scholarly journals Analysis of the implementation of a multi-scenario decision support system in the treatment of lung cancer

2021 ◽  
Vol 5 (2(61)) ◽  
pp. 33-38
Author(s):  
Yevhen Artamonov ◽  
Viktoria Borisevich ◽  
Iurii Golovach
Keyword(s):  
Lung Cancer ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Gradual Transition ◽  
Research Attention ◽  
Intelligent Interface ◽  
Automation Systems

The object of the research is the decision support system in the treatment of lung cancer, the subject of the research – the use of a multi-scenario interface in the construction of decision support systems. One of the problem areas in software development is the need for multi-criteria adaptation of interfaces to users. This problem became especially acute after the introduction of quarantine when various automation systems began to develop rapidly, aimed at reducing direct contact between the customer and the service provider. If earlier software users were the more or less related group, now the difference began not only at the level of technical qualifications. Now, when developing software, more attention should be paid to physiological and psychological differences between users, features of hardware and software, environment, and other criteria. In the current situation, it turned out that in most cases automated systems are used by persons who are not interested in these systems but simply have to use them. One of the options for solving this problem is to create an adaptive universal interface. This research is aimed at analyzing methods for implementing multi-scenario decision support systems in the treatment of lung cancer. In the research, attention is paid to the following aspects: adaptive intelligent interface, architecture and structure of the adaptive intelligent interface, algorithms for the functioning of agents of adaptive system interfaces. In the research, the system was used by 500 participants for 30 days. The benchmark was the type of data display scenario selected at the start and end of the day. The research showed a gradual transition of users to scenarios of higher complexity, which involve the analysis of all available information. The tendency of reverse transitions decreases with time, and from the 18th day of using the system, the type of the selected interface changes in rare moments. These results proved the possibility of using automatically configurable interfaces, and bringing them to the final form will be achieved in 18–20 days of using the system.

scholarly journals Decision Support System Methods: A Review

2020 ◽  
Vol 2 (1) ◽  
pp. 192-201
Author(s):  
Megawaty Megawaty ◽  
Maria Ulfa
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Work ◽  
Work Systems ◽  
Automation Systems ◽  
Types Of Information

The current information system is the backbone of most companies or agencies. Currently there are various types of information systems including "transaction processing systems (TPS), office automation systems (OAS), knowledge work systems (KWS), management information systems (MIS), decision support systems (DSS), expert systems, groups decision support systems (GDSS), computer support collaborative work systems (CSCW), and executive support systems (ESS) ". Of the various types of information systems that are currently available decision support systems are widely used as aids in making decisions. For this reason, in this study, a study was conducted with a method that can be used in a decision support system. From the study conducted there are three decision support system methods that are often used, namely simple additive weighting (SAW), analytic hierarchy process (AHP), and simple multi attribute rating technique (SMART). The third method is a method that has a weighting value and criteria in the calculation process

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

Methodology for calculating the parameters of adaptive decision support systems with service elements

2020 ◽  
pp. 63-70
Author(s):  
Э.Э. Акимкина
Keyword(s):  
Mathematical Model ◽  
Information Processing ◽  
Decision Support ◽  
Decision Support System ◽  
Objective Function ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Computer Tools ◽  
Internal Influences

Проанализированы компьютерные средства для реализации адаптивной системы поддержки принятия решений; показано, что в качестве основных элементов обслуживания используются контролируемые серверы, в качестве основных инструментов обработки информации - запросы. Сформулирована целевая функция адаптивной системы поддержки принятия решений, направленная на максимизацию количества обрабатываемых в единицу времени запросов при различных меняющихся внешних и внутренних воздействиях. Методика расчета параметров исследуемой системы строится на основе предложенной математической модели. Computer tools are analyzed for implementing an adaptive decision support system; It is shown that controlled servers are used as the main service elements, and requests are used as the main information processing tools. The objective function of the adaptive decision support system is formulated, aimed at maximizing the number of requests processed per unit time under various changing external and internal influences. The methodology for calculating the parameters of the studied system is based on the proposed mathematical model.

