Analisis Sentimen Masyarakat Terhadap Kinerja Persatuan Sepakbola Seluruh Indonesia Menggunakan Metode Backpropagation

Authors

  • Ripki Puja Ika Putra Universitas Bina Darma
  • Muhamad Akbar Universitas Bina Darma
  • Rahayu Amalia Universitas Bina Darma

DOI:

10.51519/journalita.volume1.isssue2.year2020.page106-118

Keywords:

Social Media, Hastag, Backpropagation.

Abstract

Sentiment analysis in a sentence describes the part of the consideration of an entity or a event regarding the product, service, topic, issue, person, organization, or event that becomes the target object in sentiment sentences. Judging from several reasons for positive and negative sentiments originating from social media, researchers will use social media not only to communicate between friends, but will be used as a means to find out an aspiration for the community, especially the Indonesian community regarding legal issues or problems related to government. One of the aspirations that will be analyzed is the performance of PSSI. In analyzing this, researchers using the Backpropagation Method are learning methods to reduce error rates by adjusting their weight based on the desired output and target differences. Backpropagation is also a systematic method for multilayer training in Artificial Neural Networks. Backpopagation is said to be a multilayer training method because Backpropagation has three layers in the training process, namely input layer, hidden layer and output layer

References

Paramitha Cindy Rizal Putri, "Analisis Faktor Pengaruh Promosi BerbasisSosial Media Terhadap Keputusan Pembelian Pelanggan dalam BidangKuliner," 2011.

Koentjaraningrat, Pengantar ilmu antropologi. Jakarta, Indonesia: Rineka Cipta, 2009.

Pang Bo and Lee Lillian, "Opinion Mining And Sentiment Analysis," Foundations and Trends in Information Retrieval, vol. 2, no. 1-2, 2008.

T Sutojo and Edi Mulyanto, Kecerdasan buatan. Yogyakarta, 2011.

Supardi, Metodologi Penelitian Ekonomi & Bisnis. Yogyakarta, Indonesia: UII Press, 2005.

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Published

2020-08-01

How to Cite

Putra, R. P. I., Akbar, M., & Amalia, R. (2020). Analisis Sentimen Masyarakat Terhadap Kinerja Persatuan Sepakbola Seluruh Indonesia Menggunakan Metode Backpropagation. Journal of Information Technology Ampera, 1(2), 106–118. https://doi.org/10.51519/journalita.volume1.isssue2.year2020.page106-118