i

LAPORAN SKRIPSI

SISTEM PENDUKUNG KEPUTUSAN SOLUSI

PENENTUAN TINGKAT RESIKO OBESITAS

BERBASIS EXPERT SYSTEM MENGGUNAKAN

METODE NAÏVE BAYES CLASSIFIER (NBC)

PANJI SINGGIH SETIAJI

2011-51-240

DOSEN PEMBIMBING

Rina Fiati, ST, M.Cs

Arief Susanto, ST M.Kom

PROGRAM STUDI TEKNIK INFORMATIKA

FAKULTAS TEKNIK

UNIVERSITAS MURIA KUDUS

2017

ii

HALAMAN PERSETUJUAN

iii

HALAMAN PENGESAHAN

iv

PERNYATAAN KEASLIAN

v

SISTEM PENDUKUNG KEPUTUSAN SOLUSI PENETUAN TINGKAT

RESIKO OBESITAS BERBASIS EXPERT SYSTEM MENGGUNAKAN

METODE NAÏVE BAYES CLASSIFIER (NBC)

Nama mahasiswa : Panji Singgih Setiaji

NIM : 201151240

Pembimbing :

1. Rina Fiati, ST. M,Cs

2. Arief Susanto, ST. M.Kom

RINGKASAN

Pembuatan sistem pendukung keputusan solusi penentu tingkat resiko

obesitas dengan metode Naïve Bayes Classifier, yang diharapkan dapat membantu

menemukan solusi resiko obesitas. Metode Naïve Bayes adalah suatu metode yang

digunakan untuk memprediksi berbasis probabilitas. Dalam menentukan solusi

obesitas dengan menggunakan nilai-nilai yang dimasukkan, berupa kriteria-

kriteria yang dibutuhkan yaitu berat badan, tinggi badan, usia, lingkar lengan,

asupan gizi, tekanan darah,dan lingkar perut. Sistem yang digunakan

menggunakan bahasa pemrogaman PHP dan menggunakan MySQL sebagai

databasenya. Aplikasi ini akan memberikan keterangan, sekaligus memberikan

solusi, meskipun hanya sebagai alat bantu dalam pengambilan keputusan.

Perancanagan sistem bertujuan untuk membantu dalam menentukan solusi apa

yang dapat mencegah obesitas. Dari hasil uji penentuan yang dilakukan dengan

menggunakan data.

Kata Kunci : PHP , MySQL , Naïve Bayes, SPK

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DECISION SUPPORT SYSTEM SOLUTIONS DETERMINING THE

LEVEL OF RISK OF OBESITY BY METHODS NAÏVE BAYES

CLASSIFIER (NBC)

Student Name : Panji Singgih Setiaji

Student Identity Number : 201151240

Supervisor :

1. Rina Fiati, ST. M,Cs

2. Arief Susanto, ST. M.Kom

ABSTRACT

Making the decision support system solutions determining the level of risk of

obesity by methods Naïve Bayes classifier, which is expected to help find a solution

to obesity risk. Naïve Bayes method is a method used to predict the probability-

based. In determining obesity solution using the values entered, the form of the

required criteria, namely body weight, height, waist circumference, pelvic

circumference and abdominal circumference. The system used to use the

programming language PHP and using MySQL as the database. This application

will provide information, while providing a solution, even if only as a tool in decision

making. The system design aims to assist in determining what solutions can prevent

obesity. Determination of test results performed using the data.

Keywords: PHP, MySQL, Naïve Bayes, SPK

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KATA PENGANTAR

Puji syukur kehadirat Allah SWT karena atas Rahmat dan Hidayah-Nya penulis

mampu menyelesaikan penyusunan skripsi ini dengan judul “Sistem Pendukung

Keputusan Solusi Penentu Tingkat Resiko Obesitas Berbasis Expert System Dengan

Metode Naïve Bayes Classifier”.

