Efficient Service Research Articles

QUEUE MANAGEMENT SYSTEM FOR COMMUNITY HEALTH CENTRE (CASE STUDY: PUSKESMAS UMBAN SARI)

The Community Health Center Queue Management System is an Android and website-based online queuing system. The purpose of this research is to help Puskesmas Umban Sari who faces difficulty in managing patient queues. The main process handled by the system is registration and data recapitulation. The system has two queuing features that can be activated or not as needed, namely the priority queue and linear queue. The development method in this research is done by using the Rational Unified Process (RUP). The tests carried out are black box testing, usability testing, and performance testing. Based on the outcomes obtained from black box testing, it can be determined that the system is functioning very well. The Usability testing with a total of 50 respondents shows a score of 84%, which means that this system is quite satisfactory and useful for users. Whereas in performance testing, the Load Testing and Stress Testing processes were obtained by 67%, which means that the performance of this system is quite good when given heavy pressure and many users access simultaneously. The system successfully reduced waiting times and improved service efficiency.

Matching Trees to Streets by Street Type: A Case Study of Street Tree Suitability and Services in a Highly Urbanized City

Street trees are a representative form of urban green space that play an important role in mitigating the environmental impact of urbanization. Planting the right tree in the right place in urban streetscapes can improve tree health and ecosystem services. Here, we propose a novel approach to selecting appropriate street trees using street type classifications. In the highly urbanized area of Uijeongbu City, South Korea, 221.9 km of streets with 19,717 street trees were classified into 12 types based on road width, aspect ratio, land use, and the presence of power lines. Appropriate tree species were selected for each street type, taking into account tree traits and functions as well as street environments. Then, we analyzed the structure and ecosystem-regulating services of street trees by type, also comparing the services of appropriate and non-appropriate trees. As a result, all 12 street types were identified, but their distribution was uneven. Tree dimension was the key factor in determining appropriate species, and, for the second most common street type, characterized by narrow roads, low aspect ratios, and power lines, only four appropriate species were identified, indicating an urgent need for more options. Additionally, the most dominant species accounted for over 20%, averaging 44% across the 12 street types, further highlighting the necessity of introducing more diverse tree species. Overall, appropriate street trees generally provided higher service efficiency compared to non-appropriate trees across four ecosystem regulating services. These findings emphasize the need for policies and guidelines that promote street tree diversity and enhance the ecological benefits of street trees. This study provides a foundation for developing sustainable street tree management strategies that contribute to healthier and more resilient urban streetscapes.

Enhancing Information Technology Governance in Universities: A Smart Chatbot System based on Information Technology Infrastructure Library

The rapid evolution of information and communication technologies has created a pressing need for higher education institutions to modernize their Information Technology (IT) governance practices. This article proposes an innovative solution to enhance the governance and efficiency of IT services while optimizing and personalizing user experience. The proposed solution consists of a chatbot using Artificial Intelligence (AI) and Natural Language Processing (NLP) combined with the Information Technology Infrastructure Library (ITIL) standard to automate the management of IT services in the digital work environment (ENT). Intended for students, teachers, and administrators, this chatbot provides reactive support by responding to requests, reducing waiting times, and improving satisfaction. It also helps decrease operational costs and the workload of support teams by autonomously handling recurring requests. Beyond efficiency improvements, the chatbot contributes significantly to IT governance by providing structured service management, improving decision-making through real-time data, and supporting compliance with governance frameworks. An online survey conducted among 120 students revealed slow processing of requests and unavailability of services, justifying the need for this chatbot. The chatbot was designed with advanced NLP and Machine Learning (ML) technologies. Preliminary tests demonstrate the chatbot’s response reliability, with an accuracy rate of 96% and a response time decrease to an average of 4.17 seconds. The use of chatbots has considerable potential for universities to improve the efficiency of digital services offered to students.

