scholarly journals A METHOD OF MULTI-ATTRIBUTE ASSESSMENT USING IDEAL ALTERNATIVE: CHOOSING AN APARTMENT WITH OPTIMAL INDOOR ENVIRONMENT

2012 ◽  
Vol 16 (3) ◽  
pp. 338-353 ◽  
Author(s):  
Darius Kalibatas ◽  
Edmundas Kazimieras Zavadskas ◽  
Diana Kalibatienė
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Indoor Environment ◽  
Optimal Solution ◽  
Multi Attribute Decision Making ◽  
Optimal Values ◽  
Moora Method

An indoor environment of each building depends on a number of criteria, like temperature, humidity, noise, etc. Therefore, multi-attribute decision making (MADM) methods are used to assess alternatives and to choice the rational one. In this paper we suggest to add a concept of ideal alternative into assessment using MADM, since it allows both to determine the optimal solution and the deviation of each alternative (an indoor environment of a building) from the optimal values, e.g. ideal alternative. Therefore, a method of multi-attribute assessment using ideal alternative (MAAIA) is formulated in this paper. It is applied for the MOORA method to assess an indoor environment of apartments in block houses situated in Naujoji Vilnia, Vilnius, Lithuania. Obtained results of the assessment show that the proposed method is useful for decision support and assessment of alternatives.

SISTEM PENDUKUNG KEPUTUSAN DALAM PENENTUAN MUTU BERAS MISKIN MENGGUNAKAN FUZZY MADM MODEL YAGER

JURNAL TIKA ◽  
2021 ◽  
Vol 6 (02) ◽  
Author(s):  
Rini Meiyanti
Keyword(s):  
Decision Making ◽  
Economically Disadvantaged ◽  
Optimal Solution ◽  
Rice Quality ◽  
Disadvantaged Group ◽  
Rice Distribution ◽  
Fuzzy Madm ◽  
Multi Attribute Decision Making ◽  
Operational Activities ◽  
Do So

Rice distribution for economically disadvantaged group of people is one of the main  operational activities of  Bulog Company to advance Indonesian society welfare. Decision making for rice quality for the addressee often became a complicated problem. Overcoming those problems  takes an effective step in order to take a decision. One way to do so is to perform the classification process and search for the best result using the existing data. The use of software can be an optimal solution of the problem by using the method of Fuzzy Multi Attribute Decision Making (FMADM) Yager. This application will ease Perum Bulog to determine the best rice quality to be distributed to the economically disadvantaged group of people. After fuzzification of data to work with FMADM Yager perform pairwise comparisons are based on the value of an attribute of interest, determined the value of the weight (W), reappointment, and ranking the final results. Based on the results, then the KP. Adi Rizka an optimal alternative to the value of 0.8131 which it included in the category of suitable is 0.8. The system is built using the PHP programming language and MySQL database.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PRIORITAS CALON PENERIMA BANTUAN PROGRAM INDONESIA PINTAR (PIP) PADA SISWA TINGKAT SEKOLAH DASAR MENGGUNAKAN METODE MOORA

2021 ◽  
pp. 1-8
Author(s):  
Laurensia Agustin Manik ◽  
Yani Maulita ◽  
Indah Ambarita
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Optimization Method ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
A Value ◽  
Parental Work ◽  
Moora Method ◽  
To Receive

Regarding assistance from the recipients of the Smart Indonesia Program (PIP) because there are so many prospective recipients of PIP assistance who volunteered to get the assistance, the process of delivering aid is sometimes not on target. Invalid data causes errors in the distribution of PIPs given to recipients who are entitled to receive them. Special Decision Support System (SPK) was built to support the solution of a problem or for an opportunity, one of the PIP aid recipient's approval in the Binjai City Education Office so that it is right on target for students who will get PIP assistance. The role of decision support systems is needed to improve the efficiency of decision making in determining students who are eligible for PIP assistance. The method used in this system uses the Multi-Objective Optimization method on the basis of Ratio Analysis (MOORA) and by using 7 (seven) criteria, namely family conditions, report card scores, parental work, number of dependents, number of dependents of children who attend school, home conditions and parents' income as well as 10 (ten) alternatives that are student data. Based on the results of calculations using the MOORA method, students on behalf of MM (A9) are the best alternative to be given PIP assistance with a value of 0.2843

scholarly journals Fuzzy Multi-Attribute Decision Making (FMADM) Application on Decision Support Systems (SPK) to Diagnose a Type of Disease

