Order Of Priority Research Articles

SELECTION OF WEARABLE SENSORS FOR HEALTH AND SAFETY USE IN THE CONSTRUCTION INDUSTRY

Construction industry workers; are exposed to serious safety and health risks, hazardous work environments, and intense physical work. This situation causes fatal and non-fatal accidents, reduces productivity, and causes a loss of money and time. Construction safety management can use wearable sensors to improve safety performance. Since there are many types of sensors and not all sensors can be used in construction applications, it is necessary to identify suitable and reliable sensors. This requirement causes a sensor selection problem. The study aims to determine the priority order of physiological and kinematic sensors in preventing risks in the construction industry. Within the scope of this purpose, five criteria and seven alternatives were determined in line with the literature research and expert opinions. The criteria weights were calculated with the AHP method, and the alternatives were ranked with PROMETHEE and AHP. Providing a proactive approach to the use of sensors in the construction industry will provide safer working conditions, identify workers at risk, and help identify and predict potential health and safety risks. It will contribute to the literature on improving construction health and safety management.

Evaluasi Kerusakan Jalan Berdasarkan Metode Surface Distress Index, Binamarga 1990, Serta Berbasis Software PKRMS

Baturono – Lamongan road is a distrit road that connects the districs of Sukodadi, Made, Lamongan. The road is an alternative road which is the main accesss so that there is a large volume of vehicles passing throught the road. Therefore, resulting in road damage that can interfere with user comfort and safety. This research to determine the type of road handling in accordance with the condition of the road damage. This esearch was carried out by means of primary data surveys in the form of LHR and road damage surveys. The methods used are Bina Marga 1990, Surface Distress Index (SDI), and PKRMS Software. On the Baturono road section ound the types of damage holes, pathces, transverse cracks, longitudinal, ruts, and alligator cracks. By using the Bina Marga method the priority order value is 10 including type of routine maintenance. The SDI methode yielded 37,85 < 50 so that is included of routine maintenance. Meanwhile, software PKRMS output software obtained good results which included routine maintenance. The handling carried out refers to the practical manual of routine maintenance in the form of filling cracks, spreading sand, and closing crack.

Promoting Self-Management and Independent Living of Older Individuals with Chronic Diseases through Technology: A Study of Self-Reported Needs, Priorities, and Preferences.

Background and Objectives: Older patients' needs are rarely examined beforehand, and thus, although technology-based tools can enhance self-management, acceptability rates are still low. This study aimed to examine and compare self-reported needs, priorities, and preferences of older patients with heart failure (HF), diabetes mellitus type II (DM2), and chronic obstructive pulmonary disease (COPD) toward technology use to enhance self-management. Materials and Methods: A convenience sample of 473 participants over 60 s (60.5% females), diagnosed with HF (n= 156), DM2 (n = 164), or COPD (n = 153) was recruited. They were administered a questionnaire about the usefulness of technology in general and in specific areas of disease management. Results: Most participants (84.7%) admitted that technology is needed for better disease management. This was equally recognized across the three groups both for the overall and specific areas of disease management (in order of priority: "Information", "Communication with Physicians and Caregivers", and "Quality of Life and Wellbeing"). Sociodemographic differences were found. Cell phones and PCs were the devices of preference. The four common features prioritized by all three groups were related to 'information about disease management' (i.e., monitoring symptoms, reminders for medication intake, management and prevention of complications), whereas the fifth one was related to 'communication with physicians and caregivers (i.e., in case of abnormal or critical signs). The top disease-specific feature was also monitoring systems (of respiratory rate or blood sugar or blood pressure, and oxygen), whereas other disease-specific features followed (i.e., maintaining normal weight for HF patients, adjusting insulin dose for DM2 patients, and training on breathing exercises for COPD patients). Conclusions: Older individuals in these three groups seem receptive to technology in disease management. mHealth tools, incorporating both common and disease-specific features and addressing different chronic patients, and also being personalized at the same time, could be cost-saving and useful adjuncts in routine clinical care to improve self-management.

