scholarly journals Sistem Pendukung Keputusan Penentuan Alternatif Produk Terbaik dengan Metode Elemination Et Choix Traduisant Realita ( Electre )

2018 ◽  
Vol 6 (1) ◽  
pp. 84-95
Author(s):  
Elmi Rahmawati ◽  
Novi Herpina
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Programming Languages ◽  
Support System ◽  
Product Selection ◽  
The Public ◽  
The People ◽  
Electre Method ◽  
Short Time ◽  
Alternative Decision

Choosing and determining the most appropriate product is one way that people can do to maintain health. Inappropriate product selection can actually cause great harm to people. Along with the development and advancement of technology, then a reliable system is needed to support public health. To facilitate the public in selecting and determining the best product, then needed a decision support system in determining the best product alternative for helath. This research aims to develop an alternative decision support system of the best product with Electre method. The use of Electre method supported by PHP and MySQL programming languages can improve the efficiency in determining the best product in a short time, and quality. especially for Bana Supermaket store owner who will sell their products to the public. In addition, the implementation of decision support system with Electre method can facilitate the people, especially for store owner Bana Supermaket in choosing and determining the best product to be traded.

Sistem Pendukung Keputusan SNMPTN Jalur Undangan Dengan Metode Electre

2018 ◽  
Vol 3 ◽  
pp. 14
Author(s):  
Lidia K Simanjuntak ◽  
Tessa Y M Sihite ◽  
Mesran Mesran ◽  
Nuning Kurniasih ◽  
Yuhandri Yuhandri
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Action Selection ◽  
Multi Criteria Decision Making ◽  
Prospective Students ◽  
College Entrance ◽  
Electre Method ◽  
Selection Of

All colleges each year organize the selection of new admissions. Acceptance of prospective students in universities as education providers is done by selecting prospective students based on achievement in school and college entrance selection. To select the best student candidates based on predetermined criteria, then use Multi-Criteria Decision Making (MCDM) or commonly called decision support system. One method in MCDM is the Elimination Et Choix Traduisant la Reality (ELECTRE). The ELECTRE method is the best method of action selection. The ELECTRE method to obtain the best alternative by eliminating alternative that do not fit the criteria and can be applied to the decision SNMPTN invitation path.

scholarly journals Best Customer Selection Decision Support System With Elimination And Choise Translation Reality (Electre) Method

2020 ◽  
Vol 2 (1) ◽  
pp. 158-166
Author(s):  
Martinus Giawa ◽  
Paska Marto Hasugian
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Pairwise Comparison ◽  
Electre Method ◽  
Selection Decision

Currently, many companies still use manual in doing any one of them is an office job CV. Independent cooperative. Based on the results of research on the CV. Koperasi Mandiri to determine the best customer still does not have a conventional and special methods and are less effective. Based on the results of this research make customer Election Decision Support System Best with ELECTRE method. Where the method ELECTRE perform testing based on criteria sort by value and ranking obtained using pairwise comparison of alternatives based on any appropriate criteria.

scholarly journals Implementasi Metode Electre Dalam Penentuan Karyawan Berprestasi (Studi Kasus: PT. MEGARIMAS SENTOSA)

2018 ◽  
Vol 3 ◽  
pp. 32
Author(s):  
Mesran Mesran ◽  
Selpi Anita ◽  
Ronda Deli Sianturi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Human Resources ◽  
Support System ◽  
Decision Makers ◽  
Electre Method ◽  
The Right ◽  
Assessment Result ◽  
Selection Of

One of the important things that an employee must have is not separated from the performance of an employee. For the effectiveness of human resources work in the assessment of the right decision is needed. Therefore, the software is made that can take a decision to recommend employee achievement for PT. Megariamas Sentosa. The software is built on the basis of a decision support system that has the ability to select outstanding employees using the ELECTRE method. This Electre method has criteria that can determine alternative decisions in application in the software. So that decision makers can determine the selection of outstanding employees. The process in this Electre method compares employees with one employee to another and gives out put value of priority intensity in the form of the assessment result / criteria that has been specified by the company to the employee. The result of this process is recommended as an outstanding employee in PT. Megaria Mas Sentosa.

scholarly journals Penerapan Algoritma ELECTRE pada Pemilihan Cream Pelembab Berdasarkan Konsumen

2020 ◽  
Vol 4 (1) ◽  
pp. 229
Author(s):  
Agus Perdana Windarto ◽  
Wida Prima Mustika
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Consumer Choice ◽  
Facial Skin ◽  
Product Price ◽  
Customer Commitment ◽  
Consumer Ratings ◽  
Electre Method ◽  
Selection Of

The aim of the study is to recommend the selection of a moisturizing cream using a decision support system ranking technique seen from consumer ratings. This research was conducted in the city of Pematangsiantar. Data obtained by observation to several stores to ensure the availability of moisturizing cream, interviews and observations to 250 consumers who were randomly conducted when they made a transaction to purchase a moisturizing cream. In this case, this research needs to be done considering that moisturizer is a drug used to make facial skin feel moist because with skin that feels moist will make women avoid various problems such as blackheads and acne. Keeping facial skin moist and oil free is not an easy thing for users to do. In addition, the number of moisturizing cream products that are currently making many women confused in choosing a moisturizing cream. Therefore researchers used a Decision Support System (SPK) with the ELECTRE algorithm in recommending the selection of a moisturizing cream based on consumer ratings. In this case the researchers used several assessment criteria including: product price (C1), side effects of usage (C2), product quality (C3), customer commitment (C4), customer trust (C5) and usage reaction (C6). While the alternatives used include: Citra Hazeline (A1), Fair & Lovely (A2), Garnier (A3), Olay (A4), Sariayu (A5) and Wardah (A6). The results of the assessment using the ELECTRE method are Fair & Lovely (A2) and Wardah (A6) as the best moisturizing cream recommendations based on consumer choice

scholarly journals proses pengambilan keputusan

2019 ◽  
Author(s):  
vilda yulia putri ◽  
Hade Afriansyah ◽  
Rusdinal
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Maker ◽  
Support System ◽  
Design Tool ◽  
Electre Method ◽  
Alternative Solutions

