Optimized selection of nanohydroxyapatite‐filled dental restorative composites formulation for best physico‐mechanical, chemical, and thermal properties using hybrid analytical hierarchy process ‐ multi‐objective optimization on the basis of ratio analysis approach

2021 ◽  
Author(s):  
Swati Gangwar ◽  
Sukriti Yadav ◽  
Vimal Kumar Pathak
Keyword(s):  
Thermal Properties ◽  
Analytical Hierarchy Process ◽  
Analysis Approach ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Restorative Composites ◽  
Hierarchy Process ◽  
Dental Restorative ◽  
Selection Of

scholarly journals Implementation of the Analytical Hierarchy Process Method and Multi Objective Optimization on the Basis of Ratio Analysis in the Selection of Insurance Products

2022 ◽  
Vol 1 (1) ◽  
pp. 41-50
Author(s):  
Haviluddin Haviluddin ◽  
Edy Budiman ◽  
Rendy Ramadhan
Keyword(s):  
Analytical Hierarchy Process ◽  
Confusion Matrix ◽  
Ratio Analysis ◽  
Limited Information ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
East Kalimantan ◽  
Insurance Product ◽  
Hierarchy Process ◽  
Selection Of

Insurance product offerings are not always understood by prospective customers (CN) due to limited information related to products. This can cause confusion so that CN does not want to buy it. The purpose of this study is to analyze the selection of insurance products PT. AIA Financial Samarinda, East Kalimantan, Indonesia uses the Analytical Hierarchy Process (AHP) and Multi Objective Optimization on the Basis of Ratio Analysis (MOORA) approach so that CNs can choose based on insurance product facilities that match their abilities. In this study, as many as 10 types of insurance products and 10 CN criteria were then analyzed based on the two methods used. Then, the calculation accuracy of the two methods has been using the confusion matrix (CM) method. Based on the results of CM calculations from 27 CN datasets with a conformity level of 81.5%, it has been obtained which indicates that the two methods can be implemented as an alternative in choosing insurance products according to ability or based on CN criteria. The results show that this method is quite effective, efficient and relatively easy to use in determining insurance products that meet the criteria or according to CN's economic capabilities

scholarly journals Selection of softwood species for structural and non-structural timber construction by using the analytic hierarchy process (AHP) and the multi-objective optimization on the basis of ratio analysis (MOORA)

2019 ◽  
Vol 25 (2) ◽  
pp. 281-288
Author(s):  
Şükrü Özşahin ◽  
Hilal Singer ◽  
Ali Temiz ◽  
İbrahim Yıldırım
Keyword(s):  
Analytic Hierarchy Process ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Larix Occidentalis ◽  
Western Larch ◽  
Analytic Hierarchy ◽  
Multi Objective ◽  
Structural Applications ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

In this study, the hybrid approach of the analytic hierarchy process (AHP) and the multi-objective optimization on the basis of ratio analysis (MOORA) was used in order to select the most suitable softwood timber for constraction. Douglas fir (Pseudotsuga menziesii), Lodgepole pine (Pinus concorta), Red pine (Pinus resinosa), Redwood (Sequoia sempervirens), Engelmann spruce (Picea engelmannii), Eastern hemlock (Tsuga canadensis), Western larch (Larix occidentalis) and Western redcedar (Thuja plicata) were evaluated in terms of economic, physical, mechanical, thermal and durability properties. According to the results, the most suitable timbers for structural and non-structural applications were determined western larch and redwood, respectively.

scholarly journals PENERAPAN MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) METHOD DALAM MENGEVALUASI KINERJA GURU HONORER

2019 ◽  
Vol 2 (2) ◽  
pp. 10
Author(s):  
Sofiansyah Fadli ◽  
Khairul Imtihan
Keyword(s):  
Professional Competence ◽  
Ratio Analysis ◽  
Human Beings ◽  
Multi Objective Optimization ◽  
National Education ◽  
Multi Objective ◽  
Outstanding Teachers ◽  
High Achieving ◽  
Moora Method ◽  
Selection Of