2021 ◽  
Author(s):  
Sugiyarto Surono ◽  
Mustika Sari
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Diagnostic Errors ◽  
Initial Symptoms ◽  
Total Integral ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Two Stages

Fuzzy logic is widely applied to daily life with various methods. One method is fuzzy multi-attribute decision making (FMADM). FMADM is able to select the best alternative from a number of alternatives. In FMADM there is a supporting method so that the results obtained are accurate and optimal, namely the classic MADM method. One method in classic MADM is the Simple Additive Weighting (SAW) method. The SAW method is precisely used to minimize diagnostic errors, but if a decision support system is made, the SAW method still requires a further development method, one of which is the FMADM method with its development. The purposes of this study are to describe the steps of SAW method and the development of FDM in theory, implement SAW method and the development of FDM to diagnose a type of disease and implement it in a decision support system using GUI matlab. The completion step of those two methods is through two stages, the first one will go through FMADM stage with SAW, which is weighted sum, then the output will be used as input to the FDM method based on total integral values. The result of this study is proven by patient experienced initial symptoms of high fever at a temperature of 39.5° C - 40° C, very much spots appear in rumple leed test (> 50 petheciae), bleeding gums, rarely got nausea and headache, as well as diarrhea. Accuracy for the decision support system using MAPE was obtained 93% so that the decision support system with FMADM method to diagnose the disease was feasible to use.

scholarly journals Decision Support System Recommended for Position Increased at PD. Air Minum Jaya By Using SMART Method

2019 ◽  
Vol 3 (1) ◽  
pp. 134
Author(s):  
Rudianto Rudianto
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Human Resources ◽  
Support System ◽  
Assessment Data ◽  
Multi Attribute Decision Making ◽  
Innovation And Ethics ◽  
Support Decision Making

<span>Employees are one of the human resources that are very important in determining the success of the company's work. There fore the company must appoint employees into one of the positions according to the expertise desired by the company. There are still many managers to appoint their employees to only see how long they work without being supported by adequate expertise. So that the appointment of employees by managerial is subjective. For this reason, it is necessary to process employee assessment data that can help make it easier for a boss and the Payroll section to take a decision to recommend employees to take office. The method used to solve the problem of recommendation for promotion for employees by using the SMART method (Simple Multi Attribute Rating Technique) is a multi-attribute decision-making method used to support decision making in choosing between several alternatives. The criteria used in calculating the assessment are professional criteria, cooperation, leadership, innovation and ethics at work. Judging from the managerial aspects, the assessment can be developed with other criteria according to the needs of the company</span>

scholarly journals Multi-Attribute Decision Making with VIKOR Method for Any Purpose Decision

2018 ◽  
Author(s):  
Andysah Putera Utama Siahaan ◽  
Dodi Siregar ◽  
Darmawan Napitupulu ◽  
Darmawan Napitupulu
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Vikor Method ◽  
Policy Makers ◽  
Multi Attribute Decision Making

Implementation of Decision Support System for various purposes now can facilitate policy makers to get the best alternative from a variety of predefined criteria, one of the methods used in the implementation of Decision Support System is VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje), VIKOR method in this research got the best results with an efficient and easily understood process computationally, it is expected that the results of this study facilitate various parties to develop a model any solutions.

scholarly journals Pemilihan Marketplace Di Masa Pandemi Covid-19 Menggunakan Metode MOORA

2021 ◽  
Vol 6 (2) ◽  
pp. 149
Author(s):  
Sultan Chaeruddin ◽  
Icih Sukarsih ◽  
Respitawulan Respitawulan
Keyword(s):  
Decision Making ◽  
Optimization Method ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
New Normal ◽  
Multi Objective ◽  
Multi Attribute Decision Making ◽  
The Right ◽  
Almost All ◽  
Moora Method

