Scientific Journals of Bogor Agricultural University
Not a member yet
25587 research outputs found
Sort by
Total glucosinolate content of arugula (Eruca sativa Mill.) supplemented with rhizobacteria-enriched bio-slurry
Get PDFArugula is a member of Brassicaceae that has a high antioxidant content of glucosinolate. Bio-slurry is a kind of liquid fertilizer derived from sap of cow dung. Bio-slurry in combination with rhizobacterial can maximize decomposition and make nutrients more available. The research aimed to determine the total glucosinolate content in arugula due to the application of bio-slurry enriched with rhizobacteria. The study used a randomized complete block design with a single factor consisting of 9 levels, i.e., the combination of 3 types of rhizobacteria (Pseudomonas, Bacillus, Pseudomonas + Bacillus) and 3 doses of bio-slurry (0, 100, and 200 mL). The results showed that the application of Pseudomonas & Bacillus + 200 mL bio-slurry produced a higher antioxidant content than other inputs. The combination of bio-slurry fertilizer with rhizobacterial provides a higher ability than control to increase plant growth rates and the biosynthesis of glucosinolate. The optimal substitution for maximizing nutrient uptake in arugula growth was achieved with a bio-slurry dose of 200 mL, where the combined application of Pseudomonas and Bacillus strains enhanced plant growth and glucosinolate content.
Keywords: antioxidant capacity; Bacillus; bacterial; biofertilizer; Pseudomona
Integrating Multi-Variable Driving Factors to Improve Land Use & Land Cover Classification Accuracy using Machine Learning Approaches: A Case Study from Lombok Island
Get PDFAccurate classification of land cover is essential for effective land management and environmental monitoring. This study aimed to enhance land cover classification for Lombok Island using advanced machine learning algorithms. The models employed include Random Forest, Gradient Boosting, Decision Tree, and Naive Bayes, integrating a wide range of variables, such as Landsat satellite imagery, spectral indices, physiographic, climatic, and socio-economic data. Among these, Random Forest demonstrated the highest model accuracy at 82%, followed by Gradient Boosting at 80%, Decision Tree at 73%, and Naïve Bayes at 61%. In field validation assessments, comparing the predictions of these machine learning models with ground truth data, Random Forest was the most reliable, achieving an overall accuracy of 88%. This superior performance is largely due to the multi-variable approach, which allows the model to mitigate issues like cloud cover in satellite images. The key variables that significantly influenced the land cover classification on Lombok Island include proximity to settlements, temperature, and distance to roads. These results provide essential insights for land management strategies, enabling policymakers and stakeholders to make informed decisions on sustainable development, urban planning, and environmental conservation in rapidly changing landscapes
Allometric Model for Estimating Above-ground Biomass and Carbon Stock of Bambusa vulgaris var. striata
Get PDFBamboo, one of the non-timber forest products, is promising in climate change mitigation strategy due to its ability to remove CO2 from the atmosphere through photosynthesis. However, the allometric model to estimate the biomass and carbon of bamboo is still limited. The research aimed to develop the allometric model using the diameter as the predictor. The materials for destructive sampling were 30 culms of yellow ampel bamboo (Bambusa vulgaris var. striata). A power model was used to analyze data in order to develop an allometric model. Furthermore, data validation was used to leave one out cross-validation (LOOCV), and assessing the difference between predicted and observed values used t-test. The results showed that bamboo biomass was allocated in culms, branches, and leaves at 48.14, 27.66, and 24.20%, respectively. Moreover, the percentage carbon content of culms, branches, and leaves was 55.64%, 50.67%, and 48.48%, respectively. The best allometric model to estimate total biomass was lnWD = -1.846 + 2.218 lnD and to estimate carbon stock was lnC = -2.504 + 2.225 lnD. In conclusion, the diameter at 60 cm from the base (D60) was the best predictor, and adding the predictor length of culm did not improve the allometric model significantly. Moreover, the predictor D0 – Dbh (1.3 m) did not differ significantly in estimating above-ground biomass and carbon stock. Furthermore, for practical purpose, the Dbh is recommended for use in measuring bamboo diameter in the field
Kajian Penyediaan Tanaman pada Beberapa Sentra Produksi dan Penggunaannya dalam Lanskap
