Fuzzy subtractive clustering (FSC) with exponential membership function for heart failure disease clustering

The fuzzy clustering algorithm is a partition method that assigns objects from a data set to a cluster by marking the average location. Furthermore, Fuzzy Subtractive Clustering (FSC) with hamming distance and exponential membership function is used to analyze the cluster center of a data point. The data point with the highest density will be the cluster's center. Therefore, this research aims to determine the number of collections with the best quality by comparing the Partition Coefficient (PC) values for each number produced. The data set, which is heart failure patient data, is 150 data obtained from UCI Machine Learning. The data consists of 11 variables, including age

Implementasi Fuzzy Subtractive Clustering (FSC) untuk Pengelompokan Wilayah Penyebaran Covid-19 di Provinsi Jawa Timur

Di Indonesia, Covid-19 pertama kali ditemukan pada bulan Maret 2020 dan diumumkan bahwa dua orang perempuan yang terjangkit virus ini. Hingga saat ini virus masih menyebar, menurut Menteri Kesehatan bahwa daerah yang memiliki jumlah kasus yang tinggi salah satunya adalah Jawa Timur. Akibat dari tingginya penyebaran Covid-19 di Jawa Timur, maka diperlukan sebuah cara dalam memetakan suatu daerah terdampak Covid-19 agar diketahui daerah yang memiliki kelompok dengan kesamaan karakteristik atau kriteria setiap daearah. Metode yang digunakan yaitu gabungan dari metode FCM dan Subtractive Clustering yaitu Fuzzy Subtractive Clustering (FSC) yang memiliki keunggulan dari tingkat kecepatan, dalam hal iterasi, dan menghasilkan partisi data yang lebih stabil dan akurat. Pengelompokan wilayah diterapkan pada data sebaran bulan Januari-Desember 2021. Pada implementasinya diperoleh nilai Silhouette Coefficient sebesar 0,5257 yang berarti klaster dapat dikatakan baik dengan menggunakan jari-jari 0,4 dengan nilai faktor pengali 1,25 yang menghasilkan 2 klaster yang dimana klaster merah untuk daerah dengan tingkat kerawanan yang lebih tinggi daripada klaster hijau

Life Skills Education for Children with Special Needs In Order to Facilitate Vocational Skills

Children with special needs generally consist of children who experience delays and disruptions in their development so that require special handling to improve the ability of children with special needs. After conducting a survey at several extraordinary schools (SLB) in Makassar, it was found that the conventional delivery of materials from teachers resulted in an uncomfortable situation so that the students 'interest to learn a particular subject was very low, therefore a learning method was needed that could attract students' interest in following the lesson. Students hope to gain more knowledge and experience as study results, while teachers, on the other hand, expect that practical learning process can bring achievement in term of better cognitive, psychomotor, affective changes, and improvement of student life skill. After producing a Multimedia Based Learning model, this research carried out trial test on the developed product to several students of SLB (Sekolah Luar Biasa) in Makassar. It was found that the use of this Multimedia Based Learning Model by SLB students can develop their life skills such as personal skills, thinking skills, social skills, and vocational skills

Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm

Abstract— Online transportation has become a basic requirement of the general public in support of all activities to go to work, school or vacation to the sights. Public transportation services compete to provide the best service so that consumers feel comfortable using the services offered, so that all activities are noticed, one of them is the search for the shortest route in picking the buyer or delivering to the destination. Node Combination method can minimize memory usage and this methode is more optimal when compared to A* and Ant Colony in the shortest route search like Dijkstra algorithm, but can’t store the history node that has been passed. Therefore, using node combination algorithm is very good in searching the shortest distance is not the shortest route. This paper is structured to modify the node combination algorithm to solve the problem of finding the shortest route at the dynamic location obtained from the transport fleet by displaying the nodes that have the shortest distance and will be implemented in the geographic information system in the form of map to facilitate the use of the system. Keywords— Shortest Path, Algorithm Dijkstra, Node Combination, Dynamic Location (key words

Systematic Approaches for Telemedicine and Data Coordination for COVID-19 in Baja California, Mexico

Conference proceedings info: ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologies Raleigh, HI, United States, March 24-26, 2023 Pages 529-542We provide a model for systematic implementation of telemedicine within a large evaluation center for COVID-19 in the area of Baja California, Mexico. Our model is based on human-centric design factors and cross disciplinary collaborations for scalable data-driven enablement of smartphone, cellular, and video Teleconsul-tation technologies to link hospitals, clinics, and emergency medical services for point-of-care assessments of COVID testing, and for subsequent treatment and quar-antine decisions. A multidisciplinary team was rapidly created, in cooperation with different institutions, including: the Autonomous University of Baja California, the Ministry of Health, the Command, Communication and Computer Control Center of the Ministry of the State of Baja California (C4), Colleges of Medicine, and the College of Psychologists. Our objective is to provide information to the public and to evaluate COVID-19 in real time and to track, regional, municipal, and state-wide data in real time that informs supply chains and resource allocation with the anticipation of a surge in COVID-19 cases. RESUMEN Proporcionamos un modelo para la implementación sistemática de la telemedicina dentro de un gran centro de evaluación de COVID-19 en el área de Baja California, México. Nuestro modelo se basa en factores de diseño centrados en el ser humano y colaboraciones interdisciplinarias para la habilitación escalable basada en datos de tecnologías de teleconsulta de teléfonos inteligentes, celulares y video para vincular hospitales, clínicas y servicios médicos de emergencia para evaluaciones de COVID en el punto de atención. pruebas, y para el tratamiento posterior y decisiones de cuarentena. Rápidamente se creó un equipo multidisciplinario, en cooperación con diferentes instituciones, entre ellas: la Universidad Autónoma de Baja California, la Secretaría de Salud, el Centro de Comando, Comunicaciones y Control Informático. de la Secretaría del Estado de Baja California (C4), Facultades de Medicina y Colegio de Psicólogos. Nuestro objetivo es proporcionar información al público y evaluar COVID-19 en tiempo real y rastrear datos regionales, municipales y estatales en tiempo real que informan las cadenas de suministro y la asignación de recursos con la anticipación de un aumento de COVID-19. 19 casos.ICICT 2023: 2023 The 6th International Conference on Information and Computer Technologieshttps://doi.org/10.1007/978-981-99-3236-