scholarly journals Sensitivity Analysis of Data Normalization Techniques in Social Assistance Program Decision Making for Online Learning

2021 ◽  
Vol 6 (1) ◽  
pp. 49-56
Author(s):  
Edy Budiman ◽  
Unmul Hairah ◽  
Masna Wati ◽  
Haviluddin Haviluddin
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Online Learning ◽  
Social Assistance ◽  
Data Normalization ◽  
Assistance Program

scholarly journals COMPARISON OF LINEAR AND VECTOR DATA NORMALIZATION TECHNIQUES IN DECISION MAKING FOR LEARNING QUOTA ASSISTANCE

2021 ◽  
Vol 4 (1) ◽  
pp. 22
Author(s):  
Edy Budiman ◽  
Ummul Hairah
Keyword(s):  
Decision Making ◽  
Online Learning ◽  
Data Normalization ◽  
Multi Criteria Decision Making ◽  
Vector Data ◽  
Vikor Method ◽  
Definite Answer ◽  
The Difference ◽  
Benefit Cost ◽  
Selection Of

Data normalization is essential for all kinds of decision-making problems, and a lot of effort has been spent on the development of normalization models in multi-criteria decision making (MCDM), but despite all this, there is no definite answer to the question: Which is the most appropriate technique?. This paper compares the popular normalization techniques: Linear Normalization (LN) and Vector Normalization (VN) using VIšekriterijumsko KOmpromisno Rangiranje (VIKOR) Method. The beneficiaries dataset of learning quota was collected of 399 students sample through observation (drive-test measurements and online questionnaires) to obtain information on criteria data including attributes in online learning during the Covid-19 pandemic. The ranking results for vector vs linear normalization show how ranking is affected. The difference in the selection of the best alternative (rank) shows that there are differences in vector and linear assessments that are influenced by the max-min criterion value which has an impact on the rank- sum results (benefit/cost). This test clearly shows how important it is to use an appropriate (normalized) representation of the model because there will often be a criterion where "the higher the better" while for others (cost) "the lower the better".

Prince Kola Beverages Limited (PKBL)

2021 ◽  
Vol 18 (2) ◽  
pp. 156-159
Author(s):  
Shazib E. Shaikh
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Online Learning ◽  
Scenario Analysis ◽  
Management System ◽  
Middle Managers ◽  
Business Students ◽  
Microsoft Excel ◽  
Spreadsheet Modelling ◽  
Undergraduate Business Students

Prince Kola Beverages Limited (PKBL) is an introduction-level decision modelling case that aims to help develop what-if analysis and spreadsheet modelling skills. It has already been taught in three cohorts of my executive course customized for Coca Cola Beverages Pakistan (CCBPL) Limited middle managers, ‘Data Savvy Decision-Making’, and was warmly received. It is also suitable for both MBA and undergraduate business students. The problem involves using elementary forecasting, scenario analysis and sensitivity analysis without the complexity of statistics. This was also part of a 4-hour session in executive courses that included in-lab trainings on Microsoft Excel what-if analysis tools. For 80–90-minute sessions, students must have already been equipped with these tools. Additionally, it would be better to have the spreadsheets of students submitted by an online learning management system in advance of the class so that their models can be displayed in class and debated.

scholarly journals Decision Optimization: Internet Data Assistance for Students during Learning from Home

2020 ◽  
Vol 9 (11) ◽  
pp. 372-378
Keyword(s):  
Decision Making ◽  
Online Learning ◽  
Teaching And Learning ◽  
Rank Order ◽  
Optimization Method ◽  
Test Method ◽  
Weighting Method ◽  
Assistance Program ◽  
Average Value ◽  
Data Usage

The teaching and learning process during the Covid-19 pandemic made it difficult for students to provide internet data packages for access online learning media from home. An internet assistance program policy is provided to support student online learning. In order for the distribution of internet data to students is objective and proportion, for that reason, measuring the amount of data usage and then used in decision making. The method used in measuring data usage is the Drive-test method for incoming and outgoing data bandwidth. As for the analysis of data assistance decision making using the optimization method and the Rank Order Cendroid (ROC) weighting method for each criterion. Measurement results of internet data usage obtained an average value of 407MB-1.0GB per hour with 40 participants in the group. The results of the decision making analysis method for internet data assistance obtained the highest optimization value obtained by 0.40117 with a weighted ROD value of 0.4667. The research study on internet data usage and optimization of decision-making methods is a case study in the Computing classification field: networks and applied computing. Both are implemented in management optimization internet data assistance to students.

