vehicle theft
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Author(s):  
Yoni Aswan ◽  
Sarjon Defit ◽  
Gunadi Widi Nurcahyo

Crime is all kinds of actions and actions that are economically and psychologically harmful that violate the laws in force in the State of Indonesia as well as social and religious norms. Ordinary criminal acts affect the security of the community and threaten their inner and outer peace. The research location is the Mentawai Islands Police, which is an agency that can provide security and protection for the community, especially those in the Mentawai Islands Regency. The problem is that it is difficult for the Mentawai Islands Police to classify areas that are prone to crime in the most vulnerable, moderately vulnerable and not vulnerable categories. Especially considering the condition of the Mentawai, there are four large islands consisting of 10 sub-districts, where crime is increasing every year, especially those in the Mentawai Islands Regency area such as motor vehicle theft. Based on the background of the problem above, the researcher is interested in taking research in creating a system to predict the crime rate in the Mentawai Islands Regency in order to anticipate the surge in crime that will come. The method used is the K-Means Clustering Algorithm as a non-hierarchical data clustering method to partition existing data into one or more clusters or groups. This method partitions data into clusters so that data with the same characteristics are grouped into the same cluster and data with different characteristics are grouped into other clusters. Clustering is one of the data mining techniques used to get groups of objects that have common characteristics in large enough data. The data used is data on cases of criminal theft of motor vehicles for the last 5 years from 2016 to 2020. The results of the test show that South Sipora District is an area prone to the crime of motor vehicle theft.


Author(s):  
Juani Khuswara Maulidin ◽  
Abrar Hiswara ◽  
Rafika Sari

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.


Author(s):  
Yoni Aswan ◽  
Sarjon Defit ◽  
Gunadi Widi Nurcahyo

Crime is all kinds of actions and actions that are economically and psychologically harmful that violate the laws in force in the State of Indonesia as well as social and religious norms. Ordinary criminal acts affect the security of the community and threaten their inner and outer peace. The research location is the Mentawai Islands Police, which is an agency that can provide security and protection for the community, especially those in the Mentawai Islands Regency. The problem is that it is difficult for the Mentawai Islands Police to classify areas that are prone to crime in the most vulnerable, moderately vulnerable and not vulnerable categories. Especially considering the condition of the Mentawai, there are four large islands consisting of 10 sub-districts, where crime is increasing every year, especially those in the Mentawai Islands Regency area such as motor vehicle theft. Based on the background of the problem above, the researcher is interested in taking research in creating a system to predict the crime rate in the Mentawai Islands Regency in order to anticipate the surge in crime that will come. The method used is the K-Means Clustering Algorithm as a non-hierarchical data clustering method to partition existing data into one or more clusters or groups. This method partitions data into clusters so that data with the same characteristics are grouped into the same cluster and data with different characteristics are grouped into other clusters. Clustering is one of the data mining techniques used to get groups of objects that have common characteristics in large enough data. The data used is data on cases of criminal theft of motor vehicles for the last 5 years from 2016 to 2020. The results of the test show that South Sipora District is an area prone to the crime of motor vehicle theft.


Author(s):  
Suma K R

Over recent years production of the vehicle around the world has increased rapidly, vehicle theft has become a shared concern for all citizens. Security and safety have always become a necessity. However, present anti-theft systems lack the tracking and monitoring function. The Wi-Fi module enabled cost-effective solution has been made to protect the vehicles. This paper attempts to utilize two physically disjoint units in conjunction with each other, to provide a fool-proof mechanism against vehicle theft. A prototype has been made using Arduino and Wi-Fi module. Android smartphones are used to design for the user interface that allows access of the vehicle to an intended person only.


Author(s):  
K. Jeya Prakash ◽  
K. Pradeep Kumar Reddy ◽  
K. Sai Kumar Goud ◽  
S. Thejeswara Reddy
Keyword(s):  

2021 ◽  
Vol 23 (07) ◽  
pp. 420-425
Author(s):  
Tejashwini R ◽  
◽  
Dr. Subodh Kumar Panda ◽  

Vehicle security is one of the major concerns that the entire world is currently experiencing. People generally own automobiles, yet these automobiles are not always secure. Vehicle theft occurs in parking lots, public places, and other unsafe areas. The vehicle’s manufacturer does not consider the vehicle security system to be a factor in the overall cost of the vehicle. Nowadays, only a few vehicles come equipped with high-priced security systems. Door locking, alarm system, GSM, GPS, and other security features are built into high-end vehicles only. There is a necessity to build a low-cost security system for vehicles that common people can afford it and the manufacture can built-in the security system in a wide range of automobiles. This paper proposed a method for vehicle theft detection, tracking, and accident identification using the Internet of Things.


2021 ◽  
Vol 1964 (6) ◽  
pp. 062068
Author(s):  
Aryan Verma ◽  
Shikhar Seth ◽  
Abhit Kumar ◽  
V Sarada
Keyword(s):  

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