scholarly journals Decision Support System For Selecting Bali Tourist Attractions Using The PROMETHEE Method

SinkrOn ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Eva Zuraidah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Recommendation System ◽  
Support Systems ◽  
Descriptive Analysis ◽  
Tourist Attraction ◽  
Tourist Attractions ◽  
The Right ◽  
Selection Of

Tourism is currently very potential to be developed as a source of local income by providing information both online and offline to the community so that regional income increases. Bali is one of the tourist destinations in Indonesia which is visited by many local and foreign tourists. The island of Bali has many interesting sights consisting of natural attractions, royal festivals, culinary tours, traditional markets, and museums. There are many criteria that must be considered, so through this recommendation system, tourists can find out what places are in Bali they will visit. One of the problems of decision making with many criteria and attributes in the selection of attractions is to provide detailed decisions that refer to the scale of weight possessed. Decision support systems provide priority results of attractions that are suitable for every traveler. Traveling is very important because with tourism we can eliminate fatigue due to activity during the day. The selection of the right tourist attraction also affects this, so it is necessary to choose the right tourist attraction. This study focused on the application of multi-attribute decision making (MADM) to decision support systems (SPK) using preferred organizational methods for enrichment and evaluation (Promeethe). When a traveler fills out a questionnaire, he must be consistent with the answers to get the best results based on his willingness and characteristics. This research uses descriptive analysis method that presents a summary of the results of surveys and interviews of tourists who want to choose Bali tourist attractions according to costs, security, natural beauty, facilities, and infrastructure and location.

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.  

scholarly journals Implementation Of The SAW Method For Selection Of Best Operational Vehicles

2020 ◽  
Vol 4 (1) ◽  
pp. 67-75
Author(s):  
Irmawati Carolina ◽  
Fitra Hariman Hakim ◽  
Adi Supriyatna
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Complex Problem ◽  
Alternative Form ◽  
Simple Additive Weighting ◽  
Selection Of

Operational Vehicle is one of the assets owned by the company to help transportation that aims to facilitate the carrying out of a job. With the existence of operational vehicles can increase company productivity. The problems that exist in the process of selecting the best operational vehicles are still simple or depend on the company's budget. The purpose of this study is to obtain a decision in determining the selection of operational vehicles using several criteria and can provide solutions to determine the best choice of operational vehicles for company management. The method used by the author is Simple Additive Weighting (SAW) which can help in making decisions to overcome a complex problem. The results of this study are the decision support system can be used as a tool for decision making recommendations for companies in determining the selection of operational vehicles using the Simple Additive Weighting (SAW) method, in addition to providing an alternative form of decision support systems to help and facilitate the company's stakeholders in decide on operational vehicles.Keywords: Decision Support System, Operational Vehicle, SAW Method.

Supporting Decisional Episodes

2011 ◽  
pp. 837-847
Author(s):  
C.W. Holsapple
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Key Issues ◽  
The Right

This article develops the notion of decisional episodes as a basis for understanding ways in which decisions can be supported. Grounded in and aligned with knowledge management (KM) theory, the resultant perspective on decision support can guide researchers in the generation of research ideas and designs. It can also contribute to practitioners by suggesting architectures and functionalities to consider in the course of developing decision support systems, and by suggesting key issues to resolve in the course of deploying and evaluating a portfolio of decision support systems. Broadly speaking, knowledge management is concerned with efforts to ensure that the right knowledge is available to the right processors at the right time in the right representations for the right cost in order to foster right relationships, decisions, and actions with respect to an entity’s mission. These efforts unfold in various contexts such as designing, communicating, researching, and decision making. Our focus here is on the latter.

scholarly journals Sistem Pendukung Keputusan Untuk Seleksi Penerimaan Asisten Laboratorium Menggunakan Metode AHP

Respati ◽  
2019 ◽  
Vol 14 (1) ◽  
Author(s):  
Helda Yunita
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Analytical Hierarchy Process ◽  
Support Systems ◽  
Ahp Method ◽  
Complex Problems ◽  
Laboratory Assistant ◽  
Hierarchy Process ◽  
Selection Of

INTISARISistem Pendukung Keputusan (SPK) merupakan suatu sistem yang mendukung suatu instansi dalam pengambilan keputusan untuk suatu permasalahan dengan tujuan sebagai alat bantu untuk memperluas kapabilitas dalam pengambilan keputusan. Pendukung keputusan pada dasarnya merupakan suatu hasil dari beberapa alternatif terbaik yang terpilih sesuai dengan berbagai macam kriteria. Salah satu metode sistem pendukung keputusan yaitu metode Analyitical Hierarchy Process (AHP) yang merupakan metode untuk melakukan pengambilan keputusan secara ilmiah dan rasional untuk memberikan solusi terhadap masalah kriteria yang kompleks dalam berbagai alternative dengan melakukan perhitungan dari perbandingan permasing – masing kriteria. Melalui metode AHP ini dapat diketahui hasil dari nilai para calon asisten laboratorium yang telah dihitung sesuai dengan kriterianya.Kata kunci—Sistem Pendukung Keputusan (SPK), Analytical Hierarchy Process (AHP), seleksi calon asisten laboratorium.ABSTRACTDecision support systems ( DSS ) is a system that supports an agency in decision-making to a problem with the destination as a tool to expand the decision making capabilities. Basicly, a decision support systems is a selection of some of the best alternative options from some criteria. A method of decision support systems is Analyitical Hierarchy Process ( AHP ) is a method to make decisions scientifically and rationally to provide solutions to complex problems in a variety of criteria alternatives. With this Analytical Hierarchy Process ( AHP ) method can be show the result from values of laboratory assistant candidate that calculate from their criteria.Keywords—Decision Support Systems (DSS), analytical hierarchy process (AHP), candidate laboratory assistant selection