The role of the teacher is very important in the learning process, also advancing the world of education. Because the quality of the teacher becomes a very important aspect, teachers must have competencies that comply with national education standards in order to perform their duties and roles with competency standards that can lead learners to Human beings with knowledge and ability. According to the guidebook for the selection of high achieving teachers, the selection of high achieving teachers to increase the motivation of teachers to improve their professionalism. The selection of outstanding teachers starts from the education unit, Regency/City, province to National. On the basis of why. The government appreciates outstanding teachers as outlined in RI Law No. 14 of 2005 concerning Teachers and Lecturers article 36 paragraph (1) which says that "Teachers who excel, are exceptionally dedicated, and can help in special areas receive awards". One form of appreciation given to outstanding teachers is to help in the promotion of position. The first step is to look for supporting data as mandated by the National Education Minister's Regulation No. 16 of 2007 on the academic qualification standard and the teacher competency standard, then the requirements used in Competency assessment of this teacher in accordance with pedagogic competence, competence, social, and professional competence and each criterion has a sub criteria. The data obtained were further analyzed using the Multi-Objective Optimization Ratio Analysis (MOORA) method used to determine the highest score or the highest teacher award value based on what was determined by the ranking process. With the final goal this method can be used as a solution to problems in improving the performance of honorary teachers.

scholarly journals Sistem Pendukung Keputusan Pemilihan Pramuka Pandega Berprestasi Menggunakan Metode Multi Objective Optimization on the Basis of Ratio Analysis

2019 ◽  
Vol 6 (2) ◽  
pp. 155 ◽  
Author(s):  
Ramadiani - Ramadiani ◽  
Famylia Puspa Rani ◽  
Dyna Marisa Khairina ◽  
Heliza Rahmania Hatta
Keyword(s):  
Final Report ◽  
Final Decision ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Literature Study ◽  
Grade Point ◽  
Multi Objective ◽  
East Kalimantan ◽  
Moora Method ◽  
Selection Of

<p class="Judul2">Abstrak</p><p>Pemilihan Pramuka Pandega berprestasi, merupakan kegiatan rutin setiap tahun yang dilakukan oleh Pengurus Daerah Gerakan Pramuka Provinsi Kalimantan Timur. Kegiatan ini bertujuan untuk memilih wakil Pandega yang akan dikirim ke Jakarta. Pemilihan Pramuka Pandega yang terbaik didasarkan pada kriteria usia, Indeks Prestasi Kumulatif, jumlah perkemahan wirakarya yang pernah diikuti, kepribadian dan penampilan, peluang kerja yang dimiliki dan pretasi lain serta karya tulis. Namun dengan cara penilaian yang masih manual, hal ini dianggap cukup sulit, kurang produktif, subjektif dan lambat bagi tim penilai. Sistem Pendukung Keputusan diperlukan untuk memudahkan pekerjaan tim penilai dalam memutuskan siapa yang layak dipilih sebagai Pandega berprestasi secara mudah, objektif, professional dan transparan. Pemilihan Pandega berprestasi menggunakan metode Multi Objective Optimization on the Basis of Ratio Analysis, studi literatur dan wawancara pada tim penilai, serta metode waterfall untuk tahapan pengembangan sistemnya. Berdasarkan hasil dari beberapa penelitian, metode MOORA dipilih karena memiliki nilai cost dan benefit dalam menentukan keputusan. Penelitian ini telah menghasilkan rekomendasi untuk pemilihan Pandega berprestasi dengan hasil akurasi sebesar 100%.</p><p> </p><p><strong> <em>Abstract</em></strong></p><p class="Judul2"><em><em>Selection of Scouts Pandega achievers are an annual agenda organized by the Regional Board of the Scout Movement of East Kalimantan Province. This activity aims to elect Pandega representatives to be sent to Jakarta. The best selection of Pandega Scouts is based on the criteria of age, Grade Point Average, number of workshops that have been attended, personality and appearance, work opportunities that are owned and other achievements and writing. However, with calculations that have not been automated, this is considered quite difficult, not professional, not objective and slow for the assessment team. DSS is provided to help the assessment team complete their work professionally in deciding who is eligible to be chosen as Pandega to achieve easily, objectively, professionally and transparently. The selection of Pandega achieves using the MOORA method, literature study and interviews with the assessment team, and the waterfall method for the development stages of the system. Based on the results of several studies, the MOORA method is recommended because this method allows an assessment of the costs and benefits in the final decision. The final report of this study resulted in Pandega's achievement achievement based on 100% accuracy value</em></em></p>

scholarly journals Multi-Objective Optimization Method by Ratio Analysis in Determining Results in Decision Support Systems

2018 ◽  
Author(s):  
Andysah Putera Utama Siahaan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Optimization Method ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Moora Method ◽  
A Company ◽  
Selection Of

