Information Technology Systems Research Articles

Energy, environmental and economic performance of bi-facial photovoltaic noise barrier applied in city scale

Solar energy in transportation reduces fossil fuel consumption and supports carbon neutrality. Photovoltaic noise barriers (PVNB) are used globally to harness renewable energy along roads. This study's novelty lies in the detailed consideration of road orientation and the application of bifacial photovoltaic technology when assessing the potential for large-scale deployment of PVNB. Bifacial PV technology captures solar radiation from both sides, enhancing energy efficiency. A mathematical model was established and validated to predict PVNB power output at 5° azimuth intervals. Geographic information system (GIS) technology was used to quantify trunk roads, motorways, and RNB in Shenzhen, China. Accordingly, the electricity generation potentials of PVNB, as well as the economic and environmental benefits were calculated. The installed capacity and power generation of PVNB in Shenzhen are 432.29 MW and 313.37 GWh, respectively. The levelized cost of electricity is 0.4781 CNY/kWh. Compared to a 600 MW coal-fired unit, 9119.09 tce of fossil fuel can be saved, with lifecycle carbon reduction of 3.80 Tg and net carbon reduction of 3.05 Tg.

Estimation of land surface temperature in relation to land-use using remote sensing technology and geographic information system (Case study: Tabriz city(

Estimation of land surface temperature in relation to land-use using remote sensing technology and geographic information system (Case study: Tabriz city(

The advantages and challenges with the usages of blockchain technology in management information systems, particularly in us e- commerce enterprises

In the last twenty years, information technology has relatively advanced different aspects of people’s cal, societal interactions and companies affecting the quality of life. The modern e- commerce organizations require MIS that is used in the acquisition, processing, and reporting of relevant data for decision making purposes. This paper focuses on how Blockchain has been incorporated into MIS within e-commerce firms located in the United States, and provides a literature review of the advantages and problems involved. By synthesizing academic research from management and business process journals, the study presents important areas where MIS can be improved by blockchain technology and solutions while also presenting important disadvantages such as scalability problems and regulatory challenges and high implementation costs. The results of this study are summarized in the following sections, ending with a discussion of the possible opportunities that blockchain-MIS can leverage for innovation and trust in today’s American e-businesses. To this end, this paper seeks to give an objective analysis of the effects of blockchain technology on MIS in e-commerce in order to help executive managers make better decisions on its adoption.

Optimizing Sustainable Manufacturing: An Integrated Approach of Green Information’s Systems and Knowledge-Based Decisions in Industry 4.0: A Comparative Analysis

Adopting green information technology (IT) systems has become crucial for improving the environmental sustainability of manufacturing firms. To drive the manufacturing process more appropriately, management and administrators recognize the importance of developing green IT systems aligned with knowledge management (KM) practices. To accomplish the study objective, experts were engaged in a study conducted in Henan manufacturing firms to share their knowledge on the factors that influence management’s intention to adopt green IT systems concerning KM. The study collected 324 valid responses from industrial experts in Henan manufacturing industries through survey questionnaires. Using structural equation modeling (SEM), the hypotheses were evaluated, and the significance of each factor in the model was determined. The SEM results revealed that the KM process interpretation significantly influences green IT systems to improve manufacturing process development. Furthermore, the study found that combining KM processes and green practices has a more substantial impact on improving the manufacturing process. This suggests that integrating knowledge management practices with green IT systems can lead to better environmental sustainability and overall performance in manufacturing firms. The findings of this study offer valuable insights for decision-makers and policymakers in formulating policies and programs to implement a green information system with green implementation processes effectively in the manufacturing sector. By adopting these strategies, manufacturing firms can contribute to environmental sustainability while simultaneously improving their overall performance.

Groundwater Quality Prediction and Analysis Using Machine Learning Models and Geospatial Technology

The most prominent source of drinking water is groundwater, followed by lakes and reservoirs. Hydrological parameters like temperature, dissolved oxygen, pH, conductivity, ORP, and turbidity often change due to waste dumping into natural drinking water sources, particularly in densely populated areas. As a result, the water quality must be tested before public consumption to ensure healthy living in society. This research collected water samples from 129 wells in the Kanchipuram district in Tamil Nadu, India. An efficient integrated machine-learning-based prediction model has been proposed and modeled to determine the groundwater quality index (GQI). Several machine learning models were used to predict the water’s quality, including the naïve Bayes model, the KNN classifier, and the XGBoost classifier. Water quality predictions in 2024 were made using a combination of classification algorithms and models based on long short-term memory (LSTM) neural networks. The projected water quality characteristics were analyzed using geographical information system (GIS) technology to better understand and visualize the results. The XGBoost classifier model outperforms prior findings in the literature, with an accuracy of roughly 94.6%. The classification and prediction model was validated using collected and tested current data samples from a selected well. The findings were accurate within the 5% error range, promoting sustainability.

