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Abstrak :
Peningkatan jumlah keramba jaring apung yang berada di perairan juga dapat memberikan pengaruh pada komponen-komponen yang berada di daratan seperti penggunaan tanah di darat. Oleh karena itu penelitian ini bertujuan untuk mengetahui dampak budidaya keramba jaring apung Danau Maninjau terhadap perubahan penggunaan tanah di sekitar Danau Maninjau. Metode yang digunakan untuk melihat perubahan penggunaan tanah dilakukan dengan teknik interpretasi citra dan GIS, dan metode Kernel Density serta analisis statistik regresi logistik. Hasil analisis menunjukkan bahwa pola perubahan sebaran KJA selama jangka waktu 17 tahun menunjukkan bahwa lokasi KJA dengan density perubahan yang tinggi berada di lokasi yang berdekatan dengan akses jalan, sungai dan permukiman. Hal ini menunjukkan bahwa pertumbuhan jumlah KJA berorientasi terhadap keterjangkauan akses untuk kemudahan pengangkutan sarana produksi dan distribusi produksi dari budidaya ikan keramba jaring apung. Sedangkan pola sebaran perubahan penggunaan tanah permukiman mendekati akses jalan dan banyak permukiman yang tumbuh (muncul) di sekitar tepi Danau Maninjau. Berdasarkan analisis regresi logistik dapat disimpulkan bahwa kecenderungan jarak dari danau merupakan faktor yang paling berpengaruh pada perubahan penggunaan tanah yang menunjang budidaya KJA di sekitar Danau Maninjau. Hal ini menunjukkan bahwa aktivitas di Danau Maninjau berdampak pada penggunaan tanah sebagai penopang KJA di kawasan Danau Maninjau. ...... Increasing the number of floating cages in waters that are participates effect to the components of that are in the mainland as landuse on land. Therefore, this study aims to determine the impact of floating net of cultivation Maninjau the conversion of landuse around the Lake Maninjau. The method used to see the changes in land use with image interpretation and GIS techniques, and Kernel Density method and logistic regression statistical analysis. The analysis showed that the pattern of changes in the distribution of KJA for a period of 17 years showed that the KJA locations with a high density changes were in locations adjacent to the access roads, rivers and the settlement. This suggests that the growth of the amount of KJA oriented to the affordability of access for the ease transportation of facilities production and distribution of the cultivation production of fish floating net cages. While the distribution pattern of land use and settlement approach the access road many settlements growing (up) around the edges of Lake Maninjau. Based on logistic regression analysis concluded that the tendency of the distance of the lake is the most influential factor in the conversion of land use that support the cultivation KJA around the Maninjau. This indicates that activity in Maninjau impact on land use in the region for support KJA Maninjau.

Abstrak :
The plant growth promoting rhizobacteria (PGPR) is a group of bacteria capable of colonizing plants roots, thereby developing a system and improving plants growth and yield. The objectives of the study is to characterize the PGPR activities of several bacterial isolates {in-vitro screening), to examine their activities in stimulating soybean growth (in-vivo screening), and to identify the bacterial species. These were isolated from nodules and soil samples collected from Mount Pancar in Bogor, West Java Province as well as from Bangkirai Hill and Wain River in East Kalimantan, Indonesia. The in-vitro PGPR activity characterization includes the N-fixing ability, ACC-deaminase, indole acetic acid (IAA) production, cellulolytic activity, P-solubilization, Phosphomonoesterase (PME-ase), and nifH-gene detection. The in-vivo PGPR activity with the greenhouse assay was conducted on soybean plant {Glycine max L.). All bacterial isolates were identified using molecular methods based on nucleotide sequence generated from 16S rRNA gene. Three isolates of soil and nodule bacteria with 7 characteristics of PGPR (N2 fixation, ACC-deaminase, cellulolytic activity, IAA production, solubilization index, P available, and PMEase activity) were successfully identified. These isolates were B045 {Klebsiella variicola InaCC B827), B116 (Klebsiella sp. InaCC B833), and B210 {Mangrovibacterplantisponsorlaa.CC B841). The greenhouse assay showed that the plant height, plant dry weight and number of flowers in soybean seedlings significantly increased with Bradyrhispbium sp. strain 4167, then with Klebsiella sp. InaCC B833 and Mangrovibacterplantisponsor InaCC B841. These bacterial isolates which were characterized and screened in-vitro for PGPR potentials and their representative isolates which were identified by 16S rRNA sequence analysis are key factors for selecting PGPR isolates to be commercialized later as bio-stimulant.

