanating from the Alphapose network. This framework recognizes the athlete’s shortest path through a convolutional neural network and KSP, followed by the amalgamation of these divergent data sources. The fusion unfolds by incorporating the athlete’s pose information grounded in Alphapose, culminating in a comprehensive integration of the two data streams. Consequently, synthesizing alpha-derived athlete information precipitates the ultimate amalgamation of the two information streams. The accomplished fusion, premised on Alphapose, forms the bedrock for multi-target tracking, culminating in a feature-rich synthesis. Empirical results reveal that after integrating these information streams, the Multiple Object Tracking Accuracy (MOTA) index and Global Multiple Object Tracking Accuracy (GMOTA) index surpass those of the solitary information tracking methods, thereby furnishing a technical underpinning and a foundation for information fusion within prospective sports training analysis systems.

Теоретические основы оценки эффективности сложной информационной системы

In the aspect of solving the problem of inefficiency of a complex information system of public finance management, the necessity of developing a methodology for system analysis and modeling of a complex information system (IS) is considered. Based on the synthesis of the provisions of systems theory, organization theory, decision theory and management theory, the main definitions of a separate theory, its axioms and the basic principles of evaluating the effectiveness of the system were proposed. The key feature of the management of the system is adaptation, the qualitative adjustment of which can enhance the beneficial effect of a complex system by developing a system-wide management strategy. The given conceptual descriptions of the adaptive management process indicate the need for continuous modeling of the system, the creation of models for managing the functioning and development of the complex IS as a complex ecosystem, where priority in decision-making should be focused on the synergetic effect of benchmarking, integration and centralization. Due to the expansion of scientific knowledge about the category of effectiveness of complex IS, the results of the study will further allow in practice to resolve some difficulties and contradictions in managing the development of a complex IS for public finance management.

Enhancing Dengue fever diagnosis with generalized rough sets: Utilizing initial-neighborhoods and ideals

This article introduces novel definitions for generalized rough-set models, that using the concepts of initial neighborhoods and ideals. A comprehensive examination of the properties inherent in these newly introduced types is provided. A meticulous comparison between the proposed definitions and previously published studies, underscoring the broader applicability of the definitions presented herein. The obtained results and illustrative examples serve to substantiate the claim that the newly proposed method adeptly diminishes boundary regions while concurrently optimizing accuracy. Furthermore, the article establishes initial rough membership functions through ideals, applicable to any binary relation R on a universe W, and introduces an innovative approach to lower and upper approximations utilizing the Iι-membership function. The exposition includes a compelling medical application to elucidate the determination of exact and rough sets for each technique. Finally, an exhaustive analysis of the dengue fever information system is conducted to validate the efficacy of the proposed approaches in maximizing accuracy and minimizing boundary regions.

Methods for Thematic Analysis and Ranking in Information Analysis Systems Based on Relational DBMS

The paper presents the models and algorithms for searching, filtering and ranking data in an information analysis system, based on the ontological description of its structure. The rules for filtering and ranking objects based on their boolean, numeric or enumerable properties are specified by the users, and based on these rules SQL queries are evaluated. Another problem considered is taking subject area into account when searching for objects. Adding this allows one to solve many tasks that occur in current research information systems, such as searching for experts in given subject areas or generating reports. A search query can be specified in the form of a set of keywords, and a statistical approach is used for comparing keyword sets.

