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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Buana Informatika Jurnal Informatika Jurnal Sarjana Teknik Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Prosiding SNATIF Jurnas Nasional Teknologi dan Sistem Informasi InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JOIV : International Journal on Informatics Visualization Jurnal Ilmiah FIFO JRST (Jurnal Riset Sains dan Teknologi) Jurnal Sisfokom (Sistem Informasi dan Komputer) IJISTECH (International Journal Of Information System & Technology) JUMANJI (Jurnal Masyarakat Informatika Unjani) Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat Jurnal Inti Talafa : Jurnal Teknik Informatika Building of Informatics, Technology and Science Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) IJISTECH Techno Urecol Journal. Part E: Engineering Jurnal Informatika: Jurnal Pengembangan IT ABDIMASTEK
Lisna Zahrotun
Universitas Ahmad Dahlan
Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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Journal : ComEngApp : Computer Engineering and Applications Journal

 1 
Comparison Jaccard similarity, Cosine Similarity and Combined Both of the Data Clustering With Shared Nearest Neighbor Method Lisna Zahrotun
Computer Engineering and Applications Journal Vol 5 No 1 (2016)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (481.098 KB) | DOI: 10.18495/comengapp.v5i1.160

Abstract

Text Mining is the excavations carried out by the computer to get something new that comes from information extracted automatically from data sources of different text. Clustering technique itself is a grouping technique that is widely used in data mining. The aim of this study was to find the most optimum value similarity. Jaccard similarity method used similarity, cosine similarity and a combination of Jaccard similarity and cosine similarity. By combining the two similarity is expected to increase the value of the similarity of the two titles. While the document is used only in the form of a title document of practical work in the Department of Informatics Engineering University of Ahmad Dahlan. All these articles have been through the process of preprocessing beforehand. And the method used is the method of document clustering with Shared Nearest Neighbor (SNN). Results from this study is the cosine similarity method gives the best value of proximity or similarity compared to Jaccard similarity and a combination of both
Text Mining for Internship Titles Clustering Using Shared Nearest Neighbor Lisna Zahrotun
Computer Engineering and Applications Journal Vol 6 No 3 (2017)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.479 KB) | DOI: 10.18495/comengapp.v6i3.214

Abstract

An Internship course becomes one of many compulsory subjects in Under graduate Program of Informatics Engineering in Ahmad Dahlan University, Yogyakarta.In the last few semesters, we found that some students were failed in taking this subject. After being identified, they were facing some obstacles such as determining the main theme for their job description. During this study, we proposed an application to classify the internship titles by using a technique in text mining called Shared Nearest-Neighbor and Cosine Similarity. From the result, we got values from the parameter K is 7, the epsilon value is 0.5, and the value of Mint t is 0.3 with 22 clusters and 0 outlier. These values presented that all data titles of internship activitiesareclassified into each cluster. 7 topics whichtook by majority of students are:1) Information Systems (7 titles);2) Instructional Media (5 titles);3)Archiving Applications (4 titles);4) Web Profile Implementation (3 titles); 5)Instructional Media for University Courses (3 titles); Multimedia (3 titles) and 6)Workshop & Training (3 titles).
Co-Authors Amanatullah, Yosyadi Rizkika Anita Rahmawati Anna Hendri Soleliza Jones Ansari Ansari Arfiani Nur Khusna Aryandita, Muhammad Dwinda Agust Dewi Soyusiawaty Dwiyanti, Ryzky Aulia Elyana, Ade Eni Purwaningsih Fajri, Yunus Fiqriany Karepesina Hanifatun, Farras Hapsari, Intan Herri Kurnia Ika Arfiani Ika Kurnia Saputri Indri Dwi Lestari Jones, Anna Hendri Soleliza Juniarti, Rahmat Kurnia, Herri Lintang Fauziyatu Azmi Muhammad Faishal Mushlihudin Mushlihudin Mushlihudin Mushlihudin Mushlihudin, Mushlihudin Mushlihudin, Mushlihudin Purwayoga, Vega Ramadhan, Imam Rusydi Umar Sabila, Liya Yusrina Soleliza Jones, Anna Hendri Soleliza Jones, Anna Hendry Suandi As, Banu Harli Trimulya Taufik Mufti Haryadi Tedy Setiadi Tsani Elvia Nita Utaminingsih Linarti, Utaminingsih