Information System Research Articles

Effect of the Application of Accounting Information Systems Artificial Intelligence Based on Quality Financial Statements with Control System Internal as a variable moderation in Bank 9 Jambi

This study aims to determine the effect of implementing an artificial intelligence-based Accounting Information System on the Quality of Financial Statements moderated by the Internal Control System. The population used in this study were Bank 9 Jambi employees. Determination of the research sample using the Purposive Sampling method. The data used in this study is primary data. Respondents in this study were 30 respondents by distributing questionnaires using a Likert Scale. The analysis technique used is Partial Least Square (PLS). The result showed that The Artificial Intelligence-Based Accounting Information System has a positive effect on the Quality of Financial Statements and the Internal Control System can moderate the effect of the Artificial Intelligence-Based Accounting Information System on the Quality of Financial Statements.

Distance Health Services Organization in University Hospitals: The Case of a Public University Hospital

In today's globalized healthcare market, it has become a necessity for healthcare organizations to strive to provide the healthcare services needed by their target audience with modern medical technology and software, regardless of physical space, country and/or geography. In fact, although distance health services and tele-medicine applications are not new applications, they have been increasingly used by healthcare organizations due to the physical transmission feature of the New Coronavirus Disease (Covid-19) or corona pandemic. The aim of this study is to analyze the legal dimension of Distance Health Services (DHS) in a public university hospital, the path to be followed to obtain a “Distance Health Service Activity Permit Certificate”, the characteristics, quantity and qualifications of the human resources to provide health services, the physical structure of the areas to be served and the information technologies, information systems to be used, the ministry audit criteria related to the pricing, invoicing and refund methods of health service fees, and to contribute to the structuring stages of distance health services of similar health institutions.

Building Information Modelling from Cadastral Plans and Application to an Italian Case Study Building Using Innovative Strategies

This paper explores the applicability of different methods to construct a Building information System Model (BIM) from 2D plans and, more specifically, cadastral plans. The explored procedures use three different approaches to build BIMs: one manual, one semi-automatic based on Rhinoceros/Grasshopper, and one based on Artificial Intelligence (AI). To analyse the performance of the three methods, the case study of a masonry building located in an Italian historic centre is used. The fastest is the AI-based method, although it has some limitations in automatic recognition of some objects. This latter aspect was further explored by analysing a very large dataset of cadastral plans. The results show good recognition of wall elements, but problems arise in the recognition of other elements, such as doors and windows. The manual method, on the other hand, allowed for the construction of a detailed model of the considered structure. However, the method requires strong user interaction and longer time frames than the AI-based method. The semi-automatic based method requires quite a lot of pre-processing but through an algorithm in Grasshopper a fast and detailed modelling of the structure is obtained. The paper also outlines future scenarios for the full exploitation of cadastral data.

ANALISIS POLA DISTRIBUSI CURAH HUJAN LEBAT DOMINAN DI DAERAH ALIRAN SUNGAI (DAS) CITANDUY HULU

Rainfall plays an important role in hydrological and environmental planning. Meteorological conditions affect rainfall through its intensity, amount, and duration. However, heavy rainfall can cause significant damage and loss. Research was conducted in the Upper Citanduy watershed, West Java, using rainfall data from 8 stations over a range of 5–14 years. The study took a heavy rainfall event threshold of ≥ 50 mm in 24 hours. The research aims to analyze the dominant heavy rainfall patterns in the Upper Citandyu watershed. Empirical analysis used the Mononobe Method and Alternating Block Method (ABM), while rainfall distribution was analyzed with Inverse Distance Weighted (IDW) using Geographic Information Systems. The dominant heavy rainfall duration in the Upper Citanduy watershed occurred over 4–6 hours. Rainfall distribution analysis showed a pattern that was not influenced by the elevation of the rainfall station. The analysis results show that the Mononobe Method is closer to the dominant observed heavy rainfall distribution for 4 hours, while ABM is closer to the durations of 5 and 6 hours. The suitability of the distribution pattern was measured using Correlation (r), Root Mean Squared Error (RMSE), and Nash-Sutcliffe Efficiency (NSE) criteria, with Mononobe providing better results than ABM method. This research contributes to the understanding of rainfall patterns that can form the basis for analyzing designed rainfall intensity as a step in flood disaster mitigation in the Upper Citanduy watershed.Keywords: heavy rainfall, rainfall distribution pattern, rainfall intensity, upper Citanduy watershed, geographic information system

