scholarly journals Analisis Sensitivitas AHP-SAW dan ROC-SAW dalam Pengambilan Keputusan Multikriteria

2019 ◽  
Vol 3 (2) ◽  
pp. 85
Author(s):  
I Gede Iwan Sudipa ◽  
Ida Ayu Dwi Puspitayani
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Rank Order ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Hierarchy Process

Beasiswa merupakan salah satu upaya yang dilakukan pemerintah dalam mendorong dan membantu potensi kemajuan pendidikan di negara Indonesia, salah satunya adalah beasiswa Peningkatan Prestasi Akademik(PPA) sehingga diperlukan seleksi penerima beasiswa untuk menentukan penerima beasiswa yang sesuai dengan kriteria penilaian. Permasalahan seleksi beasiswa termasuk kedalam permasalahan Multi Attribute Decision Making (MADM). Penelitian ini menganalisis masalah MADM yaitu pemberian beasiswa dengan menggunakan kombinasi metode Analytical Hierarchy Process (AHP), Simple Additive Weighting(SAW) dan model pemberian bobot Rank Order Centroid(ROC). Pengujian metode yang sesuai dilakukan dengan melakukan analisis sensitivitas untuk mengetahui kombinasi metode yang paling sensitif dalam menghasilkan perankingan akhir penerima beasiswa. Dari hasil pengujian analisis sensitivitas kombinasi ROC-SAW menghasilkan nilai sensitivitas terkecil dengan nilai 0.000144, dan dari 18 percobaan perubahan bobot yang dilakukan untuk mengetahui perubahan ranking hasil akhir didapatkan hasil bahwa metode AHP-SAW menghasilkan perubahan ranking dengan persentase 80,56% dari ranking awal, dan ROC-SAW menghasilkan perubahan ranking dengan persentase 90,83% dari ranking awal. Kata Kunci: Analisis Sensitivitas, AHP-SAW, ROC-SAW, Multikriteria 

Multi-Attribute Decision Making in Risk Analysis

2016 ◽  
pp. 246-290
Author(s):  
William P. Fox
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Risk Analysis ◽  
Analytical Hierarchy Process ◽  
Data Envelopment ◽  
Ideal Solution ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Hierarchy Process

Multi-Attribute Decision Making (MADM) is commonly used when we are comparing more than two courses of actions or alternatives based upon many selected criteria. This chapter presents methodologies to conduct MADM analysis for risk analysis and risk assessment across a variety of topics. These methodologies include Data Envelopment Analysis (DEA), Simple Additive Weighting (SAW), Analytical Hierarchy Process (AHP), and the Technique of Order Preference by Similarity to Ideal Solution (TOPSIS). The author describes each methodology, provide some strengths and limitations of each, discuss tips for sensitivity analysis, and provide two risk analysis examples to illustrate each method.

scholarly journals SISTEM LAYANAN PENGAJUAN KREDIT PADA BMT AL HIKMAH SEMESTA CABANG DAWE DENGAN METODE SAW

2020 ◽  
Vol 1 (1) ◽  
pp. 9-12
Author(s):  
Susilo Ery Wibowo ◽  
Endang Supriyati ◽  
Ratih Nindyasari
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Hierarchy Process

BMT Alhikmah Semesta cabang Dawe merupakan koperasi simpan pinjam yang melayani pembiayaan syariah. Dalam proses pengajuan pinjaman hingga persetujuan pembiayaan masih dilakukan secara konvensional. Dengan berkembangnya sistem informasi yang terkomputerisasi, proses pengajuan dan proses analisa dapat lebih di efisienkan prosesnya. Yaitu dalam hal waktu proses pengajuan, proses analisa dan memilimalkan penggunaan kertas. Maka dari itu dibuat aplikasi Sistem Layanan Pengajuan Kredit Online. Ada beberapa metode yang dapat digunakan dalam menganalisa tingkat kelayakan pemohon dalam menerima pinjaman yaitu Analytical Hierarchy Process (AHP), Weighted Product (WP), Simple Additive Weighting (SAW). Metode yang digunakan dalam melakukan analisa pemohon adalah Simple Additive Weighting (SAW). Metode ini merupakan salah satu metode dari Multi-Attribute Decision Making (MADM). Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif pada setiap atribut. Metode ini membutuhkan proses normalisasi matrik keputusan ke suatu skala yang dapaat diperbandingkan dengan semua rating alternatif maupun kriteria yang ada. Sehingga metode SAW mampu menghasilkan analisa alternatif terbaik dari masing-masing kriteria yang dilakukan proses perhitungan. Dalam hal ini alternatif yang dicari adalah yang layak menerima kredit.