Sustainable Infrastructure Project Planning

2011 ◽  
pp. 95-110
Author(s):  
Omar Mohd Faizal ◽  
Bambang Trigunarsyah ◽  
Johnny Wong
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Data Communication ◽  
Team Members ◽  
Infrastructure Project ◽  
Collaborative Platform

Most infrastructure project developments are complex in nature, particularly in the planning phase. During this stage, many vague alternatives are tabled - from the strategic to operational level. Human judgement and decision making are characterised by biases, errors and the use of heuristics. These factors are intangible and hard to measure because they are subjective and qualitative in nature. The problem with human judgement becomes more complex when a group of people are involved. The variety of different stakeholders may cause conflict due to differences in personal judgements. Hence, the available alternatives increase the complexities of the decision making process. Therefore, it is desirable to find ways of enhancing the efficiency of decision making to avoid misunderstandings and conflict within organisations. As a result, numerous attempts have been made to solve problems in this area by leveraging technologies such as decision support systems. However, most construction project management decision support systems only concentrate on model development and neglect fundamentals of computing such as requirement engineering, data communication, data management and human centred computing. Thus, decision support systems are complicated and are less efficient in supporting the decision making of project team members. It is desirable for decision support systems to be simpler, to provide a better collaborative platform, to allow for efficient data manipulation, and to adequately reflect user needs. In this chapter, a framework for a more desirable decision support system environment is presented. Some key issues related to decision support system implementation are also described.

Methodologies of Legacy Clinical Decision Support System

2017 ◽  
Vol 2 (2) ◽  
pp. 20-37
Author(s):  
Meenakshi Sharmi ◽  
Himanshu Aggarwal
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Clinical Decision Support ◽  
Support System ◽  
Clinical Decision Support System ◽  
Support Systems ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Research Area

Information technology playing a prominent role in the field of medical by incorporating the clinical decision support system (CDSS) in their routine practices. CDSS is a computer based interactive program to assist the physician to make the right decision at right time. Nowadays, clinical decision support systems are a dynamic research area in the field of computers, but the lack of understanding, as well as functions of the system, make adoption slow by physicians and patients. The literature review of this article focuses on the overview of legacy CDSS, the kind of methodologies and classifiers employed to prepare such a decision support system using a non-technical approach to the physician and the strategy-makers. This article provides understanding of the clinical decision support along with the gateway to physician, and to policy-makers to develop and deploy decision support systems as a healthcare service to make the quick, agile and right decision. Future directions to handle the uncertainties along with the challenges of clinical decision support systems are also enlightened in this study.

Application of Psychological Principles to Decision Support System Design: An Overview

1983 ◽  
Vol 27 (6) ◽  
pp. 479-481 ◽  
Author(s):  
Ruth H. Phelps
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
System Design ◽  
Support System ◽  
Support Systems ◽  
Psychological Perspective ◽  
Behavioral Decision ◽  
Definition Of

The Behavioral Decision Making session will focus on the application of psychological principles to the design of decision support systems. In this overview the definition of a decision support system and a psychological perspective are described.

scholarly journals Pemilihan Guru Berprestasi Menggunakan DSS (Decision Support System) Dengan Metode FMADM (Fuzzy Multiple Attribute Decission Making) Dan SAW (Simple Additive Weighting)

2018 ◽  
Vol 10 (1) ◽  
pp. 62
Author(s):  
Suryati Suryati ◽  
Zuraidah Jauhari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Sistem pendukung keputusan (decision support systems) merupakan bagian dari sistem informasi berbasis komputer termasuk sistem berbasis pengetahuan/manajemen pengetahuan yang dipakai untuk mendukung pengambilan keputusan dalam suatu organisasi atau perusahaan. Guru adalah faktor pendidik yang paling penting dalam sebuah lembaga kependidikan. Dengan harapan seorang guru tidak hanya mengajar namun juga dapat memberikan pendidikan serta prestasi yang membanggakan bagi dirinya, siswa dan lembaga. Lembaga akan memberikan penghargaan atau reward pada guru yang berhasil tersebut. Kendalanya adalah lamanya waktu untuk menyeleksi guru-guru yang dianggap berprestasi. Berdasarkan permasalahan tersebut, maka perlu dikembangkan adanya sebuah perangkat lunak agar bisa melakukan tugas–tugas secara mandiri sehingga dapat meminimalisir terjadinya kesalahan data maupun mempercepat proses penyeleksian guru berprestasi. Metode yang digunakan adalah FMADM (FuzzyMultiple AtributDecision Making) dan SAW (Simple Additive Weighting). Penelitian ini membahas mengenai pengkajian, analisis dan pengembangan sebuah sistem penunjang keputusan menggunakan pencocokan profil yang bersifat mandiri supaya bisa membantu institusi atau lembaga untuk memberikan reward sebagai penghargaan atas prestasi dari guru pada institusi atau lembaga bersangkutan.

