Development of location tracking system via short message service (SMS) based on GPS unblox neo-6m and sim 800l module

Kharisma, Oktaf Brillian; Dzikra, A. A.; Mustakim, Mustakim; Vebrianto, Rian; Novita, Rice; Hasbullah, Hasbullah; Irawati,; Novita, Yulia; Zaitun, .; Nazir, Alwis; Iskandar, Iwan; Vitriani, Yelfi; Rehayati, Rina; Andriani, Tuti

doi:10.1088/1742-6596/1363/1/012002

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…The NEO-6M module is a compact and reliable receiver module designed for Arduino and other microcontroller platforms. It provides accurate positioning data, including latitude, longitude, altitude, and time information (Kharisma et al, 2019;Kanani and Padole, 2020). With its low power consumption and fast time-to-first-fix, it is an ideal choice for livestock tracking systems and other location-based projects.…”

Section: Gps Modulementioning

confidence: 99%

IoT-based livestock tracking: Addressing challenges in Somali livestock farming

Abdullahi,

Jimale,

Ahmed

et al. 2024

Int. j. adv. appl. sci.

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Livestock plays a vital role in Somalia's economy, contributing more than 60% of the country's gross domestic product. However, livestock production in Somalia faces many challenges, including conflict, insecurity, climate change and environmental degradation. These challenges can lead to livestock losses, which can significantly affect the livelihoods of livestock owners. This paper proposes an Internet of Things (IoT)-based livestock tracking system to help farmers locate their lost livestock. The system uses GPS and GSM/GPRS technology to track the location of livestock in real-time. The system also includes a boundary restriction feature that can be used to ensure that livestock remains within a designated area. The IoT-based livestock tracking system has the potential to address a number of challenges facing livestock production in Somalia. The system can help reduce livestock losses, improve livestock management practices, and increase productivity. The system is currently being field-tested in Somalia. The system successfully detects livestock crossing the border and transmits the livestock's location in real-time. Field test results show successful real-time tracking of livestock. The test data will be used to improve the system and assess its effectiveness in helping farmers locate their lost livestock.

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Section: Gps Modulementioning

confidence: 99%

IoT-based livestock tracking: Addressing challenges in Somali livestock farming

Abdullahi,

Jimale,

Ahmed

et al. 2024

Int. j. adv. appl. sci.

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“…Gambar 13. Pendeteksi Polusi Kendaraan [19] Aplikasi Arduino pada kendaraan dapat berupa pendeteksi polusi kendaraan [19], pendeteksi putaran bearing [20] dan sistem pelacakan GPS [21]. Pada aplikasi pendeteksi polusi udara, digunakan sensor gas (MQ2) dalam pendeteksian asap dan karbon dioksida pada knalpot kendaraan.…”

Section: Mikrokontrolerunclassified

“…Gambar 15. Sistem Pelacakan GPS [21] NEO-6M Pada aplikasi sistem pelacakan GPS, digunakan modul sensor GPS (NEO-6M). Alat ini diuji berdasarkan pesan yang dikirim ke ponsel, pesan dengan alamat Google Maps saat GPS tidak menerima sinyal, pesan saat GPS menerima sinyal dan pesan saat alat pelacak direset melalui SMS [21]…”

Section: Menggunakan Sensorunclassified

Review Aplikasi Sensor Pada Sistem Monitoring Dan Kontrol Berbasis Mikrokontroler Arduino

Anantajaya¹,

Kumara²,

Divayana³

2022

SPEKTRUM

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Arduino microcontrollers have been widely used in research and society. The Arduino isequipped with one or more physical sensors to convert physical quantities into electrical signalsthat can be processed by the microcontroller. This paper reviews sensors, types of Arduino, andtheir application as a monitoring system. Data were obtained from platforms discussing onlineArduino projects, scientific articles, electronic/micro-electronic component manufacturer sites,and other reliable sources. The results show that the sensors that are commonly used includetemperature and humidity sensors DHT11, DHT22, Thermistor and LM35, limit switch touchsensors, proximity sensors HC-SR04, and Paralax PIR, gas sensors MQ2, MQ3, MQ5, MQ6,MQ7, MQ8, and MQ135 correspond to detected gases, ADXL345 and A3144 acceleration andmagnet sensors, TCS3200 and TCS 34752 color sensors, KY-026 and Robotdyn IR firesensors, KY-022 and KY-005 Infrared sensors, LDR and TSL2561 light sensors, voltage-currentsensors ACS712 and PZEM-004T, and heart rate sensors KY-039 and MAX30102. While themicrocontrollers that are often used include Arduino Uno, Arduino Nano, Arduino Mega, andother microcontrollers. Applications that have been developed include applications in the fieldsof health, agriculture and farm, creation of robots, security to vehicles.

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