scholarly journals Application of Multi-Attribute Decision-Making Methods for the Selection of Conveyor

2021 ◽  
Author(s):  
Satyam Fulzele ◽  
Satywan Khatke ◽  
Shubham Kadam ◽  
Avinash Kamble
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Material Handling ◽  
Selection Process ◽  
Decision Makers ◽  
Variable Cost ◽  
Fixed Cost ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Hierarchy Process

Abstract In the present time of innovation, conveyor assume an exceptionally indispensable part and have huge significance for material handling in different enterprises. A conveyor is essentially utilized for moving any sort of material from one area to other. It is made with nearer precisions, hence the expense related with manufacturing is additionally high. In this manner, it should work with better productivity. The choice of the best conveyor is a crucial activity for designers. Designers need to recognize different variables that will influence the functionalities of the conveyor system to limit bottlenecks in the system. An efficient methodology should be accomplished for the conveyor selection. Subsequently, the current work aims to the selection process of the best option for conveyor by using four decision making methods such as analytical hierarchy process, technique of order preference by similarity to ideal solution, compromise ranking method and Deng’s similarity based method. The selection is done among four alternatives based on six attributes viz: fixed cost each hour, variable cost each hour, conveyor speed, product width, product weight and flexibility. The analytical hierarchy process is used to determine weights of the attributes based on relative importance of each attribute. It is also observed that A3 conveyor is best suitable conveyor. Hence the above proposed strategies help decision-makers to examine and choose the best conveyor by considering the rank obtained of the alternatives.

scholarly journals PRIORITISING SUSTAINABILITY FACTORS FOR AUSTRALIAN COMMUNITY BUILDINGS’ MANAGEMENT USING ANALYTICAL HIERARCHY PROCESS (AHP)

2018 ◽  
Vol 24 (1) ◽  
pp. 37-50 ◽  
Author(s):  
Pushpitha KALUTARA ◽  
Guomin ZHANG ◽  
Sujeeva SETUNGE ◽  
Ron WAKEFIELD
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Australian Community ◽  
Multi Attribute Decision Making ◽  
Building Components ◽  
Community Buildings ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Comparison Data

The essence of Australian community buildings’ sustainable management drives through a previously established decision-making structure with four sustainability aspects and accompanying 18 criteria. Informed decisions are supported with a decision-making model that generates sustainability impacts of building components based on this decision-making structure. Building components’ individual impacts can be assigned using a numbering scale incorporated with linguistic terms. However, similar importance given to each aspect or criterion is arguable when the combined effect is considered. Hence, they should be given different weightings and their combination with individual impacts will produce final sustainability impacts. For calculating weightings, the study uses Analytical Hierarchy Process (AHP), widely used technique in Multi Attribute Decision-Making (MADM). The study also conducted an industry-wide questionnaire across Australian local councils because pair-wise comparison data is essential for weighting calculation. This paper presents the survey data and analysis results that captured weightings of sustainability aspects and criteria.

scholarly journals GDSS MULTI KRITERIA PENENTUAN STRATEGI MARKETING TERBAIK PERGURUAN TINGGI

2019 ◽  
Vol 9 (1) ◽  
pp. 15
Author(s):  
Sumiyatun Sumiyatun
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Analytical Hierarchy Process ◽  
Group Decision ◽  
Group Decision Support ◽  
Ideal Solution ◽  
Group Decision Support System ◽  
Order Preference ◽  
Multi Attribute Decision Making ◽  
Hierarchy Process

