Judul: Estimasi Kandungan Lignin pada Dedak Padi Menggunakan KNN dengan Praproses PCA Berdasarkan Citra Grayscale
Abstrak: Pemalsuan dedak padi yang telah tercampur sekam bisa menurunkan kualitas pakan. Pengujian kandungan sekam dapat diukur dari kandungan lignin melalui reaksi pewarnaan menggunakan larutan phloroglucinol. Warna merah yang semakin pekat menunjukkan semakin tinggi kandungan sekam pada dedak padi. Oleh karenanya, pada penelitian ini akan dilakukan estimasi kandungan lignin pada dedak padi yang telah diwarnai tersebut dengan ekstraksi fitur berbasis Principal Component Analysis (PCA) dengan metode klasifkasi K-Nearest Neighbor (KNN). Citra yang digunakan adalah citra grayscale yang diperoleh dari transformasi citra RGB. Penelitian ini menghasilkan akurasi prediksi tertinggi sebesar 77.27%., Counterfeiting of rice bran mixed with husks can reduce feed quality. The husk content test can be measured from the lignin content through a staining reaction using a phloroglucinol solution. The darker red color indicates the higher the husk content in the rice bran. Therefore, this study will estimate the lignin content of rice bran mixed with husks using feature extraction based on Principal Component Analysis (PCA) with the K-Nearest Neighbor (KNN) classification method. The image used is a grayscale image obtained from the RGB image transformation. This research resulted in the highest prediction accuracy of 77.27%.
Keyword: grayscale, K-Nearest Neighbor, Principal component analysis, rice bran

Judul: Estimation of Lignin Content in Rice Bran Mixed with Husks Using PNN Based on Color Imagery
Abstrak: Dedak padi yang mengalami penurunan kualitas dipengaruhi oleh pemalsuan dedak padi dengan mencampurkan bahan lain yang kualitasnya lebih rendah, salah satu bahan yang dicampukan kedalam dedak padi adalah sekam. Dedak padi yang bercampur sekam memiliki kandungan serat kasar dan lignin yang bersifat anti nutrisi. Kandungan lignin dapat diketahui dengan pengujian reaksi pewarnaan menggunakan larutan phloroglucinol. Maka dari hal tersebut penelitian ini dilakukan untuk mengestimasi kandungan lignin pada citra dedak padi bercampur sekam dari hasil uji reaksi pewarnaan dengan memanfaatkan fitur warna RGB dan HSV menggunakan klasifikasi Probabilistic Neural Network (PNN). Data yang digunakan dalam penelitian ini sebanyak 132 dataset yang dibagi menjadi 88 data latih dan 44 data uji. Dari penelitian ini didapat hasil akurasi tertinggi sebesar 79.54%., Rice bran that has decreased in quality is influenced by the adulteration of rice bran by mixing other ingredients of lower quality, one of the ingredients that is thrown into rice bran is husk. Rice bran mixed with husks contains crude fiber and lignin which are anti-nutrients. The lignin content can be determined by testing the staining reaction using phloroglucinol solution. Therefore, this study was conducted to estimate the lignin content in the image of rice bran mixed with husks from the results of the coloring reaction test by utilizing RGB and HSV color features using the Probabilistic Neural Network (PNN) classification. The data used in this study were 132 datasets divided into 88 training data and 44 test data. From this study, the highest accuracy result of 79.54%.
Keyword: HSV, klasifikasi, lignin, probabilistic neural network, RGB

Judul: Dynamical System of Hepatitis B in Three Groups with Vaccination
Abstrak: The aim of this study is to modify the hepatitis B transmission model in three age groups involving vaccination from the model conducted by Zhoe and Zhang.The method used is to analyze the stability of the fixed point and its basic reproduction number (R_0). Performed stability analysis and numerical simulation to see population dynamics. Next, a sensitivity analysis of the parameters was carried out to see its effect on R_0. From the analysis obtained two fixed points, namely non-endemic and endemic fixed points. Non-endemic fixed points are locally asymptotically stable if R_0 <1 Meanwhile, the endemic fixed point is locally asymptotically stable if R_0 > 1. Hepatitis vaccination affects the number of susceptible population, because the more successful the vaccination, the smaller the number of susceptible populations so that the smaller the population will be infected.
Keyword: Dynamic, Hepatitis B, Vaccine, Mathematical model