Effectiveness of Administrative Services at SMK Negeri 6 Makassar

The effectiveness of administrative services has the ability to provide efficient, responsive, and quality administrative services to all students in the school environment. This includes various aspects, such as student administration management, financial data management, new student admissions, school inventory management, and other administrative support. This study aims to determine the effectiveness of administrative services at SMK Negeri 6 Makassar. This research is qualitative. focusing on service procedures, service time, service costs, service products, facilities and infrastructure, and service officer competence. Based on the results of this study, it is shown that the effectiveness of administrative services at SMK Negeri 6 Makassar is categorized as Good. This can be seen from a number of factors or indicators that describe administrative services. Service procedures in schools are categorized as good because they have provided satisfactory services for students, as shown by effective communication between students and administrative staff, as well as the implementation of structured procedures, which are key factors in the success of the service. Service time is categorized as poor because students feel that despite efforts to improve service time efficiency, there are still various obstacles in implementation in the field. The main obstacles include the willingness of the principal's signature and the absence of service staff. Administrative service fees are categorized as good because the fees have been regulated according to school policy. Not all services are charged, school administration is categorized as good because the administration has tried to provide comprehensive and efficient services to meet various needs of students. Adequate facilities are categorized as good because they not only help in administrative services, but also support student learning as a whole, even though the facilities and infrastructure in the administration are quite good, there is a need for improvement and updating of equipment to further increase the effectiveness of administrative services and support student learning. The competence of Service Officers is categorized as good because they have technical and non-technical competence, service officers can carry out their duties more effectively and efficiently, and provide optimal service to students and all parties involved in the school.

К вопросу о критериях и показателях оценки организации качества и эффективности диспансерного наблюдения пациентов с психическими расстройствами.

An important area of improving mental health protection of the population is to increase the efficiency of dispensary observation of patients in psychiatric medical organizations, which allows achieving stabilization or improvement of their health, thereby increasing the quality of life of both patients and their relatives. To make the necessary management decisions on the part of the management of medical organizations aimed at improving the quality indicators of the organization and the efficiency of dispensary observation, appropriate information support is necessary. However, there are currently no separately developed criteria for assessing dispensary observation in the framework of primary specialized health care for mental disorders. Purpose of study is to substantiate the basic principles of systematization of criteria and indicators for assessing the organization of quality and efficiency of dispensary observation of patients with mental disorders for the purpose of monitoring and correct assessment of quality with subsequent adoption of adequate management decisions. Materials and methods. To systematize the criteria and indicators for assessing the organization of quality and efficiency of dispensary observation of patients with mental disorders, we used regulatory documents defining the activities of the psychiatric care system of the constituent entity of the Russian Federation, primary accounting and reporting medical forms, and the results of expert assessment. Results. Organizational and methodological approaches to the development and scientific substantiation of indicators for assessing the organization of quality and effectiveness of dispensary observation of patients with mental disorders included work with regulatory documents and analytical indicators used in the work of the OGBUZ «IOPD» and an expert assessment of the indicators of the effectiveness of dispensary observation of patients with mental disorders. The criteria and indicators for assessing the organization of quality and effectiveness of dispensary observation of patients with mental disorders were systematized into three groups, including a number of subgroups, which allows you to correctly assess the activities of the district psychiatrist’s office for dispensary observation of patients with mental disorders. Findings. Thus, the criteria and indicators for assessing the organization of quality and effectiveness of dispensary observation of patients with mental disorders allow you to receive information and make adequate management decisions regarding improving the structural efficiency of the psychiatric service as a whole, determine further actions to link them to regulatory documents and their subsequent digitalization. In general, the proposed methodological approaches make it possible to form an appropriate system of indicators for each hierarchical level of management of the psychiatric service.

