Reengineering the requirements process for executive support system development using an electronic meeting system

1994 ◽  
Author(s):  
Emery
Keyword(s):  
Support System ◽  
System Development ◽  
Requirements Process ◽  
Electronic Meeting System

Decision Support System Development Based On Android Using Analytical Hierarchy Process (AHP) Method For Determining The Middle Small Business Development Priority In Sorong City

2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih
Keyword(s):  
Decision Support ◽  
Small Business ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
System Development ◽  
Business Development ◽  
Ahp Method ◽  
Small Business Development ◽  
Hierarchy Process

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.

Development of Finite Element Analysis Support System Based on the Hybrid Knowledge Model

1992 ◽  
Author(s):  
S. Nagasawa ◽  
H. Sakuta ◽  
M. Goto
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Support System ◽  
System Development ◽  
Object Oriented ◽  
Data Representation ◽  
General Purpose ◽  
Element Analysis ◽  
Intelligent Support ◽  
Hierarchical Representation

Abstract This paper deals with conceptual orientation and system development of intelligent support system for general purpose FEA (finite element analysis) programs. An integrated support system called “InhierTalk” (Integrated interactive environment for hierarchical representation for FEA) has been developed in Smalltalk, an object oriented language, in order to confirm effectivity of hierarchical representation and to establish an optimum method of the system development. Two object-oriented knowledge models which consist of macro visual data representation and micro regularized data representation are proposed. In the development, it is found to be clear that active and passive evaluation methods are effective for construction of support system.

Social Media in DMSS System Development and Management

2013 ◽  
pp. 104-116
Author(s):  
Daniel E. O’Leary
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Support System ◽  
System Development ◽  
Media Content ◽  
Project Development ◽  
Media Technologies ◽  
Use Of Social Media ◽  
Project History ◽  
Development And Management

This paper surveys and extends the use of social media technologies as part of decision making support system (DMSS) development and management. In particular, this paper investigates how social media technologies, such as wikis, blogs, micro-blogs and tagging, have been and can be used to facilitate development and management of DMSS, through communication and collaboration. However, the author suggests going beyond simply communication and collaboration. The particular focus is on using an analysis of digital media content to address a range of issues, including using social media content to facilitate capturing project history, doing an analysis of that content to facilitate documentation development, and monitoring content from social media to provide insights into project development. Domain-based characteristics of the text are investigated to discover meaning in social media content.

On the Ontology of a Decision Support System in Health Informatics

2011 ◽  
pp. 120-142 ◽  
Author(s):  
Pirkko Nykanen
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Health Informatics ◽  
System Development ◽  
Systems Science ◽  
Problem Analysis ◽  
Application Characteristics ◽  
Task Ontology ◽  
Knowledge Creation And Sharing

A decision support system can be approached from two major disciplinary perspectives, those of information systems science (ISS) and artificial intelligence (AI). We present in this chapter an extended ontology for a decision support system in health informatics. The extended ontology is founded on related research in ISS and AI and on performed case studies in health informatics. The ontology explicates relevant constructs and presents a vocabulary for a decision support system, and emphasises the need to cover environmental and contextual variables as an integral part of decision support system development and evaluation methodologies. These results help the system developers to take the system’s context into account through the set of defined variables that are linked to the application domain. This implies that domain and application characteristics, as well as knowledge creation and sharing aspects, are considered at every phase of development. With these extensions the focus in decision support systems development shifts from a task ontology towards a domain ontology. This extended ontology gives better support for development because from it follows that a more thorough problem analysis will be performed.

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