Sentiment Analysis of Society Towards the Child-free Phenomenon (Life Without Children) on Twitter Using Naïve Bayes Algorithm
DOI:
https://doi.org/10.32736/sisfokom.v13i1.1944Keywords:
Childfree, Naïve Bayes, Analisis Sentimen, Twitter,Abstract
The difference in societal perspective regarding personal well-being and understanding life choices is genuinely diverse. Lately, there is a prevalent thought where individuals believe that personal well-being can be achieved by choosing to live without children. Most of them prefer to prioritize their careers, education, or other activities that they believe can bring greater happiness and well-being to their lives. This topic has become a frequently discussed subject in almost every region of Indonesia, especially in urban areas. Not only facing negative stigma, the choice to live a life without children in Indonesia also carries positive connotations. Views on child-free in Indonesia are highly diverse, considering the many differences in social environments and each individual’s personal experiences. In this research, the Naïve Bayes algorithm is used as a sentiment classifier in the form of textual data collected through Twitter using the Rapid Miner. The data collection period spanned from May 3rd to May 10th, 2023. The research aims to analyze and present data regarding public sentiment towards the child-free phenomenon in Indonesia. The results of this research reveal the presence of 320 positive sentiments and 180 negative sentiments, with the accuracy value of the Naïve Bayes algorithm in conducting sentiment analysis on the child-free phenomenon reached 95.00%.References
E. Nakkerud, “Ideological Dilemmas Actualised by the Idea of Living Environmentally Childfree,” Hum. Arenas, no. 0123456789, 2021, doi: 10.1007/s42087-021-00255-6.
D. Siregar, F. Ladayya, N. Z. Albaqi, and B. M. Wardana, “Penerapan Metode Support Vector Machines ( SVM ) dan Metode Naïve Bayes Classifier ( NBC ) dalam Analisis Sentimen Publik terhadap Konsep Child-free di Media Sosial Twitter,” vol. 7, no. 1, pp. 93–104, 2023.
A. Shabrina, P. Prasmono, M. D. Kartikasari, A. Shabrina, P. Prasmono, and M. D. Kartikasari, “The Childfree Phenomenon in Indonesia : An Analysis of Sentiments on YouTube Video Comments The Childfree Phenomenon in Indonesia : An Analysis of Sentiments on YouTube Video Comments,” vol. 6, no. 1, pp. 29–38, 2024.
E. Supriatna, “Being a Childfree Man in Indonesia: Facing Challenges and Social Stigma in Choosing the Freedom Without Children,” Tec Empres., pp. 254–265, 2023.
Alfandi Safira and F. N. Hasan, “Analisis Sentimen Masyarakat Terhadap Paylater Menggunakan Metode Naive Bayes Classifier,” Zo. J. Sist. Inf., vol. 5, no. 1, pp. 59–70, 2023, doi: 10.31849/zn.v5i1.12856.
P. W. Ratiasasadara, S. Sudarno, and T. Tarno, “Analisis Sentimen Penerapan Ppkm Pada Twitter Menggunakan Naive Bayes Classifier Dengan Seleksi Fitur Chi-Square,” J. Gaussian, vol. 11, no. 4, pp. 580–590, 2023, doi: 10.14710/j.gauss.11.4.580-590.
G. A. A.Jabbar Alkubaisi, S. S. Kamaruddin, and H. Husni, “Stock Market Classification Model Using Sentiment Analysis on Twitter Based on Hybrid Naive Bayes Classifiers,” Comput. Inf. Sci., vol. 11, no. 1, p. 52, 2018, doi: 10.5539/cis.v11n1p52.
F. N. Hasan, F. Sidik, and P. Afikah, “Sentiment Analysis of Community Response on Cooking Oil Price Increase Policy with Naïve Bayes Classifier Algorithm,” J. Linguist. Komputasional, vol. 5, no. 2, pp. 71–76, 2022, [Online]. Available: https://inacl.id/journal/index.php/jlk/article/view/99.