FUZZY MULTIPLE ATTRIBUTE DECISION MAKING IN HOTEL SELECTION

2019 ◽  
Vol 2 (2) ◽  
pp. 67
Author(s):  
Rima Aprilia
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Theoretical Basis ◽  
Support Systems ◽  
Multiple Attribute Decision Making ◽  
The Third ◽  
Multiple Attribute ◽  
Selection Of

<em>As the third largest city in Indonesia, Medan has become one of the cities visited by many tourists, so many hotels have sprung up, from just guest houses to star hotels with various facilities provided. In the selection of hotels to stay, Fuzzy Multiple Attribute Decision Making is expected to provide the best solution in these problems. So that when tourists come to Medan, they can choose the best hotel that suits their needs. The output of this study, the collection of relevant references to the formulation of the problem. The aim is to strengthen the problem and as a theoretical basis for conducting the study and also become the basis for designing decision support systems</em>

scholarly journals FUZZY MULTIPLE ATTRIBUTE DECISION MAKING IN HOTEL SELECTION

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Rima Aprilia
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Theoretical Basis ◽  
Support Systems ◽  
Multiple Attribute Decision Making ◽  
The Third ◽  
Multiple Attribute ◽  
Selection Of

<em>As the third largest city in Indonesia, Medan has become one of the cities visited by many tourists, so many hotels have sprung up, from just guest houses to star hotels with various facilities provided. In the selection of hotels to stay, Fuzzy Multiple Attribute Decision Making is expected to provide the best solution in these problems. So that when tourists come to Medan, they can choose the best hotel that suits their needs. The output of this study, the collection of relevant references to the formulation of the problem. The aim is to strengthen the problem and as a theoretical basis for conducting the study and also become the basis for designing decision support systems</em>

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

PENERAPAN METODE SIMPLE ADDITIVE WEIGHTING DALAM PENETAPAN TENAGA KEPENDIDIKAN BERPRESTASI

2018 ◽  
Vol 1 (2) ◽  
pp. 45-54
Author(s):  
Helpi Nopriandi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Multiple Attribute Decision Making ◽  
Multiple Attribute ◽  
Simple Additive Weighting

Tenaga Kependidikan merupakan anggota masyarakat yang mengabdikan diri dan diangkat untuk menunjang penyelenggaraan pendidikan. Decision Support Systems atau lebih dikenal dengan Sistem Pendukung Keputusan adalah bagian dari sebuah sistem informasi yang berbasis komputer termasuk sistem yang berbasis ilmu pengetahuan dan dipakai untuk mendukung pengambil  keputusan dalam suatu organisasi atau perusahaan. untuk memudahkan pimpinan dalam mengambil sebuah keputusan dibuatlah suatu sistem pengambil keputusan dengan menggunakan Fuzzy Multiple Attribute Decision Making  (FMADM) digunakan untuk mencari alternatif optimalkan dari sejumlah alternatif dengan kriteria tertentu, sedangkan metode Simple Additive Weighting (SAW). Metode SAW sering juga dikenal istilah metode penjumlahan terbobot. Konsep dasar metode SAW adalah mencari penjumlahan terbobot dari rating kinerja pada setiap alternatif dari semua atribut.

Decision Support Systems in Crop Protection

1994 ◽  
Vol 23 (4) ◽  
pp. 281-285 ◽  
Author(s):  
Jonathan D. Knight ◽  
John D. Mumford
Keyword(s):  
Decision Support ◽  
Decision Support Systems ◽  
Support Systems ◽  
Crop Protection ◽  
Expert Advice ◽  
Management Decision ◽  
Sufficient Information ◽  
Record Keeping ◽  
Pests And Diseases ◽  
The Right

All farmers and growers have at some time faced the decision of whether to control a pest in their crop. In order to make the correct decision the farmer needs access to, and an understanding of, sufficient information relevant to such pest problems. Decision support systems are able to help farmers make these difficult decisions by providing information in an easily understandable and quickly accessed form. The increasing use of computers by farmers for record-keeping and business management is putting the hardware necessary for the implementation of these systems onto more and more farms. The scarcity of expert advice, increasingly complex decisions and reduced economic margins all increase the importance of making the right pest management decision at the right time. It is against this background that decision support systems have an important role to play in the fight against losses caused by pests and diseases.

Sign in / Sign up

Export Citation Format

Share Document