Main Article Content
Abstract
Yth Editor
Judul "KLASIFIKASI BAHASA DAERAH KABUPATEN MALAKA FOHO DAN FEHAN MENGGUNAKAN METODE NAÏVE BAYES". mohon di proses
Keywords
Language Classification
Naïve Bayes
TF-IDF
Foho Language
Fehan Language
Malacca Regency
Article Details

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
How to Cite
Araujo, A., Rangga Pahlevi Putra, & Istiadi. (2025). Classification of Regional Languages of Malaka Foho and Fehan Districts Using the Naïve Bayes Method. Edutran Computer Science and Information Technology, 2(1), 42-52. https://doi.org/10.59805/ecsit.v2i1.144
References
- [1] CP Ate and STM Ndapa Lawa, “The Shift of Tetun Fehan in the Family Realm in the Belu Community Speech Community in the RI-RDTL Border Region,” SeBaSa, vol. 5, no. 2, pp. 424–437, 2022, doi: 10.29408/sbs.v5i2.6672.
- [2] Deni Yosef Nahak Berek and Frysa Wiriantari, ST, MT., “The Construction Process of the Uma Bei Kmeda Traditional House in Lorotolus Village, Malaka Regency - NTT,” J. Anala, vol. 7, no. 1, pp. 10–16, 2020, doi: 10.46650/anala.7.1.997.10-16.
- [3] N. Katriani, “Classification of Regional Languages of Toraja, Halmahera, and Kalimantan Using Decision Tree and Gradient Boots Methods,” JATISI (Journal of Information Technology and Information Systems), vol. 9, no. 2, pp. 930–940, 2022, doi: 10.35957/jatisi.v9i2.1670.
- [4] GM Momole, “Comparison of Naive Bayes and Random Forest in Regional Language Classification,” JATISI (Journal of Information Technology and Information Systems), vol. 9, no. 2, pp. 855–863, 2022, doi: 10.35957/jatisi.v9i2.1857.
- [5] MZ Haq, CS Octiva, A. Ayuliana, UW Nuryanto, and D. Suryadi, “Naive Bayes Algorithm for Identifying Hoaxes on Social Media,” J. Minfo Polgan, vol. 13, no. 1, pp. 1079–1084, 2024, doi: 10.33395/jmp.v13i1.13937.
- [6] KB Nahak, A. Rahim, A. Putera, and MD Bano, "Serial Verbs in Tetun Language," vol. 7, pp. 57–67, 2022.
- [7] D. Tuhenay and E. Mailoa, “Comparison of Language Classification Using Naive Bayes Classifier (Nbc) and Support Vector Machine (Svm) Methods,” JIKO (Journal of Inform. and Computer), vol. 4, no. 2, pp. 105–111, 2021, doi: 10.33387/jiko.
- [8] KB Nahak, "Personal Pronoun Greeting Forms in Tetum, Fehan Dialect," Jubindo J. Educator Science. Idioms and Indonesian Literature, vol. 5, no. 1, pp. 38–49, 2020, doi: 10.32938/jbi.v5i1.484.
- [9] IKS Adnyana, "Linguistic Variations of Tetum Fehan Dialect: A Preliminary Study," Masy. Linguist. Indonesia., vol. 36, no. 1, pp. 93–102, 2018.
- [10] Aji Priyambodo and Prihati Prihati, “Evaluation of Text Classification Feature Extraction for Classification Accuracy Improvement Using Naive Bayes,” Elkom J. Electron. and Comput., vol. 13, no. 1, pp. 159–175, 2020, doi: 10.51903/elkom.v13i1.277.
- [11] D. Ariyanti and K. Iswardani, “Text Mining for Classifying Public Complaints at the Probolinggo City Government Using the Naïve Bayes Algorithm,” J. IKRA-ITH Inform., vol. 4, no. 3, pp. 125–132, 2020.
- [12] I. Asyura, R. Dewi, S. Syekh Manshur, JK Raya Labuan, and C. Kadulisung Pandeglang Banten, “ANALYSIS OF MATHEMATICAL ABILITY OF PGSD STUDENTS TOWARDS THE USE OF GEOGEBRA CLASSROOM IN THE ERA AND POST THE COVID-19 PANDEMIC”, [Online]. Available: https://www.geogebra.org/.
- [13] Alfath Daryl Alhajir, Yisti Vita Via, and Wahyu Syaifullah Jauharis Saputra, “A Rice Object and Foreign Object Detection System Based on Keras and Google Colab,” J. Inform. and Sist. Inf., vol. 2, no. 3, pp. 580–586, 2021, doi: 10.33005/jifosi.v2i3.369.
- [14] N. Khoirunnisaa, K. Nabila Nastiti Kesuma, S. Setiawan, and A. Yunizar Pratama Yusuf, “Classification of Netflix App Review Text on Google Play Store Using Naive Bayes and SVM Algorithms,” SKANIKA Sist. Comput. and Tek. Inform., vol. 7, no. 1, pp. 64–73, 2024, doi: 10.36080/skanika.v7i1.3138.