RANCANG BANGUN PROGRAM SISTEM MANAJEMEN PURCHASE ORDER PADA PT SURYAPRANA NUTRISINDO BERBASIS WEB

Authors

DOI:

https://doi.org/10.31000/jika.v6i3.5297

Abstract

 

Dalam pengolahan data Purchase Order masih dilakukan dengan cara manual sehingga membutuhkan waktu yang lama dalam proses perekapan data permintaan barang dan sulitnya memproses pesanan dari kantor cabang di daerah, juga sering terjadinya kehilangan ataupun kerusakan berkas yang tersimpan dalam arsip, penelitian ini bertujuan memfasilitasi staff departemen purchasing untuk mengelola data barang, data supplier, permintaan barang dari setiap departemen dan juga daerah serta riwayat pembelian yang telah dilakukan. Program ini dibuat dengan menggunakan metode pengembangan sistem  Software Development Life Cycle (SDLC) dengan model Rapid Application  Development (RAD). Pembangunan program ini berupa Website yang dapat diakses secara online oleh seluruh karyawan PT Suryaprana Nutrisindo di indonesia dan petugas dari departemen Purchasing. Program dibangun menggunakan Framework Flexurio.

References

Adam, Saputra, S.Si. (2019). Buku Sakti HTML, CSS & Javascript: Pemrograman Web Itu Gampang. Jogja: Anak Hebat Indonesia

Alex, Nordeen. (2020). Learn MongoDB in 24 Hours. Ahmedabad: Guru99

Annisa, R., Anna, M., & Erene GS. (2019). Sistem Informasi Persediaan Barang Pada Toko Mainan Nanda Toys Bekasi. Jurnal Teknologi Informatika & Komputer, 5(1). E-ISSN : 2622-8475 Retrieved from http://journal.thamrin.ac.id/index.php/jtik/article/view/246

Baihaqi., Rihan I & Dani A. (2018). Sistem Informasi Persediaan Barang Habis Pakai Berbasis SMS Gateway Pada Kantor Camat Seulimuem Kabupaten Aceh Besar. Jurnal Nasional Komputasi dan Teknologi Informasi, 1(1). P-ISSN : 2620-8342

Bona, Tua. (2018). Node.js Handbook Untuk Pemula. Medan: Bona Tua

Eko, Haryadi. (2019). Infrastruktur Jaringan Komputer dan VMware Untuk Mendukung Implementasi Manajemen Persediaan barang. Jurnal Sainstech. E-ISSN : 1410-7104

Fanny, A., Edison, S,. & Elidawati. (2019). Analisis Pengendalian Intern Persediaan Barang Dagang Pada PT Panca Kurnia Niaga Nusantara Medan. Jurnal Bisnis Kolega, 5(1). E-ISSN : 2621-8291

Fitri, Nur W., & Erni, Unggul SU. (2017). Analisis Sistem Pengendalian Persediaan Atas Barang Dagang Pada CV Sumber Alam Sejahtera Tegal. Jurnal MONEX, 6(2). E-ISSN : 2549-5046

Fitriawati, N., Herdiansah, A., & Gunawan, A. (2019). Sistem Informasi Program Keluarga Harapan Studi Kasus Kecamatan Kosambi Tangerang. Jurnal Teknik Informatika (JIKA) Universitas Muhammadiyah Tangerang, 3(2), 21–26.

Herdiansah, A. (2020). Sistem Pendukung Keputusan Referensi Pemilihan Tujuan Jurusan teknik Di Perguruan. Jurnal MATRIK, 19(2), 223–234.

Herdiansah, A., Handayani, N., & Kurniawan, A. (2019). Development of Decision Support Systems Selection of Employee Acceptance Using Weighted Product Method. Journal of Information System and Informatics, 1(2), 87–97

Hesti, Rian, & Septiyono Mugi Harjanto. (2020). Rancang Bangun Sistem Informasi Pembelian Barang Percetakan CV AKA Bekasi. Jurnal Teknologi Informatika dan Komputer MH Thamrin, 6(1). E-ISSN : 2622-8475 Retrieved from

Ina, Valerina., & Sinuraya. (2018). Sistem Informasi Persediaan Barang Dengan Metode FIFO Pada STMIK Kristen Neumann Indonesia. Jurnal Publikasi Ilmiah Teknologi Informasi Neumann. E-ISSN : 2685-1768

Jacob, Lett. (2018). Bootstrap 4 Quick Start: A Beginner’s Guide to Building Responsive Layouts with Bootstrap 4. Michigan: Bootstrap Creative

Jubilee, Enterprise. (2016). Pemrograman Bootstrap Untuk Pemula. Jakarta: Elex Media Komputindo

Sukamto, Rosa A dan Shalahuddin, M. (2018). Rekayasa Perangkat Lunak Terstruktur dan Berorientasi Objek Edisi Revis 2i. Bandung: Penerbit Informatik

Zufria, Ilk & Azhari, Hasan. 2017. “Web-Based Applications in Calculation of Family Heritage (Science of Faroidh)â€. Jurnal Sistem Informasi Vol.1 No.1: 2579-5341

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Published

2022-10-27

Issue

Vol. 6 No. 3 (2022): JIKA (Jurnal Informatika)

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