PENERAPAN KAMUS DASAR PADA ALGORITMA PORTER UNTUK MENGURANGI KESALAHAN STEMMING BAHASA INDONESIA
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References
Afuan, L. (2013). Stemming Dokumen Teks Bahasa Indonesia Menggunakan Algoritma Porter. Jurnal Telematika vol.6, 34-40.
Agusta, L. (2009). Perbandingan Algoritma Stemming Porter dengan Algoritma Nazief&Adriani untuk Stemming Dokumen Teks Bahasa Indonesia. Konferensi Nasional Sistem dan Informatika, 196-200.
Al Ajeeli, A. T. (2016). An Intelligent Framework for Natural Language Stems Processing. Global Journal of Computer Science and Technology, 16(1), 22-38.
Apriyanti, T., Wulandari, H., Safitri, M., & Dewi, N. (2016). Translating Theory of English into Indonesian and Vice-Versa. Indonesian Journal of English Language Studies, 2(1), 38-59.
Bahtiar, A., & Fatimah. (2014). Bahasa Indonesia untuk Perguruan Tinggi. Bogor: IN-MEDIA-Bogor.
Brychcín, T., & Konopík, M. (2015). HPS: High Precision Stemmer. Information Processing and Management, 68-91.
Fadllullah, A., Kamudi, D. D., Nasir, M., Arifin, A. Z., & Purwitasari, D. (2016). Web News Documents Clustering in Indonesian Language using Singular Value Decomposition-Principal Component Analysis and Ant Algorithms. Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information), 9(1), 17-25. doi:10.21609/jiki.v9i1.362
Fitri, M. (2013). Perancangan Sistem Temu Balik Informasi Dengan Metode Pembobotan Kombinas TF-IDF untuk Pencarian Dokumen BerBahasa Indonesia. Jurnal Sistem dan Teknologi Informasi (JustIN), 1(1), 1-6. Retrieved from http://jurnal.untan.ac.id/index.php/justin/article/view/1319
Gupta, V., & Lehal, G. S. (2013). A Survey of Common Stemming Techniques and Existing Stemmers for Indian Languages. Journal of Emerging Technologies in Web Intelligence, 5(2), 157-161. doi:10.4304/jetwi.5.2.157-161
Karyono, G., & Utomo, F. S. (2012). Temu Balik Informasi pada Dokumen Teks Berbahasa Indonesia dengan Metode Vector Space Retrieval Al Model. Journal Seminal Nasional Teknologi Informasi & Komunikasi Terapan , 282-288.
Mandala, R., Koryanti, E., Munir, R., & Harlili. (2004). Sistem Stemming Otomatis untuk Kata dalam Bahasa Indonesia. Seminar Naional Aplikasi Teknologi Informasi, 29-35.
Novitasari, D. (2016). Perbandingan Algoritma Stemming Porter dengan Arifin Setiono untuk Menentukan Tingkat Ketepatan Kata Dasar. Jurnal String, 1(2), 120-129.
Pontis, S., Blandford, A., Greifeneder, E., Attalla, H., & Neal, D. (2017). Keeping Up to Date: An Academic Researcher’s Information Journey. Journal of the Association for Information Science and Technology, 68(1), 22-35. doi:10.1002/asi.23623
Rahimi, M., & Zahedi, M. (2014). Query Expansion based on Relevance Feedback and Latent Semantic Analysis. Journal of AI and Data Mining, 2(1), 79-84.
Roshdi, A., & Roohparvar, A. (2015). Review: Information Retrieval Techniques and Applications. International Journal of Computer Networks and Communications Security, 3(9), 373-377.
Ruban, S., Sam, S. B., Serrao, L. V., & Harshitha. (2015). A Study and Analysis of Information Retrieval Models. International Journal of Innovative Research in Computer and Communication Engineering, 3(7), 230-236.
Samsudin, D. (2015). Peran Media Dalam Pemasyarakatan Istilah Bahasa Indonesia. Metalingua, 13(2), 151-159.
Setiawan, R., Kurniawan, A., Budiharto, W., Kartowisastro, I. H., & Prabowo, H. (2016). Flexible affix classification for stemming Indonesian Language. 2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (pp. 1-6). Chiang Mai, Thailand: IEEE. doi:10.1109/ECTICon.2016.7561257
Siroj, M. B. (2015). Pengembangan Model Integratif Bahan Ajar Bahasa Indonesia Ranah Sosial Budaya berbasis ICT bagi Penutur Asing Tingkat Menengah. Jurnal Pendidikan Bahasa dan Sastra Indonesia, 4(1), 74-84.
Tala, F. Z. (2003). A Study of Stemming Effects on Information Retrieval in Bahasa Indonesia. 1-33.
Utomo, M. S. (2013, Januari). Implementasi Stemmer Tala pada Aplikasi Berbasis Web. Jurnal Tekonologi Informasi DINAMIK Volume 18 no 1 , 41-45.
Vivekavardhan, J. (2015). Search Engines for User Centric Information Retrieval and Scholarly Communication. International Journal of Advanced Library and Information Science, 3, 201-211.
Zainuddin. (2016). A Study on Derivational Affixes of Indonesian Noun-Formation in Newspaper Editorial: A Semantic Perspective. International Journal of English Linguistics, 6(3), 148-155. doi:10.5539/ijel.v6n3p148