Analisis Sentimen Warganet Terhadap Keberadaan Juru Parkir Liar Menggunakan Metode Naive Bayes Classifier
DOI:
https://doi.org/10.30865/mib.v8i1.6982Keywords:
Sentiment Analysis, Illegal Parking Officer, Social Media X, Tweets, Naïve Bayes ClassifierAbstract
The still high rate of poverty in Indonesia causes many impacts, one of which is the emergence of illegal parking attendants. This condition continues to be supported by the creation of a parking area for business actors for their visitors. The parking areas provided are often free, and even have signs saying so. However, there are individuals who use the free parking space to earn income. There are many netizens' sentiments regarding the phenomenon of lying parking attendants on social media. Therefore, in this research, an analysis was used in the form of netizen sentiment towards illegal parking attendants on social media X using Naïve Bayes. The main objective of this research is to understand the public's feelings towards the existence of illegal parking attendants operating in the parking area. The dataset used in this analysis was 905 taken from social media The results of this research netizens felt very annoyed, angry and disturbed by the presence of illegal parking attendants operating. This is proven by the results of negative sentiment which dominates 93% of the total data or as many as 841 negative sentiments regarding this phenomenon.References
T. Tranggono et al., “Peran Media Sosial Sebagai Wadah Aspirasi Masyarakat,†Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance, vol. 3, no. 2, pp. 2155–2164, Jun. 2023, doi: 10.53363/BUREAU.V3I2.314.
Y. W. S. Putra et al., Pengantar Aplikasi Mobile. CV. Haura Utama, 2023.
Y. Uky et al., Memahami Teknologi Informasi: Prinsip, Pengembangan, dan Penerapan. Kaizen Media Publishing, 2023.
Alfandi Safira and F. N. Hasan, “Analisis Sentimen Masyarakat Terhadap Paylater Menggunakan Metode Naive Bayes Classifier,†ZONAsi: Jurnal Sistem Informasi, vol. 5, no. 1, pp. 59–70, Jan. 2023, doi: 10.31849/zn.v5i1.12856.
Peraturan Presiden Republik Indonesia Nomor 112 Tahun 2007. Indonesia.
R. J. Oszaer et al., “Penegakan Hukum Terhadap Juru Parkir Tidak Resmi Di Kota Ambon,†CAPITAN: Constitutional Law & Administrative Law Review, vol. 1, no. 1, pp. 46–63, Jul. 2023, doi: 10.47268/CAPITAN.V1I1.9907.
S. E. Rahayu, H. Rita, and H. Febriaty, “Potensi Retribusi Parkir Terhadap Pendapatan Asli Daerah Kota Medan, Sebelum dan Sesudah Penerapan E-Parkir,†Owner : Riset dan Jurnal Akuntansi, vol. 7, no. 4, pp. 3702–3711, Oct. 2023, doi: 10.33395/OWNER.V7I4.1936.
D. Noviantoro and A. F. Rosando, “Peran Dinas Perhubungan Dalam Menertibkan Oknum Jasa Parkir Liar Di Kota Surabaya,†Bureaucracy Journal : Indonesia Journal of Law and Social-Political Governance, vol. 3, no. 2, pp. 1581–1591, Jan. 2023, doi: 10.53363/BUREAU.V3I2.266.
Kitab Undang-Undang Hukum Acara Pidana. Indonesia: Mahkamah Agung, 2021, p. 85.
Badan Pusat Statistik, “Februari 2023: Tingkat Pengangguran Terbuka (TPT) sebesar 5,45 Persen dan Rata-Rata Upah Buruh Sebesar 2,94 Juta Rupiah per Bulan.†Accessed: Oct. 23, 2023. [Online]. Available: https://www.bps.go.id/pressrelease/2023/05/05/2001/februari-2023--tingkat-pengangguran-terbuka--tpt--sebesar-5-45-persen-dan-rata-rata-upah-buruh-sebesar-2-94-juta-rupiah-per-bulan.html
A. Hendri Doni, F. Alfiona, W. Andespa, E. dan Bisnis Islam, and U. M. Islam Negeri Sjech Djamil Djambek Bukittinggi, “Pengangguran Dalam Perspektif Ekonomi Islam Dan Kovensional,†Jurnal Ilmiah Ekonomi, Manajemen dan Syariah (JIEMAS), vol. 2, no. 1, pp. 1–10, Dec. 2022, doi: 10.55883/JIEMAS.V2I1.20.
R. Naquitasia, D. H. Fudholi, and L. Iswari, “Analisis Sentimen Berbasis Aspek pada Wisata Halal dengan Metode Deep Learning,†Jurnal Teknoinfo, vol. 16, no. 2, pp. 156–164, Jul. 2022, doi: 10.33365/JTI.V16I2.1516.
C. F. Hasri and D. Alita, “Penerapan Metode Naïve Bayes Classifier Dan Support Vector Machine Pada Analisis Sentimen Terhadap Dampak Virus Corona Di Twitter,†Jurnal Informatika dan Rekayasa Perangkat Lunak (JATIKA), vol. 3, no. 2, pp. 145–160, Oct. 2022, doi: 10.33365/JATIKA.V3I2.2026.
E. Febriyani and H. Februariyanti, “Analisis Sentimen Terhadap Program Kampus Merdeka Menggunakan Algoritma Naive Bayes Classifier Di Twitter,†Jurnal Tekno Kompak, vol. 17, no. 1, pp. 25–38, Feb. 2023, doi: 10.33365/JTK.V17I1.2061.