scholarly journals Mengenal DEcision Support System (DSS)

2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Saliman Saliman
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems

Sistem Pendukung Keputusan (Inggris: Decision Support Systems disingkat DSS) adalah bagian dan sistem informasi berbasis komputer (termasuk sistem berbasis pengetahuan/manajemen pengetahuan) yang dipakai untuk mendukung pengambilan keputusan dalam suatu organisasi atau perusahaan. Dapat juga dikatakan sebagai sistem komputer yang mengolah data menjadi informasi untuk mengambil keputusan dari masalah semi-terstruktur yang spesifik. Sistem Pendukung Keputusan mulai dikembangkan pada tahun 1970. DSS dengan didukung oleh sebuah sistem informasi berbasis komputer dapat membantu seseorang dalam meningkatkan kinerjanya dalam pengambilan keputusan. Seorang manajer/pimpinan di suatu perusahaan/organisasi dapat memecahkan masalah semi struktur, di mana mansjer dan komputer harus bekerja sama sebagai tim pemecah masalah dalam memecahkan masalah yang berada di area semi struktur. DSS mendayagunakan resources individu-individu secara intelek dengan kemampuan komputer untuk meningkatkan kualitas keputusan.Kata kunci: Sistem lnformasi, SIM, DSS

scholarly journals SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN JAMUR TIRAM PUTIH TERBAIK MENGGUNAKAN LOGIKA FUZZY

2019 ◽  
Vol 3 (1) ◽  
pp. 73
Author(s):  
Yustria Handika Siregar ◽  
Adi Widarma
Keyword(s):  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Oyster Mushroom ◽  
Oyster Mushrooms

Abstract - White oyster mushroom is a micro business that is popular in most parts of Indonesia. At present many farmers cultivate white oyster mushrooms. In order for the quality of mushrooms to be optimal, the farmers in the cultivation of white oyster mushrooms always attend training. The quality of oyster mushrooms can be considered by factors that affect the growth of oyster mushrooms themselves. The good quality of mushrooms can increase the selling value of the mushrooms themselves. The decision support system can be used to determine the quality of oyster mushrooms. In this study also the implications of fuzzy logic. It is hoped that the farmers can use the quality of the best oyster mushrooms.Keywords - Decision Support Systems, Best Quality, White Oyster Mushrooms and Fuzzy Logic.  Abstract - Jamur  tiram  putih  merupakan  usaha  mikro  yang  populer  sebagian  besar  di  wilayah  Indonesia. Pada saat ini banyak para petani yang membudidayakan jamur tiram putih. Agar kualitas jamur dapat optimal maka para petani dalam budidaya jamur tiram putih selalu mengikuti pelatihan- pelatihan.  Kualitas  jamur  tiram  dapat  diperhatikan  dengan  faktor-faktor  yang  mempengaruhi pertumbuhan  jamur  tiram  itu  sendiri.  Kualitas  jamur  yang  baik  dapat  meningkatkan  nilai  jual jamur  itu  sendiri.  Sistem  pedukung  keputusan  dapat  digunakan  dalam  menentukan  kualitas jamur  tiram.  Dalam  penelitian  ini  juga  di  impletasikan  logika  fuzzy.  Diharapkan  dapat digunakan para petani dalam menentukan kualitas jamur tiram terbaik. Kata kunci - Sistem Pendukung Keputusan, Kualitas Terbaik, Jamur Tiram Putih dan Logika Fuzzy.

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