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All Journal Teknotan: Jurnal Industri Teknologi Pertanian Jurnal Keteknikan Pertanian Jurnal Teknologi Pertanian Journal of Applied Agricultural Science and Technology Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Teknologi Pertanian Andalas AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Journal of Applied Agricultural Science and Technology Rona Teknik Pertanian
Cherie Dinah, Cherie
Universitas Andalas
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Education Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Other

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Application NIR Spectroscopy for Prediction Soluble Solids Content and Classification of Tomatoes During Storage Andasuryani Andasuryani; Raisal Maulana; Dinah Cherie
Jurnal Keteknikan Pertanian Vol. 13 No. 4 (2025): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.4.653-666

Abstract

Tomatoes are a horticultural commodity that is highly susceptible to quality degradation after harvest; therefore, appropriate postharvest handling is required to maintain quality. This study aims to evaluate the potential of near-infrared (NIR) spectroscopy for assessing tomato quality by applying partial least squares (PLS) to predict soluble solids content (SSC) and linear discriminant analysis (LDA) for classification based on storage temperature and ripeness level, with SNV pretreatment. Tomato samples were stored at 10 °C and 28 °C and observed at the breaker and pink ripeness stages. The best PLS model was obtained with SNV pretreatment and 10 latent variables, yielding R² calibration = 0.89, RMSEC = 0.19°Brix, R² prediction = 0.80, and RMSEP = 0.26 °Brix. The RPD value of 2.04 and the RER of 8.08 indicate that the model has a good predictive ability for evaluating tomato SSC. Meanwhile, LDA distinguished storage temperature better (accuracy 89.13%) than ripeness level (accuracy 65.21%). These results demonstrate that NIR spectroscopy can be used as an effective nondestructive method for analyzing the SSC of tomatoes during storage, reflecting the levels of sugars, organic acids, and other soluble compounds that contribute to the taste and overall fruit quality. Keywords: NIR Spectroscopy, Soluble Solids Content, Storage Temperature, Ripeness Level, Tomato.
Co-Authors - Andasuryani Aninda T. Puari Arif Rizkika Putra Azkiya Wahyu Novianda Daimon Syukri Firdaus Firdaus Guci, Krisna Guspa, Monica Ifmalinda Monica Guspa Muhammad Makky Novizar Nazir Putri Wulandari Zainal Rahmi, Suaidah Raisal Maulana Ratna Wardani Renny Eka Putri, Renny Eka Rini B Rizka Fadhilah Rizka Fadhilah Santosa Santosa Santosa Sari, Cindy Fatika Sinambela, Juli Arifiansyah Sirtin, Ardillah Anggraini Siti Azzahra Kurnia Siti Azzahra Kurnia Suaidah Rahmi Tasya Putri Herman Tuty Anggraini Widi Darmadi Winda Fauzia Zhefira Fitriyah