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Kandungan karotenoid, antioksidan, dan kadar air dua varietas cabai rawit pada tingkat kematangan berbeda dan deteksi non-destruktif

Jurnal AGRO · Vol. 8 No. 2 (2022) · pp. 212–225

DOI
10.15575/14650
ISSN
2407-7933
Published
2022-01-01
Publisher
Jurusan Agroteknologi
Language
eng

Abstract

Cabe rawit umumnya berwarna hijau, jingga dan merah. Tiap tingkat kematangan memiliki kualitas yang berbeda. Teknologi non-destruktif visible/near infrared spectroscopy (Vis/NIRS) telah banyak digunakan untuk memprediksi kualitas secara cepat dan akurat serta tidak merusak. Penelitian bertujuan untuk mengetahui kandungan kadar air, total karotenoid dan antioksidan dua varietas buah cabai rawit dengan tingkat kematangan berbeda dan memprediksi kualitas secara non-destruktif menggunakan Vis/NIRS. Penelitian dilakukan di Laboratorium Hortikultura, Fakultas Pertanian, Universitas Padjadjaran. Penelitian disusun dalam rancangan acak lengkap (RAL) dengan 6 perlakuan yaitu varietas ‘Manik’ dan ‘Domba’, yang dipanen pada 20 hari setelah bunga mekar (HSBM), 40 HSBM dan 60 HSBM, serta diulang 5 kali. Data dianalisis dengan analisis varians (ANOVA). Hasil penelitian menunjukkan bahwa varietas ‘Manik’ and ‘Domba’ yang dipanen pada 20 HSBM memiliki kandungan kadar air dan antioksidan tertinggi sedangkan total karotenoid meningkat pada buah matang. Model kalibrasi dan uji validasi silang kadar air, total karotenoid, dan antioksidan mendapatkan nilai Rkal  ≥ 0,87 dan Rval ≥ 0,84. Berdasarkan hasil tersebut, maka kandungan air dan antioksidan terbesar yaitu buah cabai rawit hijau sedangkan total karotenoid tertinggi pada buah cabai rawit merah. Vis/NIRS dapat digunakan untuk mendeteksi kandungan air, total karotenoid dan antioksidan pada buah cabai rawit. Generally, cayenne pepper is coloring in green, orange, and red. Each maturity level has a different quality. A non-destructive technology, visible/near infrared spectroscopy (Vis/NIRS), has been widely used to predict the quality quickly and accurately without causing damage. The study aimed to determine water content, total carotenoids, and antioxidant of two varieties cayenne pepper with different maturity levels and to predict quality non-destructively using Vis/NIRS. The research was conducted at the Horticulture Laboratory, Agriculture Faculty, Universitas Padjadjaran. The research was arranged in a completely randomized design (CRD) with 6 treatments, namely ‘Manik’ and ‘Domba’ varieties harvested at 20 days after flowering (DAF), 40 DAF and 60 DAF, and 5 replications with analysis of variance (ANOVA). The results showed that ‘Manik’ and ‘Domba’ harvested at 20 DAF had the highest water content and antioxidant while the total carotenoids increased in ripe fruit. The calibration model and cross-validation of water content, total carotenoids, and antioxidants obtained values of Rcal 0.87 and Rval 0.84. Based on these results, the highest water and antioxidant content was green cayenne pepper, while the highest total carotenoids were in red cayenne pepper. Vis/NIRS can be used to detect water content, total carotenoids, and antioxidants in cayenne pepper.

