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Pb Heavy Metal Content, Growth and Yield of Four Kale Varieties (Ipomea reptans Poir.) due to Dosage of Chicken Manure with Sediment Media of Sewers Lia Amalia; Nunung Sondari; Budiasih; Tien Turmuktini; Elly Roosma Ria; Kovertina Rakhmi Indriana; Beni Komara
International Journal of Advanced Multidisciplinary Vol. 2 No. 4 (2024): International Journal of Advanced Multidisciplinary (January-March 2024)
Publisher : Green Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/ijam.v2i4.429

Food insecurity is a condition in an area, community or household where the level of security and availability does not meet the standards needed for the growth and health of the majority of the population. Kangkung is a heavy metal-absorbing weed plant that many people like as a vegetable. Food security in urban communities is limited by existing land and growing media, so using media from sewer sediment is an alternative. The experiment used a factorial Randomized Block Design (RAK), consisting of two factors, namely the dose of chicken manure (A) with 4 levels as follows: a0 : 0 t ha-1 (control), a1 : 10 t ha-1, a2 : 20 t ha-1 and a3 : 30 t ha-1 and Kangkung Variety (K) with 4 levels as follows: k0 : Serimpi Variety, k1 : Amanda Variety, k2 : Bangkok LP-1 Variety and k3 : Bika Variety, so there are 16 treatment combinations repeated 2 times. The research findings indicated that there was no significant correlation between the dosage of chicken manure and the plant type in terms of plant growth, yield, and absorption of PB heavy metals, with the exception of leaf count. The optimum dose of chicken manure is 5.05 t ha-1 in the Serimpi variety with a maximum number of leaves of 11.30 plants-1, 5.27 t ha-1 in the Amanda variety produces a maximum number of leaves of 16.68 plants-1 , 9.20 t ha-1 in the Bangkok LP-1 variety produces a maximum number of leaves of 16.77 plants-1 and 3.83 t ha-1 in the Bika variety produces a maximum number of leaves of 18.66 plants-1.

RESPONSE OF GA3 SOAKING CONCENTRATION TO THE VIABILITY AND VIGOR OF SEEDS OF TWO VARIETIES OF PAPAYA (CARICA PAPAYA L.): RESPON KONSENTRASI PERENDAMAN GA3 TERHADAP VIABILITAS DAN VIGOR BENIH DUA VARIETAS PEPAYA (CARICA PAPAYA L.) Wulan Julia Wati; R. Wahyono Widodo; Kovertina Rakhmi Indriana
ROCE : Jurnal Pertanian Terapan Vol. 1 No. 2 (2024): JPT ROCE 2, 2024
Publisher : PT. ROCE WISDOM ACEH

Show Abstract | Download Original | Original Source | Check in Google Scholar

The purpose of this study was to determine the effect of the comparison of soaking concentrations of GA 3 on the viability and vigor of seeds of two varieties of papaya. The experiment was carried out in the laboratory and screen house of the Food Crops and Horticulture Seed Supervision and Certification Center (BPSBTPH) of the Food Crops and Horticulture Service, Jawa Barat Province, Bojongsoang, Bandung Regency, at an altitude of 630 m above sea levels from April to May 2023. The design used was an environmental design using a two-factor Split Plot Design which was repeated three times. The first factor as the main plot was the variety consisting of two stages including v1 (Callina variety) and v2 (PY ASA 01 variety). The second factor as a plot for comparison of GA3 concentrations contained 5 levels including k0 (0 mgL-1 water), k1 (50 mgL-1 water ), k2 (100 mgL-1 water), k3 (150 mgL-1 water), k4 (200 mgL-1 water). The experimental results showed an interaction between soaking concentration of GA3 and variations in germination rate, germination rate, root length, plant vitality, and plant dry weight, but no interaction occurred on germination time, plant height, stem diameter, number of leaves, root volume and the extinction ratio. Root (NPA). Testing the immersion concentration of GA3 150 mgL-1 on the Callina variety gave better growth in germination power, germination speed, root length, plant fresh weight, and plant dry weight compared to the PY ASA 01 variety. Independently the variety only had a higher root volume effect on the Callina variety offspring of the PY ASA 01 variety. Meanwhile, the soaking concentration of GA3 affected stem diameter, root volume, and NPA. GA3 immersion concentration of 150 mgL-1 water produced the highest stem diameter, root volume, and NPA. Application of the optimum soaking concentration of GA3 for the Callina variety of 141.87 mgL-1 water resulted in a maximum dry weight of 0.8274 grams, while the optimum soaking concentration of GA3 for PY ASA 01 of 150.5 mgL-1 water resulted in a maximum dry weight of 0.610 grams.

