scholarly journals GT-Bidding: Group Trust Model of P2P Network Based on Bidding

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Lin Zhang ◽  
Xinyan Wei ◽  
Yanwen Huang ◽  
Haiping Huang ◽  
Xiong Fu ◽  
...  
Keyword(s):  
Trust Model ◽  
Human Society ◽  
Ideal Solution ◽  
P2p Networks ◽  
Topsis Method ◽  
Impact Function ◽  
Order Preference ◽  
Group Trust ◽  
Bidding Process ◽  
The Ideal

Due to the lack of trusted third parties as guarantees in peer-to-peer (P2P) networks, how to ensure trusted transactions between peers has become a research hotspot. However, the open and distributed characteristics of P2P networks have brought challenges to network security, and there are problems such as node fraud and unavailability of services in the network. To solve the problem of how to select trusted transaction peers in P2P groups, a new trust model, GT-Bidding, is proposed in this paper. This model follows the bidding process of human society. First, each service peer applies for a group of guarantee peers and carries out credit mortgages for this service. Second, based on the entropy and TOPSIS method (Technology for Order Preference by Similarity to an Ideal Solution) approaching the ideal solution, a set of ideal trading sequences is selected. Then, the transaction impact function is used to assign weights to the selected guarantee peers and service nodes, respectively; thus, the comprehensive trust of each service node can be calculated. Finally, the service peer is verified using feedback based on the specific confidence level, which encourages the reputation of the service and its guarantee peers to update. Experiments show that GT-Bidding improves the successful transaction rate and resists complex attacks.

scholarly journals Performance Appraisal of Select Nations in Mitigation of COVID-19 Pandemic using Entropy based TOPSIS Method

2021 ◽  
Vol 26 (4) ◽  
pp. 1419-1428
Author(s):  
Debasis Neogi
Keyword(s):  
Performance Appraisal ◽  
Entropy Method ◽  
Mitigation Strategy ◽  
Ideal Solution ◽  
Topsis Method ◽  
Performance Score ◽  
Decision Making Problem ◽  
Order Preference ◽  
The Usa ◽  
The Ideal

Abstract The present study was an effort to assess the mitigation interventions carried out, so far, by the nations to fight the pandemic COVID-19. The novelty of the study was that it had considered the issue of pandemic mitigation strategy as a decision making problem. The performances of the twenty nations were to be ranked. The problem considered in the study was essentially a Multi-Criteria Decision Analysis (MCDA) problem. The available alternatives were the 20 countries and the 8 traits were the criteria. The Technique of Order Preference Similarity to the Ideal Solution (TOPSIS) was used in the present study. The study used Entropy method for assignment of weights to all the criteria. The performance score obtained in respect of the countries considered in the study and the corresponding ranks indicated the relative performances of the countries in their efforts to mitigate the COVID-19 pandemic. The results show that New Zealand is the best performing country and India is the worst one. Brazil ranked 17th, while the rank of UK was 15. The performance of the USA stood at 18th position.

scholarly journals Penentuan Wali Kelas Yang Ideal Menggunakan Metode TOPSIS

2019 ◽  
Vol 5 (2) ◽  
pp. 85
Author(s):  
Nafis Sururi ◽  
Kusrini Kusrini ◽  
Sudarmawan Sudarmawan
Keyword(s):  
Decision Making ◽  
School Environment ◽  
Formal Education ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Ideal Solution ◽  
Topsis Method ◽  
Order Preference ◽  
The Ideal

