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 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.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PENERIMA BEASISWA BIDIKMISI MENGGUNAKAN METODE SMART

JURTEKSI ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 285-292
Author(s):  
Sukamto Sukamto ◽  
Yanti Andriyani ◽  
Ayu Lestari
Keyword(s):  
Experimental Data ◽  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Evaluation Process ◽  
Web Based ◽  
Scholarship Recipients ◽  
Uml Diagrams ◽  
The University

Abstract: Scholarships are provided selectively according to the type of learning held. There are so many scholarships offered to students who are outstanding and poor, one of which is the scholarship provided by the University of Riau, named Bidikmisi scholarship. The evaluation process of prospective scholarship recipients is carried out by the committee directly and is still done manually. So that it allows the creation of a support system for the decision to accept Bidikmisi scholarships using the smart web-based method. The system created, designed using UML diagrams, the system has made using the PHP programming language and database. The resulting system can process  using ten experimental data obtained a sequence of values from highest to smallest, with the highest amount of 0.75.            Keywords: Bidikmisi; Decision Support System; Scholarship; Smart Method.  Abstrak: Pemberian beasiswa dilakukan secara selekif sesuai dengan jenis beasiswa yang diadakan. Banyak sekali beasiswa yang ditawarkan kepada mahasiswa yang berprestasi dan kurang mampu, salah satunya beasiswa yang ditawarkan universitas riau yaitu beasiswa bidikmisi. Proses Penilaian calon penerima beasiswa dilakukan oleh panitia secara langsung dan masih dilakukan secara manual. Sehingga memungkinkan dibuatnya suatu sistem pendukung keputusan penerimaan beasiswa bidikmisi menggunakan metode smart berbasis web. Sistem yang dibuat, dirancang menggunakan UML diagram, pembuatan sistem menggunakan bahasa pemrograman PHP dan database. Sistem yang dihasilkan mampu mengolah data mahasiswa, mengolah data calon penerima untuk dihitung dan laporan jumlah calon penerima yang diterima dan ditolak. Hasil akhir dengan menggunakan 10 data percobaan diperoleh urutan nilai dari yang tertinggi sampai terkecil, dengan nilai tertinggi 0,75. Kata kunci: Beasiwa; Bidikmisi; Sistem Pendukung Keputusan; Smart. 

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 Arrangement of Players Position in Soccer Using the Technique of Naive Bayes

2015 ◽  
Vol 6 (4) ◽  
pp. 627
Author(s):  
Gusti Made Trisetya Putra ◽  
Muhammad Rusli
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Soccer Player ◽  
Naive Bayes ◽  
Research Result ◽  
Naïve Bayes ◽  
Young Age ◽  
Using Data

In the modern soccer era, soccer is already considered as an entertainment, even modern soccer already become as an industry or a business that considered can bring a great profit to the club owner. One of the most important factor in building a team is young age soccer player development. Right young age soccer player development method, can be very helpful in establish a good team. A professional team must have acoach, for the first team or junior team. The duties of a coach is determine a right position for soccer player in the game, this duties sometimes make a coach is hard to making a right decision. This research will discussabout how to design a decision support system for determine soccer player using naive bayes technique. Data mining used naive bayes technique for find a prediction for soccer player based on the player skill test result. From this research result, it can be seen that by using decision support system using data mining with naive bayes technique can be help coach performance in determine position for soccer player especially for young age soccer player development so that can help coach in the making right decision effectively and efficiently.

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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