Order Of Priority Research Articles

Investigation of the changes in the general characteristics of COVID19 patients with the vaccination program

Since the onset of the Coronavirus Disease 2019 (COVID-19) pandemic, many vaccine research studies have started. Changes in the demographic characteristics of the patients hospitalized from the emergency room to the intensive care unit due to COVID-19 has caught our attention since the vaccination program began in Turkey. The purpose of this study is to investigate whether our investigation is scientifically valid and meaningful. Thus, it will be helpful to investigate the effect of priority ordering in vaccination programs in future pandemics. Demographic characteristics and hospitalization processes of patients hospitalized in the intensive care unit before and after vaccination were compared. For comparison, Charlson Comorbidity Index (CCI) and Acute Physiologic Assessment and Chronic Health Evaluation (APACHE) scores, as well as intensive care unit duration of stay and mortality were used. While age [mean (SD); 70,8 (12,2) vs 66,2 (15,2), p=0,032] and duration of intensive care stay [day; mean (SD); 6,4 (6,3) vs 9,4 (7,4); p<0,001] increased in the post-vaccination group, a statistically significant decrease was observed in APACHE [mean (SD); 26,9 (9,2) vs 20,9 (9,0); p=0,008] and CCI scores [mean (SD); 4,3 (2,2) vs 3,6 (2,7); p<0,001]. Regulating the priorities of those to be vaccinated causes rapid changes in the patient population. For this reason, vaccination of vulnerable groups will contribute to the operation of the health system properly.

A dynamic large-scale multiple attribute group decision-making method with probabilistic linguistic term sets based on trust relationship and opinion correlation

Dynamic large-scale multiple attribute group decision making (DLMAGDM) is ubiquitous in many areas of the real world. It is composed of large numbers of decision makers, several continuous periods, alternative set and attribute set changed with time. Given the characteristics implicited in decision-making elements and the advantages of probabilistic linguistic term sets (PLTSs) in modelling uncertainty and complexity of decision makers’ subjective opinions, this paper constructs a probabilistic linguistic DLMAGDM method. First of all, a dynamic weight determination model based on trust relationships and evidential conflicts between decision makers is proposed to obtain current dynamic weights of decision makers. Then, a comprehensive hierarchical clustering method that divides large numbers of decision makers into several subgroups is constructed based on three clustering constrains. Moreover, some probabilistic linguistic extended evidential power aggregation operators are proposed to aggregate PLTSs. These operators can appropriately handle the extreme PLTSs and fully consider the role of incomplete probabilistic distributions in PLTSs. In addition, a dynamic decision-making method based on PROMETHEE is developed to determine the final priority order of alternatives according to preferences between alternatives over several periods. Lastly, a case study for supply chain finance risk assessment for several firms in Chinese household appliance industry is utilized to illustrate the practicality and effectiveness of the probabilistic linguistic DLMAGDM method. Furthermore, the comparative analysis with some other existing methods and the sensitivity analysis are made to verify its advantages.

EVALUASI KERUSAKAN JALAN LINTAS TIMUR DENGAN MENGGUNAKAN METODE BINA MARGA (Studi Kasus: Jalan Lintas Timur STA 10+000 – 11+000)

Jalan Lintas Timur (the East Highway) serves as an alternative road to divert traffic from the main Pangkalpinang-Sungailiat road. The East Highway is prioritized for industrial or heavy vehicles. The damaged road found in the East Highway’s STA 10+000 to STA 11+000 has reduced the ability to serve the traffic optimally. Therefore, a study on this road damage is imperative. Bina Marga Method is used for the road damage assessment (TP3JK No. 018/T/BNKT/1990). The road is divided into 20 segments, each 50 meters long. Road damage identification is carried out for each segment, untilizing several indicators consisting of level of damage, type of damage, and dimension of damage. The analysis result showed that the damage occurred in East Highway consists of rutting (1.967%), potholes (0.015%), raveling (13.283%), hair crack (0.078%), alligator crack (0.459%), edge crack (0.001%), slippage crack (1.399%), shoving (4.128%), and patching (78.669%). The assessment result of road condition in the East Highway has the average value of 5, with the average number of road damage of 13.6. The Priority Order obtained is 10, indicating that the road has mild damage. Therefore, to overcome the road damage on the East Highway, a routine maintenance program is needed.
 