AbstrakPandemi COVID-19 telah melanda hampir di seluruh dunia. Pandemi ini juga merupakan sebuah masa dimana masyarakat dituntut melaksanakan kebiasaan baru atau dikenal dengan New Normal. Kebiasaan baru ini juga mempengaruhi cara masyarakat dalam berbelanja khususnya berbelanja di marketplace. Dengan memilih marketplace yang tepat maka masyarakat atau konsumen dapat memenuhi kebutuhan seperti produk kesehatan dan rumah tangga yang paling dicari di masa pandemi. Metode Multi Objective Optimization on The Basis of Ratio Analysis atau MOORA adalah salah satu metode dari Multi Attribute Decision Making. Metode MOORA dapat digunakan untuk menentukan rekomendasi marketplace di masa pandemi COVID-19. Hasil yang diharapkan adalah diperoleh alternatif terbaik berdasarkan penilaian masyarakat dan perhitungan menggunakan metode MOORA sehingga dapat terlihat pula perilaku konsumen di masa pandemi dan menjadi masukkan bagi perusahaan marketplace di masa yang akan datang.Kata kunci - Pandemi COVID-19; Marketplace; MOORAThe COVID-19 pandemic has hit almost all over the world. This pandemic is also a period when people are required to carry out new habits, known as the New Normal. This new habit also affects the way people shop, especially shopping in the marketplace. By choosing the right marketplace, the community or consumers can meet needs such as health and household products that are most sought after during a pandemic. The Multi Objective Optimization method on The Basis of Ratio Analysis or MOORA is one of the methods of Multi Attribute Decision Making. The MOORA method can be used to determine marketplace recommendations during the COVID-19 pandemic. The expected result is that the best alternative is obtained based on community assessment and calculations using the MOORA method so that consumer behavior can also be seen during the pandemic and become input for marketplace companies in the future.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENJUALAN KELAPA BULAT DI INDRAGIRI MENGGUNAKAN METODE WEIGTED PRODUCT (WP)

2021 ◽  
Vol 3 (1) ◽  
pp. 7-15
Author(s):  
Firman ◽  
Muh. Rasyid Ridha
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Sales Data ◽  
Product Method ◽  
Multi Attribute Decision Making ◽  
Multiple Attributes ◽  
New System

Decision Support System (DSS) is a system that can assist a person in making accurate decisions and targeted. Many problems can be solved by using CMS, one of which is a decision support system round oil sales. There are several methods that can be used in building a Weigted Produck SPK them. Weighted product method is one of several methods MADM (Multi attribute Decision Making). MADM method is a method of decision-making that is based on multiple attributes. This study uses a product weighted in determining the feasibility of a decision support system round oil sales.And there are some criteria on which to base decisions, among others, price, distance, trannfortasi. To create a new system that mengefesienkan time in processing the sales data, Provide an overview of a suitable price for oil where the coconut farmers will be marketed. This research is beneficial to coconut seller. As the clouds or the community is able to sell the coconut with high prices and minimal costs.    

scholarly journals Fuzzy Multi-Attribute Decision Making untuk Klasifikasi Potensi Kewirausahaan Berdasarkan Theory of Planned Behavior (Fuzzy Multi-Attribute Decision Making for Classifying Entrepreneurial Potential based on Theory of Planned Behavior)

2020 ◽  
Vol 9 (1) ◽  
pp. 25-34
Author(s):  
Nova Rijati ◽  
Diana Purwitasari ◽  
Surya Sumpeno ◽  
Mauridhi Hery Purnomo
Keyword(s):  
Higher Education ◽  
Decision Making ◽  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Hamming Distance ◽  
Optimal Solution ◽  
Higher Education Management ◽  
Academic Behavior ◽  
Student Entrepreneurship ◽  
Multi Attribute Decision Making

Indonesia government has launched a program to encourage youth entrepreneurship as a strategy to improve national economy. This paper proposes a method to find an entrepreneurial potential based on academic behavior features that are extracted from the Higher Education Database PDDikti. The proposed approach applies the Fuzzy Multi-Attribute Decision Making (FMADM) technique. Rules for extracting features of student academic behavior were following Theory of Planned Behavior (TPB) and resulting in 14 features. The FMADM model combines Fuzzy Simple Additive Weighting and Fuzzy Technique for Order Preference by Similarity to Ideal Solution, which is called FSAW-TOPSIS. Friedman Test demonstrated that FSAW-TOPSIS gives more optimal solution with the highest Mean Rank of the potential entrepreneurial value of 2.96. Besides, through Hamming Distance Test, FSAW-TOPSIS results the best order with a 98% percentage and ranking of the smallest Squared Error of 0.3%, which makes the proposed model offered a better solution. It can be concluded that using TPB variables in PDDikti environment with FSAW-TOPSIS technique provides an optimal recommendation on student entrepreneurship potential, which can be used as a part of a decision-making system for higher education management.

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