Dewi Puspitasari, Dewi and Arif Surtono, arifs and Sri Wahyu Suciati, suciyati and Gurum Ahmad Pauzi, gurum (2021) Aplikasi Sensor TGS2620 dan MQ138 untuk Mendeteksi Kematangan Buah Durian Berbasis Raspberry Pi 3B. Jurnal Teori dan Aplikasi Fisika, 9 (2). pp. 167-173. ISSN 2303-016X

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Abstract

Research has been carried out by application of the TGS 2620 (alcohol level) and MQ 138 (methane level) gas sensors to detect the maturity of durian based on Raspberry Pi 3b. This research was conducted to produce a detection instrument for the level of durian maturity. Durian is inserted into the sample room which contain a gas sensors. The classification method used to determine fruit maturity uses K�Nearest Neighbor (KNN). The KNN test in the durian maturity classification using a gas sensor has accuracy based on maturity level, ripe 93,3%; rare 96.6%; raw 93,3% Keywords: Maturity of durian, gas sensor, raspberry pi 3b, KNN

Item Type: Article
Subjects: Q Science > QC Physics
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Fisika
Depositing User: M.Si. Sri Wahyu Suciyati
Date Deposited: 06 Jun 2022 01:26
Last Modified: 06 Jun 2022 01:26
URI: http://repository.lppm.unila.ac.id/id/eprint/42079

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