Dunia  pendidikan  telah  mengalami  evolusi  secara  kontinyu.  Salah  satu faktor  pemicunya  adalah  kompetisi  antar  perguruan  tinggi  yang  semakin  ketat. Oleh karena itu pemasaran menjadi unsur yang strategis dalam menjaga eksistensi perguruan  tinggi. Dalam membuat keputusan pemilihan strategi marketing, terdapat beberapa kriteria yang perlu dipertimbangkan, diantaranya adalah biaya, waktu, tingkat pengaruh, capaian target dan lain sebagianya. Pada perguruan tinggi swasta pengambilan keputusan terkait strategi marketing tidak hanya ditentukan oleh bagian Humas saja, akan tetapi  harus meminta pertimbangan dari pihak manajemen dan yayasan pemilik perguruan tinggi. Berdasarkan  kompleknya permasalahan  yang  dihadapi,  diperlukan  sebuah  sistem pendukung  keputusan  kelompok  atau  Group  Decision  Support  System  (GDSS) dalam menentukan strategi marketing pergurauan tinggi.  Pada  penelitian  ini,  penulis  mengajukan  GDSS  menggunakan metode Analytical  Hierarchy Process (AHP) yang mendukung model Multi Attribute Decision Making (MADM) dan  Technique for  Order  Preference by  Similarity  to  Ideal  Solution  (TOPSIS)  sebagai  model  untuk  pengambilan keputusan. Penggunaan  GDSS  pada penelitian ini bertujuan  untuk  mengakomodir  penilaian  lebih  dari  satu  evaluator  dan meningkatkan  kualitas  keputusan.  Dengan  demikian  diharapkan  penilaian  yang dilakukan lebih obyektif, karena tidak dilakukan oleh satu pihak saja. Perangkat lunak yang dibangun dari hasil penelitian ini diharapkan  mempermudah dan mempercepat dalam menentukan strategi marketing perguruan tinggi.

scholarly journals AHP, Fuzzy SAW, and Fuzzy WPM for the Evaluation of Cultural Websites

2020 ◽  
Vol 4 (1) ◽  
pp. 5
Author(s):  
Katerina Kabassi ◽  
Christos Karydis ◽  
Athanasios Botonis
Keyword(s):  
Decision Making ◽  
Cultural Heritage ◽  
Analytical Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Product Model ◽  
Decision Making Models ◽  
Simple Additive Weighting ◽  
Hierarchy Process

The evaluation of cultural websites is a complicated procedure that depends on several criteria. The main contribution of this paper is on showing how this process may be implemented. For this reason, different multi-criteria decision-making methods are combined and compared for processing the results of the evaluation. More specifically, the paper provides the criteria for evaluating a website of cultural heritage and presents the application of Analytical Hierarchy Process for estimating the weights of the criteria. Then, it compares two different multi-criteria decision-making models, fuzzy simple additive weighting and fuzzy weighted product model, for being combined with Analytical Hierarchy Process and processing the results of the evaluation. The evaluation involves 29 websites of the conservation labs of the international museums and useful conclusions are extracted about the application of all methods and the combination of Analytical Hierarchy Process with fuzzy simple additive weighting and fuzzy weighted product model.

scholarly journals KOMPARASI METODE ANALYTICAL HIERARCHY PROCESS (AHP) DAN SIMPLE ADDITIVE WEIGHTING (SAW) DALAM PENENTUAN SKALA PRIORITAS PROYEK PEKERJAAN (Studi Kasus : CV. EUK Samarinda )

2019 ◽  
Vol 2 (1) ◽  
pp. 13
Author(s):  
Achmad Jaya Adhi Nugraha
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Project Selection ◽  
Selection Method ◽  
Ahp Method ◽  
A Priority ◽  
Simple Additive Weighting ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Better Than

