Hidayatulloh, Fathan (2026) Uji Kinerja Mesin Roasting Tipe Drum Berbasis Pemanas PTC(Positive Temperature Coefficient) Terintegrasi Panel Surya Dengan Analisis Citra Untuk Evaluasi Tingkat Dan Keseragaman Hasil Roasting. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Seiring meningkatnya konsumsi kopi dan kebutuhan produk kopi olahan, proses roasting perlu dikembangkan agar lebih efisien, terkendali, dan berkelanjutan. Penelitian ini bertujuan untuk menganalisis pengaruh variasi waktu roasting terhadap perubahan kadar air biji kopi Robusta, mengevaluasi hubungan antara waktu roasting dan tingkat kematangan berdasarkan analisis warna citra, serta menganalisis kebutuhan energi mesin roasting pada setiap variasi waktu proses. Pengujian dilakukan menggunakan mesin roasting tipe drum berbasis pemanas PTC yang disuplai oleh sistem PLTS. Sampel yang digunakan berupa biji kopi Robusta sebanyak 300 gram untuk setiap percobaan, dengan variasi waktu roasting 15 menit, 30 menit, dan 45 menit serta tiga kali replikasi pada setiap variasi. Proses diawali dengan preheating hingga suhu setpoint 170°C, kemudian dilakukan pengukuran temperatur, arus, daya, energi, massa, kadar air, dan citra hasil roasting. Analisis citra dilakukan melalui konversi nilai RGB ke ruang warna CIE-LAB, Chroma, Hue, dan estimasi Agtron. Hasil penelitian menunjukkan bahwa kadar air akhir menurun dari 5,4% pada variasi 15 menit menjadi 2,3% pada variasi 30 menit dan 0,8% pada variasi 45 menit. Suhu akhir meningkat dari 133,03°C menjadi 154,40°C dan 167,40°C. Nilai Agtron menurun dari 88,88 menjadi 87,72 dan 83,94, dengan klasifikasi light roast pada 15 dan 30 menit, serta medium-light roast pada 45 menit. Energi total meningkat dari 188,176 Wh menjadi 247,351 Wh dan 308,342 Wh. Dengan demikian, peningkatan waktu roasting menyebabkan kadar air menurun, warna semakin gelap, tingkat roasting meningkat, dan kebutuhan energi semakin besar.
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As coffee consumption and the demand for processed coffee products continue to increase, the roasting process needs to be developed to become more efficient, controlled, and sustainable. This study aims to analyze the effect of roasting time variation on the moisture content of Robusta coffee beans, evaluate the relationship between roasting time and roast level based on image color analysis, and determine the energy requirement of the roasting machine for each process duration. The experiment was conducted using a drum-type roasting machine equipped with PTC heaters and supplied by a photovoltaic system. Robusta coffee beans with a mass of 300 g were used for each test, with roasting time variations of 15, 30, and 45 minutes, and three replications for each variation. The process began with preheating until the machine reached a setpoint temperature of 170°C, followed by measurements of temperature, current, power, energy, mass, moisture content, and roasted coffee images. Image analysis was performed by converting RGB values into CIE-LAB, Chroma, Hue, and estimated Agtron values. The results showed that the final moisture content decreased from 5.4% at 15 minutes to 2.3% at 30 minutes and 0.8% at 45 minutes. The final roasting temperature increased from 133.03°C to 154.40°C and 167.40°C. The Agtron value decreased from 88.88 to 87.72 and 83.94, indicating light roast for 15 and 30 minutes and medium-light roast for 45 minutes. The total energy consumption increased from 188.176 Wh to 247.351 Wh and 308.342 Wh. Therefore, increasing the roasting time reduced the moisture content, darkened the roasted coffee color, increased the roast level, and raised the energy requirement.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Mesin roasting, Pemanas PTC, Panel surya, Kopi robusta, Analisis citra Roasting machine, PTC heater, Solar panel, Robusta coffee, Image analysis |
| Subjects: | Q Science > QC Physics > QC100.5 Measuring instruments (General) T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques. Image analysis--Data processing. T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1056 Solar power plants. Ocean thermal power plants |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis |
| Depositing User: | Fathan Hidayatulloh |
| Date Deposited: | 22 Jul 2026 00:57 |
| Last Modified: | 22 Jul 2026 00:57 |
| URI: | http://repository.its.ac.id/id/eprint/136481 |
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