This activity aims to determine the business feasibility of a photocopy service located in the Pattimura University campus area, Ambon City, by analyzing the Market and Marketing Aspects, as well as the Technical and Production Aspects. This activity uses a descriptive approach with data collection methods through interviews and direct observation, which are then analyzed using business feasibility aspects. The activity results show that the photocopy business is considered feasible from the market and marketing aspects, as well as the technical and production aspects. However, several things such as the availability of parking areas, queue management systems, and the arrangement of operational hours still need to be improved to support the effectiveness of the business. Overall, this photocopy business is feasible to be developed considering improvements in several other supporting aspects.

The problem of overcrowding of the healthcare facilities and prolonged waiting time is becoming more frequent, and this negatively impacts patient satisfaction, clinical results, and the hospital's efficiency. Predictive queue management has emerged as the best practice for handling this issue as it combines the use of real-time sensing, smart analytics, and human-centric information delivery. The present review systematically analyzes the past to the future of predictive queue management in healthcare, especially emphasizing Internet of Things (IoT) architectures, edge-based predictive analytics, and low-cognitive-load display mechanisms. We study the various sensing technologies used, the architecture of the system, and the different methods of predicting the patient flow and waiting time in real-time conditions. Furthermore, we study the provision of visualization and the interaction strategies that are intended to reduce the cognitive load on both the patients and healthcare staff. The main problems that are identified include the quality of data, privacy, scalability, and human factors, and the discussion of future research directions for intelligent, deployable queue management systems in smart healthcare settings is provided.

Virtual Queue Management System with Application to Admission Processes

This study aims to analyze the quality of patient administration services at Singgani Health Center in Palu City using the five dimensions of SERVQUAL approach (tangibles, reliability, responsiveness, assurance, and empathy). Health centers as primary health care facilities require optimal administrative systems to support smooth health service delivery to the community. This research employs a descriptive qualitative method with data collection techniques through in-depth interviews, observation, and documentation. Research informants consisted of administrative staff, head of administration, and patients selected through purposive sampling. Data analysis used the Miles and Huberman model including data reduction, data presentation, and conclusion drawing. The results showed that the quality of administrative services has generally been running well with the dimensions of reliability, responsiveness, assurance, and empathy showing positive performance. Administrative staff were assessed as responsive, friendly, meticulous in recording, and able to provide special attention to patients. However, the tangibles dimension still requires improvement, especially regarding the comfort of the waiting room during increased patient volumes. This study recommends optimization of physical infrastructure, enhancement of human resource capacity, development of queue management systems, and strengthening of periodic service monitoring and evaluation

Object detection models, such as you only look once (YOLO), are widely utilized for real-time applications; however, their computational complexity often restricts deployment on edge devices. This research investigates the optimization of YOLO models using OpenVINO, both with and without accuracy control, to enable efficient inference while preserving model accuracy. A two-step pipeline is proposed: first, YOLO models are converted into OpenVINO’s intermediate representation (IR) format, followed by the application of post-training quantization (PTQ) to reduce model size and enhance latency. Additionally, an accuracy-aware quantization approach is introduced, which maintains model performance by calibrating with a validation dataset. Experimental results illustrate the tradeoffs between standard and accuracy-controlled quantization, demonstrating improvements in inference speed while ensuring minimal accuracy degradation. This study provides a practical framework for deploying lightweight object detection models on edge devices, particularly in realworld scenarios such as autonomous systems, smart surveillance, and smart queue management systems.

