Rancang Bangun Sistem Tracking Human Motion secara Real Time berbasis Integrasi Deteksi Sensor Gerak pada Node Terdistribusi

Resamuel, Joshua (2019) Rancang Bangun Sistem Tracking Human Motion secara Real Time berbasis Integrasi Deteksi Sensor Gerak pada Node Terdistribusi. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Internet of Things (IoT) adalah suatu bentuk keterikatan antar komputer, mesin mekanik dan digital, objek, hewan atau manusia yang dilengkapi dengan identitas dan kemampuan untuk transfer data melalui jaringan, tanpa interaksi antar manusia maupun interaksi antara manusia dengan komputer. IoT berkembang pesat seiring terjadinya konvergensi sejumlah teknologi, analisis real-time, machine learning, sensor komoditas, dan sistem tertanam. Tracking sebagai salah satu pendekatan IoT berbicara tentang bagaimana menentukan posisi atau keberadaan suatu objek bergerak melalui sinyal yang dideteksi sistem. Tracking sangat mendukung aktivitas seperti mencari arah tujuan, melacak, memantau, atau mengawasi seseorang, dsb. Perkembangan teknologi mikrokontroler, transmisi dan metode dalam memproses informasi mendukung penulis dalam merancang sebuah prototip sistem untuk melakukan tracking human motion secara nyata, menggunakan perhitungan dari sensor Ultrasonik sebagai sensor gerak terdistribusi. Sistem tersusun atas tiga modul utama, yaitu modul sensor (slave), modul master, dan host. Modul sensor mengukur jarak pada objek yang melintasinya. Modul master melakukan sinkronisasi komunikasi, menerima informasi dari setiap modul sensor. Hasil perhitungan yang diterima oleh master selanjutnya diproses dan diproyeksikan oleh host ke dalam sebuah sistem grid. Tujuannya adalah untuk menampilkan posisi dan pergerakan manusia sebagai objek ke dalam suatu pemetaan secara real time. Ruang sistem berukuran Image, tersusun atas enam buah titik koordinat. Pada sisi depan diberi identitas ‘A’, ‘B’, dan ‘C’. Pada sisi belakang diberi identitas ‘D’, ‘E’, dan ‘F’. Setiap titik difasilitasi dengan sensor Ultrasonik. Dua buah sensor miring diposisikan untuk mengukur titik koordinat ‘B’ dan ‘E’. Kedua sensor lainnya menjadi sensor pojok (lurus) untuk masing-masing mengukur dua titik koordinat. Berdasarkan hasil ujicoba, Sensor B sebagai sensor miring melakukan ujicoba pengambilan posisi paling akurat dengan tingkat akurasi mencapai 99,22%. Sistem melakukan tracking terbaik secara keseluruhan saat melakukan tracking pada titik koordinat D, dengan akurasi mencapai 99,22%. Sensor A melakukan pengukuran tracking dengan tingkat akurasi terbaik secara keseluruhan, dengan akurasi mencapai 98,70%.
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Internet of Things (IoT) is a form of attachment between computers, mechanical and digital machines, objects, animals or humans equipped with the identity and ability to transfer data through networks, without interaction between humans and interactions between humans and computers. IoT is growing rapidly along with the convergence of several technologies, real-time analysis, machine learning, commodity sensors, and embedded systems. Tracking as one of the IoT approaches talks about how to determine the position or presence of a moving object through a signal detected by the system. Tracking is very supportive of activities such as finding directions, tracking, monitoring, or surveillance purposes, etc. The development of microcontroller, transmission and method in processing information supports the author in designing a prototype system for real human motion tracking, using calculations from Ultrasonic sensors as distributed motion sensors. The system is composed of three main modules, namely the sensor module (slave), the master module, and the host. The sensor module measures the distance to the object passing through it. The master module synchronizes communication, receives information from each sensor module. The calculation results received by the master are then processed and projected by the host into a grid system. The goal is to display the position and movement of humans as objects into a mapping in real time. System space measuring Image, is composed of six coordinate points. On the front side are given identities ‘A’, ‘B’, and ‘C’. On the back side are given the identities ‘D’, ‘E’, and ‘F ’. Each point is facilitated by Ultrasonic sensors. Two tilt sensors are positioned to measure the coordinates 'B' and 'E'. The other two sensors are corner sensors (straight) for each measuring two coordinate points. Based on the results of the trial, Sensor B as a tilt sensor tests the most accurate position taking with an accuracy of 99.22%. The system performs the best overall tracking when tracking at D coordinate point, with accuracy reaching 99.22%. Sensor A performs tracking measurements with the best level of accuracy overall, with accuracy reaching 98.70%.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Tracking, Distributed Sensor Network, Arduino, nRF24L01, Ultrasonik, Python, Titik Koordinat, Sistem Grid, Posisi
Subjects:	Q Science > QA Mathematics > QA76.6 Computer programming. Q Science > QA Mathematics > QA76.9.I52 Information visualization Q Science > QA Mathematics > QA76.9.U83 Graphical user interfaces. User interfaces (Computer systems)--Design. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6564 Radio transmitter-receivers T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7882.P3 Pattern recognition systems
Divisions:	Faculty of Information and Communication Technology > Informatics > 55201-(S1) Undergraduate Thesis
Depositing User:	Resamuel Joshua
Date Deposited:	23 Jul 2026 08:34
Last Modified:	23 Jul 2026 08:34
URI:	http://repository.its.ac.id/id/eprint/68840

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