Pendidikan merupakan salah satu hal yang penting dalam suatu negara. Pendidikan bisa didapatkan pendidikan formal, informal maupun nonformal. Contoh pendidikan formal adalah sekolah dan pergururan tinggi, di dalam sekolahan terdapat wali kelas yang bertanggung jawab terhadap peserta didik di satu kelas atau ruang belajar di lingkungan sekolah. Dalam menentukan wali kelas yang ideal kepala sekolah dapat melihat karakteristik dan kemampuan yang dimiliki guru secara objektif. Multiple Criteria Decision Making (MCDM) merupakan salah satu metode yang paling banyak digunakan dalam pengambilan keputusan. Salah satu metode MCDM adalah Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Penelitian ini menggunakan metode TOPSIS yang dapat menganalisis keputusan multi-kriteria dimana metode tersebut dapat memilih alternatif terbaik dengan jarak terdekat dari alternatif ideal. Hasil yang diperoleh dari penelitian ini adalah Penentuan wali kelas dilakukan dengan cara mencari nilai preferensi setiap guru yang paling besar dari 3 kelas yang digunakan. Perhitungan yang dilakukan menggunakan bobot berbeda pada setiap kelas agar mendapatkan nilai prefensi sebagai acuan penentuan wali kelas yang ideal.Kata Kunci—Wali kelas, Ideal, TOPSISEducation is one of the important things in a country. Education can be obtained from formal, informal or non-formal education. Examples of formal education are schools and high schools, in schools there is a homeroom teacher who is responsible for students in one class or study room in a school environment. In determining the ideal homeroom, the principal can see the characteristics and abilities of the teacher objectively. Multiple Criteria Decision Making (MCDM) is one of the most widely used methods in decision making. One of the MCDM methods is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). This study uses the TOPSIS method which can analyze multi-criteria decisions where the method can choose the best alternative with the closest distance from the ideal alternative. The results obtained from this study are Determination of the homeroom teacher is done by finding the preference value of each teacher, the largest of the 3 classes used. Calculations performed using different weights for each class in order to get the value of the prefix as a reference for determining the ideal homeroom teacher.Keywords—Homeroom teacher, Ideal, TOPSIS

scholarly journals The idealPosition System: Sebagai Solusi Pendukung Keputusan untuk Menentukan Pemain Bola yang Ideal Berdasarkan Posisi Pemain

2020 ◽  
Vol 6 (2) ◽  
pp. 78-88
Author(s):  
Faisal F Taran ◽  
Abdul Mubarak ◽  
Firman Tempola ◽  
Achmad Fuad ◽  
Salkin Lutfi
Keyword(s):  
Decision Support ◽  
Support System ◽  
Soccer Player ◽  
Football Player ◽  
Football Players ◽  
Ideal Solution ◽  
Topsis Method ◽  
Order Preference ◽  
Long Time ◽  
The Ideal

In North Maluku, especially in Ternate, many football schools have been opened to train and find potential Indonesian National players. One of them has contributed to producing Indonesian National player candidates, namely Sekolah Sepak Bola (SSB) Tunas Gamalama. The problems that occur at this time at SSB Tunas Gamalama, managers and coaches are difficult to determine the ideal player to fill each position. Oftentimes, SSB Tunas Gamalama students choose a position according to their idol football players, and also because of the popularity of these positions. The tendency of SSB Tunas Gamalama students to be like this results in an imbalance of potential players in certain position. During this time the coach takes a long time and is often subjective in selecting players at every position available. In this research, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used as a method of decision support. This article aims to build a Decision Support System (DSS) in determining the ideal football player based on the player's position (The idealPosition System) using the TOPSIS method. This research produces DSS which can be used to determine the ideal soccer player based on the player's position.

Evaluation of Cyberwar’s Synthetical Ability Based on TOPSIS Method

2014 ◽  
Vol 615 ◽  
pp. 286-289
Author(s):  
Jia Ping Tian ◽  
Su Na Cao ◽  
Jia Xing Du ◽  
Ping Chen ◽  
Huan Zhan
Keyword(s):  
Ideal Solution ◽  
Topsis Method ◽  
Order Preference ◽  
Evaluation Parameters

A evaluation of cyberwar’s synthetical ability based on TOPSIS method is discussed in this article. The method is a technique for order preference by similarity to ideal solution which can avoid the difficulty in traditional evaluations that regard the multi-evaluation parameters as a single efficiency evaluating value. The article supply a new idea to the evaluation of cyberwar’s synthetical ability.

