scholarly journals An Intelligent Web-Based Decision Support System for Monitoring the Chronic Kidney Disease in Brazilian Communities

2020 ◽  
Author(s):  
Álvaro Sobrinho ◽  
Andressa C. M. da S. Queiroz ◽  
Gyovanne Bezerra Cavalcanti ◽  
Josaias de Moura Silva ◽  
Leandro Dias da Silva ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Developing Countries ◽  
Decision Support ◽  
Kidney Disease ◽  
Decision Tree ◽  
Decision Support System ◽  
Support System ◽  
Kappa Statistic ◽  
Web Based ◽  
Knowledge Based

Abstract Background: Chronic Kidney Disease (CKD) is a worldwide health problem, usually diagnosed in late stages of the disease, increasing public health costs and mortality rates. The late diagnosis is even more critical in developing countries due to the high levels of poverty, a large number of hard-to-reach locations, and sometimes lack/precarious primary care.Methods: We designed and evaluated an intelligent web-based Decision Support System (DSS) using the J48 decision tree machine learning algorithm, knowledge-based system concepts, the clinical document architecture, Cohen's kappa statistic, and interviews with an experienced nephrologist.Results: We provided a DSS methodology, that guided the development of the system to assist patients, primary care physicians, and the government in identifying and monitoring the CKD in Brazilian communities. The system provides remote monitoring features. A CKD dataset enabled the evaluation of the J48 decision tree algorithm, while Cohen's kappa statistic guided the evaluation of the knowledge-based system by interviews with an experienced nephrologist. Conclusion: The DSS facilitates the identification and monitoring of the CKD considering low-income populations in Brazil. In addition, the methodology and DSS can be re-used in other developing countries with similar scenarios. Trial registration: 47350313.9.0000.5013.

scholarly journals An Intelligent Web-Based Decision Support System for Monitoring the Chronic Kidney Disease in Brazilian Communities

2020 ◽  
Author(s):  
Álvaro Sobrinho ◽  
Andressa C. M. da S. Queiroz ◽  
Gyovanne Bezerra Cavalcanti ◽  
Josaias de Moura Silva ◽  
Leandro Dias da Silva ◽  
...  
Keyword(s):  
Public Health ◽  
Primary Care ◽  
Chronic Kidney Disease ◽  
Developing Countries ◽  
Decision Support ◽  
Kidney Disease ◽  
Decision Tree ◽  
Kappa Statistic ◽  
Web Based ◽  
Knowledge Based

Abstract Background: Chronic Kidney Disease (CKD) is a worldwide public health problem, usually diagnosed in the late stages of the disease, increasing public health costs and mortality rates. The late diagnosis is even more critical in developing countries due to the high levels of poverty, a large number of hard-to-reach locations, and sometimes lack/precarious primary care. Methods: We designed and evaluated an intelligent web-based Decision Support System (DSS) using the J48 decision tree machine learning algorithm, knowledge-based system concepts, the clinical document architecture, Cohen's kappa statistic, and interviews with an experienced nephrologist. Results: We provided a DSS methodology that guided the development of the system, that provides remote monitoring features, to assist patients, primary care physicians, and the government in identifying and monitoring the CKD in Brazilian communities. A CKD dataset enabled the training and evaluation of the J48 decision tree algorithm, while Cohen's kappa statistic guided the evaluation of the knowledge-based system by interviews with an experienced nephrologist. Conclusion: The DSS facilitates the identification and monitoring of the CKD considering low-income populations in Brazil. In addition, the methodology and DSS can be reused in other developing countries with similar scenarios.

scholarly journals Penerapan Sistem Pendukung Keputusan Menentukan Ranking Sekolah Unggulan Kabupaten Nias Dengan Menggunakan Metode AHP

2021 ◽  
Vol 4 (5) ◽  
pp. 323-330
Author(s):  
Kristiani Zega ◽  
Hasanul Fahmi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ahp Method ◽  
Web Based ◽  
Building Conditions ◽  
Knowledge Based ◽  
System Method ◽  
Computer Based ◽  
Support Methods