Cloud Computing Practices among Small and Medium-Sized Enterprises (SMEs); Contemporary Trends, Possibilities, and Challenges

The study focused on Cloud Computing practices among Small and Medium-Sized Enterprises (SMEs), the Contemporary trends, Possibilities, and Challenges. The objectives were to review the history behind cloud computing in relation to SMEs in Ghana, to examine factors that impact the adoption of cloud computing by SMEs in Ghana that tend to affect their performance, to analyze the impact of cloud computing migration strategy on cloud computing adoption, to evaluate the merits and demerits of cloud computing adoption, and to analyze the security involved in using cloud computing. The study employed a descriptive research design to describe the variables of interest, and information. This study found that cloud computing has a favorable impact on SMEs by reducing their operating costs, thereby increasing their margins. It also revealed that despite the many advantages of cloud computing, demerits such as security and privacy, lack of skills, expertise, and resources, and limited flexibility and control contribute to the low rate of cloud service adoption in Ghana. It is recommended that cloud services must be developed to integrate seamlessly with the existing Information Technology (IT) systems prevalent in the SME industry, and cloud service providers provide adequate migration training for SMEs as part of the adoption process. It also emphasizes the need for future cloud technology research to review new cloud services and practices that SMEs can adopt to gain a competitive advantage in the market.

A Retrospective Analysis of Lessons Learned and Perspectives on Expansion of Verbal Autopsy Implementation in Zambia, 2023.

Accurate cause-of-death statistics are vital for public health policy, but less than one-third of deaths globally are assigned a cause. Verbal autopsy (VA) methods are crucial in low- and middle-income countries lacking complete civil registration and vital statistics (CRVS) systems. We explored VA implementation in Zambia by using a previously developed framework. The National Mortality Surveillance Subcommittee under the Monitoring and Evaluation Technical Working Group within the Ministry of Health coordinates mortality surveillance activities in Zambia. To date, passive, non-population-representative VA data collection mechanisms have been used, leading to underrepresentation of some communities. In spite of the use of electronic data collection tools, VA systems have not been electronically linked to public health surveillance or CRVS systems. Funding for VA has largely been donor driven. Increasing government funding may ensure sustainability, while the adoption of sample-based platforms while linking VA information technology systems may make VA data more useful, timely, and accessible.

Recent innovations in land capability classification for sustainable development: a brief overview.

Land is a finite resource that must be managed wisely to ensure its sustainability. Consequently, land evaluation has become essential. Identifying and utilizing productive capacity of land efficiently and profitably is crucial; otherwise, resource degradation can severely impact natural ecosystems and food production. Over the years, various methodologies have been employed to assess land resources, and one such method is the Land Capability Classification (LCC). LCC is a widely used and fundamental approach to land-use planning, traditionally assessing land based on its intrinsic qualities and climate. This study aims to highlight new approaches and developments in land evaluation techniques. It provides a brief overview of recent technological and scientific advancements integrated into land evaluation. The findings suggest that LCC alone is inadequate for precise land assessment, emphasizing the need to integrate new technologies. Remote Sensing (RS) and Geographic Information System (GIS) technologies are becoming increasingly significant. Integrating various software, decision-making systems, and mathematical models can also enhance the accuracy of land assessment results. The continuous advancement of GIS and remote sensing technologies is paving the way for new tools to facilitate natural resource mapping, appraisal, surveillance, and management. Utilizing these technologies for future projections will be highly beneficial in accurately assessing the long-term impacts of current land management practices.

An insight of undergraduate students’ attitude and satisfaction with online home-based learning system

The purpose of this study is to investigate different factors associated with remote online home-based learning (thereafter named OHL), including technical system quality, perceived quality of contents, perceived ease of use, and perceived usefulness in relation to the satisfaction of undergraduate students following the post-COVID-19 pandemic in Malaysia. Additionally, the mediating roles of attitude are also investigated. Two hundred questionnaires were distributed using judgmental sampling method and 156 completed responses were collected. The data were subsequently analyzed using PLS-SEM. The findings imply that the OHL system is an effective method although it is challenging to operate. In terms of perceived technical system quality, OHL is currently more gratifying for students; however, some have reported that the quality of the content delivered via the remote system is still unsatisfactory. Moreover, the study found that attitude is a significant determinant of undergraduates’ satisfaction with OHL. This study contributes to the advancement of current knowledge by inspecting the factors of the Undergraduate Level OHL System using the mediating roles of attitude. In terms of underpinning theories, Technology Acceptance Model and Information System Model were employed as the guiding principles of the current study.

