RANCANG BANGUN ALAT PENDETEKSI TINGKAT KEMATANGAN BUAH DURIAN DENGAN METODE NAÏVE BAYES MENGGUNAKAN SENSOR BERBASIS ARDUINO
| Main Author: | Simamora, Jhohannes |
|---|---|
| Format: | Thesis NonPeerReviewed Book Image |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/54455/1/PENDAHULUAN.pdf http://eprints.umm.ac.id/54455/2/BAB%20I.pdf http://eprints.umm.ac.id/54455/3/BAB%20II.pdf http://eprints.umm.ac.id/54455/4/BAB%20III.pdf http://eprints.umm.ac.id/54455/5/BAB%20IV.pdf http://eprints.umm.ac.id/54455/6/BAB%20V.pdf http://eprints.umm.ac.id/54455/7/LAMPIRAN.pdf http://eprints.umm.ac.id/54455/8/Poster.JPG http://eprints.umm.ac.id/54455/ |
Daftar Isi:
- Often found durian fruit obtained from collectors is uncertain according to what the seller wants because the amount and type are very much, in this case can make the seller will be very difficult to choose the maturity level of durian fruit for resale. At this time to determine the maturity level of the durian fruit, the seller only uses the sense of smell or only relies on experience which certainly cannot guarantee that the choice will be right. For this season, we need a system that can reduce the problem so that the level of maturity of the durian fruit will be easier. In a previous study, electronic devices made using an arduino microcontroller obtained input from the TGS sensor, input data in the from of alcohol content and air contaminant to be processed by arduino using the fuzzy clustering method. And tesearchers now want to make observations and develop the design of electronic devices for durian level maturity data from previous studies using the naïve bayes method.