Sertipikat Tanah VS Sertifikat Tanah: Analisis Data Penggunaan Istilah Produk Hukum di Media Sosial
DOI:
https://doi.org/10.59841/ignite.v2i3.1758Keywords:
big data, visualisasi, web scrapingAbstract
The land title (in Indonesian: sertipikat) is a legal product issued by the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency, while “sertifikat” (spelled with 'f' instead of 'p'), which is the standard term according to KBBI (Indonesian Dictionary). The number of social media users increases every year, resulting in a growing amount of data generated. Big data derived from social media can encompass public perception or societal behaviors. The significant benefits derived from social media analytics provide opportunities to explore and analyze data sources within social media. This study analyzes data from the social media platforms Twitter, Facebook, and Instagram to determine common terms used by the public regarding "sertipikat tanah" (land certificate) and "sertifikat tanah" (land certificate). These platforms were chosen because they provide open data. The use of uncommon terms among the public potentially hinders the government's intended objectives. The final results indicate that despite "sertipikat" being the official legal term, the public is more accustomed to using "sertifikat tanah." The comparison of usage between "sertipikat tanah" and "sertifikat tanah" on Facebook is 11% : 89%, on Instagram 38% : 62%, and on Twitter 70% : 30%, with the majority of "sertipikat tanah" usage on Twitter originating from government accounts.
References
APCICT. (2019). Mewujudkan Tata Kelola Berbasis Data (Data-Driven). Incheon - Republic of Korea: Asian and Pacific Training Centre for Information and Communication Technology for Development (APCICT). https://www.unapcict.org/resources/publications/academy-module-bahasa-indonesia-mewujudkan-tata-kelola-berbasis-data-data-driven
Azman. (2018). Penggunaan Media Massa dan Media Sosial di Kalangan Mahasiswa Komunikasi. Jurnal Peurawi, 1(1). https://doi.org/10.22373/jp.v1i1.2759
Chen, H., H.L.Chiang, R., & C. Storey, V. (2018). Business Intelligence and Analytics: From Big Data To Big Impact. Management Information System (MIS) Quarterly, 36(4), 1165–1188. https://doi.org/10.2307/41703503
Darman, R. (2023). Analisis Sentimen Respons Twitter terhadap Persyaratan Badan Penyelenggara Jaminan Sosial (BPJS) di Kantor Pertanahan. Widya Bhumi, 3(2), 113–136. https://doi.org/10.31292/wb.v3i2.61
Dehouche, N. (2020). Dataset on usage and engagement patterns for Facebook Live sellers in Thailand. Data in Brief, 30. https://doi.org/10.1016/j.dib.2020.105661
Fernando, E. H., Sagala, H., Budiman, A. E., Husada, I. N., & Toba, H. (2020). Ekstraksi dan Analisis Produk di Marketplace Secara Otomatis dengan Memanfaatkan Teknologi Web Crawling. Jurnal Teknik Informatika Dan Sistem Informasi, 5(3). https://doi.org/10.28932/jutisi.v5i3.1977
Feronica, Maria, L., & Wijayanti, S. H. (2017). Evaluasi Penggunaan Istilah Hukum Dalam Draf Akta Autentik Yang Dibuat Oleh Atau di Hadapan Notaris. Jurnal Paradigma Hukum Pembangunan, 2(3), 188–199. https://ejournal.atmajaya.ac.id/index.php/paradigma/article/view/1907
Hadiswara, S. D., Misbahuddin, & Iqbal, S. M. (2020). Sistem Informasi Profil Publikasi Ilmiah Universitas Mataram Berdasarkan Google Scholar dan Scopus. Universitas Mataram. https://perpustakaan.ft.unram.ac.id/index.php?p=fstream-pdf&fid=2214&bid=8901
Hale, T. (2017). How Much Data Does The World Generate Every Minute? IFLScience Limited. https://www.iflscience.com/technology/how-much-data-does-the-world-generate-every-minute/
Halik, A. (2013). Komunikasi Massa. Makassar: AU Press. http://repositori.uin-alauddin.ac.id/338/1/KOMUNIKASI MASSA full.pdf
