Pengaruh Penambahan PVP Pada Indikator Alami Curcuma Longa L. Untuk Mendeteksi Boraks Pada Bakso

Borax is widely used in making various foods such as meatballs, wet noodles, pisang molen, lemper, siomay, lontong, ketupat , and pangsit. Curcumin contained in turmeric can detect the presence of borax content in meatballs by breaking down the borax bonds to boric acid and binding them to rosa color complex compounds called boron compounds cyano curcumin complex. Making a test strip by immobilizing filter paper on the turmeric indicator which has been added polyvinyl pyrrolidone 1% and applied to the meatballs so that it can determine whether there is a borax content in the meatballs. The response time of the test strip is 30 seconds. The test strips of turmeric extract without the addition of polyvinyl pyrrolidone leave the remaining turmeric color in the meatballs while the test strip results of turmeric extract with the addition of polyvinyl pyrrolidone 1% do not leave the remaining turmeric color in the meatballs. The three meatball samples taken in the Pondok Sukorejo area did not contain borax. Keywords: Borax Content In Meatballs, Strip Test, Turmeric Indicator. ABSTRAK Boraks banyak digunakan dalam pembuatan berbagai makanan seperti bakso, mie basah, pisang molen, lemper, siomay, lontong, ketupat, dan pangsit. Kurkumin yang dikandung oleh kunyit dapat mendeteksi adanya kandungan boraks pada bakso dengan menguraikan ikatan–ikatan boraks menjadi asam borat dan mengikatnya menjadi senyawa kompleks warna rosa yang disebut dengan senyawa boron cyano kurkumin kompleks. Pembuatan strip test dengan cara mengimobilisasikan kertas saring pada indikator kunyit yang telah ditambah polivinil pirolidon 1% dan diaplikasikan pada bakso sehingga dapat mengetahui ada tidaknya kandungan boraks dalam bakso tersebut. Waktu respon dari strip test yaitu 30 detik. Strip test dari ekstrak kunyit tanpa penambahan polivinil pirolidon meninggalkan sisa warna kunyit pada bakso sedangkan hasil strip test dari ekstrak kunyit dengan penambahan polivinil pirolidon 1% tidak meninggalkan sisa warna kunyit pada bakso. Ketiga sampel bakso yang diambil di wilayah Pondok Sukorejo tidak mengandung boraks. Kata kunci : Kandungan Boraks dalam Bakso, Strip Test, Indikator Kunyit

Multi-Lingual Text Localization via Language-Specific Convolutional Neural Networks

Scene text localization and recognition is a topic in computer vision that aims to delimit candidate regions in an input image containing incidental scene text elements. The challenge of this research consists in devising detectors capable of dealing with a wide range of variability, such as font size, font style, color, complex background, text in different languages, among others. This work presents a comparison between two strategies of building classification models, based on a Convolution Neural Network method, to detect textual elements in multiple languages in images: (i) classification model built on a multi-lingual training scenario; and (ii) classification model built on a language-specific training scenario. The experiments designed in this work indicate that language-specific model outperforms the classification model trained over a multi-lingual scenario, with an improvement of 14.79%, 8.94%, and 11.43%, in terms of precision, recall, and F-measure values, respectively.

A Novel Spectrophotometric Method for Determination of Histamine Based on Its Complex Reaction with Ni(II) and Alizarin Red S

The development of analytical methods of histamine using Ni (II) and alizarin red S reagents by UV-Vis spectrophotometry has been done. The objective of this research is to determine the ability of Ni(II) and alizarin red S to form color complex compound with histamine and it will be used to detect the presence of histamine qualitatively and quantitatively as well. Absorbance was measured at a maximum wavelength of 604 nm. In this method, it has been carried out optimization of analytical parameters such as the concentration of Ni(II), the concentration of alizarin red S, pH, and respond time. Analytical parameter optimization showed concentration of Ni(II) is 20 ppm, alizarin red S 75 ppm, pH 8, and a respond time of 15 minutes. Method validation indicated that the coefficient of variation, detection limit, and the limit of quantitation are 0.245%; 9.49 ppm; and 31.62 ppm respectively with a sensitivity of 0.0063/ppm and linearity of 0.99. Accuracy to histamine with a concentration of 50, 75, and 125 ppm are 105.87%, 101.06%, 97.21%, respectively.