scholarly journals SISTEM PENDUKUNG KEPUTUSAN REKOMENDASI PEMILIHAN SMARTPHONE TERBAIK MENGGUNAKAN METODE TOPSIS

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Anggi Eryzha ◽  
Solikhun Solikhun ◽  
Eka Irawan
Keyword(s):  
Ideal Point ◽  
Lower Class ◽  
Topsis Method ◽  
Multicriteria Method ◽  
Competitive Prices ◽  
Consumptive Behavior ◽  
Point Distance ◽  
The Right ◽  
Selection Of ◽  
The Ideal

Smartphones are a primary need for all upper class and lower class people. As these needs are many smartphone vendors that offer different prices, features, systems and technologies at competitive prices. Many people want specifications that are capable but limited in financial terms. This causes smartphone users not to be able to make the right choice according to their needs because the frequent selection of smartphones is based on prestige and consumer consumptive behavior. The TOPSIS method is a multicriteria method used to identify solutions from alternative sets based on simultaneous minimization of the ideal point distance and maximizing the distance from the lowest point. The expected results can be input to potential smartphone buyers in accordance with their finances and qualified specifications.Keywords: Decision Support System, Topsis Method, Smartphone.

The Optimization of Mechanized Earthwork Processes

2016 ◽  
Vol 820 ◽  
pp. 96-101 ◽  
Author(s):  
Lucia Paulovičová
Keyword(s):  
Mathematical Modeling ◽  
Mathematical Models ◽  
Decision Maker ◽  
Multicriteria Optimization ◽  
Optimization Process ◽  
Multicriteria Method ◽  
Wise Decision ◽  
The Right ◽  
The Cost ◽  
Selection Of

Earthwork processes are the most costly and time consuming component of construction these days and they are characterized by a powerful heavy mechanization which participate on the earthwork process. Current pressure for minimize the cost and maximize the productivity highlights the need to optimize earthworks. In this paper, the optimization process in the area of earthwork processes is described. The selection of the right types of machines for earthwork and its implements has become very difficult these days because of availability of variety of machines models and therefore a multicriteria method is presented to tackle the problem. This paper describes methodology for optimizing the earthwork process according to the selected optimal criteria. The methodology is focused on the proposal phase of optimization where the decision maker has to make a decision and choose the right type of excavators. To overcome the problem of comparing the chosen machines a mathematical modeling approach leading to multicriteria optimization was adopted to make the step wise decision. The methodology gives an mathematical models by which we can solve this problem.

scholarly journals Seleksi Penyerang Utama Menggunakan K-Means Clustering Dan Sistem Pendukung Keputusan Metode Topsis

2017 ◽  
Vol 2 (1) ◽  
pp. 37-48
Author(s):  
Renenata Ardilesmana Siregar
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Selection Process ◽  
Ideal Solution ◽  
Major Player ◽  
The Right ◽  
Selection Of ◽  
The Ideal

Untuk  menentukan penyerang ideal dalam sepak bola agar sesuai karakter dan kriteria yang diharapkan,  diperlukan  pelatih  yang  mempunyai naluri  tajam  dan  juga  sistem  yang  bisa membantu pelatih dalam memberikan pilihan. Biasanya dalam proses penentuan pemain masih dilakukan  secara  manual dengan melihat dari karakter dan kriteria dari pemain tersebut. Tetapi terkadang hanya dengan melihat dari karakter dan kriteria dari pemain tersebut saja masih kurang cukup sehingga jauh dari apa yang diharapkan. Untuk  mempermudah dalam pemilihan penyerang ideal, maka diperlukan suatu sistem yang dapat membantu pelatih untuk  memilih penyerang yang dibutuhkan sesuai dengan kebutuhan tim yaitu dengan menggunakan teknik K-Means Clustering dalam metode data mining sebagai proses dalam menyeleksi pemain untuk bergabung  dalam  suatu  tim  dan  juga  didukung  dengan  metode  Sistem  Pendukung Keputusan (Decision Support Systems) The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) sebagai proses dalam menentukan penyerang yang akan bermain sebagai pemain utama dalam tim yang menggunakan beberapa kriteria untuk  memilih pemain yang tepat. Dengan hasil penelitian ini, diharapkan dapat membantu pelatih dalam proses seleksi pemain dan dapat mengubah cara penilaian terhadap sifat subjektif agar lebih obyektif dalam pengambilan keputusan. Kata Kunci :Data Mining, K-Means Clustering, Sistem Pendukung Keputusan To  determine  the  ideal  attacker  in football to match the expected character and criteria, a  coach who has a sharp instinct and a system that can assist the coach in providing choices. Usually  in  the  process  of  determining  the  player  is  still  done  manually  by  look ing  at  the characters  and  criteria  of  the  player.  But  sometimes just by look ing at the characters and criteria of the player is still not enough so far from what is expected. To facilitate the selection of ideal attackers, a system that can help the trainer to select the attacker needed according to the needs of the team is by using K-Means Clustering technique in the method of data mining as a process in selecting players to join a team and also supported by Decision Support Systems method The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is the process of determining which attack er will play as a major player in the team using multiple criteria to select the right player. With the results of this study, it is expected to assist trainers in the selection process of players and can change the way the assessment of the subjective nature to be more objective in decision making. Keywords: Data Mining, K-Means Clustering, Decision Support System.  

