scholarly journals DEVELOPMENT OF DECISION SUPPORT SYSTEM DETERMINING THE STUDENT AS SCHOLARSHIP RECIPIENTS BY FUZZY MULTI ATTRIBUTE DECISION MAKING (FMADM)

2014 ◽  
Vol 9 (2) ◽  
pp. 75 ◽  
Author(s):  
Hoga Saragih ◽  
Murni Marbun ◽  
Bobby Reza
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Topsis Method ◽  
Software Application ◽  
Multiple Attribute ◽  
Scholarship Recipients ◽  
Multi Attribute Decision Making

This research is the design of a decision support system (DSS) to determining the student as scholarship recipients of the STMIK Pelita Nusantara, Medan, Indonesia, with the approach of Fuzzy Multi Attribute Decision Making (FMADM) with TOPSIS method. Approach to Fuzzy Multiple Attribute Decision Making (FMADM) by specifying the values of the weights for each of the criteria or attributes and TOPSIS method for selecting student scholarship recipients. Implementation of a decision support system that can show the interaction of the user with the software application built using Visual Basic 2008 programming language. Conclusion the results obtained from the discussion shows that the approach with FMADM TOPSIS give final value calculation results ordered that can help decision makers determine the student deserves the scholarship. The existence of a decision support system that has been designed so the process of determining a student scholarship recipients more accurately, quickly, and accurately.

scholarly journals Sistem Pendukung Keputusan Dengan Simple Additive Weighting Dalam Pemilihan Calon Penerima Bantuan Rumah Tidak Layak Huni

2019 ◽  
Vol 10 (2) ◽  
pp. 110-119
Author(s):  
Sudin Saepudin ◽  
Dudih Gustian ◽  
Heri Firmansyah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting ◽  
The Right ◽  
The Village ◽  
The Town

Bantuan rumah tidak layak huni adalah salah satu program pemerintah untuk menekan angka kemiskinan di Indonesia, namun permasalahan yang ada bahwa proses yang selama ini dilakukan oleh pihak Kelurahan masih dilakukan secara subyektif dengan hanya mempertimbangkan hasil survey. Oleh karena itu, bagi pihak kelurahan diperlukan suatu sistem pendukung keputusan agar seleksi dapat dilakukan secara efisien secara sistemik.  Adanya metode Multiple Attribute Decission Making, menjawab semua permasalahan tersebut. Dari beberapa metode Multiple Attribute Decission Making, Simple Addictive Weighting dipilih untuk diterapkan kedalam sistem pendukung keputusan. Sistem pendukung keputusan dibuat menggunakan metode air terjun. Tujuan penelitian ini agar pihak kelurahan dapat menyalurkan bantuannya kepada yang berhak menerimanya, sehingga dengan adanya sistem pendukung keputusan berbasis web untuk memilih penerima bantuan perumahan sesuai dan objektif.  Penelitian ini memberikan hasil yang cukup akurat dimana proses penyaluran yang tepat sasaran dengan data yang diperoleh dari pihak kelurahan. Sistem yang dibuat cukup memnatu pihak kelurahan dengan nilai sekitar 73.6% yang diuji oleh 10 orang responden.   Kata Kunci: Rumah Tidak Layak Huni, Multiple Attribute Decission Making, Simple Addictive Weighting, Sistem Pendukung Keputusan.     Abstract The help of the home is not habitable is one of the government programs to suppress the poverty rate in Indonesia, but the problem exists that the process that was done by the village is still in subjectively Consider the survey results. Therefore, the town needs a decision support system so that the selection can be made by systemic efficiency. There is a method of Multiple Attribute Decision Making, answering all the problems. Of the multiple Attribute Decision-Making methods, Simple Addictive Weighting is chosen to be applied to the decision support system. The decision support system was made using a waterfall method. The purpose of this research is so that the village can distribute its help to the right to receive it, so it is expected by the Web-based decision support system to select the recipient of appropriate and objective housing assistance. This research provides entirely accurate results were the right distribution process targets with data obtained from the village. The system was made enough to inform the town with a value of about 73.6% tested by ten respondents.   Keywords: Unqualified Houses, Multiple Attribute Decision Making, MADM, Simple Additive Weighting, Decision Support Systems.