Waiting times in outpatient departments (OPDs) significantly affect patient satisfaction, service utilisation, and healthcare outcomes. This study examined the determinants of waiting times and their implications for patients accessing OPD services at Korle-Bu Teaching Hospital in Ghana. A cross-sectional study was conducted among 274 adult patients attending selected outpatient departments (OPDs) of the Korle-Bu Teaching Hospital in Accra, Ghana. A multistage sampling technique was used: three OPD clinics were purposively selected, patient sessions were randomly chosen, and participants were systematically sampled from each session. Data were collected using a structured, pretested questionnaire administered by trained research assistants. The questionnaire captured sociodemographic characteristics, waiting times, factors contributing to delays, and the effects of long waits on service utilisation. Data were analyzed using Stata 17. Descriptive statistics summarised participants' characteristics and waiting times, while chi-square tests examined associations among categorical variables. Multiple linear regression was performed to identify determinants of waiting time, controlling for potential confounders. Model fit was assessed using standard diagnostic tests, and results were presented with coefficients and 95% confidence intervals. Ethical approval was obtained from the Korle-Bu Teaching Hospital, and informed consent was obtained from all participants. A total of 274 patients participated in the study, with a mean age of 34.1 years (±11.3); 51.8% were female, 61.3% married, and 38.7% had no formal education. Employment included civil servants (31.8%), farmers (23.7%), and traders (16.8%), while 45.3% had health insurance. Most visits occurred on Monday (34.3%), and early-morning arrivals were common (43.4%). Overall, 56.4% of patients experienced long waiting times (≥120 minutes), with median waiting times of 16 minutes at registration, 30 minutes for laboratory services, and 32 minutes for other diagnostics. Multivariable analysis showed that female sex, lower educational attainment, Monday visits, and early morning arrivals were significantly associated with longer waiting times. Employment status and insurance coverage were not statistically significant, though civil servants and insured patients tended to experience shorter waits. Prolonged waiting times were linked to missed appointments (53.4%), negative health impacts (39.7%), psychological effects, and low satisfaction, with only 31.2% willing to reuse hospital services. Interventions should include enhanced patient education, gender-sensitive practices, expanded weekend services, optimisedp scheduling, and digital queue management systems. Policymakers and hospital administrators must priioritise these strategies to reduce waiting times, improve patient satisfaction, and enhance healthcare outcomes. Though the study offers some insights into the determinants of waiting times, it also has some limitations. The study was conducted at a single tertiary hospital, limiting generalizability. Some potential determinants, such as patient health status, severity of illness, and organisational factors, were not assessed. Additionally, the cross-sectional design precludes causal inferences.

The car workshop queue management system at SMK Muhammadiyah Kawali still relies on inefficient manual processes, often leading to customer congestion, long wait times, and the risk of errors in data recording, thus reducing customer satisfaction and hindering operational effectiveness. Therefore, this research aims to design and build a Website-Based Car Workshop Queue Booking Information System to make it easier for customers to book queues online, improve operational efficiency, and reduce waiting times. The development method used is Rapid Application Development (RAD) to accelerate the development cycle. In its implementation, this system was built using PHP for the back-end, XAMPP as the local server, and MySQL as the database management system to store all queue, service, user, and payment data. With this system in place, it is hoped that the queue booking process will become more structured, thereby improving the quality of workshop services at SMK Muhammadiyah Kawali.

This study aims to analyze the quality of service in the issuance of the Poor Certificate (Surat Keterangan Tidak Mampu/SKTM) at Watuliandu Village, Kolaka District, Kolaka Regency. SKTM is a crucial document that enables underprivileged citizens to access social assistance and government welfare programs. Using a qualitative research approach, data was collected through observations, interviews, literature reviews, and document analysis. The findings indicate that the overall quality of SKTM services is generally good and efficient, as assessed through five key service quality indicators: tangibles, reliability, responsiveness, assurance, and empathy. However, several issues still hinder optimal service delivery. These include delays caused by the unavailability of the Village Head for document signing, inconsistent responsiveness among service staff, and varying degrees of empathy shown toward applicants. Based on these findings, the study recommends prompt coordination for document authorization, improvements in queue management systems, and enhanced staff training to increase professionalism and responsiveness, ultimately ensuring better service delivery for the community in need.

