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All Journal Vegetalika Innofarm Jurnal Inovasi Pertanian Jurnal Simantec REKAYASA Jurnal Riset Rumpun Ilmu Tanaman Bengawan :Jurnal Pengabdian Masyarakat Jurnal Informasi Pengabdian Masyarakat Jurnal Media Akademik (JMA) Jurnal Pelayanan Masyarakat ALKHIDMAH: Jurnal Pengabdian dan Kemitraan Masyarakat
Arifah Husna
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Social Sciences Other

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Pemodelan Sortasi Buah Cabai Berdasarkan Karakteristik Morfologi Melalui Pendekatan Analisis Citra Digital Arifah Husna; Fatiyah Rahmah; Honesh Setia N.; Latifah Dwi S.; Yussy Purwaningsih
Jurnal Riset Rumpun Ilmu Tanaman Vol. 5 No. 1 (2026): April: JURRIT: Jurnal Riset Rumpun Ilmu Tanaman
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrit.v5i1.9728

Abstract

Sorting is an important stage in postharvest handling of chili peppers to obtain products with uniform quality. Manual sorting processes generally require more time and have the potential to produce errors due to observer subjectivity. This study aimed to model chili pepper (Capsicum sp.) sorting using a digital image analysis approach with ImageJ software and to compare its measurement effectiveness with conventional manual methods. The study employed an experimental method with a quantitative approach through several stages, including manual measurement, image acquisition, image processing using ImageJ, and data analysis. The observed parameters included fruit size, object area, color intensity, and visual characteristics of chili peppers. The results showed that measurements obtained using ImageJ exhibited a similar trend to manual measurements in identifying the relative size of chili fruits. The object area values generated through image analysis indicated variations in size among samples, while color characteristics reflected differences in fruit maturity levels. The use of ImageJ provided a more objective, faster, and more consistent measurement process compared to manual methods. Digital image analysis has potential for further development as an automated sorting system in chili postharvest handling.
Co-Authors Achmad Amzeri Ahmad Syaiful Umam Amalia Tetrani Sakya Chanda Firdaus Chanda Firdaus Dian Fedita Sari Dian Krisna Firnanda ENDANG YUNIASTUTI Fatiyah Rahmah Gabi Kariza Ilhami Hairul Anwar Honesh Setia N. Ihsan, Mohamad Latifah Dwi S. Lestari, Mufida Diah Lestari, Mufida Diah Maria Ulfa Mercyana, Vidy Mohamad Ihsan Mohamad Ihsan Nandariyah Nandariyah Pamujiasih, Tri Rachmawatie, Sri Julie Rehino Yanu Seto Rehino Yanu Seto Reyhana Azarela Olgarista Rizqi Rahma Adinda Royhanatul Jannah Sandy Pramudito Solikah, Umi Nur Srie Juli Rachmawatie Sudianto, Achmad Imam Umam, Ahmad Syaiful Umi Nur Solikah Umi Nur Solikah Vivin Fiana Yussy Purwaningsih