scholarly journals Pengambilan Keputusan Strategi Pemasaran Terbaik pada PT. Astra International TBK. UD Truck SO Cabang Semarang

2018 ◽  
Vol 1 (1) ◽  
pp. 15-23
Author(s):  
Sania Bunga Pradani Hernanti ◽  
Dwi Eko Waluyo ◽  
Dwi Nurul Izzhati
Keyword(s):  
Marketing Strategy ◽  
Ideal Solution ◽  
Not Given ◽  
Analytical Network Process ◽  
Network Process ◽  
Order Preference ◽  
Topsis Technique ◽  
The Ideal

The sale of UD Truck Quester unit at PT Astra International UD Truck SO Semarang branch does not show any improvement in 2015. This condition even tends to stagnate. Not achieving the target that has been set is an indication that the marketing strategy that is used today has not given optimal results. Therefore, the need for a new marketing strategy that can drive sales in PT Astra International UD Truck SO Semarang branch. Nevertheless, of course the marketing strategy developed will be very diverse and needs to be chosen well so as to give the best results. For this reason we use the Analytical Network Process (ANP) method and also TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) to select the best marketing strategy in choosing the best marketing strategy. The result of this research got the conclusion that best strategy chosen for PT. Astra International UD Truck SO Semarang Branch is a segmentation based on the ideal solution of negative and positive

Determining the optimal human reliability analysis (HRA) method in healthcare systems using Fuzzy ANP and Fuzzy TOPSIS

2020 ◽  
Vol 25 (3) ◽  
pp. 123-133
Author(s):  
Asghar Abbaspour ◽  
Mahnaz Saremi ◽  
Ahmad Alibabaei ◽  
Pedram S Moghanlu
Keyword(s):  
Reliability Analysis ◽  
Medical Errors ◽  
Human Error ◽  
Healthcare Systems ◽  
Ideal Solution ◽  
Optimal Method ◽  
Human Reliability Analysis ◽  
Analytical Network Process ◽  
Network Process ◽  
Order Preference

Purpose As one of the leading causes of deaths and injuries, medical errors constitute a veritable threat to patient safety. Despite this fact, no unique method has yet been established to identify and evaluate medical errors. This study was conducted to select an optimal human reliability analysis method compatible with healthcare systems from available methods. Design/methodology/approach: In order to select the optimal method for the identification and evaluation of medical errors, different criteria and sub-criteria were determined by reviewing the literature and based on experts’ opinions. Next, weights of criteria and sub-criteria were specified by using the fuzzy analytical network process (ANP). Finally, fuzzy technique for order preference by similarity to ideal solution method was used to prioritize the methods. Findings Six criteria and 21 sub-criteria for choosing the optimal method were determined. The utility, usability, and structure of a method had the highest influence with weights of 0.262, 0.191, and 0.187, respectively. Based on the results of fuzzy technique for order preference by similarity to ideal solution, the Human Error Assessment and Reduction Technique method with a closeness coefficient of 0.576 was selected as the optimal method for identifying medical errors. The Human Factors Analysis and Classification System and Systematic Human Error Reduction and Prediction Approach methods ranked second and third, respectively. Originality/value: To date, no studies have attempted to determine the optimal methods for identification and assessment of medical errors. This paper aimed to fill this gap by using fuzzy analytical network process and fuzzy technique for order preference by similarity to ideal solution techniques.

scholarly journals Improving the Guidance Learning (LBB) Consumer Satisfaction in Malang using DANP - TOPSIS method

CAUCHY ◽  
2018 ◽  
Vol 5 (3) ◽  
pp. 117
Author(s):  
Kwardiniya Andawaningtyas ◽  
Endang Wahyu Handamari ◽  
Corina Karim
Keyword(s):  
Decision Making ◽  
Marketing Strategy ◽  
Consumer Satisfaction ◽  
Multiple Attribute Decision Making ◽  
Ideal Solution ◽  
Topsis Method ◽  
Analytical Network Process ◽  
Industrial Services ◽  
Multiple Attribute ◽  
Network Process

Decision analysis of Multiple Attribute Decision Making (MADM) model is used to assess the performance, not only in a rank but also in a plan of marketing strategy as an effort to increase consumers’ satisfaction by combining DEMATEL-based Analytical Network Process (DANP) method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. One of the industrial services in the education nowadays is the services of the Guidance Learning (LBB). This article has 3 alternatives to 6 criteria. The questionnaire was distributed to 80 LBB’ students and 55 LBB’ mentors. The result of the dominant criteria affecting customer satisfaction of LBB in Malang by DANP method is the mentor quality. Meanwhile, the TOPSIS result showed that the LBB of Avicenna Education Malang is the best alternative to the marketing strategy..

scholarly journals SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENERIMAAN MAHASISWA BARU JALUR BEASISWA DENGAN METODE TOPSIS (TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION)

2018 ◽  
Vol 3 (1) ◽  
pp. 1
Author(s):  
M Panji Ismail
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
System Development ◽  
Ideal Solution ◽  
Order Preference ◽  
Negative Ideal Solution ◽  
Written Test ◽  
Topsis Technique ◽  
The Right ◽  
The Ideal