Key factors influencing mass willingness to use CESPs under green concept: ECOCO smart recyclers as a case study

In promoting green life and environmental protection, encouraging mass participation in environmental protection activities and increasing mass willingness to use circular economy service platforms (CESPs) are of high importance. In light of this stance and other several dimensions, including green concept, hedonic value, and user benefits, the multiple attribute decision-making technique was used to develop an evaluation model that assesses the influential factor of one's willingness to use CESPs. By employing the decision-making trial and evaluation laboratory (DEMATEL) approach, the degree of mutual influence between different evaluation dimensions and criteria was first determined to generate an influential network relation map (INRM). Next, the weights of influence of varying evaluation dimensions and criteria were calculated by combining the DEMATEL approach with analytic network process. Finally, an empirical analysis of comprehensive performance of different evaluation dimensions and criteria was carried out based on the modified VIKOR technique. Referring to the INRM, green information emerged as the primary aspect that should be improved and adjusted, followed by green management, hedonic value, user benefits, green appeal, and green participation in order of priority. These outcomes may serve as reference regarding ways to enhance mass willingness to use the ECOCO CESPs and its smart recyclers.

Analisis Penanganan Kerusakan Jalan Menggunakan Metode Bina Marga dan Pavement Conditional Index (PCI) Pada Ruas Jalan Kabuh - Tapen

The Kabuh – Tapen thruway is included within the category of Course III Collector road type which may be a interfacing street between Kabuh and Tapen streets. In this ponder, the point was to get the esteem of the harm list along the Kabuh - Tapen street. as a work reference and sort of street harm dealing with. Analysts will utilize the PCI and Bina Marga 1990 strategies as a reference. From the examination of the condition of the Kabuh – Tapen street segment on unbending asphalt at STA. 0+000 – 7+340 based on the Asphalt Condition Record (PCI) strategy, a esteem with an normal of 99% is gotten, demonstrating that the asphalt is in exceptionally great condition. On the adaptable asphalt at STA. 7+340 – 9+234, an normal esteem of 40% is gotten, showing that the street asphalt is in a awful condition. The comes about of the Bina Marga strategy on unbending asphalts gotten a priority order esteem of 7 so that the street is included within the schedule support program, whereas on flexible asphalts a need arrange esteem of 3 is gotten, hence it is included within the street enhancement program.

Rating versus ranking in a Delphi survey: a randomized controlled trial

BackgroundThe Delphi technique has steeply grown in popularity in health research as a structured approach to group communication process. Rating and ranking are two different procedures commonly used to quantify participants’ opinions in Delphi surveys. We explored the influence of using a rating or ranking approach on item prioritization (main outcome), questionnaire completion time, and evaluation of task difficulty in a Delphi survey aimed at identifying priorities for the organization of primary cardiovascular care.MethodsA randomized controlled parallel group trial was embedded in a three-round online Delphi survey. After an “open” first round, primary care patients, trained patient partners, and primary care clinicians from seven primary care practices were allocated 1:1 to a rating or ranking assessment group for the remainder of the study by stratified permuted block randomization, with strata based on participants’ gender and status. Agreement on item prioritization between the experimental groups was measured by calculating Krippendorff’s alpha reliability coefficient on the aggregate rank order of items in each group after the final round. Self-reported ease or difficulty with the assessment task was measured with the Single Ease Question.ResultsThirty-six panelists (13 clinic patients, 7 patient partners, 16 clinicians; 60% females) were randomized to the rating (n = 18) or ranking (n = 18) group, with 30 (83%) completing all rounds. Both groups identified the same highest priorities from a set of 41 items, but significant discrepancies were found as early as the seventh top item. There was moderately strong agreement between the priority ordering of top items common to both groups (Krippendorff’s alpha = 0.811, 95% CI = 0.669–0.920). A 9-min mean difference to complete the third-round questionnaire in favor of the rating group failed to achieve statistical significance (p = 0.053). Ranking was perceived as more difficult (p < 0.001).ConclusionsA rating or ranking procedure led to modestly similar item prioritization in a Delphi survey, but ranking was more difficult. This study should be replicated with a larger number of participants and with variations in the ranking and rating procedures.Trial registrationNot applicable.

