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

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.

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.

The forest management decision support system project

1991 ◽  
Vol 67 (6) ◽  
pp. 622-628 ◽  
Author(s):  
Dan Bulger ◽  
Harold Hunt
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Forest Management ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Decision Makers ◽  
Management Decision ◽  
Management Decision Support

The focus of a decision support system is much different from Management Information Systems (MIS) and data-based "decision support systems". Decision support systems, as defined by the authors, focus on decisions and decision makers, and on information. Technology is treated as a tool and data as the raw material. In many traditional systems the focus is on the technology, and the data is the "information", while decision makers are, to some extent, externalized.The purpose of the Forest Management Decision Support System (FMDSS) project is to develop a set of software tools for creating forest management decision support systems. This set of tools will be used to implement a prototype forest management decision support system for the Plonski forest, near Kirkland Lake, Ontario.There are three critical ingredients in building the FMDSS, these are: (1) knowledge of the decision making process, (2) knowledge of the forest, and (3) the functionality of underlying support technology. The growing maturity of the underlying technology provides a tremendous opportunity to develop decision support tools. However, a significant obstacle to building FMDSS has been the diffuse nature of knowledge about forest management decision making processes, and about the forest ecosystem itself. Often this knowledge is spread widely among foresters, technicians, policy makers, and scientists, or is in a form that is not easily amenable to the decision support process. This has created a heavy burden on the project team to gather and collate the knowledge so that it could be incorporated into the function and design of the system. It will be difficult to gauge the success of this exercise until users obtain the software and begin to experiment with its use.

scholarly journals Implementation Of The SAW Method For Selection Of Best Operational Vehicles

2020 ◽  
Vol 4 (1) ◽  
pp. 67-75
Author(s):  
Irmawati Carolina ◽  
Fitra Hariman Hakim ◽  
Adi Supriyatna
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Complex Problem ◽  
Alternative Form ◽  
Simple Additive Weighting ◽  
Selection Of

Operational Vehicle is one of the assets owned by the company to help transportation that aims to facilitate the carrying out of a job. With the existence of operational vehicles can increase company productivity. The problems that exist in the process of selecting the best operational vehicles are still simple or depend on the company's budget. The purpose of this study is to obtain a decision in determining the selection of operational vehicles using several criteria and can provide solutions to determine the best choice of operational vehicles for company management. The method used by the author is Simple Additive Weighting (SAW) which can help in making decisions to overcome a complex problem. The results of this study are the decision support system can be used as a tool for decision making recommendations for companies in determining the selection of operational vehicles using the Simple Additive Weighting (SAW) method, in addition to providing an alternative form of decision support systems to help and facilitate the company's stakeholders in decide on operational vehicles.Keywords: Decision Support System, Operational Vehicle, SAW Method.

Sustainable Infrastructure Project Planning

2011 ◽  
pp. 255-270
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.

Conversation-Oriented Decision Support Systems for Organizations

Data Mining ◽  
2013 ◽  
pp. 1376-1389
Author(s):  
Paulo Garrido
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Decision Process ◽  
Support Systems ◽  
Decision Processes ◽  
Group Decision Support Systems ◽  
Compound Decision

This chapter proposes concepts for designing and developing decision support systems that acknowledge, explore and exploit the fact that conversations among people are the top-level “supporting device” for decision-making. The goal is to design systems that support, configure and induce increasingly effective and efficient decision-making conversations. This includes allowing and motivating participation in decision-making conversations of any people who may contribute positively to decision-making and to the quality of its outcomes. The proposal sees the sum total of decisions being taken in an organization as the global decision process of the organization. The global decision process of the organization is structured in decision processes corresponding to organizational domains. Each organizational domain has associated a unit decision process. If the organizational domain contains organizational sub-domains, then its compound decision process is the union and composition of its unit decision process and the unit decision processes of its sub-domains. The proposal can be seen as extending, enlarging and integrating group decision support systems into an organization-wide system. The resulting organizational decision support system, by its conversational nature, may become the kernel decision support system of an organization or enterprise. In this way, the global decision process of the organization may be made explicit and monitored. It is believed that this proposal is original.

