Sistem Informasi Kalkulasi Bahan Baku Berbasis Mobile pada PT. Sari Burger Indonesia
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PT. Sari Burger Indonesia, with one of its branches, is located at Jl. Teuku Umar, Level 21 Shopping Mall, Denpasar Bali. In realizing the company's goals by simplifying the process of calculating raw materials to be purchased by the company, there is a manager or, more precisely, an assistant manager in charge of calculating the raw materials to be purchased. This system is made using Data Flow Diagrams (DFD) design; this system is made based on Android, using android studio software, and with the help of Firebase, which has many readily available features, besides that this system uses the SMA (Single Moving Average) method. , this method is used during the forecasting calculation process. With this system, the goal of calculating the number of raw materials to be purchased becomes easier. The calculation process that was previously manual can now be easier to use a computerized system based on Android because the data inputted will be stored in the system in performing calculations. In addition, calculations that have been saved can also be downloaded using a file with a pdf extension. The system can also forecast the remaining stock, which will be used in estimating the amount of stock remaining next month.
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References
[2] Y. Afrianto, N. Br Ginting, S. Suratun, and Y. Nelawati, “Sistem Informasi Inventory P.O.S (Point of Sales) Berbasis Web Pada Counter Cellular,” JURTEKSI (Jurnal Teknol. dan Sist. Informasi), vol. 6, no. 2, pp. 125–134, 2020.
[3] M. Palevi, O., Mulyani, A., & Khoir, “Sistem Informasi Inventori Barang Menggunakan Metode Object Oriented Di Pt. Livaza Teknologi Indonesia Jakarta. PROSISKO: Jurnal Pengembangan Riset Dan Observasi Sistem Komputer, 5(1), 27–35,” Pt. Livaza Teknol. Indones. Jakarta, vol. 5, no. 1, pp. 27–35, 2018.
[4] F. Sulaiman, F. Sulaiman, and N. Nanda, “Pengendalian Persediaan Bahan Baku Dengan Menggunakan Metode Eoq Pada Ud. Adi Mabel,” J. Teknovasi J. Tek. dan Inov., vol. 2, no. 1, pp. 1–11, Feb. 2018.
[5] F. Fauziah, Y. I. Ningsih, and E. Setiarini, “Analisis Peramalan (Forecasting) Penjualan Jasa Pada Warnet Bulian City di Muara Bulian,” Eksis J. Ilm. Ekon. dan Bisnis, vol. 10, no. 1, pp. 61–67, Aug. 2019.
[6] Y. M. Idah, D. A. Riyanto, and D. N. E. Ardini, “Analisis Peramalan Penjualan Menggunakan Metode Moving Average pada Nabila Furniture Paguyangan Brebes,” CITISEE, 2019.
[7] R. Rachman, “Penerapan Metode Moving Average Dan Exponential Smoothing Pada Peramalan Produksi Industri Garment,” J. Inform., vol. 5, no. 2, pp. 211–220, Sep. 2018.
[8] A. Kumila, B. Sholihah, E. Evizia, N. Safitri, and S. Fitri, “Perbandingan Metode Moving Average dan Metode Naïve Dalam Peramalan Data Kemiskinan,” JTAM (Jurnal Teor. dan Apl. Mat., vol. 3, no. 1, pp. 65–73, Apr. 2019.
[9] E. Maiyana, “Pemanfaatan Android Dalam Perancangan Aplikasi Kumpulan Doa,” J. Sains dan Inform. Res. Sci. Inform., vol. 4, no. 1, pp. 54–65, Apr. 2018.
[10] F. Soufitri, “Perancangan Data Flow Diagram Untuk Sistem Informasi Sekolah (Studi Kasus Pada Smp Plus Terpadu),” Ready Star, vol. 2, no. 1, pp. 240–246, 2019.
[11] P. Sugiartawan, P. I. Prakoso, and I. M. G. Aryawan, “Penentuan Desa Wisata Terbaik di Kabupaten Tabanan dengan Model AHP dan BORDA,” J. Sist. Inf. dan Komput. Terap. Indones., vol. 2, no. 1, pp. 177–186, 2019.
[12] I. Pratistha and P. Mahadewa, I Putu Agung Sugiartawan, “Sistem Pendukung Keputusan Kelompok Pemilihan e-commerce/marketplace menggunakan metode profile matching dan BORDA,” J. Sist. Inf. dan Komput. Terap. Indones., vol. 1, pp. 13–24, 1AD.
[13] P. Sugiartawan and P. I. Prakoso, “Sistem Pendukung Keputusan Kelompok Promosi Jabatan dengan Metode AHP dan BORDA,” J. Sist. Inf. dan Komput. Terap. Indones., vol. 1, no. 4, pp. 185–194, 2019.
