Sahruni, Muhamad (2021) Penerapan Single Moving Average Untuk Prediksi Stok Barang Berbasis Web ( Studi Kasus : Ryan Vape Store ). S1 Teknik Informatika thesis, STMIK Widya Cipta Dharma.
![[img]](http://repository.wicida.ac.id/style/images/fileicons/text.png) |
Text
1743046-S1-Teknik Informatika.pdf Restricted to Repository staff only Download (3MB) | Request a copy |
|
Text
1743046 - S1 - JURNAL.pdf Restricted to Repository staff only Download (660kB) | Request a copy |
Abstract
Ryan Vape Store merupakan salah satu Toko Vape beralamat di jalan Daeng Mangkona No.271, Baqa, Kec. Samarinda Seberang, Kota Samarinda, Kalimantan Timur - Indonesia. Dalam pengelolaan prediksi stok barang pada Ryan Vape Store masih belum ada. Oleh karena itu diperlukan suatu aplikasi agar lebih mudah dan praktis saat dicari kembali arsip tersebut. Metode pengumpulan data yang digunakan dengan melakukan observasi dan melakukan wawancara kepada owner Ryan Vape Store dengan memberikan pertanyaan-pertanyaan yang berkaitan pada Penerapan Single Moving Average Untuk Prediksi Stok Barang Berbasis Web (Studi Kasus : Ryan Vape Store), pengembang sistem waterfall, metode analisis data, analisis kebutuhan, analisis teknologi dan analisis user, analisis perancangan sistem menggunakan Flowchart dan pengujian sistem menggunakan pengujian Blackbox dan Whitebox. Hasil penelitian menunjukan bahwa dibuatnya aplikasi prediksi stok barang. Pengguna dapat menginputkan data kategori barang, barang dan transaksi penjualan, kemudian sistem akan mengolah data tersebut. Setelah data diinput, maka sistem akan menampilkan hasil prediksi stok barang pada setiap barang. ============================================================================ Ryan Vape Store is one of the Vape Stores located at Jalan Daeng Mangkona No. 271, Baqa, Kec. Samarinda Seberang, Samarinda City, East Kalimantan - Indonesia. In the management of stock predictions at the Ryan Vape Store, there is still no stock. Therefore we need an application to make it easier and more practical when searching for the archive. The data collection method used is by observing and conducting interviews with the Ryan Vape Store owner by providing questions related to the Application of Single Moving Average for Web-Based Stock Prediction (Case Study: Ryan Vape Store), waterfall system developer, data analysis method , needs analysis, technology analysis and user analysis, system design analysis using Flowcharts and system testing using Blackbox and Whitebox testing. The results showed that the stock prediction application was made. Users can input data on categories of goods, goods and sales transactions, then the system will process the data. After the data is inputted, the system will display the predicted results of the stock of goods for each item.
| Item Type: | Thesis (S1 Teknik Informatika) |
|---|---|
| Additional Information: | Pembimbing 1 : Siti Lailiyah, S.Kom., M.Kom. Pembimbing 2 : Amelia Yusnita, S.Kom., M.Kom. |
| Uncontrolled Keywords: | Teknik, Informatika, Single Moving Average, Prediksi Stok Barang |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Teknik Informatika |
| Depositing User: | Mr Muhamad Sahruni |
| Date Deposited: | 20 Aug 2021 02:33 |
| Last Modified: | 20 Aug 2021 02:33 |
| URI: | http://repository.wicida.ac.id/id/eprint/3856 |
Actions (login required)
 |
View Item |
