SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN DOSEN BERPRESTASI DI LINGKUNGAN FAKULTAS TARBIYAH DAN KEGURUAN MENGGUNAKAN FUZZY MULTIPLE ATTRIBUT DECISION MAKING (FMADM)

2019 ◽  
Vol 2 (2) ◽  
pp. 33-44
Author(s):  
Helpi Nopriandi ◽  
Nofri Wandi Al Hafiz
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Berdasarkan Penelitian di Fakultas Tarbiyah dan Keguruan Universitas Islam Kuantan Singingi alur penyelesian dosen berprestasi masih dilakukan secara manual seperti melakukan pencatatan pengajaran, Status Dosen Penelitian,Pengabdian Kepada Masyarakat dan melaksanakan Catur Dharma perguruan tinggi. Dosen merupakan tenaga pengajar yang diangkat oleh pemerintah maupun oleh yayasan di mana dosen itu mengabdi. Decision Support Systems atau lebih dikenal dengan Sistem Pendukung Keputusan adalah bagian dari sebuah sistem informasi yang berbasis komputer termasuk sistem yang berbasis ilmu pengetahuan dan dipakai untuk mendukung pengambil  keputusan dalam suatu organisasi atau perusahaan. untuk memudahkan pimpinan dalam mengambil sebuah keputusan dibuatlah suatu sistem pengambil keputusan dengan menggunakan Fuzzy Multiple Attribute Decision Making  (FMADM) digunakan untuk mencari alternatif optimalkan dari sejumlah alternatif dengan kriteria tertentu, sedangkan metode Simple Additive Weighting (SAW). Metode SAW sering juga dikenal istilah metode penjumlahan terbobot. Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif dari semua atribut. Hal ini berguna untuk memudahkan pengambil keputusan yang terkait dengan masalah pemilihan dosen berprestasi, sehingga akan di dapatkan dosen yang paling layak diberi reward atau penghargaan.

PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING DALAM PENETAPAN TENAGA KEPENDIDIKAN BERPRESTASI

2018 ◽  
Vol 1 (2) ◽  
pp. 45-54
Author(s):  
Helpi Nopriandi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Tenaga Kependidikan merupakan anggota masyarakat yang mengabdikan diri dan diangkat untuk menunjang penyelenggaraan pendidikan. Decision Support Systems atau lebih dikenal dengan Sistem Pendukung Keputusan adalah bagian dari sebuah sistem informasi yang berbasis komputer termasuk sistem yang berbasis ilmu pengetahuan dan dipakai untuk mendukung pengambil  keputusan dalam suatu organisasi atau perusahaan. untuk memudahkan pimpinan dalam mengambil sebuah keputusan dibuatlah suatu sistem pengambil keputusan dengan menggunakan Fuzzy Multiple Attribute Decision Making  (FMADM) digunakan untuk mencari alternatif optimalkan dari sejumlah alternatif dengan kriteria tertentu, sedangkan metode Simple Additive Weighting (SAW). Metode SAW sering juga dikenal istilah metode penjumlahan terbobot. Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif dari semua atribut.

FUZZY MULTIPLE ATTRIBUTE DECISION MAKING IN HOTEL SELECTION

2019 ◽  
Vol 2 (2) ◽  
pp. 67
Author(s):  
Rima Aprilia
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Theoretical Basis ◽  
Support Systems ◽  
Multiple Attribute Decision Making ◽  
The Third ◽  
Multiple Attribute ◽  
Selection Of

<em>As the third largest city in Indonesia, Medan has become one of the cities visited by many tourists, so many hotels have sprung up, from just guest houses to star hotels with various facilities provided. In the selection of hotels to stay, Fuzzy Multiple Attribute Decision Making is expected to provide the best solution in these problems. So that when tourists come to Medan, they can choose the best hotel that suits their needs. The output of this study, the collection of relevant references to the formulation of the problem. The aim is to strengthen the problem and as a theoretical basis for conducting the study and also become the basis for designing decision support systems</em>

scholarly journals FUZZY MULTIPLE ATTRIBUTE DECISION MAKING IN HOTEL SELECTION

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Rima Aprilia
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Theoretical Basis ◽  
Support Systems ◽  
Multiple Attribute Decision Making ◽  
The Third ◽  
Multiple Attribute ◽  
Selection Of

