Page 10 - E-Skripsi Analisis Sentimen Terhadap Aplikasi Sapawarga Jabar Super Apps Pada Ulasan Google Play Store

2.11 Penelitian Sejenis ...........................................................................................36

BAB 3 METODOLOGI PENELITIAN .............................................................41

3.1 Prosedur Penelitian ........................................................................................41
3.2 Pengumpulan Data .........................................................................................43
3.2.1 Observasi ...........................................................................................43

3.2.2 Studi Literatur ...................................................................................43
3.2.3 Penambangan Data ............................................................................44

3.3 Analisis Data..................................................................................................45
3.3.1 Data Preprocessing ...........................................................................45

3.3.2 Pelabelan Data ...................................................................................50
3.3.3 Pemodelan Data .................................................................................52

3.3.4 Evaluasi Kinerja Model .....................................................................53
3.4 Analisis Hasil .................................................................................................53

3.4.1 Analisis Perbandingan Hasil .............................................................53
3.4.2 Interpretasi Hasil ...............................................................................54

BAB 4 HASIL DAN PEMBAHASAN ................................................................55
4.1 Gambaran Umum Aplikasi Sapawarga-Jabar Super Apps ............................55

4.2 Penambangan Data ........................................................................................57
4.3 Data Preprocessing .......................................................................................60

4.2.1 Cleansing ...........................................................................................60
4.2.2 Normalization ....................................................................................62
4.2.3 Stopword Removal .............................................................................65

4.2.4 Stemming ...........................................................................................67

4.2.5 Tokenization ......................................................................................68
4.4 Pelabelan Data ...............................................................................................71
4.5 Pemodelan Data .............................................................................................74

4.6 Evaluasi Kinerja Model .................................................................................76
4.7 Analisis Hasil .................................................................................................79

4.6.1 Analisis Perbandingan Hasil .............................................................79
4.6.2 Interpretasi Hasil Distribusi Sentimen ..............................................81

4.6.3 Interpretasi Hasil Sentimen Positif ....................................................82
4.6.4 Interpretasi Hasil Sentimen Negatif ..................................................87

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