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Jurnal Ilmu Pertanian dan Perikanan (PENARIK)
Published by CV. Sinar Howuhowu
ISSN : -     EISSN : 30636469     DOI : https://doi.org/10.70134/penarik
Core Subject : Economy, Science, Education, Agriculture,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Economics, Econometrics & Finance Other
Jurnal Ilmu Pertanian dan Perikanan (PENARIK) mempublikasikan artikel penelitian berfokus pada berbagai aspek ilmu pertanian dan perikanan. Kami menerima manuskrip yang mencakup topik Pertanian seperti Agronomi, Hortikultura, Ilmu Tanah, Proteksi Tanaman, Agroekologi, Teknologi Pertanian, Ekonomi Pertanian, Keamanan Pangan dan Topik Perikanan seperti Akuakultur, Pengelolaan Perikanan, Ekologi Perairan, Teknologi Pengolahan Ikan, Genetika dan Bioteknologi Perikanan, Ekonomi Perikanan, Kesehatan Ikan, Lingkungan dan Pengelolaan Kualitas Air.
Arjuna Subject : Ilmu Pertanian dan Biologi (Semua) - Ilmu Pertanian dan Biologi (Lain-Lain)
Articles 140 Documents
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Efektivitas Pestisida Alami Berbahan Dasar Daun Sirsak Pada Hama Tanaman Terung Debora Zega, Novita; Lase, Edwin Kaskar Jaya; Hura, Jul Krisman; Gulo, Murniwati
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.v1i2.291

Abstract

This research evaluates the effectiveness of soursop leaf extract (Annona muricata) as a natural pesticide in controlling pests on eggplant plants (Solanum melongena). The use of natural pesticides is an environmentally friendly alternative to reduce the negative impact of chemical pesticides on the environment and human health. Soursop leaf extract is obtained through a manual crushing method without solvents and applied directly to eggplant plants infected with pests, especially aphids (Aphididae) and fruit caterpillars (Leucinodes orbonalis). Observations were made within 24 hours to assess changes in pest populations after application. The results of the study showed that soursop leaf extract was able to reduce the pest population significantly, with the majority of pests experiencing disturbances in their feeding activity or death after treatment. The effectiveness of this natural insecticide is thought to come from the content of bioactive compounds such as acetogenin, flavonoids and alkaloids which play a role in inhibiting pest metabolism. Although initial results show positive potential, further research is needed to test its long-term effectiveness and impact on eggplant plant growth and productivity. This study contributes to the development of more sustainable pest control methods in organic farming systems.
Optimasi Penggunaan Pupuk Dengan Model Matematika Gea, Chelsa Julian; Ndruru, Eka Julianti; Lase, Septiani; Laoli, Monica Endang Lestari
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.v1i2.299

Abstract

Efficient use of fertilizers is crucial for increasing agricultural yields while maintaining environmental sustainability. This research aims to optimize fertilizer usage through a mathematical model that can describe the relationship between the amount of fertilizer used and the agricultural output achieved. The model employs optimization theory to determine the most effective fertilizer dosage based on various factors such as crop type, soil conditions, and climate. With this approach, it is expected that fertilizer use can be carried out efficiently, reducing waste and minimizing negative environmental impacts. The results of this model can provide recommendations for optimal fertilizer dosages for farmers to improve productivity while considering costs and minimal ecological impact
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.
Pengaruh Variasi Intesitas Cahaya Terhadap Efisiensi Fotosintesis Pada Pertumbuhan Tanaman Waruwu, Arni Lestari; Mendrofa, Heppy Kardiani; Tafonao, Fedilina; Gulo, Namyra Olivia; Zai, Manyupril Lukevin Fatlow; Waruwu, Patricia Zeni Febriani; Gulo, Perti Citra Damarni; Zebua, Helmin Parida
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.v1i2.306

Abstract

This study examines the effect of varying light intensity on photosynthesis efficiency in plant growth. Photosynthesis is a vital process for plants, relying on solar energy to convert carbon dioxide and water into glucose and oxygen. The intensity of light received by plants significantly determines the efficiency of photosynthesis and plant growth. This research was conducted using a literature review method, analyzing various scientific sources to understand how light intensity affects the photosynthesis process. The results indicate that optimal light intensity enhances the rate of photosynthesis, while excessively low or high intensity can hinder plant growth. Other factors, such as light spectrum, light duration, and plant adaptation to specific light conditions, also influence photosynthesis efficiency.
Perbedaan Pertumbuhan Tanaman Yang Diletakkan Di Tempat Terang Dengan Tempat Gelap Hulu, Stefani Angel Kristin; Harefa, Wendi Warisman; Waruwu, Basri Kalvianus; Frans Zefrindo Two Waruwu; Erwin Saputra Gea; Ariel Nezer Perlindungan Halawa
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.v2i1.226

