scholarly journals IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN RUMAH BERBASIS ANDROID

2020 ◽  
Vol 14 (2) ◽  
pp. 102
Author(s):  
Admi Syarif ◽  
Qory Aprilarita ◽  
Muhammad Rizki ◽  
Favorisen R Lumbanraja
Keyword(s):  
Decision Making ◽  
User Satisfaction ◽  
Selection Process ◽  
House Prices ◽  
Performance Testing ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Building Area ◽  
Simple Additive Weighting ◽  
Market Distance

The process of selecting house is a difficult thing to do, because there are many alternatives offered by developers. The purpose of this research is to build an Android-based decision support system that can help selection process involving ten criteria. The criteria used in this research are house prices, building area, land area, electricity, water sources, distance from market, distance from university, number of bedrooms, number of bathrooms, and number of floors. The system built applies Simple Additive Weighting (SAW) method. SAW is one of the well-known methods and is often used for multiple attribute decision making because of its simplicity in providing alternatives during the decision making process. Based on system performance testing, the results of accuracy is 85,7%, which at this time has been categorized as very good. Based on the results of alpha testing and beta testing, it can be concluded that application has worked and meets the level of user satisfaction, with value that is categorized as very good

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.

An integrated approach for cutting fluid selection using multiple attribute decision making methods

2021 ◽  
Vol 15 (1) ◽  
pp. 7860-7873
Author(s):  
S. Dhanalakshmi ◽  
T. Rameshbabu
Keyword(s):  
Decision Making ◽  
Aluminium Alloy ◽  
Selection Process ◽  
Integrated Approach ◽  
Multiple Attribute Decision Making ◽  
Machining Process ◽  
Cutting Fluid ◽  
Maximum Benefit ◽  
Multiple Attribute ◽  
Cutting Fluid Selection

The choice of most appropriate cutting liquid in any machining process should be performed to attain maximum benefit. Selection of cutting fluid needs more than one dimension. For this purpose, many criteria should be deemed in the selection process.  In this study decision making methods such as AHP, TOPSIS and VIKOR are employed to select the suitable cutting fluid. AHP is used to compute the objective weights for the  criteria.The three alternatives considered are Ahonol- 7, Blaser and YBI. A case study of cutting fluid selection for machining LM 25 Aluminium alloy which finds application in automobile industries is presented to explain the applicability and suitability of the anticipated method. Ranking of alternatives in the above methods suggests Ahonol – 7 as the best cutting fluid for CNC turning LM 25 aluminium alloy.

scholarly journals Sistem Pendukung Keputusan Pemberian Reward Pegawai Menggunakan Metode TOPSIS

2020 ◽  
Vol 18 (1) ◽  
pp. 11
Author(s):  
Aisyah Mutia Dawis
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Selection Process ◽  
Multiple Attribute Decision Making ◽  
Management Problem ◽  
Multiple Attribute ◽  
Ideal Solutions ◽  
Order Preference ◽  
Topsis Technique ◽  
A Company

Every company has management providing wages or rewards to employees. This is because employees are one of the resources that are used as a driving force in advancing a company. Besides, many companies provide rewards to their employees with the aim of motivating employees to help more. There is management problem in PKU Muhammadiyah Gamping Hospital for determining the number of rewards obtained by employees because many variables are determined. Therefore, the need of management information system can facilitate the Management of the PKU Muhammadiyah Gamping Hospital in determining decision making for providing rewards. One method that is often used in implementing decision support systems is Multiple Attribute Decision Making (MADM), focusing TOPSIS (Technique for Order Preference with Similarities to Ideal Solutions). By the implementation of the decision support system, PKU Muhammadiyah Gamping Hospital can carry out the selection process more efficiently.The test results by matching the employee data results at PKU Muhammadiyah Hospital obtained 95.83% accuracy so that this system can help the PKU Muhammadiyah Hospital in determining employee rewards.

