A prototype of a web-based decision support system for building models and solving optimization and decision making problems

2011 ◽  
Author(s):  
Krasimira Genova ◽  
Leoneed Kirilov ◽  
Vassil Guliashki ◽  
Boris Staykov ◽  
Daniel Vatov
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Web Based ◽  
Building Models

A Web-Based Decision Support System for the Planning of Vessel Dismantling Processes

2009 ◽  
Vol 25 (03) ◽  
pp. 161-167
Author(s):  
Charalambia Pylarinou ◽  
Nikos Karacapilidis ◽  
Emmanuel D. Adamides
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Collaborative Design ◽  
Simulation Environment ◽  
Web Based

Aiming to augment the quality of decision making in vessel dismantling, this paper presents an innovative decision support system that takes into account the diversity of the associated constraints to aid stakeholders handle issues such as the appropriateness of a disposal methodology or the level of safety in a dismantling yard. Being seamlessly integrated with an advanced simulation environment, the system also facilitates the collaborative design of dismantling processes.

Modeling Web-Based Data in a Data Warehouse

2011 ◽  
pp. 826-831
Author(s):  
Hadrian Peter ◽  
Charles Greenidge
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Data Warehouse ◽  
Data Structures ◽  
Support System ◽  
Database Design ◽  
Storage Facility ◽  
Web Based ◽  
Good Data

Good database design generates effective operational databases through which we can track customers, sales, inventories, and other variables of interest. The main reason for generating, storing, and managing good data is to enhance the decision-making process. The tool used during this process is the decision support system (DSS). The information requirements of the DSS have become so complex, that it is difficult for it to extract all the necessary information from the data structures typically found in operational databases. For this reason, a new storage facility called a data warehouse has been developed. Data in the data warehouse have characteristics that are quite distinct from those in the operational database (Rob & Coronel, 2002).

Implementasi Metode TOPSIS dalam Sistem Pendukung Keputusan Seleksi Penerima Beasiswa Bidikmisi Berbasis Web

2016 ◽  
Vol 3 (4) ◽  
pp. 344
Author(s):  
Tri Widayanti ◽  
Tony Wijaya
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Research And Development ◽  
Support System ◽  
Object Oriented ◽  
Assessment Process ◽  
Extreme Programming ◽  
Topsis Method ◽  
Web Based

Penggunaan sistem pendukung keputusan dapat meningkatkan proses penilaian dalam seleksi Beasiswa bidikmisi sehingga dapat mengurangi subjektivitas pengambilan keputusan. Keputusan ini di dukung oleh beberapa kriteria sehingga dapat terpilih penerima beasiswa bidikmisi sesuai dengan kuota yang telah diberikan Kemenristek Dikti.Penelitian ini berbentuk studi kasus dengan metode research and development yang subjek penelitiannya adalah Politeknik Negeri Pontianak. Sistem pendukung keputusan untuk seleksi penerima beasiswa bidikmisi menggunakan metode TOPSIS berbasis web dengan menggunakan basis data MySQL dan bahasa pemrograman PHP. Metode perancangan aplikasi sistem pengambilan keputusan seleksi penerima beasiswa bidikmisi menggunakan metode Agile dengan pendekatan Extreme Programming yang memiliki tahapan antara lain Planning, Design, Coding, dan Testing yang menggunakan pendekatan Object-Oriented dengan sistem pemodelannya menggunakan UML. Hasil implementasi Metode TOPSIS dalam sistem pendukung keputusan seleksi penerima beasiswa bidikmisi berbasis web menampilkan fitur menu pendaftaran calon peserta bidikmisi, menu pengisian kriteria, menu penilaian calon peserta, menu hasil penilaian, menu kelola kriteria, menu kelola alternatif kriteria dan menu kelola pemakai. Selain itu, hasil implementasi memberikan objektivitas dan kemudahan bagi panitia dalam penilaian dan perankingan. Hasil pengujian juga menunjukkan bahwa penggunaan metode TOPSIS sebagai alternatif pengambilan keputusan dalam seleksi penerima beasiswa bidikmisi dapat menyaring 20% penerima beasiswa bidikmisi yang seharusnya tidak layak mendapatkan beasiswa tersebut.The use of decision support system can enhance the assessment process of bidikmisi scholarship selection, so that it may reduce the subjectivity in decision making. This decision system is supported by some criteria, so that the reciplent of bidikmisi scholarship can be selected accordance to the provided quota by Kemenristek Dikti. This is a case study research with research and development method where research participant is State Polytechnic School of Pontianak. TOPSIS method is used in decision support system for bidikmisi scholarship acceptance selection web-based using MySQL based data and PHP language program. The application design method of decision support system of bidikmisi scholarship selection recipients use agile method of Extreme Programming approach which steps of Planning, Design, Coding and Testing of object-Oriented approach with UML. The result of TOPSIS method application in decision support system of bidikmisi scholarship selection recipients web-based display fitur menu of bidikmisi candidate registration, prospective participants charging criteria, candidate assessment menu, the assessment result menu, management criteria menu, alternative governance criteria and the user governance menu. Basides, the result of the implememtation gives objectivities and ease for the committee in the assessment and ranking. The test results also show that the use TOPSIS method as an alternative decision-making in the selection of awardees bidikmisi can filter 20 % scholarship bidikmisi that should not be eligible for the scholarship.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN KELAYAKAN REKONSTRUKSI RUMAH MISKIN (Studi Kasus: Kabupaten Klaten)

