Indonesian Institute of Sciences

About: Indonesian Institute of Sciences is a facility organization based out in Jakarta, Indonesia. It is known for research contribution in the topics: Population & Genus. The organization has 4795 authors who have published 10544 publications receiving 76990 citations. The organization is also known as: Indonesian Institute of Sciences Cibinong, Indonesia.

Oceanic islands of Wallacea as a source for dispersal and diversification of murine rodents

Abstract: 1Sciences Department, Museums Victoria, Melbourne, Vic., Australia 2School of BioSciences, The Univeristy of Melbourne, Parkvillie, Vic., Australia 3Museum Zoologicum Bogoriense, Research Center For Biology, Indonesian Institute of Sciences (LIPI), Cibinong, Indonesia 4Institut des Sciences de l'Evolution de Montpellier (ISEM), CNRS, IRD, EPHE, Université de Montpellier, Montpellier, France 5Department of Environmental and Plant Biology, Ohio University, Athens, OH, USA 6Department of Biological Science, Florida State University, Tallahassee, FL, USA 7Museum of Natural Science, Louisiana State University, Baton Rouge, LA, USA 8Department of Biological Sciences, Louisiana State University, Baton Rouge, LA, USA

Data classification for air quality on wireless sensor network monitoring system using decision tree algorithm

Abstract: Currently, the air quality monitoring becomes important things for knowing the value of air pollution especially in the cities. In our previous research, we built the air quality monitoring system using wireless sensor network (WSN). Each sensor nodes will transmit all of the air quality data to the base station controller (BSC). This data consists of weather condition, temperature, humidity, carbon monoxide (CO) and carbon dioxide (CO 2 ). In this paper, we propose an implementation of the classification algorithm for classifying air quality in BSC node for generating the danger status of the warning system. By using the C4.5 algorithm, the entropy and information gain values of each case were determined in order to construct the decision tree structure and building the rule sets. From the experiment using confusion matrix, we can see that the proposed decision tree algorithm has the capability to classify the air quality data from sensor nodes with the accuracy of 85.71%, the precision of 81.82%, the sensitivity of 60.00%, and the specificity of 92.31%.

A purely green synthesis of silver nanoparticles using Carica papaya , Manihot esculenta , and Morinda citrifolia : synthesis and antibacterial evaluations

Abstract: Green procedure for synthesizing silver nanoparticles (AgNPs) is currently considered due to its economy and toxic-free effects. Several existing works on synthesizing AgNPs using leaves extract still involve the use of physical or mechanical treatment such as heating or stirring, which consume a lot of energy. To extend and explore the green extraction philosophy, we report here the synthesis and antibacterial evaluations of a purely green procedure to synthesize AgNPs using Carica papaya, Manihot esculenta, and Morinda citrifolia leaves extract without the aforementioned additional treatment. The produced AgNPs were characterized using the ultraviolet–visible spectroscopy, field emission scanning electron microscopy, energy-dispersive X-ray spectroscopy, Fourier transform infrared spectroscopy, and antibacterial investigations. For antibacterial tests, two bacteria namely Escherichia coli and Bacillus cereus were selected. The presently employed method has successfully produced spherical AgNPs having sizes ranging from 9 to 69 nm, with plasmonic characteristics ranging from 356 to 485 nm, and energy-dispersive X-ray peak at approximately 3 keV. In addition, the smallest particles can be produced when Manihot esculenta leaves extract was applied. Moreover, this study also confirmed that both the leaves and synthesized AgNPs exhibit the antibacterial capability, depending on their concentration and the bacteria type.

Selligueain A, a novel highly sweet proanthocyanidin from the rhizomes of Selliguea feei.

Abstract: Selligueain A, a novel sweet trimeric proanthocyanidin with a doubly linked A unit, has been isolated from the rhizomes of Selliguea feei collected in Indonesia. The structure of this substance was established as epiafzelechin-(4 beta-->8, 2 beta-->O-->7)-epiafzelechin-(4 beta-->8)-afzelechin [1], on the basis of a combination of spectral and chemical methods. The compound was not acutely toxic for mice and not mutagenic in a forward mutation assay utilizing Salmonella typhimurium strain TM677. Selligueain A [1] was rated by a taste panel as exhibiting about 35 times the sweetness intensity of a 2% w/v aqueous sucrose solution, and at a concentration of 0.5% w/v in H2O was perceived as pleasant-tasting rather than astringent.