Reinforcement Planning Decision of Old Bridge Based on TOPSIS-AHP Method

2014 ◽  
Vol 919-921 ◽  
pp. 426-429
Author(s):  
Xiao Fei Liang ◽  
Yue Xu
Keyword(s):  
Ideal Solution ◽  
Topsis Method ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Policy Makers ◽  
Reinforcement Scheme ◽  
Scheme Optimization ◽  
Order Preference ◽  
Planning Decision ◽  
Hierarchy Process

The application of technique for order preference by similarity to ideal solution(TOPSIS) and analytic hierarchy process(AHP) in reinforcement scheme optimization for bridge is investigated in order to select the optimal scheme from several primarily feasible ones. This paper calculates every index through AHP and applies the improved TOPSIS method to normalize and sort the evaluation index values. Integrating TOPSIS and AHP may Consider both the subjective intentions of policy makers, but also to a certain extent, to avoid arbitrariness.A real project demonstrates that this method is effective and feasible.

scholarly journals Analisis Hasil Pendukung Keputusan Mendapatkan Rumah Dinas Perusahaan Menggunakan Metode Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

2021 ◽  
Vol 5 (2) ◽  
pp. 695
Author(s):  
Andi Zulherry ◽  
T S Gunawan ◽  
Wanayumini Wanayumini
Keyword(s):  
Analytical Hierarchy Process ◽  
Ideal Solution ◽  
Accurate Data ◽  
Topsis Method ◽  
Ahp Method ◽  
Evaluation Result ◽  
Order Preference ◽  
Hierarchy Process ◽  
A Company ◽  
Housing Facility

The Bridgestone company is a company engaged in the plantation sector, currently it has employees of 230 staff/employees, every employee is entitled to an official residence, This requires the company to conduct a decision analysis to determine the official residence for each employee who will apply for the official housing facility. to reduce the level of lack of transparency and accuracy of data that can cause turmoil and gaps for each employee. Then an analysis of the results of decision support for obtaining a company official residence was carried out using the Analytical Hierarchy Process (Ahp) and Technique For Order Preference By Similarity To Ideal Solution (Topsis). The final results of the AHP method trial evaluation result in accurate data where there are 5 employees who are truly in the very feasible category to get an official residence. Whereas in the AHP method there are differences in the results found, where it is found that the number of employees is 1 person who should be in the feasible category but belongs to the very feasible category, so that the number generated from the TOPSIS method is 6 people. With these 2 methods, it can produce an accuracy value of around 60% by entering all the specified criteria.

Sistem Pendukung Keputusan Pemilihan Bibit Padi Berkualitas Dengan Metode AHP Dan Topsis

2021 ◽  
Vol 10 (2) ◽  
pp. 162-169
Author(s):  
Istna Mar`atul Khusna ◽  
Novita Mariana
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytical Hierarchy Process ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Hierarchy Process

Abstrak— Bibit merupakan salah satu penentu dalam keberhasilan budidaya tanaman padi. Budidaya tanaman padi dimulai dari memilih bibit tanaman yang berkualitas karena bibit termasuk objek utama yang dikembangkan pada budidaya selanjutnya. Bibit sebagai pembawa gen dari induknya yang akan menentukan sifat dari tanaman setelah berproduksi dan untuk mendapatkan bibit padi yang berkualitas dapat diperoleh dari memilih dan menentukan bibit yang berasal dari induk berkualitas. Kualitas bibit merupakan kunci keberhasilan dalam budidaya padi. Bibit yang berkualitas mampu beradaptasi, memiliki pertumbuhan yang cepat serta seragam, tumbuh lebih cepat, tahan hama dan tinggi nilai produktivitasnya. Untuk mendapatkan bibit padi berkualitas, petani sering mengalami kesulitan. Berdasarkan kesulitan yang dialami petani, maka akan dibangun sebuah sistem pendukung keputusan untuk membantu petani memutuskan bibit yang akan ditanam sesuai dengan kondisi lingkungan tanam dengan mempertimbangkan beberapa aspek kriteria. Dalam mengatasi masalah pemilihan bibit padi tersebut dibuat sebuah program sistem pendukung keputusan agar memudahkan informasi dan rekomendasi kepada petani padi tentang bibit yang berkualitas. Dengan menggunakan dua metode yaitu Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Penentuan bobot kriteria dilakukan dengan menggunakan metode Analytic Hierarchy Process (AHP), sedangkan untuk tahap perankingan dikerjakan dengan menggunakan metode TOPSIS. Hasil yang didapatkan dari penelitian ini adalah padi berkualitas dari lima alternatif yang sudah ditetapkan, yaitu: Sunggal, Inpari32, Ciherang, IR64, Situbagendit. Sistem menghasilkan nilai preferensi tertinggi yaitu 0,858 pada padi Sunggal di urutan pertama dan  0,767 pada padi Inpari32 diurutan kedua. Jadi dari hasil penelitian ini, peneliti merekomendasikan bibit padi berkualitas yang cocok ditanam di di desa sambongbangi yaitu Sunggal dan Inpari32..Kata Kunci : Bibit Padi, DSS, TOPSIS, AHP, Kualitas Bibit Padi

scholarly journals An AHP-Topsis Integrated Model for Selecting the Most Appropriate Tomography Equipment

2016 ◽  
Vol 15 (04) ◽  
pp. 861-885 ◽  
Author(s):  
Miguel Angel Ortiz Barrios ◽  
Fabio De Felice ◽  
Kevin Parra Negrete ◽  
Brandon Aleman Romero ◽  
Adriana Yaruro Arenas ◽  
...  
Keyword(s):  
Medical Equipment ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Crucial Step ◽  
Complex Decision ◽  
Mcdm Method ◽  
Hierarchy Process

Selecting a suitable Multi Criteria Decision-Making (MCDM) method is a crucial step in selecting appropriate medical equipment. The aim of the research is to define the most appropriate tomography equipment through the integration of the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. A hybrid model is presented. The AHP is used to define the weights of each criterion and sub-criterion through qualitative comparisons. Then, TOPSIS is used to evaluate the purchase options. This research provides decision makers with a scientific and rigorous decision support system useful in strategic and complex decision. A numerical example is also presented.