One of the computational methods that is currently developing is the Decision Support System method. Decision Support System is part of a computer-based information system including a knowledge-based system that is used to support decision making. In choosing a school, prospective students tend to follow their friends without knowing which school to go to in accordance with educational standards. The Analytical Hierarchy Process (AHP) method was declared feasible because it is faster and more effective, so it can be ascertained that the application of the AHP method can solve problems in the selection of superior schools in Nias Regency. Alternative data consisted of SMAN 1 Gido, SMAN 1 Botomuzoi, SMAN 2 Gunung Sitoli, SMAN 1 Gunungsitoli. Data criteria include Teacher Education, Building Conditions, School Cleanliness, Facilities. Processing of SPK using the AHP method resulted in the school of SMAN 2 Gunung Sitoli having the highest score of 2.68. Web-based system built using PHP with AHP decision support methods and MySQL database.

Perancangan Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Pada Bravo Supermarket Jombang

2016 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Fatikhatus Sholikhah ◽  
Diema Hernyka Satyareni ◽  
Chandra Sukma Anugerah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Customer Loyalty ◽  
Design Decision ◽  
Web Based ◽  
Business World ◽  
Election System ◽  
Simple Additive Weighting ◽  
The Town

Abstrak Persaingan merupakan hal yang biasa terjadi terutama dalam dunia bisnis, tidak terkecuali yang telah dialami oleh Bravo Supermarket Jombang. Bravo bukanlah satu-satunya supermarket di kota Jombang, sehingga Bravo harus bersaing dengan para kompetitornya agar Bravo bisa bersaing dan tetap produktif. Salah satu cara yang dapat digunakan dalam meningkatkan penjualan dan loyalitas pelanggan adalah dengan memberikan reward kepada para pelanggan terbaik. Oleh karena itu perlu dibuatlah sebuah perancangan sistem pendukung keputusan dalam pemilihan pelanggan terbaik pada Bravo. Dalam perancangan sistem yang dibuat nantinya berbasis web dengan metode SAW(Simple Additive Weighting)sebagai proses perhitungan pemilihan pelanggan terbaik. Hasil dari perancangan sistem pemilihan pelanggan terbaik pada Bravo Supermarket Jombang diharapkan dapat membantu pihak manajemen Bravo dalam pemilihan pelanggan terbaik yang akan menerima reward dan akhirnya akan mampu meningkatkan loyalitas pelanggan dan profit Bravo. Kata kunci: Bravo, sistem pendukung keputusan, pelanggan, SAW. Abstract Competition is a common thing, especially in the business world, is no exception has been experienced by Bravo Supermarket Jombang. Bravo is not the only supermarket in the town of Jombang, so that Bravo had to compete with its competitors in order Bravo to compete and remain productive. One way that can be used to increase sales and customer loyalty is to give rewards to the best customers. Therefore, it needs to be made to a design decision support system in the selection of the best customers on Bravo. In designing the system made later on a web-based method of SAW (Simple Additive weighting) as the process of calculating the best customer selection. The results of the election system design best customers at Bravo Supermarket Jombang expected to assist management in selecting the best customer Bravo who will receive rewards and will eventually be able to increase customer loyalty and profit Bravo. Key word: Bravo, decision support system, customers, SAW.

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

IMPLEMENTASI TEOREMA NAÏVE BAYES PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN REKOMENDASI TEMPAT WISATA TERBAIK DISULAWESI SELATAN

2019 ◽  
Vol 2 (1) ◽  
pp. 40-46
Author(s):  
Rikardo Chandra ◽  
Izmy alwiah Musdar ◽  
Junaedy .
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Web Based ◽  
Tourist Attractions ◽  
South Sulawesi

This study aims to design and build web-based decision support system applications used to recommend the best tourist attractions in South Sulawesi to tourists. The expected benefit of this research is to help the user get the best tourist recommendation information available in South Sulawesi based on the conditions in input factors. The theorem or method used in this study, namely the theorem Naïve Bayes. The design of the system isimplemented using PHP programming language and MYSQL database. Based on the results of the research, the authors have successfully built the application of decision support system to determine the recommendation of tourist attractions in South Sulawesi with 65% accuracy based on 20 tests conducted.

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