Decision Support Systems for Marketing Managers

1979 ◽  
Vol 43 (3) ◽  
pp. 9-26 ◽  
Author(s):  
John D.C. Little
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
New Technology ◽  
Computing Power ◽  
The Past ◽  
Marketing Decision

In the past 10 years, a new technology has emerged for assisting and improving marketing decision making. We define a marketing decision support system as a coordinated collection of data, models, analytic tools, and computing power by which an organization gathers information from the environment and turns it into a basis for action. Where such systems have taken root, they have grown and become increasingly productive for their organizations.

scholarly journals Flexible Access to Models and Data through Decision Support Systems

1987 ◽  
Vol 12 (1) ◽  
pp. 51-56
Author(s):  
V Kenkata Rao
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Computer Application

Although computers have entered the Indian scene in a big way, their applications are either mundane or characterized by rigidity. Decision Support System (DSS) is a new departure: it is a computer application that supports decision making in managers by providing them with flexible access to models and data. Its potential in India for application is vast, but largely untapped, argues V Venkata Rao. The author goes on to explain the reasons why organization have been slow in adopting the DSS and gives guidelines for designing one.

scholarly journals Implementasi Metode Fuzzy Simple Additive Weighting (Fuzzy - Saw) Dalam Sistem Pendukung Keputusan Dengan Pendekatan Variabel Benefit Dan Cost

2018 ◽  
Vol 10 (2) ◽  
Author(s):  
Danny Matthew Saputra ◽  
Rusdi Efendi ◽  
Yunita
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Fuzzy Theory ◽  
Computer Based ◽  
Simple Additive Weighting ◽  
Cracking Process ◽  
Normalization Process

AbstrakDalam banyak kasus informasi ini kurang memadai untuk membuat sebuah keputusan yang spesifik guna memecahkan permasalahan tertentu. Oleh karena itulah Sistem Pendukung Keputusan dibuat sebagai suatu cara untuk memenuhi kebutuhan ini. Konsep sistem pendukung pengambilan keputusan yang berbasis komputer (computer based decision support system) saat ini sedang berkembang sangat pesat. Didalam proses pengambilan keputusan terdapat benyak kriteria yang digunakan, serta banyak juga metode yang bisa dipakai untuk mendapatkan solusi dari permasalahan tersebut. Metode yang akan dipakai dalam penelitian ini adalah fuzzy simple additive weighting, yang merupakan metode gabungan antara teori fuzzy dan metode penjumlahan bobot dalam system pendukung keputusan. Dalam metode ini terdapat dua bagian utama yang akan dibahas, yaitu proses pembobotan dan proses perengkingan. Dimana didalam proses pembobotannya terdapat proses normalisasi data yang membagi setiap variabel inputnya menjadi variabel benefit dan variabel cost. Adapun data uji yang akan digunakan sebanyak 120 buah data. Hasil perengkingan yang didapatkan dari metode ini nantinya akan dibandingkan dengan mengalikan nilai kepentingan data dengan data itu sendiri. Kata Kunci— Sistem Pendukung Keputusan, Metode Fuzzy SAWAbstractIn many cases this information is insufficient to make a specific decision to solve a particular problem. Therefore, Decision Support Systems are made as a way to meet these needs. The concept of computer-based decision support systems is currently developing very rapidly. In the decision making process there are a number of criteria used, as well as many methods that can be used to obtain solutions to these problems. The method that will be used in this research is fuzzy simple additive weighting, which is a combined method of fuzzy theory and weight sum method in decision support systems. In this method there are two main parts to be discussed, namely the weighting process and the cracking process. Where in the weighting process there is a data normalization process that divides each input variable into benefit variables and cost variables. The test data will be used as many as 120 pieces of data. The results of the cracking obtained from this method will be compared to multiplying the value of the importance of the data with the data itself Keywords- Decision Support System, Fuzzy SAW Method

Influence Diagrams as a Tool for Decision Support System Design

2011 ◽  
pp. 474-481 ◽  
Author(s):  
Peter O’Donnell ◽  
Rob Meredith
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
System Design ◽  
Decision Maker ◽  
Support System ◽  
Support Systems ◽  
Influence Diagrams ◽  
Decision Situation ◽  
Computer Based

This article examines the application of a modeling technique called influence diagramming to decision support system (DSS) analysis. Influence diagrams allow the development of a model of the natural (at least from the perspective of the decision maker) structure of a decision situation. These diagrams are simple to develop and understand, providing the DSS analyst and the decision maker with a useful basis for communication. The diagrams can also be easily translated into specifications detailing the design of a computer-based system. In particular, influence diagrams are well suited to the specification and description of spreadsheet-based models commonly used in contemporary decision support systems.

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