Issabekova, A., Bakiner, A., Karaşah, B., Bogenç, Ç., Uysal, D., Sari, D., Yener, D., Yilmaz, E. A., Özdemir, F., Ataçay, M. N., Taş, M. R., Yildiz, M. A., Rahman, M. M., Olgun, R., Acar, S., Akran, S. K., & Güçlü, S. (2021). Multidisciplinary Perspectives in Educational and Social Sciences. Ankara-Turkey: Iksad Publishing House. https://iksadyayinevi.com/wp-content/uploads/2021/12/MULTIDISCIPLINARY-PERSPECTIVES-IN-EDUCATIONAL-AND-SOCIAL-SCIENCES.pdf
Josi, A., Abdillah, A. L., & Suryayusra. (2014). Penerapan Teknik Web Scraping Pada Mesin Pencari Artikel Ilmiah. ArXiv. https://arxiv.org/ftp/arxiv/papers/1410/1410.5777.pdf
Kabir, A. I., Karim, R., Newaz, S., & Hossain, M. I. (2018). The Power of Social Media Analytics: Text Analytics Based on Sentiment Analysis and Word Clouds on R. Informatica Economică, 22(1), 25–38. https://doi.org/10.12948/issn14531305/22.1.2018.03
Kartikasari, L., & Suyitno, I. (2020). Kesalahan Penggunaan Diksi Dalam Tuturan Mahasiswa Asing UM Saat Pembelajaran BIPA Tahun 2018. Basindo, 4(2), 189–203. https://doi.org/10.17977/um007v4i22020p189-203
Krismantari, I., Fitriansyah, R. N., & Sitor, S. A. (2020). Akademisi: Pemerintah Masih Gunakan Bahasa Langit Dalam Komunikasi COVID-19. The Conversation. https://theconversation.com/akademisi-pemerintah-masih-gunakan-bahasa-langit-dalam-komunikasi-covid-19-134805
Kurniadi, F. (2017). Language Error Analysis on Verified Twitter Timeline. Jurnal Arbitrer, 4(2), 58–64. https://doi.org/10.25077/ar.4.2.58-64.2017
Levinson-Waldman, R. (2018). Government Access to and Manipulation of Social Media: Legal and Policy Challenges. Howard Law Journal, 61(3), 523–562. https://www.brennancenter.org/our-work/research-reports/government-monitoring-social-media-legal-and-policy-challenges
Lotfi, C., Srinivasan, S., Ertz, M., & Latrous, I. (2021). Web Scraping Techniques and Applications: A Literature Review. In SCRS Conference Proceedings on Intelligent Systems (pp. 381–394). Soft Computing Research Society. https://doi.org/10.52458/978-93-91842-08-6-38
Nainggolan, V., Randonuwu, S. A., & Waleleng, G. J. (2018). Peranan Media Sosial Instagram dalam Interaksi Sosial Antar Mahasiswa Fakultas Ilmu Sosial dan Politik Unsrat Manado. Jurnal Acta Diurna, 7(4), 1–15. https://ejournal.unsrat.ac.id/index.php/actadiurnakomunikasi/article/view/22022
Negara, E. S., Andryani, R., & Saksono, P. H. (2016). Analisis Data Twitter: Ekstraksi dan Analisis Data Geospasial. INKOM: Jurnal Informatika, Sistem Kendali, Dan Komputer, 10(1), 27–36. https://doi.org/10.14203/j.inkom.433
Ningrum, I. S. E., Purnami, L. E., & Tika Lestari, A. (2021). Analisis Kesalahan Berbahasa Pada Unggahan Pamflet Media Sosial Instagram. Lingua Rima: Jurnal Pendidikan Bahasa Dan Sastra Indonesia, 10(1), 99–103. https://doi.org/10.31000/lgrm.v10i1.4095
Nurdin, Bustami, Hutomi, M., Elveny, M., & Syah, R. (2021). Implementation of the BFS Algorithm and Web Scraping Techniques for Online Shop Detection in Indonesia. Journal of Theoretical and Applied Information Technology, 99(12), 2878–2889. http://www.jatit.org/volumes/Vol99No12/8Vol99No12.pdf
Permatasari, P. A., Linawati, & Jasa, L. (2021). Survei Tentang Analisis Sentimen Pada Media Sosial. Majalah Ilmiah Teknologi Elektro, 20(2), 177–186. https://doi.org/10.24843/mite.2021.v20i02.p01
Purba, K. R., Asirvatham, D., & Murugesan, R. K. (2020). An analysis and prediction model of outsiders percentage as a new popularity metric on Instagram. ICT Express, 6, 243–248. https://doi.org/10.1016/j.icte.2020.07.001
Putra, I. P. (2022). Badan Bahasa Ungkap Alasan Sertifikat Tanah Tertulis “Sertipikat.” Medcom.Id. https://www.medcom.id/pendidikan/news-pendidikan/GNlW3V9K-badan-bahasa-ungkap-alasan-sertifikat-tanah-tertulis-sertipikat