Pengaruh Rekam Medis Elektronik Terhadap Efisiensi Pelayanan Kesehatan Poli Obgyn di RSU X

Electron Medical Records are essential for Health Services to ensure more efficiency and effectiveness in serving patients, especially in OBGYN Polyclinics. Having an Electronic Medical Record can make work easier. The aim of this investigation is to find out how electronic medical records influence the efficiency of health services. The research method employed a quantitative analytical observation design method. The population used was 2 doctors and 6 nurses at the ob-gyn polyclinic. The results from questionnaire and simple linear regression test revealed that it has a strong correlation and the Pearson correlation value is 0.704 and also the variables x and y have a significant influence. Then, it is found that the test done through SPSS version 26 was declared valid and reliable

A Deeper Understanding of Climate Variability Improves Mitigation Efforts, Climate Services, Food Security, and Development Initiatives in Sub-Saharan Africa

This research utilized the bagging machine learning algorithm along with the Thornthwaite moisture index (TMI) to enhance the understanding of climate variability and change, with the objective of identifying the most efficient climate service pathways in Sub-Saharan Africa (SSA). Monthly datasets at a 0.5° resolution (1960–2020) were collected and analyzed using R 4.2.2 software and spreadsheets. The results indicate significant changes in climatic conditions in Sudan, with aridity escalation at a rate of 0.37% per year. The bagging algorithm illustrated that actual water use was mainly influenced by rainfall and runoff management, showing an inverse relationship with increasing air temperatures. Consequently, sustainable strategies focusing on runoff and temperature control, such as rainwater harvesting, agroforestry and plant breeding were identified as the most effective climate services to mitigate and adapt to climate variability in SSA. The findings suggest that runoff management (e.g., rainwater harvesting) could potentially offset up to 22% of the adverse impacts of climate variability, while temperature control strategies (e.g., agroforestry) could account for the remaining 78%. Without these interventions, climate variability will continue to pose serious challenges to food security, livelihood generations, and regional stability. The research calls for further in-depth studies on the attributions of climate variability using finer datasets.

Reformasi Birokrasi dalam Peningkatan Pelayanan Publik pada Dinas Perindustrian, Perdagangan, Koperasi dan Usaha Kecil Menengah Kabupaten Paser Kalimantan Timur

This study discusses bureaucratic reform in improving public services at the Department of Industry, Trade, Cooperatives, and Small and Medium Enterprises (DISPERINDAGKOP UKM) of Paser Regency, East Kalimantan. This research uses a qualitative approach with a case study method, aiming to understand the role of bureaucratic reform in creating more effective, efficient, and transparent public services. A sample of 15 people was taken for this study. The research findings indicate that bureaucratic reform at DISPERINDAGKOP UKM contributes to improving service quality, strengthening human resource capacity, utilizing technology, and increasing community participation. However, there are several obstacles, such as limited human resources, regulations, and adequate infrastructure. Strategic steps, such as developing a reform roadmap, strengthening institutional structures, and implementing a meritocracy system, have been undertaken to address these challenges. This study emphasizes the importance of bureaucratic reform in supporting SME growth, enhancing competitiveness, and improving public trust in local governments.

Property Valuation: Using Machine Learning for Rent Value Prediction

The rising demand for rental spaces, such as hotel lodging rooms, has led property owners in high-potential areas to begin renting out their properties to meet this need. The Directorate General of State Assets (DJKN) under the Ministry of Finance, which manages state-owned assets, oversees approximately 1,100 room units with potential for rental. In alignment on increasing non-tax state revenue from state-owned assets (BMN), offering lodging room rentals as a form of BMN utilization presents a promising opportunity for expansion. To facilitate efficient rental services for these BMN rooms, a quick and accurate valuation process is essential. However, establishing fair rental prices for both property owners and tenants poses a significant challenge. This study, therefore, aims to develop automated valuation model (AVM). Since rental price predictions depend on various bebas variabels, the study employs several machine learning algorithms, including Ridge, Linear Regression, Random Forest (RF), Lasso, SVR, Elastic Net, and Extreme Gradient Boosting. The research focuses on rental markets in Jakarta, Bogor, and Bandung, using a dataset of fewer than 500 rental room samples sourced from marketplaces. These data points are adjusted for state-owned asset variabels, followed by feature engineering. The performance of the various algorithms is then compared. The results indicate that the best-performing model and the most important features vary by city, but overall, the Random Forest model delivers strong performance, with room size, road width, and room quality emerging as the most influential factors.

