Development of a Multi Criteria Decision Making Tool for a Water Resources Decision Support System

2015 ◽  
Vol 29 (15) ◽  
pp. 5713-5727 ◽  
Author(s):  
B. Asl Rousta ◽  
S. Araghinejad
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Water Resources ◽  
Decision Support System ◽  
Support System ◽  
Multi Criteria Decision Making ◽  
Decision Making Tool

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 Decision Support System with Multi Criteria Decision Making Technique

2021 ◽  
Vol 1933 (1) ◽  
pp. 012017
Author(s):  
Arman Jayady ◽  
Tonny Hidayat ◽  
Erni Qomariyah ◽  
BB Suriyani ◽  
Muh. Najib Husain ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multi Criteria Decision Making

scholarly journals DESAIN DSS (DECISION SUPPORT SYSTEM) MENGGUNAKAN METODE PROFILE MATCHING UNTUK PENENTUAN PENERIMA BEASISWA DI POLITEKNIK NEGERI SAMARINDA

2020 ◽  
Vol 2 (1) ◽  
pp. 10
Author(s):  
Muchamad Zainul Rohman
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Selection Process ◽  
Decision Making Process ◽  
Multi Criteria Decision Making ◽  
Profile Matching ◽  
To Receive

The scholarship selection process of Politeknik Negeri Samarinda are constraints on the decision-making process. This is because there is no objective method to determine quickly and precisely. To assist in the determination of the set someone worthy scholarship in this study will be design DSS (Decision Support System) with model of Multi-Criteria Decision Making. The method used is the method Profile Matching. Profile Matching methods have been able to select the best alternative from a number of alternatives, in this case meant that alternatives are eligible to receive scholarships based on the criteria specified. Research carried out by finding the weights for each sub-aspect, then carried ranking process that will determine the optimal alternative, the best students will be considered by decisionmakersto get a scholarship. Proses seleksi beasiswa di Politeknik Negeri Samarinda banyak terdapat kendala pada proses pengambilan keputusan. Hal ini dikarenakan belum ada metode objektif yang dapat memutuskan dengan cepat dan tepat. Untuk membantu penentuan dalam menetapkan seseorang yang layak menerima beasiswa maka dalam penelitian ini akan didesainkan DSS (Decision Support System) dengan model Multi Criteria Decision Making. Metode yang digunakan adalah metode Profile Matching. Metode Profile Matching dipilih karena mampu menyeleksi alternatif terbaik dari sejumlah alternatif, dalam hal ini alternatif yang dimaksudkan yaitu yang berhak menerima beasiswa berdasarkan kriteria-kriteria yang ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap sub aspek, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu mahasiswa terbaik yang akan dipertimbangkan oleh pengambil keputusan untuk mendapatkan beasiswa.

scholarly journals Penentuan Jenis Kelinci Pedaging Terbaik Dengan Menggunakan Metode Fuzzy Muti Criteria Decision Making

JURTEKSI ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 57-64
Author(s):  
Adi Prijuna Lubis
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multi Criteria Decision Making ◽  
Public Demand

Abstract: This decision support system is an alternative to helping rabbit breeders to determine which broiler rabbit is feasible to develop. Along with the increasing public demand for rabbit production. Rabbit breeders are eager to choose the type of rabbit that really qualified and can grow fast. For that decision support system is helping the farmers to choose the type of quality broiler rabbit or feasible to be developed. To facilitate rabbit breeders in developing rabbit prodution in determining the best types of broiler rabbit and To get more accurate results in the process of determining the types of broiler rabbits. Also Applying Decision Support System with Fuzzy Multi Criteria Decision Making method can simplify and accelerate to determine the best types of broiler rabbit to be developed Keywords: broiler rabbit, fuzzy multi criteria decision making Abstrak: Sistem Pendukung keputusan ini merupakan alternatif untuk membantu peternak kelinci untuk menentukan kelinci pedaging yang layak untuk di kembangkan. Seiring dengan meningkatnya permintaan masyarakat akan produksi kelinci. Peternak kelinci berkeinginan untuk memilih jenis kelinci yang benar benar berkualitas dan dapat berkembang cepat. Untuk itu sistem pendukung keputusan ini membantu pihak peternak untuk memilih jenis kelinci pedaging yang berkualitas atau layak untuk di kembangkan. Untuk memudahkan pihak peternak kelinci dalam mengembangkan produsi kelinci dalam menentukan jenis kelinci pedaging terbaik dan Untuk mendapatkan hasil yang lebih akurat dalam proses penentuan jenis kelinci pedaging. Juga Menerapkan Sistem pendukung keputusan dengan metode Fuzzy Multi Criteria Decision Making dapat mempermudah dan mempercepat untuk menentukan jenis kelinci pedaging terbaik untuk dikembangkan. Kata kunci: kelinci pedaging, fuzzy multi criteria decision making

scholarly journals VIKOR multi-criteria decision making with AHP reliable weighting for article acceptance recommendation

2019 ◽  
Vol 5 (2) ◽  
pp. 160 ◽  
Author(s):  
Aji Prasetya Wibawa ◽  
Juwita Annisa Fauzi ◽  
Seno Isbiyantoro ◽  
Rahmat Irsyada ◽  
Dhaniyar Dhaniyar ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Scientific Article ◽  
Multi Criteria Decision Making

