IMPLEMENTASI ALGORITMA C4.5 UNTUK MEMPREDIKSI TINGKAT PEMAHAMAN MATERI PESERTA SERTIFIKASI DIGITAL MARKETING (STUDI KASUS : CAMPUS DIGITAL)
Title | IMPLEMENTASI ALGORITMA C4.5 UNTUK MEMPREDIKSI TINGKAT PEMAHAMAN MATERI PESERTA SERTIFIKASI DIGITAL MARKETING (STUDI KASUS : CAMPUS DIGITAL) |
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Author | ALDI RIVANTO |
Abstract | Campus Digital is a private institution that provides training and certification services in the field of information technology and business, one of which is in the field of digital marketing. Certification participants will be given materials and assignments to assess their abilities and understanding. But that's not enough, many certification participants who have low scores don't want to go back to their assignments or ask the trainers. This will make it difficult for the trainer to know whether the participants have understood the material presented or not. To overcome this problem, data mining can be used by using data mining, so the trainer can make predictions on the level of understanding of certification participants. This prediction system is built in the form of a web with the PHP programming language and MySQL database, so it will be easy and light to use. This system uses the C4.5 algorithm method. The C4.5 algorithm was chosen because it has the advantage that it can be used for processing numeric and discrete data, besides that it can also handle missing attribute values, creates rules that are easy to run, and is the fastest algorithm among other algorithms. This research will make it easier for trainers on digital campuses to predict the level of understanding of certification participants, so that it is easier for trainers to evaluate the material or how to train participants.. |
Keywords | System, Prediction, Data Mining, C4.5 Algorithm, Php, MySQL, Web |
Document | |
Download | Download File |
Issn | 2302-0709 |
Doi | - |
Viewed | 254 |
Created At | 24 Apr 2022 12.54.27 |