 Key words: East Highway, road damage, bina marga method, road condition, priority order, maintenance program.

The Influence of Bit Edge Shape Parameters on Bone Drilling Force Based on Finite Element Analysis

Bone drilling is a common surgery procedure. The drill bit shape directly affects the drilling force. Excessive drilling force may cause bone damage. In this work, on the premise of analyzing and comparing several finite element method (FEM) simulation results for drill bit of 5 mm in diameter commonly used in medical practice, a combination of drilling speed and feed rates which can minimize the drilling force for drilling parameters is determined. Then, the effects of the drill bit shape parameters including helix angle, point angle and edge radius on the drilling force are simulated by using the obtained drilling parameters, and after validation the FEM analysis results show that their variation trend is the same as the experimental one. Then, the optimum bit structure parameters are obtained through the following research: (1) the prediction model of the relationship between drill edge parameters and drilling force is established based on the result of FEM of the drilling process; (2) A particle swarm optimization algorithm is used to obtain the optimal matching parameters of the bit structure; (3) The priority order of the influence of the parameters of the bit on the drilling force is analyzed. The results show that the order of the influence is: the edge radius is the largest, the point angle is the second, and the helix angle is the smallest. The optimum combination of bit structure is that point angle, helix angle and edge radius are 95°, 35°, and 0.02 mm, respectively.

Analisa Kerusakan Perkerasan Jalan Rigid Dengan Metode Bina Marga Dan Metode PCI (Pavement Condition Index) Studi Kasus Jalan Lintas Muara Tembesi – Muara Bulian

In analyzing the condition of rigid road damage, the Bina Marga method and the PCI (Pavement Condition Index) method can be used. This study aims to determine the level of road surface damage and how to handle it on the Muara Tembesi - Muara Bulian crossing, Simpang Terusan Village to Tenam Village, with a length of 2,850km and a pavement width of 7.5m. In this study, the priority order of road handling using the Bina Marga method is based on a range of values from 0 to 7, while the PCI method ranks pavement conditions from 0 to 100. The results of the assessment on the Muara Tembesi - Muara Bulian cross-road using the Bina Marga method and the PCI method (Pavement Condition Index) shows a relatively similar assessment, where the Bina Marga Method has the results that the left side with the priority order of UP = 4 and the right side with the priority order of UP = 5 and is categorized in the periodic maintenance program. While the PCI method (pavement condition index) has the result that the value of the level of damage to the left side is 88.21 and the right side is 94.78, which is included in the perfect qualification (excellent), so it is categorized in the periodic maintenance program.

Effect of organizational immunity in enhancing the strategic capabilities of the company: an applied study on the Iraqi general insurance company

This research diagnoses the impact of the organizational immunity dimensions represented by the organizational (memory, genes, and learning) on enhancing the strategic capabilities dimensions of the company represented by (marketing capabilities, administrative capabilities, technological capabilities, creative capabilities). The study also tries to list those dimensions in the order of priority. The researchers adopted the questionnaire as a tool for collecting data from 55 officials at the administrative levels (higher, middle, and lower levels). SPSS, (28Version) was used to calculate (weighted mean scores, standard deviation, relative importance, coefficient of variation, simple and multiple regression, F-test, corrected interpretation coefficient AR²). The most prominent findings of the research are: The organizational immunity, with its combined dimensions, affects the strategic capabilities of the company in a significant way. However, there are no statistically significant differences in the participants' response to the research variables attributed to the personal and functional variables represented by (gender, age, educational qualification, administrative level and the years of service).

Pengembangan Industri Kecil Menengah IKM Bisnis Inovatif Kota Surakarta

This service aims to be strategic for increasing regional competitiveness and developing the economy of the City of Surakarta. The method that will be used in this service is the Analytical Hierarchy Process (AHP) method. Partners in this competition are business SMEs in Surakarta City. Based on the determination of Leading Priority SMIs using the AHP approach, the leading order for Innovative Business SMIs in Surakarta City is as follows; (1) Fashion, (2) Culinary, (3) Fine Arts, (4) Crafts, (5) Design, (6) Performing Arts. The results of this service are in the form of a priority order of efforts to build, develop, and manage Innovative Business SMIs in Surakarta City, where the Leading Priority Innovative Business SMIs will be the "locomotive" to grow and develop Innovative Business SMIs in Surakarta City as a whole.

