📅 08 January 2025
DOI: 10.61132/uranus.v3i1.623
Klasifikasi Aroma Jenis Kopi Menggunakan Sensor Gas dan Algoritma LDA
Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Asosiasi Riset Teknik Elektro dan Informatika Indonesia (ARTEII)
📄 Abstract
Coffee is an agricultural product highly favored by the majority of the Indonesian population. Coffee comes in various types, each with a distinct aroma. Currently, differentiating coffee types relies on conventional methods, using the human nose, which is shubjective and dependent on individual conditions. This approach is less effective. To address this, researcher have developed a machine learning based system using Arduino Mega 2560 as the microcontroller, gas sensor MQ4, MQ7, MQ135, as the aroma detection tools, and the Linear Discriminant Analysis (LDA) algorithm as the classification method. The results of this system can classify 5 types of coffee with an accuracy rate of 90%.
🔖 Keywords
#Microcontroller; Sensor; Classification; Accuracy
ℹ️ Informasi Publikasi
Tanggal Publikasi
08 January 2025
Volume / Nomor / Tahun
Volume 3, Nomor 1, Tahun 2025
📝 HOW TO CITE
Moch Irwan Adi Saputro; Kukuh Setyadjit; Lutfi Agung Swarga, "Klasifikasi Aroma Jenis Kopi Menggunakan Sensor Gas dan Algoritma LDA," Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika, vol. 3, no. 1, Jan. 2025.
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