Semua proyek pekerjaan yang dikeluarkan oleh PT. PLN (Persero) Wilayah Samarinda secara resmi diumumkan melalui e-procurement. Masalah yang muncul adalah bagaimana CV. EUK dapat menentukan tawaran proyek pekerjaan mana yang layak untuk dikerjakan sehingga secara tidak langsung dapat mempengaruhi kenaikan harapan pada Laba Kotor yang akan diterima. Masalah ini juga terkait langsung bagaimana menentukan penjadwalan proyek kerja yang dilakukan pada skala prioritas. Metode AHP diterapkan untuk menentukan Skala Prioritas Kerja yang akan dipilih dengan B / C Analysis sebagai model pengambilan keputusan. Diharapkan penerapan metode ini secara tidak langsung dapat meminimalkan keterlambatan dalam penyelesaian pekerjaan dan meningkatkan harapan penerimaan Laba Kotor. Sebagai pembanding digunakan metode SAW. Hasil penelitian menunjukkan bahwa metode AHP jauh lebih baik daripada metode SAW, dan mampu menunjukkan kelemahan metode pemilihan proyek yang digunakan CV. EUK sejauh ini.All job projects issued by PT. PLN (Persero) Area Samarinda is officially announced through e-procurement. The problem that arises is how the CV. EUK can determine which job project bid is feasible to work so that it can indirectly affect the increase of expectation on Gross Profit to be received. This problem is also directly related to how to determine the scheduling of work projects undertaken on a priority scale. The AHP method is applied to determine the Work Priority Scale to be selected with B / C Analysis as a decision-making model. It is hoped that the implementation of this method can indirectly minimize the delay in the time of completion of the work and increase the expectation on the acceptance of Gross Profit. As a comparison used SAW method. The results showed that AHP method is much better than SAW method, and able to show weakness of project selection method used CV. EUK so far. 

scholarly journals Analisis Jumlah Pengguna pada Traffic IP-based dengan Multi Criteria Decision Making

MIND Journal ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 92-107
Author(s):  
MARISA PREMITASARI
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Fuzzy Rules ◽  
Multi Criteria Decision Making ◽  
Active Monitoring ◽  
Passive Monitoring ◽  
Process Output ◽  
Traffic Speed ◽  
Simple Additive Weighting ◽  
Hierarchy Process

AbstrakTrafik telekomunikasi sudah bermigrasi ke IP-based Traffic. Salah satunya adalah Laboratorium TIK (Teknologi Informasi dan Komunikasi) ITENAS yang meng-generate invarian trafik. Pada penelitian ini, penulis melakukan monitoring pasif dan aktif untuk mendapatkan berbagai invarian trafik. Monitoring pasif didapatkan dari software ISP Moratel dan SOPHOS Firewall. Monitoring aktif dilakukan dengan capture data secara live pada waktu jam sibuk. Invarian trafik yang berhasil di-captured adalah incoming traffic, outgoing traffic, speed, volume, date dan downtime. Jam sibuk diambil berdasarkan dugaan sementara  mulai pukul  10.00-16.00.  Invarian ini menjadi input dari sistem untuk dijadikan kriteria dan jam sibuk  dijadikan atribut. Kriteria dan atribut  diolah dengan metoda Multi Criteria Decision Making yaitu SAW (Simple Additive Weighting) dan AHP(Analytical Hierarchy Process). Output dari sistem adalah prediksi jumlah pengguna di jam sibuk dengan skala fuzzy rules. Hasil penelitian menyimpulkan pukul 11.00 AM-12.00 PM adalah jam tersibuk dengan jumlah user terbanyak.Kata kunci: monitoring aktif, monitoring pasif, kriteria, atribut,bobotAbstractTelecommunication traffic has migrated to IP-based traffic .One of the industry is Laboratorium TIK ITENAS  (Teknologi Informasi dan Komunikasi)  which generates traffic  invariant. In this study, the authors conducted passive and active monitoring to obtain various traffic invariance. Passive monitoring were obtained from ISP Moratel software and SOPHOS Firewall. Active monitoring were done by capturing live data during peak hours. Traffic invariance that have been captured consist  incoming traffic, outgoing traffic, speed, volume, date and downtime. Busy hours were taken based on personal estimation start from 10.00-16.00. This invariance became the system’s input  which has been used as criteria and peak hours are used as attributes. Criteria and attributes were processed using the Multi Criteria Decision Making method, namely SAW (Simple Additive Weighting and AHP (Analytical Hierarchy Process). The output of the system is user’s number prediction  with fuzzy scale. The result  concluded that 11.00 AM-12.00 PM is the  busiest hours with the most number of usersKeywords: active monitoring, passive monitoring, criterion, attributes, weight 

scholarly journals PERBANDINGAN FUZZY AHP-SAW DENGAN FUZZY AHP-VIKOR UNTUK MENINGKATKAN DAYA SERAP POLITEKNIK TERHADAP INDUSTRI