Decision support system in selecting a product aims to improve the company's performance in the selection of certain products. This system is excellent to apply to companies, especially in companies that produce goods. It is so that consumers will not experience disappointment in the selection of these items. Every company needs a decision support system that can help choose the best product results accurately based on predetermined criteria. It is to avoid fatal errors. Therefore a company is beneficial and makes decision making more comfortable, in the selection of goods. The method used in this study is Multi-Objective Optimization on the Base of Ratio Analysis (MOORA). Selection of product results will be more structured and achieved using the MOORA method. Companies in the selection of goods will be under the desired target and can also minimize errors.

scholarly journals Sistem Pendukung Keputusan Pemilihan Mekanik Sepeda Motor Yamaha Alfascorfii Dengan Metode Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA)

2018 ◽  
Vol 2 (2) ◽  
pp. 162
Author(s):  
M Safii ◽  
Azlan Zulhamsyah
Keyword(s):  
Job Performance ◽  
Optimization Method ◽  
Consumer Confidence ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Service Business ◽  
A Company ◽  
Selection Of ◽  
Better Than

Job performance is one of the needs in a company. The demand for these needs aims to foster consumer confidence in the services provided. In service business activities such as the sale and service of professional motorbikes, mechanical work is needed. In determining the best mechanic, there are many criteria that the mechanic must fulfill. These criteria include efforts to overcome problems, years of service, education and discipline. The selection of the best motorcycle mechanics is done to help improve the mechanical workability to be better than before. To assist with the determination or selection in determining someone who deserves to be the best motorcycle mechanic, a decision support system is needed. In this study a case will be raised which is looking for the best alternative based on the criteria that have been determined by using the Multi Objective Optimization Method On The Base Of Ratio Analysis (MOORA). The research was conducted by looking for weight values for each attribute, then ranking process was carried out which would determine the optimal alternative, namely Yamaha Alfascorfii motorcycle mechanics.

SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN OPERATOR SELULER MENGGUNAKAN METODE MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Khairun Nisa Arifin Nur ◽  
Sundari Retno Andani ◽  
Poningsih Poningsih
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Delivery Services ◽  
Freight Forwarding ◽  
North Sumatra ◽  
Selection Of

Pematangsiantar  is a developing city in North Sumatra, so it is not surprising that there are a lot of freight forwarding partners that offer goods delivery services to peoples such as POS Indonesia, JNE, JET Express, J & T Express and SiCepat Express. Many factors that influence people, especially online shop users on the selection of freight forwarding companies, such as the length of delivery, price, type of fleet, range, to company experience. Then it is necessary to build a system that helps the community in taking a decision. The model used to build this Decision Support System uses the Multi-Objective Optimization On The Base Of Ratio Analysis Method which is expected to provide convenience for people in the selection of cellular operators that they will use.Keywords: Decision Support System, MOORA, Online Shop, delivery services

Application of multi-objective optimization on the basis of ratio analysis (MOORA) for selection of cotton fabrics for optimal thermal comfort

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ashis Mitra
Keyword(s):  
Decision Making ◽  
Reference Point ◽  
Rank Correlation ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Multi Objective ◽  
Moora Method ◽  
Very High ◽  
Selection Of

Purpose Selection of fabrics for particular purposy-e has created lots of research interest over the years, and the said problems have been addressed by several researchers using various multi-criteria decision-making (MCDM) methods. The main purpose of this paper is to highlight a maiden approach to handle one such fabric selection problem using multi-objective optimization by ratio analysis (MOORA) as a simple yet potent MCDM tool. Design/methodology/approach Two approaches of MOORA method (namely, ratio system and reference point) have been demonstrated for ranking of 13 candidate fabrics based on four fabric attributes, namely, fabric cover, thickness, areal density and porosity. Findings In both the approaches, candidate fabric F3 secures rank 1 (the best alternative) whereas fabric F6 occupies rank 13 (the worst alternative). Moreover, ranking orders of these two approaches are alike and also show very high level of congruence with those of other approaches reported by earlier researchers, as evidenced from extremely high rank correlation coefficients (Rs > 0.89). During sensitivity analysis, each of the ranking results obtained from the four simulated weight sets do demonstrate very high degree of correlation (Rs > 0.90 for ratio system, and Rs > 0.81 for reference point). Besides, no occurrence of rank reversal is observed even when the initial decision-making matrix is changed. Originality/value Most the methods adopted so far for fabric selection purpose involve huge mathematical equations, complex computation and/or logic. The uniqueness of the MOORA method is that it involves minimal and thus very simple mathematical operations although possesses higher level of robustness and reliability.

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