scholarly journals Decision Support System in Choosing The Quality of Charcoal Briquettes from Coconut Shell to Improve The Quality and Maximised by The Method of Analytical Hierarchy Process (the case study in Padang pariaman)

2020 ◽  
Vol 10 (2) ◽  
pp. 199-205
Author(s):  
Ilham Siregar ◽  
Wahyuni Yahyan ◽  
Danyl Mallisza
Keyword(s):  
Coconut Shell ◽  
Plant Oil ◽  
Coconut Charcoal ◽  
Alternate Choice ◽  
West Sumatra ◽  
Decision Making System ◽  
Hierarchy Process ◽  
Selection Of

The regency of Padang Pariaman is one of the centres of the plantation to the plant oil in the region of West Sumatra. Many find various types of plant oil that spread in every area. Decision-Making system (DSS) should be able to understand the problems that exist that are the basis for the decision (the decision Maker) to determine the priority of the selection and determine the type of charcoal coconut charcoal quality to be used as briquettes. This study obtained the top Level (Goal) is the selection of Charcoal Material priorities approved as the purpose of this study. The Level of the heart (the Criterion) in the hierarchy that shows the criteria that the Color of the Skin, Coconut Fiber, Coconut Shell, water Content, Coconut Meat. The lowest Level (Alternatives) in the hierarchy that shows the alternate choice of the Type of Coconut, which is helpful as briquettes, that Old Coconut, Coconut Koreang, Coconut Mudang, Young Coconut. Of the highest rank possessed by the alternatives is the type of Old Coconuts (0.600) and second by the kind of Coconut Koreang 2 (0.242), the Type of Coconut 3 Coconut Mudang (0.113) and ranking low is a Young Coconut (0.046) as a material consideration in the manufacture of charcoal quality then in the analysis, the priority is the “Old Palm”   Keywords: Coconut, Briquettes, Shell, DSS, AHP

scholarly journals Fuzzy Analytical Hierarchy Process Method to Determine the Quality of Gemstones

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Mochammad Sobandi Dwi Putra ◽  
Septi Andryana ◽  
Fauziah ◽  
Aris Gunaryati
Keyword(s):  
Decision Making ◽  
Analytical Hierarchy Process ◽  
Fuzzy Analytical Hierarchy Process ◽  
Ahp Method ◽  
Ahp Model ◽  
Decision Making System ◽  
Hierarchy Process ◽  
Selection Of ◽  
Process Method

The selection of quality gemstones requires a special ability to select and assess the quality of gemstones to be traded. The diversity of types of gemstones and consumers becomes an obstacle in itself when the knowledge and ability of individuals to analyze the quality of gemstones is minimal. The decision-making method used is Fuzzy Analytical Hierarchy Process (F-AHP) method which is widely used in various sectors. F-AHP is easy to adapt to many decision issues; the research proposes a decision-making system using the F-AHP algorithm to analyze the quality of gemstones. The results obtained with the use of F-AHP model in the selection of quality gemstones show the highest quality of gemstones of all stones compared, Rubi 1, with a weight value of 0.152942.

Selection of Malaysia School Youth Cadet Corps leader by using analytical hierarchy process: A case study at SMK Ahmad Boestamam

2017 ◽  
Author(s):  
Nurul Huda Mohamed ◽  
Norhayati Ahmat ◽  
Nurul Akmal Mohamed ◽  
Syazwani Che Razmi ◽  
Nurul Farihan Mohamed
Keyword(s):  
Analytical Hierarchy Process ◽  
Hierarchy Process ◽  
School Youth ◽  
Selection Of

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

scholarly journals Selection of catchment descriptors for the physical similarity approach. Part II: Application

2013 ◽  
Vol 8 (No. 4) ◽  
pp. 186-194
Author(s):  
M. Heřmanovský ◽  
P. Pech
Keyword(s):  
Land Cover ◽  
A Priori ◽  
Model Parameters ◽  
Physical Similarity ◽  
Model Parameter ◽  
Soil Moisture Accounting ◽  
Estimated Parameters ◽  
Selection Of

This paper demonstrates an application of the previously published method for selection of optimal catchment descriptors, according to which similar catchments can be identified for the purpose of estimation of the Sacramento – Soil Moisture Accounting (SAC-SMA) model parameters for a set of tested catchments, based on the physical similarity approach. For the purpose of the analysis, the following data from the Model Parameter Estimation Experiment (MOPEX) project were taken: a priori model parameter sets used as reference values for comparison with the newly estimated parameters, and catchment descriptors of four categories (climatic descriptors, soil properties, land cover and catchment morphology). The inverse clustering method, with Andrews’ curves for a homogeneity check, was used for the catchment grouping process. The optimal catchment descriptors were selected on the basis of two criteria, one comparing different subsets of catchment descriptors of the same size (MIN), the other one evaluating the improvement after addition of another catchment descriptor (MAX). The results suggest that the proposed method and the two criteria used may lead to the selection of a subset of conditionally optimal catchment descriptors from a broader set of them. As expected, the quality of the resulting subset of optimal catchment descriptors is mainly dependent on the number and type of the descriptors in the broader set. In the presented case study, six to seven catchment descriptors (two climatic, two soil and at least two land-cover descriptors) were identified as optimal for regionalisation of the SAC-SMA model parameters for a set of MOPEX catchments.