<em>As the third largest city in Indonesia, Medan has become one of the cities visited by many tourists, so many hotels have sprung up, from just guest houses to star hotels with various facilities provided. In the selection of hotels to stay, Fuzzy Multiple Attribute Decision Making is expected to provide the best solution in these problems. So that when tourists come to Medan, they can choose the best hotel that suits their needs. The output of this study, the collection of relevant references to the formulation of the problem. The aim is to strengthen the problem and as a theoretical basis for conducting the study and also become the basis for designing decision support systems</em>

scholarly journals Pemilihan Guru Berprestasi Menggunakan DSS (Decision Support System) Dengan Metode FMADM (Fuzzy Multiple Attribute Decission Making) Dan SAW (Simple Additive Weighting)

2018 ◽  
Vol 10 (1) ◽  
pp. 62
Author(s):  
Suryati Suryati ◽  
Zuraidah Jauhari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Sistem pendukung keputusan (decision support systems) merupakan bagian dari sistem informasi berbasis komputer termasuk sistem berbasis pengetahuan/manajemen pengetahuan yang dipakai untuk mendukung pengambilan keputusan dalam suatu organisasi atau perusahaan. Guru adalah faktor pendidik yang paling penting dalam sebuah lembaga kependidikan. Dengan harapan seorang guru tidak hanya mengajar namun juga dapat memberikan pendidikan serta prestasi yang membanggakan bagi dirinya, siswa dan lembaga. Lembaga akan memberikan penghargaan atau reward pada guru yang berhasil tersebut. Kendalanya adalah lamanya waktu untuk menyeleksi guru-guru yang dianggap berprestasi. Berdasarkan permasalahan tersebut, maka perlu dikembangkan adanya sebuah perangkat lunak agar bisa melakukan tugas–tugas secara mandiri sehingga dapat meminimalisir terjadinya kesalahan data maupun mempercepat proses penyeleksian guru berprestasi. Metode yang digunakan adalah FMADM (FuzzyMultiple AtributDecision Making) dan SAW (Simple Additive Weighting). Penelitian ini membahas mengenai pengkajian, analisis dan pengembangan sebuah sistem penunjang keputusan menggunakan pencocokan profil yang bersifat mandiri supaya bisa membantu institusi atau lembaga untuk memberikan reward sebagai penghargaan atas prestasi dari guru pada institusi atau lembaga bersangkutan.

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 Implementation Of The SAW Method For Selection Of Best Operational Vehicles

2020 ◽  
Vol 4 (1) ◽  
pp. 67-75
Author(s):  
Irmawati Carolina ◽  
Fitra Hariman Hakim ◽  
Adi Supriyatna
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Complex Problem ◽  
Alternative Form ◽  
Simple Additive Weighting ◽  
Selection Of

Operational Vehicle is one of the assets owned by the company to help transportation that aims to facilitate the carrying out of a job. With the existence of operational vehicles can increase company productivity. The problems that exist in the process of selecting the best operational vehicles are still simple or depend on the company's budget. The purpose of this study is to obtain a decision in determining the selection of operational vehicles using several criteria and can provide solutions to determine the best choice of operational vehicles for company management. The method used by the author is Simple Additive Weighting (SAW) which can help in making decisions to overcome a complex problem. The results of this study are the decision support system can be used as a tool for decision making recommendations for companies in determining the selection of operational vehicles using the Simple Additive Weighting (SAW) method, in addition to providing an alternative form of decision support systems to help and facilitate the company's stakeholders in decide on operational vehicles.Keywords: Decision Support System, Operational Vehicle, SAW Method.

scholarly journals Sistem Pendukung Keputusan Pemilihan Lembaga Bimbingan Belajar Berdasarkan Pendapatan Orang Tua dengan Metode Simple Additive Weighting

