Studi Perubahan Profil Temperatur pada Bibit Kelapa Sawit Akibat Infeksi Ganoderma boninense Menggunakan Teknik Termografi Infrared

Mardianto, Frecia Elrivia (2025) Studi Perubahan Profil Temperatur pada Bibit Kelapa Sawit Akibat Infeksi Ganoderma boninense Menggunakan Teknik Termografi Infrared. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Metode konvensional untuk mendeteksi infeksi Ganoderma boninense pada kelapa sawit yang paling sering digunakan saat ini, High-Performance Liquid Chromatography (HPLC), kurang efektif dalam mendeteksi penyebaran infeksi pada tahap awal, memerlukan biaya yang cukup mahal, dan waktu deteksi yang relatif lama. Sebagai alternatif, teknik infrared thermography (IRT) dikembangkan dengan kelebihan lebih praktis, non-invasif, waktu deteksi lebih cepat, dan biaya lebih terjangkau. IRT memanfaatkan perubahan suhu permukaan tanaman akibat aktivitas biologis, terutama pada tanaman yang terinfeksi. Pada penelitian ini, kamera termal Fluke iSee TC01A digunakan untuk mengambil citra termal pada tiga area: daun, batang, dan tanah, pada tanaman sehat dan yang sengaja diinfeksi G. boninense. Hasil penelitian menunjukkan perbedaan suhu rata-rata antara tanaman sehat dan yang terinfeksi G. boninense sebesar 0,662°C, dan perbedaan suhu maksimum mencapai 1,25°C pada area batang. Perbedaan pola distribusi termal terlihat paling jelas pada area batang dan daun, sementara tidak terdapat perbedaan pola signifikan pada tanah. Selain itu, variasi komposisi tanah:pasir (1:1, 1:2, 1:3, dan 1:4) tidak berpengaruh signifikan terhadap perubahan suhu dalam analisis perkembangan infeksi G. boninense. Pola fluktuasi suhu harian antara tanaman sehat dan yang terinfeksi di ketiga area tidak menunjukkan perbedaan yang signifikan baik dalam hal kenaikan maupun penurunan suhu pada fase infeksi menengah. Namun, teknik IRT ini menunjukkan potensi sebagai metode deteksi dini perkembangan infeksi G. boninense pada bibit kelapa sawit. Rata-rata standar error pada seluruh pengukuran tercatat sekitar 0,0237%, yang menunjukkan keandalan dalam aplikasi ini cukup tinggi.
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The conventional method most commonly used today to detect Ganoderma boninense infection in oil palm, High-Performance Liquid Chromatography (HPLC), is less effective indetecting early-stage infection spread, requires relatively high costs, and has a long detection time. As an alternative, infrared thermography (IRT) technique has been developed with advantages such as being more practical, non-invasive, faster detection time, and more affordable. IRT utilizes changes in surface temperature of plants due to biological activity, especially in infected plants. In this study, the Fluke iSee TC01A thermal camera was used to capture thermal images in three areas: leaves, stems, and soil, of both healthy plants and those intentionally infected with G. boninense. The results showed that the average temperature difference between healthy plants and those infected with G. boninense was 0.662°C, with a maximum temperature difference of up to 1.25°C at the stem area. The thermal distribution pattern differences were most noticeable at the stem and leaf areas, while no significant differences in patterns were found at the soil. Additionally, variations in soil:sand composition
(1:1, 1:2, 1:3, and 1:4) did not significantly affect temperature changes in the analysis of G. boninense infection growth. Daily temperature fluctuation patterns between healthy and infected plants in the three areas did not show significant differences in either temperature increase or decrease during the mid-infection phase. However, this IRT technique shows potential as an early detection method for the development of G. boninense infection in oil palm seedlings. The average standard error in all measurements was recorded at approximately 0.0237%, indicating that the reliability of this application is quite high

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Ganoderma boninense, Kelapa Sawit, Termal, Termografi Infrared Ganoderma boninense, Palm Oil, Thermal, Infrared Thermography
Subjects:	Q Science > Q Science (General) > Q337.5 Pattern recognition systems Q Science > QC Physics > QC271.8.C3 Calibration Q Science > QC Physics > QC271 Temperature measurements Q Science > QC Physics > QC457 Infrared technology. T Technology > T Technology (General) > T57.5 Data Processing
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Frecia Elrivia Mardianto
Date Deposited:	06 Feb 2025 08:46
Last Modified:	06 Feb 2025 08:46
URI:	http://repository.its.ac.id/id/eprint/118477

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