M. Fahmi, A. Puspita, and Y. Yuningsih, “Sentiment Analysis of Online Gojek Transportation Services on Twitter Using the Naïve Bayes Method,” JITK (Jurnal Ilmu Pengetah. dan Teknol. Komputer), vol. 8, no. 2, pp. 84–90, 2023, doi: 10.33480/jitk.v8i2.4004.
H. H. Mubaroroh, H. Yasin, and A. Rusgiyono, “Analisis Sentimen Data Ulasan Aplikasi Ruangguru Pada Situs Google Play Menggunakan Algoritma Naïve Bayes Classifier Dengan Normalisasi Kata Levenshtein Distance,” J. Gaussian, vol. 11, no. 2, pp. 248–257, 2022, doi: 10.14710/j.gauss.v11i2.35472.
D. Darwis, N. Siskawati, and Z. Abidin, “Penerapan Algoritma Naive Bayes Untuk Analisis Sentimen Review Data Twitter Bmkg Nasional,” J. Tekno Kompak, vol. 15, no. 1, p. 131, 2021, doi: 10.33365/jtk.v15i1.744.
F. N. Hasan, A. S. Aziz, and Y. Nofendri, “Utilization of Data Mining on MSMEs using FP-Growth Algorithm for Menu Recommendations,” Matrik J. Manajemen, Tek. Inform. dan Rekayasa Komput., vol. 22, no. 2, pp. 261–270, 2023, doi: 10.30812/matrik.v22i2.2166.
R. Novendri, A. S. Callista, D. N. Pratama, and C. E. Puspita, “Sentiment Analysis of YouTube Movie Trailer Comments Using Naïve Bayes,” Bull. Comput. Sci. Electr. Eng., vol. 1, no. 1, pp. 26–32, 2020, doi: 10.25008/bcsee.v1i1.5.
R. Sari and R. Y. Hayuningtyas, “Penerapan Algoritma Naive Bayes Untuk Analisis Sentimen Pada Wisata TMII Berbasis Website,” Indones. J. Softw. Eng., vol. 5, no. 2, pp. 51–60, 2019, doi: 10.31294/ijse.v5i2.6957.
V. R. Prasetyo, H. Lazuardi, A. A. Mulyono, and C. Lauw, “Penerapan Aplikasi RapidMiner Untuk Prediksi Nilai Tukar Rupiah Terhadap US Dollar Dengan Metode Linear Regression,” J. Nas. Teknol. dan Sist. Inf., vol. 7, no. 1, pp. 8–17, 2021, doi: 10.25077/teknosi.v7i1.2021.8-17.
F. Sidik, I. Suhada, A. H. Anwar, and F. N. Hasan, “Analisis Sentimen Terhadap Pembelajaran Daring Dengan Algoritma Naive Bayes Classifier,” J. Linguist. Komputasional, vol. 5, no. 1, p. 34, 2022, doi: 10.26418/jlk.v5i1.79.
F. Ratnawati, “Implementasi Algoritma Naive Bayes Terhadap Analisis Sentimen Opini Film Pada Twitter,” INOVTEK Polbeng - Seri Inform., vol. 3, no. 1, p. 50, 2018, doi: 10.35314/isi.v3i1.335.
N. S. Wardani, A. Prahutama, and P. Kartikasari, “Analisis Sentimen Pemindahan Ibu Kota Negara Dengan Klasifikasi Naïve Bayes Untuk Model Bernoulli Dan Multinomial,” J. Gaussian, vol. 9, no. 3, pp. 237–246, 2020, doi: 10.14710/j.gauss.v9i3.27963.
A. A. Farisi, Y. Sibaroni, and S. Al Faraby, “Sentiment analysis on hotel reviews using Multinomial Naïve Bayes classifier,” J. Phys. Conf. Ser., vol. 1192, no. 1, 2019, doi: 10.1088/1742-6596/1192/1/012024.