Conventional and Advanced Exergy Analyses of Industrial Pneumatic Systems

Pneumatic systems are widely used in industrial manufacturing sectors. However, the energy efficiency of pneumatic systems is generally much lower than their hydraulic and electric counterparts. It is necessary to explore more elaborate theories and methods for achieving better energy performance in pneumatic systems. In this study, for investigating the interaction effects between pneumatic components and the accessible improvement potential of energy efficiency in a pre-existing pneumatic system, the advanced exergy analysis is conducted with a better understanding of exergy destruction. The conventional exergy analysis is also carried out for comparison. The results show that an exergy efficiency of 17.3% could be achieved under the real condition in the case of the investigated pneumatic system. However, under unavoidable conditions, the theoretical maximum exergy efficiency could reach 70.5%. This means there is a significant potential for improving the energy performance of the investigated system. Furthermore, both conventional and advanced exergy analyses indicate that the pneumatic cylinder has the greatest potential for improvement. The advanced exergy analysis reveals the complex and variable interactions between pneumatic components. It highlights that the exergy destruction of some components is caused by other components in the system, and thus, improving energy efficiency at the system level rather than at the component level is of great significance. Besides, a priority order of all pneumatic components is determined, thereby guiding the improvement of the energy efficiency of the pneumatic system.

Governance of artificial intelligence applications in a business audit via a fusion fuzzy multiple rule-based decision-making model

A broad range of companies around the world has welcomed artificial intelligence (AI) technology in daily practices because it provides decision-makers with comprehensive and intuitive messages about their operations and assists them in formulating appropriate strategies without any hysteresis. This research identifies the essential components of AI applications under an internal audit framework and provides an appropriate direction of strategies, which relate to setting up a priority on alternatives with multiple dimensions/criteria involvement that need to further consider the interconnected and intertwined relationships among them so as to reach a suitable judgment. To obtain this goal and inspired by a model ensemble, we introduce an innovative fuzzy multiple rule-based decision making framework that integrates soft computing, fuzzy set theory, and a multi-attribute decision making algorithm. The results display that the order of priority in improvement—(A) AI application strategy, (B) AI governance, (D) the human factor, and (C) data infrastructure and data quality—is based on the magnitude of their impact. This dynamically enhances the implementation of an AI-driven internal audit framework as well as responds to the strong rise of the big data environment.

Decision-Making Model of Performance Evaluation Matrix Based on Upper Confidence Limits

A performance evaluation matrix (PEM) is an evaluation tool for assessing customer satisfaction and the importance of service items across various services. In addition, inferences based on point estimates of sample data can increase the risk of misjudgment due to sampling errors. Thus, this paper creates a decision-making model for a performance evaluation matrix based on upper confidence limits to provide various service operating systems for performance evaluation and decision making. The concept is that through the gap between customer satisfaction and the level of importance of each service item, we are able to identify critical-to-quality (CTQ) service items requiring improvement. Many studies have indicated that customer satisfaction and the importance of service items follow a beta distribution, and based on the two parameters of this distribution, the proposed indices for customer satisfaction and the importance of service items represent standardization. The vertical axis of a PEM represents the importance index; the horizontal axis represents the satisfaction index. Since these two indices have unknown parameters, this paper uses the upper confidence limit of the satisfaction index to find out the CTQ service items and the upper confidence limit of the importance index to determine the order of improvement priority for each service item. This paper then establishes a decision-making model for a PEM based on the above-mentioned decision-making rules. Since all decision-making rules proposed in this paper are established through upper confidence limits, the risk of misjudgment caused by sampling errors can be reduced. Finally, this article uses a practical example to illustrate how to use a PEM to find CTQ service items and determine the order of improvement priority for these service items that need to be improved.

