Page 116 - E-Skripsi Analisis Sentimen Terhadap Aplikasi Sapawarga Jabar Super Apps Pada Ulasan Google Play Store
P. 116

Engineering,                           AIDE                           2022.

                            https://doi.org/10.1109/AIDE57180.2022.10060044
                        Vapnik,  V.  N.  (1999).  An  Overview  of  Statistical  Learning  Theory.  In  IEEE

                            Transactions     on     Neural    Networks     (Vol.    10,    Issue    5).

                            https://doi.org/10.1109/72.788640
                        Vashishtha, S., & Susan, S. (2022). Neuro-fuzzy Network Incorporating Multiple

                            Lexicons for Social Sentiment Analysis. Soft Computing, 26(9), 4487–4507.
                            https://doi.org/10.1007/s00500-021-06528-0

                        Vista,  C.  B.,  Sihono,  O.  M.,  &  Firdausi,  A.  T.  (2023).  Analisis  Sentimen

                            Kebijakan  Pembelajaran  Tatap  Muka  Selama  Pandemi  Covid-19
                            Menggunakan  Metode  Support  Vector  Machine.  Jurnal  Informatika

                            Polinema, 9(3). https://doi.org/10.33795/jip.v9i3.1273
                        Wahid,  D.  H.,  &  SN,  A.  (2016).  Peringkasan  Sentimen  Esktraktif  di  Twitter

                            Menggunakan  Hybrid  TF-IDF  dan  Cosine  Similarity.  IJCCS  (Indonesian
                            Journal     of    Computing      and     Cybernetics    Systems),    10(2).

                            https://doi.org/10.22146/ijccs.16625

                        Wankhade,  M.,  Rao,  A.  C.  S.,  &  Kulkarni,  C. (2022).  A  Survey  on  Sentiment
                            Analysis  Methods,  Applications,  and  Challenges.  Artificial  Intelligence

                            Review, 55(7), 5731–5780. https://doi.org/10.1007/s10462-022-10144-1
                        Weichbroth, P. (2020). Usability of mobile applications: A systematic literature

                            study. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2020.2981892

                        Wenando, F. A., Hayami, R., & Anggrawan, A. J. (2020). Analisis Sentimen Pada
                            Pemerintahan Terpilih Pada Pilpres 2019 Ditwitter Menggunakan Algoritme

                            Naïvebayes. JURTEKSI (Jurnal Teknologi Dan Sistem Informasi), 7(1), 101–
                            106. https://doi.org/10.33330/jurteksi.v7i1.851

                        West  Java  Festival.  (2023).  About  Us  West  Java  Festival  (WJF).  West  Java

                            Festival. https://westjavafest.com/about-us/
                        Widyawan, Reizky Damayanti, N., Bharata Adji, T., & Dharma Putra, G. (2019).

                            Comparison  of  Feature  Weighting  in  SVM  Performance  for  Sentiment
                            Analysis  of  Jakarta  BRT.  Journal  of  Physics:  Conference  Series,  1196(1).

                            https://doi.org/10.1088/1742-6596/1196/1/012066





                                                              102
   111   112   113   114   115   116   117   118   119   120   121