scholarly journals (In)consistency of the Selection of the Method of Multiplicative Decision-Making

2018 ◽  
Vol 16 (29) ◽  
Author(s):  
Katarina Račić ◽  
Željko Račić
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Empirical Data ◽  
Likert Scale ◽  
Decision Makers ◽  
Data Normalization ◽  
Potential Impact ◽  
Weight Coefficients ◽  
Selection Of

The paper analyzes the main causes of the (in)consistency of the selected method of multiplicative decision-making: data normalization, weight coefficients and the application of the Likert scale for the purpose of measuring quantitative attributes. Normalized data in the methods of multitributive decision making represents the substitute for a subjective attribute ratings by decision makers. Since they are calculated on the basis of mathematical transformations of empirical data, one gains the impression that the choices basen on normalized values are „objective”. Therefore, the sensitivity analysis of the results has dealt exclusively with effects of weight coefficients on the final choices so far, while the potential impact of normalization is complitely ignored; meanwhile, the deformations caused by the normalization of data have been attributed to the effects of weight coefficients and their inevitable subjectivism. We intent to point out at the deformations of empirical values that are the result of normalization and which call into question the application of normalized values as a deci-sion base. It can be proven that the normalized values are an unrealiableinformation base for decision-making. In addition, the (in)consistency ofselection methods of multi-attributive decision-making is also influencedby changes in the method of measuring and formulating attributes.

scholarly journals Multiple-Criteria Decision-Making and Sensitivity Analysis for Selection of Materials for Knee Implant Femoral Component

Materials ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2084
Author(s):  
Raman Kumar ◽  
Rohit Dubey ◽  
Sehijpal Singh ◽  
Sunpreet Singh ◽  
Chander Prakash ◽  
...  
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Femoral Component ◽  
Human Life ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
Biomedical Science ◽  
Human Beings ◽  
Weighted Sum Method ◽  
Selection Of

Total knee replacement (TKR) is a remarkable achievement in biomedical science that enhances human life. However, human beings still suffer from knee-joint-related problems such as aseptic loosening caused by excessive wear between articular surfaces, stress-shielding of the bone by prosthesis, and soft tissue development in the interface of bone and implant due to inappropriate selection of TKR material. The choice of most suitable materials for the femoral component of TKR is a critical decision; therefore, in this research paper, a hybrid multiple-criteria decision-making (MCDM) tactic is applied using the degree of membership (DoM) technique with a varied system, using the weighted sum method (WSM), the weighted product method (WPM), the weighted aggregated sum product assessment method (WASPAS), an evaluation based on distance from average solution (EDAS), and a technique for order of preference by similarity to ideal solution (TOPSIS). The weights of importance are assigned to different criteria by the equal weights method (EWM). Furthermore, sensitivity analysis is conducted to check the solidity of the projected tactic. The weights of importance are varied using the entropy weights technique (EWT) and the standard deviation method (SDM). The projected hybrid MCDM methodology is simple, reliable and valuable for a conflicting decision-making environment.

scholarly journals Complex T-spherical fuzzy Dombi aggregation operators and their applications in multiple-criteria decision-making

2021 ◽  
Author(s):  
Faruk Karaaslan ◽  
Mohammed Allaw Dawood Dawood
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Fuzzy Set ◽  
Multiple Criteria Decision Making ◽  
Aggregation Operators ◽  
Multi Criteria Decision Making ◽  
Two Dimensional ◽  
Weighted Arithmetic ◽  
Mcdm Method ◽  
Dombi Operations

