Judul: Simulation of One Enzyme-Based Biosensor Model with the Addition of pH Factor
Abstrak: Model matematika pada biosensor berbasis satu enzim dengan penambahan pH didasarkan pada sistem persamaan difusi dan reaksi bergantung waktu yang menggambarkan mekanisme laju reaksi substrat dan produk yang sesuai dengan reaksi katalis Michaelis-Menten. Model tersebut dideskripsikan melalui bentuk persamaan diferensial parsial, lalu persamaan tersebut diubah dalam bentuk tak berdimensi dengan cara mereduksi parameter-parameter dari persamaan. Persamaan tersebut diselesaikan menggunakan metode beda hingga secara eksplisit dan perangkat lunak MATLAB. Hasil simulasi divalidasi melalui proses kekekalan massa pada reaksi substrat dan produk. Solusi numerik dari penelitian ini dapat menggambarkan konsentrasi substrat dan produk serta respons arus listrik di dalam lapisan enzimatik ketika ditambahkan pH. Perubahan nilai parameter-parameter dalam model dapat menyebabkan perubahan dalam proses laju difusi dan reaksi. Penambahan pH dalam simulasi ini mempercepat laju reaksi substrat-produk serta melihat lebih teliti puncak arus listrik yang dihasilkan pada saat biosensor bekerja. Model biosensor berbasis satu enzim dengan penambahan pH ini diharapkan dapat dikembangkan lebih lanjut dengan fokus pada jenis enzim dan analit yang spesifik. Nilai parameter-parameter yang digunakan dalam penelitian ini dapat disempurnakan melalui studi literatur ataupun eksperimen untuk lebih mengoptimalkan model ini., The mathematical model of a single enzyme-based biosensor with pH addition is based on a system of time-dependent diffusion and reaction equations that describe the mechanism of substrate and product reaction rates corresponding to the Michaelis-Menten catalyst reaction. The model is described through the form of partial differential equations, then the equations are converted into dimensionless form by reducing the parameters of the equations. The equation is solved using the explicit finite difference method and MATLAB software. The simulation results are validated through the mass conservation process in the substrate and product reactions. The numerical solution of this study can describe the substrate and product concentrations as well as the electric current response in the enzymatic layer when pH is added. Changes in the values of the parameters in the model can cause changes in the diffusion and reaction rate processes. The addition of pH in this simulation accelerates the substrate-product reaction rate and looks more closely at the peak of the generated electric current when the biosensor is working. This single enzyme-based biosensor model with pH addition is expected to be further developed with a focus on specific types of enzymes and analytes. The values of the parameters used in this research can be refined through literature studies or experiments to further optimize this model.
Keyword: biosensor, enzim, metode beda hingga, pH, biosensor, enzyme, finite difference method, pH

Judul: One Enzyme Based Biosensor Model Simulation
Abstrak: Model matematika pada biosensor berbasis satu enzim didasarkan pada sistem dua persamaan difusi dan reaksi bergantung waktu yang menggambarkan mekanisme laju reaksi substrat dan produk yang sesuai dengan reaksi katalis Michaelis-Menten. Model tersebut digambarkan melalui bentuk persamaan diferensial parsial kemudian persamaan tersebut diubah dalam bentuk tak berdimensi dengan cara mereduksi parameter-parameter dari persamaan. Persamaan tersebut diselesaikan menggunakan metode beda hingga secara eksplisit dengan bantuan perangkat lunak MATLAB. Validasi hasil simulasi ditunjukkan oleh terjadinya proses kekekalan massa pada reaksi substrat dan produk. Hal ini juga membuktikan bahwa simulasi model biosensor ini sesuai dengan solusi analitik. Solusi numerik dari penelitian ini dapat menggambarkan konsentrasi substrat dan produk serta respons fluks arus di dalam lapisan enzimatik. Adapun perubahan nilai parameter-parameter dalam model tersebut dapat menyebabkan perubahan dalam proses laju difusi dan reaksi tersebut. Model biosensor berbasis satu enzim ini diharapkan dapat dikembangkan kembali dengan fokus pada jenis enzim dan analit tertentu. Nilai parameter-parameter yang digunakan dalam penelitian ini dapat disempurnakan melalui eksperimen untuk lebih mengoptimalkan model ini., The mathematical model of the one-enzyme-based biosensor is based on a system of two diffusion equations and a time-dependent reaction that describes the reaction rate mechanism of the substrate and product according to the Michaelis- Menten catalyst reaction. The model is described in the form of a partial differential equation and then the equation is converted into a dimensionless form by reducing the parameters of the equation. The equation is solved using the finite difference method explicitly with the help of MATLAB software. The validation of the simulation results is shown by the occurrence of a mass conservation process in the reaction of the substrate and product. It also proves that the simulation of this biosensor model fits the analytical solution. The numerical solution of this research can describe the concentration of substrate and product as well as the current flux response in the enzymatic layer. The changes in the values of the parameters in the model can cause changes in the rate of diffusion and reaction processes. It is hoped that this one-enzyme-based biosensor model can be developed again with a focus on certain types of enzymes and analytes. The values of the parameters used in this study can be refined through experiments to further optimize this model.
Keyword: biosensor, enzim, metode beda hingga, biosensor, enzyme, finite difference method

Judul: Ragam jenis ektoparasit burung tekukur (Streptopelia chinensis) dan burung puter (Streptopelia bitorquata) di penangkaran
Abstrak: Spotted dove and Javan turtle dove are the bird species that are easily raised in captivity. Nevertheless, good management is required to successfully breed and raise the birds in captivity; otherwise, the condition may endanger the sustainability of the two bird species. Information on ectoparasites on the bodies of this bird as well as their captivity breeding has not been available, although admittedly taking ectoparasites from these bird families has much been done so that a research is obviously needed. This study aimed to find out various kinds of Spotted dove and Javan turtle dove ectoparasites and to learn various kinds of parasitic insects around the Spotted dove and Javan turtle dove cages. The study was conducted from April to June 2010. The methods of data collection included the general condition of the location, collection of ectoparasites specimens, processing and specimens identification. The data analysis was done descriptively and tabulated with the degree of infestation. The kinds of ectoparasites from the class of insects found in the body of Spotted dove were Goniocotes sp. and Columbicola columbae of phthiraptera order and Pseudolynchia canariensis of diptera order, and arachnida class, that is, tungau from the pterolichidae family. In terms of ectoparasites, Spotted dove and Javan turtle dove were similar, except that Javan turtle dove had no Pseudolynchia canariensis. Goniocotes sp. and Columbicola columbae were mallopaga order (biting lice) and were obligate. The kinds of parasitic insects in the vicinity of Spotted dove and Javan turtle dove cages were from the Ordo Diptera. The diptera classified as parasites included Anopheles, Culex, Psychodidae, Culicoides and Simulium, most of them vectors of disease. The presence of ectoparasites was closely related to how a breeding place is managed.
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