Purpose This study aims to enhance administrative service quality in higher education by developing an integrated framework for registrar’s office operations. It addresses a notable research gap by applying the HESQUAL model alongside quality function deployment (QFD) and the Kano Model, which are rarely used together in educational administration. This integration allows for capturing student needs, translating them into technical actions and prioritizing service improvements based on impact. Design/methodology/approach An exploratory sequential mixed-methods design was used. Qualitative interviews and focus groups with students were used to construct a HESQUAL-informed survey instrument. The final survey, refined through expert validation and pilot testing, was administered to 286 respondents. Quantitative analysis included QFD matrix construction and Kano classification. Internal consistency was confirmed with a Cronbach’s alpha of a = 0.805, indicating acceptable reliability. Findings Six out of ten service attributes were classified as “must-be” requirements. Responsiveness, clarity and timely assistance emerged as top priorities. The House of Quality highlighted interventions such as queue management systems, digital interface redesign and staff training. Kano analysis emphasized foundational service elements as critical to satisfaction, underscoring the need for reliable and student-centered service delivery. Practical implications Findings provide institutional leaders with actionable strategies to align registrar services with student expectations, strengthen frontline support and enhance student satisfaction. Originality/value To the best of the authors’ knowledge, this study is the first to integrate HESQUAL, QFD and the Kano Model in the context of a registrar’s office. It offers a replicable, evidence-based framework that bridges theory and practice, advancing service quality innovation in higher education administration.

Abstract This study presents a Smart Queue Management System that uses QR code technology to improve service efficiency and boost customer satisfaction in banking and similar service industries. Traditional queue methods often cause problems due to manual token distribution and long waiting times, leading to customer frustration and inefficiencies in operations. The proposed system addresses these concerns by allowing customers to scan a QR code with a mobile application. This process automatically generates a digital token and records the customer's arrival time in a secure database. Built with Java and XML for the front end and SQLite for the back end, the system ensures lightweight, efficient, and secure data management. By automating queue distribution, customers can track their token status in real time, while administrators can manage queues through an easy-to-use dashboard. Experimental evaluations show that the system significantly reduces waiting times, lessens the need for human involvement, and improves overall service efficiency. The results suggest that QR code-based queue management systems offer scalable, user-friendly, and cost-effective solutions that can change traditional service delivery into smart, automated environments. Keywords: queue Management, QR Code, Mobile Application, Token System, Customer Service, Automation, Banking System

Background: The quality of hospital service and clinical governance depends heavily on patient satisfaction as an essential indicator. The identification of satisfaction determinants helps healthcare providers enhance their delivery methods, particularly in public hospitals with limited resources.Objective: The research investigated patient satisfaction while applying Six Sigma principles to determine its essential determinants in a tertiary care government hospital.Methods: A facility-based cross-sectional study took place from November 2023 to December 2024 by selecting 400 patients through random methods. The 19-item structured questionnaire assessed patient satisfaction in three domains that included service utilization, patient-provider interaction, and facility-related factors. A five-point Likert scale evaluated the general satisfaction of patients. The researchers used SPSS to analyze the data through factor analysis and bivariate regression to identify the predictors.Results: The patient satisfaction level reached 80.4% in the study. The clinical care delivered by doctors and nursing staff proved to be the primary factor that satisfied patients. Facility-related amenities showed substantial gaps because patients expressed dissatisfaction with toilet cleanliness, waiting space availability, dietary services, and pharmacy queue lengths. The unclean state of toilets proved to be the primary cause of patient dissatisfaction because 40% of participants expressed their discontent. The study revealed that elderly patients together with those who reported poor health status demonstrated lower satisfaction levels. The analysis showed that service quality improvements directly resulted in increased patient satisfaction.Conclusion: The overall satisfaction scores were positive, but nonclinical service domains require substantial improvement. The satisfaction levels could increase substantially through hospital hygiene improvements, outpatient procedure optimization, patient-provider communication enhancement, and technology-based queue management systems. The implementation of the Six Sigma methodology for regular monitoring enabled healthcare providers to develop evidence-based strategies that enhance clinical governance in government hospitals.