Prioritized and predictive intelligence of things enabled waste management model in smart and sustainable environment

Collaborative modelling of the Internet of Things (IoT) with Artificial Intelligence (AI) has merged into the Intelligence of Things concept. This recent trend enables sensors to track required parameters and store accumulated data in cloud storage, which can be further utilized by AI based predictive models for automatic decision making. In a smart and sustainable environment, effective waste management is a concern. Poor regulation of waste in surrounding areas leads to rapid spread of contagious disease risks. Traditional waste object management requires more working staff, increases effort, consumes time and is relatively ineffective. In this research, an Intelligence of Things Enabled Smart Waste Management (IoT-SWM) model with predictive capabilities is developed. Here, local sinks (LS) are deployed in specified locations. At every instant, the current status of smart bins in each LS is notified to users to determine the priority level of LS to be emptied. Based on aggregated sensor values for the three smart bins, LS weight and poison gas value, the priority order of emptying LS is computed, and decision is made whether to notify the users with an alert message or not. It also helps in predicting the LS, which is likely to be filled up at a faster rate based on assigned timestamp. This model is implemented in real time with many LS and it was observed that bins, which were close to more crowded sites filled up faster compared to sparse populated areas. Random forest algorithm was used to predict whether an alert notification is to be sent or not. An average mean of 95.8% accuracy was noted while using 60 decision trees in random forest algorithm. The average mean execution latency recorded for training and testing sets is 13.06 sec and 14.39 sec respectively. Observed accuracy rate, precision, recall and f1-score parameters were 95.8%, 96.5%, 98.5% and 97.2% respectively. Model buildup and the validation time computed were 3.26 sec and 4.25 sec respectively. It is also noted that at a threshold value of 0.93 in LS level, the maximum accuracy rate reached was 95.8%. Thus, based on the prediction of random forest approach, a decision to notify the users is taken. Obtained outcome indicates that the waste level can be efficiently determined, and the overflow of dustbins can be easily checked in time.

Strategi Pemilihan Pesawat Angkut Militer Produksi PT. Dirgantara Indonesia Untuk Mendukung Industri Pertahanan Dalam Negeri

Indonesian Navy flights as an integral part of the SSAT have several functions, one of which is to provide rapid logistical support. Based on considerations of function and mobilization capabilities, medium-sized military transport aircraft are the main choice in providing rapid logistical support. The advantages of this function and mobility also make military transport aircraft capable of carrying out additional tasks assigned to their guiding squadron, namely the 600 Air Wing Squadron. The additional tasks are Search and Rescue (SAR), Air Medical Evacuation (EMU) and VIP Flights. Currently, there are 11 elements of the NC212-200 aircraft owned by Puspenerbal, with a description of 7 active elements, 4 disposal processes. In 2017, Puspenerbal received the Beechcraft King Air 350i light transport aircraft, but several operational requirements were not met to carry out the main function as an element of fast logistics support provider, so this element was prioritized to carry out additional functions such as VIP flights. The results of the analysis using the Analytic Hierarchy Process (AHP) method with the help of the Expert Choice 11 Application show the weight of the criteria for selecting medium military transport aircraft, namely Navigation and Communication Equipment 46.4%, Short Take-off and Landing (STOL) Ability 31.7 %, Transportability 15.3%, and Flying Ability 6.7% with an Inconsistency value of 0.07. This shows that the calculation of the correspondent is still within the inconsistency threshold, which cannot be more than 0.1. While the order of priority for the alternative types of medium military transport aircraft from high to low is the CN 295 type 80.5% and the Alenia C27J Spartan type 19.5%. Based on this value, it can be seen that the CN 295 Medium Military Transport Aircraft is the right alternative to be chosen.

