scholarly journals Determination of Alternative Design of Hornbill Estuary Embankment in Semarang City with Process Hierarchy Analysis Method

2022 ◽  
Vol 955 (1) ◽  
pp. 012003
Author(s):  
Y Purbangsa ◽  
S I Wahyudi ◽  
A Rochim
Keyword(s):  
Decision Making ◽  
River Estuary ◽  
Alternative Design ◽  
Design Alternatives ◽  
Hierarchy Analysis ◽  
Alternative Designs ◽  
Hierarchy Process ◽  
Soil Level ◽  
Selection Of

Abstract Rob’s condition in Semarang is exacerbated by the decrease in the soil level which has a part in the expansion of rob puddles. Therefore, this research is needed to determine the alternative design of the Tenggang River estuary embankment. Researchers collect data with interviews and surveys, then made analysis with Analytical Hierarchy Process (AHP) method which is one of the decision making models in the selection of Embankment Design, the levee design consists of three selected design alternatives. This research focused on decision making based on perceptions of Professionals, Experts, Academics and community leaders.. Where the design of the Embankment consists of 3 alternative designs with priority factors based on analysis and equations of the criteria in the selection of the design, namely, topographic factors (0.133), geology (0.312), hydrology (0.125), Society (0.186), cost (0.113) and benefit (0.131).

scholarly journals Determination Of Lecturer Reception Using Analytical Hierarchy Process (AHP)

2020 ◽  
Vol 1 (2) ◽  
pp. 136-141
Author(s):  
Hafizah Hanim ◽  
Jefril Rahmadoni
Keyword(s):  
Decision Making ◽  
Hierarchical Structure ◽  
Analytical Hierarchy Process ◽  
Structure Calculation ◽  
Decision Making Process ◽  
Extra Time ◽  
Hierarchy Process ◽  
Selection Of ◽  
Process Method

During this time, the selection of non permanent lecturers, parts staffing difficulties in selecting lecturers. The obstacle faced is the large number of applicants who register to become prospective lecturers. So that the staffing or the campus must give extra time to choose prospective lecturers so that lecturers can be obtained that fit the desired criteria. The AHP (Analytical Hierarchy Process) method is a method in the decision-making process, this method performs a hierarchical structure calculation where the top level in the hierarchy is the goal to be achieved then the hierarchy below in the form of criteria in achieving goals and the lowest level is the alternatives in achieving goals.

DETERMINING THE DESALINATION UNIT COMPOSITION FOR COSTAL AREAS AND SMALL ISLANDS USE ANALYTIC HIERARCHY PROCESS

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Demand ◽  
Pairwise Comparison ◽  
Small Islands ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Comparison Research ◽  
Hierarchy Process ◽  
Selection Of

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

Multi-objective optimization for safety and reliability trade-off: Optimization and results processing

2018 ◽  
Vol 232 (6) ◽  
pp. 661-676
Author(s):  
Cristina Johansson ◽  
Johan Ölvander ◽  
Micael Derelöv
Keyword(s):  
Decision Making ◽  
Solid Base ◽  
Multi Objective Optimization ◽  
Specific System ◽  
Multi Objective ◽  
Trade Offs ◽  
Design Alternatives ◽  
Safety And Reliability ◽  
Potential Issue ◽  
Selection Of

In early design phases, it is vital to be able to screen the design space for a set of promising design alternatives for further study. This article presents a method able to balance several objectives of different mathematical natures, with high impact on the design choices. The method (MOSART) handles multi-objective optimization for safety and reliability trade-offs. The article focuses on optimization problem approach and processing of results as a base for decision-making. The output of the optimization step is the selection of specific system elements obtaining the best balance between the targets. However, what is a good base for decision can easily transform into too much information and overloading of the decision-maker. To solve this potential issue, from a set of Pareto optimal solutions, a smaller sub-set of selected solutions are visualized and filtered out using preference levels of the objectives, yielding a solid base for decision-making and valuable information on potential solutions. Trends were observed regarding each system element and discussed while processing the results of the analysis, supporting the decision of one final best solution.

scholarly journals Selection of the Best Lecturer in Management Forum Indonesia Chapter DKI Jakarta with Analytical Hierarchy Process (AHP) Method

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 619-625
Author(s):  
Faroman Syarief ◽  
Rustam Effendi ◽  
Amrillah Azrin ◽  
Imam Suroso ◽  
Dhian Tyas Untari
Keyword(s):  
Decision Making ◽  
Community Service ◽  
Analytical Hierarchy Process ◽  
Scientific Development ◽  
Literature Study ◽  
Management Forum ◽  
Decision Making System ◽  
Hierarchy Process ◽  
Selection Of ◽  
Process Method