Comprehensive Decision-Making Model for the Evaluation of Sustainable Products

2014 ◽  
Vol 644-650 ◽  
pp. 5532-5537
Author(s):  
Chang Chun Zhou ◽  
Xiu Fen Zhao ◽  
Cong Ying Deng ◽  
Li Liu ◽  
Zhi Hong Dong ◽  
...  
Keyword(s):  
Comprehensive Evaluation ◽  
Environmental Issues ◽  
Evaluation Procedure ◽  
Topsis Method ◽  
Analytic Hierarchy ◽  
Sustainable Products ◽  
Order Preference ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
The Ideal

Environmental issues have been receiving an increasing amount of attention. However, evaluating sustainable products is a challenging task. A comprehensive approach to evaluate sustainable products based on life cycle assessment strategy is proposed in this study. The evaluation procedure is based on the combination of analytic hierarchy process (AHP) and the technique for order preference by similarity to the ideal solution (TOPSIS) method. A sample evaluation for disposable coffee cups is provided to illustrate the comprehensive evaluation of sustainable products.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LOKASI PEMBUKAAN CABANG USAHA ONLINE BICYCLE INDONESIA DENGAN METODE ANALYTICAL HIERARCHY PROCESS (AHP) DAN TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS)

2021 ◽  
Vol 11 (2) ◽  
pp. 469-479
Author(s):  
Rizki Adha ◽  
Tjahjanto Tjahjanto
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Food Delivery ◽  
Ideal Solution ◽  
Fixed Costs ◽  
Topsis Method ◽  
Order Preference ◽  
Hierarchy Process

The choice of business location will affect the risks and benefits of the company as a whole. This condition occurs because the location greatly affects the fixed costs and variable costs, both in the medium term and long term. The location of the business should be taken into account at the time of planning, so that the business to be run can be organized implementation in the future. Online Bicycle Indonesia is a startup engaged in goods and food delivery services by using online-based bike, will open branches in several cities and districts in Tangerang Raya area so that the result of choosing the right branch location, required a dynamic decision support system that can later be used as consideration of managers in the process of selecting branch locations. Problems in selecting branch of this company can be used Decision Support System using AHP-TOPSIS method. Analytical Hierarchy Process (AHP) method has advantages based on pair comparison matrix and perform consistency analysis, while Technique For Order Preference by Similarity to Ideal Solution (TOPSIS) method can solve practical decision making, because the concept is simple and easy to understand, and have the ability to measure the relative performance of decision alternatives. The results of the study show Kota Tangerang Selatan is superior to the weight of 0.824, the two Kota Tangerang with a weight of 0.732 and three Kabupaten Tangerang with a weight of 0.0, The decision taken can be accounted for by the calculation of AHP-TOPSIS as a model in the decision support system

scholarly journals SISTEM PENDUKUNG KEPUTUSAN KENAIKAN JABATAN DENGAN METODE AHP-TOPSIS (STUDI KASUS: PT. MAKMUR CITRA ABADI)

2017 ◽  
Vol 3 (3) ◽  
pp. 9
Author(s):  
Tiara Imas Ayu ◽  
Rudy Ariyanto ◽  
Yan Watequlis Syaifudin
Keyword(s):  
Analytic Hierarchy Process ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Hierarchy Process

Selama  ini  kenaikan  jabatan  di  PT.  Makmur  Citra  Abadi  masih  dilakukan  secara  manual,  sehingga  tidak menutup kemungkinan jika pengambilan keputusan dilakukan secara subjektif dengan hanya melihat pada aspek tertentu  saja.  Disamping  itu  terdapat  hambatan  dalam  penyeleksian  mengenai  pembobotan  kriteria  sehingga pengambil keputusan sulit menentukan bobot dalam bentuk angka. Melihat masalah tersebut, maka diperlukan sistem  pendukung  keputusan  (SPK)  yang  dapat  membantu  memecahkan  masalah  tersebut.  Sistem  pendukung keputusan  kenaikan  jabatan  diharapkan  mampu  mengatasi  masalah  tersebut  dengan  menyesuaikan  bobot  dan kriteria.  Metode  yang  digunakan  untuk  membantu  dan  mendukung  dalam  pengambilan  keputusan  ini  adalah metode  Analytic  Hierarchy  Process  (AHP)  dan  Technique  Order  Preference  by  Similarity  To  Ideal  Solution (TOPSIS). Aplikasi ini dapat membuat proses penilaian dan pengambilan keputusan menjadi lebih mudah karena adanya dukungan dalam pengambilan keputusan. Selain itu seleksi kandidat yang dilakukan dengan aplikasi ini dapat memberikan hasil cukup akurat, hal ini terbukti dengan pengujian yang telah dilakukan dari perbandingan seleksi manual dan seleksi sistem dengan keakuratan 95%.

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