Get PDFLandscape plant nurseries are propagation and growing areas for trees, shrubs, ground cover plants, vines, water plants and herbs that are associated with several stakeholders such as landscape consultants, maintenance companies, contractors, and ornamental plant sellers. Nurserymen play a crucial role in providing plants for landscape projects, but the limited visibility of some nurseries poses a challenge to the procurement process. To address this issue, it is necessary to conduct a study that maps the location of nurseries and creates a database in several landscape plant production centers to facilitate consumers in meeting their plant needs. The study aimed to inventory plant diversity, analyze procurement and marketing practices in various ornamental plant centers, and assess the impact of different aspects of nurseries on plant application. Conducted from November 2023 to March across 10 districts in Bogor, Cianjur, and Depok regency, the research used descriptive quantitative analysis and correlation analysis to identify relationships between various aspects of plant procurement to identify key aspect for nurseries development. The research findings indicate a considerable diversity of plants within the production centers, with a total of 805 varieties across 10 districts in Bogor, Cianjur, and Depok regency. Despite 76% of these production centers employing conventional procurement methods, they are sufficiently able to meet the plant needs of their users. The study recommends policy initiatives focusing on plant specifications and net pricing, establishing a real-time plant database, and mapping nursery distribution locations to enhance procurement efficiency, benefiting both consumers and producers
USE OF BLUE LED LIGHTS AS AN ATTRACTANT IN A COLLAPSIBLE POT ON BLUE SWIMMING CRAB CATCHES
Get PDFBlue light-emitting diode (LED) lights have been tested as a potential tool in a blue swimming crab collapsible pot at the laboratory level. However, field-scale trials have not yet been conducted to confirm their effects on pot catches. This study aims to determine the effects of blue LEDs on catch composition and the effectiveness of catching the main target of crab (Portunus pelagicus). A fishing trial was conducted in Brondong, Lamongan waters to examine the influence of blue LED lights on crab catches. A total of 54 pots were deployed, consisting of 18 pots with fish bait (U) as control, 18 pots with blue LED light (L), and 18 pots with a combination of fish bait and blue LED (LU). The results showed that the LU treatment yielded the highest number of species, with a total of 13 species, followed by the U treatment, with 10 species, and the L treatment, with 9 species. The LU treatment had the highest catch of 48 fish (3,718 g), followed by U with 43 fish (3,448 g) and L with 5 fish (208 g). Statistical analysis revealed no significant differences between the LU and U (control) treatments in terms of both catch number and weight. The highest catchable width distribution in treatment U was 88%, while the highest catchable weight distribution in treatment LU was 75%. The analysis of crab-catching effectiveness analysis showed that the LU treatment had the highest average effectiveness of 13%, followed by the U treatment at 11%, and the lowest was the L treatment at 1%. In conclusion, LED lights do not affect the catch, however, adding LED lights to the bait can increase the number of species caught, the number of individuals, the weight of the catch, and the effectiveness of catching kingfish (P. pelagicus).
Keywords: Blue light, catchable distribution, effectiveness, bai
Challenges in the Implementation of Internet of Things (IoT) in Irrigation and Fertilizer Management System in Indonesia
Get PDFAgriculture is critical to many countries\u27 economies, especially related to gross domestic products (GDP) and employment. However, as a result of industrialization, leading to a problem in fulfilling the expanding global food supply demand. The Internet of Things (IoT) can enhance automatic data transfer in agricultural, improve production, increase quality, improve cost-effectiveness, and reduce environmental impact. However, the obstacles related to IoT application in agriculture have received little discussion especially in the development countries such as Indonesia. This research seeks to fill that gap by investigating the specific issues of adopting the Internet of Things (IoT) in the context of an irrigation and fertilizer management system in Indonesia. To fully study this, a stratified multistage random sampling was conducted to acquire significant insights and data. According to the interview results, respondents voiced worries regarding IoT deployment in agriculture, including, costs implementation (CI), their own knowledge (perceived knowledge (PK)), user experiences with the technology (perceived ease of use (PEU)) and intention of use (IU). The study finds weak CI-IU and PK-IU links but a strong PEU-IU correlation, underscoring the multifaceted factors influencing IoT adoption in agriculture. It is found that the easiness of the use of IoT is the main factors that influence Indonesian farmers to implement the IoT in their farmers. Although the cost of the implementation is an essential factor, easiness to use IoT is the most significant factor. Lastly, researchers, policymakers, and agricultural stakeholders can leverage these insights to advance IoT integration and sustainability in farming practices
EVALUATION RESULTS OF NUSANTARA 5 AUTONOMOUS UNDERWATER VEHICLE (N5-AUV) IN A CONTROLLED ENVIRONMENT AND THE OPEN SEA: HASIL EVALUASI NUSANTARA 5 AUTONOMOUS UNDERWATER VEHICLE (N5-AUV) DI LINGKUNGAN TERKONTROL DAN LAUT TERBUKA
