Klasifikasi dan Autentifikasi Tanaman Seurapoh (Chromolaena odorata Linn) Menggunakan Metode Kombinasi Spektroskopi Inframerah dan Kemometrik

This study classifies the Seurapoh plant (Chromolaena odorata Linn) collected from various locations across Aceh Province. The analysis aims to determine the influence of geographic differences on the origin of Seurapoh plants by performing classification and authentication. Seurapoh leaf samples in...

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Main Authors: Taufiq Karma Karma, Pasyamei Rembune Kala, Shofi Shofi, Zafirah Zafirah
Format: Article
Language:English
Published: Tadulako University 2025-02-01
Series:Kovalen: Jurnal Riset Kimia
Online Access:https://bestjournal.untad.ac.id/index.php/kovalen/article/view/17460
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author Taufiq Karma Karma
Pasyamei Rembune Kala
Shofi Shofi
Zafirah Zafirah
author_facet Taufiq Karma Karma
Pasyamei Rembune Kala
Shofi Shofi
Zafirah Zafirah
author_sort Taufiq Karma Karma
collection DOAJ
description This study classifies the Seurapoh plant (Chromolaena odorata Linn) collected from various locations across Aceh Province. The analysis aims to determine the influence of geographic differences on the origin of Seurapoh plants by performing classification and authentication. Seurapoh leaf samples in this study were obtained from several locations, including Aceh Besar, Sabang, Southwest Aceh, South Aceh, Aceh Jaya, Bireun, Bener Meriah, and Central Aceh. Classification of Seurapoh leaf extracts was carried out using Principal Component Analysis (PCA), while authentication was conducted using Linear Discriminant Analysis (LDA). The PCA score plot analysis results indicate that it can explain a total data variance of 62%. Based on the PCA score plot, samples generally form three distinct groups: Group 1 consists of samples from the highland region of Gayo, specifically Central Aceh (TA) and Bener Meriah (BM); Group 2 consists of samples from the coastal areas of Aceh, namely Southwest Aceh (ABD), South Aceh (AS), Aceh Jaya (AJ), and Bireun (Br); and Group 3 comprises samples from geothermal manifestation areas of Seulawah Agam and Jaboi. The classifications derived from PCA analysis were subsequently authenticated using LDA. The LDA analysis results indicate that the LDA model, based on cross-validation, accurately predicts the origin locations of Seurapoh leaf samples with a 100% accuracy rate.
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institution Kabale University
issn 2477-5398
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publishDate 2025-02-01
publisher Tadulako University
record_format Article
series Kovalen: Jurnal Riset Kimia
spelling doaj-art-ff51e6ef588d4c169fcd4824d7c7a4b92025-02-05T05:28:37ZengTadulako UniversityKovalen: Jurnal Riset Kimia2477-53982025-02-0110325126010.22487/kovalen.2024.v10.i3.1746017460Klasifikasi dan Autentifikasi Tanaman Seurapoh (Chromolaena odorata Linn) Menggunakan Metode Kombinasi Spektroskopi Inframerah dan KemometrikTaufiq Karma Karma0Pasyamei Rembune Kala1Shofi Shofi2Zafirah Zafirah3Universitas AbulyatamaUniversitas AbulyatamaUniversitas AbulyatamaUniversitas AbulyatamaThis study classifies the Seurapoh plant (Chromolaena odorata Linn) collected from various locations across Aceh Province. The analysis aims to determine the influence of geographic differences on the origin of Seurapoh plants by performing classification and authentication. Seurapoh leaf samples in this study were obtained from several locations, including Aceh Besar, Sabang, Southwest Aceh, South Aceh, Aceh Jaya, Bireun, Bener Meriah, and Central Aceh. Classification of Seurapoh leaf extracts was carried out using Principal Component Analysis (PCA), while authentication was conducted using Linear Discriminant Analysis (LDA). The PCA score plot analysis results indicate that it can explain a total data variance of 62%. Based on the PCA score plot, samples generally form three distinct groups: Group 1 consists of samples from the highland region of Gayo, specifically Central Aceh (TA) and Bener Meriah (BM); Group 2 consists of samples from the coastal areas of Aceh, namely Southwest Aceh (ABD), South Aceh (AS), Aceh Jaya (AJ), and Bireun (Br); and Group 3 comprises samples from geothermal manifestation areas of Seulawah Agam and Jaboi. The classifications derived from PCA analysis were subsequently authenticated using LDA. The LDA analysis results indicate that the LDA model, based on cross-validation, accurately predicts the origin locations of Seurapoh leaf samples with a 100% accuracy rate.https://bestjournal.untad.ac.id/index.php/kovalen/article/view/17460
spellingShingle Taufiq Karma Karma
Pasyamei Rembune Kala
Shofi Shofi
Zafirah Zafirah
Klasifikasi dan Autentifikasi Tanaman Seurapoh (Chromolaena odorata Linn) Menggunakan Metode Kombinasi Spektroskopi Inframerah dan Kemometrik
Kovalen: Jurnal Riset Kimia
title Klasifikasi dan Autentifikasi Tanaman Seurapoh (Chromolaena odorata Linn) Menggunakan Metode Kombinasi Spektroskopi Inframerah dan Kemometrik
title_full Klasifikasi dan Autentifikasi Tanaman Seurapoh (Chromolaena odorata Linn) Menggunakan Metode Kombinasi Spektroskopi Inframerah dan Kemometrik
title_fullStr Klasifikasi dan Autentifikasi Tanaman Seurapoh (Chromolaena odorata Linn) Menggunakan Metode Kombinasi Spektroskopi Inframerah dan Kemometrik
title_full_unstemmed Klasifikasi dan Autentifikasi Tanaman Seurapoh (Chromolaena odorata Linn) Menggunakan Metode Kombinasi Spektroskopi Inframerah dan Kemometrik
title_short Klasifikasi dan Autentifikasi Tanaman Seurapoh (Chromolaena odorata Linn) Menggunakan Metode Kombinasi Spektroskopi Inframerah dan Kemometrik
title_sort klasifikasi dan autentifikasi tanaman seurapoh chromolaena odorata linn menggunakan metode kombinasi spektroskopi inframerah dan kemometrik
url https://bestjournal.untad.ac.id/index.php/kovalen/article/view/17460
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