This study aims to evaluate the implementation of administrative policy changes in public services in the Sirombu District Office, West Nias Regency. The method used in this study was an in-depth interview with ten informants, comprising employees and members of the public. The results of the study show that the implementation of the new policy has increased the efficiency and transparency of services, primarily through the simplification of procedures and the implementation of a one-stop service system. This transformation has significantly reduced the processing time for various administrative tasks, making the public service experience smoother and more efficient for the citizens. The simplification of procedures has also helped in reducing bureaucratic red tape, enabling faster approvals for permits and other official documents. Moreover, the one-stop service system has consolidated various services in a single location, which minimizes the need for citizens to visit multiple offices, thus saving both time and effort. However, there are obstacles faced in the implementation of this policy. These include limited infrastructure, particularly inadequate IT infrastructure and unreliable internet access, which hampers the smooth execution of online services. Low digital literacy among some citizens further complicates the effective utilization of the new system. Moreover, there is a lack of adequate employee training, which results in inefficiencies in handling digital systems and responding to public queries. Despite these challenges, the public has responded positively to the policy, recognizing its potential to improve service delivery. However, certain shortcomings still need to be addressed, such as improving the clarity of procedures, enhancing queue management systems, and addressing the needs of vulnerable groups, such as the elderly and those without access to digital tools.

Influence of Patient Characteristics and Health System Factors on Performance of Electronic Queue Management Systems Among Outpatients in Radiant Group of Hospitals, Nairobi City County, Kenya

Influence of Technological Factors on Performance of Electronic Queue Management Systems Among Outpatients in Radiant Group of Hospitals, Nairobi City County, Kenya

The global beauty and aesthetic industry has experienced remarkable growth, driven by rising consumer consciousness towards self-care and wellness. In Indonesia, the skincare and aesthetic services market has evolved significantly, with the medical aesthetics market reaching USD 257.05 million in 2023 and projected to grow to USD 495.64 million by 2029. This study explores service innovation strategies in healthcare, specifically within the context of Clinic Skin Care X, an aesthetic clinic in Bandung. The research focused on identifying service quality gaps using the SERVQUAL model and developing practical service innovations to address these gaps. Using a mixed-methods approach, data was collected from 85 patients through structured questionnaires based on the SERVQUAL framework. The analysis revealed that Clinic X generally meets or exceeds customer expectations, with the Empathy dimension recording a positive gap (+0.244). However, the Reliability dimension showed the largest negative gap (-0.938), signaling challenges in consistently meeting promises regarding consultation punctuality and pharmacy services. Based on these findings, strategic service innovations were proposed, including digital queue management systems, mobile app notifications, enhanced staff communication training, and workflow improvements. The study concludes that prioritizing the Reliability dimension through systematic digital transformation and staff empowerment can significantly enhance patient satisfaction and establish sustainable competitive advantage in the aesthetic clinic market.

In contrast to terrestrial networks, the rapid movement of low-earth-orbit (LEO) satellites causes frequent changes in the topology of intersatellite links (ISLs), resulting in dynamic shifts in transmission paths and fluctuations in multi-hop latency. Moreover, limited onboard resources such as buffer capacity and bandwidth competition contribute to the instability of these links. As a result, providing reliable quality of service (QoS) for time-sensitive flows (TSFs) in LEO satellite networks becomes a challenging task. Traditional terrestrial time-sensitive networking methods, which depend on fixed paths and static priority scheduling, are ill-equipped to handle the dynamic nature and resource constraints typical of satellite environments. This often leads to congestion, packet loss, and excessive latency, especially for high-priority TSFs. This study addresses the primary challenges faced by time-sensitive satellite networks and introduces a management framework based on software-defined networking (SDN) tailored for LEO satellites. An advanced queue management and scheduling system, influenced by terrestrial time-sensitive networking approaches, is developed. By incorporating differentiated forwarding strategies and priority-based classification, the proposed method improves the efficiency of transmitting time-sensitive traffic at multiple levels. To assess the scheme’s performance, simulations under various workloads are conducted, and the results reveal that it significantly boosts network throughput, reduces packet loss, and maintains low latency, thus optimizing the performance of time-sensitive traffic in LEO satellite networks.