The scholarship path is one of the paths used by the University of Technology Yogyakarta (UTY) in accepting new students. The track consists of seven criteria: school accreditation, family condition, report card score, achievement, written test, interview test. In order to process the criteria, it is necessary to have a Decision Support System (DSS) capable of conducting the scholarship selection process quickly, accurately and objectively. DSS is a system that can perform a decision-making process based on the human mindset. SPK can tolerate any kind of data whether it is certain or uncertain. Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is a Multi-Criteria Decision Making (MCDM) category which is a decision-making technique of some alternative options, especially Multi Attribute Decision Making (MADC). TOPSIS aims to determine the ideal ideal solution and the ideal negative solution of the scholarship criteria. A positive ideal solution maximizes benefit criteria and minimizes cost criteria, whereas a negative ideal solution maximizes cost criteria and minimizes benefit criteria. The research methodology used is SDLC (System Development Life Cycle) and system implementation built using Delphi 7 programming language and data processing using DBMS SQL Server 2012.. The results of the system show that the system provides accurate and valid results in accordance with the data owned by prospective students so that full scholarship can be given in the right target.

scholarly journals KURUMSAL YÖNETİM ENDEKSİ KAPSAMINDAKİ İŞLETMELERİN FİNANSAL PERFORMANS ANALİZİ

2016 ◽  
Vol 4 (2) ◽  
pp. 185-202
Author(s):  
Fatih Temizel ◽  
Hamza Doğan ◽  
Berfu Ece Bayçelebi
Keyword(s):  
Ideal Solution ◽  
Order Preference ◽  
Topsis Technique

Payları Borsa İstanbul’da işlem gören işletmelere Sermaye Piyasası Kurulu (SPK)’nun ilgili tebliğine göre bağımsız derecelendirme kurumlarınca verilen Kurumsal Yönetim İlkelerine Uyum Notu kurumsal yönetim konusunda en başarılı 50 işletmenin belirlenmesini sağlamaktadır. Bu açıdan en başarılı 50 işletme ise fiyat ve getiri analizlerinde yardımcı göstergeler edinmek amacı ile Borsa İstanbul Kurumsal Yönetim Endeksi’ne dâhil edilmektedir. Bu çalışmada Kurumsal Yönetim Endeksi’nde bulunan 50 işletme arasından finans sektörü dışında kalan 34 işletmenin finansal performans sıralaması TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) yöntemi ile elde edilmiştir. TOPSIS yöntemi işletmelere ait 10 adet finansal orana dayalı olarak kullanılmıştır. 2011-2015 yıllarını kapsayan 5 yıl için performans sıralamaları elde edilip yıllar arası sıralama değişimleri incelenmiştir. Son olarak 5 yıllık ortalama performans sıralaması hesaplanarak endeksteki işletmelerin son 5 yıl içerisindeki finansal performans dereceleri ortaya konulmuştur. 

scholarly journals Supplier selection using different metric functions

2015 ◽  
Vol 25 (3) ◽  
pp. 413-423 ◽  
Author(s):  
S.E. Omosigho ◽  
Dickson Omorogbe
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Topsis ◽  
Ideal Solution ◽  
Order Preference ◽  
Metric Functions ◽  
Metric Function ◽  
Topsis Technique ◽  
Intuitionistic Fuzzy Topsis ◽  
Selection Of

Supplier selection is an important component of supply chain management in today?s global competitive environment. Hence, the evaluation and selection of suppliers have received considerable attention in the literature. Many attributes of suppliers, other than cost, are considered in the evaluation and selection process. Therefore, the process of evaluation and selection of suppliers is a multi-criteria decision making process. The methodology adopted to solve the supplier selection problem is intuitionistic fuzzy TOPSIS (Technique for Order Preference by Similarity to the Ideal Solution). Generally, TOPSIS is based on the concept of minimum distance from the positive ideal solution and maximum distance from the negative ideal solution. We examine the deficiencies of using only one metric function in TOPSIS and propose the use of spherical metric function in addition to the commonly used metric functions. For empirical supplier selection problems, more than one metric function should be used.

scholarly journals BULANIK TOPSIS YÖNTEMİYLE TÜRKİYE’NİN YERLİ OTOMOBİLİ İÇİN EN UYGUN FABRİKA YERİNİN SEÇİMİ

2019 ◽  
Vol 7 (4) ◽  
pp. 1427-1445 ◽  
Author(s):  
Aytaç YILDIZ ◽  
Yunus DEMİR
Keyword(s):  
Ideal Solution ◽  
Order Preference ◽  
Topsis Technique

Girişimciler için, hangi sektörde faaliyet göstermelerinin yanı sıra işletmeyi nereye kuracakları da önemlidir. Çünkü yanlış bir karardan dolayı uygun olmayan bir yere işletmenin kurulması yüksek maliyetlere, nitelikli işgücüne sahip olamama ve yeterli sayıda müşteriye ulaşamama gibi sorunlara sebep olabilir. Yer seçimi problemi, içerisinde birçok kriteri ve belirsizliği barındıran, bundan dolayı da bulanık bir davranış sergileyen bir karar problemidir. Bu gibi karar problemlerinin çözümünde Çok Kriterli Karar Verme (ÇKKV) gibi bilimsel yöntemlerin kullanılması karar vericilere kolaylık sağlamaktadır. Bu çalışmada, Türkiye için stratejik bir öneme sahip yerli otomobil üretimi için en uygun yerin seçilmesi amaçlanmış ve bu amaç için bulanık ortamlarda karar vermeyi kolaylaştıran bulanık TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) yöntemi kullanılmıştır. Yedi alternatif yer (Kocaeli, Bursa-Gemlik, Sakarya, Konya, İzmir-Aliağa, Adana ve Eskişehir) literatür taraması neticesinde belirlenen beş ayrı kritere göre (ekonomik, coğrafi konum, altyapı, teknik ve sosyal özellik) değerlendirilmiştir. Çalışma sonunda yakınlık katsayısı en yüksek olan Bursa-Gemlik alternatifi, yerli otomobil için en uygun fabrika yeri olarak belirlenmiştir.

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