An evaluation of input and output of expert systems for selection of material handling equipment

2014 ◽  
Vol 25 (7) ◽  
pp. 1049-1067 ◽  
Author(s):  
Mohsen M.D. Hassan
Keyword(s):  
Expert Systems ◽  
Design Methodology ◽  
Material Handling ◽  
Data Envelopment ◽  
Content Type ◽  
Input And Output ◽  
The Right ◽  
Practical Implications ◽  
Selection Of ◽  
The Ideal

Purpose – The purpose of this paper is to evaluate expert systems (ES) for selection of material handling (MH) equipment on their use of information and generation of equipment, and provide guidelines that can enhance developing them in the future. Design/methodology/approach – Data envelopment analysis (DEA) is used to evaluate efficiency of ES on their use of information and generation of equipment. Characteristics of benchmark ES are identified to serve as guidelines in developing future ES. Findings – Results of DEA indicate that most ES use a large amount of information that does not commensurate with the number and variety of equipment they generate. Research limitations/implications – The ideal MH equipment for a situation is not known whether it is selected by ES or other procedures. Therefore, this study focusses on efficiency of ES in using information to generate MH equipment without regard to whether ES produce the right equipment for a situation or not. Practical implications – Developers of future ES should consider the efficiency of an ES in using information and generation of equipment, in addition to considering its functions and methodologies. They should utilize means similar to those employed by benchmark methodologies and other ones that can be thought of to economize information and generate more number and variety of equipment, and thus render ES more useful to facility designers and manufacturing managers. Originality/value – The paper presents the first evaluation of ES for selection of MH equipment. The evaluation performed should enhance development of future ES in this field, and can be extended to ES in other application domains.

scholarly journals Application of fuzzy technique for order preference by similarity to the ideal solution in the selection of candidates

2012 ◽  
Vol 9 (1) ◽  
pp. 35
Author(s):  
Mohd Ariff Ahmad Taharim ◽  
Liew Kee Kor
Keyword(s):  
Real Life ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Mathematical Form ◽  
Selection Processes ◽  
Proposed Model ◽  
Order Preference ◽  
The Right ◽  
Selection Of ◽  
The Ideal

Selecting the right candidate for the right cause is similar to identifying the most compromising solution of multi-criteria decision making (MCDM) problem. In real life the selection criteriamay involve vague and incomplete data which cannot be expressed in precise mathematical form or numerical values. Apparently fuzzy-based technique can be applied to describe and represent these data in fuzzy numbers. This paper presents a MCDM fuzzy TOPSIS based model designed to solve the selection problemfor allocation of government staff quarters. Result shows that the proposed model is suitable and appropriate. It was also found that the MCDM model which uses single decision maker rating process can also be applied to multiple decision makers. It is recommended that the application of fuzzy TOPSIS can be extended to other selection processes such as vendor selection, training evaluation or group marking of project works.

scholarly journals METHODS OF SYNTHESIS OF TECHNICAL AND ORGANISATIONAL-TECHNOLOGICAL SOLUTIONS IN CONSTRUCTION/SYNTHESEMETHODEN DER TECHNISCHEN UND ORGANISATORISCH-TECHNOLOGISCHEN LÖSUNGEN IM BAUWESEN