Developing a digital management system for museum collections using RFID and enhanced GIS technology

In recent years, the integration of Radio Frequency Identification (RFID) technology with deep learning has revolutionized the Internet of Things (IoT), leading to significant advancements in object identification, management, and control. Museums, which rely heavily on the meticulous management of collections, require precise and efficient systems to monitor and oversee their valuable assets. Traditional methods for tracking and managing museum collections often fall short in providing real-time updates and ensuring optimal environmental conditions for preservation. These shortcomings place a considerable burden on museum staff, who must manually track, inspect, and maintain extensive collections. This study addresses these challenges by proposing an advanced electronic management system that leverages the synergy between RFID technology and Geographical Information Systems (GIS). By integrating an enhanced LANDMARC algorithm into our geoinformation framework, the system visually represents the real-time location of museum collections on custom electronic maps, significantly improving the accuracy and timeliness of environmental monitoring. Additionally, RFID technology is utilized to continuously identify the real-time location of museum staff, facilitating the evaluation of their inspection tasks. This dual approach not only enhances the operational efficiency of collection management but also supports the development of intelligent, automated systems for museums, advancing the application of RFID technology in item identification and location management.

Enhancing Communication Between Dental Laboratories and Clinics: The Role of Information Technology Systems in a Developing Country.

Despite the great effort between the dentist and dental technician in prosthesis fabrication, there is a lack of proper communication. According to the laboratory prescription, the communication process must include all the essential elements to complete the prosthesis fabrication correctly. The digital revolution in dentistry suggested using information technology system prescriptions instead of traditional prescriptions. To explore the association between the application of ITS and the communication process between dental laboratories and dental clinics in a developing country setting. The current study used a quasi-experimental design (posttest only). A convenience sample of 600 subjects was divided into two subsamples of 300 subjects each. The data from the first subsample was collected from traditional (paper-based) prescriptions, and the data from the second subsample was collected from the Information Technology System (ITS). It was associated with a statistically significant commitment to recording themost essential information in the dental lab prescription. The time spent completing and delivering the work was faster, and the need for recommunication was less common among those using ITS thanthose using traditional systems. Regarding the quality of the prosthesis, the need for modification or redo due to improper shade, inappropriate charting of teeth, or lack of additional information in the dental lab prescription was less among users of the ITS system compared to the traditional system (P < 0.05). Using ITS instead of a traditional system can enhance the communication process and the amount filled in the laboratory prescription in multiple aspects, including the completeness of essential information in the dental lab prescription, the time needed to complete the cases, the need to re-communicate less frequently with the dentist, and improved the quality of the prosthesis.

Prospects for the development of cartography through the integration of SLAM technology with GIS technology

Abstract. With the continued development of Simultaneous Localization and Mapping (SLAM) and Geographic Information Systems (GIS) technologies, their application scenarios have become increasingly complex. Combining these technologies can significantly enhance operational efficiency in challenging environments. This paper presents an analysis of existing cases where SLAM and GIS technologies have been integrated, demonstrating that such a merger facilitates the consolidation and complementarity of spatial data. This integration allows robots or systems to simultaneously utilize the global information provided by GIS and the dynamic local data captured by SLAM for a more comprehensive and detailed environmental analysis, which is highly beneficial for the field of cartography. Further research has developed a series of operational procedures for integrating SLAM and GIS, utilizing MATLAB as a tool. This study also reviews several existing technical challenges, including real-time performance and computational capacity, environmental complexity and dynamic changes, and multi-scale data processing, and proposes potential solutions. The paper concludes by predicting that the integration of SLAM and GIS will play a crucial role in areas such as smart city management and disaster emergency response, indicating that this research area will become a hot topic in future cartographic technology.

