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All Journal Techno.Com: Jurnal Teknologi Informasi Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Ilmiah Media Sisfo JOURNAL OF SCIENCE AND SOCIAL RESEARCH JOISIE (Journal Of Information Systems And Informatics Engineering) INTI Nusa Mandiri Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pendidikan Guru (JPG) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Journal of Education Research Algoritme Jurnal Mahasiswa Teknik Informatika Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Komtekinfo Indonesian Journal Computer Science (ijcs) Journal of Information System and Education Development Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) The Indonesian Journal of Computer Science CSRID
Ramadhanu, Agung
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : CSRID

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Segmentation and Classification of Vitamin C Content in Red Chili Pepper Images Using the Linear Discriminant Analysis (LDA) Method: Segmentation and Classification of Vitamin C Content in Red Chili Pepper Images Using the Linear Discriminant Analysis (LDA) Method Ramadhanu, Agung; Chan, Fajri Rinaldi; Yasmin, Nabilla; Negoro, Wahyu Saptha; Mardison, Mardison; Hendri, Halifia
CSRID (Computer Science Research and Its Development Journal) Vol. 17 No. 2 (2025): Juni 2025
Publisher : LPPM Universitas Potensi Utama

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Abstract

The vitamin C content in red chili peppers plays a crucial role in meeting nutritional needs, particularly in free nutritious lunch programs. Red chili peppers are one of the essential sources of vitamin C in daily consumption. However, vitamin C content in chilies can degrade due to storage and drying processes. This study develops a segmentation and classification method for vitamin C content in red chili pepper images using Linear Discriminant Analysis (LDA) as a faster and more efficient alternative to conventional laboratory methods. The dataset consists of 100 red chili images categorized into fresh and dried chilies. The analysis process includes preprocessing, feature extraction of color and texture (RGB, HSV, GLCM), dimensionality reduction, and classification using LDA. Experimental results show that this method achieves 99% accuracy on training data and 97% on test data, demonstrating that digital image processing can serve as a non-destructive approach for food quality estimation. This approach has the potential to be applied in food quality monitoring within the food industry and public nutrition programs.
Co-Authors Afriadi Afriadi Afriadi, A Agus Salim, David Ahmad Syarif ahmad yani Akbar, Syifa Chairunnissa Deliva Al-arrafi, Muhammad Ikhsan Angga Angga Anggara Putra, Febri Antoni Antoni Chairunnissa Deliva Akbar, Syifa Chan, Fajri Rinaldi Devita, Retno Dicky Imansyah, Muhammad Dila, Rahmah Enggari, Sofika Erlanda, Hadrian Fajri Saputra, Charisman Gafari, Abuzar Gunadi Widi Nurcahyo Hadi Syahputra Halifia Hendri Harnaranda, Jefri Hidayati, Dzil Honestya, Gabriela Ilmawan, Fachrul Irsyad, As'Ary Sahlul Karseno, Doni Khomsi, Ahmad Mardison Mardison Masri, Taufik Muhammad Idris Nadia, Nadia Aini Hafizhah Negoro, Wahyu Saptha Nurdiansyah, Ali Permata, Edo Pertiwi, Yuliana Pratama, Dede Putra, Kharisma Utama Rahmad Rahmad Rahmad, R Rianti, Eva Riati, Itin Riyan Saputra, Riyan Rosa, Imelda Sajida, Mayang salim, alfajri Saputra, Randy Sarjon Defit Selvia, Dina Silfia Andini, Silfia Sumijan, S Sutri, Ridwan Syafril Syafril Syafril, S Syalsabilla, Adinda Tesa Vausia Sandiva Utama Putra, Kharisma Vidyanti, Angela Citra Wirdawati, Wira Yanti, Rahma Yasmin, Nabila Yasmin, Nabilla Yemi, Leonardo Yesi Betriana Roza, yesibetriana_18 Yolanda Yolanda, Yolanda Yosfand, Windra Yuhandri Yulihartati, Sandra