Abstract

This study aims to explore the effect of lighting on plant growth and development. Two different lighting conditions, namely bright and dark places, were selected as independent variables in this study. The samples used in this study were mung bean and corn (Phaseolus vulgaris) plants. The selection of mung bean and corn plants as samples was based on several considerations, including: Mung bean and corn plants are easy to plant and care for, so they are suitable for research that requires intensive observation over a certain period of time. The results of the study showed that plants placed in bright places showed better growth compared to plants placed in dark places. Plants in bright places had higher plant heights, more leaves, and greater leaf weight. This shows that sufficient lighting is an important factor in supporting plant gowth. The conclusion of this study is that lighting plays an important role in plant growth. Adequate lighting can increase photosynthesis, which in turn supports plant growth and development. This study provides insight into the importance of lighting in agriculture and can be a basis for further research on optimizing lighting conditions for optimal plant growth.
Perbedaan Tanaman Kacang Hijau Dan Jagung Di Tempat Terang Dan Gelap Harita, Reza Septa; Bernardus Zebua; Gulo, Zefri Wiliam; Richardo Harefa; Sastra Alberta Hia
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.v2i1.236

Abstract

This study investigates the growth differences between maize (Zea mays) and mung bean (Vigna radiata) when cultivated under light and dark conditions. The research aimed to understand the influence of light availability on the germination and early growth stages of these plants. A controlled experiment was conducted where both plants were grown under two conditions: full light exposure and complete darkness. Key growth parameters, including stem length, leaf development, and overall health, were measured over a set period. The results showed significant differences in growth patterns. Maize exhibited better growth under light conditions, with robust stem development and larger leaves, while mung beans demonstrated some adaptability to dark conditions, though with elongated stems and weaker structural integrity. These findings emphasize the role of light in plant growth and highlight species-specific adaptations to environmental conditions. This research provides insights into optimizing growth strategies for these crops in varying agricultural settings.
Optimasi Matematika Untuk Penjadwalan Penanaman Tanaman Yang Efisien Dan Berkelanjutan Ziliwu, Fince Mega Ceria; Prasetyo
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.v2i1.284

Abstract

The scheduling of plant cultivation that is efficient and sustainable is a crucial aspect of agriculture to maximize agricultural output and maintain environmental sustainability. This study proposes the use of mathematical optimization methods to design a planting schedule that not only considers production factors but also long-term sustainability. The developed model integrates variables such as water requirements, sunlight, soil type, and seasons to ensure optimal plant cultivation. In this research, linear programming techniques and heuristic search algorithms are used to determine the planting schedule that provides the best results, considering resource limitations and ecological impacts. The results of this optimization model show an increase in agricultural production efficiency and contribute to environmental preservation.   
Optimasi Pengambilan Keputusan Budidaya Padi Organik Dengan Model Metriks Terboboti: Studi Kasus Di Desa Afia, Kota Gunungsitoli zega, Krisnawati; Khoiriyah
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.v2i1.286

Abstract

This study developed a weighted matrix model to assist organic rice farmers in Desa Afia, Gunungsitoli City, in making more efficient and sustainable decisions. The model integrates key factors such as soil quality, climate, resource availability, and economic aspects.  Analysis results indicate that the model can identify optimal cultivation strategies that enhance crop yields and profitability while considering environmental sustainability. This model integrates various key factors that influence the productivity and sustainability of organic agriculture, including soil quality (pH, organic matter content, texture), climate conditions (rainfall, temperature, sunshine), resource availability (water, organic fertilizer, labor), and economic aspects (rice selling price, production costs). Analysis using this model demonstrates its ability to identify optimal cultivation strategies that can enhance crop yields and farmer profitability while minimizing negative environmental impacts.  These optimal strategies include selecting superior varieties, applying appropriate organic fertilization techniques, efficient water management, and integrated pest management. This research makes a significant contribution to the development of appropriate technology to support sustainable organic agriculture in the region and can be replicated in other areas with similar characteristics.
Integration Sistem Dalam Meningkatkan Efisiensi Dan Inventivitas Pertanian Berkelanjutan Mendrofa, Marta Tristanti; Wahyuni
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.v2i1.292

Abstract

Sustainable agriculture plays a key role in addressing global food security challenges. In this case, the application of technology is very important to increase efficiency and productivity in the agricultural sector. The aim of this research is to explore the application of various solutions, such as sensor-based monitoring systems, mobile applications for land management, and agricultural data analysis that can help farmers make more informed decisions. Research findings show that the use of technology not only contributes to increasing crop yields, but also optimizes the use of resources such as water and fertilizer, thereby encouraging more environmentally friendly agricultural practices. Thus, integration in sustainable agriculture can be an effective approach in achieving food security and sustainability goals.  
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.         

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