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Customer Profilling for Precision Marketing using RFM Method, K-MEANS algorithm and Decision Tree Budilaksono, Sularso; Jupriyanto, Jupriyanto; Suwarno, M.Anno; Suwartane, I Gede Agus; Azhari, Lukman; Fauzi, Achmad; Mahpud, Mahpud; Mariana, Novita; Effendi, Maya Syafriana
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 2B (2021): Article Research October 2021
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v6i1.11225

Abstract

Precision marketing is the companys ability to offer products specifically made to customers. This decision can give the company the ability to attract customers to always buy continuously. This study presents a trend model for accurately predicting monthly supply quantities / The method used in the first stage is the RFM (Recency, Frequency, Monetary) method for selecting attributes to group customers into different groups. The output of the first stage is clustered using the K-Means Algorithm. The output of clustering is then classified using the Decision Tree and compared with the K Nearest Neighbor method. The dataset that is processed is sales data from Syifamart As-Syifa Boarding School in Subang with 351,158 rows of data. The clustering process produces 4 optimal clusters. The four clusters are then classified using the Decision Tree algorithm to determine the potential and non-potential characteristics of each customer.
PENGEMBANGAN SISTEM POINT OF SALES BERBASIS WEB PADA APOTIK KLINIK BIDAN NINGSIH Ramadhani, Ryan Zulham; Herdiansah, Arief; Mahpud, Mahpud; Febriyanti, Indah
Jurnal Informatika Vol 7, No 4 (2023): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v7i4.9591

Abstract

Klinik Bidan Ningsih merupakan klinik praktek mandiri yang telah beroprasi selama 30 tahun. Klinik bidan Ningsih tentunnya bergerak pada bidang Kesehatan yang di fokuskan untuk Ibu dan Anak. Pada saat ini sistem pencatatan stok, perhitungan stok, dan pembuatan laporan-laporan yang berkaitan dengan transaksi lainnya seperti laporan penjualan dan laporan pembelian pada Klinik Bidan Ningsih masih menggunakan cara manual, dimana hal tersebut sering memunculkan beberapa masalah, seperti ketidak akuratan data, hilangnya buku pencatatan, dan tentunya memakan waktu yang lama. Tujuan laporan tugas akhir ini ditulis untuk memfasilitasi pelayanan Klinik Bidan Ningsih dengan sebuah sistem informasi penjualan yang akan membantu mempersingkat waktu pencatatan stok, perhitungan stok, dan pembuatan laporan agar operasional klinik bisa berjalan lebih efektif. Sistem ini dibuat dengan menggunakan metode Rapid Application Development (RAD). Adapun hasil dari penelitian ini menghasilkan sistem informasi penjualan berbasis Website yang diharapkan dapat memberikan solusi atas masalah yang terjadi dan meningkatkan kinerja klinik Bidan Ningsih itu sendiri
Pengembangan Sistem Self Ordering Mimi Cakes and Cookies Berbasis Web Dengan Metode Rapid Application Development (RAD) Herdiansah, Arief; Ramadhani, Ryan Zulham; Mahpud, Mahpud; Frithadila, Najmah
Computer Science (CO-SCIENCE) Vol. 4 No. 2 (2024): Juli 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i2.2996

Abstract

The food order recording system can cause errors in recording orders, lose data and require a lot of time in the process of recording and reporting orders. Product marketing carried out using social media requires sellers to upload product photos one by one so that buyers can see them. This is more troublesome if the ordering process is carried out conventionally. This research is applied research on the development of a food ordering information system with a self-ordering concept which can be an alternative solution to replace conventional food ordering systems. This research was conducted at Mimi Cakes & Cookies MSME, which currently still uses conventional methods in the process of recording pre-orders for the food it sells. This research uses the Rapid Application Development (RAD) development method. The system was developed using the PHP Framework Codelgniter programming language with the VS Code text editor. The system development results were tested using the black box testing method. The results of this research produce a pre-order system with a Web-based self-ordering concept that can provide a solution to the problem of recording and reporting orders for Mimi Cakes & Cookies MSMEs. The system developed has also caused the number of orders for Mimi Cakes and Cookies to increase by 20%
Pengembangan Sistem Self Ordering Mimi Cakes and Cookies Berbasis Web Dengan Metode Rapid Application Development (RAD) Herdiansah, Arief; Ramadhani, Ryan Zulham; Mahpud, Mahpud; Frithadila, Najmah
Computer Science (CO-SCIENCE) Vol. 4 No. 2 (2024): Juli 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v4i2.2996

Abstract

The food order recording system can cause errors in recording orders, lose data and require a lot of time in the process of recording and reporting orders. Product marketing carried out using social media requires sellers to upload product photos one by one so that buyers can see them. This is more troublesome if the ordering process is carried out conventionally. This research is applied research on the development of a food ordering information system with a self-ordering concept which can be an alternative solution to replace conventional food ordering systems. This research was conducted at Mimi Cakes & Cookies MSME, which currently still uses conventional methods in the process of recording pre-orders for the food it sells. This research uses the Rapid Application Development (RAD) development method. The system was developed using the PHP Framework Codelgniter programming language with the VS Code text editor. The system development results were tested using the black box testing method. The results of this research produce a pre-order system with a Web-based self-ordering concept that can provide a solution to the problem of recording and reporting orders for Mimi Cakes & Cookies MSMEs. The system developed has also caused the number of orders for Mimi Cakes and Cookies to increase by 20%
RANCANG BANGUN APLIKASI KEAMANAN DATA PADA MEDIA VIDEO STEGANOGRAFI DENGAN MENGGUNAKAN METODE END OF FILE BERBASIS JAVA DI CV LESTARI ELECTRIC mahpud, mahpud
Jurnal Dinamika UMT Vol 8, No 1 (2023)
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/dinamika.v8i1.9656

Abstract

CV Lestari Electric memiliki data rahasia, salah satunya data stok fast moving barang, data inventory perusahaan , daftar gaji, daftar penerimaan yang tidak boleh diketahui oleh pihak lain. Jika informasi tersebut diketahui oleh orang yang tidak bertanggung jawab akan menimbulkan kerugian bagi perusahaan, sehingga CV Lestari Electric membutuhkan suatu aplikasi yang mengamankan data tersebut. Aplikasi tersebut menggunakan algoritma steganografi EOF (End Of File), dengan bahasa pemrograman Java berbasis desktop. Algoritma EOF digunakan karena memiliki kapasitas jumlah karakter pesan yang tidak terbatas pada saat disisipkan. Data yang dapat dienkripsi dan disisipkan berupa text dan gambar, sedangkan untuk file penampung data tersebut berupa file video yang berjenis .mp4. Berdasarkan hasil uji coba yang dilakukan, aplikasi ini mampu memproses file yang ingin disisipkan dengan ukuran maksimal sebesar 5 MB dan maksimal ukuran file penampung berupa video sebesar 30 MB. Dan aplikasi ini membantu dalam menjaga kerahasiaan data / informasi pada perusahaan sehingga tidak dapat diketahui oleh orang yang tidak bertanggung jawab. Kata kunci : Steganografi EOF( End Of File), Keamanan Data, CV Lestari Electric.