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Laia, Erniaman
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Pengaruh Penggunaan Mulsa Terhadap  Sifat Fisika Tanah Dan Kualitas Produksi Tanaman Harefa, Ricardo Fondraradodo; Laia, Erniaman
Jurnal Ilmu Pertanian dan Perikanan Vol. 1 No. 1 (2024): PENARIK - Agustus
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/penarik.v2i3.106

Abstract

  This study aims to analyze the effects of different types of mulch on soil physical properties, including moisture, temperature, and porosity, as well as on crop production quality. The experiment was conducted using a Randomized Block Design (RBD) with four treatments: no mulch (control), silver-black plastic mulch, rice straw mulch, and sawdust mulch. The results indicate that mulch usage significantly increased soil moisture and maintained a more stable temperature compared to the control. Silver-black plastic mulch increased soil temperature by 2–3°C, while organic mulches provided higher moisture retention and improved porosity. Furthermore, plant production quality, including plant height, branch count, and fruit yield, was better in the mulched treatments, especially with plastic mulch. Economic analysis suggests that organic mulch is more cost-effective in the long term and supports sustainable agricultural practices. Thus, mulch usage is an effective technique to improve soil quality and crop productivity.
Penggunaan Persamaan Diferensial Dalam Pertumbuhan Tanaman Laia, Erniaman; Bawamenewi, Putri Harta; Hia, Apriani
Jurnal Ilmu Pertanian dan Perikanan Vol. 1 No. 2 (2024): PENARIK - Desember
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/penarik.v1i2.290

Abstract

The use of differential equations in plant growth is an effective mathematical approach to describe and model the dynamics of plant growth. Differential equations are used to depict changes in plant size and biomass over time, considering factors such as water availability, light, temperature, and nutrients. These models help in predicting agricultural yields, gaining deeper insights into plant physiological processes, and optimizing cultivation practices. By utilizing differential equations, researchers can develop more accurate plant growth models, which are useful in natural resource management and increasing agricultural productivity
Co-Authors Bawamenewi, Putri Harta Harefa, Ricardo Fondraradodo Hia, Apriani