Keywords

Collaboration network of the authors

18 authors · 48 co-authorship links

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Co-authorOrganisationJoint articles
Syariful MubarokAffiliation unknown6
Yuda HadiwijayaAffiliation unknown4
Rika Bhernike SitepuAffiliation unknown3
Ade Risti OktaviaAffiliation unknown3
Rahmatillah RamadhaniAffiliation unknown2
Yusuf Eka MaulanaAffiliation unknown2
Diky IndrawibawaAffiliation unknown1
Gustiono Tegar PrasetyoAffiliation unknown1
Reginawanti HindersahAffiliation unknown1
Pujawati SuryatmanaAffiliation unknown1
Diyan HerdiyantoroAffiliation unknown1
Agus SusantoAffiliation unknown1
Oviyanti MulyaniAffiliation unknown1
Rija SudirjaAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.uinsgd.ac.id/index.php/ja/oai, first harvested 7 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Kandungan karotenoid, antioksidan, dan kadar air dua varietas cabai rawit pada tingkat kematangan berbeda dan deteksi non-destruktif</dc:title>
	<dc:creator>Kusumiyati, Kusumiyati</dc:creator>
	<dc:creator>Putri, Ine Elisa</dc:creator>
	<dc:creator>Sutari, Wawan</dc:creator>
	<dc:creator>Hamdani, Jajang Sauman</dc:creator>
	<dc:subject xml:lang="en-US">Analisis kimia</dc:subject>
	<dc:subject xml:lang="en-US">Antioksidan</dc:subject>
	<dc:subject xml:lang="en-US">Fitokimia</dc:subject>
	<dc:subject xml:lang="en-US">Kualitas buah</dc:subject>
	<dc:subject xml:lang="en-US">Radikal bebas</dc:subject>
	<dc:description xml:lang="en-US">Cabe rawit umumnya berwarna hijau, jingga dan merah. Tiap tingkat kematangan memiliki kualitas yang berbeda. Teknologi non-destruktif visible/near infrared spectroscopy (Vis/NIRS) telah banyak digunakan untuk memprediksi kualitas secara cepat dan akurat serta tidak merusak. Penelitian bertujuan untuk mengetahui kandungan kadar air, total karotenoid dan antioksidan dua varietas buah cabai rawit dengan tingkat kematangan berbeda dan memprediksi kualitas secara non-destruktif menggunakan Vis/NIRS. Penelitian dilakukan di Laboratorium Hortikultura, Fakultas Pertanian, Universitas Padjadjaran. Penelitian disusun dalam rancangan acak lengkap (RAL) dengan 6 perlakuan yaitu varietas ‘Manik’ dan ‘Domba’, yang dipanen pada 20 hari setelah bunga mekar (HSBM), 40 HSBM dan 60 HSBM, serta diulang 5 kali. Data dianalisis dengan analisis varians (ANOVA). Hasil penelitian menunjukkan bahwa varietas ‘Manik’ and ‘Domba’ yang dipanen pada 20 HSBM memiliki kandungan kadar air dan antioksidan tertinggi sedangkan total karotenoid meningkat pada buah matang. Model kalibrasi dan uji validasi silang kadar air, total karotenoid, dan antioksidan mendapatkan nilai Rkal  ≥ 0,87 dan Rval  ≥ 0,84. Berdasarkan hasil tersebut, maka kandungan air dan antioksidan terbesar yaitu buah cabai rawit hijau sedangkan total karotenoid tertinggi pada buah cabai rawit merah. Vis/NIRS dapat digunakan untuk mendeteksi kandungan air, total karotenoid dan antioksidan pada buah cabai rawit. Generally, cayenne pepper is coloring in green, orange, and red. Each maturity level has a different quality.  A non-destructive technology, visible/near infrared spectroscopy (Vis/NIRS), has been widely used to predict the quality quickly and accurately without causing damage. The study aimed to determine water content, total carotenoids, and antioxidant of two varieties cayenne pepper with different maturity levels and to predict quality non-destructively using Vis/NIRS. The research was conducted at the Horticulture Laboratory, Agriculture Faculty, Universitas Padjadjaran. The research was arranged in a completely randomized design (CRD) with 6 treatments, namely ‘Manik’ and ‘Domba’ varieties harvested at 20 days after flowering (DAF), 40 DAF and 60 DAF, and 5 replications with analysis of variance (ANOVA). The results showed that ‘Manik’ and ‘Domba’ harvested at 20 DAF had the highest water content and antioxidant while the total carotenoids increased in ripe fruit. The calibration model and cross-validation of water content, total carotenoids, and antioxidants obtained values of Rcal 0.87 and Rval 0.84. Based on these results, the highest water and antioxidant content was green cayenne pepper, while the highest total carotenoids were in red cayenne pepper. Vis/NIRS can be used to detect water content, total carotenoids, and antioxidants in cayenne pepper.</dc:description>
	<dc:publisher xml:lang="en-US">Jurusan Agroteknologi</dc:publisher>
	<dc:date>2022-01-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.uinsgd.ac.id/index.php/ja/article/view/14650</dc:identifier>
	<dc:identifier>10.15575/14650</dc:identifier>
	<dc:source xml:lang="en-US">Jurnal AGRO; Vol. 8 No. 2 (2021); 212-225</dc:source>
	<dc:source>2407-7933</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.uinsgd.ac.id/index.php/ja/article/view/14650/pdf</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Kusumiyati Kusumiyati, Ine Elisa Putri, Wawan Sutari, Jajang Sauman Hamdani</dc:rights>
</oai_dc:dc>