Analisis Pemilihan Kapal Selam Dalam Memperkuat Postur TNI AL Menggunakan Metode Fuzzy dan Analytical Hierarcy Process

Submarines of very strategic value in their procurement are directed to realize a deterrence strategy and a balancing strategy with state actors that have the potential to threaten the sovereignty of the Indonesian state. In addition to threats, the procurement of submarines also considers the geographical constellation of Indonesia. The first step in procurement is to make an analysis in terms of selecting alternative submarines, both analysis of information and identification of various important and interrelated requirements regarding data from alternative submarines that will be selected. In this condition, it can be solved by using fuzzy AHP approach. The results obtained from the Fuzzy AHP method are the order of priority for selecting alternative submarines, namely Scorpene Class (0.398), Changbogo Class (0.220), Reis Class (0.191) and Gotland Class (0.191). Where the results of the importance of the main criteria are sequentially starting from the Strategic Requirement (Strareq) criteria of 0.409, Operation Requirement (Opsreq) of 0.318 and Technical Requirement (Techreq) of 0.273.

MEMBER ELECTION DECISION SUPPORT SYSTEM SOUTH SUMATERA PASKIBRAKA USING TOPSIS-PROMETHEE METHOD

Paskibraka is the best young generation selected through various selections to raise and lower the Heritage Flag on Indonesian Independence Day. However, in the enthusiasm of the students to take part, the Dispora of South Sumatra Province still uses a manual assessment system so that several obstacles were found in its implementation. done with Microsoft Excel, as well as a calculation system that can only be used for one period, while this selection is an annual event that is held every time to celebrate Indonesian Independence Day. Therefore we need a way that can help the Dispora of South Sumatra Province in determining the best alternative for paskibraka members. One algorithm that is useful in decision support is Topsis. Topsis is used in the application of values for each criterion and a different range of values. Then using the Promethee method can improve the Topsis method because the Promethee method is used to determine the order of priority in multi-criteria analysis. The data taken by 60 participants were then researched according to predetermined criteria including written test scores, interview tests, health tests, physical fitness, and posture. Produced the best participants according to the system as many as 15 data. The results of the research test have an accuracy of 80%.

Coalition Support and Priority of Multiple Goals

Organizational goals are interdependent and follow a priority order to enable decision makers to fulfill the top priority goals before they proceed to pursue the succeeding ones. Previous research has shown that profitability is the top priority goal of firms. However, what determines the pursuit of lower priority goals after the profitability goal is met has remained unexplored. We leverage dominant coalition theory in the behavioral theory of the firm to theorize that whether a lower priority goal is subsequently pursued depends on the power of its supporting coalition on the board of directors. In particular, we identify resource allocations to the shareholders and to the society as two goals secondary to profitability goal and examine whether firms’ pursuit of these goals depends on the power of coalitions supporting or opposing them. By examining 2,071 Chinese listed firms, we find that the fulfillment of the profitability goal encourages the pursuit of two secondary goals. We also find that the membership of different board coalitions, namely, shareholder-value coalition and state-endorsement coalition, affects firms’ engagement in rewarding the shareholders and rewarding the society differently. These findings support our theory that coalitions shape the prioritization of multiple secondary goals in organizational decision making.

Optimization Method of High-Speed Train Composite Material Workshop Planning and Scheduling

With the continuous speed increase of high-speed trains, higher performance requirements are put forward for the braking technology and braking device. In order to improve productivity and overall competitiveness, manufacturing companies are actively researching new manufacturing technologies and production methods, and shop floor scheduling is one of the core components of this problem. This paper mainly studies the high-speed train composite workshop planning and scheduling optimization method. This experiment adopts B/S-based architecture mode. The prototype system is developed with Microsoft’s integrated development platform Visual Studio 2013, and Microsoft’s SQL Server 2008 is used as the background database management system. The experiment mainly uses the white box test method; the test content mainly includes module interface test, module local data structure test, and module boundary test. The interface parameters of each module are checked, and the boundary values of some functions are also analyzed and tested. According to the results, the planning management personnel revise the priority order again until all the molds meet the requirements of delivery and constraints. If the scheduled results do not meet the requirements, the methods such as those compressing the lead time, those urging the casting to be in place in advance, single process outsourcing, and overtime shall be considered. In this paper, a layered coding strategy is adopted. The first layer of coding represents the batch processing sequence. The second layer of coding determines to which process the corresponding batch belongs to. Each layer of coding is divided into different machine segments to represent the batch processing sequence on different machines. When the production process needs to switch orders, it can know which equipment parameters need to be adjusted in advance, which can effectively avoid the wrong operation caused by temporary adjustment of production parameters, reduce the order switching time, and improve the utilization rate of the production line. The data show that, compared with the artificial experience method and the priority rule method, the order production cycle after genetic optimization is reduced by 7.34% and 8.98%, respectively. The results show that the workshop scheduling optimization can help enterprises save stamping scheduling time, reduce production costs, and improve the rationality of scheduling.

