scholarly journals Perancangan Aplikasi Rekomendasi Pemilihan Lokasi Rumah dengan Memanfaatkan Fuzzy Database Metode Tahani

Teknika ◽  
2015 ◽  
Vol 4 (1) ◽  
pp. 23-28
Author(s):  
Sathya Adi Dharma ◽  
Timothy John Pattiasina ◽  
Edwin Meinardi Trianto
Keyword(s):  
Database Model ◽  
Fuzzy Database

Pemilihan lokasi rumah memerlukan beberapa kriteria yang cocok dengan kebutuhan konsumen. Biasanya konsumen mencari informasi perumahan lewat brosur-brosur rumah atau mengunjungi pameran perumahan. Hal itu dirasa kurang efektif karena memerlukan waktu yang lama. Salah satu cara dalam menentukan lokasi rumah adalah dengan menggunakan fuzzy database dengan model Tahani. Fuzzy database model Tahani merupakan salah satu metode yang dapat digunakan pada proses pengambilan keputusan. Dalam penelitian ini, aplikasi fuzzy database model Tahani dibangun untuk membantu pihak agen perumahan dalam memberikan rekomendasi rumah kepada konsumen, sehingga konsumen dapat memilih rumah sesuai dengan kriteria yang dipilihnya dengan lebih cepat dan mudah. Pada aplikasi yang telah dibangun, hasil rekomendasi rumah didasarkan pada nilai derajat keanggotaan dan fire strength (nilai kebenaran) dari proses perhitungan di dalam aplikasi tersebut.

DEALING WITH DISJUNCTIVE AND MISSING INFORMATION IN LOGIC FUZZY DATABASES

1996 ◽  
Vol 04 (02) ◽  
pp. 177-201 ◽  
Author(s):  
O. PONS ◽  
J.C. CUBERO ◽  
J.M. MEDINA ◽  
M.A. VILA
Keyword(s):  
Incomplete Information ◽  
General Term ◽  
Missing Information ◽  
Database Model ◽  
Fuzzy Database

This work is concerned with the problem of representing and handling disjunctive and missing information in the framework of logic fuzzy databases. We use the general term of incomplete information to refer both disjunctive or missing information. To pose the problem, we firstly give a brief summary about the underlying Logic Fuzzy Database Model. Starting from the concept of logic fuzzy database, which is a general fuzzy database that can be represented in a logic framework, we see how disjunctive and missing information can be represented and handled.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENENTUAN CALON PENERIMA BEASISWA MENGGUNAKAN METODE FUZZY DATABASE MODEL TAHANI

2016 ◽  
Vol 7 (2) ◽  
pp. 449
Author(s):  
Ardi Sanjaya ◽  
Risaniatin Ningsih
Keyword(s):  
Database Model ◽  
Fuzzy Database

Pada penelitian ini dibuat suatu sistem informasi berupa pendukung keputusan untuk menentukan calon penerima beasiswa menggunakan metode fuzzy database model Tahani. Penelitian ini dilakukan pada Sekolah Menengah Kejuruan (SMK) PGRI 4 Kota Kediri. Tujuan dari penelitian ini adalah untuk publikasi ilmiah dan untuk pembuatan sistem guna memberikan suatu pendukung keputusan berupa pengurutan data siswa berdasar kriteria tertentu sebagai prioritas untuk menerima beasiswa. Dengan memanfaatkan database siswa yang ada seperti data penghasilan orang tua, data prestasi, data jarak rumah kesekolah, dan sejenisnya, maka pihak sekolah akan lebih mudah untuk mengolah data siswa dalam memilih calon-calon penerima beasiswa dengan menggunakan sistem pendukung keputusan ini. Jika hanya menggunakan database standar akan kesulitan untuk menentukan calon-calon penerima beasiswa sebab pada database standar bersifat pasti, deterministik dan presisi. Namun pada kenyataannya pengolahan data yang ada lebih bersifat samar (fuzzy). Misalnya kriteria jarak rumah yang dikategorikan dekat, sedang dan jauh. Sedangkan pada database data jarak rumah berisi nilai pasti. Hasil dari penelitian ini adalah telah berhasil dibuat suatu sistem informasi pengolahan data siswa sebagai pendukung keputusan penentuan calon penerima beasiswa. Informasi yang dihasilkan salah satunya adalah urutan prioritas calon penerima beasiswa sehingga proses penentuan calon penerima beasiswa diharapkan dapat dikerjakan lebih efektif dan efisien. Kata kunci: sistem pendukung keputusan, fuzzy database model tahani.

