PERBANDINGAN METODE CASE BASED REASONING (CBR) DAN CERTAINTY FACTOR (CF) PADA SISTEM PAKAR REKOMENDASI PROFESI BERDASARKAN MULTIPLE INTELLIGENCES

ARDANA, RAFLIANDI and Utami, Alvi Syahrini and Marieska, Mastura Diana (2022) PERBANDINGAN METODE CASE BASED REASONING (CBR) DAN CERTAINTY FACTOR (CF) PADA SISTEM PAKAR REKOMENDASI PROFESI BERDASARKAN MULTIPLE INTELLIGENCES. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021381823119.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_55201_09021381823119_TURNITIN.pdf Restricted to Repository staff only Download (12MB) | Request a copy
Preview	Text RAMA_55201_09021381823119_0022127804_0021038607_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (792kB) | Preview
	Text RAMA_55201_09021381823119_0022127804_0021038607_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (470kB) | Request a copy
	Text RAMA_55201_09021381823119_0022127804_0021038607_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (657kB) | Request a copy
	Text RAMA_55201_09021381823119_0022127804_0021038607_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_55201_09021381823119_0022127804_0021038607_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (522kB) | Request a copy
	Text RAMA_55201_09021381823119_0022127804_0021038607_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (9kB) | Request a copy
	Text RAMA_55201_09021381823119_0022127804_0021038607_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (157kB) | Request a copy
	Text RAMA_55201_09021381823119_0022127804_0021038607_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (158kB) | Request a copy

Abstract

There are still many people who view intelligence only in the ability of intelligence. In fact, this affects the problem of the world of work where there is a mismatch between interests and talents in the work they already have. So that the work cannot be completed properly due to factors such as lack of ability and incompatibility with the work. Therefore, the researcher created an expert system so that users can find out the appropriate professional recommendations based on the Multiple Intelligences raised by Howard Gardner. The method used in this research is Case Based Reasoning (CBR) and Certainty Factor (CF) method. Case Based Reasoning (CBR) is a problem solving method by remembering similar events that happened in the past and then using that knowledge or information to solve new problems. Certainty Factor (CF) is one of the techniques used to overcome uncertainty in decision making. Based on the test results using 50 test data, the accuracy of the professional recommendation expert system based on Multiple Intelligences using the Case Based Reasoning (CBR) method is 58% while the accuracy using the Certainty Factor (CF) method is 80% so that in this study the system accuracy has a difference by 22%. Sebagian besar orang memandang kecerdasan hanya terletak pada kemampuan intelegensi. Pada nyatanya ini berpengaruh pada permasalahan dunia kerja dimana tidak ada kesesuaian antara minat dan bakat pada pekerjaan yang telah dimiliki, sehingga pekerjaan tidak dapat diselesaikan dengan baik dikarenakan faktor seperti kurangnya kemampuan dan ketidaksesuaian terhadap pekerjaan tersebut. Oleh karena itu peneliti membuat sistem pakar agar user dapat mengetahui rekomendasi profesi yang sesuai berdasarkan Multiple Intelligences yang dimunculkan oleh Howard Gardner. Metode yang digunakan dalam penelitian iniadalah Case Based Reasoning (CBR) dan metode Certainty Factor(CF). Case Based Reasoning(CBR) adalah suatu metode pemecahan masalah dengan mengingat kejadianserupa yang terjadi dimasa lalu dan kemudian menggunakan pengetahuan atauinformasi tersebut untuk memecahkan masalah baru. Certainty Factor (CF) merupakan salah satu teknik yang digunakan untukmengatasi ketidakpastian dalam pengambilan keputusan. Berdasarkan hasil pengujiandengan menggunakan 50 data uji, akurasi sistem pakar rekomendasi profesi berdasarkan Mulitple Intelligencesmenggunakan metode Case Based Reasoning (CBR) sebesar 58% sedangkan hasil akurasi dengan menggunakan metode Certainty Factor(CF) sebesar 80% sehingga pada penelitian ini akurasi sistem memiliki selisih sebesar 22%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Sistem Pakar,Case Base Reasoning, Certainty Factor, dan Multiple Intelligences
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation. Q Science > QA Mathematics > QA299.6-433 Analysis > Q334.A755 Artificial intelligence. Computational linguistics. Computer science. Q Science > QA Mathematics > QA8.9-QA10.3 Computer science. Artificial intelligence. Computational complexity. Data structures (Computer scienc. Mathematical Logic and Formal Languages
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Rafliandi Ardana
Date Deposited:	08 Jul 2022 03:25
Last Modified:	08 Jul 2022 03:32
URI:	http://repository.unsri.ac.id/id/eprint/73450

Actions (login required)

View Item