Reassessment of sustainable rural tourism strategies after COVID-19.

This study aimed to develop indicators that measure rural tourism destinations in a sustainable framework during the COVID-19 process. In order to achieve this goal, the A’WOT and TOWS hybrid method was used in the study. In line with this goal, the priority order was calculated by determining the factors for strengths, weaknesses, threats and opportunities. Once these factors have been identified, strategies have been developed to build on strengths and eliminate weaknesses, while taking advantage of the opportunities and countering threats. In the study, Gökçeada-Turkey, which has recently come to the fore with its rural tourism potential, has been considered as a destination area, and strategies have been developed that adopt sustainable and responsible tourism approaches and increase the roles and capabilities of local communities. The results obtained in the study are expected to be meaningful for other rural destinations that are similar to Gökçeada.

Lexicographic Maximum Flow Allowing Intermediate Storage

In a capacitated network, an optimum solution of the maximum flow problem is to send as much flow as possible from the source node to the sink node as efficiently as possible by satisfying the capacity and conservation constraints. But, because of the limited capacity on the arcs, total amount of flow out going from the source may not reach to the sink. If the excess amount of flow can be stored at the intermediate nodes, total amount of flow outgoing from the source can be increased significantly. Similarly, different destinations have their own importance with respect to some circumstances. Motivated with these scenarios, we introduce the lexicographic maximum flow problems with intermediate storage in static and dynamic networks by assigning the priority order to the nodes. We extend this notion to arc reversals approach, a flow maximization technique, which is widely accepted in evacuation planning as it increases the outbound arc capacities by using the arc capacities on the opposite direction as well. Travel times along the anti-parallel arcs is considered to be unequal and we take into account the travel time of the reversed arcs to be equal to the travel time of the non-reversed arc towards which the arc is reversed. We present polynomial time algorithms for the solution of these problems.

Perceived Affecting Factors and Teachers’ Priorities to Support Teaching Profession

Teachers’ roles are dynamic among all the factors contributing to educational achievements. Teachers’ performance is an important factor associated with policy implementation and organizational outcomes. This article elicited the teachers’ perceptions of fundamental factors affecting the teaching profession. The study conducted a focus group interview and analyzed it. A list of indicated factors was prepared and corroborated with existing literature. An online survey was conducted, and participants were asked to rank these suggested factors in order of priority for amelioration to sustain the teaching profession. The interdependence of preferences in identified seven critical areas was tested through teachers’ demographics. The finding discussed factors affecting the teaching profession, including current issues in Pakistan's education sector. This study illustrates factors for prioritizing policy reforms through teachers’ insights.

Islamic approach to corporate social responsibility: an international model for Islamic banks

PurposeThis study aims to present a corporate social responsibility (CSR) model that would apply to Islamic banks, considering the international aspect of social responsibility because CSR is not applicable in the same way in all types of societies.Design/methodology/approachBased on the extensive review of the existing literature, the authors aim to present an Islamic CSR model applicable to Islamic banks. This study is based on the international approach to CSR developed by Masoud (2017). Each responsibility has an equal share but with specific changes regarding the order of priorities between them and the type of responsibility.FindingsThe findings show that the existing literature provides several Islamic CSR models. Most of these models are general and offer guidelines to Islamic financial institutions, but no model applies exclusively to Islamic banks. Using these models for Islamic banks is challenging because of their specific business activities, especially in non-Muslim countries. This study proposes a model that could act as the main guideline for Islamic banks with enough flexibility to meet different market and stakeholders’ requirements.Practical implicationsThe model was not tested on a sample, and not all Islamic principles were considered. However, it is applicable for Islamic banks, especially considering internationalization in their businesses and the further development of Islamic banking. At the same time, this model puts ethical norms in the spotlight. This is particularly emphasized in the case of non-Muslim countries or in societies where a particular law does not regulate Islamic bank activities.Originality/valueAlthough there is a growing literature on this topic, existing studies primarily discuss the Islamic approach to CSR from the overall perspective, not in a specific industry. While some authors developed their own Islamic CSR models relying on the primary Shariah sources, others base their proposals on other classical CSR ideas. To the best of the authors’ knowledge, this is the first study based on the CSR model developed by Masoud (2017), considering the relationship between economics and religion and the implications of the Islamic moral economy.