scholarly journals PENERAPAN MADM DENGAN METODE SAW UNTUK MENENTUKAN TARGET PROMOSI BERDASARKAN ASAL JURUSAN DI SEKOLAH

2021 ◽  
Vol 11 (2) ◽  
pp. 480-492
Author(s):  
B. T. SUTRISNO ◽  
Widyastuti Andriyani
Keyword(s):  
Decision Making ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Penerimaan Mahasiswa Baru (PMB) adalah proses yang sangat penting untuk merekrut mahasiswa baru, di mana jumlah mahasiswa sangat penting untuk operasional dan perencanaan pengembangan Perguruan Tinggi Swasta (PTS). Sebagai bagian dari PTS di Yogyakarta, Fakultas Kesehatan Universitas Jenderal Achmad Yani Yogyakarta berusaha meningkatkan jumlah mahasiswanya, dimana salah satunya dengan mengoptimalkan penenttuan target promosi. Model Multiple Attribute Decision Making (MADM) dengan metode Simple Additive Weighting (SAW) dapat menghasilkan urutan peringkat yang dapat digunakan untuk menentukan keputusan terkait target promosi berdasarkan asal jurusan pada calon siswa di sekolah menengah, sehingga pembuat kebijakan Penerimaan Mahasiswa di Fakultas Kesehatan Universitas Jenderal Achmad Yani Yogyakarta dapat menentukan target promosi yang sesuai untuk meningkatkan jumlah mahasiswa baru.

scholarly journals Sistem Pendukung Keputusan Kelayakan Penerima Hadiah Tahunan Menggunakan Metode Simple Additive Weighting (SAW) Berbasis Android

2020 ◽  
Vol 4 (2) ◽  
pp. 115-126
Author(s):  
Nenny Anggraini ◽  
Siti Ummi Masruroh ◽  
Muhammad Yusuf Nurpariz ◽  
Ariq Cahya Wardhana
Keyword(s):  
Decision Making ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Guna mempertahankan dan memotivasi anggota serta menarik non anggota menjadi anggota, koperasi Bunda mempunyai program kerja yaitu pemberian hadiah kepada anggota setiap tahunnya. Penentuan penerima hadiah, koperasi Bunda masih menggunakan cara manual yaitu melakukan pengundian, yang berpotensi terpilihnya anggota yang berkontribusi minimum yang dinilai kurang layak untuk menerima hadiah. Penentuan kelayakan penerima hadiah pengurus koperasi memberikan standar kriteria yaitu besarnya jumlah pinjaman, banyaknya jumlah tabungan, transaksi menabung, lama menjadi anggota dan banyaknya membawa nasabah non anggota. Upaya membantu koperasi menentukan anggota yang layak menerima hadiah, diperlukan sebuah sistem pendukung keputusan. Sistem dirancang mengggunakan metode Simple Additive Weighting (SAW) yang merupakan salah satu metode Multiple Attribute Decision Making (MADM). Hasil penelitian ini menyatakan bahwa dari 10 data sampel anggota koperasi, didapat nilai tertinggi adalah v_10 dengan nilai 0,861, yang artinya anggota koperasi tersebut layak menerima hadiah tahunan dari pihak koperasi.

scholarly journals Multiple Attribute Decision Making (MADM) in Proportional-Stop-Loss Reinsurance

2017 ◽  
Author(s):  
Jiexuan Wang
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Multiple Attribute Decision Making ◽  
Simulation Software ◽  
Insurance Companies ◽  
Insurance Company ◽  
Multiple Attribute ◽  
Study Results ◽  
Stop Loss

This article addresses reinsurance decision making process, which involves the insurance company and the reinsurance company, and is negotiated through reinsurance intermediaries. The article proposes a decision flow to model the reinsurance design and selection process. In contrast to existing literature on pure proportional reinsurance or stop-loss reinsurance, this article focuses on the combination into Proportional-Stop-loss reinsurance design which better addresses interest of both parties. In terms of methodology, the significant contribution of the study is to incorporate Multiple Attribute Decision Making (MADM) into modelling the reinsurance selection. The Multi-Objective Decision Making (MODM) model is applied in designing reinsurance alternatives. Then MADM is applied to aid insurance companies in choosing the most appropriate reinsurance contract. To illustrate the feasibility of incorporating intelligent decision supporting system in reinsurance market, the study includes a numerical case study using simulation software @Risk in modeling insurance claims, and programming in MATLAB to realize MADM. Managerial implications could be drawn from the case study results. More specifically, when choosing the most appropriate reinsurance, insurance companies should base their decision on multiple measurements instead of single-criteria decision making models for their decisions to be more robust.

