Adi Wibowo
Teknik Informatika, Fakultas Teknologi Industri, Universitas Kristen Petra

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PENCARIAN FILE PADA ANDROID BERBASIS SUFFIX TREE CLUSTERING DENGAN DUKUNGAN WORDNET Adi Wibowo; Justinus Andjarwirawan; David Valentino
Telematika Vol 15, No 1 (2018): Edisi April 2018
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v15i1.3061

Abstract

Finding a specific file in Android devices is not an easy task. Not many apps can search by files’ contents and find terms similarities between user’s queries and files’ terms. This research proposed using Suffix Tree Clustering to index files contents, and WordNet to expand user’s query terms. This research used waterfall as research methodology to built a search engine prototype. There are five steps to index files, i.e. listing and parsing, preprocessing, clustering, merging of clusters, and storing cluster data into database. If a user wants to search files, the prototype will expand user’s query terms using WordNet’s synsets and compare them with clusters stored in a database. The results of this research show that suffix tree clustering and multithreading can be used to index files’ contents, and term expansion can help users to find clusters similar with user’s query terms.
Penerapan Web Services untuk Layanan Informasi Pekerjaan Online Adi Wibowo; Kartika Gunadi; Benny Hartono Santoso
Jurnal Nasional Teknologi dan Sistem Informasi Vol 2, No 3 (2016): Desember 2016
Publisher : Jurusan Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v2i3.2016.149-156

Abstract

Abstract— There are multiple websites that provide job vacancies information through internet. The limitation of those sites is that they manage only their own data. There is no effort to share their data to other websites. Data sharing will benefit users that users can search vacancies from larger and more complete database. This research proposes a prototype of job vacancies information provider using SDLC method. To share data this sistem proposed using REST protocol. REST protocol enable sistem to share job vacancies data, job seeker data, and login data among systems. The result shows that the prototype can provide data through REST as needed. Intisari— Situs penyedia data lowongan pekerjaan banyak tersedia di internet. Kekurangan yang terlihat pada situs-situs tersebut adalah bahwa data yang tersimpan hanya dikelola secara mandiri oleh tiap situs. Tidak ada upaya berbagi (sharing) antar situs yang memungkinkan pengguna mencari data dari database yang lebih besar atau lengkap. Penelitian ini menggunakan metode SDLC untuk mengusulkan purwarupa situs data lowongan pekerjaan dengan dukungan protokol REST. Protokol REST memungkinkan sistem berbagi data lowongan pekerjaan, data pencari pekerjaan, dan login antar sistem. Hasil penelitian menunjukkan bahwa purwarupa dapat menyediakan layanan data melalui REST sesuai kebutuhan.