Implementasi Sistem Informasi Manajemen Nikah Online (Simkah) dalam Administrasi Pernikahan di Kua Kecamatan Bajeng Kabupaten Gowa

This study aims to analyze the implementation of the online Marriage Management Information System (SIMKAH) in marriage administration at the Office of Religious Affairs (KUA) of Bajeng District, Gowa Regency. The main focus of this research is to understand how SIMKAH is implemented and the obstacles faced in the process. This study raises two main questions: (1) What is the role of the KUA in implementing SIMKAH in Bajeng District, Gowa Regency, South Sulawesi? and (2) What are the factors that hinder the implementation of SIMKAH in the KUA? This research uses a qualitative approach with triangulation methods in data collection, which involves observation, interviews, and documentation. The research informants consist of the Head of KUA and administrative staff directly involved in the implementation of SIMKAH. The approach used in this study is normative and juridical, which allows the researcher to understand the legal aspects and regulations related to SIMKAH. The results of the study show that the implementation of SIMKAH at the KUA of Bajeng District has made a positive contribution to improving the efficiency of marriage administration; however, several challenges remain, including limited human resources and inadequate technological infrastructure. These findings are expected to serve as an evaluation for improving technology-based marriage administration services at KUA.

Analysis of the Legislation of the EEU Countries in the Field of Combating Cybercrime

The article presents an analysis of cybersecurity legislation in the member countries of the Eurasian Economic Union (EAEU), focusing on Russia, Kazakhstan, Kyrgyzstan and Belarus. In four parts of the article, the main aspects of the legal regulation of cybercrime in each of these countries are considered, as well as problems and shortcomings in legislation are identified. Outdated norms and ambiguities in legislation that are unable to adequately respond to modern challenges of cybercrime are discussed. The importance of an integrated approach to cybersecurity is emphasized, which includes not only legal regulation, but also technical, organizational and educational measures. It is proposed to conduct a more in-depth analysis and comparison of legislation to identify common trends, differences and the effectiveness of measures taken in the fight against cybercrime.Aim. Analysis of the legislation of the Eurasian Economic Union (EAEU) member states in the field of cybersecurity and cybercrime prevention, identification of common trends and differences, evaluation of the effectiveness of measures taken, and determination of directions for further improvement of cybersecurity in the region.Tasks. Analysis of the legislation of the EAEU member states in the field of cybersecurity, evaluation of measures taken to counter cyber threats, identification of common trends and differences in regulatory approaches, determination of directions for improving the legal framework and practical measures in combating cybercrime.Methods. Analysis of the legal acts of the EAEU member states on cybersecurity and cybercrime, comparative analysis to identify common trends and differences, evaluation of the effectiveness of legislation in countering cyber threats, identification of problems, and proposal of directions for improving the legal framework considering modern challenges in cybersecurity.Results. Expected improvement in information exchange and experience sharing, development of common strategies and standards in cybersecurity, reduction in the number of successful cyberattacks through joint efforts, and enhancement of the security level of information systems and data through joint technical and organizational measures.Conclusions. Cooperation among the EAEU member states in cybersecurity can lead to a reduction in the number of cybercrimes, enhancement of the security level of information systems and data, stimulation of innovative development in the digital sphere, and strengthening trust in electronic services and the development of the digital economy in the region, which are key aspects in the modern information society.

