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All Journal Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Ilmiah Rekayasa Pertanian dan Biosistem JMM (Jurnal Masyarakat Mandiri) Jurnal Agrotek UMMat Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Agritechno Jurnal Gema Ngabdi Protech Biosystems Journal
Diah Ajeng Setiawati
Program Studi Teknik Pertanian Fakultas Teknologi Pangan & Agroindustri Universitas Mataram
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mechanical Engineering Social Sciences Other

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Model Arrhennius Untuk Memprediksi Penyimpanan Kelapa Parut Kering Guyup Mahardhian Dwi Putra; Diah Ajeng Setiawati
Protech Biosystems Journal Vol 1, No 1 (2021): Protech Biosystems Journal
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/protech.v1i1.5976

Abstract

Dry grated coconut is a processed coconut product that can be directly used by consumers without requiring further processing. In order for dried coconut products to last longer, a good storage process is needed. Storage is intended to maintain the value of the stored commodity. One of the models used for estimating shelf life is the Arrhenius model. Parameters in this study were water content, temperature and humidity. Temperature parameters consisted of three treatments,i.e 30°C, 35°C and 40°C. The results showed a decrease in water content data obtained by using the Arrhenius method at each storage temperature for a temperature of 30°C that is 103.9 days, a temperature of 35°C is 74 days and a temperature of 40oC is 60.5 day.
Comparative Analysis of Growth Models for Lettuce (Lactuca sativa) in a Plant Factory under Red-Blue LED Treatment Guyup Mahardhian Dwi Putra; Gagassage Nanaluih De Side; Diah Ajeng Setiawati; Nia Kurniati
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 4 (2025): August 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i4.1452-1464

Abstract

The growth of lettuce (Lactuca sativa) in controlled environments such as Plant Factories is highly influenced by lighting, particularly under red-blue (RB) LED treatment. Accurate growth prediction models are essential for optimizing yield. This study compared four models linear, polynomial, logistic, and Gompertz to determine the best predictor of leaf area expansion. Leaf area measurements over 30 days were analyzed using Easy Leaf Area software. Results showed that the Gompertz model consistently outperformed others with the lowest Mean Absolute Percentage Error (MAPE) of 14.55% (slow), 39.51% (medium), and 29.13% (high), and the highest R² values of 0.99 across all growth categories. In contrast, linear and polynomial models exhibited extremely high MAPE values, exceeding 300% in most cases. The study concludes that the Gompertz model is the most accurate and biologically realistic for modeling lettuce growth in Plant Factory systems, offering robust predictive capability for sustainable precision agriculture.
Co-Authors Ansar Ansar Asih Priyati Baiq Sulasi Muliani Fakhrul Irfan Khalil Gagassage Nanaluih De Side Guyup Mahardhian Dwi Putra Ino Eben Lasroha L.Toruan Joko Sumarsono Muhammad Nasarudin Murad, Murad Nia Kurniati Sirajuddin H. Abdullah Sirajuddin Haji Abdullah Sirajudin Haji Abdullah Sopiyan Iqbal Sri Hartini Sukmawaty Sukmawaty Sukmawaty Sukmawaty Sumarjan Sumarjan