Architecting Resilience : A Framework for Secure and Compliant Healthcare IT Infrastructures

Healthcare information technology (IT) systems face unique challenges in maintaining data security and regulatory compliance while supporting critical patient care functions. This article provides a comprehensive analysis of the complex interplay between data protection measures and compliance requirements in the healthcare sector. We examine key components of data security, including encryption, data integrity measures, and secure transfer protocols, with a specific focus on their application to sensitive patient information. The impact of regulations such as HIPAA on system design and maintenance is explored, offering insights into the alignment of IT practices with evolving standards. Through a review of current literature and industry best practices, we present strategies for risk management, employee training, and the implementation of technical controls that address both security and compliance needs. Emerging trends, including cloud computing, the Internet of Medical Things (IoMT), and artificial intelligence in healthcare security, are discussed to provide a forward-looking perspective. This article contributes to the ongoing dialogue on balancing innovation with security in healthcare IT, offering practical recommendations for healthcare organizations to enhance their data protection measures while ensuring regulatory compliance.

Reviewing the Impact of Engineering Measures on Soil Erosion in Jammu and Kashmir Anantnag Watershed

Planners now find that stopping soil loss in India's watersheds must be their top priority. Currently, a wide range of mathematical models are used worldwide to predict soil erosion. The Revised Universal Soil Loss Equation (RUSLE), which is frequently used to predict average soil loss, is one such model. Recently, there has been an increased emphasis on applying USLE/RUSLE in conjunction with Geographic Information System (GIS) technology, enabling grid-based analysis for predicting soil erosion and aiding management methods. This study assesses the efficacy of flood control and erosion management programs launched in 1914. Four different maps representing the possible erosion threats were created for four different time periods, and a comparison study was carried out to assess the changes that occurred. The implementation of various strategies such as terracing, afforestation, and rehabilitation in the watershed led to a noteworthy prediction of decreased soil loss in the watershed. In the temperate region of Jammu and Kashmir and sparsely vegetated areas, the rate of anticipated soil loss decreased from 632 to 378 metric tons per hectare per year between 1990 and 2020, indicating the efficacy of soil conservation measures in mitigating potential soil loss.

SIM-RS Success Factors Based on DeLone and McLean Theory at Hermina OPI Jakabaring Hospital

The information technology system is a technology used to process data, including processing, obtaining, compiling, storing, and manipulating data in various ways to produce quality information, namely information that is relevant, accurate, and timely, which is used in personal, business, and government purposes and is strategic information for decision making. Information systems with technological support are one of the systems that play a significant role in organizational success. The purpose of this study was to determine the success factors of the management information system (SIM-RS) at Hermina OPI Jakabaring Hospital based on the DeLone and McLean theory, which consists of six variables, namely system quality, information quality, service quality, use, user satisfaction and benefits. This research was conducted at Hermina OPI Jakabaring Hospital with a sample of 48 hospital employees who use SIM-RS. The results obtained from this study were based on the system quality variable, which stated that as many as 48% of employees stated SIM-RS quality. Information quality variables as much as 54% of respondents stated that SIM-RS was qualified. As many as 79% of respondents stated that they were satisfied with the service quality variable of SIM-RS. The use variable as many as 43% of respondents stated that SIM-RS was often used. As for the user satisfaction variable, as many as 94% of respondents stated that SIM-RS was of high quality. The benefit variable was that as many as 56% of respondents stated that SIM-RS was useful.

Integrating Geospatial and Real Time Technologies for Risk zone monitoring in Periyar Tiger Reserve, India.

There are numerous monitoring technologies available today, owing to the rapid advancements in technology and the increasing demand for safety and security in forests. Real-time monitoring with AI cameras, which are commonly utilized for creating and updating real-time features through surveillance, stands out as one of the most effective monitoring solutions. The objective of this current research is to monitor various risk zones within the Periyar Tiger Reserve by integrating real-time AI camera with geographic data. AI cameras were strategically placed using spatial analysis techniques. Leveraging Geographic Information System (GIS) technology, the system facilitates the spatiotemporal management of multiple cameras and their associated data. The spatial distribution and monitoring range of the AI cameras are depicted on the GIS map, along with the layout densities of the cameras and other pertinent information stored in a geospatial database. Additionally, merging various risk areas identified from past incidents with the camera locations enhances the system's capability to establish accurate topological connections between cameras and other points of interest. The results revealed that only 13% of the risk zone was observable from the nine available Real Time Monitoring towers. However, with the addition of 51 more towers, the visibility of the risk zone would increase to 40%. The remaining 15% of the risk zones were not visible through the existing infrastructure. To address this visibility gap, if permitted by the Wildlife Protection Act, wired communication may need to be implemented instead of wireless for monitoring these areas.

