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Journal : PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic

Designing Motorcycle Security System Using E-KTP Sensor and SMS Gateway Maulidin, Juani Khuswara; Hiswara, Abrar; Sari, Rafika
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 9 No 2 (2021): September 2021
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v9i2.3073

Abstract

Motorcycle demand is increasing as well as the cases of vehicle theft in Indonesia. Not only increase theft cases, number of new modes of theft of the motorcycle is also increase. According to the Statistics Supervisory Agency (BPS) data from 2015 to 2018, the data on the number of motorcycles is increasing, starting every year around 126,508,776 motorcycles are sold in Indonesia. In Indonesia, it is estimated that hundreds of motorbikes are stolen every month. How is the feasibility of motorcycle safety devices and the accuracy of the RFID module. Creating a motorcycle security system using a microcontroller-based RFID-RC522 module that can be read accurately and can be monitored in real time using received SMS and test the feasibility of a motorcycle safety device that can be monitored via cellphone. Making this tool using the Prototype method. The prototype is a development method from the previous system. The results of this research are in accordance with the analysis and design that has been made to get the result of an E-KTP-based motorcycle safety device to increase the security of personal items because this device can activate and deactivate motorcycles by using SMS. This tool can also help the community in maintaining security around the surrounding environment so that they can add a double security system to motorcycle vehicles.
Designing Motorcycle Security System Using E-KTP Sensor and SMS Gateway Juani Khuswara Maulidin; Abrar Hiswara; Rafika Sari
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 9 No 2 (2021): September 2021
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v9i2.3073

Abstract

Motorcycle demand is increasing as well as the cases of vehicle theft in Indonesia. Not only increase theft cases, number of new modes of theft of the motorcycle is also increase. According to the Statistics Supervisory Agency (BPS) data from 2015 to 2018, the data on the number of motorcycles is increasing, starting every year around 126,508,776 motorcycles are sold in Indonesia. In Indonesia, it is estimated that hundreds of motorbikes are stolen every month. How is the feasibility of motorcycle safety devices and the accuracy of the RFID module. Creating a motorcycle security system using a microcontroller-based RFID-RC522 module that can be read accurately and can be monitored in real time using received SMS and test the feasibility of a motorcycle safety device that can be monitored via cellphone. Making this tool using the Prototype method. The prototype is a development method from the previous system. The results of this research are in accordance with the analysis and design that has been made to get the result of an E-KTP-based motorcycle safety device to increase the security of personal items because this device can activate and deactivate motorcycles by using SMS. This tool can also help the community in maintaining security around the surrounding environment so that they can add a double security system to motorcycle vehicles.
Decision Tree-Based Weather Prediction Achmad Noeman; Dwipa Handayani; Abrar Hiswara
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 10 No 1 (2022): March 2022
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v10i1.4418

Abstract

Weather is formed from a group of weather elements and can be changed fast. For example, in the morning, afternoon, or evening, the weather can be different for each place and every hour. Weather is the condition of the air that occurs in a narrow place and lasts for a short time. Weather conditions in a place can be determined by many factors, such as air pressure, humidity, wind, sunlight, and so on. Therefore, by looking at these factors it can be estimated the weather that will occur the next day. Fishermen and farmers are fields of work that are closely related to weather forecasting, accurate and fast weather predictions are needed by these fields to carry out various activities. The amount of rainfall that occurs cannot be determined exactly but can be predicted or estimated. The application of determining weather information is needed, hence, the prediction can be utilized optimally by the community. The design of a system that will classify automatically can be developed by applying machine learning methods, one of them is used in this study, i.e., C.4.5 Algorithm using weather data that a reference in determining the weather conditions whether not rainy, rainy, light rain, or heavy rain.