An edge server placement based on graph clustering in mobile edge computing

With the exponential growth of mobile devices and data traffic, mobile edge computing has become a promising technology, and the placement of edge servers plays a key role in providing efficient and low-latency services. In this paper, we investigate the issue of edge server placement and user allocation to reduce transmission delay between base stations and servers, and balance the workload of individual servers. To this end, we propose a graph clustering-based edge server placement model by fully considering the constraints such as the distance, coverage area and number of channels of base stations. The model mainly consists of a two-layer graph convolutional network (GCN) component and a differentiable version of K-means clustering component, which transforms the server placement problem into an end-to-end learning optimization problem on a graph. It trains the GCN network to achieve the best clustering results with the expectation of average delay and load balancing as the loss function to obtain the edge server placement and user assignment scheme. We conducted experiments based on the Shanghai Telecom dataset, and the results show the effectiveness of our approach in both latency reduction and load balancing.

The Impact Mechanism of Free Competition Among Financial Institutions on the Credit Accessibility of Farmers

Using data from rural fixed observation points in Zhejiang Province from 2003 to 2022, this study employs a difference-in-differences (DID) model to explore the impact of free competition among financial institutions on the credit accessibility of farmers and its underlying mechanisms. The results show that free competition among financial institutions significantly improves farmers' credit accessibility. The mechanism analysis indicates that such competition leads to an increase in the number of loan officers, promotes the marketization of certain financial functions, and enhances the dissemination of financial knowledge, thereby improving farmers' financial literacy and reducing financing constraints. Specifically, agricultural industrialization and digitalization both indirectly affect the relationship between free competition among financial institutions and farmers' credit accessibility. Based on these developments, financial institutions are able to provide more efficient and convenient financial services, contributing to the formation of a financial ecosystem. Further analysis reveals a noticeable "siphoning effect" of financial competition in Zhejiang Province, where it significantly promotes the growth of rural credit in the region while suppressing the growth of rural credit in neighboring areas. The study’s conclusions offer both empirical insights into rural financial market reform from the perspective of policy changes and practical reference from the perspective of regional spillovers for the development of rural finance.

Impact of provincial economic development levels on public–private hospital co-development in China: an empirical analysis

IntroductionThe co-development of public–private hospitals in China’s healthcare system significantly influences the system’s service utilisation, but the public–private hospital interaction is poorly understood. Bridging this knowledge gap is crucial for...

Green innovation in Norwegian firms: Navigating the complexity of productivity and performance

In an era where sustainability demands are increasing, green innovation (GI) is garnering widespread acclaim for its profound social and environmental benefits. This study explores how GI affects productivity and efficiency in Norwegian service and manufacturing firms, using a state-of-the-art stochastic frontier model (semi-parametric smooth coefficient) tailored to analyze firm-specific impacts essential for competitiveness in a green economy. We identify two main pathways through which GI affects productivity: technological heterogeneity and shifts in inefficiency. The impact on technology is split into neutral (direct) and non-neutral (indirect) effects, with the neutral effect being independent of factor inputs, and the non-neutral effect being influenced by both technology heterogeneity and input levels. We evaluate the marginal effects of GI on productivity through technology and inefficiency. Our GI construct includes innovations such as reduced material/energy use, lower CO2 emissions, noise reduction, hazardous material substitution, and adoption of renewable energy. Analyzing data from 3,130 Norwegian firms, our findings highlight the crucial role of GI in sustainability, underscoring its strategic importance across sectors. We find a positive neutral pathway effect but negatively impacts productivity through non-neutral pathways. GI also positively influences inefficiency, particularly in manufacturing.