Mechanical Expertise Management for the Information Management inScaling Systems with Deep Learning Process

Dynamic scaling information management refers to the adaptive process of adjusting resources and managing data in real time to meet varying demands in computational and storage environments, particularly in cloud computing and data-intensive applications. This approach ensures optimal performance and resource utilization by automatically allocating or deallocating computing power, storage capacity, and network bandwidth based on current workloads and system performance metrics. Key components include monitoring tools that continuously assess resource usage, predictive analytics to anticipate future demands, and automated orchestration systems that execute scaling actions without human intervention. This paper introduces Predicted Dynamic Scaling in Information System Development (PDS-ISD) as a novel framework for talent cultivation within ISD education. By synthesizing empirical observations and theoretical models, PDS-ISD offers a predictive tool to forecast talent cultivation outcomes based on key educational factors. Through a comprehensive review of literature, the paper explores the theoretical foundations and practical applications of PDS-ISD in ISD education. Additionally, simulated results demonstrate the effectiveness of PDS-ISD in predicting talent outcomes across various scenarios. The findings highlight the importance of factors such as curriculum design, instructor expertise, student readiness, and project demands in shaping talent cultivation outcomes. The paper concludes with implications for practice and future research directions to further enhance the predictive capabilities and applicability of PDS-ISD in ISD education. Additionally, simulated results demonstrate the effectiveness of PDS-ISD in predicting talent outcomes across various scenarios, with an average accuracy of 85%. The findings highlight the importance of factors such as curriculum design, instructor expertise, student readiness, and project demand in shaping talent cultivation outcomes

REFLECTION ON KEY ELEMENTS AND CHALLENGES OF TRIBES OF KERALA IN HIGHER EDUCATION: ROLE OF POLITICS AND ECONOMY

One child, one teacher, one book, one pen can change the world. Education is education. We should learn everything and then choose which path to follow. Education is neither Eastern nor Western, it is human. Malala Yousafza (2014). Education is the root of development and is the must tool to ensure equality of opportunity following this philosophy, the central and state governments have been making various efforts to educate the masses. Even after intensive programmes and policies offered by the central and state government, the development hasnt reached the education sector among the tribal community. According to Unified District Information System for Education (UDISE) 2016-17 about 19.6% of students belong to Scheduled Castes at the primary level, but this fraction falls to 17.3% at the higher secondary level. These enrolment drop-offs are more severe for Scheduled Tribes students (10.6% to 6.8%), and differently-abled children (1.1% to 0.25%), with even greater declines for female students within each of these categories. The decline in enrolment in higher education is even steeper. (National Education Policy, NEP,2020). Weak academic performance and the increasing dropout rate are even today common among Scheduled Tribe communities. Politics, economy, community, and gender are correlated with ones life aspirations, overall learning skills, and adjustment to the educational institution.

Distribution of Australian dental practices in relation to residential aged care facilities: A geographic analysis.

Limited access to oral health services contributes to poor oral health in institutionalised older adults. The objective of this study was to map and analyse the distribution of residential age-care facilities (RACFs) in relation to dental practices across Australia. Age-care data were sourced from the Australian Institute of Health and Welfare. The data were categorised according to the Australian Bureau of Statistics remoteness index in each state and territory, defined by a geographic coordinate system. The structure of remoteness area data was integrated into RACF data using a geographic information system. Buffer analysis in QGIS was employed to calculate the buffer distance surrounding RACFs by identifying dental practices relative to a measuring distance. In total, Australia had 2718 RACFs and 7379 dental practices (both private 95.5% and public 4.5%). In all States, more than a third of metropolitan RACFs were within accessible reach of a private practice (ranging from 37% of RACFs in NSW to 55% in WA). However, proximity to public clinics was low, ranging from only 4% (WA) to 9% (QLD). More than one-fifth of metropolitan RACFs in NSW, QLD, WA and ACT (ranging from 20% to 24%) were not within accessible proximity of either a public or private dental clinic/practice. While more than 70% of RACFs in regional and remote Australia are reasonably close to dental practices, areas with inadequate access exist, with the highest percentage recorded in WA (6%). Ensuring an equitable distribution of dental practices relative to RACFs is crucial in bridging the service access gap in underserved areas.

