scholarly journals OPTIMALISASI PENENTUAN JURUSAN MELALUI PERBANDINGAN METODE MOORA-WASPAS

2021 ◽  
Vol 8 (2) ◽  
pp. 108-114
Author(s):  
Ullya Mega Wahyuni ◽  
Afriyanti Dwi Kartika
Keyword(s):  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Multi Objective

Abstrak— Penyerapan tenaga kerja dari lulusan Sekolah Menengah Kejuruan (SMK) lebih rendah dibandingkan lulusan tingkat pendidikan lainnya. Hal ini terlihat dari banyaknya tingkat pengangguran dari lulusan SMK sebesar 13,55 %. Untuk meningkatkan kompetensi lulusan SMK salah satunya dengan pemilihan jurusan yang tepat. Pemilihan jurusan yang tepat dapat membantu meningkatkan kompetensi keahlian siswa dan memberikan kenyamanan selama proses belajar mengajar. Keputusan pemilihan jurusan yang dilakukan siswa saat ini berdasarkan pengaruh orang lain atau berdasarkan jurusan yang paling banyak diminati. Hal ini akan menyebakan ketidaksesuaikan penempatan jurusan dengan kemampuan calon siswa sehingga materi yang diberikan selama di dalam kelas akan sulit diterima. Untuk membantu penentu keputusan dalam menentukan keputusan maka hasil rekomendasi dari sistem pendukung keputusan (SPK) dapat dijadikan sebagai acuan pemilihan jurusan bagi calon siswa. Data yang akan diuji terdiri dari tujuh kriteria dengan enam alternatif, data tersebut di analisis dengan metode Weight Aggregated Sum Product Assesment (WASPAS) dan metode Multi Objective Optimization on the basis of Ratio Analysis (MOORA). Hasil pengujian dari kedua metode memberikan rekomendasi yang sama yaitu terpilihnya Jurusan Teknik Instalansi Tenaga Listrik sebagai nilai prefensi tertinggi yang sesuai dengan bakat dan minat calon siswa berdasarkan data uji. Jika dilihat dari waktu eksekusi analisa perhitungan, maka metode WASPAS membutuhkan waktu eksekusi yang lebih cepat dibandingkan metode MOORA. Akurasi dari kedua metode yang digunakan memberikan hasil yang sama yaitu 50%. Jadi bisa disimpulkan bahwa metode WASPAS maupun MOORA cukup baik dan memberikan solusi atas permasalahan dalam menilai dan mengevaluasi jurusan yang sesuai dengan bakat dan minat calon siswa.   Kata kunci— Sistem Pengambilan Keputusan, WASPAS, MOORA, Pemilihan Jurusan.

Student Admission Assesment using Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA)

2018 ◽  
Author(s):  
Rivalri Kristianto Hondro ◽  
Mesran Mesran ◽  
Andysah Putera Utama Siahaan
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Selection Process ◽  
Initial Step ◽  
Optimization Method ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Prospective Students ◽  
Multi Objective

Procurement selection process in the acceptance of prospective students is an initial step undertaken by private universities to attract superior students. However, sometimes this selection process is just a procedural process that is commonly done by universities without grouping prospective students from superior students into a class that is superior compared to other classes. To process the selection results can be done using the help of computer systems, known as decision support systems. To produce a better, accurate and objective decision result is used a method that can be applied in decision support systems. Multi-Objective Optimization Method by Ratio Analysis (MOORA) is one of the MADM methods that can perform calculations on the value of criteria of attributes (prospective students) that helps decision makers to produce the right decision in the form of students who enter into the category of prospective students superior.

scholarly journals Sistem Bantu untuk Pengrajin dalam Menentukan Kayu Terbaik Terbaik untuk Bahan Gitar dengan Menggunakan Matode Moora

2021 ◽  
Vol 8 (6) ◽  
pp. 1177
Author(s):  
Tundo Tundo ◽  
Wisnu Dwi Nugroho
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
A Value ◽  
Wood Grain ◽  
The Right ◽  
Moora Method

