ANALISIS SENTIMEN PUBLIK TERHADAP KEBIJAKAN EKSPOR SEDIMEN LAUT INDONESIA MELALUI PLATFORM X.COM
Abstract
Indonesia's marine sediment export policy has become a controversial topic among the public, especially in relation to environmental and socio-economic impacts. This research aims to analyze public sentiment towards Indonesia's marine sediment export policy via the X.com platform (formerly Twitter) using Natural Language Processing (NLP) techniques. Data was taken during the period September to October 2024 using the scraping method using the Twitter API. The dataset consisting of 72 tweets was processed through a data preprocessing step to remove irrelevant elements. Sentiment is analyzed using the BERT (Bidirectional Encoder Representations from Transformers) model, which allows deep detection of sentiment context. The analysis results show that 67% of tweets contain negative sentiment, 25% are neutral, and 8% are positive. This finding shows that the public is worried about the impact of marine sediment export policies.
Downloads
References
Anam, K., Kolopaking, L. M., & Kinseng, R. A. (2020). Efektivitas sosial media dalam gerakan sosial penolakan reklamasi teluk jakarta, indonesia. Sodality: Jurnal Sosiologi Pedesaan, 8(01), 64–81.
Anggariani, D., Sahar, S., & Sayful, M. (2020). Tambang pasir dan dampak sosial ekonomi masyarakat di pesisir pantai. SIGn Journal of Social Science, 1(1), 15–29.
Anvar Shathik, J., & Krishna Prasad, K. (2020). A Literature Review On Application Of Sentiment Analysis Using Machine Learning Techniques. Int J Appl Eng Manag Lett (IJAEML), 4(2), 41–67.
Apuke, O. D., & Tunca, E. A. (2018). Social Media And Crisis Management: A Review And Analysis Of Existing Studies. LAÜ Sosyal Bilimler Dergisi, 9(2), 199–215.
Barawi, M. H., & Seng, Y. Y. (2013). Evaluation Of Resource Creations Accuracy By Using Sentiment Analysis. Procedia-Social and Behavioral Sciences, 97, 522–527.
Bhardwaj, A., Bharany, S., & Kim, S. (2024). Fake Social Media News And Distorted Campaign Detection Framework Using Sentiment Analysis & Machine Learning. Heliyon, 10(16).
Dahuri, R. (2003). Paradigma Baru Pembangunan Indonesia Berbasis Kelautan.
Datta, M. G. (2023). Pollution In Marine Ecosystem: Impact And Prevention. In Current status of marine water microbiology (pp. 169–191). Springer.
Dewi, G. S. (2019). Penolakan Masyarakat Terhadap Reklamasi Teluk Benoa Provinsi Bali. Diponegoro Private Law Review, 4(1).
Dewi, R. (2017). Studi Kasus Penolakan Publik Atas Kebijakan Publik. Publikauma: Jurnal Administrasi Publik Universitas Medan Area, 5(1), 6–12.
Haddi, E., Liu, X., & Shi, Y. (2013). The Role Of Text Pre-Processing In Sentiment Analysis. Procedia Computer Science, 17, 26–32.
Henríquez, P. A., & Alessandri, F. (2024). Analyzing Digital Societal Interactions and Sentiment Classification in Twitter (X) during critical events in Chile. Heliyon.
Listiyono, Y., Prakoso, L. Y., & Sianturi, D. (2019). Membangun Kekuatan Laut Indonesia Dipandang Dari Pengawal Laut Dan Detterence Effect Indonesia. Jurnal Strategi Pertahanan Laut.
Liu, B. (2010). Sentiment Analysis And Subjectivity. Handbook of Natural Language Processing, 2(2010), 627–666.
Liu, B. (2020). Sentiment Analysis: Mining Opinions, Sentiments, And Emotions. Cambridge university press.
Mahmud, T., Karim, R., Chakma, R., Chowdhury, T., Hossain, M. S., & Andersson, K. (2024). A Benchmark Dataset For Cricket Sentiment Analysis In Bangla Social Media Text. Procedia Computer Science, 238, 377–384.
