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All Journal JSiI (Jurnal Sistem Informasi) Prosiding Seminar Nasional Official Statistics
Salim Satriajati
Politeknik Statistika STIS
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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PEMBANGUNAN APLIKASI PENGUMPUL BERITA DARI MEDIA DARING MENGGUNAKAN WEB FRAMEWORK CODEIGNITER DAN FLASK Salim Satriajati; Ibnu Santoso
Jurnal Sistem Informasi Vol. 8 No. 2 (2021)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v8i2.3624

Abstract

Advances in information and communication technology today cause access to news to be faster. Gathering news from online media is important to support various interests. News collection also needs to be done automatically to be efficient and effective. So, in this research, a news collector application will be built to get some news from online news site. The application is built using two web frameworks, namely Codeigniter and Flask. In addition, the Python-based Scrapy package is also used as a tool for web crawling and web scraping. Black-box testing is used to evaluate system functionality. Based on the results of black-box testing, it can be concluded that all functions of the news collector application from online news site that have been created can run as expected by the researcher.
IMPLEMENTASI WEB SCRAPING DALAM PENGUMPULAN BERITA KRIMINAL PADA MASA PANDEMI COVID-19 Salim Satriajati; Satria Bagus Panuntun; Setia Pramana
Seminar Nasional Official Statistics Vol 2020 No 1 (2020): Seminar Nasional Official Statistics 2020
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (705.471 KB) | DOI: 10.34123/semnasoffstat.v2020i1.578

Abstract

Currently, there are many news sites that provide information related to events and phenomena. On the other hand, the Covid-19 pandemic gave rise to multidimensional crises and problems. One of them is the emergence of crime in the community. This study aims to collect news on crimes that occurred during the Covid-19 pandemic from news sites. The collection of information from news sites uses web scraping techniques. Web scraping is a technique of extracting information from websites. Then, the news that has been collected can be analyzed regarding the possible trend of criminal incidents along with the trend of the Covid-19 pandemic in Indonesia. The news site used in this study is detik.com. Based on the Alexa Internet site (alexa.com), detik.com is one of the most frequently accessed news sites and included in the top 10 websites with the highest traffic in Indonesia. Meanwhile, data of Covid-19 in Indonesia comes from the KawalCOVID19.id website. The results showed that the number of criminal news reports and the number of confirmed cases of Covid-19 had the same daily trend, which was increasing. Based on this research, it can be concluded that web scraping can be implemented to gather news. The results of web scraping can then be used to find out the trend of the number of daily criminal news which is then compared with the daily trend of the number of confirmed cases of Covid-19 in Indonesia.
Co-Authors Ibnu Santoso Satria Bagus Panuntun Setia Pramana