Cloud-Based Dynamic Task Scheduling and Load Balancing Using a Variety of Intelligent Schemes

One of the main problems with cloud computing is load balancing, which divides tasks into virtual machines (VMs) with varying lengths and completion times. As a result, keeping VMs loaded up during job scheduling and allocation is difficult. In this research, we suggested secure load balancing in a cloud context and resource-aware dynamic job scheduling utilizing intelligent algorithms. The process for the planned work is as follows: (1). The Human Mental Search (HMS) method is used to cluster Real-Time and Non-Real Time jobs into four categories: Real-Time and Short, Real-Time and Long, Non-Real Time and Short, and Non-Real Time and Long. (2). Knowledge of Energy and Delay Combined Tasks Tasks are planned based on task clustering, and the fuzzy VIKOR method is used to schedule them in the order of priority. (3). Security Risks aware VM Clustering, which employs the Hierarchical Agglomerative Clustering algorithm, consists of three distinct entities: a VM's information collector, which compiles data about VMs; a load monitor, which oversees the entire datacenter; and a decision maker, which assigns tasks by choosing the best VM. (4). Co-Resident assaults were stopped by the continuous-Actor-Critical-Algorithm (C- ACAL), which is used to pick the best VM. Using CloudSim, which measures performance in terms of response time, latency, resource utilization, throughput, energy consumption, and task execution success rate, the simulation is carried out.

Automatic Labels in Leaflet

Abstract. Automatic labelling is a lacking feature in the popular client-side web mapping library, Leaflet. Although there exist various workarounds and substitutes, most of these do not fulfil the basic cartographic rules, e.g. avoiding text overlaps.This paper discusses the various workarounds addressing this problem, and introduces the author’s solution, which extends Leaflet’s GeoJSON class with automatic labelling functionality. The new class displays labels for point, line or polygon features. Labels can be placed either on right or left side of points or automatically for better fitting. Markers for points are only displayed if their labels can be drawn without overlaps. Label text is specified either by property field name or a user-specified function. It is also possible to specify priority order of features (higher priority labels are drawn first) and to customize label styles.

The development of cultural event strategy: Swot analysis and QSPM approach

n order to support the Banyuwangi Rebound Movement, Pondoknongko Village Government has launched an Economic and Tourism Improvement Program in 2022 through the Pondoknongko Festival Event. The purpose of this research is to: find out the management of the Pondoknongko Festival event; identify potential cultural tourism attractions; identify internal and external factors for the development of cultural tourism events; and determine the priority order of alternative strategies for developing cultural tourism events in Pondoknongko Village. This study used a descriptive research method with a mixed-method approach, exploratory sequential design model. The analysis technique used is Internal External (IE) Matrix, Strengths, Weaknesses, Opportunities, Threats (SWOT) Matrix, and Quantitative Strategic Planning Matrix (QSPM). The results showed that the Pondoknongko Festival Event Management had been well implemented starting from the research stage, design, planning, coordination, to the evaluation stage; Pondoknongko Village has a variety of potential cultural tourism attractions that can be developed and packaged as cultural tourism event activities; the position of the development of cultural tourism events is in cell IV grow and build and 10 alternative strategies have been formulated with a priority strategy that can be applied is to arrange tour packages that are integrated with cultural tourism events in Pondoknongko Village.

Integration of FMEA and TOPSIS for OHS Risk Mitigation Strategy in Lathe Machining Activities : Case Study in PT. SPPA

The machining process in PT. SPPA is still carried out conventionally, especially in the idler rebuilding process. There are found work accidents that result in work-related illnesses. In preventing accidents, it is necessary to do risk management efforts. Therefore it is necessary to conduct research by integrating FMEA and TOPSIS for risk management strategies in Occupational Health and Safety (OHS). The FMEA method is used to identify risks and assess the level of risk based on severity, ooccurrence and detection. Furthermore, the TOPSIS method is used to determine the order of priority for improvement to overcome existing risks. The results showed that there were 17 risks in machining activities with a lathe where the risks with the highest RPN value were experiencing pain or muscle cramps when setting up the lathe, experiencing noise during the lathe process, and exposure to chips from the lathe process. Furthermore, each risk is investigated using the 5 Whys method to determine the root causes of the problems, and it was found that the causes of these risks were low-quality work equipment, lack of training, socialization or briefings on OHS, and the high cost of providing adequate PPE. Based on these issues, a priority list of recommendations for improvement is compiled using the TOPSIS method, including routine equipment condition checks, providing SOPs for equipment use, providing appropriate PPE for each job, providing training for employees, allowing adequate rest time, and providing high-quality work equipment.

