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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING JAREE (Journal on Advanced Research in Electrical Engineering)
Fitrah Maharani Humaira
Politeknik Negeri Madura
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Hybrid Charging System Management With Automatic Switching Method Abdillah Fashiha Ilman; Fitrah Maharani Humaira; Dzulkiflih Dzulkiflih; Imam Mawardi
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 4, No 2 (2020): October
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25796216.v4.i2.117

Abstract

Hybrid energy generation is a renewable energy power plant with more efficiency and advantages than a stand-alone generator. Using 2 generators for battery storage can speed up the charging of energy to the battery but in the battery charging system, there is still wasted energy and an uncontrolled Charging and Discharging system on the battery resulting in a short battery life. Therefore we need a tool to control the Charging and Discharging performance of the battery in order to optimize battery charging thereby extending battery life. Automatic Switching System is an innovation of Charging and Discharging activity management so that it does not occur simultaneously on the battery, this process is carried out by a microcontroller. The use of 2 DC power sources as a charging source helps speed up battery charging for 30 minutes faster than 1 source. Through several modes provided, this tool can select sources and batteries that can be used as a condition for Charging and Discharging.Keywords: automatic switching, hybrid, management system. 
Analisis Robustness Teks Captcha Paypal HIP Menggunakan Template Matching Fitrah Maharani Humaira; Tengku Musri; Sarimuddin Sarimuddin; Dwi Samsuifin Alham; Aurista Miftahatul Ilmah
Journal of Applied Informatics and Computing Vol 2 No 2 (2018): Desember 2018
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1282.429 KB) | DOI: 10.30871/jaic.v2i2.1039

Abstract

CAPTCHA refer to Completely Automated Public Turing test to tell Computers and Humans Apart. CAPTCHA are used to ensure that the operators are human not robots. The basic idea of using CAPTCHA is segmentation and recognition. Random characters, graphic images, or CAPTCHA audio become possible solutions to improve security and resilience for protection systems. In this paper used CAPTCHA random characters. However the CAPTCHA text needs to be analyzed again whether it is still solved by the computer or not it needs to be analyzed, improved, and developed to avoid automatic interference. Data set of text CAPTCHA paypal or so-called paypal HIP with 20 pieces of training data to get the template as much as 36 images that is from the numbers 0-9 and the letter A-Z. This particular paypal HIP data is limited by not using numbers 0 and 1 with the letters O and Q because of the similarity between the data. The method used starts from pre-processing, segmentation, and classification. Pre-processing techniques used consist of removing noise by tresholding and using cleaning techniques. We use bounding box and padding for segmentation method. And then for classification used counting pixel, vertical projections, horizontal projections, dan template correlation. By using these methods will be known which method can recognize CAPTCHA text accurately so as to affect the robustness of the CAPTCHA text.
Co-Authors Abdillah Fashiha Ilman Aurista Miftahatul Ilmah Dwi Samsuifin Alham Dzulkiflih Dzulkiflih Imam Mawardi Sarimuddin, Sarimuddin Tengku Musri