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

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Penilaian

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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%.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2207002033	T73450	T734502022	Central Library (Referens)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T734502022

Publisher

Inderalaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2022

Collation

x, 111 hlm.; ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

006.307

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Sistem Pakar
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

SEPTA

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