scholarly journals RANCANG BANGUN APLIKASI REKOMENDASI PEMBELIAN LAPTOP DENGAN METODE FUZZY DATABASE MODEL TAHANI BERBASIS WEB

2014 ◽  
Vol 3 (2) ◽  
pp. 86-95
Author(s):  
Hendry Setiawan ◽  
Seng Hansun
Keyword(s):  
Fuzzy Logic ◽  
Data Storage ◽  
Programming Language ◽  
Consumer Finance ◽  
Web Based ◽  
Database Model ◽  
Standard Relation ◽  
Fuzzy Database

A laptop is a computer that looks compact, small, lightweight and easy to carry anywhere. But choosing a laptop is not an easy thing for consumers who want to have a laptop as per the specifications and budget of the consumer finance. Therefore the purpose of this research is to build a web-based application that can give recommendation to purchasers or consumers as needed. The application is built by using PHP programming language and implementing the Fuzzy Database Tahani model which is still using the standard relation of fuzzy logic, and also using MySQL database for the data storage. It is found that the Fuzzy Database Tahani model can be implemented on the application built on to give a correct recommendation for the consumers.

scholarly journals Fuzzy Model Tahani as Decision Support System for Employee Promotion

2018 ◽  
Vol 7 (2.5) ◽  
pp. 88 ◽  
Author(s):  
Dahlan Abdullah ◽  
Hardianto Djanggih ◽  
S Suendri ◽  
Hendra Cipta ◽  
N Nofriadi
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Human Resources ◽  
Support System ◽  
Career Planning ◽  
Objective Assessment ◽  
Fuzzy Model ◽  
Database Model ◽  
Fuzzy Database

Human resources within organization is very important to support the progress and quality of companies in achieving goals. Increased position is a very important factor for employee career planning and also to rejuvenate a position of occupation to be occupied by someone who has appropriate criteria to occupy a proposed position based on objective assessment and appropriate criteria variables. For that required a system that can assist leaders in making decisions for promotion of positions in accordance with what is expected from the company, it is necessary to design a decision support system using fuzzy database model Tahani method to assist in promotion.  

scholarly journals APLIKASI FUZZY DATABASE MODEL TAHANI DALAM MEMBERIKAN REKOMENDASI PEMBELIAN RUMAH BERBASIS WEB

Pseudocode ◽  
2014 ◽  
Vol 1 (1) ◽  
pp. 32-43
Author(s):  
Rusdi Efendi ◽  
Ernawati Ernawati ◽  
Rahmi Hidayati
Keyword(s):  
Database Model ◽  
Fuzzy Database

Incomplete information in a relational database

1980 ◽  
Vol 3 (3) ◽  
pp. 363-377
Author(s):  
John Grant
Keyword(s):  
Incomplete Information ◽  
Relational Database ◽  
Functional Dependency ◽  
Relational Algebra ◽  
Database Model ◽  
Character String

In this paper we investigate the inclusion of incomplete information in the relational database model. This is done by allowing nonatomic entries, i.e. sets, as elements in the database. A nonatomic entry is interpreted as a set of possible elements, one of which is the correct one. We deal primarily with numerical entries where an allowed set is an interval, and character string entries. We discuss the various operations of the relational algebra as well as the notion of functional dependency for the database model.

Lenses, fibrations and universal translations

2011 ◽  
Vol 22 (1) ◽  
pp. 25-42 ◽  
Author(s):  
MICHAEL JOHNSON ◽  
ROBERT ROSEBRUGH ◽  
R. J. WOOD
Keyword(s):  
Computer Science ◽  
Ordered Sets ◽  
Database Model ◽  
View Update ◽  
Universal Solution ◽  
Categorical Database

This paper extends the ‘lens’ concept for view updating in Computer Science beyond the categories of sets and ordered sets. It is first shown that a constant complement view updating strategy also corresponds to a lens for a categorical database model. A variation on the lens concept called a c-lens is introduced, and shown to correspond to the categorical notion of Grothendieck opfibration. This variant guarantees a universal solution to the view update problem for functorial update processes.

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