PERANCANGAN SISTEM INFORMASI PENJUALAN ROTI KURNI BAKERY BERBASIS WEB MENGGUNAKAN METODE WATERFALL
DOI:
https://doi.org/10.31000/jika.v7i3.8298Abstrak
Perancangan sistem informasi penjualan roti kurnia bakery berbasis web merupakan penelitian yang merancang proses penjualan roti ditempat tersebut. ROTI KURNI BAKERY adalah sebuah perusahaan Swasta mitra usaha yang bergerak pada sektor produksi pangan yang berupa roti, masih terdapat sistem yang manual dan belum terkomputerisasi hal ini menyebabkan beberapa masalah yang terjadi diantaranya proses pembuatan laporan membutuhkan waktu yang lama karena perlunya perekapan data terlebih dahulu, sehingga pegawai kesulitan ketika pencarian data. Untuk mengembangkan sistem tersebut dengan menggunakan Unified Modelling Language (UML) untuk pemodelannya sedangkan Waterfall digunakan sebagai metode pengembangan sistem dan PHP dipilih sebagai bahasa pemrograman dengan MySQL didalamnya. Kesimpulan dari penelitian ini perlu dan adanya suatu peningkatan mutu dan kualitas serta informasi yang sehingga dapat membantu meningkatkan mutu sistem dan diharapkan pada saat perancangan aplikasi sistem informasi penjualan Roti Kurni Bakery di buat rancanagan untuk penjualan berbasis web.Referensi
Apriana, V dan Nurhasanah, U (2021). Implementasi Metode Waterfall pada Sistem Informasi Penjualan Berbasis Web. Artikel Ilmiah Sistem Informasi Akuntansi (AKASIA). Vol 1, No 2, Oktober 2021, Hal 106-111.
Haq, G.M dan Anshori, I.F (2021). E-Commerce Penjualan Kue Berbasis Web pada Nurjanah Cake. E-Prosiding Teknik Informatika. Vol 2, No. 2. Desember 2021, Hal 173-180.
Hidayati, N (2019). Penggunaan Metode Waterfall dalam Rancang Bangun Sistem Informasi Penjualan. Generation Journal, Vol. 3, No.1. Januari 2019, Hal 1-10.
Hudaya, G., Supriatna, A.D dan Rahayu, S (2022). Sistem Informasi Penjualan Toko Kue Berbasis Web. Jurnal Algoritma. Institut Teknologi Garut. Vol. 19 No.1, Hal 323-332.
Ishak, R., Widyastuti, H dan Setiaji (2018). Rancang Bangun Sistem Informasi Penjualan Kue dan Roti Berbasis WEB Pada Yuki Bakery Jakarta. JURNAL SWABUDI, Vol. 6 No. 1. Maret 2018: Hal 27-34.
Kusumo, A.T, Triantori, C dan Komarudin, I (2021). Rancang Bangun Sistem Informasi Penjualan Berbasis Web pada Smooth-Tree dengan Metode Waterfall. Jurnal Sistem Informasi STMIK ANTAR BANGSA. Vol. X, No 02. Agustus 2021. Hal 82-88.
Manis, R., Setiyaningsih, W dan Kuswinardi, W (2021). Rancang Bangun Sistem Informasi Penjualan Laptop Berbasis Web dengan Metode Waterfall. RAINSTEK. Jurnal Terapan Sains & Teknologi. Vol 3, No. 3. Hal. 197-207.
Naufal, M.M.A., Hernawati, E dan Azna’a, M (2019). Aplikasi Penjualan Kue Berbasis Web Pada Toko Yanie’s Cake and Cookies. E-Proceeding of Applied Science: Vol. 5 No. 1, Aplril 2019, Hal 118-133.
Payuda, M.F., Hermawan, E dan Aldisetya, M (2020). Rancang Bangun Sistem Informasi Penjualan pada PT. Duta Perfume Berbasis Web Menggunakan Metode Sekuensial Linier. Jurnal Algoritma, Logika dan Komputasi. Vol 3, No. 1. 2020. Hal 229-237.
Ramdani, F.F dan Sari, Y (2023). Rancang Bangun Sistem Informasi Penjualan di Yakha Fashion Garut Berbasis WEB. Jurnal IKRAITH-INFORMATIKA, Vol 7, No 2, Juli 2023, Hal 11-22.
Rohmahtuloh, D dan Nugrahanti, F (2018). Rancang Bangun Sistem Penjualan Berbasis Website pada Toko Sepatu Nana Sport. Seminar Nasional Teknologi Informasi dan Komunikasi. Universita PGRI Madiun. 2018. Hal 138-142.
Setiawan, A.H dan Wijanarko, R (2021). Sistem Informasi Penjualan Roti Berbasis Web (Studi Kasus di CV Mams Bakery). Jurnal Informatika dan Rekayasa Perangkat Lunak. Vol 3, No 1, Maret 2021, Hal 52-60.
Taufiq, R., & Fahrozi, N. F. (2016). Perancangan Sistem Pendukung Keputusan (SPK) Pemilihan Kendaraan Alat Berat Tambang Batubara dengan Metode Analytical Hierarchy Process (AHP). Scientium, 3, 94–107.
Taufiq, R., Fajar, F.N., dan Septarini, R.S (2021). Rancang Bangun Sistem Informasi Posyandu Berbasis Web pada RW. 01 Desa Saga. Prosiding Simposium Nasional Multidisiplin. Universitas Muhammadiyah Tangerang. Volume 3, 2021. E-ISSN: 2714-5603.
Taufiq, R., Yafi., M.N., Permana, A.A dan Herdiansah, A (2021). Analisis Sistem Informasi Data Karyawan di PT. Astra Otopart. Tbk. Prosiding Simposium Nasional Multidisiplin. Universitas Muhammadiyah Tangerang. Volume 3, 2021.
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