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.

scholarly journals Strategies for the Development of Smart Cities: The Case of Kalampaka-Greece

2018 ◽  
Vol 5 (1) ◽  
pp. 70
Author(s):  
Christos Stamopoulos ◽  
Eleni Theodoropoulou
Keyword(s):  
Quality Of Life ◽  
Environmental Sustainability ◽  
Smart Cities ◽  
Determining Factors ◽  
Construction Strategies ◽  
The City ◽  
Simple Selection ◽  
Selection Of

The present paper investigates the characteristics and best construction strategies of smart cities around the world, as well as the determining factors of the satisfaction of the quality of life and the importance of the value of environmental sustainability. A case study of the city of Kalampaka and its residents was examined. The survey was conducted between July 2016 and August 2016. The selection of the sample was done by using the method of simple selection and includes a random sample of N=150 individuals. Statistical analysis showed that resident’s knowledge about smart cities was fairly good (48% of sample knew the phrase “smart cities”). Furthermore, they believe that the appearance of the city of Kalampaka needs improvement (75% of sample is disappointed with the current appearance of the city). Regression analysis showed that the value of environmental sustainability is greatly influenced by the energy saving, as well as, innovation has an impact on the level of quality of life. Older people seem to be satisfied with administration’s efforts.

scholarly journals Cold Chain Logistics Management of Medicine with an Integrated Multi-Criteria Decision-Making Method

2019 ◽  
Vol 16 (23) ◽  
pp. 4843 ◽  
Author(s):  
Zhi Wen ◽  
Huchang Liao ◽  
Ruxue Ren ◽  
Chunguang Bai ◽  
Edmundas Kazimieras Zavadskas ◽  
...  
Keyword(s):  
Decision Making ◽  
Multiple Criteria Decision Making ◽  
Cold Chain ◽  
Solution Methods ◽  
Criteria Weights ◽  
Ranking Of Alternatives ◽  
And Storage ◽  
Selection Of

Medicine is the main means to reduce cancer mortality. However, some medicines face various risks during transportation and storage due to the particularity of medicines, which must be kept at a low temperature to ensure their quality. In this regard, it is of great significance to evaluate and select drug cold chain logistics suppliers from different perspectives to ensure the quality of medicines and reduce the risks of transportation and storage. To solve such a multiple criteria decision-making (MCDM) problem, this paper proposes an integrated model based on the combination of the SWARA (stepwise weight assessment ratio analysis) and CoCoSo (combined compromise solution) methods under the probabilistic linguistic environment. An adjustment coefficient is introduced to the SWARA method to derive criteria weights, and an improved CoCoSo method is proposed to determine the ranking of alternatives. The two methods are extended to the probabilistic linguistic environment to enhance the applicability of the two methods. A case study on the selection of drug cold chain logistics suppliers is presented to demonstrate the applicability of the proposed integrated MCDM model. The advantages of the proposed methods are highlighted through comparative analyses.

Human resources ranking in a cloud-based knowledge sharing framework using the quality control criteria

Kybernetes ◽  
2017 ◽  
Vol 46 (5) ◽  
pp. 876-892 ◽  
Author(s):  
Parisa Fouladi ◽  
Nima Jafari Navimipour
Keyword(s):  
Quality Control ◽  
Human Resources ◽  
Hierarchical Structure ◽  
Simple Method ◽  
Content Type ◽  
Quality Control Criteria ◽  
Control Criteria ◽  
Selection Of

Purpose This paper aims to propose a new method for evaluating the quality and prioritizing of the human resources (HRs) based on trust, reputation, agility, expertise and cost criteria in the expert cloud. To evaluate some quality control (QC) factors, a model based on the SERVQUAL is used. Design/methodology/approach The aim of this paper is to offer a fast and simple method for selecting the HRs by the customers. To achieve this goal, the ranking diagram of different HRs based on the different criteria of QC is provided. By means of this method, the customer can rapidly decide on the selection of the required HRs. By using the proposed method, the scores for various criteria are evaluated. These criteria are used in the ranking of each HR which is obtained based on the evaluation conducted by previous customers and their colleagues. First, customers were asked to select their needed criteria and then by constructing a hierarchical structure, the ranking diagram of different HRs is achieved. Using a ranking system based on evaluating the quality of the model, satisfy the customer needs to be based on the properties of HRs. Also, an analytical hierarchical process-based ranking mechanism is proposed to solve the problem of assigning weights to features for considering the interdependence between them to rank the HRs in the expert cloud. Findings The obtained results showed the applicability of the radar graph using a case study and also numerically obtained results showed that a hierarchical structure increases the quality and speed rating of HR ranking than the previous works. Originality/value The suggested ranking method in this paper allows the optimal selection due to the special needs of any given customer in the expert cloud.

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