Puventheran, S., Bakar, J. A., Katuk, N., & Sharipudin, M. N. S. (2021). Dashboard for Social Media Marketing Analysis Between B2B Company (Pepsi vs Coca-Cola). Proceeding of Innovative Research, Invention and Application Exhibition (I-RIA 2021), 2(3), 207–211. https://doi.org/10.30880/mari.2021.02.03.043
Rizandi, M., & Aprisari, S. (2022). Analisis Kesalahan Penggunaan Bahasa dalam Forum Jual Beli Bangka Belitung pada Media Sosial Facebook. Jurnal Pendidikan Bahasa Dan Sastra Indonesia Undiksha, 12(1), 31. https://doi.org/10.23887/jjpbs.v12i1.43778
Rustan, E. (2017a). Analisis Penggunaan Bahasa Indonesia Laras Hukum Pada Putusan Perkara Ekonomi Syariah Pengadilan Agama Makassar. Al-Amwal Journal of Islamic Economic Law, 2(2), 166–176. https://doi.org/10.24256/alw.v2i2.638
Rustan, E. (2017b). Analisis Penggunaan Bahasa Indonesia Laras Hukum Pada Putusan Perkara Ekonomi Syariah Pengadilan Agama Makassar. Al-Amwal: Journal of Islamic Economic Law, 2(2), 191–210. https://doi.org/10.24256/alw.v2i2.638
Sagala, S. P. (2013). Pertanyaan Masalah Pertanahan (Sertifikat atau Sertipikat). https://omtanah.com/2013/09/23/pertanyaan-masalah-pertanahan-sertifikat-atau-sertipikat/
Sahnan, Arba, M., & Suhartana, L. W. P. (2019). Kewenangan Badan Pertanahan Nasional Dalam Penyelesaian Sengketa Pertanahan. Jurnal IUS: Kajian Hukum Dan Keadilan, 7(3), 436–450. https://doi.org/10.29303/ius.v7i3.714
Shahi, G. K., Dirkson, A., & Majchrzak, T. A. (2021). An exploratory study of COVID-19 misinformation on Twitter. Online Social Networks and Media, 22. https://doi.org/10.1016/j.osnem.2020.100104
Sisilia, M., & Setiyarni, I. (2022). Analisis Kesalahan Penggunaan Ejaan Bahasa Indonesia Pada Berita Online. Jurnal Kata (Bahasa, Sastra, Dan Pembelajarannya), 10(2), 167–172. https://jurnal.fkip.unila.ac.id/index.php/BINDO1/article/view/26678
Sudarjo, S. (2016). Analisis Kesalahan Bahasa Pada Putusan Mahkamah Konstitusi Nomor 4/PUU-XI/2013. RETORIKA: Jurnal Ilmu Bahasa, 2(1). https://doi.org/10.22225/jr.2.1.56.178-195
Suryani, I. (2014). Pemanfaatan Media Sosial sebagai Media Pemasaran Produk dan Potensi Indonesia dalam Upaya Mendukung ASEAN Community 2015. (Studi Social Media Marketing Pada Twitter Kemenparekraf RI dan Facebook Disparbud Provinsi Jawa Barat). Jurnal Komunikasi, 8(2), 123–137. https://journal.uii.ac.id/jurnal-komunikasi/article/view/6471
Susanto, B. (2014). Kepastian Hukum Sertifikat Hak Atas Tanah Berdasarkan Peraturan Pemerintah Nomor 24 Tahun 1997. DiH: Jurnal Ilmu Hukum, 10(20), 76–82. https://doi.org/10.30996/dih.v10i20.359
Tedeschi, L. O. (2019). ASN-ASAS Symposium: Future of Data Analytics in Nutrition: Mathematical modeling in ruminant nutrition: approaches and paradigms, extant models, and thoughts for upcoming predictive analytics. Journal of Animal Science, 97(5), 1921–1944. https://doi.org/10.1093/jas/skz092
We Are Social & Kepios. (2022). Digital 2022: Indonesia. Kepios Pte. Ltd. https://datareportal.com/reports/digital-2022-indonesia
We Are Social & Melwater. (2023). Digital 2023 Indonesia v01. https://indd.adobe.com/view/3f33174b-35c2-465a-94da-07e39f5687a0?allowFullscreen=true&wmode=opaque
WhatsApp. (2021). WhatsApp Encryption Overview. California - USA: WhatsApp LLC. http://www.cdn.whatsapp.net/security/WhatsApp-Security-Whitepaper.pdf
Wijnberg, D., & Le-Khac, N. A. (2021). Identifying interception possibilities for WhatsApp communication. Forensic Science International: Digital Investigation, 38. https://doi.org/10.1016/j.fsidi.2021.301132
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Journal Islamic Global Network for Information Technology and Entrepreneurship
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.