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All Journal WAPFI (Wahana Pendidikan Fisika) Prosiding SNATIKA Vol 01 (2011) Jurnal Teknologi Informasi dan Ilmu Komputer Record and Library Journal Indonesian Journal of Tropical and Infectious Disease Journal of Information Systems Engineering and Business Intelligence MNJ (Malang Neurology Journal) Jurnal Sisfokom (Sistem Informasi dan Komputer) Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Cerdas MULTINETICS Jurnal Layanan Masyarakat (Journal of Public Service) Indonesian Applied Physics Letters Sewagati: Jurnal Pengabdian Masyarakat Indonesia English Education Journal ThufuLA: Jurnal Inovasi Pendidikan Guru Raudhatul Athfal
Endah Purwanti
Program Studi Sistem Informasi, Departemen Matematika, Fakultas Sains Dan Teknologi, Universitas Airlangga
Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Other

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Journal : record and library journal

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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 Adhipratama, Javier Ihsan Adri Supardi, Adri Agustin, Dewien Nabila Akhlaqulkarimah, Fildzah Alfath, Muhammad Fauzan Alifian Sukma, Alifian Amadea Kurnia Nastiti, Amadea Kurnia Amma, Fadli Anggrek Citra Nusantara, Anggrek Citra Annita Kastur Kastur Athallah, R. Sulthan Rafi Azzahra, Zahwa Arsy Badrus Zaman Bagus Fery Yanto Baihaqi, Joevans Mikail Dodi Ahmad Haerudin Efelina, Vita Eva Hariyanti Fahira Firdausi Faried Effendy Ferrari, Rifky Mahdiyah Fikri Yoma Rosyidan Firmanul Catur Wibowo Fitriyatul Qulub Franky Chandra Satria Arisgraha Handayani, Arum Tiyas Hariono, Lellen Novia Hidayat, Auliya Rakhman Indah Safarina Indah Safarina, Indah Indah Werdiningsih Indra Kharisma Raharjana Iwan Sugihartono Kathrina Rustipa Keyesa, Talidah Nur Khusnul Ain Laili Nur Hidayati, Laili Lydia Wijaya M. Arief Bustomi Mardiyana, Iin Mohammad Hasan Machfoed Muid, Faruq Abdul Namara Akbar, Gamas Nania Nuzulita Novia Nurhasanah Arrasyid Nur Septia Handayani Nura Somba, Darren Febriand Nurjanah, Endang Oktavia Intifada Husna Oktaviano, Yudi Her Osmalina Nur Rahma Pramiyas, Naurah Hedy Pramudita, Alfian Pratama, Muhammad Fadhil Putra Prihartini Widiyanti Purbandini Soeparman, Purbandini Qomari, Yusuf Maulana Rachmawati, Rizky Widya Retrialisca, Fitri Riries Rulaningtyas Rochman, Eka Mala Sari Rudi Hartono Sahar, Virda Adisty Sembiring, Rinawati Soegianto Soelistiono Soraya, Sofiyan Sugeng Santoso Sukoco, Bekti Suryadewi, Kharristantie Sekarlangit Suryani Dyah Astuti Tarunosudirjo, Rahardian Taufik Taufik Taufik Wardhani, Inten Firdhausi Wibisono, Tio Satrio Wijianto, Buyung Wira Aditya, Gede Rangga Yahrani, Fakhrana Almas Syah Yatijan, Marcella Aurelia Yudi Her Oktaviono, Yudi Her Zaen, Maulana Biagi