A novel intuitionistic fuzzy correlation algorithm and its applications in pattern recognition and students’ admission process

Many computing methods have been studied in intuitionistic fuzzy environment to enhance the resourcefulness of intuitionistic fuzzy sets in modelling real-life problems, among which, correlation coefficient is prominent. This paper proposes a new intuitionistic fuzzy correlation algorithm via intuitionistic fuzzy deviation, variance and covariance by taking into account the complete parameters of intuitionistic fuzzy sets. This new computing technique does not only evaluates the strength of relationship between the intuitionistic fuzzy sets but also indicates whether the intuitionistic fuzzy sets have either positive or negative linear relationship. The proposed technique is substantiated with some theoretical results, and numerically validated to be superior in terms of performance index in contrast to some hitherto methods. Multi-criteria decision-making processes involving pattern recognition and students’ admission process are determined with the aid of the proposed intuitionistic fuzzy correlation algorithm coded with JAVA programming language.

College Enquiry Chatbot

In the earlier days, students had to visit the college to enquire about details like courses, fee structure, admission process and other information's about the college, which is a tiresome and long process . This is where we thought of using an intelligent bot delivering the information. College Enquiry Chatbot is a simple python web application which aims to provide the information regarding college asked by the user. Keywords: Chatbot, Python, ChatterBot, Django

Use of the Smart Lean Method to Conduct High-Quality Integrated Perioperative Management Prior to Hospitalization

Background: competition in the healthcare market is becoming increasingly intense. Health technology continues to evolve, so hospitals and clinics need to strengthen hospital management techniques and also adopt a more patient-centered approach in order to provide high-quality healthcare services, including a more simplified process and shorter waiting times for examinations. The Lean and Six Sigma methodologies and smart technology were introduced and implemented into the integrated perioperative management (PERIO) processes for the purpose of decreasing pre-admission management waiting time, as well as increasing the completion rate and quality of pre-admission management for surgical patients in a 1576-bed medical center in central Taiwan. Methods: in order to improve hospital admission procedures for surgical patients by shortening process waiting times, simplifying admission processes, emphasizing a patient-centered approach, and providing the most efficient service process, the present study applied the DMAIC architecture of the Lean Six Sigma. This approach allowed the patients to save time on the hospital admission process. The current workflow used value flow mapping to identify wasted time caused by unnecessary walking and waiting during the hospital admission process. Therefore, we improved the process cycle for each patient by simultaneously selecting and controlling the process for the purpose of saving time. Results: the experimental results show that the percentage of Process Cycle Efficiency (PCE) increased from 35.42% to 42.47%, Value Added was reduced from 34 to 31 min, and Non-Value Added was reduced from 62 to 42 min. The satisfaction score of the 97 pre-implementation patients was 4.29 compared with 4.40 among the 328 post-implementation patients (p < 0.05). The LOS (Length of Stay) of 2660 pre-implementation patients was 2.49~3.31 days and for 304 after-implementation patients it was 1.16~1.57 days. Conclusions: by integrating different units and establishing standard perioperative management (PERIO) procedures, together with the support of the information systems, the time spent by patients on hospital admission procedures was shortened. These changes also improved the comprehensiveness of the preoperative preparations and the surgical safety of patients, thereby facilitating the provisions necessary for high-quality healthcare services. This in turn reduced the average length of hospital stays and increased the turnover of patients, benefiting the overall operations of the hospital.

Multiple Mini-interviews for Medical Students’ Admissions: Students and Faculty Perceptions on Acceptability and Feasibility

Aim: To evaluate the acceptability and feasibility of the multiple mini interviews for selecting medical students for admission in a medical institution. Methods: The current cross-sectional descriptive study is a 12-item questionnaire-based survey with a four-point Likert scale to record the anonymous responses of the candidate students’ and the interviewer faculty perceptions. Descriptive statistics were used to analyze the data quantitatively with IBM SPSS Version 25. The study evaluated the acceptability and feasibility of the utility of multiple mini-interviews (MMIs) as an assessment tool for the medical students’ selection in the admission process at Avicenna Medical College, Lahore, Pakistan. Results: A total of 438 candidate students and 42 interviewer/assessor faculty members participated in the study. Most of the candidate students (92.2%) of candidates and 97.6% of interviewer faculty regarded MMIs better than the traditional interviews for the selection of medical students. Further, 99.4% of candidate students and 97.6% of interviewer faculty were satisfied with the MMI process’s general arrangements. Finally, a hundred percent interviewer faculty and 96.8% of candidate students perceived MMIs as a feasible assessment tool for the admission process of the medical institutions. Conclusion: The overall positive responses of the candidate students and the interviewer faculty for the acceptability and feasibility of the MMI process as an assessment tool in the admission process to select medical students provide evidence for future research on the use of MMIs. In addition, other medical institutions can adapt or modify the MMI process per the available finances and resources within their local settings. Keywords: Multiple mini-interviews, Medical college admission process, acceptability, feasibility.