Skripsi ini disusun guna melengkapi salah satu persyaratan untuk

memperoleh Gelar Kesarjanaan Program Studi Teknik Informatika Fakultas Teknik

Universitas Muria Kudus. Pada kesempatan ini, penulis ingin menyampaikan rasa

terima kasih sebesar-besarnya kepada :

1. Allah SWT yang telah memberikan Rahmat dan Hidayah-Nya.

2. Bapak Dr. Suparnyo, SH, MS, selaku Rektor Universitas Muria Kudus.

3. Bapak Muhammad Dahlan, ST, MT, selaku Dekan Fakultas Teknik Universitas

Muria Kudus.

4. Bapak Ahmad Jazuli, M.Kom, selaku Ketua Program Studi Teknik Informatika

Universitas Muria Kudus.

5. Ibu Rina Fiati, S.Kom, M.Cs, selaku pembimbing I yang telah banyak

memberikan masukan selama penyusunan skripsi ini.

6. Bapak Arief Susanto ST, M.Kom, selaku pembimbing II yang telah banyak

memberikan masukan selama penyusunan skripsi ini.

7. Ibu Kumrotun, Bapak Sugiarto, yang senantiasa memberikan dukungan,

semangat, doa dan materi yang sangat berarti.

8. Teman-teman TI Angkatan 2011 yang sudah memberikan masukan dan nasehat

untuk menyelesaikan skripsi ini, serta semua pihak yang telah membantu

penyusunan skripsi ini yang tidak bisa penulis sebutkan satu persatu.

Penulis menyadari sepenuhnya bahwa dalam penyusunan skripsi ini masih

terdapat banyak kekurangan.Selain itu penulis juga berharap bahwa karya tulis ini

dapat memberikan manfaat bagi semua orang.

Kudus, 22 Februari 2017

Penulis

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DAFTAR ISI

HALAMAN PERSETUJUAN................................................................................... ii

HALAMAN PENGESAHAN .................................................................................... ii

PERNYATAAN KEASLIAN ................................................................................... iv

RINGKASAN ............................................................................................................. v

ABSTRACT ................................................................................................................ vi

KATA PENGANTAR .............................................................................................. vii

DAFTAR ISI ............................................................................................................ viii

DAFTAR GAMBAR ................................................................................................. xi

DAFTAR TABEL.................................................................................................... xiii

DAFTAR LAMPIRAN ........................................................................................... xiv

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

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

1.2 Rumusan Masalah ................................................................................ 2

1.3 Batasan Masalah ................................................................................... 2

1.4 Tujuan Penelitian .................................................................................. 3

1.5 Manfaat Penelitian ................................................................................ 3

BAB II TINJAUAN PUSTAKA ................................................................................ 5

2.1 Penelitian Terkait .................................................................................. 5

2.2 Landasan Teori ..................................................................................... 6

2.2.1 Pengertian Sistem Pendukung Keputusan ................................ 6

2.2.2 Tujuan Sistem Pendukung Keputusan ...................................... 6

2.2.3 Fase Pengambilan Keputusan ................................................... 7

2.2.4 Arsitektur Sistem Pendukung Keputusan ................................. 8

2.2.5 Karateristik Sistem Pendukung Keputusan .............................. 9

2.2.6 Metode Naïve Bayes Classifier (NBC) ................................... 10

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2.2.7 Database Sistem Pendukung Keputusan ................................. 13

