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All Journal Jurnal Penelitian Pascapanen Pertanian Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering)
Evi Savitri Iriani, Evi Savitri
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Agriculture, Biological Sciences & Forestry Engineering

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Nanocellulose synthesis from pineapple fiber and its application as nanofiller in polyvinyl alcohol-based film Iriani, Evi Savitri; Wahyuningsih, Kendri; Sunarti, Titi Candra; Permana, Asep Wawan
Jurnal Pascapanen Pertanian Vol 12, No 1 (2015): Journal Penelitian Pascapanen Pertanian
Publisher : Balai Besar Penelitian dan Pengembangan Pascapanen Pertanian

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Abstract

A variety of attempts have been made to reduce the dependence on petroleum raw materials based plastics which are limited supply and difficult to degrade, so it can cause the environment problems. Polyvinyl Alcohol/PVA, one of the water-soluble polymer, has good compatibility with fillers, i.e., nanocellulose addition, so it can resulted a composite films that are environmentally friendly and the mechanical properties close to conventional plastic. The objectives of research was to know the effect of pineapple nanocellulose fibers addition on the improvement of the mechanical properties of composite films based on polyvinyl alcohol. The method for manufactured of composite films using solution casting. A simple in a one-pot process was carried out by mixing of PVA solution in various concentration of pineapple nanocellulose fibers (10% - 50%) and glycerol with 2 levels (0% and 1%). Films observations were tensile strength, elongation, crystallinity, and morphology. The results shows that the addition of nanocellulose fibers 10-40% were effective in increasing tensile strength and elongation, but the higher addition (of up to 50%) resulted in decreased elongation. The addition of glycerol on the composite film tends to lower the tensile strength and elongation. This is supported by the XRD data showed that the addition of nanocelullose was also effective to improve the crystallinity properties of the films, but the properties of crystallinity decreased after adding glycerol. The best mechanical properties of composite film produced by the treatment on nanocellulose 40% addition and without glycerol.
Portable Near-Infrared Spectroscopy and Support Vector Regression for Fast Quality Evaluation of Vanilla (Vanilla planifolia) Widyaningrum, Widyaningrum; Purwanto, Yohanes Aris; Widodo, Slamet; Supijatno, Supijatno; Iriani, Evi Savitri
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.515-526

Abstract

Vanilla (Vanilla planifolia) is a high-value agricultural product, with its quality influenced by essential factors such as moisture and vanillin content. Conventional techniques for evaluating these characteristics are inefficient, require sample destruction, and are impractical for swift assessments. This research explores the feasibility of using portable Near-Infrared (NIR) spectroscopy combined with Support Vector Regression (SVR) to enable quick and noninvasive property prediction. Spectral information was obtained from vanilla samples using two portable NIR instruments, SCiO (740–1070 nm) and Neospectra (1350 2550 nm). Preprocessing techniques such as normalization, SNV, MSC, first derivative, first derivative-SNV, and first derivative-MSC were applied. For moisture content prediction, SCiO achieved an R² of 0.768, an RMSE of 4.720%, an RPD of 2.075 and an RER 10.197 using Min-Max normalization, while Neospectra yielded an R² of 0.758, an RMSE of 5.161%, an RPD of 2.033 and an RER 9.325 with MSC preprocessing. In contrast, predicting vanillin concentration proved more challenging, with SCiO achieving moderate accuracy with an R² 0.406, an RMSE 0.379%, an RPD 1.297, an RER 5.039, and Neospectra demonstrating limited performance with an R² 0.172, an RMSE 0.576%, an RPD 1.098 and an RER 3.315. These findings highlight the potential of portable NIR spectroscopy as a practical tool for assessing vanilla quality, particularly for moisture content, in industrial and field applications. Keywords: Moisture content, Portable NIR spectroscopy, Support vector regression, Vanilla planifolia, Vanillin content.
Co-Authors Asep Wawan Permana, Asep Wawan Kendri Wahyuningsih, Kendri Slamet Widodo Supijatno Titi Candra Sunarti Widyaningrum Widyaningrum