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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 Abdul Khamid, Abdul Abdulloh Fakih Abdulloh Fakih, Abdulloh Abid, Muhammad Fahri Aditya, Azizah Putri Agnesia, Briggita Ahmad Pabulo, Azfa Mutiara Airawaty, Diana Al Farizi, Mochammad Al-Ghotnini, Raid Aliami, Sri Alifian Sukma, Alifian Amin Tohari Amruroh, M. Qoirul Jazik Anam, Insan Syariful Anas, M. Anas Andy Kurniawan, Andy Anik Sarminingsih, Anik Anita, Puput Ariansyah, Mochamad Yunus Arlindasari, Putri Army Justitia Aryo Nugroho Arzaqi, Muhammad Yusril 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 Berliana, Chandra Intan Bobby Rio Indriyantho Budi Prasetyo Samadikun, Budi Bupu, Maria Goreti Dedy Priyambodo Dewi, Ratih Agustina Diah Nurdiwaty Endah Purwanti Eva Hariyanti Fadhila, Alfina Naila Fairuz, Sayida Abqaria Faisol Faisol Faisol Faisol Faisol Faried Effendy Fauzi, Diah Ayu Septi Fauzi, Moh Farih Fauziyah, Agustina Nur Febriana, Lutfia Ariska Firdawati, Ery Fitria, Dessy Fitriani, Namiyah Galih Hery Herlambang Hanin, Jihan Al Harianja, Ria Wenny Hariyadi, Rahmat Haryono Setiyo Huboyo Hasfiawan, Harsya Giras Helmiawan, Gessa Heni Pujiastuti Herlambang, Galih Hery Heru Susanto Hery Purnomo Hidayati, Islamiyah Nur Holyness Nurdin Singadimedja Huda, Muh Nafis Zidanil Hukmiyah, Mas'adatul Indah Rahmawati Indra Kharisma Raharjana Indra Suwanto, Indra Ira Puspitasari Ira Puspitasari Irawan, Hebi Kartono Kartono Khasanah, Ilmilia Nurul Khasanah, Safiratul Khusna, Masro'ul Khusnatussalwa, Naela Kusuma Hadi Soejoko, Dodi Kusuma, Fanesa Putra Adri Lestikasari, Febri Lilis Amalia Lilis Amalia, Lilis Linawati Linawati Luthfinda, Muhammad Mahendra, Ebnu Marzuki, Ahmad Ma'ruf Maulana, Elang Maulana, Shiva Amadea Meilani, Anasya Dinda Mohammad Imron Mubarok, Muhamad Mufiq, Mufiq Muhamad Kholil Muhammad Ersya Faraby Mukhammad Ilham Nur Faizin Mukhammad Ilham Nur Faizin, Mukhammad Ilham Nur Munawaroh Munawaroh Mursyada, Ria Khasna Muzadi, Narul Hasyim Najwa, Ari Sabila Nayottami, Inten Bajra Ningrum, Rani Ulan Novitasari, Nindy Irja Nugeraheni, Cahya Kusuma Nugroho, Agung Nur Hasanah, Mudzakaroh Nur Solikin Nurandani Hardyanti Nurkhasnah, Siti Nurpanto, Nugroho Wisma Nurul Khasanah, Ilmilia Oktavianto, Eric Pangestu, Tito Pardamean Daulay pengelola, pengelola Pradana, David Putra Ega Pramesthi, Rahajeng Diah Pratiwi, Lisa Cahya Pratiwi, Sefi Sindi Puji Astuti Puspita, Erna Puspitasari, Dila Oktariani Putra, Wahyu Ananda Rahayu, Ajeng Nafa Dianty Rahma, Zulfiana Ayu Ramadani, Kurnia Rahma Rebeca, Sasha Rengganis, Safina Dwi Retrialisca, Fitri Rifa’i, Hamzah Yusuf Rimuljo Hendradi Rindihastuti, Arifa Rino Sardanto Risky Aswi R, Risky Rizqi, M. Najib Wafirur Rofikoh, Vina Romadhony, Rahmad Irfan Roslinda Salim Safitri, Rika Saifudin Saifudin Saifudin, Muhammad Agus Saifudin, Nasrul Salsabila Devina Atmaranti Salsabila Roiqoh Samari Samari, Samari Sangadah, Imroatus Sanrully, Muhamad Ichwan Ade Saputri, Adela Happy Savitri, Avinda Tyas 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 Sugeng Sugiran Sugiran Sugiran Sugiran, Sugiran Susi Damayanti, Susi Sutrisno, Sutrisno Syafrudin Syafrudin Syah, Azriel Akbar Firman Tengku Riza Zarzani N Thohir, Muhammad Mujib Trinuraisi, M. Yuda Ulil Amri Mustaghfirin Vita Aulia, Ade Wardani, Finka Agustin Widiati, Hestin Sri Widiawati, Hestin Sri Widuri, Sani wijaya, mahananta Yahya, Maula Devina Zanah, Umi Roikhatul Zhafiroh, Salma Zuairiyah, Zuairiyah Zumaruddin, Muhammad