T. A. Sari, E. Sinduningrum, and F. N. Hasan, “Analisis Sentimen Ulasan Pelanggan Pada Aplikasi Fore Coffee Menggunakan Metode Naïve Bayes,†KLIK: Kajian Ilmiah Informatika dan Komputer, vol. 3, no. 6, pp. 773–779, Jun. 2023, doi: 10.30865/KLIK.V3I6.884.
N. Q. Rizkina and F. N. Hasan, “Analisis Sentimen Komentar Netizen Terhadap Pembubaran Konser NCT 127 Menggunakan Metode Naive Bayes,†Journal of Information System Research (JOSH), vol. 4, no. 4, pp. 1136–1144, Jul. 2023, doi: 10.47065/JOSH.V4I4.3803.
Y. Akbar and T. Sugiharto, “Analisis Sentimen Pengguna Twitter di Indonesia Terhadap ChatGPT Menggunakan Algoritma C4.5 dan Naïve Bayes,†Jurnal Sains dan Teknologi, pp. 115–122, 2023, doi: 10.55338/saintek.v4i3.1368.
S. Dwi et al., “Analisis Sentimen Relokasi Ibukota Nusantara Menggunakan Algoritma Naïve Bayes dan KNN,†Jurnal KomtekInfo, vol. 10, no. 1, pp. 1–7, Jan. 2023, doi: 10.35134/KOMTEKINFO.V10I1.330.
A. Saputra and F. N. Hasan, “Analisis SentimenTerhadap Aplikasi Coffe Meets Bagel Dengan Algoritma Naive Bayes Classifier,†SIBATIK JOURNAL: Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan, vol. 2, no. 2, pp. 465–474, Jan. 2023, doi: 10.54443/SIBATIK.V2I2.579.
T. Ridwansyah, “Implementasi Text Mining Terhadap Analisis Sentimen Masyarakat Dunia Di Twitter Terhadap Kota Medan Menggunakan K-Fold Cross Validation Dan Naïve Bayes Classifier,†KLIK: Kajian Ilmiah Informatika dan Komputer, vol. 2, no. 5, pp. 178–185, Apr. 2022, doi: 10.30865/KLIK.V2I5.362.
M. Hudha, E. Supriyati, and T. Listyorini, “Analisis Sentimen Pengguna Youtube Terhadap Tayangan #MATANAJWAMENANTITERAWAN Dengan Metode Naive Bayes Classifier,†JIKO (Jurnal Informatika dan Komputer), vol. 5, no. 1, pp. 1–6, Apr. 2022, doi: 10.33387/JIKO.V5I1.3376.
A. C. Khotimah and E. Utami, “Perbandingan Algoritma Naïve Bayes Classifier, K-Nearest Neighbor Dan Support Vector Machine Dalam Klasifikasi Karakter Individu Pada Akun Twitter,†Jurnal Teknik Informatika (Jutif), vol. 3, no. 3, pp. 673–680, 2022, doi: 10.20884/1.jutif.2022.3.3.254.
A. R. Abdillah and F. N. Hasan, “Analisis Sentimen Terhadap Kandidat Calon Presiden Berdasarkan Tweets Di Sosial Media Menggunakan Naive Bayes Classifier,†SMATIKA JURNAL : STIKI Informatika Jurnal, vol. 13, no. 01, pp. 117–130, Jul. 2023, doi: 10.32664/SMATIKA.V13I01.750.
A. R. Isnain, H. Sulistiani, B. M. Hurohman, A. Nurkholis, and Styawati, “Analisis Perbandingan Algoritma LSTM dan Naive Bayes untuk Analisis Sentimen,†JEPIN (Jurnal Edukasi dan Penelitian Informatika), vol. 8, no. 2, pp. 299–303, Aug. 2022, doi: 10.26418/JP.V8I2.54704.
A. Wibowo, F. Noor Hasan, L. Akbar Ramadhan, R. Nurhayati, and dan Arief Wibowo, “Analisis Sentimen Opini Masyarakat Terhadap Keefektifan Pembelajaran Daring Selama Pandemi COVID-19 Menggunakan Naïve Bayes Classifier,†Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa dan Inovasi, vol. 4, pp. 239–248, Jul. 2022, doi: 10.35814/ASIIMETRIK.V4I1.3577.
D. R. Berliana and B. Santoso, “Elektabilitas Ridwan Kamil Dan Anies Baswedan Dalam Simulasi Pilpres 2024 Di Twitter (Analisis Jaringan Media Sosial Dan Analisis Sentimen Pengguna Twitter Terhadap #RIDWANKAMIL Dan #ANIESBASWEDAN),†Mediakom : Jurnal Ilmu Komunikasi, vol. 6, no. 2, pp. 150–162, Jan. 2023, doi: 10.35760/MKM.2022.V6I2.6962.
“Indonesian Stoplist.†Accessed: May 23, 2023. [Online]. Available: https://www.kaggle.com/datasets/oswinrh/indonesian-stoplist/data
L. A. Rahman Malik, M. Kamayani, and F. N. Hasan, “Faktor-Faktor Yang Mempengaruhi Minat Calon Mahasiswa Baru Mendaftar Pada FTII Uhamka Menggunakan Algoritma K-Nearest Neighbor (K-NN),†Infotech: Journal of Technology Information, vol. 9, no. 1, pp. 85–94, Jun. 2023, doi: 10.37365/jti.v9i1.163.
B. Gunawan, H. Sasty, P. #2, E. Esyudha, and P. #3, “Sistem Analisis Sentimen pada Ulasan Produk Menggunakan Metode Naive Bayes,†JEPIN (Jurnal Edukasi dan Penelitian Informatika), vol. 4, no. 2, pp. 113–118, Dec. 2018, doi: 10.26418/JP.V4I2.27526.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
