Perancangan Sensor Kapasitor Dan Penggunaan Sensor Warna Sebagai Pendeteksi Tingkat Kematangan Biji Kopi Kawi Roasting Menggunakan Logika fuzzy Berbasis Arduino
DOI:
https://doi.org/10.33795/jartel.v11i3.114Keywords:
Arduino, Fuzzy, Coffee, Roasting, MamdaniAbstract
Coffee is one of the most popular drinks in Indonesia because of its taste and aroma. Coffee in its presentation has different types which are determined by the coffee beans maturity level during roasting, including light roast, medium roast and dark roast. Each of the three types of roasting profiles has a different level of moisture in the beans. The use of a roaster machine to determine the coffee beans maturity level often uses temperature and roasting time settings. Knowing the capacitance value in determining the roasting l evel is expected to increase the accuracy of the roasting level. In this study, a capacitor sensor consisting of two parallel copper plates was designed to determine the roasted coffee beans maturity level. The frequency value and color sensor in the system were used to determine the basic value of the classification of Kawi coffee beans maturity level in the fuzzy system. Based on the results, namely at a parallel cap acitor sensor distance of 2 cm, the oscilloscope readings of dark maturity have a frequency range between 201KHz - 213KHz, medium in the range 179KHz - 206KHz and light 178KHz - 200KHz. Meanwhile, the Arduino frequency counter readings at the dark maturity level in range of 204KHz - 234KHz, medium in range of 210KHz - 227KHz and light at 205KHz - 223KHz. The results of the maturity level classification of Kawi coffee beans with fuzzy values for dark < 43.50, 43.50 < medium < 174 and light > 174.
References
Layla Febri H, Yuliana Setiarini, Haki Midia , "Alat Pendeteksi Kualitas Biji Kopi Papain(Kopi Citarasa Kopi Luwak Tanpa Menggunakan Luwak) Dengan Metode Pengukuran Nilai Kapasitansi”, 2015.
A. Windiarto and K. Wardani, “Rancang Bangun Voice Over Internet Protocol dan GSM Gateway Berbasis Raspberry Pi”, 2019.
F. Hidayat, “IMPLEMENTASI FUZZY PADA SISTEM PENGIDENTIFIKASI”, 2018.
L. D. Mustafa, S. H. Susilo, and R. H. Y. Perdana, “Detection of Salak Chips readiness on vacuum frying machines based on vacuum pipe temperature and frying time,” in IOP Conference Series: Materials Science and Engineering, 2020, vol. 732, no. 1.
R. Arissandi, D. I. E. Yudaningtyas MT., and M. Ir. Retnowati, “Implementasi Kontrol Logika Fuzzy (KLF) Sebagai Pengendali Suhu Sistem Pasteurisasi Kuning Telur Cair”, 2014.
I. Sofi’i, “Rancang Bangun Mesin Penyangrai Kopi dengan Pengaduk Berputar”, 2014.
N. Joko, J. Lumbanbatu, and R. Sri, “Pengaruh Suhu dan Lama Penyangraian Terhadap Sifat Fisik Mekanis Biji Kopi Robusta”, 2009.
E. N. Lestariawan, “Design of Home Electrical Device Controllers Using Fuzzy Logic Based on Raspberry Pi and the Web”, Jurnal Jartel, vol. 6, no. 1, pp. 50-56, May 2018.
A. A. Fahruri, “Analisis Dielektrik Kapasitor Keping Sejajar Berbahan Dasar Buah Tomat”, 2017.
R. N. Alam, “ Design of System for Determining Corn Seed Color Quality Standards using the Fuzzy Logic Method through the Localhost Network”, Jurnal Jartel, vol. 8, no. 1, pp. 62-70, Mar. 2019.
W. Bridge, “Osilator dan Sumber Sinyal,” pp. 1–16, 2012.
G. Description and O. Code, “CD4049UBC CD4050BC Hex Inverting Buffer Hex Non- Inverting Buffer Ordering Code?”, 1999.
L. N. Rohmah, H. Nugroho, and K. Wardani, “Rancang Bangun Modul Pembelajaran Oscillator”, 2018.
Junaidi and Y. D. Prabowo, "Project Sistem Kendali Elektronik Berbasis Arduino", 2018.
D. A. Rahmawati, “Penerapan Fuzzy Logic Dengan Menggunakan Metode Mamdani Untuk Memprediksi Kualitas Kopi,” 2015.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Bahril Ilmid Nugroho, Azam Muzakhim, Lis Diana Mustafa
This work is licensed under a Creative Commons Attribution 4.0 International License.