Sistem Informasi Penerimaan Siswa Baru Berbasis Web pada SMK Muhammadiyah 7 Jakarta

The problem that often occurs in the implementation of new student admissions is the delay in time from the decision holder who is in charge of distributing new student admission circulars that are not on time while prospective students have come to school and are ready to register, in the admission process they still use the form. in paper form so that prospective students are required to come to school and fill out data, there is no system capable of assisting the admissions process, and files used for registration are sometimes lost when they are needed to check student data. In order to create an adequate system that is able to overcome the problems that occur, it is necessary to create a system that can overcome the process of accepting new students quickly and according to the planned schedule. penelitian This provides a solution by reviewing some of the theory and field observations in order to design new admissions information system based on web. The application development methodology that the author uses is the SDLC (System Develop Life Cycle) method with the waterfall process model until the testing stage. The programming language used is PHP and utilizes the MySQL database as a database server. This New Student Admissions information system provides information in the form of registration activities for new prospective students, verification of registration requirements, and announcement of written test results for all prospective new students who register at SMK Muhammadiyah 7. This New Student Admission application provides convenience in carrying out the Admission process. New Students, especially for prospective new students who are outside Jakarta, or for prospective new students who are quite far from the location of SMK Muhammadiyah 7

Modeling College Admission as a Signaling Game

This paper models the college admission process as a signaling game between the admissions office and a pool of heterogeneous applicants characterized by academic abilities and demonstrated interest. In the screening and selection process, applicants attempt to signal their private information through their performance on a standardized test (for academic abilities) and interview (for demonstrated interest). We show, under general conditions, that a separating equilibrium exists in which it is incentive-compatible for applicants to reveal their characteristics truthfully, and thus the admissions office does not fall victim to the problem of information asymmetry. Furthermore, we delineate how this equilibrium can be induced by setting appropriate “scoring” thresholds associated with standardized tests and interviews.

Sistem Rekomendasi Jurusan pada Sekolah Menengah Kejuruan (SMK) dengan Algoritma K-Means

The system of determining majors in SMK Negeri 02 Moswaren South Sorong Regency, is very important, because in SMK there is no good majoring system so students are often wrong in choosing a major based on their abilities. The purpose of this study is to use the recommendation system of majors in vocational high schools (SMK) using the K-Means Algorithm. The research method conducted is to conduct interviews with the school or those responsible at smk to get the data they need. The results of the classification pattern of major determination can be used by the school in determining policies in determining prospective student majors in the admission process of new learners. After conducting this research, it was found that the system had successfully implemented the K-means algorithm to determine the priority of determining vocational expertise programs based on raport junior high school value criteria, interests, student talent

Assessment of ambulance services performance by queuing theory, at the Center for Disaster and Emergency Management: A descriptive-analytical study

Background: The emergency departments of the hospitals and emergency medical services (EMSs) centers have a critical role for providing urgent medical care for patients. The statistical data of the present study were provided by the EMS headquarters of the city of Isfahan, from August to November 2017. Results: The findings showed that on average, 210 missions were accomplished each day by the emergency call center, with an average duration of about 53 minutes, for each mission. In addition, the average time for response time (the time between a call and dispatch of the ambulance) was less than 3 minutes, and the average time for arrival time (the time between request of ambulance and the arrival to the scene) was 8.1 minutes. Adequacy of current number of ambulances and staff is evaluated.Conclusion: Considering an average of 8.1 minutes for arrival time, we conclude that the EMS of Isfahan is within an acceptable range, compared to the international standards. In fact, it is shown that the infrastructures of EMS system including ambulance fleets, staff, and equipment are sufficient, and as an effective step for reducing the total time of the mission, the EMS has to operate seamlessly with the patient’s admission process in hospitals. Information such as workload hours, availability of resources and staff, etc. ought to be shared between the EMS and the hospital.