Analisis Sentimen Terkait Konflik Palestina-Israel Pada Media Sosial X Menggunakan Algoritma Naïve Bayes Classifier


  • Silvia Damayanti Simamora Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta, Indonesia
  • Faldy Irwiensyah * Mail Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta, Indonesia
  • Firman Noor Hasan Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta, Indonesia
  • (*) Corresponding Author
Keywords: Sentiment Analysis; Social Media X; Naïve Bayes Classifier; Palestine; Israel

Abstract

The conflict between Palestine and Israel has been ongoing for approximately 76 years, during which the Zionist movement has attempted to establish a Jewish homeland in Palestinian territory. In October 2023, news about this conflict resurfaced and has continued up until June 2024. This issue has drawn global attention, including from the Indonesian public. On the social media platform X, numerous comments and posts both negative and positive regarding the Palestine-Israel conflict have appeared as a result of the ongoing challenges faced by Palestine. This study aims to analyze the sentiment expressed on the social media platform X regarding the Palestine-Israel conflict. The data collected focuses solely on comments and posts from Indonesia, totaling 1,715 entries. The study employs the Naïve Bayes Classifier algorithm, with an 80% to 20% ratio of training data to test data, following a pre-processing phase. The results of this study indicate an accuracy of 94%, precision of 91%, recall of 100%, and an F1-Score of 95%. The analysis reveals a positive sentiment, suggesting that the Indonesian public's response on the social media platform X predominantly shows positive support towards Palestine

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References

Aswir F Badjodah, Mahmud Husen, and Saiful Ahmad, “Dinamika Konflik Dan Upaya Konsensus Palestina-Israel (Studi Kasus Perjanjian Perdamaian Oslo (Oslo Agreement ) Tahun 1993),” J. Cakrawala Ilm., vol. 1, no. 3, pp. 409–420, 2021, doi: 10.53625/jcijurnalcakrawalaindonesia.v1i3.619.

R. Solihin, H. Juni, R. Saragih, B. Setiawan, and P. Widodo, “Indonesia’s Role In tThe Israel-Palestine Conflict Through Multi-Track Diplomacy,” Perspektif, vol. 12, no. 3, pp. 1002–1013, 2023, doi: 10.31289/perspektif.v12i3.9490.

K. Mudif, Yerusalem: Tanah Yang Dijanjikan. Yogyakarta: Anak Hebat Indonesia, 2022.

W. Islamiati and S. Rijal, “Memahami Konflik Palestina-Israel Dalam Bingkai Berita Nu Online,” J. Stud. Jurnalistik, vol. 4, no. 2, pp. 1–18, 2022, doi: 10.15408/jsj.v4i2.28963.

F. Firdaus, J. Septian Putra, R. Saaulia, and S. Adnis, “Yasser Arafat dan Konflik Palestina-Israel (Tinjauan Sejarah),” Khazanah J. Sej. dan Kebud. Islam, vol. 10, no. 1, pp. 1–12, 2020, doi: 10.15548/khazanah.v10i1.265.

D. Erawati and M. Thalal, “The Movement Of Sheikh Ahmad Yasin And The Mission Of Palestinian Liberation,” Indones. J. Islam. Hist. Cult., vol. 4, no. 2, pp. 1–20, 2023, doi: 10.22373/ijihc.v4i2.3732.

P. A. Permatasari, L. Linawati, and L. Jasa, “Survei Tentang Analisis Sentimen Pada Media Sosial,” Maj. Ilm. Teknol. Elektro, vol. 20, no. 2, p. 177, 2021, doi: 10.24843/mite.2021.v20i02.p01.

F. M. Carina, A. Salma, D. Permana, and Z. Martha, “Sentiment Analysis of X Application Users on the Conflict Between Israel and Palestine Using Support Vector Machine Algorithm,” vol. 2, pp. 204–212, 2024.

T. Krisdiyanto, “Analisis Sentimen Opini Masyarakat Indonesia Terhadap Kebijakan Ppkm pada Media Sosial Twitter Menggunakan Naïve Bayes Clasifiers,” J. CoreIT J. Has. Penelit. Ilmu Komput. dan Teknol. Inf., vol. 7, no. 1, p. 32, 2021, doi: 10.24014/coreit.v7i1.12945.

Rina Noviana and Isram Rasal, “Penerapan Algoritma Naive Bayes Dan Svm Untuk Analisis Sentimen Boy Band Bts Pada Media Sosial Twitter,” J. Tek. dan Sci., vol. 2, no. 2, pp. 51–60, 2023, doi: 10.56127/jts.v2i2.791.

A. T. Susilawati, “Analisis Sentimen Publik Pada Twitter Terhadap Boikot Produk Israel Menggunakan Metode Naïve Bayes,” vol. 2, no. 1, 2024, doi: https://doi.org/10.59603/niantanasikka.v2i1.240.

M. Yasir, Marissa Grace Haque, Robertus Suraji, and Istianingsih, “Analisis Sentimen Terhadap Kontroversi Fatwa Mui Nomor 83 Tahun 2023 Tentang Pemboikotan Produk yang Terafiliasi Israel,” J. Ekon. Manaj. Sist. Inf., vol. 5, no. 4, pp. 409–422, 2024, doi: 10.31933/jemsi.v5i4.1845.

R. Azhar and M. F. Wijayanto, “Analisis Sentimen Di Twitter: Mengungkap Persepsi Dan Emosi Publik Seputar Konflik Palestina-Israel,” Stain. (Seminar Nas. …, vol. 3, pp. 118–124, 2024, doi: 10.29407/stains.v3i1.4132.

