This study was aimedto identify probiotic characteristics and to test the cellulolytic ability of Bacillus megaterium and Bacillus mycoides bacteria for probiotic microbe

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Analisis pada penelitian penting dilakukan untuk tujuan mengetahui ketepatan dan keakuratan dari penelitian itu sendiri. Begitu juga dalam prediksi volume ekspor dan impor migas di Indonesia. Dilakukannya penelitian ini untuk mengetahui seberapa besar perkembangan ekspor dan impor Indonesia di bidang migas di masa yang akan datang. Penelitian ini menggunakan Jaringan Syaraf Tiruan (JST) atau Artificial Neural Network (ANN) dengan algoritma Backpropagation. Data penelitian ini bersumber dari dokumen kepabeanan Ditjen Bea dan Cukai yaitu Pemberitahuan Ekspor Barang (PEB) dan Pemberitahuan Impor Barang (PIB). Berdasarkan data ini, variabel yang digunakan ada 7, antara lain: Tahun, ekspor minyak mentah, impor minyak mentah, ekspor hasil minyak, impor hasil minyak, ekspor gas dan impor gas. Ada 5 model arsitektur yang digunakan pada penelitian ini, 12-5-1, 12-7-1, 12-8-1, 12-10-1 dan 12-14-1. Dari ke 5 model yang digunakan, yang terbaik adalah 12-5-1 dengan menghasilkan tingkat akurasi 83%, MSE 0,0281641257 dengan tingkat error yang digunakan 0,001-0,05. Sehingga model ini bagus untuk memprediksi volume ekspor dan impor migas di Indonesia, karena akurasianya antara 80% hingga 90%. (Declaration Form/PEB and Impor Export Declaration/PIB). Based on this data, there are 7 variables used, among others: Year, Crude oil exports, Crude oil Impors, Exports of oil products, Impored oil products, Gas exports and Gas Impors. There are 5 architectural models used in this study, 12-5-1, 12-7-1, 12-8-1, 12-10-1 and 12-14-1 ABSTRACT Analysis of the research is Imporant used to know precision and accuracy of the research itself. It is also in the prediction of Volume Exports and Impors of Oil and Gas in Indonesia. This research is conducted to find out how much the development of Indonesia's exports and Impors in the field of oil and gas in the future. This research used Artificial Neural Network with Backpropagation algorithm. The data of this research have as a source from custom documents of the Directorate General of Customs and Excise

This study aimed to understand the effects of various energy-protein ratios of feed on nilem carp fish (Osteochilus hasselti) growth. This study was conducted from September to October 2017 at the Laboratory of Building 4, Faculty of Fisheries and Marine Sciences, Universitas Padjajaran. The average size of the test fish was ± 7 cm with an average weight of 3 grams. This was a Completely Randomized Design (CRD) experimental study consisting of 5 treatments and 3 repetition. The treatments given were 5 feed formulas based on different feed protein energy ratios, i.e. treatment A (31% protein, ratio 10), treatment B (31% protein, ratio 8), treatment C (28% protein, ratio 10), D (28% protein, ratio 8), and E (30% protein commercial feed/control). Feed, 5% of the test fish total weight, was provided 3 times a day. Parameters observed were daily growth rate, feed conversion, and survival. Data gained were analyzed using F-test, followed by Duncan Test if differences were found between treatments. Results showed that growth rate and feed conversion of all treatments were not different compared to control. The highest result was found in treatment A (31% protein, ratio 10) with a daily growth rate of 3.99% and feed conversion of 1.95%.

Abstract. Andriani Y, Dhahiyat Y, Zahidah, Zidni I. 2016. The effect of stocking density ratio of fish on water plant productivity in aquaponics culture system. Nusantara Bioscience 8: xxxx. This study aims to determine the productivity of water plants at various stocking density ratios in the aquaponic culture system. This study is conducted experimentally using the Completely Randomized Design with the differences in the treatment of stocking density ratio, each repeated five times. The treatments of the stocking density ratio of both the catfish fry and the Nile tilapia fry include: A (75:75 fry/m 2 ), B (100:50 fry/m 2, and C (125:25 fry/m 2 ). The observed parameters are 1) plant productivity including measuring the growth of water spinach and growth rate, covering weight gain, stem length and number of leaves, and 2) water quality, including dissolved oxygen (DO), nitrate and phosphate. The data of plant productivity is analyzed descriptively while the water quality is analyzed using ANOVA. The result of this study shows that the stocking density ratio significantly affects the productivity of water plants and the water quality of the media. The highest productivity of water spinach productivity occurs at the stocking density ratio of 75 catfish fry/m 2 : 75 Nile tilapia fry m 2 , at which the average stem length is 59.14 cm, average number of leaves is 13.67, and the harvest weight is 465 g. Fish stocking density ratio also affects the quality of water, where the synergy between fish farming and water plant growing results in the better water quality compared to fish farming without water plant. The highest quality of water is achieved at the stocking density ratio of 100 catfish fry/m 2: 50 Nile tilapia fry/m 2 .