Evaluation test of tangential force coefficient under different types of fallen leaves

On railway lines in mountainous areas, wheel slip and wheel slide frequently occurr due to a decrease in adhesion coefficient caused by fallen leaves in wet conditions. One of the countermeasure is tree felling, and knowing which tree species significantly reduce the adhesion coefficient is helpful in determining the order of priority for felling. In this study, the tangential force coefficient, which is strongly correlated with the adhesion coefficient and the maximum tangential force coefficient is generally defined as the adhesion coefficient, was quantitatively assessed for fallen leaves of five tree species using a rolling-slip friction measurement machine. The experimental results showed that the tangential force coefficients in order of lowest to highest belong to ginkgo, cedar, cherry, maple, and zelkova in wet conditons. This experiment identified which tree species are more slippery and have a high priority for felling.

Analysis of Transportation Mode Selection at Padjadjaran University Campus Jatinangor Using Fuzzy Analytic Hierarchy Process (FAHP) Method

Transportation has become a very attached part of human daily life as a means of mobility in activities. Each transportation user has their own goals in transportation, so the mode of transportation travel takes effect in making it easier for users to reach their goals. At Padjadjaran University, Campus Jatinangor, there are several alternative modes of transportation, namely Odong-Odong, Easy Bike, conventional motorcycle taxis, and online motorcycle taxis. Each alternative mode of transportation has varying characteristics and user needs, so it is necessary to make the right decision. This study uses the Fuzzy Analytic Hierarchy Process (FAHP) method to determine priority criteria and alternative modes of transportation suitable for use on campus. The criteria used in this study include tariff, time, comfort, safety, and environmental responsibility. The results in this study obtained the order of priority criteria, is safety, comfort, time, tariff, and environmental responsibility. Moreover, the alternative priority orders are Odong-Odong, online motorcycle taxis, Easy Bike, and conventional motorcycle taxis. That can be interpreted as the safety criteria are the most considered, and Odong-Odong is the most appropriate alternative to be used at Padjadjaran University, Campus Jatinangor.

Guidelines for Development of Accommodations Business for Foreign Tourists to Support the Thai Tourism Industry in the Digital Age

This research aimed to study the development of a structural equation model for the accommodation business for foreign tourists, to support the Thai tourism industry in the digital age. Both qualitative and quantitative research methods were used. Quantitative data was collected using questionnaires from 500 entrepreneurs or executives responsible for accommodation businesses in Thailand. Descriptive statistics, reference statistics, and multiple statistics were used for data analysis. The results showed that the guidelines for the development of accommodation businesses for foreign tourists, in order of priority, are: 1) marketing communication (X̅ = 4.31), 2) service quality (X̅ = 4.30), 3) innovation and technology (X̅ = 4.28), and 4) business network (X̅ = 4.24). The hypothesis testing results indicated that resort and hotel businesses pay attention to the development of accommodation businesses for foreign tourists and that the difference was statistically significant at 0.05. The analysis of the developed structural equation model passed the evaluation criteria and was consistent with the empirical data. The probability of chi-squared was 0.144, the relative chi-squared was 1.118, the corresponding index was 0.965, and the root mean squared error was 0.015.

Self-Awareness of Goals Task (SAGT) and Planning Skills: The Neuroscience of Decision Making.

A goal's self-awareness and the planning to achieve it drive decision makers. Through a neuroscientific approach, this study explores the self-awareness of goals by analyzing the explicit and implicit processes linked to the ability to self-represent goals and sort them via an implicit dominant key. Thirty-five professionals performed a novel and ecological decision-making task, the Self-Awareness of Goals Task (SAGT), aimed at exploring the (i) self-representation of the decision-making goals of a typical working day; (ii) self-representation of how these goals were performed in order of priority; (iii) temporal sequence; and (iv) in terms of their efficacy. Electrophysiological (i.e., alpha, beta, and gamma band), autonomic, behavioral, and self-report data (General Decision Making Style and Big Five Inventory) are collected. Higher self-awareness of goals by time as well as efficacy and the greater activation of alpha, beta, and gamma bands in the temporoparietal brain area were found. Correlations reported positive associations between the self-awareness of goals via a time and dependent decision-making style and a conscientious personality, but also between the self-awareness of goals via an efficacy and rational decision-making style. The results obtained in this study suggest that the SAGT could activate recursive thinking in the examinee and grasp individual differences in self-representation and aware identification of decision-making goals.