H. Irsyad and A. Taqwiym, “Sentimen Analisis Masyarakat Terhadap Rakyat Palestina dengan Klasifikasi Naive Bayes,” J. Sist. Telekomun. Elektron. Sist. Kontrol Power Sist. Komput., vol. 1, no. 2, pp. 167–176, 2021, doi: https://doi.org/10.32503/jtecs.v1i2.1623.

K. Israel et al., “Konflik Israel dan Palestina ‘Analisis Manajemen Konflik Yang Mempengaruhi Mental Health Anak-Anak Palestina,’” vol. 2, no. 2, pp. 1–10, 2023, doi: 10.6578/triwikrama.v2i2.853.

H. Dhery, A. Assyam, and F. N. Hasan, “Analisis Sentimen Twitter Terhadap Perpindahan Ibu Kota Negara Ke IKN Nusantara Menggunakan Orange Data Mining,” KLIK Kaji. Ilm. Inform. dan Komput., vol. 4, no. 1, pp. 341–349, 2023, doi: 10.30865/klik.v4i1.957.

N. Q. Rizkina and F. N. Hasan, “Analisis Sentimen Komentar Netizen Terhadap Pembubaran Konser Nct 127 Menggunakan Metode Naive Bayes,” J. Inf. Syst. Res., vol. 4, no. 4, pp. 1136–1144, 2023, doi: 10.47065/josh.v4i4.3803.

S. H. Ramadhani and M. I. Wahyudin, “Analisis Sentimen Terhadap Vaksinasi Astra Zeneca pada Twitter Menggunakan Metode Naïve Bayes dan K-NN,” J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 6, no. 4, pp. 526–534, 2022, doi: 10.35870/jtik.v6i4.530.

M. Hidayatullah et al., “Sentiment Analysis of Police Performance On Twitter Users Using Naïve Bayes Method,” RISTEC Res. Inf. Syst. Technol., vol. 2, no. 2, pp. 29–40, 2021, doi: 10.31980/ristec.v2i2.1945.

A. Hakim, Laukmanul; Saefuddin, Introduction To Machine Learning Using R Konsep, Teori, Dan Praktik. Bogor: IPB Press, 2020

Z. Jollyta, Denny; Ramdhan, William; Muhammad, Konsep Data Mining dan Penerapan. Pekanbaru: DEEPUBLISH, 2020

B. Anwar, M. Syahril, and R. Kustini, “Implementasi Hybrid Metode Teorema Bayes dan Certainty Factor Dalam Mendiagnosa Penyakit Motile Aeromonas Septicaemia,” Semin. Nas. Teknol. Infromasi Komun., vol. 1, no. 1, pp. 520–532, 2021.

G. Zeng, “On the confusion matrix in credit scoring and its analytical properties,” Commun. Stat. - Theory Methods, vol. 49, no. 9, pp. 2080–2093, 2020, doi: 10.1080/03610926.2019.1568485.

A. Sela, Enny Itje; A., M.S. Hendryawan; Diwandari, Saucha; Wibowo, Adityo Permana; Avianto, Donny; Sanjaya, Muhammad Fachrie Fadil Indra; Pramudwiatmoko, Aplikasi Machine Learning Pada Ilmu Sosial Dan Medis. Yogyakarta: DEEPUBLISH, 2023

Merinda Lestandy, Abdurrahim Abdurrahim, and Lailis Syafa’ah, “Analisis Sentimen Tweet Vaksin COVID-19 Menggunakan Recurrent Neural Network dan Naïve Bayes,” J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 5, no. 4, pp. 802–808, 2021, doi: 10.29207/resti.v5i4.3308.

A. T. Mukti and F. N. Hasan, “Analisis Sentimen Warganet Terhadap Keberadaan Juru Parkir Liar Menggunakan Metode Naive Bayes Classifier,” J. Media Inform. Budidarma , vol. 8, no. 1, pp. 644–653, 2024, doi: 10.30865/mib.v8i1.6982.

F. P. Nursyamsyi and F. N. Hasan, “Klik: Kajian Ilmiah Informatika dan Komputer Klasifikasi Sentimen Terhadap Aplikasi Identitas Kependudukan Digital Menggunakan Algoritma Naïve Bayes dan SVM,” Media Online, vol. 4, no. 3, pp. 1788–1798, 2023, doi: 10.30865/klik.v4i3.1517.

R. Yunita and M. Kamayani, “Perbandingan Algoritma SVM Dan Naïve Bayes Pada Analisis Sentimen Penghapusan Kewajiban Skripsi,” Indones. J. Comput. Sci., vol. 12, no. 5, pp. 2879–2890, 2023, doi: 10.33022/ijcs.v12i5.3415.

N. F. Hasan and H. Wonda, “Sentiment Analysis of Public Opinion Regarding Papuan Local Languages Condition Using Data Science Approach,” J. Teknol. Inf. dan Komun., vol. 13, no. 2, pp. 125–139, 2022, [Online]. Available: https://doi.org/10.31849/digitalzone.v13i2.11545.


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Article History
Submitted: 2024-06-14
Published: 2024-06-26
Abstract View: 1055 times
PDF Download: 718 times
How to Cite
Simamora, S., Irwiensyah, F., & Hasan, F. N. (2024). Analisis Sentimen Terkait Konflik Palestina-Israel Pada Media Sosial X Menggunakan Algoritma Naïve Bayes Classifier. Building of Informatics, Technology and Science (BITS), 6(1), 146−157. https://doi.org/10.47065/bits.v6i1.5344
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