Abstrak :
ABSTRAK
Dalam menganalisis suatu Daerah Aliran Sungai, salah satu parameter yang dibutuhkan adalah nilai runoff coefficient atau curve number. Dimana nilai ini menggambarkan aliran yang melimpas atau terserap ke dalam tanah sesuai dengan peruntukkan penggunaan lahannya. Dalam menentukan nilai parameter tersebut, perlu diperhatikan klasifikasi jenis tanah atau pengelompokkan hidrologis tanah (Hydrologic Soil Group). Hydrologic Soil Group ini terdiri dari 4 kelompok yaitu A, B, C, dan D. Saat jenis kelompok hidrologisnya berbeda, maka nilai runoff coefficient atau curve number ini akan berbeda. Pengelompokkan Hydrologic Soil Group dapat ditentukan dengan menggunakan beberapa cara, yaitu berdasarkan sifat-sifat tanah, peta tanah detail, atau laju infiltrasi minimum. Menurut Badan Informasi Geospasial, 2018, klasifikasi Hydrologic Soil Group pada DAS Ciliwung Hulu terbagi ke dalam tiga kelompok yaitu, A, B, dan D. Dalam klasifikasinya, Hydrologic Soil Group yang berbeda memiliki nilai laju infiltrasi yang berbeda pula. Sehingga dengan diketahuinya nilai laju infiltrasi di suatu lokasi, akan diketahui pula klasifikasi Hydrologic Soil Group pada lokasi tersebut. Dalam penelitian ini akan dilakukan analisis persebaran klasifikasi Hydrologic Soil Group berdasarkan laju infiltrasi yang didapatkan dari penelitian langsung di lapangan. Penelitian dilakukan di 14 titik lokasi yang berbeda, yang tersebar di wilayah DAS Ciliwung Hulu, dengan waktu yang berbeda. Metode penelitian langsung di lapangan dilakukan dengan menggunakan bantuan alat double-ring infiltrometer. Data yang didapatkan dari penelitian lapangan kemudian diolah dengan menggunakan estimasi parameter dan Metode Horton untuk mendapatkan laju infiltrasi Horton. Dengan bantuan Inverse Distance Weighted (IDW) pada software ArcMap, akan didapatkan peta persebaran laju infiltrasi dan peta persebaran klasifikasi Hydrologic Soil Group pada DAS Ciliwung Hulu. Hasil yang didapatkan dari penelitian ini menunjukkan bahwa nilai laju infiltrasi pada DAS Ciliwung bagian Hulu berkisar antara 0.15 - 24.45 cm/jam. Dengan laju infiltrasi tersebut, didapatkan pula persebaran Hydrologic Soil Group pada DAS Ciliwung Hulu, yaitu terdiri dari kelompok A, B, dan C. Dari peta persebaran Hydrologic Soil Group pada DAS Ciliwung Hulu terlihat bahwa kelompok Hydrologic Soil Group yang mendominasi adalah kelompok A yang memiliki kemampuan infiltrasi yang tinggi dan potensi run-off yang rendah.

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ABSTRACT
In analyzing a watershed, one of the parameters needed is the runoff coefficient or curve number. This value describes the flow that overflows or absorbed into the soil in accordance with the intended use of land. In determining the value of these parameters, it is necessary to note the classification of soil types or soil hydrological grouping (Hydrologic Soil Group). The Hydrologic Soil Group consists of 4 groups: A, B, C, and D. When the types of hydrological groups are different, then the runoff coefficient or curve number will be different. Grouping the Hydrologic Soil Group can be determined using several methods, based on soil properties, detailed soil maps, or minimum infiltration rates. According to the Badan Informasi Geospasial, 2018, the classification of the Hydrologic Soil Group in the Ciliwung Hulu watershed is divided into three groups, namely, A, B, and D. In the classification, different Hydrologic Soil Groups have different infiltration rate values. So that by knowing the rate of infiltration in a location, the classification of the Hydrologic Soil Group will be known at that location. In this study, an analysis of the distribution of the Hydrologic Soil Group classification based on the infiltration rate obtained from direct research in the field will be conducted. The study was conducted in 14 different location points, which were spread across the Upper Ciliwung watershed, with different times. The direct research method in the field is carried out using the aid of a double-ring infiltrometer. Data obtained from field research were then processed using parameter estimation and Horton Method to obtain Horton infiltration rate. With the assistance of Inverse Distance Weighted (IDW) in ArcMap software, a map of the infiltration rate distribution and a map of the distribution of the Hydrologic Soil Group distribution in the Ciliwung Hulu watershed will be obtained. The results obtained from this study indicate that the infiltration rate in the Upper Ciliwung watershed ranges from 0.15 - 24.45 cm/hour. With the infiltration rate, the distribution of the Hydrologic Soil Group was also found in the Ciliwung Hulu watershed, which consisted of groups A, B, and C. From the distribution map of the Hydrologic Soil Group in the Upper Ciliwung watershed it was seen that the dominant group of Hydrologic Soil Group A had high infiltration capability and low run-off potential.