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ANALISIS SENTIMEN DATA KRITIK DAN SARAN
PELATIHAN APLIKASI TEKNOLOGI INFORMASI
(PATI) MENGGUNAKAN ALGORITMA SUPPORT
VECTOR MACHINE
LAPORAN TUGAS AKHIR
Diajukan untuk Memenuhi
Persyaratan Guna Meraih Gelar Sarjana Strata 1
Teknik Informatika Universitas Muhammadiyah Malang
Disusun oleh :
ALIMUDDIN HASAN AL KABIR
201310370311179
JURUSAN TEKNIK INFORMATIKA
FAKULTAS TEKNIK
UNIVERSITAS MUHAMMADIYAH MALANG
KATA PENGANTAR
Assalamu’alaikum Wr. Wb.
Segala puji bagi Allah SWT, yang telah memberikan Rahmat dan
Karunianya, sehingga penulis dapat menyelesaikan skripsi yang berjudul:
“ANALISIS SENTIMEN DATA KRITIK DAN SARAN PELATIHAN
APLIKASI TEKNOLOGI INFORMASI (PATI) MENGGUNAKAN
ALGORITMA SUPPORT VECTOR MACHINE”
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, 4 Oktober 2017
Penulis
Alimuddin Hasan Al Kabir
DAFTAR ISI
LEMBAR PERSETUJUAN.................................................................................... ii
LEMBAR PENGESAHAN ................................................................................... iii
LEMBAR PERNYATAAN ................................................................................... iv
ABSTRAK .............................................................................................................. v
ABSTRACT ........................................................................................................... vi
LEMBAR PERSEMBAHAN ............................................................................... vii
KATA PENGANTAR ......................................................................................... viii
DAFTAR ISI .......................................................................................................... ix
DAFTAR GAMBAR ............................................................................................. xi
DAFTAR TABEL ................................................................................................. xii
BAB I PENDAHULUAN ....................................................................................... 1
1.1. Latar Belakang.......................................................................................... 1
1.2. Rumusan Masalah .................................................................................... 3
1.3. Batasan Masalah ....................................................................................... 3
1.4. Tujuan Penelitian ...................................................................................... 3
1.5. Metodologi ............................................................................................... 4
1.5.1. Studi Pustaka......................................................................................... 4
1.5.2. Analisis Kebutuhan ............................................................................... 4
1.5.3. Desain Sistem ....................................................................................... 4
1.5.4. Implementasi Sistem ............................................................................. 4
1.5.5. Pengujian dan Evaluasi ......................................................................... 4
1.5.6. Penyusunan Laporan ............................................................................. 4
1.6. Sistematika Penulisan ............................................................................... 4
BAB 2 LANDASAN TEORI ................................................................................. 6
2.1. Pengantar Data Mining ............................................................................. 6
2.2. Klasifikasi ................................................................................................. 7
2.3. Analisis Sentimen dan Opinion Mining ................................................... 7
2.4. Data Preprocessing ................................................................................... 9
2.5. Pembobotan TF-IDF ................................................................................. 9
2.6. Support Vector Machine......................................................................... 10
2.7. PHP-ML ................................................................................................. 11
2.8. Tinjauan Pustaka .................................................................................... 11
2.9. Metode Pengujian ................................................................................... 12
2.8.1. Accuracy ......................................................................................... 14
2.8.2. Precision .......................................................................................... 15
2.8.3. Recall............................................................................................... 15
BAB III ANALISIS DAN PERANCANGAN SISTEM ...................................... 16
3.1. Analisis Masalah .................................................................................... 16
3.2. Analisis Data .......................................................................................... 16
3.2.1. Data Penelitian ................................................................................ 16
3.2.2. Proses Analisis Data ........................................................................ 18
3.3. Analisis Sistem ....................................................................................... 18
3.3.1. Usecase Diagram ............................................................................. 18
3.3.2. Flowchart......................................................................................... 19
3.3.3. Data Preprocessing .......................................................................... 19
3.3.4. Pembobotan TF-IDF ....................................................................... 20
3.3.5. Pemodelan SVM ............................................................................. 21
BAB IV IMPLEMENTASI DAN PENGUJIAN .................................................. 24
4.1. Implementasi Sistem .............................................................................. 24
4.1.1. Kebutuhan Perangkat Keras dan Perangkat Lunak ......................... 24
4.1.2. Implementasi Fitur .......................................................................... 24
4.2. Pengujian Sistem .................................................................................... 29
4.3. Hasil Pengujian ....................................................................................... 36
BAB V KESIMPULAN DAN SARAN ................................................................ 38
5.1. Kesimpulan ............................................................................................. 38
5.2. Saran ....................................................................................................... 38
DAFTAR PUSTAKA ........................................................................................... 39
LAMPIRAN .......................................................................................................... 41
Lampiran 1. Hasil Pengujian Iterasi ke 1 ..................................................... 41
Lampiran 2. Hasil Pengujian Iterasi ke 2 ..................................................... 46
Lampiran 3. Hasil Pengujian Iterasi ke 3 ..................................................... 51
Lampiran 4. Hasil Pengujian Iterasi ke 4 ..................................................... 56
Lampiran 5. Hasil Pengujian Iterasi ke 5 ..................................................... 61
DAFTAR PUSTAKA
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