Mapping the values of radiology

BackgroundWhile there is an extensive literature on low-value imaging, there is no agreed definition of the concept. However, a clear and consistent definition of low-value imaging is crucial for providing comparable and targeted research, and for increasing the quality, safety, effectiveness, efficiency, and sustainability of imaging services. Accordingly, the purpose of this study is to provide a definition of low-value imaging. Materials and MethodsReview and assessment of definitions of low-value care and of practical measures of low-value imaging in the literature combined with standard concept analysis to elaborate a definition of low-value imaging according to standard criteria for definitions, such as precision, non-circularity, applicability, (theoretical) justification, and distinctability. The applicability of the suggested definition is assessed by testing it on practical tasks and examples ResultsBased on a study of definitions of low value care and practical measures of low value imaging in the literature this study develops a definition of low-value imaging: Low value imaging is imaging that does not contribute to reducing the overall pain, dysfunction or suffering of the person that is examined (compared to alternative actions). Accordingly, low value imaging can result in more harm than benefit, may not change the clinical management of the patient, or not be cost-effective. The suggested definition satisfies general criteria for definition, is able to address practical tasks and examples of imaging, and can differentiate valuable from non-valuable imaging. ConclusionA clear and consistent definition of low-value imaging is provided and is crucial for improving the quality, safety, effectiveness, efficiency, and sustainability of medical imaging. The suggested definition can be used to differentiate between valuable and non-valuable imaging.

Factors That Influence Cybersecurity Compliance Behaviours by Bank Employees: A Case of Banks Operating In Kenya

Digitization of transactions in Banks has developed exponentially since the advent of the internet technology. This has brought about efficiency and high quality service delivery at all times. However, cyber threats also continue to grow exponentially in spite of various initiatives to counter the threats. There are numerous technology initiatives to address the issue of cyber threats but the problem still persists. There is very limited research on how to leverage on human behaviours to effectively improve Cyber security compliance behaviours in Banks. Investigating Cyber security Compliance behaviours in Banks has therefore become inevitable. The main purpose of this study was to determine the factors that influence cyber security compliance behaviours in banks operating in Kenya. This was accomplished using a model that was based on an integration of three theories: Institutional Theory, the Protection Motivational Theory (PMT) and the General Deterrence Theory (GDT). In order to empirically test the relationships between the independent and dependent variables, data were collected from 75 purposively selected bank employees in Kenya. The Research was carried out using the mixed (both quantitative and qualitative) approach and survey tools used to collect data were verified for reliability and validity before being used. Data analysis was carried out using SPSS Version 25.0, MS Excel 2013, and WarpPLS (SEM) Version 7.0. The findings of our study indicate that the direct paths from the independent variables “Normative pressure” (p = 0.026, β = 0.213), “Self-Efficacy” (p < 0.001, β = 0.440), “Punishment certainty” (p = 0.024, β = 0.217), “Age” (p = 0.013, β = 0.243), “Prior experience with computers” (p = 0.004, β = -0.284) were found to have a positive, direct and significant influence on a bank employee cyber security compliance behaviours. “Top management commitment” was found to partially mediate between self-efficacy and Cyber security compliance behaviours. Bank management may find the results useful for future policy formulation in relation to cyber-security compliance behaviours. Researchers and scholars may also find the results useful in terms of contribution to the body of knowledge and further investigation to fill the gaps identified by the study.

Generative artificial intelligence, present and perspectives in public administration

Artificial Intelligence (AI) is playing an increasingly important role in public administration, offering innovative solutions for efficiency and better public services. The application of AI in public administration aims to modernise and streamline the services offered to citizens. AI contains advanced algorithms, neural networks, and machine learning techniques to improve performance and efficiency over time. Smart algorithms, responsibly implemented, could help governments enhance service delivery and strengthen citizen engagement in local, city, regional, and national administrations around the world. Governments in some states have discreetly launched pilot programs to test developing AI applications, demonstrating an enthusiasm for technology at least as great as that in the private sector. By utilising AI, public administrations can automate repetitive processes, optimize resource usage, and improve interaction with the public. The purpose of the research is to show the extent and scope that AI tools integrated into organisations have in almost all areas of the public and private sectors in general, and state administrations in particular. The research objectives were: to analyse the dynamics of investments in AI tools; to discover the main services in state administrations that can be better performed using AI; to analyse the risks; and to highlight the perspective of development and integration of AI in public administrations of a few European states. The research is based on a comparative analysis of the implementation of AI tools across fields, components, and regions at the European level mainly, but also for Romania. The analysis period is 2021-2030. The results show a continuously increasing trend and an ever-faster rate of assimilation of AI tools in the field of public administration in an increasing number of states from most developed regions worldwide.

