Sistem Deteksi Bencana Banjir Menggunakan Algoritma Naïve Bayes dan

Modul Komunikasi NRF24L01 Berbasis IOT

Tugas Akhir

Diajukan Untuk Memenuhi

Persyaratan Guna Meraih Gelar Sarjana Strata I

Informatika Universitas Muhammadiyah Malang

Rizky Rahmad Andre Anang

( 201510370311179 )

Jaringan

PROGRAM STUDI INFORMATIKA

FAKULTAS TEKNIK

UNIVERSITAS MUHAMMADIYAH MALANG

2020

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KATA PENGANTAR

Segala puji bagi Allah SWT, yang telah memberi Rahmat serta Karunianya, sehingga

penulis dapat menyelesaikan skripsi yang berjudul:

“Sistem Deteksi Bencana Banjir Menggunakan Algoritma Naïve Bayes dan

Modul Komunikasi NRF24L01 Berbasis IOT”

Skripsi ini merupakan salah satu syarat studi yang harus ditempuh oleh seluruh

mahasiswa Universitas Muhammadiyah Malang, guna menyelesaikan akhir studi pada jenjang

program Strata 1.

Peneliti menyadari masih banyak kekurangan dan keterbatasan dalam penulisan tugas

akhir ini. Untuk itu, penulis sangat mengharapkan saran yang membangun agar tulisan ini dapat

berguna untuk perkembangan ilmu pengetahuan kedepan.

Malang, 7 Agustus 2020

Penulis

Rizky Rahmad Andre Anang

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DAFTAR ISI ABSTRAK…………………………………………………………………………………...iv

ABSTRACT…………………………………………………………………………………..v

BAB I PENDAHULUAN……………………………………………………………………...1

1.1 Latar Belakang ................................................................................................................. 1

1.2 Rumusan Masalah ............................................................................................................ 3

1.3 Tujuan Penelitian ............................................................................................................. 4

1.4 Batasan Masalah .............................................................................................................. 4

1.5 Sistematika Penulisan ...................................................................................................... 4

BAB II TINJAUAN PUSTAKA………………………………………………………………6

2.1 Penelitian Sebelumnya ..................................................................................................... 6

2.2 Sistem Deteksi Banjir ...................................................................................................... 6

2.3 Algoritma Naïve Bayes .................................................................................................... 7

2.4 Internet of Things ............................................................................................................. 8

2.5 Modul Komunikasi NRF24L01 ....................................................................................... 9

2.6 Arduinno Uno ................................................................................................................ 10

2.7 Sensor Ultrasonik ........................................................................................................... 10

2.8 Sensor Water flow .......................................................................................................... 11

2.9 Arduino IDE................................................................................................................... 12

2.10 Python .......................................................................................................................... 12

2.11 Sublime Text ................................................................................................................ 12

2.12 Xampp .......................................................................................................................... 13

2.13 MYSQL........................................................................................................................ 13

2.14 CodeIgniter .................................................................................................................. 13

2.15 Pengujian Sensor Ultrasonik ........................................................................................ 13

2.16 Packet loss ................................................................................................................... 14

2.17 Delay ............................................................................................................................ 14

2.18 Pengujian Accuracy, Recall, dan Precision ................................................................. 14

BAB III METODE PENELITIAN…………………………………………………………...16

3.1 Metodologi Penelitian .................................................................................................... 16

3.2 Identifikasi Masalah ...................................................................................................... 17

3.3 Analisis Sistem............................................................................................................... 17

3.4 Persiapan Data ............................................................................................................... 17

3.5 Perancangan Sistem Deteksi Banjir ............................................................................... 18

3.5.1 Perangkat keras ....................................................................................................... 18

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3.5.2 Perangakat Lunak.................................................................................................... 18

3.5.3 Arsitektur Sistem .................................................................................................... 19

3.5.4 Perancangan Perangkat Keras ................................................................................. 20

3.5.5 Perancangan Proses Pendeteksi Banjir .................................................................. 21

3.5.6 Algoritma Naïve Bayes untuk Klarifikasi Sistem Deteksi Banjir .......................... 25

3.6 Perancangan atau skenario pengujian ............................................................................ 28

3.6.1 Pengujian sistem ..................................................................................................... 28

3.6.2 Pengujian Sensor Ultrasonik ................................................................................... 28

3.6.3 Pengujian QoS( Quality of System )....................................................................... 28

3.6.4 Pengujian Accuracy, Recall, dan Precision ............................................................ 29

3.6.5 Perancangan Prototipe ........................................................................................... 29

3.6.6 Tampilan Antar Muka Web .................................................................................... 30

BAB IV HASIL DAN PEMBAHASAN……………………………………………………..31

4.1. Implementasi ................................................................................................................. 31

4.1.1 Sensor Node ............................................................................................................ 31

4.1.2 Sink Node................................................................................................................ 33

4.1.3 Server ...................................................................................................................... 35

4.1.4 Implementasi Algoritma Naïve Bayes .................................................................... 36

4.1.5 Antar Muka Web Untuk Monitoring Data .............................................................. 37

4.2 Pengujian........................................................................................................................ 38

4.2.1 Pengujian Sensor ultrasonik .................................................................................... 38