DSS is built to support the solution recommendation of a problem. AHP and VIKOR are examples of DSS method. Due to VIKOR’s subjective weighting, this study combines the AHP and VIKOR approach to create a better and more reliable decision support system. The DSS is used to recommend article acceptance using five criteria: originality, quality, clarity, significance, and relevance. The results showed that AHP-VIKOR outperforms the performance of VIKOR. AHP weighting reliably replaces the subjective VIKOR’s initial weighting. The AHP-VIKOR result is more accurate and steadier than VIKOR. Thus, AHP-VIKOR can be presented as a proposed approach for creating a recommendation of scientific article acceptance.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN BUAH PISANG YANG PALING DIMINATI

JURTEKSI ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 277-284
Author(s):  
Irianto Irianto ◽  
Sudarmin Sudarmin
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multi Criteria Decision Making ◽  
Banana Plant ◽  
The People ◽  
Total Integral

Abstract: as an agrarian country Indonesia has a variety of plants that can produce many different kinds of fruit from farmers, especially on average in each region has farmers who have crops that are suitable and in accordance with the conditions of their respective regions. Banana is one of the most consumed fruits by the people. The banana plant farmers basically have a way to determine their own characteristics or character to determine the good or good fruit and suitable for consumption. Many farmers or fruit enthusiasts often find it difficult to determine the best fruit on bananas, with an alternative available decision support system with the FMCDM method to choose the best fruit from bananas. Fuzzy Multi Criteria Decision Making (FMCDM) is a decision making method that aims to determine the best alternative decisions from a number of alternatives based on certain criteria that will be taken into consideration. From the results of calculations using the above software, the results obtained are alternative (A3) obtaining the largest total integral value compared to other alternatives. Keywords: Banana; decision support system; fuzzy multi criteria decision making Abstrak: sebagai negara agraris Indonesia mempunyai ragam tanaman yang dapat menghasilkan banyak bermacam buah hasil petani, terlebih rata rata di setiap daerah mempunyai petani yang mempunyai tanaman yang cocok dan sesuai dengan kondisi daerah masing masing. Pisang merupakan salah buah yang paling banyak di konsumsi oleh masyarakat. Adapun petani tanaman buah pisang pada dasarnya mempunyai cara untuk menentukan ciri-ciri tersendiri atau karakter untuk menentukan buah bagus atau baik dan layak untuk dikonsumsi. Banyak kadang petani atau peminat buah  susah menentukan buah yang terbaik pada buah pisang, dengan adanya alternatif yang ada  sistem pendukung keputusan dengan metode FMCDM untuk memilih buah terbaik dari buah pisang. Fuzzy Multi Criteria Decision Making (FMCDM) adalah suatu metode pengambilan keputusan yang bertujuan untuk menetapkan alternatif keputusan terbaik dari sejumlah alternatif berdasarkan beberapa kriteria tertentu yang akan menjadi bahan pertimbangan. Dari hasil perhitungan menggunakan software di atas, diperoleh hasil yaitu alternatif (A3) memperoleh nilai total integral terbesar dibandingkan denganalternatif-alternatif yang lain. Kata Kunci : Buah Pisang; Fuzzy Multi Criteria Decision Making; sistem penunjang keputusan

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN TINTER KACA FILM TERBAIK MENGGUNAKAN METODE ARAS (STUDI KASUS: PT. DEGREE THE AMBASSADOR)

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Ayulia Sari ◽  
Nelly Astuti Hasibuan ◽  
Imam Saputra
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Multi Criteria Decision Making ◽  
Window Film ◽  
Selection Of

Tinter is the person in charge of installing window film on building windows or car windows. A tinter must have some specific criteria set by the company. To increase motivation and quality of a tinter's work, the company routinely holds the selection of the best tinter each year. However, the selection of the best tinter made at this time is still not completely in accordance with the specified criteria and in the end the selection is based on the assessment of the company's leadership. It is feared that it will cause divisions between tinter who feel that the selection is unfair or not objective and does not conform to procedures. For this reason, a decision support system is needed for the selection of the best tinter. Decision support system used is to use the Additive Ratio Assessment (ARAS) method because this method is a multi criteria decision making method based on the ranking concept.Keywords : Tinter, System, Decision, SPK, Additive Ratio Assessment, ARAS

The Decision Support System of College Training

2012 ◽  
Vol 546-547 ◽  
pp. 1387-1392
Author(s):  
Chun Hua Zhou ◽  
Chu Xiang Chen ◽  
Yun Cheng Wang ◽  
Shi Jun Yao
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Support System ◽  
Key Factors ◽  
College Training ◽  
Analytical Processing ◽  
Set Up ◽  
Decision Making Tool

According to the characteristics of college training and requirements of the society for talents, the decision support system of college training is designed in this paper. Targeted at graduates’ employment, a data warehouse for college students is set up and online analytical processing and data mining are conducted so as to find out the key factors that affect graduates to find a job. The experimental results are in line with the reality, which shows that decision support system of college training is a powerful auxiliary decision-making tool.

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