THE EFFECT OF BIOFERTILIZER CONCENTRATION ON GROWTH AND YIELD OF THREE LOCAL SUMEDANG VARIETIES OF RICE (ORYZA SATIVA L.) IN DRYLAND: PENGARUH KONSENTRASI PUPUK HAYATI TERHADAP PERTUMBUHAN DAN HASIL TIGA VARIETAS PADI SAWAH LOKAL SUMEDANG (ORYZA SATIVA L.) DI LAHAN KERING Rosalina Fitria; Lia Amalia; Kovertina Rakhmi Indriana
ROCE : Jurnal Pertanian Terapan Vol. 1 No. 2 (2024): JPT ROCE 2, 2024
Publisher : PT. ROCE WISDOM ACEH

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Biofertilizer is a product that contains living substances consisting of microorganisms that are useful for plants. The role of microorganisms contained in biofertilizers is to function as a fixer and nutrient provider for plants. Local rice varieties varieties have been adapted and have location-specific characteristics. Drylands have the potential to increase agricultural production. This research aims to study the interaction between the concentration of biofertilizer and varieties on the growth and yield of local Sumedang varieties of rice planted in dry land. The experimental method used a Factorial Randomized Group Design. The first factor is the concentration of biological fertilizer consisting of three levels, namely p1 = 0 ml L-1 of water p2 = 3 ml L-1 of water, p3 = 6 ml L-1 of water while the second factor is the local Sumedang varieties of rice consisting of three types of varieties, such as v1 = Gemah, v2 = Gede Wangi, V3 = Trisakti. The results showed that the concentration of biofertilizer 6 ml L-1showed the highest production of varietas Trisakti with 573 gram per square.

Smart Agriculture: Optimizing Soybean Cultivation Through Technology In Crop Monitoring Sujadi, Harun; Marina, Ida; Koswara, Engkos; Rakhmi Indriana, Kovertina; Sukmawati, Dety
Greenation International Journal of Engineering Science Vol. 1 No. 2 (2023): (GIJES) Greenation International Journal of Engineering Science (June 2023)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.92

The objective of this study is to optimise the productivity of soybean production through the integration of agricultural technologies inside plant monitoring systems. The objective of incorporating technology is to enhance the monitoring and management processes of soybean crops, with the ultimate goal of improving productivity and boosting harvest yields.This paper presents a proposal for the use of diverse agricultural technologies, including soil sensors, environmental sensors, drones, and data analysis based on artificial intelligence. Soil and environmental sensors are utilised for the purpose of monitoring soil conditions, moisture levels, and weather conditions in the vicinity of soybean agricultural fields. Drones are employed for comprehensive terrestrial surveillance and prompt identification of botanical concerns. The utilisation of artificial intelligence in data analysis involves the processing of information gathered from sensors and drones, enabling the provision of real-time insights and recommendations to farmers.By incorporating these agricultural technologies, it is anticipated that farmers would be able to effectively and efficiently utilise resources such as water, fertilisers, and pesticides, ensuring optimal usage in terms of precision and timeliness. Furthermore, the implementation of precise monitoring techniques and prompt responses to alterations in plant conditions within agricultural settings can effectively mitigate the potential hazards associated with crop loss resulting from pest or disease infestations.