2.2.8 Analisa Sistem ........................................................................ 13

2.2.9 Perancangan Sistem ................................................................ 13

BAB III METODE PENELITIAN ......................................................................... 23

3.1 Metode Pengumpulan Data ................................................................ 23

3.2 Metodologi Pengembangan Sistem Pendukung Keputusan ............... 23

3.3 Metode Naïve Bayes Classifier .......................................................... 24

BAB IV HASIL DAN PEMBAHASAN.................................................................. 27

4.1 Deskripsi Masalah .............................................................................. 27

4.2 Tujuan Sistem Pendukung Keputusan ................................................ 27

4.3 Pengguna Sistem Pendukung Keputusan ........................................... 27

4.4 Variabel-variabel Keputusan / Kriteria-kriteria .................................. 27

4.5 Diagram / Arsitektur Sistem Pendukung Keputusan .......................... 27

4.6 Obesitas Tubuh ................................................................................... 29

4.7 Perhitungan Metode Naïve Bayes Classifier (NBC) ........................... 29

4.8 Tabel Sampel data Tabel Aturan ........................................................ 30

4.9 Tabel Hasil .......................................................................................... 34

4.10 Desain ................................................................................................. 34

4.10.1 Pemodelan Data ...................................................................... 34

4.10.2 Pemodelan Proses ................................................................... 39

4.10.3 Desain Antarmuka .................................................................. 50

4.11 IMPLEMENTASI SISTEM ............................................................... 61

4.11.1 Analisa Kebutuhan Sistem ...................................................... 61

4.12 Implementasi Aplikasi Sistem ............................................................ 62

4.12.1 Halaman Utama ...................................................................... 62

4.12.2 Halaman Pendaftaran .............................................................. 63

4.12.3 Halaman Login ....................................................................... 63

4.12.4 Halaman Input Kriteria ........................................................... 64

4.12.5 Halaman Input Sub Kriteria .................................................... 64

4.12.6 Halaman Input Solusi ............................................................. 65

4.12.7 Halaman Input Administrator ................................................. 65

4.12.8 Halaman Hasil Pengujian ....................................................... 66

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4.12.9 Halaman Edit Profil ................................................................ 66

4.12.10 Halaman Ganti Password ................................................... 67

4.12.11 Halaman Uji SPK ................................................................ 67

4.12.12 Halaman Pengujian Anda ................................................... 68

4.13 Implementasi Kode ............................................................................. 68

4.13.1 Script Uji SPK ........................................................................ 68

4.13.2 Script Input Kriteria ................................................................ 69

4.13.3 Script Perhitungan SPK .......................................................... 69

4.14 Pengujian Blackbox Testing ............................................................... 70

4.14.1 Pengujian Proses Login .......................................................... 70

4.14.2 Pengujian Proses Data Edit Kriteria ....................................... 70

4.14.3 Pengujian Proses Data Uji SPK .............................................. 71

BAB V PENUTUP .................................................................................................... 73

5.1 Kesimpulan ......................................................................................... 73

5.2 Saran ................................................................................................... 73

DAFTAR PUSTAKA ............................................................................................... 75

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DAFTAR GAMBAR

Gambar 2.1 Proses Pengambilan Keputusan (Turban, 2005) [6]................................. 8

Gambar 2.2 Arsitektur Decision Support System (Turban, 2005) ............................... 9

Gambar 2.3 Kerangka Pemikiran Sistem Pendukung Keputusan solusi penentu

tingkat resiko obesitas ................................................................................................ 21

Gambar 4.1 Diagram Arsitektur Sistem Pendukung Keputusan Penentuan Tingkat

Obesitas Menggunakan Metode Naïve Bayes Classifier (NBC) ................................ 28

Gambar 4.2 Entity Relational Diagram Sistem Pendukung Keputusan Penentuan

Tingkat Obesitas......................................................................................................... 35

Gambar 4.3 Relasi antar Tabel Sistem Pendukung Keputusan Obesitas ................... 39

Gambar 4.4 Bagan Alir (Flowchart) Yang Sedang Berjalan ..................................... 40

Gambar 4.5 Bagan Alir (Flowchart) Sistem Yang Diusulkan ................................... 41

Gambar 4.6 Context Diagram .................................................................................... 42

Gambar 4.7 Analysis Report-Rule Check Context Diagram ...................................... 43

Gambar 4.8 Analysis Report-Level Balance Context Diagram ................................. 43

Gambar 4.9 Dekompisisi Sistem Pendukung Keputusan Penentuan obesitas ........... 44

Gambar 4.10 DFD Level 0 ......................................................................................... 45

Gambar 4.11 Analysis Report-Rule Check DFD Level 0 ........................................... 46

Gambar 4.12 Analysis Report-Level Balance DFD Level 0 ...................................... 47

Gambar 4.13 DFD Level 1 login................................................................................ 47

Gambar 4.14 Analysis Report-Rule Check DFD Level 1 Login ............................... 47

Gambar 4.15 Analysis Report-Level Balance DFD Level 1 login ............................ 48

Gambar 4.16 DFD Level 1 Pendataan ....................................................................... 48