Reliability Assessment of Power Distribution Cyber–Physical Systems Considering the Impact of Wireless Access Networks

With the rapid increase in the number of various terminal devices in distribution systems, the important impact of communication networks on power supply reliability in cyber–physical distribution systems (CPDSs) is becoming increasingly prominent. The traditional wired communication method makes it difficult to meet the demand in some scenarios due to high cost and construction difficulty. For this reason, this study evaluated the reliability of power distribution cyber–physical systems, considering fifth-generation (5G) mobile communication technology wireless access conditions. First, a reliability model of a communication channel in a 5G communication network was established, and the indirect impact of information system failure on the power distribution system was analyzed. Secondly, a reliability assessment method based on the improved least path method was devised by combining switch action failure, self-healing processing, and load transfer. The simulation results show that 5G communication technology has significant advantages in improving system reliability, and the proposed method is closer to the development direction of future power distribution systems, which provides an effective reference basis for the optimized operation of power distribution cyber–physical systems.

Cardiovascular Disease and Diabetes Are Among the Main Underlying Causes of Death in Twenty Healthcare Facilities Across Two Cities in the Democratic Republic of Congo

Introduction: The mortality rates associated with cardiovascular disease (CVD) and diabetes exhibit disparities by region, with Central Africa ranking fourth globally in terms of mortality rate. The Democratic Republic of Congo (DRC) does not possess mortality data pertaining to these specific underlying causes of death. This study aimed to determine the death rate attributable to CVD and diabetes in two cities in the DRC. Methodology: The data on CVD and diabetes utilized in this study were obtained from a pilot project and were registered in the National Health Information System (NHIS). Data quality was initially evaluated using an automated Digital Open Rule Integrated Selection (DORIS), followed by an assessment conducted manually by three assessors. Descriptive and comparative analyses were carried out to determine the proportion of mortality related to CVD and diabetes. Results: CVD accounted for 20.4% (95%CI: 17.7–23.4%) of deaths in the two cities (Kinshasa and Matadi), whereas diabetes accounted for 5.4% (95%CI: 3.9–7.2%). After adjusting for age and city, the proportional mortality from CVD and diabetes was higher for women than men and increased with age. This study recorded 4.4% of deaths among men and 7.0% among women as the proportional mortality from diabetes. Conclusions: Non-communicable diseases (NCDs) continue to be a major cause of death, and CVD and diabetes are among the leading causes of early mortality in adults in urban areas. The proportional mortality related to CVD and diabetes appears to be higher in women than in men. Special emphasis should be placed on women, particularly during adulthood, to ensure the prompt detection of diabetes and cardiovascular conditions.

OPTIMIZATION OF GYM CHECK IN AND MEMBERSHIP INFORMATION SYSTEM QR CODE SCANNER BASED

The development of information technology provides opportunities to improve operational efficiency in various fields, including membership management at gyms. A QR code scanner-based information system is an effective solution for managing gym member check in. Users can check in simply by scanning a QR code that is linked to their membership data. This system not only facilitates the attendance process but also helps managers monitor the number of member check in, remaining attendance quota, and attendance time. This researcaims to design and implement a QR code scanner-based check in system at the gym, as well as analyze the impact of the system on operational efficiency.

Spatio-Temporal Variation in Pluvial Flash Flood Risk in the Lhasa River Basin, 1991–2020

The analysis of temporal and spatial variability in risk has garnered significant research attention, particularly regarding flash flood disasters in the context of warming and wetting conditions on the Qinghai–Tibetan Plateau. Focusing on the Lhasa River basin, this study develops a framework that integrates geographic information systems and a combined subjective–objective weighting approach to comprehensively assess flash flood risk despite limited observations. This paper investigates the distribution patterns of hazard, vulnerability, and the integrated risk of pluvial flash floods; demonstrates the reliability of the assessment results; and provides mitigation recommendations for disaster risk management at the county level. The results showed a trend in increasing flash flood risk in recent decades compared to the 1990s. Moreover, very-high- and high-risk areas were concentrated in downstream regions with frequent precipitation extremes and anthropogenic activity. From 1991 to 2020, the high to very high-risk areas gradually expanded from central Lhasa to neighbouring counties. This study contributes valuable insights into flash flood risk assessment cand mapping, which are crucial in terms of the protection of life and property in the plateau basin.

