Penerapan Metode SAW dan Fuzzy Dalam Sistem Pendukung Keputusan Penerimaan Beasiswa

Helilintar, Risa; Winarno, Wing Wahyu; Fatta, Hanif Al

doi:10.24076/citec.2016v3i2.68

Cited by 19 publications

(16 citation statements)

References 1 publication

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“…Tahani describing a query processing method based on a fuzzy with the manipulation of language known as SQL. Fuzzy database models tahani is made up of stages, [6]:…”

Section: Fuzzy Database Model Tahani Methodsmentioning

confidence: 99%

Design and Analysis of Decision Support Information System to Determine the Priority of Selecting Natural Disaster Barrack Policies With the Fuzzy Simple Additive Weighting Method

Riza

2019

JAREE

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The lack of a disaster information system nowadays has made it difficult to find out information in the disaster area. Making information systems in disaster areas is important to solve the problem of uneven distribution of aid provided at each barrack. Because the conditions of each barrack are different, a system is needed to determine the priority for selecting disaster. To be able to determine the recommendations for the selection of disaster barracks, this study uses the Fuzzy Simple Additive Weighting (Fuzzy SAW) method, uses fuzzy method to determine the input basis value to SAW [3]. With the implementation of the Fuzzy SAW method, the results of this study can provide recommendations for Badan Penangguangan Bencan Daerah (BPBD) of Malang to determine the priority of disaster barracks that can take precedence.

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“…Tahani describing a query processing method based on a fuzzy with the manipulation of language known as SQL. Fuzzy database models tahani is made up of stages, [6]:…”

Section: Fuzzy Database Model Tahani Methodsmentioning

confidence: 99%

Design and Analysis of Decision Support Information System to Determine the Priority of Selecting Natural Disaster Barrack Policies With the Fuzzy Simple Additive Weighting Method

Riza

2019

JAREE

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“…The basic concept of the SAW method is to find the weighted sum of performance ratings on each alternative on all attributes. The SAW method requires the process of normalizing the decision matrix (X) to a scale comparable to all existing alternative ratings [8]. Simple Additive Weighting (SAW), also known as the weighted and simple weighted scoring method most commonly used for multiple decision attribute (MADM) tools [9].…”

Section: Methods 21 Sawmentioning

confidence: 99%

Comparison Between SAW and TOPSIS Methods in Selection of Broiler Chicken Meat Quality

Adi

Sugiharti

Alamsyah

2018

SJI

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Decision support system is a system that can assist semi-structured and unstructured decision making, in which no one knows exactly how decisions should be made. Broiler Chicken farm production is growing very rapidly along with the increasing market demand for Broiler Chicken. Broiler Chickens have fast growth in a relatively short time. The purpose of this research is the selection of chicken meat quality by applying comparison of SAW and TOPSIS method. The variables used are age, ration conversion, weight of chicken weight, and water consumption. The system is created using PHP framework Code Ignitier and database MySQL using waterfall method. That is analyze the user needs on the system, do the database design, by doing a coding and testing the system whether it is what is expected. The result of this research is the application of comparison between SAW and TOPSIS method each consist of 5 criteria. Comparison of these algorithms can facilitate the breeders in choosing a good quality broiler chicken meat.The results of the best farmer recommendation according to comparative method of SAW and TOPSIS. In SAW method of breeder 1 The biggest value is at V2 = 0,341, so alternative A2 is alternatives chosen as good alternative. Breeder 2 The biggest value is at V3 = 0.033, so alternative A3 is the alternative chosen as a good enough alternative. Breeder 3 The biggest value is at V1 = 0.005, so alternative A1 is the alternative chosen as an excellent alternative. Topsis Method of Breeders 1 is the largest value at V2 = 9.98, so alternative A2 is the alternative chosen as a good alternative. Breeder 2 is the biggest value at V3 = 0.372, so alternative A3 is the alternative chosen as a good enough alternative. Breeder 3 is the biggest value at V3 = 0.982, so alternative A3 is the alternative chosen as a good enough alternative. This system uses only 5 criteria, it would be nice if you add other criteria that support the selection of broiler chicken meat quality.

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“…Hasil yang diberikan dari sistem pendukung keputusan ini akan memberikan sebuah nama yang layak menjadi penerima beasiswa tersebut [11]. Penerapan pada metode SAW dapat juga dikombinasikan dengan metode Fuzzy [12]. Implementasi pada metode fuzzy ini digunakan pada saat melakukan input pada sistem.…”

Section: Pendahuluanunclassified

Sistem Pendukung Keputusan Pemilihan Cafe di Yogyakarta dengan Menggunakan Metode Simple Additive Weighting (SAW)

Alvianto

Saifullah

2020

jinita

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Perkembangan bisnis kuliner di indonesia berkembang dengan sangat cepat, salah satunya bisnis minuman kopi racikan atau yang biasa disebut dengan café. Bisnis ini berkembang sangat cepat dan banyaknya varian kopi racikan yang ada di indonesia, salah satunya berada di Yogyakarta. Banyaknya café yang buka di Yogyakarta berdampak pada kebingungannya para pelajar untuk memilik rekomendasi mana yang paling nyaman untuk digunakan para pelajar untuk digunakan sebagai tempat diskusi atau tempat belajar. Selain itu biasanya para pendatang terutama pelajar yang baru saja datang di Yogyakarta akan berkeliling kota untuk mencari tempat-tempat yang nyaman digunakan untuk melepas lelah. Pada penelitian ini, melakukan wawancara dengan 10 responden, hasil tersebut diolah dan diporses dengan menggunakan metode Simple Additive Weighting (SAW). SAW merupakan salah satu metode yang digunakan dalam mengambil keputusan. Metode ini digunakan untuk menentukan rekomendasi café terbaik yang berada di Yogyakarta. Rekomendasi café ini diharapkan sesuai dengan yang dicari oleh pelajar dengan memperhatikan fasilitas café, lokasi café, dan kisaran harga yang ditawarkan. Hasil perhitungan metode SAW dalam rekomendasi cafe di Yogyakarta adalah Cafe B dengan hasil 9,4 yang merupakan nilai tertinggi. Berdasarkan hasil perhitungan tersebut dan analisisnya, fasilitas yang disediakan café merupakan daya tarik yang paling utama bagi pengunjung. Selain itu, penggunaan metode SAW juga dapat memberikan rekomendasi café terbaik sebagai rekomendasi awal untuk pelajar pendatang di Yogyakarta.

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Penerapan Metode SAW dan Fuzzy Dalam Sistem Pendukung Keputusan Penerimaan Beasiswa

Cited by 19 publications

References 1 publication

Design and Analysis of Decision Support Information System to Determine the Priority of Selecting Natural Disaster Barrack Policies With the Fuzzy Simple Additive Weighting Method

Design and Analysis of Decision Support Information System to Determine the Priority of Selecting Natural Disaster Barrack Policies With the Fuzzy Simple Additive Weighting Method

Comparison Between SAW and TOPSIS Methods in Selection of Broiler Chicken Meat Quality

Sistem Pendukung Keputusan Pemilihan Cafe di Yogyakarta dengan Menggunakan Metode Simple Additive Weighting (SAW)

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