scholarly journals Decision Support System Fuzzy Analytic Hierarchy Process Method Studi Kasus Pemilihan Vendor Kemasan Terbaik

2021 ◽  
Vol 5 (2) ◽  
pp. 124
Author(s):  
Najmuddin Najmuddin ◽  
Arief Herdiansah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

scholarly journals Decision support system for selecting tourist attractions using fuzzy analytic hierarchy process

2021 ◽  
Vol 10 (3) ◽  
pp. 1252-1261
Author(s):  
Christa Bire ◽  
Daniel Kasse ◽  
Rio Bire
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Analytic Hierarchy Process ◽  
Fuzzy Analytic Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Analytic Hierarchy ◽  
Tourist Attractions ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

The selection of tourist attractions is a multi-criteria decision making problem, which requires time and careful consideration to make the right decision. The proper destination selection based on human needs in a particular moment affects satisfaction in traveling. This research aims to create a decision support system for selecting tourist attractions (a case study in Kupang City) using fuzzy analytic hierarchy process method. Users can input the priority scale of 9 human need attributes and then be directed to the system’s recommendations of tourist attractions. This paper also compares fuzzy analytic hierarchy process method with the original analytic hierarchy process calculations. The result shows that both methods can be a solution for multi-criteria decision making, but the fuzzy analytic hierarchy process method performs a more optimal solution for cases with uncertainty in comparisons between elements.

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

The Decision Support System in Selecting The Characteristics of Coffee By Using Analytic Hierarcy Process Method

2020 ◽  
Vol 6 (2) ◽  
pp. 60-63
Author(s):  
Novrini Hasti ◽  
Riswan Fitriyandi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
System Application ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Adequate Understanding ◽  
The Common ◽  
Hierarchy Process ◽  
Process Method

This study is to determine whether the characteristics of coffee flavor can be implemented into a decision support system. In this study, the problem is the difficulty in finding coffee experts with adequate understanding and knowledge of coffee. The purpose is to implement Analytic Hierarchy Process (AHP) method to determine the characteristics of coffee flavor and to transfer the knowledge about the taste of coffee to coffee lovers. The expected results are to assist in making a decision support system application in selecting the characteristics of coffee, so that it can provide the advice to the common consumers who want to enjoy and the knowledge about the coffee itself as well.

scholarly journals Decision Support System Budget Allocation Fund Village With AHP method (Analytic Hierarchy Process) In the village of beehive

2020 ◽  
Vol 2 (1) ◽  
pp. 53-62
Author(s):  
Ilham Pramuja Nasution ◽  
Arjon Samuel Sitio
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Budget Allocation ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
The Village

The budget allocation of a village fund is very important and take big effect to village progress Because the office to distribute the tax result for village development. But, that allocation is not accurately. Therefore there was design a system to support a decision a budget allocation of village funds by using an Analytical Hierarchy Process (AHP) method. This research done to the make-easy an office village in budgeting is the allocation of village funds. An method of Analytical Hierarchy Process (AHP) is one of a method known as important as the highest level. An AHP method is look for the best alternative

Fuzzy Analytic Hierarchy Process Based Reputation Evaluation for Generating Companies

2014 ◽  
Vol 556-562 ◽  
pp. 6660-6664
Author(s):  
Jun Xia Wang ◽  
Ying Yu ◽  
Xiao Hui Sun
Keyword(s):  
Analytic Hierarchy Process ◽  
Influence Factors ◽  
Power Industry ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Numerical Examples ◽  
Triangular Number ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

It is not easy to evaluate the reputation of generating companies as the influence factors are multiple, complex, and partly subjective. A fuzzy Analytic Hierarchy Process method (AHP) with a set of power industry relevant criteria is applied in this paper. The fuzzy triangular number is introduced to characterize the subjective judgment of experts, and AHP is used to deal with the multiple evaluation factors, and to calculate the relevant weights with the aid of the arithmetic laws of fuzzy triangular number. Numerical examples illustrate the effectiveness of this model.

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