Supporting the Quality Culture of Education through the Design of an Information Technology System for Accurate Management Services at Pondok An-Nahdloh Selangor

This research aims to design a management information system application based on the needs of internal administrative services, as well as testing the level of effectiveness of its application on service quality to support a culture of quality education, as well as assessing the constraints and challenges in the process of implementing the system based on aspects of human resources, facilities, and policy support. This research adopts a Research and Development (R&amp;D) approach, with IPPPE stages (Identification of needs, Design, Testing, Implementation, and Evaluation). Data collection is in the form of questionnaire sheets for expert validators and users. The results showed that (1) the design of the management information system features a registration module, student and teacher data management module, grade management module, and financial management module. (2) The information system application developed has a high level of feasibility, as well as a level of effectiveness in supporting the accuracy and speed of service to internal management parties and supporting the culture of quality education. (3) There are several obstacles and challenges in the process of implementing management information systems, namely technical constraints and challenges, and user adaptation which includes the limited ability of application managers, limited infrastructure, and the need for future system development to integrate with the learning field.

Knowledge Organization Capability and Competitiveness of Chartered Public Universities in Kenya

Purpose: Knowledge has increasingly become one of the most critical determining factors for organizational competitiveness. In order to acquire and sustain a competitive advantage, it is vital for an organization to develop effective strategies that foster knowledge creation, transfer and integration in the performance of the organization. Knowledge organization refers to activities such as document description, indexing, and classification that provide systems of representation and order for information and knowledge materials. The purpose of this study was to establish the relationship between knowledge organization capability and competitiveness of chartered public universities in Kenya. Methodology: The study adopted a descriptive design. The population of the research consisted of 31 chartered public universities authorized to operate in Kenya as at December 2020. The study adopted a census methodology while purposeful and convenient sampling was adopted to select respondents amongst the middle level management staff. The study used both secondary and primary data. A self-administered questionnaire was used as the primary data collection instrument. Out of 155 questionnaires that were sent out, 123 were filled and returned. Statistical Package for Social Studies (SPSS) was used for data analysis. The study used regression model to estimate the level of significance which yielded a positive and significant influence of knowledge organization capability on competitiveness of chartered public universities in Kenya. Findings: The findings indicate that organizational initiatives such as effective knowledge collaboration and utilization, deployment of information technology systems that support knowledge organisation and easy access to information and data contribute to a healthy environment conducive for knowledge management. Owing to the foregoing, the study concluded that knowledge organization capability had a significant positive impact on competitiveness of chartered public universities. Unique Contribution to Theory, Practice and Policy: The study recommended that public universities needed to embrace knowledge organization capability in order to obtain sustainable competitive advantage.

Perencanaan Infrastruktur Teknologi Informasi di Rumah Sakit Khusus Mata Purwokerto Menggunakan Framework TOGAF

The development of information technology (IT) has had a significant impact on increasing the efficiency and quality of health services. Specialized Eye Hospitals, as facilities with specialized services, require IT infrastructure that can support medical and administrative operations optimally. The TOGAF framework (The Open Group Architecture Framework) offers a systematic approach to designing, managing and implementing effective IT architecture. This study aims to examine the application of TOGAF in IT infrastructure planning at a Special Eye Hospital. The research methods used include IT needs analysis, IT architecture modeling based on TOGAF, and evaluation of the architecture implementation. The research results show that the application of TOGAF is able to increase operational efficiency, speed up access to patient information, and improve overall service quality. This research contributes to providing practical guidance for other hospitals wishing to optimize their IT systems using the TOGAF approach.

Analisis Pengaruh Penerapan SIMRS Terhadap Kinerja Pegawai di Unit Rawat Jalan RSUD X

Hospital Management Information System abbreviated as SIMRS is an information technology system that is a system that can process everything in the hospital in the form of coordination networks, reporting and administrative procedures to obtain precise and accurate information. SIMRS is one of the components that can affect employee performance where SIMRS helps employees in completing all services. The purpose of this study was to see the effect of SIMRS in improving employee performance. This research uses quantitative research with descriptive methods conducted at Arifin Achmad Hospital, Riau Province. This research was conducted through distributing questionnaires with 67 respondents, namely Outpatient Employees of RSUD Arifin Achmad Riau Province who use SIMRS. The results of this study obtained from the processing of research data show that the influence of SIMRS has a significant effect on the Performance of the Outpatient Unit of the Arifin Achmad Hospital Riau Province. This can be seen with a sig value of 0.002 &lt;0.05.