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Journal : Record and Library Journal

Information Retrieval Document Classified with K-Nearest Neighbor Zaman, Badruz; Purwanti, Endah; Sukma, Alifian
Record and Library Journal Vol 1, No 2 (2015): Juli-Desember
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (26.491 KB) | DOI: 10.20473/rlj.v1i2.1177

Abstract

Along with the rapid advancement of technology development led to the amount of information available is also increasingly abundant. The aim of this study was to determine how the implementation of information retrieval system in the classification of the journal by using the cosine similarity and K-Nearest Neighbor (KNN). The data used as many as 160 documents with categories such as Physical Sciences and Engineering, Life Science, Health Science, and Social Sciences and Humanities. Construction stage begins with the use of text mining processing, the weighting of each token by using the term frequency-inverse document frequency (TF-IDF), calculate the degree of similarity of each document by using the cosine similarity and classification using k-Nearest Neighbor.Evaluation is done by using the testing documents as much as 20 documents, with a value of k = {37, 41, 43}. Evaluation system shows the level of success in classifying documents on the value of k = 43 with a value precision of 0501. System test results showed that 20 document testing used can be classified according to the actual category.
Information Retrieval Document Classified with K-Nearest Neighbor Zaman, Badruz; Purwanti, Endah; Sukma, Alifian
Record and Library Journal Vol 1, No 2 (2015): Juli-Desember
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (26.491 KB) | DOI: 10.20473/rlj.v1i2.1177

Abstract

Along with the rapid advancement of technology development led to the amount of information available is also increasingly abundant. The aim of this study was to determine how the implementation of information retrieval system in the classification of the journal by using the cosine similarity and K-Nearest Neighbor (KNN). The data used as many as 160 documents with categories such as Physical Sciences and Engineering, Life Science, Health Science, and Social Sciences and Humanities. Construction stage begins with the use of text mining processing, the weighting of each token by using the term frequency-inverse document frequency (TF-IDF), calculate the degree of similarity of each document by using the cosine similarity and classification using k-Nearest Neighbor.Evaluation is done by using the testing documents as much as 20 documents, with a value of k = {37, 41, 43}. Evaluation system shows the level of success in classifying documents on the value of k = 43 with a value precision of 0501. System test results showed that 20 document testing used can be classified according to the actual category.
Information Retrieval Document Classification with K-Nearest Neighbor Sukma, Alifian; Zaman, Badruz; Purwanti, Endah
Record and Library Journal Vol 1, No 2 (2015)
Publisher : D3 Teknisi Perpustakaan Fakultas Vokasi Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (511.443 KB) | DOI: 10.20473/rlj.V1-I2.2015.129-138

Abstract

Along with the rapid advancement of technology development led to the amount of information available is also increasingly abundant. The aim of this study was to determine how the implementation of information retrieval system in the classification of the journal by using the cosine similarity and K-Nearest Neighbor (KNN).The data used as many as 160 documents with categories such as Physical Sciences and Engineering, Life Science, Health Science, and Social Sciences and Humanities. Construction stage begins with the use of text mining processing, the weighting of each token by using the term frequency-inverse document frequency (TF-IDF), calculate the degree of similarity of each document by using the cosine similarity and classification using k-Nearest Neighbor.Evaluation is done by using the testing documents as much as 20 documents, with a value of k = {37, 41, 43}. Evaluation system shows the level of success in classifying documents on the value of k = 43 with a value precision of 0501. System test results showed that 20 document testing used can be classified according to the actual category
Co-Authors Aan Nurfahrudianto Abdulloh Fakih Abdulloh Fakih, Abdulloh Abid, Muhammad Fahri Ade Vita Aulia Aditya, Azizah Putri Ahmad Pabulo, Azfa Mutiara Airawaty, Diana Al Farizi, Mochammad Al-Ghotnini, Raid Aliami, Sri Alifian Sukma, Alifian Amin Tohari Anam, Insan Syariful Anas, M. Anas Andy Kurniawan, Andy Ariansyah, Mochamad Yunus Arlindasari, Putri Army Justitia Aryo Nugroho Asmawi, Muhammad Nurul Ihsan As’ari, Hasim Atmaranti, Salsabila Devina Azzahra, Aurum Badrus Zaman, Rahma Maulida Budiati, Khusnawati Alawi Nabilla Alya Nandicha, Fatimatuz Zahro, Bagaskara, Ardha Dewa Bagaskhara, Rezza Anferditya Bambang Agus Sumantri, Bambang Agus Bobby Rio Indriyantho Budi Prasetyo Samadikun, Budi Dedy Priyambodo Diah Nurdiwaty Endah Purwanti Eva Hariyanti Fairuz, Sayida Abqaria Faisol Faisol Faried Effendy Fauzi, Diah Ayu Septi Fauzi, Moh Farih Febriana, Lutfia Ariska Firdawati, Ery Fitriani, Namiyah Galih Hery Herlambang Hanin, Jihan Al Harianja, Ria Wenny Hariyadi, Rahmat Haryono Setiyo Huboyo Hasfiawan, Harsya Giras Heni Pujiastuti Herlambang, Galih Hery Heru Susanto Hery Purnomo Holyness Nurdin Singadimedja Indra Kharisma Raharjana Ira Puspitasari Ira Puspitasari Irawan, Hebi Kartono Kartono Khasanah, Ilmilia Nurul Khusnatussalwa, Naela Kusuma Hadi Soejoko, Dodi Kusuma, Fanesa Putra Adri Lilis Amalia Lilis Amalia, Lilis Linawati Linawati M. Najib Wafirur Rizqi Maulana, Elang Meilani, Anasya Dinda Mohammad Imron Mufiq, Mufiq Muhamad Kholil Mukhammad Ilham Nur Faizin Mukhammad Ilham Nur Faizin, Mukhammad Ilham Nur Munawaroh Munawaroh Mursyada, Ria Khasna Muzadi, Narul Hasyim Nayottami, Inten Bajra Novitasari, Nindy Irja Nugroho, Agung Nur Hasanah, Mudzakaroh Nur Solikin Nurandani Hardyanti Nurkhasnah, Siti Nurpanto, Nugroho Wisma Nurul Khasanah, Ilmilia Pangestu, Tito Pardamean Daulay Pradana, David Putra Ega Pramesthi, Rahajeng Diah Puji Astuti Puspitasari, Dila Oktariani Ramadani, Kurnia Rahma Retrialisca, Fitri Rifa’i, Hamzah Yusuf Rimuljo Hendradi Rino Sardanto Risky Aswi R, Risky Rofikoh, Vina Romadhony, Rahmad Irfan Roslinda Salim Saifudin, Nasrul Salsabila Devina Atmaranti Salsabila Roiqoh Samari Samari, Samari Sangadah, Imroatus Saputri, Adela Happy Setiawan, Enggal Setyorini, Rita Agus SIGIT PUJI WINARKO Sigit Ratnanto Silviana Silviana Sipahutar, Muhammad Agus Hanafi Solikah, Mar atus solikah, mar'atus Solikah, Mar’atus Sri Widiawati, Hestin Subagyo Subqi, Imam Sueni, Nurufaraai Sugeng Sugeng Sugiran Sugiran Sugiran Sugiran, Sugiran Susi Damayanti, Susi Sutrisno, Sutrisno Syafrudin Syafrudin Syah, Azriel Akbar Firman Tengku Riza Zarzani N Trinuraisi, M. Yuda Widiati, Hestin Sri Widiawati, Hestin Sri wijaya, mahananta Zanah, Umi Roikhatul Zhafiroh, Salma