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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic JREC (Journal of Electrical and Electronics) Jurnal Ilmiah Teknik Mesin Jurnal Kajian Ilmiah DEVOSI Journal of Students‘ Research in Computer Science (JSRCS) Journal of Computer Science Contributions (Jucosco)
Dadan Irwan
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Religion Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Web Scraping Situs Berita Menggunakan Bahasa Pemograman Python Fikri, Muhammad Ramadan; Handayanto, Rahmadya Trias; Irwan, Dadan
Journal of Students‘ Research in Computer Science Vol. 3 No. 1 (2022): Mei 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/x38bpb21

Abstract

Currently the rapid development of technology provides innovation, one of which is the technique of obtaining information from portal websites, termed web scrapers. This application provides data needs in the form of information where the process of retrieving information from sites will later be taken to observe behavior and perceptions to get the right segmentation. Most data collection is currently still done manually, as a result, this method has several system limitations, namely the length of the data collection process so that it slows down the performance of market segment analysis. The risk is not getting the right market segmentation. To solve this problem, a web scraping news site is needed. In this study, web scraping news sites were created using the python programming language and the flask library to display web scraping. In addition, the Selenium library is used to simplify application creation, facilitate interaction with the web and provide facilities to control a web browser. This program can retrieve data based on keywords, where the results are in the form of the title, posting date, summary, then collect the data that has been taken into a csv file extension automatically.
Pelatihan Pemanfaatan Software Pendukung Dalam Pembuatan Artikel Ilmiah Terpublikasi Bagi Guru-Guru SMA Herlawati, Herlawati; Atika, Prima Dina; Hendharsetiawan, Andy Achmad; Handayanto, Rahmadya Trias; Sumadyo, Malikus; Whidhiasih, Retno Nugroho; Ekawati, Inna; Irwan, Dadan; Haryono, Haryono
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 2 (2023): Juli 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/sgfq4k95

Abstract

Supportive software for scientific article creation is an application that assists in writing scientific articlesefficiently and effectively. This software features reference management, note-taking, text review, andformatting according to academic standards. The training to be provided will focus on creating scientificarticles using supportive software to enhance the competence of teachers in publishing their scientific articles.By understanding how to create scientific articles, high school teachers can improve their academic abilities,serve as positive examples for students, provide resources, and contribute to research and educationaldevelopment. This can help improve the quality of education and produce competent and skilled students. Theproposed solution is to organize training on the utilization of supportive software in scientific article creation.This training will provide understanding and skills in using software such as Mendeley and ChatGPT. Mendeleyis a reference management software that assists in collecting, managing, and storing references for scientificarticles. Additionally, Mendeley helps organize references according to various writing styles such as APA,MLA, Chicago, Vancouver, and IEEE. ChatGPT, on the other hand, is a natural language model that helpsgenerate structured and meaningful texts. In the context of scientific article creation, ChatGPT can assist informulating and organizing ideas or concepts, as well as providing suggestions or feedback for scientificwriting. Both of these software options can be chosen based on the needs and preferences of the writer. Theresults of this training, based on a survey using an online mentimeter, showed that it was very useful and theparticipants wanted to continue this training.
Co-Authors -, Sugeng Abdul Hafid Paronda Ali Djamhuri Andhica, Intan Yuli Argyawati, Harum Ekawati, Inna Fikri, Muhammad Ramadan Fitri Wijayanti Gunarti, Anita S S Harfadzi, Harfadzi Haryono Haryono Hendharsetiawan, Andy Achmad Herlawati Herlawati Hodijah, Nur Saqinah Jayadi, Asep Malikus Sumadyo Muarif, Muhammad Imam Nugroho, Retno Paryanti, Ninik Prima Dina Atika Rachmawan, Deny Rahmadya Trias Handayanto Retno Nugroho Whidhiasih Sani, Ahmad Liyas Saputro, Edwin Wicaksono SATRIYAS ILYAS Seta Samsiana Supian, Irfan Taufiqur Rokhman, Taufiqur