Decision making is what people usually do when dealing with a problem which give people several alternative options. In doing alternative selection, the decision maker will do various consideration to select the available alternative options. Problems that occurs in decision making generated by various alternative options being offered. Further, each alternative has almost the same value to one another. That values that almost equal to one another caused the decision maker is difficult to determine which alternative should be chosen.Therefore, the writer design and build design tool for Decision Support System (DSS) using ELECTRE method. This system is expected to help people overcome various problems which related to decision making. This system is expected to be able to increase effectivity and efficiency for users in helping to provide alternative solutions that will be chosen later.

scholarly journals FUZZY INFERENCE SYTEM TSUKAMOTO UNTUK PENENTUAN PENERIMA JAMKESMAS DENGAN MICROSOFT VISUAL BASIC DAN MYSQL

JOUTICA ◽  
2017 ◽  
Vol 2 (1) ◽  
Author(s):  
M Ghofar Rahman
Keyword(s):  
Public Health ◽  
Health Insurance ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Fuzzy Inference ◽  
Public Health Insurance ◽  
Service Agency ◽  
The Public

The problem that existed in the health service agency in this case is the health center, namely the determination of the recipient of public health insurance (Jamkesmas), although in practice the determination of recipients Jamkesmas already using the computer, but only limited to the support and there is no system that can be used to support the retrieval Decisions based on existing variables. The decision support system for determining the members of Jamkesmas recipients, where the system is used to help determine the recipients of Jamkesmas to be provided in accordance with their respective groups to accelerate the work of determining the provision of Jamkesmas. The system can assist the puskesmas in determining the members of Jamkesmas beneficiaries in accordance with the appropriate class to the community who want to become the members of Jamkesmas beneficiaries at the Puskesmas. This decision support system using the Fuzzy Tsukamoto Method, which will provide a decision solution to the puskesmas in determining the members of the public health insurance (Jamkesmas).

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 UNTUK MENENTUKAN TINGKAT MINAT MASYARAKAT DALAM MEMILIH TANAMAN HIAS MENGGUNAKAN METODE SAW

2021 ◽  
Vol 4 (1) ◽  
pp. 199-205
Author(s):  
Anita Anita ◽  
Khairunisa Fitri
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Public Interest ◽  
Ornamental Plants ◽  
Office Buildings ◽  
Leaf Color ◽  
Addition Method ◽  
Aesthetic Value ◽  
The Public

Ornamental plants are plants that have aesthetic and aesthetic value, often used to decorate yards, gardens or rooms in homes, office buildings, hotels, restaurants. Like fashion, trends in ornamental plants come and go and people have tastes that tend to change. Ornamental plants such as Aglonema, Anthurium, Calathea, Monstera Adansoni, Sansevieria are currently the prima donna and in demand by the public. To assist in determining and knowing which ornamental plants are most in demand by the public, it is necessary to build a decision support system using the SAW method. The SAW method is a weighted addition method that has the ability to solve problems from several criteria, so that it will produce alternative ornamental plants based on their level of interest (the most desirable) more quickly and precisely. There are several criteria used in the decision support system to determine the level of public interest in choosing ornamental plants using the SAW method, namely the shape / type of leaf, leaf color, price and care.

scholarly journals Sistem Pendukung Keputusan untuk Menentukan Hasil Bisnis Pujasera Terbaik dimasa Pandemi Covid 19 dengan Metode Fuzzy Tahani dan Simple Additive Weighting (SAW) berbasis Website (Studi Kasus: Pujasera Hangout Salihara)

2020 ◽  
Vol 5 (1) ◽  
pp. 97
Author(s):  
Mohammad Aldinugroho Abdullah ◽  
Iskandar Fitri ◽  
Novi Dian Nathasia
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Business Sector ◽  
The Public ◽  
Degree Of Membership ◽  
Calculation Process ◽  
Fuzzy Database ◽  
Simple Additive Weighting ◽  
A Company

Pujasera Hangout Salihara is a company engaged in the business of serving food and beverages for the public. During the Covid 19 pandemic, there were many impacts, one of which was in the restaurant business sector. With the Fuzzy database method Tahani model and Simple Additive Weighting are used in determining the destination of the favorite food menu at the food court according to customer desires accurately, quickly, and easily understandable, helping the food court owner and tenant of the food court at the salihara hangout food court in providing food menu recommendations, the most popular drink menu and the highest and lowest rating of each food court in a week or a month. The method of Fuzzy database model Tahani and Simple Additive Weighting are applied in making a decision support system with stages determined by the researcher. The result of the Decision Support System is a system that can assist in making decisions that are carried out accurately and according to the desired goals. In applications that have been built, the results are based on the value of the degree of membership and the truth value of the calculation process in the application. Testing is done by means of the BlackBox testing.Keywords:Decision support system, Fuzzy database method, Tahani model, Simple Additive Weighting, Pujasera.

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