2019 ◽  
Vol 6 (1) ◽  
pp. 1-10
Author(s):  
Dani Anggoro ◽  
Nawindah Nawindah
Keyword(s):  
Decision Making ◽  
Service Quality ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Analytic Hierarchy ◽  
Office Management ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Hierarchy Process

Peningkatan daya serap Politeknik terhadap industri sangat dipengaruhi oleh lulusannya salah satunya dipengaruhi oleh pemilihan jurusan yang merupakan awal untuk menciptakan mahasiswa yang ahli dibidangnya. Penentuan kriteria, subkriteria dan alternatif menggunakan Cochran Q Test. Untuk mendapatkan bobot digunakan metode Analytic Hierarchy Process (AHP). Kriteria yaitu jurusan sekolah asal, subkriteria yaitu IPA, IPS, AK, PJ/PM. Kriteria hasil tes bakat minat yaitu sanguinis, melankolis, korelis dan plegmatis. Alternatif diantaranya Computerized Accounting (CA), Office Management (OM), Informatics Computer (IC). Pada pemilihan jurusan ini peneliti membandingkan metode yang sesuaidengan Fuzzy Multi Attribute Decision Making metode Analytic HierarchyProcess (AHP)- Simple Additive Weighting (SAW) dan metode Analytic Hierarchy VIKOR (Visekriterijumsko Kompromisno Rangiranje). Daya serap terhadap industri menggunakan metode deskriptif dengan alat ukur service quality hasilnya industri puas terhadap lulusan yang berkerja pada industri baik dari hardskill dan softskill. Metode Fuzzy AHP-SAW urut peringkat 1,2 dan 3 yaitu alternatif IC dengan nilai V1 1.76144, alternatif CA dengan nilai V2=1.56974, alternatif V3 dengan nilai OM =1.33618 . Menggunakan metode Fuzzy AHP-VIKOR dengan urut peringkat 1 sampai 3 yaitu alternatif IC dengan nilai Q1=0, alternatif CA dengan nilai Q2=1, alternatif OM dengan nilai Q3=1. Kedua metode tersebut dapat digunakan untuk rekomendasi pemilihan jurusan untuk politeknik LP3I kampus Karang Tengah.

scholarly journals IMPLEMENTASI METODE SAW DAN WASPAS DENGAN PEMBOBOTAN ROC DALAM SELEKSI PENERIMAAN PESERTA DIDIK BARU (Studi Kasus: Madrasah Tsanawiyah (MTs) Negeri Kisaran Kabupaten Asahan Provinsi Sumatera Utara Tahun Ajaran 2018/2019)

2019 ◽  
Vol 8 (4) ◽  
pp. 428-438
Author(s):  
Eva Salsa Nabila ◽  
Rita Rahmawati ◽  
Tatik Widiharih
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Selection Process ◽  
Rank Order ◽  
Average Percentage ◽  
New Students ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Academic Potential ◽  
Selection Of

Multi Attribute Decision Making (MADM) is one of the decision-making methods to determine the best alternative from a number of alternatives based on certain criteria. There are several methods that can be used to solve MADM problems including Simple Additive Weighting (SAW) and Weighted Aggregated Sum Product Assesmen (WASPAS). Both methods are applied in the selection of prospective new students. In this study, MTsN Kisaran selected 192 students received from 422 registrans and determined certain criteria to get quality students. The criteria determined are the value of the national exam, the value of the Al-Qur'an test, and the value of the academic potential test. The method applied is SAW and WASPAS with the  weighting Rank Order Centroid (ROC). Then a sensitivity analysis is carried out to determine a viable methods selected to obtain optimal results. This research was designed with the help of the Matlab GUI as a computing tool to simplify and accelerate the selection process. Based on the results of the study, the average percentage value of sensitivity for the SAW method was -0.82% while the WASPAS method was -0.87%. With the existence of sensitivity analysis it can be known the most appropriate method for this case is the SAW method.                                                   Keywords: Students, SAW, WASPAS, ROC, Sensitivity, GUI Matlab.

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