Digital solidarity and adaptation: applications developed for refugees in host countries

The scale of international migration is growing day by day, and the issue of refugees constitutes a significant agenda item for all countries. In today's digital age, characterized by technological advancements, refugees are also benefiting from the advantages of technology. With various applications downloaded to their mobile phones, refugees can directly access all kinds of information about the countries they are heading to and even communicate with each other to share experiences. This study explores how mobile phone applications can be developed to serve the refugees in the familiarizing themselves with the receiving culture. In the study, a total of 10 applications prepared for refugees on Android and iOS platforms, selected by random sampling and purposeful sampling methods, were examined. These applications were analyzed using the qualitative content analysis method. As a result, when the applications developed in host countries were examined, it was observed that the most needed basic information for refugees, such as housing, education, finding a job, health, language, daily words, legal documents, rules, and fundamental rights, was provided. Additionally, in the 10 refugee applications examined, Global Positioning System (GPS) and Geographic Information System (GIS) were used as locative media for mapping locations. Location-based data and maps that show where refugees are located are extremely important for them. These maps are believed to help reduce stress, make them feel safe, and facilitate the adaptation process by showing refugees the nearest shelters, dining places, hospitals, transportation, and asylum locations.

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.

Comparative Study of an Energy Information System and Energy Management System According to ISO 50001

Energy management, especially in communities, is attracting growing interest but is often marred by confusion between the terms “energy information system” (EIS) and “energy management system” (EMS). This ambiguity hinders understanding of their uses and roles in improving energy performance. Our objective is to clarify these terms and their contributions to energy management. We used a mixed qualitative and quantitative approach to evaluate and compare the criteria of definition, objective, functionality, and role, as well as correlated elements, such as organizational structure, responsibilities, planning, and policy, according to the requirements of ISO 50001, in addition to criteria specific to the two systems. The study revealed differences in the roles of the EIS and the EMS, with a complementarity of 40% between the two systems depending on the positioning of the EIS in relation to the elements of the EMS process. The EIS plays a crucial role in facilitating the implementation of the EMS according to ISO 50001. This clarification contributes to a better understanding of the respective roles of these systems in energy management, thus helping communities to improve their energy performance in an effective manner.

Data-Driven Insights for a Holistic Understanding of Research Culture

Research environments (and their measurement and tracking) are becoming increasingly complex, with rapid Artificial Intelligence (AI) advancements, interdisciplinary collaboration, and global connectivity shaping the way research knowledge is created and disseminated. Within this dynamic landscape, universities hold an ever increasing collection of valuable data, which are stored within core operational systems including research information systems, research management systems or grants databases, human resource systems and course management systems. This treasure trove of information, often overlooked and underutilised, not only serves as a valuable tool in guiding strategic decisions, but also could be further used to provide a comprehensive approach to monitoring research integrity and culture. This critical reflection follows extensive conversations and debates around defining and assessing ‘research culture’. How can we possibly measure something that has, up until now, been viewed as merely a concept? How can we generate useful metrics that reflect the culture of a research institution? Our reflections will draw attention to the potential of leveraging readily accessible information to gauge and benchmark research integrity and culture practices. We discuss how regular habitual integration of these data sources enables continuous monitoring and measurement of research culture as well as the ability to assist in the assessment of interventions or initiatives designed to improve it. We reflect on how this approach ensures that University leaders have a consistent and up-to-date understanding of the research environment through which they can identify strengths, pinpoint areas for improvement, and cultivate a more robust, inclusive, and transparent research ecosystem. The current paper, through illustrative examples from one UK-based institution, explores the potential in harnessing existing data, such as collaborative trends and prevailing research practices, to gain valuable insights into the dynamics of academic research. In addition, we explore the advantages and drawbacks of using this data to develop potential metrics that can be used to recognise and reward a healthy research culture.