J. LING, I. P. E. N. KENCANA, and T. B. OKA, “Analisis Sentimen Menggunakan Metode Naïve Bayes Classifier Dengan Seleksi Fitur Chi Square,” E-Jurnal Mat., vol. 3, no. 3, p. 92, 2014, doi: 10.24843/mtk.2014.v03.i03.p070.
L. Dey, S. Chakraborty, A. Biswas, B. Bose, and S. Tiwari, “Sentiment Analysis of Review Datasets Using Naïve Bayes‘ and K-NN Classifier,” Int. J. Inf. Eng. Electron. Bus., vol. 8, no. 4, pp. 54–62, 2016, doi: 10.5815/ijieeb.2016.04.07.
M. A. Ramadhan and M. I. Wahyudin, “Analisis Sentimen Mengenai Keberhasilan Indonesia di Ajang Thomas Cup 2020 (Studi Kasus Media Sosial Twitter) Menggunakan Metode Naïve Bayes dan Decision Tree,” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 6, no. 4, pp. 505–511, 2022, doi: 10.35870/jtik.v6i4.560.
M. Yasir and R. Suraji, “Perbandingan Metode Klasifikasi Naive Bayes, Decision, Tree, Random Forest Terhadap Analisis Sentimen Kenaikan Biaya Haji 2023 pada Media Sosial Youtube,” J. Cahaya Mandalika, vol. 3, no. 2, pp. 180–192, 2023.
A. Wibowo, Firman Noor Hasan, Rika Nurhayati, and Arief Wibowo, “Analisis Sentimen Opini Masyarakat Terhadap Keefektifan Pembelajaran Daring Selama Pandemi COVID-19 Menggunakan Naïve Bayes Classifier,” J. Asiimetrik J. Ilm. Rekayasa Inov., vol. 4, pp. 239–248, 2022, doi: 10.35814/asiimetrik.v4i1.3577.
I. R. Afandi, F. H. Noor, A. A. Rizki, N. Pratiwi, and Z. Halim, “Analisis Sentimen Opini Masyarakat Terkait Pelayanan Jasa Ekspedisi Anteraja Dengan Metode Naive Bayes,” Jlk, vol. 5, no. 2, pp. 63–70, 2022, [Online]. Available: https://t.co/2HAdwg1drL.
I. O. Muraina, “Ideal Dataset Splitting Ratios in Machine Learning Algorithms :,” no. February, 2022.
Duwi Cahya Putri Buani, “Optimasi Algoritma Naïve Bayes dengan Menggunakan Algoritma Genetika untuk Prediksi Kesuburan (Fertility),” J. Evolusi, vol. 4, no. 01, pp. 55–64, 2016, doi: 10.31294/evolusi.v4i1.3397.
N. Nuraeni, “Penentuan Kelayakan Kredit Dengan Algoritma Naïve Bayes Classifier: Studi Kasus Bank Mayapada Mitra Usaha Cabang PGC,” J. Tek. Komput., vol. 3, no. 1, pp. 9–15, 2017, [Online]. Available: https://ejournal.bsi.ac.id/ejurnal/index.php/jtk/article/view/1337.
Y. I. Kurniawan and T. I. Barokah, “Klasifikasi Penentuan Pengajuan Kartu Kredit Menggunakan K-Nearest Neighbor,” J. Ilm. Matrik, vol. 22, no. 1, pp. 73–82, 2020, doi: 10.33557/jurnalmatrik.v22i1.843.
N. Herlinawati, Y. Yuliani, S. Faizah, W. Gata, and S. Samudi, “Analisis Sentimen Zoom Cloud Meetings di Play Store Menggunakan Naïve Bayes dan Support Vector Machine,” CESS (Journal Comput. Eng. Syst. Sci., vol. 5, no. 2, p. 293, 2020, doi: 10.24114/cess.v5i2.18186.
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