Spatial Planning Policy Analysis and Participation Support Society Towards Environmental Sustainability

The research is purpose to find out implementation spatial planning policies on Bekasi city for stainable environmental management? Analytical methods used are: 1) Geo-physics analysis of land suitability analysis, 2) physical analysis; 3) Analysis of environmental management, 4) Analysis of socio-economic conditions, and 5) Analysis of Geographic Information System (GIS). The results obtained that spatial planning and environmental carrying capacity can be concluded that to meet the needs of diverse development needs to develop a spatial pattern of land use, coordinate, procedures for water and other resources in a unified a dynamic environment. To meet the needs of diverse development needs to develop a spatial pattern coordinate system guana land, procedures for water and other resources in a unified order dynamic environment. For that layout needs to be managed by an integrated pattern through a regional approach with respect to site natural environment, socio-cultural environment, and the artificial environment in accordance with its development. Good city spatial structure with more increased public participation in city layout is expected to be better. The parties involved in these activities the city department of administration, the whole society. There is a direct influence on the city hall community participation in maintaining a healthy environment, so if you want to increase public participation in maintaining a healthy environment can be done by increasing the city spatial planning. Knowledge to community environmental management in maintaining a healthy environment, can be done by improving environmental management Knowledge community.

Artificial light at night and the diet of a bird of prey in Caatinga

This study investigated the potential influence of artificial nocturnal lighting (ALAN) on the diet and behavior of the owl Tyto furcata in the Caatinga biome, northeastern Brazil, from 2016 to 2021. The diet of T. furcata was compared between two adjacent areas, the National Park (PARNA) Furna Feia and the urban area of the municipality of Mossoró, a semiarid region of the west of the State of Rio Grande do Norte, with different ALAN intensities. The analysis of the geographic information system (GIS), using night images from the SNPP and NOAA-20 satellites, identified that ALAN in PARNA Furna Feia was absence, while in the urban perimeter of Mossoró, ALAN was present. The diet of T. furcata owls at PARNA Furna Feia comprised mostly of bats and nocturnal rodents captured at night under rocks and caves. In the urban area of Mossoró, the diet consisted mainly of diurnal birds and rodents captured during the night, when they rested in roosts under ALAN. Thus, urbanization affects the foraging behavior and diet of this bird of prey in Caatinga. ALAN appears to be one of the environmental conditions that T. furcata favors in urban habitats in the Caatinga biome, as it allows nightly hunting under artificial lighting of birds aggregated in roosts.

Analysis and Development of Information System for Cyberbullying Tendency on Twitter Social Media Using the Naïve Bayes Approach

Social media news becomes information read by thousands of individuals worldwide. Social media users in society have the freedom to post comments based on their perspectives, and the larger community can see whether these remarks are positive or negative. However, many comments are not constructive, and many of them lead to bullying. Unsupervised communication in the social realm can lead to a variety of deviations, which are commonly referred to as cyberbullying; several incidents of cyberbullying have happened. This research can also be used to express negative feelings about someone by writing them down and sharing them on social media. Methodology used in this research is following the System Development Life Cycles and based on naïve Bayes approach to classify the expression whenever it’s a bullying or not. From the research finding the system can help to mitigate the bullying tendencies in social media, although the system cannot predict whenever its actual bullying or a pun made by friends.

Spatial Analysis to Determine Black Spot Area in Kulon Progo Regency, Yogyakarta, Indonesia

Nowadays the number of traffic accidents increase due to the surging volume of road traffic. The efforts to reduce number of accidents is important, especially to identify the location and causes the accidents. Therefore, this study aims to identify black spot areas, which are areas with a high concentration of traffic accidents, in Kulon Progo Regency in Yogyakarta, Indonesia. The method used is spatial analysis by combining analysis of traffic accident data and geographic information system (GIS) data using ArcGIS software. The study focused on provincial road consist of primary collector 2 and 3, as well as national road segments. The analysis of accident data allowed the identification of hotspots where accidents occur most frequently. Hotspot analysis methods such as Local Statistic Analysis and Kernel Density Estimation were used to assess the spatial patterns and clustering of accidents. The study found that the black spot area in Kulon Progo Regency was mainly concentrated on the National Road Segment, with fewer occurrences on the Provincial Road with function of Primary Collector 2 and minimal presence on the Primary Collector 3 Road Segment. This result can be used to develop strategies to mitigate accidents and improve road safety in the area.