Strategic alignment and performance measurement in outsourced business processes: A comprehensive analysis of Key Performance Indicators (KPIs) and streamlining strategies

A dearth of studies has been conducted to figure out the positive spin-offs of outsourcing services by organizations. Most studies are focused on establishing the relationship between outsourcing and financial efficiency. However, outsourcing has benefits that reach beyond financial and operational efficiency. This study was aimed at examining the progression, utilization, and synchronization of key performance indicators (KPIs) to optimize the outsourced services. Specifically, the study aimed at evaluating the efficiency of KPIs used to measure the efficiency of outsourced services, evaluating tactics used by organizations to align their objectives with outsourced services, and assessing the difficulties experienced by organizations in their attempt to optimize outsourced services. To achieve its objectives, the research employed qualitative, quantitative, and content analysis to collect data. Further, the study applied thematic analysis and inferential statistics to derive conclusions from the data that was collected. The analysis indicated that there is a strong positive correlation between performance metrics and success of outsourced services. Additionally, strategic alignment emerged to be an important factor in the success of outsourcing. Also, the findings indicated that alignment of key performance indicators with strategic objectives results in success of outsourcing. The study concludes that performance metrics, strategic alignment, and key performance indicators are determinants of outsourcing success.

Penerapan Sistem Informasi Akuntansi Dalam Peningkatan Efisiensi Pada Pelayanan Rawat Inap Di UPTD Puskesmas Hiliweto Gido

Every information related to accounting is handled by the Accounting Information System. (AIS). The purpose of this study was to assess whether the accounting information system at the UPTD Hiliweto Gido Health Center has been implemented successfully and efficiently, and to examine the function of the system in inpatient services. The research methodology of this study uses an exploratory qualitative approach, specifically by using the Google Scholar internet database to obtain secondary data from national papers and conducting focused interviews. The results of this study are that the installation of the accounting information system at the Hiliweto Gido Health Center has been successful based on research findings. This study examines how a more integrated and real-time accounting information system can improve the efficiency of inpatient services at the Health Center, especially in resource management and financing.

Perancaangan Sistem Informasi Apotik Berbasis Web: Optimalisasi Layanan Pelanggan

This research discusses the development and implementation of a "Web-Based Pharmacy Information System" which aims to improve the efficiency of customer service and drug inventory management. By using web technology, PHP programming language, and MySQL database, this system allows pharmacies to monitor drug stocks in real-time, manage patient information, and provide integrated services. The use of PHP and MySQL in developing this application allows the automation of administrative tasks, including drug stock tracking, orders, and patient data management. This system also facilitates customer service with easy access to drug information and online drug ordering services. The research results show that the implementation of the Web-Based Pharmacy Information System has succeeded in increasing pharmacy efficiency, reducing drug stock shortages, and improving customer service. This system supports integrated drug management by integrating patient data, drug stock and customer service in one platform. Overall, this system illustrates how the use of web, PHP, and MySQL technologies can optimize customer service and medication inventory management in the pharmacy context, providing major benefits to pharmacies and patients.

Telemedicine Platform with AI and Cloud Technology

The rising demand for accessible and efficient healthcare services has hastened the adoption of telemedicine solutions. This paper presents Telemedicines, an overarching platform that integrates virtual medical consultations with expedited delivery of medicines. In this way, the system addresses the most significant gaps in healthcare: permits patients to consult certified healthcare providers, receive digital prescriptions, and ensure the delivery of medications within hours. The proposition currently uses the same technologies to optimize logistics and ensure patient information. Data management, Telemedicines is going to change healthcare accessibility and responsiveness. This paper presents the goals, architecture, workflow, and potential impact on society of the telemedicines platform