Journal title
Transformatika

   
Home  /  Transformatika  /  Vol: 21 Núm: 2 (2024)  /  Article
ARTICLE
TITLE

Decision Tree Implementation in IT Job Recommendation System

Yohana Tri Widayati  
Stephanus Widjaja  
Adityo Putro Wicaksono  
Jutono Gondohanindijo  
Christine Cecillia Putri    
   
   
   
   
   
   
   
   
   
   
   
   
DOI :   
10.26623/transformatika.v21i2.8328 | Abstract views: 112 times
   
   
   
   
   
   
   
   
   
   
   
   
   
   
  

SUMMARY

Employment is the primary activity that humans engage in to generate income. With the advancement of technology and research, there are many new job opportunities leading to confusion in choosing a job path. This leads to individual confusion in making job choices. Ignorance of one's own talents and personality, as well as ignorance of the various options available, can be the source of this ignorance. This research aims to develop a Decision Tree model to assist users in determining the appropriate IT field. The system uses AI Project Cycle and data processing tools such as Google Collaboratory, which is based on Python programming language. The results show that the Decision Tree algorithm can be applied to recommend jobs in the IT field to help users find suitable fields in the IT field.

PAGES
pp. 84 - 92

 Articles related

Irma Rahmianti, Eva Agustina Suparti, Christina Juliane    

School supervisors have an important role in the world of education whose job is to improve the quality of education. Qualifications of competent school supervisors are needed to master academic performance and management of educational institutions. In ... see more


Zyhan Faradilla Daldiri, Desti Fitriati    

One of the leading causes of death is cancer. The most common cancer in women is breast cancer. Breast cancer (Carcinoma mammae) is a malignant neoplasm originating from the parenchyma. Breast cancer ranks first in terms of the highest number of cancers ... see more


Baiq Nurul Azmi, Arief Hermawan, Donny Avianto    

Liver disease is one of the diseases that is difficult to detect and becomes the largest contributor to deaths because it is considered a silent killer without symptoms. Liver disease can be detected based on abnormalities in the number of contents in th... see more


Mohamad Faiz Mat Baseri, Ahmad Fadli Saad    

Nowadays, obesity is one of the dangerous diseases in the world. Lack of dietary monitoring system will make it difficult for people with obesity to reduce their weight problems. The main objective of this project is to develop a dietary monitoring syste... see more


Anindya Khrisna Wardhani, Ega Nugraha, Qonita Ulfiana    

The amount of data about liver disease can be used to become information that can be extracted using the decision tree data mining method. However, there is a weakness in the decision tree method, namely over-fitting the resulting tree can produce a good... see more