Gambar 4.17 Analysis Report-Rule Check DFD Level 1 Pendataan ......................... 49

Gambar 4.18 Analysis Report-Level Balance DFD Level 1 Pendataan .................... 49

Gambar 4.19 DFD Level 1 Logout ............................................................................. 49

Gambar 4.20 Analysis Report-Rule Check DFD Level 1 Logout ............................. 50

Gambar 4.21 Analysis Report-Level Balance DFD Level 1 Logout ......................... 50

Gambar 4.22 Layout Halaman ................................................................................... 50

Gambar 4.23 Struktur Menu Admin .......................................................................... 51

Gambar 4.24 Struktur Menu Pengguna ...................................................................... 51

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Gambar 4.25 Form Input Data Kriteria ...................................................................... 52

Gambar 4.26 Form Input Data Sub Kriteria............................................................... 53

Gambar 4.27 Form Input Data Solusi ........................................................................ 53

Gambar 4.28 Form Input Data Admin ....................................................................... 54

Gambar 4.29 From Login ........................................................................................... 55

Gambar 4.30 Form Pendaftaran User ........................................................................ 55

Gambar 4.31 Form Edit Profil ................................................................................... 56

Gambar 4.32 Form Ganti Password ........................................................................... 57

Gambar 4.33 Daftar Kriteria ...................................................................................... 57

Gambar 4.34 Daftar Sub Kriteria ............................................................................... 58

Gambar 4.35 Daftar Tabel Rumus ............................................................................. 58

Gambar 4.36 Daftar Solusi ......................................................................................... 59

Gambar 4.37 Daftar Administrator ............................................................................ 59

Gambar 4.38 Daftar Pengguna ................................................................................... 60

Gambar 4.39 Hasil Pengujian .................................................................................... 60

Gambar 4.40 Halaman Utama .................................................................................... 62

Gambar 4.41 Halaman Pendaftaran ........................................................................... 63

Gambar 4.42 Halaman Login ..................................................................................... 63

Gambar 4.43 Halaman Input Kriteria......................................................................... 64

Gambar 4.44 Halaman Input Sub Kriteria ................................................................. 64

Gambar 4.45 Halaman Input Solusi ........................................................................... 65

Gambar 4.46 Halaman Input Administrator............................................................... 65

Gambar 4.47 Halaman Hasil Pengujian ..................................................................... 66

Gambar 4.48 Halaman Edit Profil .............................................................................. 66

Gambar 4.49 Halaman Ganti Password ..................................................................... 67

Gambar 4.50 Halaman Uji SPK ................................................................................. 67

Gambar 4.51 Halaman Pengujian Anda ..................................................................... 68

Gambar 4.52 Script Uji SPK ...................................................................................... 68

Gambar 4.53 Script Input Kriteria ............................................................................. 69

Gambar 4.54 Script Perhitungan SPK ........................................................................ 69

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DAFTAR TABEL

Tabel 2.1 Simbol Program Flowchart ........................................................................ 14

Tabel 2.2 Simbol System Flowchart .......................................................................... 15

Tabel 4.1 Tabel Sampel Data Aturan ......................................................................... 30

Tabel 4.2 Tabel Hasil ................................................................................................. 34

Tabel 4.3 Tabel Pengguna .......................................................................................... 36

Tabel 4.4 Tabel Admin .............................................................................................. 36

Tabel 4.5 Tabel Kriteria ............................................................................................. 37

Tabel 4.6 Tabel Sub Kriteria ...................................................................................... 37

Tabel 4.7 Tabel Aturan .............................................................................................. 38

Tabel 4.8 Tabel Solusi................................................................................................ 38

Tabel 4.9 Tabel Pengujiuan Proses Login .................................................................. 70

Tabel 4.10 Tabel Pengujian Proses Data Edit Kriteria .............................................. 70

Tabel 4.11 Tabel Pengujian Proses Data Hitung SPK ............................................... 71

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DAFTAR LAMPIRAN

Lampiran 1 Surat Penelitian

Lampiran 2 Artikel Ilmiah

Lampiran 3 Poster

Lampiran 4 Lembar Konsultasi Skripsi

Lampiran 5 Biodata Penulis