Judul: Simulasi Model Biosensor Berbasis Multi Enzim dengan Penambahan Faktor pH
Abstrak: Penelitian ini membahas mekanisme difusi reagen pada biosensor berbasis multi enzim. Model yang digunakan dibentuk dari persamaan difusi dengan faktor nonlinier Michaelis-Menten akibat reaksi kimia yang terjadi pada membran katalitik. Persamaan difusi tersebut direkonstruksi sehingga hanya mengandung besaran tak berdimensi dan diselesaikan menggunakan metode beda hingga eksplisit. Pada penelitian ini, faktor pH lingkungan dipertimbangkan dan dimasukan kedalam model biosensor berbasis multi enzim. Solusi numerik berupa mekanisme difusi dan keluaran fluks listrik diperoleh pada variasi pH lingkungan tertentu. Secara keseluruhan solusi numerik model tersebut menunjukkan bahwa pada pH yang tinggi laju difusi berlangsung lebih cepat dan keluaran fluks listrik lebih besar. Selain itu, pH lingkungan dapat mempengaruhi besar signifikansi dari kondisi parameter kimia yang berbeda seperti konstanta laju reaksi dan konstanta disosiasi asam-basa., This research discusses the mechanism of reagent diffusion in multi-enzyme-based biosensors. The model used is formed from the diffusion equation with the Michaelis-Menten nonlinear factor due to chemical reactions that occur in the catalytic membrane. The diffusion equation is reconstructed so that it only contains dimensionless quantities and being solved using the explicit finite difference method. In this study, environmental pH factors were considered and included in the multi-enzyme-based biosensor model. Numerical solutions in the form of diffusion mechanisms and electric flux outputs are obtained at some environmental pH variations. Overall, the numerical solution of the model shows that at high pH the diffusion rate is faster and the electric flux output is greater. In addition, the environmental pH can significantly affect the conditions of different chemical parameters such as the reaction rate constant and the acid-base dissociation constant.
Keyword: biosensor multi enzim, metode beda hingga, biosensor berbasis pH, kinetika enzimatik, multi-enzyme biosensor, finite difference method, pH based biosensor, enzyme kinetics

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: Characteristic of Overshooting Top (OT) Based on  Himawari  8  Satellite  as  a  Convective  Cloud  Feature  that  Generates  Extreme Weather in the Java Island Region
Abstrak: Overshooting Top (OT) is a feature at the top of a convective cloud that is associated with extreme weather. Research on OT in tropical Indonesia is still very limited. The existence of geostationary satellites with wide area coverage and fast frequency observations is useful for observing the fast dynamics of the OT life cycle. Therefore, this study intends to analyze the relationship between OT and extreme weather, updraft and thermodynamic conditions of OT when extreme weather occurs, the best objective method for detecting OT in the day time and night time, and the spatiotemporal distribution of OT in the tropical region of Java Island during the 2018-2021 period. Based on visual analysis using visible channel and Himawari 8 sandwich products, 87% of extreme weather events in Java were accompanied by the appearance of OT. It indicates that the presence of the OT pattern is a convection cloud pattern or feature that is closely related to extreme weather events for the Java Island region. The existence of a time lag between the appearance of OT and extreme weather events on Java Island indicates that the OT of convection cloud can be used as a precursor or nowcasting for the appearance of extreme weather. Most of the convective cloud OT features during extreme weather events on Java Island have altitude that were only able to exceed the altitude of the equilibrium level and few were able to exceed the tropopause level of 9 km – 16 km. The difference in atmospheric conditions during extreme weather events on Java Island, which is in the tropics and subtropics, is a strong and unstable convective energy condition characterized by a larger CAPE, as well as unstable KI, LI, SI and TTI values. It is offset by kinematic factors in the form of a weak vertical wind shear (bulk wind shear 0-6 km) and a higher freezing point height. The difference between extreme weather events in the Java Island region and other tropical regions compared to subtropical regions is the strong updraft speed of convection clouds. The IRW Texture COMB algorithm based on the IRW-Texture Gradient modification and the COMB algorithm shows a significant increase in quality for detecting OT and non-OT pixels in Java. Rainy days with rainfall > 50 mm/day are very common in areas with an altitude of > 500 m. On the other hand, the level of convection activity which is indicated by the presence of OT and lightning is significantly reduced in this area. OT of convective clouds appear more frequently during the DJF season and less frequently during the JJA season. OT often appears during the day time and rarely at night time. Most OTs appear in the central part, away from the south and north coasts of Java Island during the day, while OTs that appear near the south and north coasts of Java Island can appear in the morning or afternoon.
Keyword: convective clouds, extreme weather, Overshooting Tops, Himawari 8 Satellite