Optimizing Soybean Cultivation Efficiency through Agricultural Technology Integration in Plant Monitoring System Marina, Ida; Sujadi, Harun; Rakhmi Indriana, Kovertina
Greenation International Journal of Engineering Science Vol. 1 No. 3 (2023): (GIJES) Greenation International Journal of Engineering Science (September 2023
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.93

Agriculture plays a crucial role in fulfilling global food needs and promoting societal well-being. Soybean cultivation, as a strategic food crop, offers essential protein sources for humans and livestock while enhancing soil fertility through nitrogen fixation. However, the increasing global demand for soybeans poses challenges for farmers, particularly in terms of cultivation efficiency. These challenges are further exacerbated by climate change, land use, disease threats, and commodity price fluctuations. The advancement of agricultural technology, such as IoT, remote sensing, artificial intelligence, and predictive modeling, holds significant promise in improving soybean cultivation's efficiency and productivity. Precision agriculture emerges as a pivotal approach to support agricultural efficiency, productivity, and profitability. Expert systems and image processing techniques like artificial neural networks and genetic algorithms play a vital role in implementing precision agriculture. Information technology's use in precision agriculture focuses on data collection, analysis, and application in farming. Despite considerable research proposing technology integration in soybean cultivation, comprehensive studies on its potential integration remain limited. Thus, this international research aims to analyze the prospects of integrating agricultural technology into plant monitoring systems. Its primary goal is to contribute to the development of sustainable and efficient agricultural practices, considering environmental conditions and natural resource potentials. The findings will serve as a strategic foundation for agricultural stakeholders and policymakers to enhance soybean cultivation's sustainability, productivity, and quality, while effectively addressing global food challenges in the future.

Smart Agriculture: Optimizing Soybean Cultivation Through Technology In Crop Monitoring Sujadi, Harun; Marina, Ida; Koswara, Engkos; Rakhmi Indriana, Kovertina; Sukmawati, Dety
Greenation International Journal of Engineering Science Vol. 1 No. 2 (2023): (GIJES) Greenation International Journal of Engineering Science (June 2023)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.92

The objective of this study is to optimise the productivity of soybean production through the integration of agricultural technologies inside plant monitoring systems. The objective of incorporating technology is to enhance the monitoring and management processes of soybean crops, with the ultimate goal of improving productivity and boosting harvest yields.This paper presents a proposal for the use of diverse agricultural technologies, including soil sensors, environmental sensors, drones, and data analysis based on artificial intelligence. Soil and environmental sensors are utilised for the purpose of monitoring soil conditions, moisture levels, and weather conditions in the vicinity of soybean agricultural fields. Drones are employed for comprehensive terrestrial surveillance and prompt identification of botanical concerns. The utilisation of artificial intelligence in data analysis involves the processing of information gathered from sensors and drones, enabling the provision of real-time insights and recommendations to farmers.By incorporating these agricultural technologies, it is anticipated that farmers would be able to effectively and efficiently utilise resources such as water, fertilisers, and pesticides, ensuring optimal usage in terms of precision and timeliness. Furthermore, the implementation of precise monitoring techniques and prompt responses to alterations in plant conditions within agricultural settings can effectively mitigate the potential hazards associated with crop loss resulting from pest or disease infestations.

Optimizing Soybean Cultivation Efficiency through Agricultural Technology Integration in Plant Monitoring System Marina, Ida; Sujadi, Harun; Rakhmi Indriana, Kovertina
Greenation International Journal of Engineering Science Vol. 1 No. 3 (2023): (GIJES) Greenation International Journal of Engineering Science (September 2023
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v1i2.93

Agriculture plays a crucial role in fulfilling global food needs and promoting societal well-being. Soybean cultivation, as a strategic food crop, offers essential protein sources for humans and livestock while enhancing soil fertility through nitrogen fixation. However, the increasing global demand for soybeans poses challenges for farmers, particularly in terms of cultivation efficiency. These challenges are further exacerbated by climate change, land use, disease threats, and commodity price fluctuations. The advancement of agricultural technology, such as IoT, remote sensing, artificial intelligence, and predictive modeling, holds significant promise in improving soybean cultivation's efficiency and productivity. Precision agriculture emerges as a pivotal approach to support agricultural efficiency, productivity, and profitability. Expert systems and image processing techniques like artificial neural networks and genetic algorithms play a vital role in implementing precision agriculture. Information technology's use in precision agriculture focuses on data collection, analysis, and application in farming. Despite considerable research proposing technology integration in soybean cultivation, comprehensive studies on its potential integration remain limited. Thus, this international research aims to analyze the prospects of integrating agricultural technology into plant monitoring systems. Its primary goal is to contribute to the development of sustainable and efficient agricultural practices, considering environmental conditions and natural resource potentials. The findings will serve as a strategic foundation for agricultural stakeholders and policymakers to enhance soybean cultivation's sustainability, productivity, and quality, while effectively addressing global food challenges in the future.