Get PDFAutonomous Underwater Vehicle (AUV) adalah wahana yang dikendalikan di dalam air menggunakan sistem penggerak, dikontrol dan dikemudikan (dikendalikan) oleh perangkat komputer, dan bermanuver pada tiga dimensi. AUV memiliki kegunaan untuk melakukan pekerjaan di bawah air yang sulit dilakukan oleh manusia. Penelitian ini bertujuan untuk mendokumentasikan desain dan pembuatan Nusantara 5 AUV yang dikembangkan oleh MITR club ITK (Ilmu dan Teknologi Kelautan), FPIK (Fakultas Perikanan dan Ilmu Kelautan), IPB University dan mengevaluasi kinerjanya baik di lingkungan lapangan maupun dalam kondisi terkontrol. Metode evaluasi wahana menggunakan perbandingan hasil gerakan di air dengan program gerakan lurus, berbelok, dan gliding. Hasil pengujian kinerja menunjukkan bahwa AUV mampu bergerak lurus dengan rata-rata kesalahan sebesar 2,8° dalam lingkungan terkontrol, sedangkan di laut, rata-rata kesalahannya mencapai 5,4° dikarenakan AUV terombang ambing oleh ombak laut. Saat melakukan manuver berbelok dalam kondisi terkontrol, AUV memerlukan waktu 12,8 detik untuk menyesuaikan jalurnya setelah berbelok, sementara di laut, waktu yang dibutuhkan adalah 20 detik. Gerakan gliding masih belum sempurna, baik di dalam kolam uji maupun di laut, karena cenderung bergerak naik turun. Hal ini mengindikasikan sebuah kelemahan dalam Nusantara 5 AUV itu sendiri. Walaupun demikian, kelebihan dari Nusantara 5 AUV sendiri adalah ukurannya yang lebih kecil dibandingkan dengan pendahulunya dan juga penggunaan jumlah thruster yang lebih sedikit sehingga dapat meminimalisir biaya pembuatan.An Autonomous Underwater Vehicle (AUV) is a vehicle operated underwater using a propulsion system, controlled and navigated by a computer system, and capable of maneuvering in three dimensions. It is designed to perform tasks underwater that are difficult for humans to accomplish. This research aims to document the design and development of the Nusantara 5 AUV made by the MITR Club of Marine Science and Technology, Faculty of Fisheries and Marine Sciences, IPB University, as well as to evaluate its performance both in field conditions and controlled environments. The evaluation method for the vehicle involved comparing the movement results in water with the programmed motions of straight movement, turning, and gliding. The performance testing results indicated that the AUV could move straight with an average error of 2.8° in a controlled environment, while in the sea, the average error reached 5.4° because the AUV was tossed around by the sea waves. During turning maneuvers in controlled conditions, the AUV required 12.8 seconds to adjust its path after turning, whereas in the sea, it took 20 seconds. Gliding motion was still not perfect, both in the test pool and in the sea, as it tended to move up and down. This indicated a weakness in the Nusantara 5 AUV itself. However, the advantage of the Nusantara 5 AUV itself was in its smaller size compared to its predecessors and the use of fewer thrusters, thus minimizing manufacturing costs
ADDITION OF PHYTASE IN ARTIFICIAL FEED GIVEN TO GIANT GOURAMI FISH FRY (Osphronemus goramy): PENAMBAHAN FITASE DALAM PAKAN BUATAN YANG DIBERIKAN PADA BENIH IKAN GURAMI (Osphronemus goramy)
Get PDFPakan yang efisien sangat penting untuk memahami kualitas dan kuantitas pakan sehubungan dengan pertumbuhan ikan jika ikan mengonsumsi pakan dengan keperluan nutrisi yang pas pada kebutuhan tubuh ikan. Jumlah nutrisi yang digunakan oleh tubuh ikan akan minimal. Salah satu masalah umum dalam proses pembuatan pakan buatan adalah penggunaan protein nabati dalam pakan suboptimal karena adanya faktor anti-nutrisi yang disebut asam fitat, yang dapat mengurangi jumlah nutrisi seperti protein dan mineral, dan akan memengaruhi pertumbuhan organisme. Penelitian ini bertujuan untuk menganalisis transformasi dan efisiensi pakan pada benih ikan gurami dengan memasukkan enzim fitase ke dalam pakan buatan. Data yang dikumpulkan ditampilkan dalam bentuk tabel dan diagram batang, dan dianalisis memanfaatkan metode deskriptif. Temuan penelitian menyatakan bahwa penambahan 3 mg/kg fitase ke dalam pakan menghasilkan hasil yang lebih baik daripada dengan kontrol dan dosis fitase lainnya (1 g/kg pakan dan 2 g/kg pakan) dalam hal konversi pakan (1,02), efisiensi penggunaan pakan (97,77%), peningkatan panjang total (7,22 cm), dan peningkatan berat mutlak benih ikan gurami (197,44 g). Selama penelitian, kualitas air diukur pada suhu 27-28°C, pH 6-7,3, tingkat oksigen 4,8-6,3 mg/L, dan tingkat amonia 0,02-0,08 mg/L.Efficient feed is very important to understand the quality and quantity of feed concerning fish growth, if the fish consumes feed with the proper nutritional requirements for the fish\u27s body needs. The amount of nutrients used by the fish\u27s body will be minimal. One of the common problems in the process of making artificial feed is the use of vegetable protein in suboptimal feed due to the presence of anti-nutritional factors called phytic acid, which can reduce the amount of nutrients such as protein and minerals, and will affect the growth of the organism. This study aims to analyze the transformation and efficiency of feed in giant gourami fish fry by adding phytase enzymes to artificial feed. The data collected were displayed in tables and bar charts and analyzed using descriptive methods. The findings of the study stated that the addition of 3 mg/kg phytase to the feed produced better results than the control and other phytase doses (1 g/kg feed and 2 g/kg feed) in terms of feed conversion (1.02), feed utilization efficiency (97.77%), increased in total length (7.22 cm), and increased in absolute weight of giant gourami fish fry (197.44 g). During the study, water quality was measured at a temperature of 27-28°C, pH 6-7.3, oxygen levels of 4.8-6.3 mg/L, and ammonia levels of 0.02-0.08 mg/L