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All Journal Jurnal Ilmiah Wahana Pendidikan
Nana Mulyana Maghfur
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Religion Education Social Sciences Other

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Analisis Penggunaan Data Sosial Media Untuk Penelitian: Studi Etika Dan Regulasi Informatika Sani Shalihamidiq; Nana Mulyana Maghfur; Rahmat Alfanza; Didi Juardi
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 17 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (197.047 KB) | DOI: 10.5281/zenodo.7081580

Abstract

Public data contained on social media is widely used by researchers, the data can be in the form of text, photos, videos to locations and hashtags created by social media users themselves. Many researchers use social media as a place to find data for free because the data is already public. However, ethically the use of data violates existing rules, because many social media users do not know that their data is used as research material. In this article, the author aims to analyze the ethics of researchers in using data sourced from public social media, as well as regulatory provisions regulated by the government and service providers on the use of data.
Peramalan Tren Produk Pakaian Menggunakan Metode SARIMA pada Data Google Trends Muhammad Hilmi Syarif; Nana Mulyana Maghfur; Budi Arif Dermawan
Jurnal Ilmiah Wahana Pendidikan Vol 9 No 8 (2023): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.7886616

Abstract

The development of the digital era is very rapid at this time there are so many technologies that are present in human life, one of which is e-commerce. Today's society is very dependent on what is called e-commerce, there are lots of transactions made every year from 2017 there are around 8,657 USD until 2021 which continues to increase to 53,808 USD. This is more or less influenced by advertisements scattered in cyberspace. In 2020, the 1st rank of the highest number of transactions is held by clothing products, so sellers from e-commerce need to be assisted with a recommendation system that displays the best time to display their advertisements. The process uses the time-series forecasting method using the SARIMA algorithm. This algorithm takes the trend of the season from the previous data, so it is very suitable for the cases mentioned earlier. The data retrieval processes up to deployment to the web system uses the CRISP-DM research method. The results of this study have a very good evaluation value, namely with an R2 of 0.36993 so that the model is good to use and in its implementation is a web system that takes the category and how long it will be predicted.
Co-Authors Budi Arif Dermawan Didi Juardi Muhammad Hilmi Syarif Rahmat Alfanza Sani Shalihamidiq