The Mapping Distribution of Sea Surface Temperature and Relation with the Catch of Cakalang (Katsuwonus Pelamis) Using the Modis Aqua Satellite Image in the Waters of West Sumatera

This study was conducted in May by 2015 at Pelabuhan Perikanan Samudera Bungus, West Sumatra. The purpose of this study is to create a map of the fishing ground Cakalang (Katsuwonus pelamis) in West Sumatera by using Aqua MODIS satellite image. This study used a survey and spasial analysis . The survey methods used to obtain data on secondary i,e the catch is Cakalang (Katsuwonus pelamis) from January-December 2013. The fishing ground of the Cakalang used in this study are at 00 ' N – 40 50 26 ' S and 980 08 ' E – 1000 57 ' E.The distributionof sea surface temperature analyzed satellite imagery Seadas 7.2 rangging from 28,98-31,19 0C whereas maximal catches as much as 14.4500 Kg in the East season

In vivo anxiolytic and in vitro anti-inflammatory activities of water-soluble extract (WSE) of Nigella sativa (L.) seeds

The WSE is a highly polar, gummy and mucilaginous bioactive content of the Nigella sativa (L.) seeds. This study reports the anxiolytic and anti-inflammatory effects of WSE investigated using Elevated Plus Maze (EPM) and Hole-Board Test (HBT) in adult mice and human RBCs haemolysis inhibition and protein denaturation respectively. The oral WSE treatment (100 & 200 mg/kg b.w/day) for 72 hours has exhibited slightly better anxiolytic effect (p < 0.05) through the time span (92.33 & 93.33 s) spent in the opened arms of EPM vs. diazepam (1 mg/kg b.w i.p/day; 69.33 s). In HBT, only WSE (200 mg/kg b.w/day) has shown a promising number of mean head pokes (13.27 times/min) vs. diazepam (12.87 times/min). The WSE (62.5-500 mg/mL) exposure has exhibited 40.14-72.18% protection against lysis of RBCs vs. aspirin (57.04-71.48%) whilst 62.67-67.66% inhibition of protein denaturation vs. diclofenac sodium (43.11-80.64%). The current findings suggested WSE has promising anxiolytic and anti-inflammatory activities

The Development of Supplementary Teaching Material for Ibnu Hadjar's Biography to Improve Collagers' Critical Thinking Skills of History Education

The purpose of this research is to improve capability of critical thingking of the student which relates to historical local figure of South Borneo. The realization of this research is research and develpoment (R&amp;D). The explanation of Ibnu Hadjar's figure was realized in the form of Ibnu Hadjar's biography teaching material supplement products for students of history education offering B class of 2019 as an experimental class and Offering A as a control class at Lambung Mangkurat University who were taking Local History courses. The stages in this study use the 4D model that is indicated by four components, namely identification, design, development, and dissemination. The results of product validation and assessment include learning media expert validators with a percentage of up to 77% and are categorized as feasible to be implemented. The assessment of the material experts obtained a percentage of 91% with the category very feasible to be implemented. Obtaining language validation reached a percentage of 82% and included in the category eligible to be implemented. The student's assessment of teaching material supplement products reaches a percentage of 93% with a very good category. Assessment of lecturers supporting Local History courses obtained a percentage of 85% and can be categorized as interesting. As for the results of the effectiveness of the process of implementing the supplementary product of Ibnu Hadjar's biography teaching material to improve the critical thinking skills of students in the experimental class gained 82% percentage. This is very different from the results of students' critical thinking skills in the control class that were not given and implemented biography teaching material supplement products Ibnu Hadjar. The percentage gained in the control class only reached 56%

Towards authentication of beef, chicken and lard using micro near-infrared spectrometer based on support vector machine classification

NIR (near infrared) spectrometer utilized a quick reliable mean of molecular chemical detection. In this paper, we propose a method on authenticating fats originated from beef, chicken and lard. These compositions can be identified by NIR spectrometers through qualitative and quantitative analysis. Yet most of the analysis lack the capacity to find a pattern in the spectrums to be used in classification or regression models. The disadvantage of spectrum after all is the inability to show the concentration of fatty acids, yet these fatty acid components are shared by all kinds of fat/oil. Therefore, a new method is proposed to create a clear and a distinguishable pattern for the classification. The spectrum of each group (beef fat, chicken fat and pig fat “lard”) of samples were acquired using a readymade micro-NIR spectrometer. The raw data required further processing before using it in the classifier. These processes including standard normal variant and Savitsky-Golay smoothing. Furthermore, the processed data was classified using support vector machine (SVM) with polynomial kernel. The trained SVM model showed 98.33% accuracy for 10-fold cross validation and 86.67% accuracy for unseen/testing data. For each individual kind of fat the model was able to identify the unseen data satisfactorily as follows lard with 100% accuracy and combined, chicken and beef showed 80% accuracy