scholarly journals Sistem Pendukung Keputusan Pemilihan Kategori Skripsi Bagi Mahasiswa Sistem Informasi

2021 ◽  
Vol 2 (3) ◽  
pp. 339
Author(s):  
Renny Puspita Sari ◽  
Enricho Rasimin
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Decision Support System ◽  
Support System ◽  
University Faculty ◽  
Study Program ◽  
Using Data ◽  
Mathematics And Science

SPK or usually called the Decision Support System is a system for recommending decisions using data, at Tanjungpura University, Faculty of Mathematics and Science, more precisely is Information Systems, which is now has more than 200 students where students are there still often confused to lift the title of what thesis they want, therefore I will create a system that can recommend what thesis is better used in this Information Systems study program using the SAW method, so that students can find out what thesis category is suitable for these students. Because the system uses course scores as data to make decisions, the accuracy of the system can exceed 90%.

A Decision Support System for Evaluating and Selecting Information Systems Projects

2009 ◽  
Author(s):  
Hepu Deng ◽  
Santoso Wibowo ◽  
Sio-Iong Ao ◽  
Alan Hoi-Shou Chan ◽  
Hideki Katagiri ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Decision Support System ◽  
Support System

scholarly journals The Multicriteria Assessment Methodology of the Decision Support System Implementation Effectiveness

2010 ◽  
Vol 2 (2) ◽  
pp. 81-100
Author(s):  
Lilianna Ważna ◽  
Tadeusz Krupa
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Decision Support System ◽  
Support System ◽  
Information Technologies ◽  
Assessment Methodology ◽  
System Implementation ◽  
Maximum Absolute Error ◽  
Implementation Effectiveness ◽  
Multicriteria Assessment

The Multicriteria Assessment Methodology of the Decision Support System Implementation EffectivenessThe multi-criteria assessment methodology of implementation effectiveness of information systems illustrated by an example of decision support system (DSS) realized in w information technologies is presented in the article. The assessment of DSS under consideration takes place using the knowledge recorded in the form of fuzzy neural network, collected in an enterprise, on the basis of earlier realized implementations of other information systems. A model of retrieved DSS is expressed by means of a set of functionalities serving business processes of the enterprise under consideration. A model of implementation undertaking determined by means of a set of preparatory actions for the implementation and a set of directly implementation and exploitation actions is built for the retrieved DSS as well. Furthermore, a vector determining a current and planned implementation state of a set of DSS functionalities in the enterprise at time moments, before and after the commencement of planned implementation of the retrieved DSS is built. A concept of trapezoidal fuzzy numbers is used in building DSS models. An adjustment of fuzzy parameters of DSS models takes place by means of geometrical method of maximum absolute error points. A presented methodology enables to execute a multi-criteria effectiveness assessment of planned undertaking in relation to subjective criteria established by the enterprise (preferred time, cost and values of priority indexes). Additionally, the knowledge collected on the basis of earlier realized implementations of information systems and applied imprecise description of parameters taking into account errors made in their estimation in the past is used.

Study on E-Government and its Decision Support System

2014 ◽  
Vol 635-637 ◽  
pp. 1738-1741 ◽  
Author(s):  
Jun Tao ◽  
Jiao Liang Yu
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Fast Response ◽  
Multidimensional Analysis ◽  
Test Cases ◽  
Model Library ◽  
Response Performance ◽  
Using Data ◽  
Olap Analysis

Based on the analysis of E-government decision support system's basic theory and mainstream solutions, combined with the popular OLAP technology, presents a white spoon OLAP based decision support system to improve e-government program, using data warehouse and model library together to support OLAP analysis, test cases and successfully used with the project, the results show that this scheme can achieve the desired requirements, with better performance and fast response performance multidimensional analysis, OLAP operations can be completed with reference promotional value.

scholarly journals Metode Simple Additive Weighting (SAW) Dalam Pemilihan Sim Card Provider

2020 ◽  
Vol 1 (2) ◽  
pp. 97-108
Author(s):  
Andy Widya Putera ◽  
Anna Mukhayaroh ◽  
Samudi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
The Internet ◽  
Community Activities ◽  
Internet Connection ◽  
Sim Card ◽  
Using Data ◽  
Simple Additive Weighting ◽  
Selection Of

With the development of technology at this time Sim Card Provider is needed to support community activities. In Indonesia alone many Sim Card Provider many services and also ease of accessing the internet, sonsumers are required to see which Sim Card Provider suits their needs. To overcome the problem of selecting the Sim Card Provider, a Decision Support System will be made using the Simple Additive Weighting (SAW) method using data taken from questionnaires distributed to Sim Card Provider users, which is expected to help in the selection of the appropriate Sim Card Provider with Consumer needs. The author uses six criteria, namely Signal, Price, Internet Package, Internet Connection, Phone Bonus, SMS Bonus. By using five alternatives namely Simpati, XL, Indosat, Smartfren, Three (3). The final result of this study indicated that alternative 5 or Three (3) has the biggest result of 3,245 and alternative 3 namely Indosat has the lowest result among the alternatives which is 2,625.   Keywords: Criteria, Sim Card Provider, Simple Additive Weighting   Abstrak   Dengan berkembangnya teknologi pada saatini Sim Card Provider sangat dibutuhkan untuk menunjang aktivitas masyarakat. Di Indonesia sendiri banyak Sim Card Provider banyak menyediakan layanan dan juga kemudahan dalam mengakses internet, konsumen dituntut untuk melihat manakah Sim Card Provider yang sesuai dengan kebutuhan. Untuk mengatasi masalah pemilihan Sim Card Provider tersebut maka akan dibuat Sistem Pendukung Keputusan dengan menggunakan Metode Simple Additive Weighting (SAW) dengan menggunakan data yang diambil dari kuesioner yang dibagikan kepada para pengguna Sim Card Provider, yang diharapkan dapat membantu dalam pemilihan Sim Card Provider yang sesuai dengan kebutuhan Konsumen. Penulis menggunakan enam kriteria yaitu Sinyal, Harga, Paket Internet, Koneksi Internet, Bonus Telpon, Bonus Sms. Dengan menggunakan lima alternatif yaitu Simpati, XL, Indosat, Smartfren, Three (3). Hasil akhir dari penelitian ini menunjukan bahwa alternatif 5 atau Three (3) memiliki hasil terbesar yaitu 3,245 dan alternatif 3 yaitu Indosat memiliki hasil terendah diantara alternatif yang ada yaitu 2,625. Kata kunci: Kriteria, Sim Card Provider, Simple Additive Weighting

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