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.  

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.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN UNTUK MEMILIH USAHA WARALABA MAKANAN MENGGUNAKAN METODE TOPSIS

2013 ◽  
Vol 5 (2) ◽  
pp. 61-68
Author(s):  
Meri Azmi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Ideal Solution ◽  
Shortest Distance ◽  
Multiple Attribute ◽  
Order Preference ◽  
Negative Ideal Solution ◽  
Topsis Technique

Large number of franchises that will be selected as well as indicators of many criteria, it is necessary to build a decision support system that will help decide which franchise to choose. The model used in the decision support system is a Multiple Attribute Decision Making (MADM) and to perform calculations on the case MADM method in finding the best alternative based on the criteria specified use traditional methods TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) to perform the calculations. TOPSIS method is chosen as the method is based on the concept that the best alternative was chosen not only has the shortest distance from the positive ideal solution, but also has the longest distance from the negative ideal solution.

scholarly journals Decision Support System for Football Players Lineup Selection using Fuzzy Multiple Attribute Decision Making and K-Means Clustering Methods

2017 ◽  
Vol 5 (3) ◽  
pp. 106-109
Author(s):  
Aldi Nurzahputra ◽  
Afrizal Rizqi Pranata ◽  
Aji Puwinarko
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Football Players ◽  
Clustering Methods ◽  
Clustering Method ◽  
Multiple Attribute ◽  
Manchester City ◽  
Selection Of

In football, the selection of players line-up is based on their statistical performance. In this research, the line-up selection can implement the decision support system (DSS) with FMADM SAW method. The criteria were used are goal, assists, saves, clean sheets, yellow cards, red cards, games, and an own goal. Then, the assessment players performance is using K-Means Clustering. There are two clusters: cluster_cukup and cluster_baik. The system used Manchester City player data in Forward, Midfielder, Defender and Goal Keeper position. The purpose of this research is applying the FMADM and K-Means Clustering method to the system. Based on the results, the line-up selection can be processed by FMADM method and the performance assessed by K-Means Clustering method. By using the system, the selection and the assessment can be conducted and give the best decision for football coach objectively.

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 TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION UNTUK MEMILIH JURUSAN BAGI SISWA SMA BERDASARKAN KECERDASAN GANDA

2018 ◽  
Vol 1 (2) ◽  
pp. 107-113
Author(s):  
Moh. Ahsan ◽  
Devi Permatasari ◽  
Retno Marsitin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Harvard University ◽  
Howard Gardner ◽  
Ideal Solution ◽  
Multiple Attribute ◽  
Order Preference

Setiap manusia mempunyai lebih dari satu kecerdasan ganda, seperti logika-matematika, visual-spasial, interpersonal, intrapersonal, linguistik, musikal, naturalis, dan kinestestis (Howard Gardner dari Harvard University). Banyak cara, untuk melihat kecerdasan seseorang diantaranya melalui angka, musik, gambar, kata-kata, kegiatan fisik atau sosial-emosional. Banyak hasil riset mengenai kecerdasan siswa, mengharap kepada orang tua dan wali murid agar selalu memberikan banyak pengaraha, stimulasi dan pengalaman kepada siswa.Pendidikan menjadi point penting untuk orang tua dalam meningkatkan kecerdasan anaknya, dimana dalam lembaga pendidikan anak sebagai peserta didik atau siswa dapat diarahkan kepada bakat, minat dan potensi yang dimilikinya. Jika anak tidak tersentuh oleh dunia pendidikan maka potensi kecerdasan yang dimiliki seorang anak tidak akan berkembang dengan maksimal.Pemilihan jurusan sejak awal bisa mempermudah siswa dalam memilih bidang ilmu atau jurusan yang akan ditekuninya di akademik, sekolah tinggi atau di Universitas kelak yang tentunya akan mengarah kepada masa depan dan karirnya. Sejak diberlakukannya kurikulum 2013 dimana sistem peminatan sudah dimulai dan dilakukan dari kelas Sepuluh atau kelas satu. Hal ini tentunya membutuhkan peran guru Bimbingan Konseling (BK) untuk mengarahkan anak ke bakat, minat dan potensi akademiknya. Pilihan tersebut terdiri dari Ilmu Pengetahuan Alam (IPA), Ilmu Pengetahuan Sosial (IPS) , dan BAHASA (KEMEDIKBUD 2012).Technique for Order Preference by Similiarty to Ideal Solution (TOPSIS) adalah diantara salah satu metode yang didalam MADM (Multiple-Attribute Decesion Making) dan merupakan salah satu pemodelan decision support system (SPK) digunakan untuk pengambilan sebuah keputusan dalam menetapkan kriteria yang terbaik dari beberapa alternatif berdasarkan beberapa kriteria yang telah ditentukan sebelumnya.

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 Perbandingan Metode SAW, WP Dan Topsis Dalam Penentuan Pembiayaan

2019 ◽  
Vol 4 (2) ◽  
pp. 88-94
Author(s):  
Dede Supiyan
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ideal Solution ◽  
Weighting Method ◽  
Product Method ◽  
Order Preference ◽  
Simple Additive Weighting ◽  
The Right

Decision support system is the composition of a computer-based information system that functions as a supporter of decision making in an organization or company. Decision making in determining the provision of financing is very important because with the right decision the provision of financing can run well. Decision making method is useful for determining the best alternative from a number of other alternatives based on certain criteria, including the simple additive weighting method, Weighted Product and Technique For Order Preference by Similarity to Ideal Solution. A comparison of the methods of this decision support system is carried out to determine which method provides the highest accuracy value of the financing data for the El-Raushan BMT cooperative. Based on comparison of the SAW Method, Weighted Product and TOPSIS methods show that the Weighted Product method is more accurate than the simple additive weighting method Technique For Order Preference by Similarity to Ideal Solution. Judging from the value of the accuracy of the three methods with the highest accuracy WP (Weighted Product) method with an accuracy value of 94%.

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

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