Comprehensive Decision-Making Model for the Evaluation of Sustainable Products

2014 ◽  
Vol 644-650 ◽  
pp. 5532-5537
Author(s):  
Chang Chun Zhou ◽  
Xiu Fen Zhao ◽  
Cong Ying Deng ◽  
Li Liu ◽  
Zhi Hong Dong ◽  
...  
Keyword(s):  
Comprehensive Evaluation ◽  
Environmental Issues ◽  
Evaluation Procedure ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Sustainable Products ◽  
Order Preference ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
The Ideal

Environmental issues have been receiving an increasing amount of attention. However, evaluating sustainable products is a challenging task. A comprehensive approach to evaluate sustainable products based on life cycle assessment strategy is proposed in this study. The evaluation procedure is based on the combination of analytic hierarchy process (AHP) and the technique for order preference by similarity to the ideal solution (TOPSIS) method. A sample evaluation for disposable coffee cups is provided to illustrate the comprehensive evaluation of sustainable products.

scholarly journals Comparison of the Economic Performance of Turkish Republics in Central Asia with TOPSIS Method

2015 ◽  
Author(s):  
Ziya Gökalp Göktolga ◽  
Engin Karakış ◽  
Hakan Türkay
Keyword(s):  
Decision Making ◽  
Central Asia ◽  
Economic Performance ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Economic Management ◽  
Macroeconomic Indicators ◽  
Order Preference ◽  
Negative Ideal Solution

The aim of this study is to compare the economic performance of Turkish Republics in Central Asia with Multi Criteria Decision Making (MCDM) methods. Turkish Republics have been experiencing a transition from a centrally planned economy towards a market economy since their independence. In this study important macroeconomic indicators are used to determine economic performance. Economic performance evaluation of the country is an important issue for economic management, investors, creditors and stock investors. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method outranks the countries according to the proximity of the positive ideal solution and distance of the negative ideal solution. Economic Performance of Turkish Republics in Central Asia (Azerbaijan, Turkmenistan, Kazakhstan, Kyrgyzstan, and Uzbekistan) are compared with TOPSIS method. İnvestigated with TOPSIS method countries best and worst economic performance years are detected during mentioned period and results are analyzed.

scholarly journals PEMILIHAN WISATA MENGGUNAKAN TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) DENGAN VISUALISASI LOKASI OBJEK

2018 ◽  
Vol 5 (1) ◽  
pp. 75
Author(s):  
Dwi Ely Kurniawan
Keyword(s):  
Tourist Attraction ◽  
Ideal Solution ◽  
Topsis Method ◽  
Google Maps ◽  
Web Based ◽  
Strategic Location ◽  
Order Preference ◽  
To Come ◽  
Tourism Potential ◽  
Tourist Information

<p><em>Batam is one of the existing city in Riau Islands Province, Indonesia. The amount of tourism potential and strategic location for tourists to come to Batam. But what is being searched is the difficulty of finding a tourist attraction based on certain parameters. To overcome these problems, it takes a technology that provides tourist recommendation map information. This research develops this application to give recommendation of tourism based on certain parameters as needed by using TOPSIS method in Batam City web based. The results of development, the application can run functionally (online), can store the tour data and criteria. It can also do the calculation of attractions based on TOPSIS decision. Users can fill the weight of some parameters of distance, time and cost. In order to provide ease in location visualization, the final result of decision calculation is able to provide tourist information in the form of object location of Google Maps API and a brief description of the tour.</em></p><p><em><strong>Keywords</strong>: location, tourist attraction, decision, TOPSIS</em></p><p><em>Batam merupakan salah satu Kota yang terdapat di Provinsi Kepulauan Riau, Indonesia. Banyaknya potensi pariwisata dan lokasi yang strategis membuat peluang wisatawan untuk datang ke Kota Batam. Namun kendala yang ditemukan adalah sulitnya menemukan objek wisata berdasarkan parameter tertentu. Untuk mengatasi masalah tersebut, maka dibutuhkan sebuah teknologi aplikasi yang menyajikan informasi peta rekomendasi wisata di Kota Batam berbasis web. Penelitian ini mengembangkan aplikasi ini untuk memberikan rekomendasi wisata berdasarkan parameter tertentu sesuai kebutuhan wisatawan dengan menggunakan metode TOPSIS. Hasil pengembangan aplikasi dapat berjalan secara online dapat mengelola data wisata dan data kriteria. Selain itu juga dapat melakukan perhitungan objek wisata berdasarkan keputusan TOPSIS. Pengguna dapat mengisi bobot dari beberapa parameter yaitu waktu, jarak dan biaya. Agar dapat memberikan kemudahan dalam visualisasi lokasi hasil akhir perhitungan keputusan, memberikan informasi wisata berupa lokasi objek dari Google Maps API dan deskripsi singkat wisata tersebut.</em></p><p><em><strong>Kata Kunci</strong>: lokasi, potensi wisata, keputusan, TOPSIS</em></p><p><em><br /></em></p>

