Analysis of Chi-square Automatic Interaction Detection (CHAID) and Classification and Regression Tree (CRT) for Classification of Corn Production

Yuliana Susanti, Etik Zukhronah, Hasih Pratiwi, Respatiwulan, H. Sri Sulistijowati
2017 Journal of Physics, Conference Series  
To achieve food resilience in Indonesia, food diversification by exploring potentials of local food is required. Corn is one of alternating staple food of Javanese society. For that reason, corn production needs to be improved by considering the influencing factors. CHAID and CRT are methods of data mining which can be used to classify the influencing variables. The present study seeks to dig up information on the potentials of local food availability of corn in regencies and cities in Java
more » ... nd. CHAID analysis yields four classifications with accuracy of 78.8%, while CRT analysis yields seven classifications with accuracy of 79.6%. 2 1234567890
doi:10.1088/1742-6596/909/1/012041 fatcat:ce6iwnq4qba5daaoonfrx3kota