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INDONESIA
YOUNGSTER PHYSICS JOURNAL
Published by Universitas Diponegoro
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Physics
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Articles 282 Documents
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RANCANG BANGUN ALAT UKUR INTENSITAS CAHAYA UNTUK MENENTUKAN SUDUT PUTAR JENIS SUATU BAHAN BERBASIS MIKROKONTROLER AVR ATMEGA8535 Ria Amitasari; K. Sofjan Firdausi
Youngster Physics Journal Vol 1, No 1 (2012): Youngster Physics Journal Oktober 2012
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

ABSTRACT The Research has been conducted to design and realize an instrument for measuring the intensity of light to determine the specific rotation of  material based to microcontroller AVR ATmega8535. The specific rotation to determine the type of optical properties of a material. Measuring instruments using LDR as light sensors acquired using a microcontroller. Light intensity are displayed using LCD. Light intensity was measured to obtain the polarization angle (θ) based on the law of Malus. The specific rotation (α) obtained from the change polarization angle due to the material passing through 1 cm at each change of concentration of sugar solutions. The source of light was halogen lamp 50 watt. Materials used for polarization calibration tool are solutions of sugar. The study producing an instrument measuring the intensity of light that can be used to determine the optical properties of materials based on the specific rotation using the law of Malus. Measuring instrument of light has been calibrated with standards Luxmeter Lutron LX 101 and gave linier with a correlation coefficient of 0.99. The instrument produced specific rotation of sugar (54.17 ± 2.16) o/dm(g/mL) and gave linier correlation coefficient of 0.99. Key words: optical properties, specific rotation, the law of Malus, light intensity, LDR,  microcontroller,LCD
KLASIFIKASI DAERAH LONGSOR BERBASIS PENGOLAHAN CITRA MENGGUNAKAN JARINGAN SYARAF TIRUAN PROPAGASI BALIK Putri Nuriskianti; Kusworo Adi; Tony Yulianto
Youngster Physics Journal Vol 4, No 2 (2015): Youngster Physics Journal April 2015
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

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Abstract

Landslides are natural events that occur due to the ground movement of the earth's surface. The movement influenced by its constituent such as soil type, land use and intensity of rainfall in some place that causes a material such as ground was moving. Research on landslide done based on field surveys. The potential of a region in the category of landslides can be done by mapping parameters - parameters of landslides in the form of a calculation using the image of a network system that has been trained to predict the condition of an area.Image processing is done by segmenting color for any information presented in an image of landslides parameters. The color segmentation results performed labeling process to represent the information in the image. Then the landslides indices obtained from the manual calculation of weighting parameters. The result of the calculation is used as an instructional manual for the neural network. Where the value of the index 1 is the lowest level of landslide or safety category. While the index level 5 is the highest landslide or category of highly vulnerable to landslides. To process the data from the manual calculation in artificial neural network using backpropagation algorithm.The research data was training data and testing of tissue obtained from the manual calculation of weighting parameters landslides. Network training successfully conducted with a total accuration (index normal manual landslides and landslide index network) of 100% and accuration of test results 91,2% network. In the training data used 96 samples of data and test data as much as 34 data.Keywords: Landslide index, color segmentation, artificial neural network.

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