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI PEMBUKAAN CABANG USAHA ONLINE BICYCLE INDONESIA DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) DAN TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS)

2021 ◽  
Vol 11 (2) ◽  
pp. 469-479
Author(s):  
Rizki Adha ◽  
Tjahjanto Tjahjanto
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Food Delivery ◽  
Ideal Solution ◽  
Fixed Costs ◽  
Topsis Method ◽  
Order Preference ◽  
Hierarchy Process

The choice of business location will affect the risks and benefits of the company as a whole. This condition occurs because the location greatly affects the fixed costs and variable costs, both in the medium term and long term. The location of the business should be taken into account at the time of planning, so that the business to be run can be organized implementation in the future. Online Bicycle Indonesia is a startup engaged in goods and food delivery services by using online-based bike, will open branches in several cities and districts in Tangerang Raya area so that the result of choosing the right branch location, required a dynamic decision support system that can later be used as consideration of managers in the process of selecting branch locations. Problems in selecting branch of this company can be used Decision Support System using AHP-TOPSIS method. Analytical Hierarchy Process (AHP) method has advantages based on pair comparison matrix and perform consistency analysis, while Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method can solve practical decision making, because the concept is simple and easy to understand, and have the ability to measure the relative performance of decision alternatives. The results of the study show Kota Tangerang Selatan is superior to the weight of 0.824, the two Kota Tangerang with a weight of 0.732 and three Kabupaten Tangerang with a weight of 0.0, The decision taken can be accounted for by the calculation of AHP-TOPSIS as a model in the decision support system

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMBELIAN MOBIL MENGGUNAKAN METODE TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY OF IDEAL SOLUTION (TOPSIS) DI KELIP MOTOR KARANGANYAR

2019 ◽  
Vol 7 (1) ◽  
Author(s):  
Yulian Tirta Saputra ◽  
Sri Hariyati Fitriasih ◽  
Setiyowati Setiyowati Setiyowati
Keyword(s):  
Decision Support ◽  
Research Method ◽  
Purchase Decision ◽  
Ideal Solution ◽  
Purchasing Decisions ◽  
Topsis Method ◽  
Application System ◽  
Order Preference ◽  
The Many ◽  
Collection Methods

Car is one of the means of transportation that is growing rapidly in the country of Indonesia, because of its comfort and safety. However, problems arise when buyers will buy a car vehicle often faced with a variety of choices of years, types, prices and various other criteria offered. Of the many criteria, buyers have difficulty comparing criteria with other criteria. So, a decision support system was built using the TOPSIS method to rank each alternatif cars based on criteria. The purpose of this study is to build a system of car purchase decision support applications using the TOPSIS method that can provide car recommendations in accordance with the wishes of the buyer. The research method used includes data collection methods and system design methods. The formulation of the problem in this study is how to make car purchasing decisions at Kelip Motor Karanganyar applying the TOPSIS method and how to build an application system for car purchasing decisions by applying the TOPSIS method at Kelip Motor Karanganyar. The result of this research is to build an application system for car purchasing decisions in Kelip Motor Karanganyar using the TOPSIS method.

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