1999 ◽  
Vol 5 (4) ◽  
pp. 285-289
Author(s):  
Edmundas K. Zavadskas ◽  
Leonas Ustinovičius
Keyword(s):  
Ideal Point ◽  
Real Life ◽  
Entropy Method ◽  
Point Method ◽  
Selection Problems ◽  
Methods Of Synthesis ◽  
A Priority ◽  
The One ◽  
Selection Of ◽  
The Ideal

Quite frequently one has to solve variant synthesis multicriterial selection problems in construction. These problems consist of many technical-organisational solutions interacting with each other. The solution of each problem can be made of two or more alternatives. In each step k according to j, the effectiveness criterion is selected from variants i. Using the entropy method the weights of effectiveness indices in each step are calculated. By the criterion k(1) the effectiveness of variants in each step is determined. From the row of priorities obtained the first two variants are selected and they are repeatedly calculated by the same methods. The selection of variants (branches) synthesised is made by the criterion Ωs (2). A priority row of variants is determined according to the rule that the greater value of Ωsmeans the best variant (3). The second algorithm is used when there are more than two variants in the steps of problem. A joint matrix between separate steps of solutions is determined. Weights of criteria for each step are determined using the entropy method. It is necessary to regulate the values of importance according the number of variants. The weights obtained by the method of entropy are multiplied by the coefficient considering the number of alternatives analysed (4). The final valuation of branch is obtained according to the formula No 5. The best synthesis result is the one, having the largest Ωs value. The values of criteria effectiveness of each step of each net program branch are summed, when priorities are determined using the same coefficients of effectiveness. The weights are summed using formula 6. It is possible to calculate the priorities of alternatives using the ideal point method. The methods mentioned above were used to solve real life construction problems.

scholarly journals Analisis Pemilihan Vendor Terbaik dalam Pengiriman Produk Minuman dalam Kemasan Menggunakan Metode AHP dan Topsis di PT CS2 Pola Sehat

2020 ◽  
Vol 4 (1) ◽  
pp. 12-19
Author(s):  
Yonathan Yonathan
Keyword(s):  
Supply Chain ◽  
Service Provider ◽  
Topsis Method ◽  
Highest Weight ◽  
Transportation Service ◽  
Weight Value ◽  
The Right ◽  
Delay Factor ◽  
Selection Of

The process of distributing goods is precisely determined from the transportation service provider used. The transportation used will affect a supply chain can be fulfilled properly or not. The decision to choose the right vendor is based on the selection of criteria from each service provider that suits the needs of the company itself. The selection of the wrong criteria will have an impact on the services provided to customers, one of which is the delay factor. Delays that occur are dominated by shipping by land. Analysis of the selection of the right vendor is done by applying the AHP and TOPSIS methods. The criteria used consist of price, quality, delivery, flexibility and reliability. Application of AHP and TOPSIS methods will provide an assessment of each of these vendors so they can determine the best vendor. The selection of the best vendor starts from determining the weight of each predetermined criterion. Each criterion will be correlated with each other which will then be weighted by each criterion. The results of determining the best vendor are obtained with the highest weight value of 0.807 obtained by Japung using the TOPSIS method.

scholarly journals Sistem Pendukung Keputusan Penentuan Penerima Beasiswa pada SMK Madyatama dengan Metode TOPSIS

2017 ◽  
Author(s):  
Ani Sunalia ◽  
Leon Andretti Abdillah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Selection Process ◽  
Topsis Method ◽  
Scholarship Recipients ◽  
Decision Making System ◽  
The Right ◽  
Computerized System ◽  
Selection Of

Data processing in the determination of scholarships in SMK Madyatama to date still use a system that is still manual. Where the absence of a well-computerized system in determining the acceptance of scholarship which then led to the emergence of some problems in this manual system. The problem that often arises is not exactly the distribution of scholarships to students. Problems like this are triggered by the lack of scrutiny of the scholarship selectors in conducting the selection process of the scholarship recipients, which is basically the selection process conducted by teachers from the school itself. The decision-making system at SMK Madyatama will be made using TOPSIS method to determine the right scholarship recipient in accordance with the scholarship recipient criteria. With the decision support system of awarding scholarship recipients at SMK Madyatama Palembang based on this website can help and facilitate the school in evaluating the selection of scholarship receipt.

