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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains
Diki Hidayat
Universitas Pamulang
Astronomy Chemistry Computer Science & IT Electrical & Electronics Engineering Social Sciences

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Otomatisasi Pengujian Aplikasi Scraping Profil Pengguna Facebook Menggunakan Selenium Muhammad Adji Assalmi; Diki Hidayat; Aldiyansyah; Ibnu Solihah Taghalli; Aries Saifudin
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

This research describes how to automate testing scraping applications to automatically retrieve Facebook user profile data. In the digital age, data is extremely valuable. Because data can be processed into new knowledge that can be used in all areas of life such as education, business and business. Facebook is a place where a lot of data is stored. Getting data from Facebook is not easy. I need a technique that my bot can use to crawl Facebook pages, retrieve user profile data, and group it by profile category. The technique is to create a bot out of Selenium. The stages of this research process are: Understand the HTML structure of Facebook pages to find patterns in Facebook profile data. A bot is then developed that can open the user's profile page, retrieve the profile data, and parse it against the patterns in her HTML structure on the Facebook page. Experimented on the web at a speed of 20 Mbit/s, the bot was able to retrieve the details of 100 Facebook user profiles of her in 20 minutes.
PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PENILAIAN PRESTASI PEGAWAI MENGGUNAKAN METODE SAW, AHP, DAN TOPSIS Diki Hidayat; Aldiyansyah; Muhammad Adji Assalmi; Alfrianto Pratama Ginting; Perani Rosyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 08 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Having the best talent is a very important aspect for companies, as good people and high competence can improve a company's productivity and performance, and can create great leaders in the future. PT. Bank Pembangunan Daerah Banten, Tbk. have the best staff to process candidate data, but due to the lack of standards and still using manual systems, the evaluation process is still not transparent, accurate, reliable, and takes a long time. increase. Determining the best employees at Bank banten requires a decision support system as a recommendation to the board of directors. A decision support system that uses three methods to determine the best employees who worked in this study: Simple Additive Weighting (SAW), Analytical Hierarchy Process (AHP), Ordering by Similarity to Ideal Solution (TOPSIS). This study evaluated the best Bank banten based on predetermined criteria such as individual performance ratings, work unit performance, attendance, behavior, goal attainment in employment, employee training, evaluation documents, presentations, and interview results. Create a decision support system that can recommend employees.
Co-Authors Aldiyansyah Alfrianto Pratama Ginting Aries Saifudin Ibnu Solihah Taghalli Muhammad Adji Assalmi Perani Rosyani