Evaluation of Energy Alternatives through FAHP for the Energization of Colombian Insular Areas

In this study, the methodology of the Analytical Hierarchy Process with fuzzy logic (FAHP) is implemented to provide decision criteria in the selection, planning and development of electric power generation projects from renewable energy sources in the insular regions of Colombia. In this study, six renewable energy sources were considered, biomass combustion, anaerobic digestion of biomass, biogas landfills, waste incineration, photovoltaic energy and hydrogen-generated energy, due to their energy potential in insular areas and not interconnected with the national electricity system. To determine the order of priority in the development of energy conversion technologies, a questionnaire was drawn up and sent to a group of experts. Given the need to generate electricity in a sustainable way, the information was analyzed under four main criteria: technical, environmental, social and economic. Sixteen additional subcriteria were selected based on a literature review. In general, the economic criterion is the most relevant in the area due to the high investment and operating costs of electricity generation. The social criterion highlights the opportunity to create new jobs very important for the study area, while the environmental criterion highlights the component of renewable energy substitution and environmental care, a key aspect in the diversification of the energy matrix, which is part of the country's political agenda. Regarding the technological component, self-consumption photovoltaic energy seems the most favorable due to its low environmental impact and the considerable price reduction experienced by the solar panel market in recent years.

Vibrating Floor Design For The Climate Room With Ergonomics Aspect and Safety Approach

Vibration as a part of the physical work environment that can have an impact on increasing work productivity and health for workers, it is necessary to study the impact of exposure to the human body. The climate room is one of the learning facilities in the Ergonomics and Work System Design Laboratory of the Industrial Engineering Study Program. However, this climate room does not have a vibration simulation yet, so it is necessary to have a vibrating floor design that can simulate vibration as part of the conditions in the work environment. In designing the vibrating floor design, the ergonomics and safety aspects are considered by using the Ergonomic Function Deployment (EFD) method where the requirement attribute is derived from the ENASE aspect. From this research, it was found that the contribution value for each of the required attributes can be determined so that the order of priorities that must be met in the design of the vibrating floor design can be determined. The highest contribution value which shows priority 1 is 3.80 users are comfortable in operating the vibrating floor, in this case the vibrating floor design is based on the user's anthropometric data. For the lowest contribution value, namely 1.42 as priority 9, the vibrating floor treatment process is easy to do so that the target specification for the vibrating floor uses iron and painted plywood. From the design of the vibrating floor based on the attributes of the needs so that it can provide a real vibration simulation like industrial conditions
 Keywords: Vibration floor, Ergonomic and Safety, Ergonomic Function Deployment (EFD).

Learning a Priority Ordering for Prioritized Planning in Multi-Agent Path Finding

Prioritized Planning (PP) is a fast and popular framework for solving Multi-Agent Path Finding, but its solution quality depends heavily on the predetermined priority ordering of the agents. Current PP algorithms use either greedy policies or random assignments to determine a total priority ordering, but none of them dominates the others in terms of the success rate and solution quality (measured by the sum-of-costs). We propose a machine-learning (ML) framework to learn a good priority ordering for PP. We develop two models, namely ML-T, which is trained on a total priority ordering, and ML-P, which is trained on a partial priority ordering. We propose to boost the effectiveness of PP by further applying stochastic ranking and random restarts. The results show that our ML-guided PP algorithms outperform the existing PP algorithms in success rate, runtime, and solution quality on small maps in most cases and are competitive with them on large maps despite the difficulty of collecting training data on these maps.