Respati ◽  
2017 ◽  
Vol 10 (30) ◽  
Author(s):  
Parjono Parjono ◽  
Wing Wahyu Winarno ◽  
Emha Taufiq Luthfi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Social Service ◽  
Decision Makers ◽  
Ahp Method ◽  
Web Based ◽  
Alternative Solutions ◽  
Web Based System

ABSTRACTThis decision support system is a web-based system, which can help decision makers to use data from a variety of models to problems tersetruktur. In this thesis, has constructed a decision support system poorhouse reconstruction using AHP method (Analytical Heirarchy Process) which aims to help provide alternative solutions / proposals in decision-making, in this case that would be the Head of Social Service Klaten. Decision support systems are built based on 14 criteria poor from BPS (Central Bureau of Statistics) and giving preference value weighted interest where the total value of the weight should not be more or less than 100 (100%).Keywords: SPK, Reconstruction, AHP.

scholarly journals DECISION SUPPORT SYSTEMS INCREASE RANK USING AHP WEB – BASED ON PT TAMBANG BUKIT ASAM (PERSERO) TBK

2021 ◽  
Vol 9 (1) ◽  
pp. 1-6
Author(s):  
Wahyuni Fithratul Zalmi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Assessment Process ◽  
Decision Making Process ◽  
Web Based ◽  
Decision Making System ◽  
Application Decision ◽  
Hierarchy Process

Decision support system is a system adopted from human knowledge, which can help people in the decision making process. In research conducted at PT Coal Bukit Asam (Persero) authors see most of the systems currently used in the search process of promotion of employees still in manual form, causing the length of the assessment process associated with a promotion for every employee of the company in accordance with any the criteria that have been specified company. Various weighting of criteria and sub criteria established companies are always considered manager to each process of inputting assessment. Therefore, the authors make a decision support system application manager that can facilitate the process of inputting weight rating decision promotion of employees in accordance with the criteria and sub-criteria that have been specified company. Application decision support system of promotion is designed using Analytical Hierarchy Process that the process to obtain the priority weighting is done by comparing each criteria and sub-criteria. Decision to be achieved can help managers to determine who the employees are entitled to a promotion in accordance with keptusan obtained from the application of this decision-making system.

Perancangan Sistem Pendukung Keputusan Pemilihan Pelanggan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) Pada Bravo Supermarket Jombang

2016 ◽  
Vol 2 (1) ◽  
pp. 40
Author(s):  
Fatikhatus Sholikhah ◽  
Diema Hernyka Satyareni ◽  
Chandra Sukma Anugerah
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Customer Loyalty ◽  
Design Decision ◽  
Web Based ◽  
Business World ◽  
Election System ◽  
Simple Additive Weighting ◽  
The Town

Abstrak Persaingan merupakan hal yang biasa terjadi terutama dalam dunia bisnis, tidak terkecuali yang telah dialami oleh Bravo Supermarket Jombang. Bravo bukanlah satu-satunya supermarket di kota Jombang, sehingga Bravo harus bersaing dengan para kompetitornya agar Bravo bisa bersaing dan tetap produktif. Salah satu cara yang dapat digunakan dalam meningkatkan penjualan dan loyalitas pelanggan adalah dengan memberikan reward kepada para pelanggan terbaik. Oleh karena itu perlu dibuatlah sebuah perancangan sistem pendukung keputusan dalam pemilihan pelanggan terbaik pada Bravo. Dalam perancangan sistem yang dibuat nantinya berbasis web dengan metode SAW(Simple Additive Weighting)sebagai proses perhitungan pemilihan pelanggan terbaik. Hasil dari perancangan sistem pemilihan pelanggan terbaik pada Bravo Supermarket Jombang diharapkan dapat membantu pihak manajemen Bravo dalam pemilihan pelanggan terbaik yang akan menerima reward dan akhirnya akan mampu meningkatkan loyalitas pelanggan dan profit Bravo. Kata kunci: Bravo, sistem pendukung keputusan, pelanggan, SAW. Abstract Competition is a common thing, especially in the business world, is no exception has been experienced by Bravo Supermarket Jombang. Bravo is not the only supermarket in the town of Jombang, so that Bravo had to compete with its competitors in order Bravo to compete and remain productive. One way that can be used to increase sales and customer loyalty is to give rewards to the best customers. Therefore, it needs to be made to a design decision support system in the selection of the best customers on Bravo. In designing the system made later on a web-based method of SAW (Simple Additive weighting) as the process of calculating the best customer selection. The results of the election system design best customers at Bravo Supermarket Jombang expected to assist management in selecting the best customer Bravo who will receive rewards and will eventually be able to increase customer loyalty and profit Bravo. Key word: Bravo, decision support system, customers, SAW.

Sistem Pendukung Keputusan SNMPTN Jalur Undangan Dengan Metode Electre

2018 ◽  
Vol 3 ◽  
pp. 14
Author(s):  
Lidia K Simanjuntak ◽  
Tessa Y M Sihite ◽  
Mesran Mesran ◽  
Nuning Kurniasih ◽  
Yuhandri Yuhandri
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Action Selection ◽  
Multi Criteria Decision Making ◽  
Prospective Students ◽  
College Entrance ◽  
Electre Method ◽  
Selection Of

All colleges each year organize the selection of new admissions. Acceptance of prospective students in universities as education providers is done by selecting prospective students based on achievement in school and college entrance selection. To select the best student candidates based on predetermined criteria, then use Multi-Criteria Decision Making (MCDM) or commonly called decision support system. One method in MCDM is the Elimination Et Choix Traduisant la Reality (ELECTRE). The ELECTRE method is the best method of action selection. The ELECTRE method to obtain the best alternative by eliminating alternative that do not fit the criteria and can be applied to the decision SNMPTN invitation path.

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