2021 ◽  
Vol 2 (2) ◽  
pp. 89-97
Author(s):  
Fitri Yanti ◽  
Tonni Limbong
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Problem Solving ◽  
Support System ◽  
Multiple Attribute Decision Making ◽  
Weighting Method ◽  
The Road ◽  
Multiple Attribute ◽  
The World ◽  
Simple Additive Weighting

Tutoring institutions are non-formal institutions engaged in the world of education. the number of tutoring institutions that have sprung up nowadays, making competition increasingly fierce causing parents to be selective in choosing however. This is what sometimes makes parents confused about choosing a tutoring institution that suits their income, causing breakups in the middle of the road because they are not in accordance with their income. In a decision support system, the application of a method that can be used as a reference for problem solving must be carried out. In this case, the method used is the Simple Additive Weighting Method (SAW) which is one of the methods used in problem solving in Fuzzy Multiple Attribute Decision Making (FMADM).

scholarly journals Pemilihan Guru Berprestasi Menggunakan DSS (Decision Support System) Dengan Metode FMADM (Fuzzy Multiple Attribute Decission Making) Dan SAW (Simple Additive Weighting)

2018 ◽  
Vol 10 (1) ◽  
pp. 62
Author(s):  
Suryati Suryati ◽  
Zuraidah Jauhari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Sistem pendukung keputusan (decision support systems) merupakan bagian dari sistem informasi berbasis komputer termasuk sistem berbasis pengetahuan/manajemen pengetahuan yang dipakai untuk mendukung pengambilan keputusan dalam suatu organisasi atau perusahaan. Guru adalah faktor pendidik yang paling penting dalam sebuah lembaga kependidikan. Dengan harapan seorang guru tidak hanya mengajar namun juga dapat memberikan pendidikan serta prestasi yang membanggakan bagi dirinya, siswa dan lembaga. Lembaga akan memberikan penghargaan atau reward pada guru yang berhasil tersebut. Kendalanya adalah lamanya waktu untuk menyeleksi guru-guru yang dianggap berprestasi. Berdasarkan permasalahan tersebut, maka perlu dikembangkan adanya sebuah perangkat lunak agar bisa melakukan tugas–tugas secara mandiri sehingga dapat meminimalisir terjadinya kesalahan data maupun mempercepat proses penyeleksian guru berprestasi. Metode yang digunakan adalah FMADM (FuzzyMultiple AtributDecision Making) dan SAW (Simple Additive Weighting). Penelitian ini membahas mengenai pengkajian, analisis dan pengembangan sebuah sistem penunjang keputusan menggunakan pencocokan profil yang bersifat mandiri supaya bisa membantu institusi atau lembaga untuk memberikan reward sebagai penghargaan atas prestasi dari guru pada institusi atau lembaga bersangkutan.

scholarly journals Sistem Pendukung Keputusan Pemilihan Bahan Bakar Sepeda Motor Matic Mengunakan Metode Simple Additive Weighting (SAW)

2021 ◽  
Vol 2 (3) ◽  
pp. 311
Author(s):  
Renny Puspita Sari ◽  
Muhammad Rizqi Darmawan
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Support System ◽  
Fuel Efficiency ◽  
Multiple Attribute Decision Making ◽  
Fuel Oil ◽  
Weighting Method ◽  
Main Requirement ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Fuel oil is the main requirement when people want to drive, one of the vehicles is an automatic motorbike which is widely used by the community. There are many fuels at the gas station, namely premium, pertalite and pertamax. In choosing community fuels, there are still many things to consider, both in terms of quality, price, fuel efficiency, and others. From these various considerations, people must be confused about which one is suitable for their needs. For this reason, there is a DSS (Decision Support System) for selecting motorcycle fuel to assist in finding the appropriate fuel. This system was created using the MADM (Multiple Attribute Decision Making) method to find alternatives to various criteria, including the SAW (Simple Additive Weighting) method to find a rating for each weighted criterion. In the SAW method, the largest rating is the result of alternative choices. The calculation result of the method is if the selected alternative meets the predetermined criteria. In this study, the results of the calculation simulation obtained through the survey are pertalite fuel with the final rating of 0.718, while Pertamax is 0.716 and premium is 0.665

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