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Perbandingan Laju Fotosintesis Pada Tanaman Yang Tumbuh Di Tempat Terang Dan Gelap Debora Zega, Novita; Mendrofa, Elsa Greta; Gea, Chelsa Julian; Halawa, Lola Sri Wahyuni; Lase, Herni Susanti; Waruwu , Irwilan; Lase, Natalia Kristiani
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.v1i2.225

Abstract

This study was conducted to explore the differences in the rate of photosynthesis in plants growing in light and dark environments, focusing on corn (Zea mays) and mung bean (Vigna radiata). Photosynthesis is an essential process that allows plants to generate energy from sunlight, with light being a key factor that determines the efficiency of this process. In this study, the plants were grown in two different conditions: a light environment with direct sunlight exposure and a dark environment with no light exposure. Observations were made over a period of one month to record the morphological and physiological differences in the plants. The results showed that plants growing in the light environment had a higher rate of photosynthesis, indicated by fresh green leaves due to optimal chlorophyll formation.  
Stabilitasi Agegrat Tanah Dan Pengaruhnya Terhadap Penurunan Erosi Dilahan Terjal Zalukhu, Cipria Agus Iman; Mendrofa, Elsa Greta
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.v2i2.75

Abstract

Soil erosion on steep land is a major problem which results in the loss of the fertile soil layer and has an impact on reducing land productivity and environmental quality. This research aims to analyze the effectiveness of soil aggregate stabilization in reducing the rate of erosion on steep land using several methods, namely the addition of organic material, terracing and bunds. This research was carried out in situ on land with a slope of 15-30%, where each method was tested to measure its effect on reducing erosion rates. The research results showed that terracing provided the most significant reduction in erosion rates of 15.8 tonnes/ha/year, followed by bunds and the addition of organic material. Soil aggregate stabilization techniques, especially terracing, have proven effective in reducing erosion on steep land by increasing aggregate stability and slowing surface flow. These findings provide recommendations for appropriate soil stabilization methods to maintain the sustainability and productivity of steep land.
Optimasi Sistem Irigasi Dengan Pendekatan Matematika Dan Pemodelan Hidrologi Zalukhu, Cipri Agus Iman; Mendrofa, Elsa Greta; Zebua, Riki Arman; Mendrofa, Bicard Ridoan
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.v1i2.300

Abstract

Efficient management of irrigation systems is crucial to enhance agricultural yields, especially in areas with limited water resources. This study aims to optimize irrigation systems using mathematical approaches and hydrological modeling. In this research, hydrological models are used to predict water availability, while mathematical methods are applied to determine the optimal water allocation to meet crop needs at the right time and in the appropriate amount. The results of this study can help design more efficient irrigation systems, reduce water waste, and improve agricultural sustainability. The application of this model can provide concrete solutions to address challenges posed by climate change and the management of increasingly limited water resources.
Analisis Model Matematika Dasar Dalam Strategi Pengelolaan Hama Tanaman Mendrofa, Elsa Greta; Munika, Tari
Jurnal Ilmu Pertanian dan Perikanan Vol. 2 No. 1 (2025): PENARIK - April
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/penarik.v2i1.293

Abstract

Pest management is one of the greatest challenges in agriculture, affecting crop yield and quality. To optimize pest control, the application of basic mathematical models can provide a more efficient, systematic approach to planning control strategies. This paper analyzes various basic mathematical models used in pest management, including models for pest population prediction and the dynamics of pest-plant interactions. Additionally, the study discusses the application of these models in designing control policies that minimize pest-related losses while considering environmental, economic, and technical factors. The results of the analysis show that the application of mathematical models can enhance pest management efficiency by providing data-driven guidance in determining the appropriate timing and type of intervention. This research aims to contribute to the development of more sustainable and evidence-based pest management strategies.