Maurya, C. G., Gore, S., & Rajput, D. S. (2018). A Use Of Social Media For Opinion Mining: An Overview (With The Use Of Hybrid Textual And Visual Sentiment Ontology). Proceedings of International Conference on Recent Advancement on Computer and Communication: ICRAC 2017, 315–324.
Maurya, C. G., & Jha, S. K. (2024). Sentiment Analysis: A Hybrid Approach on Twitter Data. Procedia Computer Science, 235, 990–999.
Nugroho, D. G., Chrisnanto, Y. H., & Wahana, A. (2016). Analisis Sentimen Pada Jasa Ojek Online Menggunakan Metode Naive Bayes. Prosiding Sains Nasional Dan Teknologi, 1(1).
Palomino, M. A., & Aider, F. (2022). Evaluating The Effectiveness Of Text Pre-Processing In Sentiment Analysis. Applied Sciences, 12(17), 8765.
Panagiotopoulos, P., Barnett, J., Bigdeli, A. Z., & Sams, S. (2016). Social Media In Emergency Management: Twitter As A Tool For Communicating Risks To The Public. Technological Forecasting and Social Change, 111, 86–96.
Pang, B., & Lee, L. (2008). Opinion Mining And Sentiment Analysis. Foundations and Trends® in Information Retrieval, 2(1–2), 1–135.
Peraturan Pemerintah Republik Indonesia Nomor 26 Tahun 2023 Tentang Pengelolaan Hasil Sedimen Di Laut, 30 (2023). https://peraturan.bpk.go.id/Home/Details/249417/pp-no-26-tahun-2023#:~:text=Peraturan Pemerintah (PP) NO.,go.id%3A 21 hlm.&text=ABSTRAK%3A,pengelolaan hasil sedimentasi di laut.
Prasetyo, S. D., Hilabi, S. S., & Nurapriani, F. (2023). Analisis Sentimen Relokasi Ibukota Nusantara Menggunakan Algoritma Naïve Bayes dan KNN. Jurnal KomtekInfo, 1–7.
Přichystal, J. (2016). Mobile Application For Customers’ Reviews Opinion Mining. Procedia-Social and Behavioral Sciences, 220, 373–381.
Rodríguez-Ibánez, M., Casánez-Ventura, A., Castejón-Mateos, F., & Cuenca-Jiménez, P.-M. (2023). A Review On Sentiment Analysis From Social Media Platforms. Expert Systems with Applications, 223, 119862.
Sasmita, A. I., Bramasta, B., & Widiana, F. (2021). Diplomasi Maritim Indonesia dalam Kasus Illegal Fishing oleh Nelayan Vietnam Tahun 2018-2019. Jurnal Hubungan Internasional, 14(1), 81.
Sebastiani, F., & Esuli, A. (2006). Sentiwordnet: A Publicly Available Lexical Resource For Opinion Mining. Proceedings of the 5th International Conference on Language Resources and Evaluation, 417–422.
Shalihati, S. F. (2014). Pemanfaatan Penginderaan Jauh Dan Sistem Informasi Geografi Dalam Pembangunan Sektor Kelautan Serta Pengembangan Sistem Pertahanan Negara Maritim. Geo Edukasi, 3(2).
Snelgrove, P. V. R. (1997). The Importance Of Marine Sediment Biodiversity In Ecosystem Processes. Ambio, 578–583.
Thrush, S. F., & Dayton, P. K. (2002). Disturbance To Marine Benthic Habitats By Trawling And Dredging: Implications For Marine Biodiversity. Annual Review of Ecology and Systematics, 33(1), 449–473.
Yansen, H. D., Putri, L. Y., & Ramadhana, W. (2023). Analisis Kebijakan Ekspor Sedimentasi Laut (Pasir Laut) Terhadap Peraturan Pemerintah Nomor 26 Tahun 2023 Tentang Pengelolaan Hasil Sedimentasi Laut. Lex Sharia Pacta Sunt Servanda: Jurnal Hukum Islam Dan Kebijakan, 1(1), 14–21.
Copyright (c) 2024 hendra poltak, Handayan Handayani, Ismail Ismail, Tirsa Ninia Lina, Muhamad Ali Ulat, Muhfizar Muhfizar, octavianus kristian karubaba
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.