scholarly journals Multi-criteria for Selection of SmartPhone Brands Product using AHP-TOPSIS Method

SinkrOn ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 154 ◽  
Author(s):  
Akmaludin Akmaludin ◽  
Mohammad Badrul
Keyword(s):  
Topsis Method ◽  
Analytic Hierarchy ◽  
Highest Weight ◽  
Calculation Process ◽  
Overall Performance ◽  
The Right ◽  
Hierarchy Process ◽  
Brand Product ◽  
Criteria For Selection ◽  
Selection Of

Today's communication is very important to do, this can be done by using communication tools that are currently being used by everyone, none other than SmartPhone, so people are competing to get it. Many found difficulties in choosing a SmartPhone Brand Product that suits the wishes of each user from a number of alternatives such as Advance, Xiaomi, OPPO, SAMSUNG, and VIVO, because many criteria must be considered such as memory capacity, battery durability, sharpness of capture camera, the form of design producy, the number of features produced from the product, which is equally important is the overall performance of the product. This difficulty is a general matter discussed by each user, because it requires the best solution that can be used to solve the problem. One method that can be used to select the right SmartPhone is the Analytic Hierarchy Process (AHP) method combined with the TOPSIS method. In this case AHP is used to determine the preference quantity in weighting and TOPSIS is used for mathematical detailed calculations of a number of criteria specified in ranking from a number of alternatives. The results obtained based on the mathematical calculation process are the first rank brand products with the highest weight of 0.597 from SAMSUNG, followed by a weight of 0.586 from OPPO, then weighing 0.555 from Advance, then weighing 0.511 from VIVO, and the smallest weight 0.491 from Xiaomi.

scholarly journals Revision of Sustainable Road Rating Systems: Selection of the Best Suited System for Hungarian Road Construction Using TOPSIS Method

2020 ◽  
Vol 12 (21) ◽  
pp. 8884
Author(s):  
Réka Szpotowicz (née Nádasi) ◽  
Csaba Tóth
Keyword(s):  
Construction Projects ◽  
Input Data ◽  
Road Construction ◽  
Rating System ◽  
Topsis Method ◽  
Rating Systems ◽  
Order Preference ◽  
Academic Professionals ◽  
Selection Of ◽  
The Ideal

There are a number of sustainable and environmentally friendly techniques and methods currently available in the construction industry. To promote sustainable development, different rating and certificating systems that evaluate the level of sustainability during the development of infrastructure construction projects have been developed. The aim of the research presented in this paper was to examine the applicability of sustainability rating systems in Hungary and find the most suitable option. After a review of commonly used rating systems, i.e., Greenroads, GreenLITES, I-LAST, Envision, and INVEST, the most suitable existing rating system is selected with the help of the Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) mathematical decision analysis method. This was achieved by utilizing 12 categories of input data (weights) analyzed through TOPSIS. The input data (weights) of the TOPSIS method were determined by a small research group of industry experts and academic professionals based on Hungarian practices and methodology. As a result of the calculation, the study found that the Envision rating system satisfies the criteria best, closely followed by Greenroads.

Case Based Reasoning And Naive Bayes Implementation In Laptop Purchasing Recommender System

2021 ◽  
Vol 9 (3) ◽  
pp. 411
Author(s):  
I Gusti Ngurah Agung Dharmawangsa ◽  
I Wayan Supriana
Keyword(s):  
Recommender System ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Case Based Reasoning ◽  
The Right ◽  
Case Based ◽  
Selection Of ◽  
The Ideal

Purchasing a new laptop will be difficult if we do not know what the ideal laptop specification for our needs. Especially with a wide selection of laptops. From this problem, system that can give a recommendation to choose the right laptop based on purchaser’s specification choice is needed. This research using two method, Case Based Reasoning and Naive Bayes. The concept of Case Based Reasoning is the process of solving new problems based on the solutions of similar past problems, While Naive Bayes assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature. Naive bayes will be implemented in retrive process of case based reasoning. The recommender system utilizing 7 feature, Kecepatan Processor, Kapasitas Ram, Tipe Grafis, Ukuran Layar, Ukuran Harddisk, Kecepatan Layar, and Harga. The percentage of respondents who said the system was successful in providing the right recommendations was 70 percent of the total respondents.

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