Classifying the Level of Economic of Citizen Using Fuzzy Multiple Attribute Decision Making

2019 ◽  
Vol 892 ◽  
pp. 88-93
Author(s):  
Muhamad Muslihudin ◽  
Rita Irviani ◽  
Prayugo Khoir ◽  
Andino Maseleno ◽  
K. Shankar ◽  
...  
Keyword(s):  
Decision Making ◽  
Social Insurance ◽  
Banking Sector ◽  
Multiple Attribute Decision Making ◽  
Economic Assistance ◽  
The People ◽  
Multiple Attribute ◽  
The Government ◽  
Simple Additive Weighting ◽  
High Level

Economics is the first supply for the survival of a country, especially in the development, development and progress. The more developed a country is the better economic growth. Indonesia including the user databases on the economy, especially in the banking sector and the government. Government as the manager of the country's economy in order to make extra efforts of the people and citizens can get considerable economic assistance through various operations conducted by the government such as the division of poor rice and BPJS card. BPJS stands for Badan Penyelenggara Jaminan Sosial (Social Insurance Administration Organization). By doing classifying economic levels using Fuzzy Multiple Attribute Decision Making (FMADM) methods (Simple Additive Weighting) meant that applications created can be used as a tool to suppress errors and improve accuracy by minimizing the possibility of such a wrong target or targets. The application uses the input in the form of data that has a high level of security to be forged such as: proof of payment of electricity bills, vehicle tax, and property tax. Data from the family card to input the number of people staying. The results are sorted according emerged from the lowest to the highest. The calculations were already system and by calculation that has been designed is expected to work as expected.

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 Informasi untuk Menentukan Potensi Mahasiswa Menggunakan Metode Fuzzy Multiple Attribute Decision Making dengan Simple Additive Weighting Studi Kasus : STIKES DUTA GAMA KLATEN

Respati ◽  
2020 ◽  
Vol 15 (1) ◽  
pp. 97
Author(s):  
Sofyan Suryawan Priyono, Wing Wahyu Winarno, Ferry Wahyu Wibowo
Keyword(s):  
Decision Making ◽  
Multiple Attribute Decision Making ◽  
Academic Community ◽  
Teaching Activities ◽  
Learning And Teaching ◽  
A Value ◽  
Multiple Attribute ◽  
Simple Additive Weighting ◽  
Academic Potential

Dalam kegiatan belajar dan mengajar lingkungan akademisi tentunya menghasilkan peserta didik yang memiliki keunggulan diatas rata – rata. Keunggulan mahasiswa dalam sebuah lingkungan belajar dapat di indikasikan menjadi sebuah potensi. Dalam studi kasus penelitian ini STIKES Duta Gama Klaten memiliki beberapa data mahasiswa yang dapat dijadikan tolak ukur untuk menentukan mahasiswa yang memiliki potensi.Dengan implementasi metode Fuzzy Multiple Attribute Decision Making dengan Simple Additive Weighting, yaitu melakukan pembobotan pada setiap alternatif pada semua atribut. Data yang ada akan diberikan nilai sesuai dengan rating kecocokan setiap alternatif. Potensi mahasiswa yang selama ini hanya di indikasikan dalam bidang akademik saja, dalam penelitian ini dibagi menjadi 3 alternatif yaitu potensi akademik, potensi non akademik, dan potensi umum.Hasil dari tahap perankingan akan dijadikan sebagai informasi yang diberikan kepada bagian akademik untuk dijadikan pertimbangan. Diharapkan dengan adanya penerapan metode metode Fuzzy Multiple Attribute Decision Making dengan Simple Additive Weighting dapat membantu dalam menentukan potensi apa saja yang ada dalam lingkungan civitas akademika STIKES Duta Gama Klaten.Kata kunci: Potensi, Akademisi, Civitas, Fuzzy Multiple Attribute Decision Making, Simple Additive Weighting                                               ABSTRACTIn the learning and teaching activities of the academic environment of course produce learners who have above average superiority. Student excellence in a learning environment can be indicated to be a potential. In this case study study STIKES Duta Gama Klaten has some student data that can be used as a benchmark to determine students who have potential.With the implementation of Fuzzy Multiple Attribute Decision Making method with Simple Additive Weighting, which is to weighting every alternative on all attributes. Existing data will be assigned a value in accordance with each alternative's match rating. Potential students who have been only indicated in the field of academics alone, in this study is divided into 3 alternatives of academic potential, non-academic potential, and general potential.The results of the ranking stage will be used as information given to the academic to be considered. It is expected that the application of the method of Fuzzy Multiple Attribute Decision Making method with Simple Additive Weighting can help in determining the potential of what is in the academic community of STIKES Duta Gama Klaten.Keywords: Potential, Academic, Civitas, Fuzzy Multiple Attribute Decision Making, Simple Additive Weighting

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