Pengaruh Kombinasi Konsentrasi AB Mix Dan Nutrisi Tanaman Organik terhadap Pertumbuhan Tanaman Bayam Merah (Amaranthus tricolor L.) Varietas Mira Sistem Hidroponik Wick Restu Ramadhan, Dinda; Sondari, Nunung; Rakhmi Indriana, Kovertina
OrchidAgro Vol. 5 No. 1 (2025)
Publisher : Fakultas Pertanian Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35138/orchidagro.v5i1.912

Red spinach is a leaf vegetable that has high economic value and contains protein, vitamin A, vitamin C and mineral salts that the body needs. Land conversion can have an impact on reducing agricultural land. One way to overcome this is to utilize existing land by planting hydroponically. The Wick hydroponic system is the simplest hydroponic system because it is easy to maintain. The research was carried out in Sukamandi Jaya Village, Ciasem District, Subang Regency with an altitude of between 100-300 meters above sea level from August to September 2024. This research was carried out with the aim of determining the effect of the combination of AB Mix levels and Nutriplan Organic Plant Nutrition from PT. Prima Agro Tech for the growth of red spinach plants using the Wick hydroponic system. RAK method (Randomized Block Design) with 5 treatments and 5 treatments, consisting of p1 = 100% AB Mix, p2 = 75% AB Mix + 25% Nutriplan, p3 = 50% AB Mix + 50% Nutriplan, p4 = 25% AB Mix + 75% Nutriplan, p5 = 100% Nutriplan. The experimental results showed that the type of nutrition had a significant effect on the parameters of plant height, number of leaves, root length, plant fresh weight, stem diameter and leaf area of red spinach (Amaranthus tricolor L.) Mira variety. The best treatment is p2 with 75% AB Mix + 25% Nutriplan, namely plant height 20.5 cm, number of leaves 25.6, root length 25.26 cm, fresh weight 13.97 cm, stem diameter 0.58 cm, and leaf area 49.93 cm2. Keywords: AB Mix, Nutriplan, Red spinach

Invigorasi Benih Mentimun (Cucumis sativus L.) Kadaluarsa melalui Teknik Hydropriming Air Kelapa Muda dengan Lama Perendaman yang Berbeda Iskandar, Hervyaningsih; Amalia, Lia; Rakhmi Indriana, Kovertina
OrchidAgro Vol. 5 No. 1 (2025)
Publisher : Fakultas Pertanian Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35138/orchidagro.v5i1.914

This research aims to study and determine the appropriate concentration and duration of soaking young coconut water to enhance the viability and vigor of expired cucumber seeds. The research were conducted in Panyingkiran Village, Purwadadi District, Subang Regency. The research will be conducted in August 2024. The experimental design used is a Randomized Block Design (RBD), with the treatments being: A = 0% young coconut water + 0 hours of soaking, B = 0% young coconut water + 10 hours of soaking, C = 0% young coconut water + 20 hours of soaking, D = 0% young coconut water + 30 hours of soaking, E = 25% young coconut water + 0 hours of soaking, F = 25% young coconut water + 10 hours of soaking, G = 25% young coconut water + 20 hours of soaking, H = 25% young coconut water + 30 hours of soaking, I = 50% young coconut water + 0 hours of soaking, J = 50% young coconut water + 10 hours of soaking, K = 50% young coconut water + 20 hours of soaking, L = 50% young coconut water + 30 hours of soaking, M = 75% young coconut water + 0 hours of soaking, N = 75% young coconut water + 10 hours of soaking, O = 75% young coconut water + 20 hours of soaking, and P = 75% young coconut water + 30 hours of soaking. The research results indicate that there is an effect of the concentration of young coconut water and the duration of soaking on the increase in viability and vigor of expired cucumber seeds. Treatment K gave the highest average value for the parameters of germination power, seed growth rate, wet weight of the sprouts, dry weight of the sprouts, and root shoot ratio in cocopeat seedling media. Meanwhile, treatment N provided the highest average values for the parameters of germination power, vigor index, seed growth rate, wet weight of the seedlings, dry weight of the seedlings, and root-to-shoot ratio in the sand seedling medium. Keywords: young coconut water; expired seeds; invigorate.

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