scholarly journals Decision Support System for Finding an Optimal Postquantum Key Encapsulation Mechanism. Part 2. Prototype Evaluation

2021 ◽  
Vol 7 (4) ◽  
pp. 78-84
Author(s):  
A. Vlasenko ◽  
M. Evsyukov ◽  
M. Putyato ◽  
A. Makaryan

This is the final part of the series of articles devoted to the development of a decision support system for choosing the optimal post-quantum key encapsulation mechanism. Efficiency of the methodology proposed for choosing the optimal implementation of the post-quantum cryptographic algorithm is evaluated and substantiated. The economic feasibility of approach is shown and its positive impact on the quality of the cryptographic information protection subsystem is demonstrated. Efficiency comparison of the prototype of the decision support system with existing software products aimed at supporting decision-making in the field of information security is carried out. The consistency of prototype’s recommendations with the conclusions of analytical studies in the field of post-quantum cryptography is checked.

2019 ◽  
Vol 3 (1) ◽  
pp. 57-75
Author(s):  
Wendi Usino ◽  
Ayi Bayyinah

Every year, the number of people who want to own a house by credit increase, therefore the chances of increasing problem loans will be greater. Non-Performing Loan (NPL) is an indicator to assess the performance of bank functions. The higher the NPL value, the performance of the bank is considered worse. In order to maintain the caution of banks (creditors) in the provision of credit, the bank needs to assess and determine the criteria of debtors who can be given credit. So the bank can make decisions precisely and accurately. In this research, the Researcher will design decision support system with Mamdani fuzzy logic method with the resulted output in the form of "rejected" or "approved" decision. The accuracy rate in this study is 98%. 2% of the difference consists of 63.64% is a debtor with NPL credit status (problematic). After the system was designed in this study, the researcher conducted an analysis to see the user behavior when using the system. The method used is Technology Acceptance Model (TAM). The result of TAM analysis is the simultaneous relationship among of all variables on the acceptance of information technology (acceptance of IT) have a positive impact. However, a partial relationship between perceived usefulness and attitude toward using does not have a positive effect.


Corn is one of the economic support from the agricultural sector which has recently shown a positive impact with increasing production from year to year, it has increased to 12.49% per year and is predicted to increase. Increasing corn production has had a very positive impact on economy, reduced imports and increased exports greatly helped Indonesia in improving the economy. Therefore the government strongly supports corn farming in Indonesia so that the government and farmers are aggressively looking for superior seeds for planting, with a faster harvest period and resistance to pests, a decision support system is made to select superior corn varieties with AHP method (analytical hierarchy process). In order to facilitate farmers in selecting superior and profitable types of corn. With this decision support system, it is expected that it can help in selecting the right and accurate corn varieties according to the farmer expectation.


EDIS ◽  
2007 ◽  
Vol 2007 (16) ◽  
Author(s):  
Matthew Langholtz ◽  
Douglas R. Carter ◽  
Donald L. Rockwood

Circular 1516, a 5-page paper by Matthew Langholtz, Douglas R. Carter and Donald L. Rockwood, describes a decision support system that can be used to determine the economic viability of SRWC systems for use in Florida. Includes references. Published by the UF School of Forest Resources and Conservation, May 2007. Retired from EDIS website October 2020.


2021 ◽  
Vol 3 (4) ◽  
pp. 258-269
Author(s):  
Milena Shitova ◽  
Sergey Ovanesyan

This study examined the problems of calculating the time to create a software product using the example of the company "RKIT" LLC. The article discussed the analysis of the most effective, from the point of view of the authors, methods for assessing the complexity of projects. As a result of the review, the authors suggested to create a decision support system. This system will consist of two blocks: an automated information computing system based on the PERT method and an artificial intelligence system in the form of an expert system, which is a repository of expert knowledge. The creation of a DSS will reduce the time for experts to make decisions and reduce the likelihood of a decrease in the profitability of the project, which will lead to an increase in the company's profit.


2020 ◽  
Vol 6 (4) ◽  
pp. 70-79
Author(s):  
A. Vlasenko ◽  
M. Evsyukov ◽  
M. Putyato ◽  
A. Makaryan

The purpose of this study is to develop a decision support system that will allow, for the given conditions of using the cryptosystem, to choose the most appropriate implementation of the post-quantum key encapsulation mechanism. In the first part of the series of articles, the problem of choosing the optimal implementation of the post-quantum key encapsulation mechanism is presented as a multi-criteria choice problem. Decision-making methods that are best applicable to the problem under consideration have been determined. An algorithm for solving the problem has been developed. A web application has been designed that implements the functionality of a decision support system.


2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih

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.


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