Judul: Receipt Recorder Application Development Using Tesseract OCR Engine
Abstrak: Dalam kegiatan transaksi harian yang kita lakukan, kegiatan pencatatan pengeluaran adalah hal yang penting dilakukan untuk mengatur anggaran belanja. Oleh karena itu, dibutuhkan suatu alat untuk mencatat pengeluaran tersebut. Penelitian ini merancang sebuah aplikasi web pencatat belanja dengan mengimplementasikan teknologi Optical Character Recognition (OCR) Tesseract yang mampu mengekstrak tulisan pada gambar nota belanja menjadi teks yang dapat diedit. Aplikasi yang diberi nama “Receipt Recorder” ini dibangun dengan metode pengembangan Waterfall menggunakan framework Angular untuk front end, ExpressJS untuk back-end, dan MongoDB sebagai database. Dengan adanya aplikasi ini, pengguna dapat mencatat pengeluaran belanjanya tanpa perlu melakukan input nominal total secara manual. Hasil dari penelitian ini menunjukkan bahwa teknologi OCR Tesseract cocok digunakan untuk mengekstrak data dari struk bertipe cetak.
Keyword: Angular, Express JS, MongoDB, Pencatat Pengeluaran, Tesseract, Optical Character Recognition

Judul: Aplikasi Pencari Info Obat dengan Masukan Citra Teks Kemasan Obat Berbasis Android Menggunakan Tesseract OCR Engine
Abstrak: Detailed information on drug is usually written on a leaflet that can only be read when the package has been opened. It is difficult for consumers who just want to know the detailed information of certain drug to decide whether the drug will be bought or not. A solution is needed to convert drug brand text image into editable text, so that it can be used as a keyword query for drug info searching on the internet. Optical Character Recognition (OCR) is a process to convert image into editable text. Tesseract performs several processes to identify drug brand text image. The processes are image preprocessing, feature extraction, segmentation, and word recognition. This research developed an Android application to recognize drug brand text image. Tesseract is used because it has good accuracy in recognizing text with serif and sans serif font which have far density between characters. Drug packaging input image of the application can be taken from a camera or gallery. The best accuracy of this application in recognizing characters with 70 drug packaging images reached 96.80%.
Keyword: Bogor Agricultural University, Tessera, optical character recognition, drug, Android

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