AbstractComplex fuzzy (CF) sets (CFSs) have a significant role in modelling the problems involving two-dimensional information. Recently, the extensions of CFSs have gained the attention of researchers studying decision-making methods. The complex T-spherical fuzzy set (CTSFS) is an extension of the CFSs introduced in the last times. In this paper, we introduce the Dombi operations on CTSFSs. Based on Dombi operators, we define some aggregation operators, including complex T-spherical Dombi fuzzy weighted arithmetic averaging (CTSDFWAA) operator, complex T-spherical Dombi fuzzy weighted geometric averaging (CTSDFWGA) operator, complex T-spherical Dombi fuzzy ordered weighted arithmetic averaging (CTSDFOWAA) operator, complex T-spherical Dombi fuzzy ordered weighted geometric averaging (CTSDFOWGA) operator, and we obtain some of their properties. In addition, we develop a multi-criteria decision-making (MCDM) method under the CTSF environment and present an algorithm for the proposed method. To show the process of the proposed method, we present an example related to diagnosing the COVID-19. Besides this, we present a sensitivity analysis to reveal the advantages and restrictions of our method.

Sensitivity analysis for decision-making using the MORE method—A Pareto approach

2009 ◽  
Vol 94 (7) ◽  
pp. 1229-1237 ◽  
Author(s):  
Jakin K. Ravalico ◽  
Holger R. Maier ◽  
Graeme C. Dandy
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis

D. Perhitungan HPP Telur Asin Dengan Pendekatan Variabel Costing Pada UD Mulya Jaya

2019 ◽  
Vol 4 (1) ◽  
pp. 30
Author(s):  
Neno Pratiwi ◽  
Andre Setiawan ◽  
Ilmi Cayono ◽  
Johan Trinanto
Keyword(s):  
Decision Making ◽  
Production Process ◽  
Raw Materials ◽  
Selling Price ◽  
Assistance Program ◽  
Total Cost ◽  
Cost Of Production ◽  
The Cost ◽  
A Company ◽  
Important Objective

ABSTRAK Pada umumnya harga pokok produksi dalam akuntansi diartikan dengan jumlah biaya dari seluruh pemakaian yang telah dilakukan selama proses produksi atau kegiatan yang mana mengubah bahan baku menjadi produk jadi (produk siap pakai/siap saji). Tujuan penting dalam tugas ini yaitu memperhitungkan harga pokok produksi dari UD Mulya Jaya dengan menggunakan pendekatan variabel costing untuk mengetahui besarnya harga pokok pada setiap produk yang diproduksi. Pentingnya penentuan harga pokok produksi dapat dilakukan sebelum para usaha menentukan harga jual. Pendampingan ini bertujuan untuk membantu mencari dan menentukan harga pokok produksi yang dapat digunakan untuk menetapkan harga jual. Pendampingan ini dilakukan untuk membantu wirausaha dalam program kerja, yaitu bimbingan akuntansi dengan fokus perhitungan harga pokok produksi. Dalam menentukan harga pokok produksi pada UD Mulya Jaya dapat menggunakan pendekatan variable costing yang biasanya metode ini digunakan untuk semacam pengambilan keputusan dalam perusahaan. Melalui program pendampingan kewirausahaan didapatkan hasil perhitungan harga pokok produksi yang menggunakan pendekatan variabel costing. Hasil tersebut dapat menjadi suatu keputusan bagi UD Mulya Jaya untuk dapat menetapkan harga pokok produksi pada setiap produk telur asin. Kata Kunci : Kewirausahaan, HPP, Harga.   ABSTRACT In general, the cost of production in accounting is defined as the total cost of all uses that have been made during the production process or activities which convert raw materials into finished products (ready-to-use / ready-to-serve products). An important objective in this task is to calculate the cost of goods manufactured from UD Mulya Jaya by using a variable costing approach to find out the cost of goods on each product produced. The importance of determining the cost of production can be done before businesses determine the selling price. This assistance aims to help find and determine the cost of production that can be used to set the selling price. This assistance is carried out to help entrepreneurs in work programs, namely accounting guidance with a focus on calculating the cost of production. In determining the cost of production at UD Mulya Jaya, it can use the variable costing approach, which is usually used for a kind of decision making in a company. Through the entrepreneurship assistance program, the results of the calculation of the cost of production are obtained using the variable costing approach. These results can be a decision for UD Mulya Jaya to be able to set the cost of production for each salted egg product. Keywords: Entrepreneurship, COGS, Price

Sign in / Sign up

Export Citation Format

Share Document