4.2.2 Pengujian Quality of Service ( QoS ) ...................................................................... 40

4.2.2.1 Pengujian Packet Loss ..................................................................................... 40

4.2.2.2 Pengujian Delay ............................................................................................... 41

4.2.3 Pengujian Algoritma Naïve Bayes .......................................................................... 42

BAB V PENUTUP….………………………………………………………………………..44

5.1 Kesimpulan .................................................................................................................... 44

5.2 Saran .............................................................................................................................. 44

DAFTAR PUSTAKA………………………………………………………………………...45

LAMPIRAN………………………………………………………………………………….48

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DAFTAR GAMBAR

Gambar 2.1 Sistem Pendeteksi Banjir Berbasis Sensor Ultrasonik Dan Mikrokontroler Dengan

Media Komunikasi Sms Gate Way [17] ............................................................................ 7

Gambar 2.2 Sistem Peringatan Dini Banjir Secara Real-Time Berbasis Web Menggunakan

Arduino dan Ethernet [15] ................................................................................................. 9

Gambar 2.3 Bentuk Fisik NRF24L01 ........................................................................................ 9

Gambar 2.4 Bentuk Fisik Arduino Uno ................................................................................... 10

Gambar 2.5 Bentuk Fisik Sensor Ultrasonik ........................................................................... 10

Gambar 2.6 Pemantulan Gelombang Ultrasonik ..................................................................... 11

Gambar 2.7 Bentuk Fisik Sensor Water Flow ......................................................................... 11

Gambar 3.1 Tahapan Metode Penelitian .................................................................................. 16

Gambar 3.2 Arsitektur Sistem Deteksi Banjir Menggnakan Algoritma Naïve Bayes dan Modul

Komunikasi NRF24L01 Berbasis IOT ............................................................................ 19

Gambar 3.3 Rangkain semua komponen mikrokontroller ....................................................... 20

Gambar 3.4 Penempatan Komponen Perangkat Keras Sistem Deteksi Banjir ........................ 21

Gambar 3.5 Proses pengambilan data dan pengiriman data pada sensor node ....................... 22

Gambar 3.7 Proses Server Mengolah Data pada Sistem Deteksi Banjir ................................. 24

Gambar 3.8 Alur Sistem Deteksi Bencana Banjir dengan Menggunakan Algoritma Naïve

Bayes ................................................................................................................................ 25

Gambar 3.9 Tahap Learning Algoritma Naïve Bayes ............................................................. 26

Gambar 3.10 Tahap Testing Algoritma Naïve Bayes .............................................................. 27

Gambar 3.11 Pengujian sensor Ultrasonik............................................................................... 28

Gambar 3.12 Perancangan Prototipe Sistem Deteksi Banjir ................................................... 29

Gambar 3.13 User Interface Web Sistem Deteksi banjir ......................................................... 30

Gambar 4.1 Perangkat Sensor Node ........................................................................................ 31

Gambar 4.2 Kode Program insiliasi port dan pin address pada sensor Ultrasonik, Sensor Water

Flow dan Modul Komunikasi NRF24L01 Transmitter ................................................... 32

Gambar 4.3 Kode Program Monitoring Data pada Sensor Node digunakan Sensor Ultrasonik

dan Sensor Water flow ..................................................................................................... 32

Gambar 4.4 Perangkat Arduino dan Modul Komunikasi NRF24L01 pada Sink Node ........... 33

Gambar 4.5 Kode Program library dan Inisialisasi port, pin dan alamat pada Modul

Komunikasi NRF24L01 Receiver.................................................................................... 34

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Gambar 4.6 Kode Program Sink Node Menerima Pangambilan Data Ketingian air dan Debit

Air Sensor Node ............................................................................................................... 34

Gambar 4.7 Perangakat Sink Node menerima data dari sensor Node Berupa data Tinggi Muka

Air dan Debit Air ............................................................................................................. 35

Gambar 4.8 Kode Program Menghubungkan Sink Node ke Database .................................... 35

Gambar 4.9 Data yang di Terima Sink Node dimasukan ke Database .................................... 36

Gambar 4.10 Database Sistem Deteksi Banjir ......................................................................... 36

Gambar 4.11 Tahap Modeling Dataset dari Jasa Tirta ............................................................ 37

Gambar 4.12 File Pickle Modeling Algoritma Naïve Bayes Untuk Pembantu Keputusan

Terjadinya Banjir di Sungai ............................................................................................ 37

Gambar 4.13 Tampilan Antar Muka Aplikasi Web Sistem Deteksi Banjir Menggunakan

Algoritma Naïve Bayes .................................................................................................... 38

Gambar 4.14 Grafik pengujian Sensor Ultrasonik ................................................................... 39

Gambar 4.15 Pengujian QoS Packet Loss ............................................................................... 40

Gambar 4.16 Pengujian QoS Delay ......................................................................................... 42

Gambar 4.17 hasil pengujian Algoritma Naïve Bayes ............................................................. 42

DAFTAR TABEL

Tabel 4.1 Tabel Pengujian Sensor Ultrasonik .......................................................................... 39

Tabel 4.2 Pengujian QoS Packet Loss pada NRF24L01 ......................................................... 40

Tabel 4.3 Pengujian QoS Delay pada NRF24L01 ................................................................... 41

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