<p>Penelitian ini bertujuan untuk membantu pengrajin kayu di Dongkelan, Krapyak, Yogyakarta dalam menentukan kayu terbaik untuk dijadikan sebagai bahan gitar, karena sering terjadi keluhan dari para pembeli bahwa bahan yang dijadikan bahan gitar cepat lapuk dan kusam dari segi warnah. Berdasarkan permasalahan tersebut, dicari suatu solusi dengan menggunakan metode <em>Decision Support System</em> <em>Multi Objective Optimization on the basic of Ratio Analysis</em><em> </em>(MOORA) serta dibantu oleh pakar dalam menentukan kriteria yang tepat berkaitan penentuan kayu terbaik yang digunakan dalam pembuatan bahan gitar, setelah berdiskusi panjang ditemukan hasil kriteria yang tepat berdasarkan permasalahan, berupa kriteria kekuatan kayu, serat kayu, tekstur, dan berat kayu. Semua kriteria tersebut, kemudian diproses dengan menggunakan metode MOORA, dengan data yang digunakan sebanyak 29 jenis data kayu, yang diperoleh dari pengrajin yang ada di wilayah tersebut. Setelah diproses, diperoleh hasil 3 kayu terbaik yang layak untuk digunakan sebagai bahan pembuatan gitar secara berurutan dalah kayu Bubinga dengan nilai 18,36785, kayu Bocote dengan nilai 17,33385, dan kayu Eboni dengan nilai 17,33385   dari beberapa pilihan alternatif  kayu yang ada. Membuktikan hasil dari metode MOORA<em>, </em>maka dilakukan responden secara langsung dengan memberikan hasil metode kepada pakar pembuat gitar. Dari 15 pakar pembuat gitar, 13 mengatakan setuju dengan peringkat 3 terbesar, dan 2 mengatakan kurang setuju. Sehingga ditemukan tingkat akurasi berdasarkan penilaian pakar sebesar 86,67 %.</p><p> </p><p><strong>Abstract</strong></p><div><p><em>This study aims to assist wood craftsmen in Dongkelan, Krapyak, Yogyakarta in determining the best wood to be used as guitar material, because there are frequent complaints from buyers that the material used for guitar is rotten quickly and is dull in terms of color. Based on these problems, a solution was sought using the Multi Objective Optimization on the basic of Ratio Analysis (MOORA) Decision Support System method and assisted by experts in determining the right criteria related to determining the best wood used in making guitar materials, after a long discussion found the results. the right criteria based on the problem, in the form of wood strength criteria, wood grain, texture, and wood weight. All of these criteria are then processed using the MOORA method, with the data used as much as 29 types of wood data, which are obtained from craftsmen in the area. After processing, the 3 best woods that are suitable for use as a guitar-making material are Bubinga wood with a value of 18.36785, Bocote wood with a value of 17.333385, and Eboni wood with a value of 17.333385 from several alternative wood choices. . Proving the results of the MOORA method, the respondents directly gave the results of the method to guitar-making experts. Of the 15 expert guitar makers, 13 said they agreed with the third largest ranking, and 2 said they disagreed. So that it found the level of accuracy based on expert judgment of 86.67%. </em></p></div><p><strong><br /></strong></p>

Exploring governments' role in mergers and acquisitions using IVIF MULTIMOORA-COPRAS technique

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Evans Opoku-Mensah ◽  
Yuming Yin ◽  
Love Offeibea Asiedu-Ayeh ◽  
Dennis Asante ◽  
Priscilla Tuffour ◽  
...  
Keyword(s):  
Assessment Method ◽  
Ratio Analysis ◽  
Multi Objective Optimization ◽  
Government Officials ◽  
Content Type ◽  
Training Support ◽  
Multi Objective ◽  
Tax Relief ◽  
Specific Order ◽  
The Government

PurposeExisting studies have found that most merger and acquisition (M&A) activities do not create the intended synergy. These studies have mainly investigated how firms' internal factors contribute to M&A successes or failures. The current study differs from the earlier ones by exploring how governments' activities can contribute to the creation of acquisition synergy.Design/methodology/approachA novel technique based on multi-objective optimization by ratio analysis and complex proportional assessment method under an interval-valued intuitionistic fuzzy (IVIF) environment is proposed to prioritize these government roles needed during the M&A process focusing on the Chinese M&A market.FindingsEnactments of regulations and loan guarantees are the most important strategies to help Chinese acquirers overcome acquisition failures. While tax relief ranks third, government training support ranks fourth. Finally, the result shows that government institutional support is the least to help acquirers overcome acquisition failures.Practical implicationsThe government has a role to play in the acquisition success. Although this study has prioritized governments' role in relative importance order, the authors recommend that governments capable of providing all these strategies should do so without any specific order. However, if otherwise, governments should not neglect the strategies with less weight completely but rather consider reducing capital allocations to such strategies. Moreover, this study shows how firms with stronger business ties with government officials may enjoy success during acquisition activities. The authors recommend that firms intending to make acquisitions develop stronger ties with governments in order to benefits from governments.Originality/valueThis is the first study to develop a theoretical framework showing how government can contribute to M&A success. The study achieves this by extending Keynesian's arguments and identifies five (5) ways in which governments can ensure acquisition success. Second, within fuzzy multi-criteria decision-making (F-MCDM) research, this study is the first to show the applicability of integrated multi-objective optimization by ratio analysis (MULTIMOORA) and complex proportional assessment (COPRAS) techniques in an IVIF environment. The novel methodology proposed in this study offers an insightful research method to future studies focusing on group decision problems.

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.

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