Decision Support System For Election Of Members Unit Patients Pamong Praja

2017 ◽  
Vol 1 (1) ◽  
pp. 21 ◽  
Author(s):  
Febri Haswan
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Summation Method ◽  
Weighting Method ◽  
Multiple Attribute ◽  
Municipal Police ◽  
Simple Additive Weighting

Civil Service Police Unit (municipal police) is part of the area in the enforcement of legislation and arrangements for public order and public tranquility . Decision Support System or DSS ( Decision Support System ) is a computer -based information systems whose main goal is to help decision -making utilize data and models to solve the problems that are unstructured and semi- structured . In accepting prospective members of the previous municipal police PSDM section sorting and selecting applicants one by one entering the data so that the data obtained is not clear didapt results of each participant. By using Fuzzy Multiple Attribute Decision Making (FMADM) is used to find an alternative from a number of alternatives to optimize certain criteria , while the Simple Additive Weighting method (SAW). SAW method is often also known term weighted summation method . The basic concept is to find a method SAW weighted summation of the performance ratings of all the attributes of each alternative.

scholarly journals Sistem Pendukung Keputusan Pemilihan Sepeda Motor Bebek Dengan Metode Simple Additive Weighting

2019 ◽  
Vol 4 (2) ◽  
pp. 74-81
Author(s):  
Sandi Ramadhan ◽  
Lia Mazia ◽  
Endang Pujiastuti
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Problem Solving ◽  
Decision Support System ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Efficient Design ◽  
Multiple Attribute ◽  
Fuzzy Madm ◽  
Simple Additive Weighting

Abstract - Motorcycle is a transportation with the most fans. Various types of motorcycle is used more, one of the motorcycle cub/moped. The underbone is one that is a favorite of the riders, especially men's riders. Some motor manufacturers such as Yamaha and Honda produces underbone, with a range of offerings and offered advantages from each manufacturer. It turned out to be one more attention from consumers, they started trouble choosing which underbone that best fits their criteria. In this case, the criteria taken into consideration, including the price, the use of fuel efficient, design body, and the dimensions of the motor frame. This needs to of a Decision Support System that could helped give any information and recommendations on underbone in accordance with criteria consumers. In the development of a decision support system there is one of the models that are commonly used, namely Fuzzy MADM (Multiple Attribute Decision Making). In this research will use one method problem solving of the model , that is simple additive weighting. This method was chosen because it can determine the best alternative of some alternatives so that in accordance with the criteria referred to. In this research will be carried out the calculation of the weighted alternative that will produce the best alternative, namely the underbone elected that could be a recommendation. Keywords: Motorcycle Duck, Decision Support System, FMADM, SAW

Comparison Analysis of TOPSIS and Fuzzy Logic Methods On Fertilizer Selection

2018 ◽  
Vol 7 (2.3) ◽  
pp. 109 ◽  
Author(s):  
Asmara Indahingwati ◽  
Muh Barid Nizarudin Wajdi ◽  
Dwi Ermayanti Susilo ◽  
Nuning Kurniasih ◽  
Robbi Rahim
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multiple Criteria Decision Making ◽  
Fruit Trees ◽  
Chemical Fertilizer ◽  
Interactive System ◽  
Topsis Method

Decision Support System is an interactive system that supports decision in the decision-making process through alternatives derived from the processing of data, information and design of the models. Selection decision support system of chemical fertilizer in fruit plant is expected to help anyone who wants to cultivate fruit trees can determine the chemical fertilizer as expected based alternatives and criteria set by the user. In this research method used is TOPSIS Method and Method of Fuzzy Logic. TOPSIS method is one of multiple criteria decision making method that uses the principle that the alternatives selected must have the shortest distance. Fuzzy Logic is a methodology of control systems troubleshooting, the fuzzy logic stated that everything is a binary which means it is only two possibilities, "Yes or No", "True or False", "Good or Bad", and others. Therefore, all of these can have a membership value of 0 or 1.  

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 Aplikasi Decision Support System (DSS) dengan Metode Fuzzy Multiple Attribute Decission Making (FMADM) Studi Kasus : AMIK Indonesia Dan STMIK Indonesia

2018 ◽  
Vol 2 (1) ◽  
pp. 57
Author(s):  
Mukhtar Mukhtar ◽  
Munawir Munawir
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Programming Languages ◽  
Support System ◽  
Black Box ◽  
Weighted Sums ◽  
Multiple Attribute ◽  
Simple Additive Weighting ◽  
Banda Aceh