This study aims to be able to provide recommendations in the decision-making system related to the best lecturers at the Jakarta Chapter of the Indonesian Management Lecturer Forum. It is hoped that the research results can be used as input in the Best Lecturer decision making system with a more systematic system. This research was conducted through interviews, questionnaires and literature study related to the Lecturer profession. In the field, the assessment criteria are still rough, therefore this study must include all the criteria into the mechanism, rules, and codes. Analysis, each criterion is analyzed using the AHP (Analytical Hierarchy Process) method in weighting. The cumulative results of the recapitulation of scores show that teaching is still a top priority in the implementation of the Tridaharma of Lecturers, after that the second priority is research, then community service and finally support in the form of participation in supporting activities and scientific development.

scholarly journals Sistem Pendukung Keputusan Penerimaan Pegawai pada Universitas Ekasakti Menggunakan Metode AHP

2019 ◽  
Vol 8 (1) ◽  
pp. 45-54
Author(s):  
M Ilham A Siregar ◽  
Danyl Mallisza ◽  
Wahyuni Yahyan ◽  
Harry Setya Hadi
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Selection Process ◽  
Dynamic Logic ◽  
New Employees ◽  
System Method ◽  
New Employee ◽  
Decision Making System ◽  
Hierarchy Process ◽  
Selection Of

Private companies, government agencies and educational institutions are still experiencing difficulties in selecting employees / employees who are in accordance with their needs and experts in their respective fields. With the increasing number of workers who have different abilities, recruiting new employees requires selection of prospective employees at Ekasakti University, because if this is done manually, it will make it difficult for the staff to receive and also be prone to mistakes in decision making. The decision making system method (Decisions Support System) can be used to help the selection of new employee recipients with the AHP Method. Selection of new employee admissions by the AHP (Analytical Hierarchy Process) method can help solve the case of selecting employee recruitment. The model of applying dynamic logic applied in the AHP (Analytical Hierarchy Process) has the advantage that the selection process provides very flexible results

Material Selection Decision-Making Method for Multi-material Lightweight Automotive Body Driven by Performance

2021 ◽  
pp. 146442072110556
Author(s):  
Dengfeng Wang ◽  
Shenhua Li
Keyword(s):  
Decision Making ◽  
Material Selection ◽  
The Body ◽  
Analytic Hierarchy ◽  
Weighting Method ◽  
Lightweight Material ◽  
Automotive Body ◽  
Selection Decision ◽  
Hierarchy Process ◽  
Selection Of

This work proposes a material selection decision-making method for multi-material lightweight body driven by performance to achieve that the right materials are used for the correct positions of the automotive body. The internal relationship between performance and mass, cross-sectional shape, wall thickness parameters, and material properties of a thin-walled structure is studied. The lightweight material indices driven by performance are then established. The lightweight material indices and material price are taken as the decision-making criteria for the material selection of automotive body components. A hybrid weighting method integrated with the analytic hierarchy process, fuzzy analytic hierarchy process, and quality function deployment is proposed. The difficulty of quantitatively evaluating the performance requirements of different components of the body is solved using the proposed weighting method combined with the numerical analytical results of the component performance under multiple operating conditions of the automotive body. Then, the weight of the decision-making criteria for material selection is calculated. Grey relational analysis is used to make multicriteria decision-making on a variety of candidate materials to select the best material for body components. After the lightweight material selection of the front longitudinal beam of the automotive body, the frontal collision safety performance of the body is effectively improved, and the mass of the front longitudinal beam is reduced by 45%. Material selection result of the front longitudinal beam indicates that the proposed material selection decision-making method can effectively achieve the fast material selection of components in different positions of the body.

Dynamic QoS-Aware Cloud Service Selection Using Best-Worst Method and Timeslot Weighted Satisfaction Scores

2020 ◽  
Author(s):  
Falak Nawaz ◽  
Naeem Khalid Janjua
Keyword(s):  
Decision Making ◽  
Service Selection ◽  
Cloud Service ◽  
Cloud Services ◽  
Satisfaction Score ◽  
Analytic Hierarchy ◽  
Hierarchy Process ◽  
Best Worst Method ◽  
Selection Of

Abstract The number of cloud services has dramatically increased over the past few years. Consequently, finding a service with the most suitable quality of service (QoS) criteria matching the user’s requirements is becoming a challenging task. Although various decision-making methods have been proposed to help users to find their required cloud services, some uncertainties such as dynamic QoS variations hamper the users from employing such methods. Additionally, the current approaches use either static or average QoS values for cloud service selection and do not consider dynamic QoS variations. In this paper, we overcome this drawback by developing a broker-based approach for cloud service selection. In this approach, we use recently monitored QoS values to find a timeslot weighted satisfaction score that represents how well a service satisfies the user’s QoS requirements. The timeslot weighted satisfaction score is then used in Best-Worst Method, which is a multi-criteria decision-making method, to rank the available cloud services. The proposed approach is validated using Amazon’s Elastic Compute Cloud (EC2) cloud services performance data. The results show that the proposed approach leads to the selection of more suitable cloud services and is also efficient in terms of performance compared to the existing analytic hierarchy process-based cloud service selection approaches.

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