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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan SCIENCE TECH: Jurnal Ilmiah Ilmu Pengetahuan dan Teknologi Technologia: Jurnal Ilmiah Buletin Ilmiah Sarjana Teknik Elektro BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer)
Muhammad Koprawi
Universitas Amikom Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Dentistry Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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Journal : SCIENCE TECH: Jurnal Ilmiah Ilmu Pengetahuan dan Teknologi

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Implementasi Web Scraping pada Google Cendekia sebagai Sarana Profiling Penelitian Dosen Muhammad Koprawi; Wahyu Sukestyastama Putra
Science Tech: Jurnal Ilmu Pengetahuan dan Teknologi Vol 9 No 1 (2023): Februari
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/st.vol9.no1.a14188

Abstract

Google Scholar is an online platform that provides access to scholarly literature such as articles, theses, books and conference proceedings from various scientific publishers. As educators or lecturers, they should have scientific research works that can be accessed by anyone at any time. To measure achievement and access to publication of scientific papers quickly and to profiling educators, lecturers or researchers, universities must have a centralized database that comes from a Google Scholar account and can be updated periodically or automatically based on a specified period. To solve this problem, the researcher implements a web scraping technique combined with a cron job as a command that will run a task on a scheduled basis. The method used is the RAD (Rapid Application Development) method which focuses on a fast system development process. This study succeeded in scraping data for 2983 documents, displaying document citation data globally and successfully carrying out an automatic scheduling synchronization process that is set with scheduling configurations every week, every month, every quarter, every semester and every year, and scripts on cron jobs are run every 5 minutes on the server to check if any scheduling is active.
Co-Authors Hafizh Dhiya Ulhaq Almeyda Ulya Dharmawan Jeki Kuswanto Pramudhita Ferdiansyah Putra, Wahyu Sukestyastama Rifa Aghorru Rofik Hidayat Wahid Miftahul Ashari