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Journal : JISICOM (Journal of Information System, Infomatics and Computing)

Sistem Informasi Penjualan Jersey Berbasis Web Dengan Menggunakan Agile Software Development Achmad Maezar Bayu Aji; Rizki Aulianita; Baginda Oloan Lubis
Journal of Information System, Informatics and Computing Vol 5 No 2 (2021): JISICOM: December 2021
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v5i2.637

Abstract

Proses penjualan pada umumnya dilakukan dengan bertemu langsung antara pelanggan dan penjual. Proses ini lazim dilakukan karena pada dasarnya selama ini dilakukan seperti itu. Pada saat ini, Toko Jersey Jakarta belum menggunakan fasilitas internet sehingga kesulitan dalam menawarkan produk kepada pelanggan yang berada di luar kota. Metode Agile adalah salah satu metode pengembangan perangkat lunak yang paling efektif dan tangkas. Metode ini memiliki cara untuk menjadi pemodel yang efektif, tetapi tidak mendefinisikan langkah-langkah rinci untuk membuat jenis model tertentu. Tujuan dari penelitian ini mampu menyelesaikan permasalahan bagaimana merancang sebuah sistem informasi penjualan berbasis website yang mampu mempermudah penyebaran informasi produk, memudahkan penjualan tanpa harus datang ke lokasi Toko Jersey Jakarta, serta pembuatan laporan yang tepat dan akurat dan kontrol pemilik Toko Jersey Jakarta dapat dengan website
Sentiment Analysis Of Public Opinions On The Effectiveness Of Online Learning Using Naïve Bayes Algorithm Ratna Pinka Baptis Dakhi; Achmad Maezar Bayu Aji
Journal of Information System, Informatics and Computing Vol 6 No 1 (2022): JISICOM: June 2022
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v6i1.822

Abstract

Covid-19 was declared a global pandemic by the World Health Organization (World Health Organization) on March 11, 2020. This has resulted in the government urging the public not to carry out activities outside the home which is an effort to break the chain of spreading Covid-19. Activities that were suddenly stopped had a negative impact on the community. Starting from the decline in economic growth to the lagging of students in studying. The Covid-19 pandemic has had an impact on various perspectives of human life today, especially in the field of education. So that the teaching and learning process continues. All students are required to study at home online or online. However, online learning raises pros and cons among the public, so research needs to be done to analyze public sentiment about online learning and find out the effectiveness of online learning during the Covid-19 pandemic by utilizing Twitter as a source of data to be researched. Based on the results of the analysis of public opinion sentiment about online learning using the Naïve Bayes Classifier algorithm with Rapidminer as the software used in data processing, the accuracy value is 60.00% with 65.67% precision and 53.30% recall