Ghalbin Al Ghafiqi, - (2024) RANCANG BANGUN SISTEM KEAMANAN SEPEDA MOTOR MENGGUNAKAN METODE GEOFENCING DAN GPS TRACKING MELALUI TELEGRAM. S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Sepeda motor menjadi transportasi penting di Indonesia, terutama di perkotaan, karena mampu mengatasi kemacetan, terjangkau, dan hemat bahan bakar. Jumlah sepeda motor meningkat dari 106 juta unit pada 2018 menjadi 125 juta unit pada 2022, yang memicu peningkatan kasus pencurian sepeda motor, dengan 13.574 kasus terjadi sejak awal 2023 hingga 10 Agustus 2023. Pencurian terjadi karena sistem keamanan yang lemah dan kurangnya alat yang dapat memberikan peringatan ke smartphone, mematikan mesin otomatis, serta melacak lokasi sepeda motor. Penelitian ini bertujuan merancang alat pendeteksi pencurian sepeda motor menggunakan Geofencing dan GPS yang terhubung ke aplikasi Telegram dengan memanfaatkan IoT. Metode yang digunakan adalah model D&D (Design and Development) dengan tahapan analisis kebutuhan, perancangan sistem, pengembangan, pengujian, dan evaluasi. Pengujian sinyal internet melalui jaringan GPRS dengan modul GSM SIM800L menunjukkan sinyal baik di luar ruangan dengan tegangan dari power supply 12V. Fitur mode jaga diuji 18 kali dan mode normal 12 kali. Rata-rata selisih jarak antara koordinat modul GPS dan Google Maps pada mode normal 1,145705595 meter dan 10 kali bot Telegram berhasil merespon dan mesin sepeda motor berhasil dimatikan, serta 8 kali bot Telegram gagal merespon namun mesin sepeda motor berhasil dimatikan. Tingkat keberhasilan bot telegram merespon yaitu 55,56%. Pengujian sistem keamanan menunjukkan pendeteksi pencurian dan monitoring lokasi dapat bekerja dengan adanya delay waktu respon dalam pengiriman data. -------------- Motorcycles are an important means of transportation in Indonesia, especially in urban areas, because they can overcome traffic jams, are affordable, and fuel efficient. The number of motorcycles increased from 106 million units in 2018 to 125 million units in 2022, which has triggered an increase in motorcycle theft cases, with 13,574 cases occurring from early 2023 to August 10, 2023. Theft occurs due to weak security systems and the lack of tools that can provide warnings to smartphones, turn off automatic engines, and track the location of motorcycles. This study aims to design a motorcycle theft detection tool using Geofencing and GPS connected to the Telegram application by utilizing IoT. The method used is the D&D (Design and Development) model with stages of needs analysis, system design, development, testing, and evaluation. Testing the internet signal via the GPRS network with the GSM SIM800L module showed a good signal outdoors with a voltage from a 12V power supply. The guard mode feature was tested 18 times and normal mode 12 times. The average difference in distance between the GPS module coordinates and Google Maps in normal mode is 1.145705595 meters and 10 times the Telegram bot successfully responded and the motorcycle engine was successfully turned off, and 8 times the Telegram bot failed to respond but the motorcycle engine was successfully turned off. The success rate of the Telegram bot responding is 55.56%. Security system testing shows that theft detection and location monitoring can work with a delay in response time in sending data.
Item Type: | Thesis (S1) |
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Additional Information: | https://scholar.google.com/citations?hl=en&user=NiwOrG4AAAAJ ID SINTA Dosen Pembimbing: Wirmanto Suteddy: 6745736 Devi Aprianti Rimadhani Agustini: 6745751 |
Uncontrolled Keywords: | Sistem Keamanan, Geofencing, GPS Tracking,Telegram, IoT, Security System |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics |
Divisions: | UPI Kampus cibiru > S1 Teknik Komputer |
Depositing User: | Ghalbin Al Ghafiqi |
Date Deposited: | 23 Aug 2024 03:11 |
Last Modified: | 23 Aug 2024 03:11 |
URI: | http://repository.upi.edu/id/eprint/120133 |
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