Judul: Dinamika Populasi Mikroorganisme Rizosfer Tanaman Kilemo (Litsea cubeba L. Persoon) Pada Perlakuan Pemangkasan dan Pemupukan.
Abstrak: Kilemo (Litsea cubeba L. Persoon) is the one of plant which cultivated as a medicine plant, such an essential oil. This plant harvested at the tip of leaves and the leaves, therefore the management include pruning and fertilizing. This research was aimed to observe the effect of pruning and fertilizing toward population of rhizosphere communities on kilemo (Litsea cubeba L. Persoon). Pruning was practiced on to kilemo after 2 years and four fertilizing treatments i.e control (without fertilizing), NPK fertilizer, microfertilizer and compost,were applied on to the plant with pruning and without pruning. Results of this research showed that pruning was able to decrease population of Azotobacter, P solubilizing microorganism (MoPP), cellulose solubilizing microorganism (MPS). Pruning with fertilizing NPK treatment also decreased population of microorganism. Furthermore, giving organic fertilizer was able to increase population of Azotobacter microorganism and P solubilizing microorganism (MoPP). Meanwhile, microfertilizer only increased population of cellulose solubilizing microorganism (MPS).
Keyword: Microorganism., Rhizosphere, Pruning, Kilemo, Fertilizing

Judul: Studi mikrobiologi dan sifat kimia Mikroorganisme Lokal (MOL) yang digunakan pada budidaya padi metode SRI ( System of Rice Intensification)
Abstrak: The use of local microorganism (MOL) liquid in the SRI method of rice cultivation developed in Indonesia starts early from the preparation of seedlings to vegetative phase, panicle formation and grain filling. MOL is a liquid that can be made from materials available around us such as a waste of vegetables, bamboo shoots, golden snails, maja fruit, gamal leaves, banana hump, cooked rice, urine of rabbits, etc. The liquid is generally given 10, 20, 30, 40 and 60 days after planting (DAP) or as needed. This study used the MOL liquid made from banana hump, golden snails and rabbit urine. The research objective was to determine the microbes, identify microbes, chemical properties and growth pattern microbes in the MOL of banana hump, golden snails and rabbit urine. The research was conducted at the Soil Biotechnology Laboratory of IPB starting from April 2010 to January 2011. It used a complete random design with one factor (time) and three replications. The results showed the patterns of microbial growth in the third MOL tends to decline after 7th day, while for fungi tended to decrease after 14th day. Azotobacter-like tend to increase after 7th day of fermentation. For Azospirillum-like and MPF growth tends to decline after the 7th day and Cellulitic Microbes growth tends to decline after 14th day of fermentation in the three types of MOL. The results showed that the identification of microbial isolates by using selective media NFB and NFM was not Azotobacter and Azospirillum , but is has the characteristic and microbial properties such as Azotobacter and Azospirillum so classified in Azotobacter-like and Azospirillum-like. The best fermentation time to obtain an optimum microbial population was in 7-14 days. The MOL of banana hump had a average the lowest pH value (4,2-4,5) and the highest EC value (10,44-12,82 μS/cm) during the fermentation process. The MOL of golden snail had a average the highest pH (4,5-6,55) and and the most oxidative-reductive Eh values [269- (-381) mV] during the fermentation process. The MOL of rabbit urine had the lowest average value of EC (2,18-2,23 μS/cm) and containes more elements of K, Ca, Mg, Cu, Zn, Fe and Mg than both of the other types of MOL. Further, Bacillus sp, Aeromonas sp, and Aspergillus niger were identified in the MOL of banana hump. The MOL of golden snails contained Staphylococcus sp and Aspergillus niger, whereas the MOL of rabbit urine had Bacillus sp, Rhizobium sp, Pseudomonas sp, Aspergillus niger and Verticillium sp.
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Judul: Perbandingan model vector autoregressive dan generalized space time autoregressive untuk meramalkan harga daging sapi
Abstrak: Vector Autoregressive (VAR) merupakan salah satu model data deret waktu peubah ganda dimana model tersebut tidak hanya bergantung pada lag dari peubah itu sendiri tetapi juga dipengaruhi oleh nilai lag peubah lainnya, sedangkan Generalized Space Time Autoregressive (GSTAR) merupakan pengembangan dari model VAR yang dipengaruhi oleh waktu dan lokasi. Efek waktu pada model GSTAR diperoleh dari VAR, sedangkan efek lokasi dirumuskan oleh matriks pembobot lokasi. Harga daging sapi mengalami perubahan dari waktu ke waktu mengikuti bentuk data deret waktu dan harga ini berbeda-beda antar daerah. Jakarta sebagai sentra konsumsi daging sapi, tidak dapat memenuhi kebutuhannya sendiri sehingga membutuhkan daerah lain dalam pemenuhan kebutuhannya. Hal ini mengindikasikan terdapatnya keterkaitan antar waktu dan lokasi pada data harga daging sapi. Penelitian ini bertujuan mendapatkan model terbaik dengan membandingkan model VAR dan GSTAR untuk meramalkan harga daging sapi di Jakarta, Surabaya, Mataram dan Kupang dari Januari 2013 hingga Juni 2016. Hasil pemodelan menunjukkan bahwa VARI (1,1) adalah model terbaik dengan nilai mean absolute percentage error (MAPE) sebesar 0.8282046%.
Keyword: Generalized Space Time Autoregressive,