Mapping of Flood-Prone and Dengue Fever-Prone Areas in Tahtul Yaman Village, Pelayangan District, Jambi City

Floods are natural events that come suddenly with an uncertain periodicity, except for areas that often experience annual flooding, such as in Tahtul Yemen Village. This flood disaster can cause health problems that threaten society, one of which is the Dangue Hemorrhagic Fever (DHF) outbreak. This activity aims to carry out mapping of flood-prone areas and dengue-prone areas in Tahtul Yemen Village to provide education about the management and prevention of dengue fever in order to improve the health status of the community, especially those in vulnerable areas. This research is exploratory research with an ecological study research design using Geographic Information Systems (GIS). Based on data on flood-prone areas obtained from 12 RTs in Tahtul Yaman Village, 5 RTs had a high percentage of being affected by flooding, 4 RTs had a moderate percentage of being affected by flooding, and 3 RTs had a low percentage of being affected by flooding. Meanwhile, for dengue-prone areas, there are 7 RTs with a low percentage, 3 RTs with a medium percentage, and 2 RTs with a high percentage. In conclusion, it was found that in Tahtul Yaman Subdistrict areas prone to flooding with the highest dominance are in RT 11,12,5,9, and 7 and areas prone to Dengue Hemorrhagic Fever (DHF) are dominant in RT 7 and 9. It is recommended that the areas that have been mapped be included in prone to flooding and Dengue Hemorrhagic Fever (DHF) strengthen drainage systems, green infrastructure, and increase public awareness about disease prevention

Forecasting Daily Radiotherapy Patient Volumes in a Tertiary Hospital Using Autoregressive Integrated Moving Average (ARIMA) Models.

The purpose is to predict the volume of patients treated daily with radiotherapy using the autoregressive integrated moving average (ARIMA) model. In this retrospective study, data from the billing records detailing daily radiotherapy treatment sessions were extracted from the Hospital Information System and analyzed. The study included all patients treated from January 2004 to December 2022. The analysis was divided into two parts: First, the data were summarized using descriptive statistics. Second, time series forecasting with the implementation of an ARIMA model for estimating patient volumes. For the ARIMA modeling process, the Akaike Information Criterion (AIC) was used for classical model optimization. The Mean Absolute Percentage Error (MAPE) was used for evaluating between different models. Residual analysis was performed in each model using the Ljung-Box test, Jarque-Bera test, and heteroskedasticity test to identify autocorrelation, normal distribution, and variances that could undermine the reliability of the model. A total of 895,808 radiotherapy sessions were included in the study. The median number of radiotherapy sessions per day was 181 (150, 205). A clear transition to more modern radiotherapy equipment, particularly the Truebeam accelerator, was observed, indicating a growing dependency on advanced techniques such as volumetric-modulated arc therapy (VMAT), stereotactic body radiation therapy (SBRT), and stereotactic radiosurgery (SRS). The best ARIMA model predicted an increase in demand, projecting an average daily patient volume of 279.40 by 2030. The study highlights the need for advanced forecasting methodologies in healthcare resource planning and emphasizes the importance of considering environmental and external factors for effective and accurate resource allocation strategies.

Process for Leveraging Enterprise Architecture in Information Systems Strategic Planning: A Case of Developing a Strategy and Master Plan for a National Integrated Health Laboratory Information Management System in Uganda

Process for Leveraging Enterprise Architecture in Information Systems Strategic Planning: A Case of Developing a Strategy and Master Plan for a National Integrated Health Laboratory Information Management System in Uganda