Abstract-This exploration presents the development of Queue Master, a web-based line operation designed to address long staying times in banks. The system is erected using ASP.NET for the backend, HTML, CSS, and JavaScript for the frontend, and SQL for the data storehouse. Druggies are needed to subscribe up or log in to pierce colorful banking service sections such as cash deposit, cash pullout, check deposit, and meeting with the director. The operation allows druggies to bespeak lines grounded in their service conditions. After reserving, a real-time staying screen is displayed, and druggies admit alert announcements when their turn arrives. This result enhances client experience, reduces physical crowding, and improves functional effectiveness in banking surroundings. Key Words: Web-based application, Queue management system, ASP.NET, Banking automation, Slot booking system.

Banks are the places where there is heavy flow of customers every day. Long queues are a big alarm sign for banks and also for the customers. In India every bank is offering digital service channels to their customers to facilitate them. However, when customers come to visit the bank at the physical branches it could get very difficult to manage the customers and maintain a good customer experience. Another big challenge is the health and safety concerns. The bank branch occupancy limits and the social distancing rules are also adding to the queue management problems and making it difficult to provide a good quality service and satisfactory customer experience. The market trends and customer’s expectations have also been changed, now a day’s people are more adoptive and inclined towards digital interaction. A high-tech queue management system can bridge the gap between the physical and the digital customer experience and it can significantly improve the customer journey. In this paper, design and development a virtual queue management system using Deep Q Learning algorithm that helps reduce customer queues with fully-functional features. This system has a smooth and innovative user interface so that novice users can use it easily. A virtual queue replaces a physical line by placing customers in an invisible or online queue, also known as a virtual waiting room. By booking appointments remotely where customers can wait outside the banks' premises, this digital queue ensures customers don’t have to wait for their turn in a crowded waiting room or stand in a long line thus minimizing human interaction and abiding by social distancing rules. The system is a perfect combination of innovation and technology that helps to provide a better customer experience

Puskesmas is one of the health services whose traffic is difficult to determine, because it cannot be predicted that people will get sick and need health services. The queuing system at the puskesmas is implemented through several stages, namely the first stage the patient goes to the counter to get a queue number, after that the patient will be called according to the serial number to be served. This has a big impact on patients who were previously queuing because they have to be willing to wait longer to get service. This queue system often causes various kinds of problems and patient dissatisfaction. The Queue Management System at the Sindangkerta Community Health Center has several problems, including long queue waiting times which tend to be detrimental to patients who will receive services. Long queues cause longer waiting times. The queue is not easily accessible to prospective patients, making it difficult to obtain a queue number. This research uses qualitative research methods with a descriptive type. Data collection techniques using direct observation techniques, interviews and documentation. Data analysis techniques using data collection techniques, data reduction, data presentation and drawing conclusions. The results of the research show that the evaluation of the management of the queuing system at the Sindangkerta Community Health Center is quite good, but there are still problems, including long queue waiting times and difficulty for visitors to get a queue number.

This study investigates price decisions in a queue with two servers, where customers exhibit retrial behavior. There is no waiting space. Arrival customers have the option to either join the system or balk; when the two servers are occupied, those who decide to enter become repeat customers. Two scenarios where the waiting lines in orbit are unobservable and observable are considered. We analyze customers’ behavior and derive their Nash equilibrium strategies under both cases. Additionally, we examine optimal pricing decisions aimed at maximizing profit and social welfare, respectively. Moreover, we demonstrate that these objectives often lead to divergent outcomes. Compared to a single-server queue, the reduction in customers’ sojourn time is more obvious when the waiting line is unobservable. Under certain conditions—such as a large potential market size, high customer impatience, or a low retrial rate—increasing the number of service personnel can enhance both profit and social welfare. Notably, a profit-maximizing manager is more incentivized to increase servers than the social planner. These findings provide valuable insights for balancing operational efficiency, profitability, and customer satisfaction in queue management systems.