Development of a Framework for Risk Assessment in Building Demolition Works

The demolition process in construction projects is risky and involves many hazards that may lead to several accidents ranging from minor injury to fatality. These hazardous activities impose risk to contractors, employers and workers, and the public. Nowadays, these demolition operations are increasing in every corner of India because of redevelopment policies, new bylaws, outdated design, and aging of buildings and habitation facilities to accommodate the increasing population in the limited land area. Still, in most places, demolition operations depend on contractors’ knowledge without following any proper standard or framework. Therefore, this study attempts to develop a framework for risk assessment in the demolition of buildings that involves three phases: identifying, assessing, and giving control measures to potential hazards. In this direction, this study identified 40 potential hazards with the help of existing literature, field survey, and expert interviews; and categorized them into seven categories. For assessment, the standard 5×5 risk matrix methodology of the British Standard 8800:2004 is used, which gives the risk value to each hazard, thereby categorizing the hazard with respect to the level of acceptance. The Relative Importance Index (RII) method is then used for ranking the identified risks. Considering the obtained likelihood and severity of each hazard, fall from height and noise pollution are identified as the most and least significant hazards, respectively. Finally, control measures are suggested. The outcome of this study shows the priority order of demolition hazards from major to minor. It gives an idea to demolition practitioners for which hazard has to be eliminated or mitigated primarily with their respective control measures. It also benefits policymakers to formulate a policy or law on demolition safety.

Analysis of barriers of sustainable 4D printing using Grey TOPSIS approach

ABSTRACT The adoption of sustainable 4D printing in automotive component manufacturing industry helps to produce environmentally conscious critical components. This article introduces the study in which 18 sustainable 4D printing barriers were identified through expert consultation and literature review. The identified barriers were analysed against six criteria, namely, Build Time (C1), Accuracy (C2), Customization (C3), Carbon Footprint (C4), Material Utilization (C5) and Complexity (C6) using Grey Technique for Order of Preference by Similarity to Ideal Solution (G-TOPSIS) approach. Experts’ inputs were gathered to derive the relative importance of each barrier against each criterion in the form of Grey value. Using G-TOPSIS approach, the priority order of barriers is achieved. Based on the findings, significant barriers are found to be ‘Improper disposal strategy (B18)’, ‘Lack of interaction between smart materials and 3D printing technology (B8)’ and ‘Lack of Smart materials compatible with AM technologies (B10)’. The study facilitated industry practitioners to meticulously examine sustainable 4D printing barriers for improving production efficiency.

Penerapan Operasi Matriks pada Analytical Hierarchy Process dalam Pemilihan Kedai Kopi di Kota Palopo

The coffee shop is a culinary business that is growing rapidly in Palopo City. Each coffee shop has its own characteristics and advantages which are used as an attraction to consumers. The purpose of this research is to determine the priority order of consumers in choosing a coffee shop in Palopo City. This research is a quantitative descriptive study with a sample of 3 respondents using a purposive sampling technique. In the data collection process, this study used a questionnaire to collect information in the form of respondents' preferences for the alternatives and criteria being compared. The research method used is the Analytical Hierarchy Process (AHP) which is an analytical method that uses a series of matrix operations to determine the priority order of alternatives based on several criteria with a series of matrix operations to obtain a decision. The results showed that the priority order of the respondents in choosing a coffee shop was based on the factors of variance and taste, location convenience, price affordability, and quality of service, while the priority order of the selected coffee shops was: (1) Kopikoma (38.63% ), (2) Etika (29.79%), (3) Epilog (10.52%), (4) Janji Jiwa (10.44%), and (5) Figura (9.62%).