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ISOLAT BAKTERI DAN KEMAMPUANNYA MENDEGRADASI DIMETOAT Yasa Palaguna Umar; Wignyanto Wignyanto; Nimas Mayang Sabrina Sunyoto
Industria: Jurnal Teknologi dan Manajemen Agroindustri Vol 4, No 3 (2015)
Publisher : Department of Agro-industrial Technology, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (266.367 KB)

Abstract

Abstrak Pestisida yang banyak direkomendasikan untuk bidang pertanian adalah golongan organofosfat, karena golongan ini lebih mudah terurai di alam. Pestisida jenis organofosfat di negara berkembang seperti Indonesia biasanya ditemukan dalam bentuk insektisida. Penggunaan pestisida yang secara terus menerus dapat menyebabkan akumulasi residu pada tanah yang dapat membahayakan biota tanah dan dapat mencemari tanah sehingga ekosistem terganggu. Oleh karena itu perlu adanya penelitian untuk mengurangi efek buruk dari insektisida pada lingkungan. Pada penelitian ini bakteri yang diperoleh dari hasil isolasi lalu diujikan kemampuannya dalam mendegradasi salah satu jenis insektisida. Media yang digunakan adalah media Mineral Salt. Pengujian kandungan dimetoat di lakukan dengan Liquid Chromatography-Mass Spectrometry (LCMS) untuk melihat kemampuan isolat bakteri dalam mendegradasi dimetoat. Untuk mengetahui efektivitas isolasi bakteri dalam pendegradasian dimetoat, analisa data penelitian dilakukan dengan menggunakan metode uji-T berpasang (paired T-test) untuk populasi saling tergantung (dependen). Hasil penelitian menunjukkan bahwa isolat bakteri mampu mendegradasi dimetoat dari 1000 ppb pada hari pertama hingga 502,56 ppb pada hari ketiga. Hal ini menunjukan bahwa kemampuan isolat bakteri dalam menurunkan dimetotat disebabkan adanya sumber karbon pada dimetoat yang berperan sebagai sumber makanan utama bagi isolat bakteri.Kata Kunci: Biodegradasi, Bakteri, Dimetoat, Insektisida, LC-MS,Abstract The organophosphate group is a recommended pesticide in agricultural field since it is easier to decompose in nature. This pesticide type in developing countries, such as Indonesia, is usually found in the form of insecticide. A continuous usage of pesticides may lead to residue accumulation in soil which in turn endangers land biota and pollutes land thus disturbs the ecosystem. Therefore, a research to decrease the unfavourable effect of insecticide to the environment. In the study, the bacteria from isolation result were then tested for their ability to degrade dimethoate, as a type of insecticide. The media used in the study was Mineral Salt and the Liquid Chromatography-Mass Spectrometry (LC-MS) was used to observe the capability of the bacteria isolate in degrading dimethoate. The study was conducted with paired T-test method for dependent population to identify the effectiveness of bacteria isolate in degrading dimethoate. The result shows that bacteria isolate was able to degrade dimethoate from 1000 ppb on the first day to 502.56 ppb on the third day. It is believe that the bacterial isolate ability in degrading dimethoate was caused by carbon source in dimethoate which acted as a main nutrition for the bacterial isolate.Keywords: Biodegradation, Bacteria, Dimethoate, Insectiside, LC-MS
Detecting Potential Biodiversity Hotspots for Development of REDD+ Safeguards Based on Analyses of Land-Cover Complexity in East Java, Indonesia Yasa Palaguna Umar; Satoshi Ito; Yasushi Mitsuda; Ryoko Hirata; Tsuyoshi Kajisa; Hagus Tarno; Karuniawan Puji Wicaksono; Arifin Noor Sugiharto
AGRIVITA, Journal of Agricultural Science Vol 41, No 2 (2019)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v41i2.2010

Abstract

We examined a new method to detect the biodiversity hotspots in terms of complex patch mosaics at a regional scale in East Java, Indonesia, in order to develop the safeguard against further expansion of monocultures by REDD+. A land-cover map consisting of five major land-cover types (forest, agricultural land, bare land, water, and residential) was generated with a 30 m x 30 m resolution by the unsupervised classification of a Landsat8-OLI image. Shannon’s diversity index (H’) was calculated for each of 10.98 ha (11 x 11 pixels) landscape throughout the study area based on the dominance of the land-cover types by five calculation methods with different combinations of land-cover types. Then, the landscapes of upper 5 % in H’ was selected as the potential hotspots in terms of highly complex patch mosaics. Among the five potential hotspots, the calculation of H’ with four land-cover types (forest, agriculture, water, and bare land) was thought to be most suitable to set conservation targets at a regional scale, because the potential hotspots by this method showed aggregated distribution patterns, and was less sensitive to the small residential patches. While, no clear distribution trend was observed along the environmental gradients.