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All Journal SAINS TANAH - Journal of Soil Science and Agroclimatology Jurnal Tanah dan Iklim
Susanti, Winda Ika
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Agriculture, Biological Sciences & Forestry Education

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POTENSI BAKTERI ASAL TANAH RIZOSFER, SEDIMEN TANAH, DAN PUPUK KANDANG SAPI UNTUK BIODEGRADASI MINYAK BERAT DAN OLI BEKAS Susanti, Winda Ika; Trinanda, Ricky
Jurnal Tanah dan Iklim (Indonesian Soil and Climate Journal) Vol 41, No 1 (2017)
Publisher : Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jti.v41n1.2017.37-44

Abstract

Abstrak: Penelitian ini bertujuan untuk mendapatkan isolat bakteri dari berbagai lokasi yang berpotensi dalam mendegradasi limbah minyak berat dan oli bekas. Percobaan dilakukan dengan tahapan: mengisolasi bakteri dari sepuluh lokasi pengambilan sampel, melakukan seleksi terhadap kemampuan bakteri dalam mendegradasi minyak berat dan oli bekas pada media minimal cair secara in vitro, mengkarakterisasi fisiologi dan biokimia bakteri, serta melakukan uji Total Petroleum Hydrocarbon (TPH). Diperoleh 5 isolat terpilih yaitu isolat OB3-10% yang diperoleh dari sedimen sungai di daerah Babakan Lebak, OB5-10% dan MB5-5% yang diperoleh dari kotoran sapi kering, OB9-10% yang diperoleh dari tanah rizosfer keladi, dan MB10-10% yang diperoleh dari tanah di sekitar perkebunan sawit. Isolat MB5-5% memiliki kemampuan paling baik dalam menurunkan TPH pada tanah tercemar minyak berat dan isolat OB9-10% memiliki kemampuan paling baik dalam menurunkan TPH pada tanah tercemar oli bekas.Abstract. The objective of this research was to obtain potential bacteria capable to degrade heavy oil and used oil. The research carried out in several steps: isolating bacteria from ten sampling location, selection of bacteria capability to degrade heavy oil and used oil in liquid minimal media, characterizing the physiology and biochemistry of bacteria, testing of Total Petroleum Hydrocarbon (TPH). Five selected isolates was obtained, they were: OB3-10% from Babakan Lebak river sediment, OB5-10% and MB5-5% from dried cow manure, OB9-10% from taro rhisozphere, and MB10-10% from oil palm plantation area. Isolate MB5-5% had the best capability in reducing TPH of heavy oil contaminated soil and isolate OB9-10% had the best capability in reducing TPH of used oil contaminated soil. 
Relationship model of land biophysical properties and their influence on Arabica coffee production in Bandung Regency, Indonesia by using the PCR method Pratamaningsih, Mira Media; Hati, Diah Puspita; Susanto, Bambang; Solihin, Muhammad Amir; Yatno, Edi; Susanti, Winda Ika; Hikmat, Muhammad
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 22, No 2 (2025): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v22i2.93206

Abstract

Coffee is an essential agricultural commodity that significantly contributes to Indonesia's foreign exchange revenue. Arabica coffee (Coffea arabica L.), generally grown in highland areas at elevations between 1,000 to 2,000 m above sea level, exhibits persistently low productivity within the country. A primary factor influencing this low yield is the biophysical condition of the land. This study aims to examine the impact of land biophysical characteristics on Arabica coffee productivity and to investigate the interrelationships among those biophysical factors. This study was conducted in Bandung Regency, West Java Province, Indonesia. This study utilized 60 data sets encompassing 22 land biophysical parameters and one plant parameter, specifically coffee productivity. The data collection utilized a survey approach. Land biophysical data were collected through field observations and laboratory analyses, whereas coffee productivity data were obtained through farmer interviews. The principal component regression (PCR) method, incorporating principal component analysis (PCA) and multiple regression, was employed for statistical analysis. The findings indicated 7 principal components (PC) with a data representation level of 75.8%.  PC1 comprises primary components consisting of sand content, clay content, exchangeable Mg, Ca, and Na, with a representation level of 18.6%. PC2 consists of exchangeable K and potential K2O, while PC3 consists of total N, organic C, altitude, and slope. These components are the most significant factors influencing Arabica coffee production. The application of K and N fertilizers along with organic materials is expected to increase Arabica coffee production.
Co-Authors Bambang Susanto Diah Puspita Hati Edi Yatno Hikmat, Muhammad Muhammad Amir Solihin Pratamaningsih, Mira Media Trinanda, Ricky