Indonesia is an archipelagic country where 2/3 of its territory is ocean. The vastness of Indonesia's oceans is expected to produce abundant sea products that can meet the needs of Indonesian consumers, especially fish. Adequacy of the amount of fish consumption can be assessed through the number of fish catch. Based on data at the Ministry of Marine Affairs and Fisheries in 2015, West Java has a low growth of fish consumption, 6.05% in 2010-2014. Therefore, it is necessary to forecast the results of fish catch for several years ahead so it can be known whether the provision of fish consumption will be fulfilled or not. One method that can be used is Singular Spectrum Analysis (SSA). The SSA method is a flexible method because it uses a nonparametric approach. That is, in its application, this method does not require the model specification of time series data, as well as parametric assumptions. Forecasting accuracy of a method is said to be good if it has a MAPE value less than 20%. MAPE of SSA method forecast is 6.19% so that SSA method is suitable for forecasting of capture fishery production in West Java Province. The forecast for fishery production in West Java Province in 2015 for the first, second, third, and fourth quarter were 53,978.49 Ton, 54,406.91 Ton, 50,889.11 Ton, and 56,896.96 Ton, respectively.
Pterygospermin, Quercetin, Rutin, and β-amyrin which has an antiviral potential compounds against COVID 19 by inhibiting M pro and RdRp activity. [15][16][17][18] Besides all the compounds above, Oleic acid was most found at around 84% in M. Oleifera. 19 M. oleifera was the most appropriate candidate for an antiviral agent against SARS-CoV-2. The aim of this study was to screen bioactive compounds of Moringa oleifera and to identify the antiviral potential compounds toward SARS-CoV-2 through an entry inhibitor mechanism. METHODS Data mining of sampleThe bioactive compounds of M. oleifera which consist of anthraquinone, apigenin, aurantiamide acetate, benzyl isothiocyanate, chlorogenic acid, chrysin, dibutyl phthalate, ellagic acid, hesperidin, isorhoifolin, myricetin, pterygospermin, quercetin, rutin, and vitex. The bioactive compounds of M. oleifera were retrieved format from PubChem database (https://pubchem.ncbi.nlm.nih.gov/) in sdf format. 20 Protein modelingThe structure of M pro and RdRp as the target proteins which were not available in the RCSB PDB database was modeled based on their amino acid sequence. The NCBI (https://www.ncbi.nlm.nih.gov/) database was used to retrieve sequences of amino acids with fasta format. Furthermore, protein modeling is made through the SWISSMODEL site (https://swissmodel. expasy.org/). The selection of protein models was selected from several parameters such as QMQE value, QMEAN value, coverage value, local quality value, and comparison plot. In addition, the protein
The global COVID-19 pandemic caused by SARS-CoV-2 has been the resulted of massive human deaths since early 2020. The purpose of this study was to determine the potential of mangosteen (Garcinia mangostana L.) as an inhibitor of RBD spike, helicase, Mpro, and RdRp activity of SARS-CoV-2 with an in silico approach. The samples were obtained from PubChem and RCSB PDB. Analysis of the similarity of the drug was carried out with the Swiss ADME on the basis of Lipinski rule of five. Prediction of antivirus probabilities was carried out using PASS Online. Molecular screening was performed using PyRx through molecular docking. Discovery Studio was used for visualization. The bioactive compounds with the highest antiviral potential were indicated with the lowest binding affinity to the targeted proteins RBD spike, helicase, Mpro, and RdRp of SARS-CoV-2. The results indicated that mangiferin has the greatest potential as a potential antiviral. However, more research is required to validate the results of these computational predictions.
West Sumatra has 2 peak of rainy seasons, October-November and March to May. The high intensity of rainfall causes West Sumatra has potential to floods. Precise forecasting is needed to be a reference for the government. One of the method can be used is SSA. This method is flexible because it does not require specific form of time series data, as well as parametric assumptions. Thus, accurate forecasting results is expected to be provided from the SSA method. From the forecasting process that has been done, obtained MAPE of 17% with the tracking signal value within the tolerance range.
Rainfall data in West Sumatra in 2001–2018 is assumed to have a seasonal pattern. Several methods can be used to model this data, including SSA and SARIMA. Each method has a different approach but has its own advantages. Therefore, a comparison will be made between the two based on the MAPE. According to the forecasting result, obtained MAPE for SSA is 17% and 22.75% for SARIMA.
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