Application of the Naive Bayes Method to a Decision Support System to Provide Discounts (Case Study: PT. Bina Usaha Teknik)

2016 ◽  
Author(s):  
Fauzan Burdi ◽  
Anif Hanifa Setianingrum ◽  
Nashrul Hakiem
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Bayes Method ◽  
Naive Bayes Method

scholarly journals Social Assistance Decision Support System Using the Naive Bayes Method

2021 ◽  
Vol 1 (1) ◽  
pp. 85
Author(s):  
Moh. Syaiful Anam
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Naive Bayes ◽  
Confusion Matrix ◽  
Social Assistance ◽  
Naïve Bayes ◽  
Bayes Method ◽  
Naive Bayes Method

Covid-19 telah menjadi pandemi yang menyebar hampir ke seluruh penjuru dunia. Karena proses penularannya yang begitu cepat Dalam masa pandemi covid -19, pandemi ini menyebar ke seluruh sendi kehidupan dan salah satu yang paling menjadi perhatian adalah dibidang sosial ekonomi. Banyak terdapat bantuan Sosial (Bansos) yang disalurkan baik oleh pemerintah ataupun pihak swasta lain. Penelitian ini bertujuan untuk membuat sistem pendukung keputusan bantuan sosial menggunakan metode Naive Bayes, selanjutnya melakukan Analisa menggunakan tabel Confusion Matrix.  Dalam menyelesaikan masalah dengan menggunakan metode Naive Bayes dari hasil pembahasan yang dilakukan dapat ditarik kesimpulan Naive Bayes dan aturan yang dihasilkan memiliki tingkat akurasi tinggi (good) yaitu sebesar 73% dan Sementara nilai Precision sebesar 92% dan Recall sebesar 86%. Sehingga metode Naive Bayes dapat diterapkan dalam menentukan prediksi yang lebih banyak dan potensial aturan yang dihasilkan untuk membantu menentukan pemberian bantuan sosial.

Decision Support System for Admission Selection and Positioning Human Resources by Using Naive Bayes Method

2017 ◽  
Vol 23 (3) ◽  
pp. 2495-2497 ◽  
Author(s):  
Dyna Marisa Khairina ◽  
Septya Maharani ◽  
. Ramadiani ◽  
Heliza Rahmania Hatta
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Human Resources ◽  
Support System ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Bayes Method ◽  
Naive Bayes Method

scholarly journals The Decision Support System for Development of Hardness Water Management System with Fuzzy Naive Bayes Method

2019 ◽  
Vol 8 (1) ◽  
pp. 8-17
Author(s):  
Muhamad Radzi Rathomi ◽  
Ferdi Chahyadi
Keyword(s):  
Water Management ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Management System ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Bayes Method ◽  
Water Management System ◽  
Naive Bayes Method

Water is substantial requirement for human being, well water management system is necessary to meet the requirement. Decision support system is needed for development of water management system. This research try to develop Decision Support System to provide sugestion for Hardness water management. Sugestion will be generated, based from sensors data which is installed in water management system. Timing data when chemical adjusment in processing system will give some impact for sugestion. We will use Naive Bayes method to generate the sugestion from collected data. However, this classification method work with categorial data, whereas output from water management system are numerical data. Therefore, Fuzzy set will be used to categorize those data. The experimental result shows Fuzzy Naive Bayes method can classify those numerical data and can be used to be decision support system for water hardness management.

scholarly journals Sistem Pendukung Keputusan Untuk Menentukan Lokasi Usaha Kuliner Yang Strategis Menggunakan Metode Naive Bayes

2017 ◽  
Vol 12 (1) ◽  
pp. 4-12
Author(s):  
Muiza Ulin Nuhayati ◽  
Dedih Dedih ◽  
Jajang Mulyana
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Information Sources ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Database Management System ◽  
Decision Making Process ◽  
Bayes Method ◽  
Real World Situation

Decision Support System is a software developed specifically to assist in the decision making process. Decision support system for determining the location of strategic culinary business is treated as a "second opinion" or "information sources" that can be used as a material consideration before deciding to take a decision when going to open a business in the selected location. The design of this system using the programming language PHP, Apache as the Web server and MySQL as DBMS (Database Management System). pengebangan this system using SDLC Waterfall. This meth od used in the decision support system is using Naive Bayes method that predicts the chance that will happen in the future based on past events. so that in addition to attracting users, this system is expected to represent the real-world situation or the actual business.

IMPLEMENTASI TEOREMA NAÏVE BAYES PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN REKOMENDASI TEMPAT WISATA TERBAIK DISULAWESI SELATAN

2019 ◽  
Vol 2 (1) ◽  
pp. 40-46
Author(s):  
Rikardo Chandra ◽  
Izmy alwiah Musdar ◽  
Junaedy .
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Web Based ◽  
Tourist Attractions ◽  
South Sulawesi

This study aims to design and build web-based decision support system applications used to recommend the best tourist attractions in South Sulawesi to tourists. The expected benefit of this research is to help the user get the best tourist recommendation information available in South Sulawesi based on the conditions in input factors. The theorem or method used in this study, namely the theorem Naïve Bayes. The design of the system isimplemented using PHP programming language and MYSQL database. Based on the results of the research, the authors have successfully built the application of decision support system to determine the recommendation of tourist attractions in South Sulawesi with 65% accuracy based on 20 tests conducted.

scholarly journals Penentuan Lokasi Fasilitas Kesehatan Strategis Menggunakan Metode Naive Bayes pada RSU Bintang

2021 ◽  
Vol 6 (2) ◽  
pp. 52
Author(s):  
Aniek Suryanti Kusuma ◽  
Welda Welda ◽  
I Komang Juliana
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Data Processing ◽  
Health Facility ◽  
Support System ◽  
Naive Bayes ◽  
Current System ◽  
Naïve Bayes ◽  
Health Facilities ◽  
The Right

At present the selection of strategic health facility locations is not easy, to determine the right location and in accordance with the needs of patients must use the right calculation. Bintang General Hospital (RSU Bintang) has difficulties in determining the strategic location of new health facilities. The difficulty is due to the absence of data processing from the current system so that in determining the location of strategic health facilities is not based on data that has been analyzed. Based on the problems experienced by RSU Bintang and to assist in making a decision in establishing a strategic health facility location, a study was made to design a decision support system that can perform calculations to determine the location of the most strategic health facility with the title "Decision Support System. Determining the Location of Strategic Health Facilities Using the Naive Bayes Method at RSU Bintang”. Decision support system that is built will have several functions, such as processing patient register data, user data processing, alternative location data processing, criteria data processing, data processing rules, Naive Bayes calculations and managing several reports that can be used as decision support for the RSU Bintang. in determining the location of the most strategic health facilities. In this system, testing has been done by using blackbox testing which gets the test results in accordance with the system design.

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