a b s t r a c t Educational institutions such as AMIK Indonesia and STMIK Indonesia often require a form of the decision in determining academic judgment on the elements of tri dharma; teaching, research, community service and supporting elements that are appropriate for academics so that good quality education is achieved in accordance with the assessment. A decision is a matter that is very influential in the process of facing the chosen alternative, so also choosing the academic quality that has an impact on the focus of accreditation of higher education institutions. The model used in this decision support system is Fuzzy Mutual Attribute Decision Making (FMADM) and the method used is Simple Additive Weighting (SAW), which is looking for weighted sums of performance ratings on each alternative on all attributes. The purpose of this study is to design a system of academic judgment decision support with Fuzzy Mutual Attribute Decision Making (FMADM) systems with Simple Additive Weighting (SAW) Method, to obtain more accurate results in an academic assessment of AMIK Indonesia and STMIK Indonesian tri dharma elements so that they can improve the quality of universities. Broadly speaking, this study uses data collection methods through literature studies, interviews and direct observation to AMIK Indonesia and STMIK Indonesia Banda Aceh. While the research design uses experimental because it produces a product that is a decision support system. The method used to support this research is the FMADM method using the SAW method calculation. Supporting applications that will be created with the author using web-based programming languages such as; HTML, CSS, Jquery, JSON and MySQL databases with Windows operating systems. On running analysis and system design that will be created the author is described by Microsoft Visio 2016. The method used to evaluate the system is the black box method where the black box testing focuses on system functions. a b s t r a k Institusi pendidikan seperti AMIK Indonesia dan STMIK Indonesia kerap kali membutuhkan suatu bentuk keputusan dalam menentukan penilaian akademik pada unsur tridharma; pendidikan pengajaran, penelitian, pengabdian dan unsur penunjang yang sesuai untuk akademik sehingga tercapai mutu pendidikan yang baik sesuai dengan penilaian tersebut. Keputusan merupakan suatu hal yang sangat berpengaruh dalam proses menghadapi alternatif yang dipilih, begitu juga memilih mutu akademik yang berdampak pada fokus akreditasi institusi perguruan tinggi. Model yang digunakan dalam sistem pendukung keputusan ini adalah Fuzzy Mutiple Attribute Decision Making (FMADM) serta metode yang digunakan adalah Simple Additive Weighting (SAW) yaitu mencari penjumlahan terbobot dari rating kinerja pada setiap alternative pada semua atribut. Tujuan penelitian ini adalah merancang sistem pendukung keputusan penilaian akademik dengan sistem Fuzzy Mutiple Attribute Decision Making (FMADM) dengan Metode Simple Additive Weighting (SAW), untuk mendapatkan hasil yang lebih akurat, dalam penilaian akademik unsur tridharma perguruan tinggi AMIK Indonesia dan STMIK Indonesia sehingga dapat meningkatkan mutu Perguruan Tinggi. Secara garis besar penelitian ini menggunakan metode pengumpulan data melalui studi literatur, wawancara dan observasi langsung ke AMIK Indonesia dan STMIK Indonesia Banda Aceh. Sedangkan desain penelitian menggunakan eksperimental karena menghasilkan sebuah produk yaitu sistem pendukung keputusan. Metode yang digunakan untuk mendukung penelitian ini adalah metode FMADM menggunakan perhitungan metode SAW. Pendukung aplikasi yang akan dibuat dengan penulis menggunakan bahasa pemrograman berbasis web seperti; HTML, CSS, Jquery, JSON dan database MySQL dengan system operasi Windows. Pada Analisa berjalan dan perancangan sistem yang akan dibuat penulis digambarkan dengan Microsoft Visio 2016. Metode yang digunakan untuk mengevaluasi sistem adalah metode blackbox dimana pengujian blackbox ini menitikberatkan pada fungsi sistem.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PERGURUAN TINGGI SWASTA MENGGUNAKAN TOPSIS

2019 ◽  
Vol 1 (2) ◽  
pp. 25-34
Author(s):  
Tati Mardiana ◽  
Siska Selvia Tanjung
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Private Colleges ◽  
Multiple Attribute Decision Making ◽  
Private College ◽  
Functional Requirements ◽  
Multiple Attribute ◽  
Order Preference ◽  
The Right

Choosing the right college is a crucial step for students in preparing for their careers and future. With education at the college, the student increases their chances of getting better jobs. But because of the limited capacity of public college, students and parents must select a private college that agrees with desires and abilities. Errors in choosing a college result in students experiencing failure in carrying out education in the college. Therefore, students and parents need to consider several factors such as accreditation status, costs, the number of students, lecturers, facilities, study programs, and others to select a private college. Nevertheless, students and parents experience confusion in choosing a private college. This is due to many private colleges and the lack of information about these private colleges. Therefore, the aim of this study is to build a decision support system to select a private college that matches the desires and abilities of students and parents. This study uses Fuzzy Multiple Attribute Decision Making (FMADM) logic with the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to rank each alternative private college. The test results showed that the system performance meets functional requirements and the perform system achieved an accuracy of 83,33%. This decision support system helps students and parents make decisions to select a private college that according to their desires and abilities accurately.  

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