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 Selection of Industrial Robots for Automation Applications in Multiple Attribute Decision Making Environment using the Analytical Network Process

2018 ◽  
Vol 7 (3.12) ◽  
pp. 392 ◽  
Author(s):  
N Rishi Kanth ◽  
A Srinath ◽  
J Suresh Kumar
Keyword(s):  
Decision Making ◽  
Multiple Attribute Decision Making ◽  
Industrial Robots ◽  
Decision Makers ◽  
Analytical Network Process ◽  
Multiple Attribute ◽  
Network Process ◽  
Complex Relationships ◽  
Robot Selection ◽  
Selection Of

Analytical Network process (ANP), is applied here as a decision making technique for the selection of appropriate robots for industrial and automation applications. The core motivation of applying, in particular, the ANP technique is that robot selection is dependent upon a number of attributes and criteria which have strong influences/interdependencies upon each other. The ANP, as a multiple attribute decision making (MADM) technique for robot selection, captures the effects of these cross hierarchical dependencies, and appropriately maps the influences within the clusters and between the various alternatives. Simultaneously, the technique does not include the assumption of independence of higher-level elements from lower level elements and about the independence of the elements within a level. First, a set of attributes, which influence the selection of the robots, are identified. Next, using the various steps of ANP, viz., pair wise comparisons matrices and priority vectors determination and the development of the super-matrix the global weights of the attributes with respect to other attributes are determined. The final alternatives are then rated as per the graduated weights of the respective attributes. Thus, a comprehensive solution towards selection of robots enabling the decision-makers to suitably understand the complex relationships of the relevant qualitative and quantitative attributes in the decision-making is obtained. The technique is also illustrated using detailed analysis for a specific case of decision making between three robot suppliers and selection of appropriate robot from alternatives. In order to get more insight into relationships among various attributes and their effect on decision makers, the sensitivity analysis of the results with respect to determinant level attributes is carried out.   

Model for Software Quality Evaluation with Fuzzy Information

2016 ◽  
Vol 13 (10) ◽  
pp. 7394-7398
Author(s):  
Yi-Ding Zhao ◽  
Zhi-Min Li ◽  
Xi-Guang Zhang
Keyword(s):  
Decision Making ◽  
Relative Entropy ◽  
Software Quality ◽  
Quality Evaluation ◽  
Multiple Attribute Decision Making ◽  
Triangular Fuzzy Number ◽  
Ideal Solution ◽  
Software Quality Evaluation ◽  
Relative Closeness ◽  
Multiple Attribute

To study the problem of multiple attribute decision making in which the decision making information values are triangular fuzzy number, a relative entropy decision making method for software quality evaluation is proposed. Then, according to the concept of the relative entropy, the relative closeness degree is defined to determine the ranking order of all alternatives by calculating the relative entropy to both the fuzzy positive-ideal solution (FPIS) and fuzzy negative-ideal solution (FNIS) simultaneously. At last, a numerical example for software quality evaluation is provided to illustrate the proposed method. The result shows the approach is simple, effective and easy to calculate.

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

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