Potensi electronic nose 118 untuk mendeteksi penyakit busuk pangkal batang pada kelapa sawit

Basal stem rot (BSR) disease caused by Ganoderma sp. is a major disease in oil palm. One of the keys to successfully control BSR disease is to detect the pathogenic infections as early as possible. Early detection technique has been developed in this study was using volatile compounds sensors known...

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Main Authors: Agustin Sri Mulyatni, Irma Kresnawaty, Deden Dewantara Eris, Tri Panji, Wita Kimberly, Happy Widiastuti, Priyono, Chotimah, Kuwat Triyana
Format: Article
Language:English
Published: indonesian research institute for biotechnology and bioindustry 2022-04-01
Series:Menara Perkebunan
Subjects:
Online Access:http://mp.iribb.org/index.php/mpjurnal/article/view/472
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author Agustin Sri Mulyatni
Irma Kresnawaty
Deden Dewantara Eris
Tri Panji
Wita Kimberly
Happy Widiastuti
Priyono
Chotimah
Kuwat Triyana
author_facet Agustin Sri Mulyatni
Irma Kresnawaty
Deden Dewantara Eris
Tri Panji
Wita Kimberly
Happy Widiastuti
Priyono
Chotimah
Kuwat Triyana
author_sort Agustin Sri Mulyatni
collection DOAJ
description Basal stem rot (BSR) disease caused by Ganoderma sp. is a major disease in oil palm. One of the keys to successfully control BSR disease is to detect the pathogenic infections as early as possible. Early detection technique has been developed in this study was using volatile compounds sensors known as an electronic nose, specifically Electronic Nose 118. Plant samples were obtained from roots, stems, leaves, and soils of four plant categories, which were midly, moderately, and severely infected by Ganoderma, and healthy plants. The test results showed that Electronic Nose was able to record the profile of volatile organic compounds (VOC) produced by Ganoderma sp. The Linear Discriminant Analysis (LDA) results showed that the root and stem samples were differentiated in fairly high level of discrimination with values of 89.66% and 94.59% respectively, while for internal validation value were 98.18% and 89.18%. However, for leaf and soil samples, Electronic Nose 118 resulted in low discriminations. The test results show that Electronic Nose 118 can distinguish samples of roots and stems of healthy plant and Ganoderma-infected plant with a high accuracy.
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spelling doaj.art-2b328b16359548c88c26d2aaec8ef4a32022-12-22T00:47:05Zengindonesian research institute for biotechnology and bioindustryMenara Perkebunan0125-93181858-37682022-04-0190111010.22302/iribb.jur.mp.v90i1.472Potensi electronic nose 118 untuk mendeteksi penyakit busuk pangkal batang pada kelapa sawit Agustin Sri Mulyatni0Irma Kresnawaty1Deden Dewantara Eris2Tri Panji3Wita Kimberly4Happy Widiastuti5Priyono6Chotimah7Kuwat Triyana8Indonesia Reseach Institute for Biotechnology and BioindustryIndonesia Reseach Institute for Biotechnology and BioindustryIndonesia Research Institute for Biotechnology and BioindustryIndonesia Reseach Institute for Biotechnology and BioindustryGadjah Mada UniversityIndonesia Reseach Institute for Biotechnology and BioindustryIndonesia Reseach Institute for Biotechnology and BioindustryGadjah Mada UniversityGadjah Mada UniversityBasal stem rot (BSR) disease caused by Ganoderma sp. is a major disease in oil palm. One of the keys to successfully control BSR disease is to detect the pathogenic infections as early as possible. Early detection technique has been developed in this study was using volatile compounds sensors known as an electronic nose, specifically Electronic Nose 118. Plant samples were obtained from roots, stems, leaves, and soils of four plant categories, which were midly, moderately, and severely infected by Ganoderma, and healthy plants. The test results showed that Electronic Nose was able to record the profile of volatile organic compounds (VOC) produced by Ganoderma sp. The Linear Discriminant Analysis (LDA) results showed that the root and stem samples were differentiated in fairly high level of discrimination with values of 89.66% and 94.59% respectively, while for internal validation value were 98.18% and 89.18%. However, for leaf and soil samples, Electronic Nose 118 resulted in low discriminations. The test results show that Electronic Nose 118 can distinguish samples of roots and stems of healthy plant and Ganoderma-infected plant with a high accuracy.http://mp.iribb.org/index.php/mpjurnal/article/view/472ganodermalinier discriminant analysis (lda)pathogen infectionsensorvolatile organic compound
spellingShingle Agustin Sri Mulyatni
Irma Kresnawaty
Deden Dewantara Eris
Tri Panji
Wita Kimberly
Happy Widiastuti
Priyono
Chotimah
Kuwat Triyana
Potensi electronic nose 118 untuk mendeteksi penyakit busuk pangkal batang pada kelapa sawit
Menara Perkebunan
ganoderma
linier discriminant analysis (lda)
pathogen infection
sensor
volatile organic compound
title Potensi electronic nose 118 untuk mendeteksi penyakit busuk pangkal batang pada kelapa sawit
title_full Potensi electronic nose 118 untuk mendeteksi penyakit busuk pangkal batang pada kelapa sawit
title_fullStr Potensi electronic nose 118 untuk mendeteksi penyakit busuk pangkal batang pada kelapa sawit
title_full_unstemmed Potensi electronic nose 118 untuk mendeteksi penyakit busuk pangkal batang pada kelapa sawit
title_short Potensi electronic nose 118 untuk mendeteksi penyakit busuk pangkal batang pada kelapa sawit
title_sort potensi electronic nose 118 untuk mendeteksi penyakit busuk pangkal batang pada kelapa sawit
topic ganoderma
linier discriminant analysis (lda)
pathogen infection
sensor
volatile organic compound
url http://mp.iribb.org/index.php/mpjurnal/article/view/472
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