RANCANG BANGUN SISTEM INFORMASI PENENTUAN KUALITAS KERNEL JAGUNG UNTUK PENGAMBILAN KEPUTUSAN PRA-PANEN MENGGUNAKAN PERBANDINGAN METODE NAIVE BAYES DAN PERCEPTRON
| Main Author: | Sari, Ratna Dwi Wulan |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/44649/1/PENDAHULUAN.pdf http://eprints.umm.ac.id/44649/2/BAB%20I.pdf http://eprints.umm.ac.id/44649/3/BAB%20II.pdf http://eprints.umm.ac.id/44649/4/BAB%20III.pdf http://eprints.umm.ac.id/44649/5/BAB%20IV.pdf http://eprints.umm.ac.id/44649/6/BAB%20V.pdf http://eprints.umm.ac.id/44649/ |
Daftar Isi:
- Corn is one of the staple foods in Indonesia. Therefore, the quality of corn is very needed. And one of the characteristics of quality corn can be determined from the level of maturity. The milk lines in corn can be a reference for determining the stage of corn. This final project discusses the process of designing information systems regarding the quality of corn kernels based on the stage milk line in corn to make it easier for farmers to get information about the time of harvesting corn. Information system to determine the harvest period of this corn using the programming language PHP and MySQL. In this study, the information system displays data from the classification of two methods, namely, naïve bayes and perceptron. The output of the two methods consists of a stage milk track which will automatically enter the web. From these two methods will be compared which classification results are more accurate so that get the precentage of accuracy results that approach to the actual stage result, then from one of the more accurate methods, the results of the classification will be displayed on the web as a reference for the corn harvest.