Analysis and design student entrepreneurship information system

Mukaromah, Siti; Pratama, Arista; Ithriah, Syurfah Ayu; Putra, Agung Brastama

doi:10.1088/1742-6596/1569/2/022045

Cited by 3 publications

(4 citation statements)

References 5 publications

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“…Upon the conclusion of the cluster testing phase, the subsequent task involves the development of the database for the application. This process entails the utilization of the Conceptual Data Model (CDM) and the Physical Data Model (PDM) [16][17].…”

Section: System Developmentmentioning

confidence: 99%

Sales Product Clustering Using RFM Calculation Model And K-Means Algorithm on Primskystore

Agussalim,

Rahayu Kusumaningtyas Paramita Wardhani,

Amalia Anjani

2023

Technium

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The optimization of data processing procedures can yield high-quality information that is then utilized by business owners in the decision-making process. An effective company plan, particularly in the realm of promotion, holds significant importance for store proprietors in order to foster sustained business expansion. Primskystore is an e-commerce platform operating inside the retail industry, where the efficacy of product sales promotion is perceived to be suboptimal. Sales product advertising continues to revolve around a single sort of product. The objective of this work is to develop a data mining model through the implementation of a web-based application that utilizes the K-means clustering approach and the RFM model. The utilization of the K-Means clustering approach and the RFM model can facilitate the clustering of sales products at retailers. The data mining application employed on this website utilizes the Python programming language, MySQL as the database, and the Unified Modeling Language for system model creation. The findings of this research encompass the development of a web-based data mining tool designed to present the outcomes of product sales clustering within retail establishments. The system has the capability to present the outcomes of the RFM calculation model and KMeans clustering. Specifically, it reveals the presence of three distinct clusters, with cluster 0 accounting for 30% of the data, cluster 1 representing 7.5% of the data, and cluster 2 encompassing 62.5% of the data. This web-based data mining program has the potential to assist retailers in determining an optimal promotional business strategy.

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Section: System Developmentmentioning

confidence: 99%

Sales Product Clustering Using RFM Calculation Model And K-Means Algorithm on Primskystore

Agussalim,

Rahayu Kusumaningtyas Paramita Wardhani,

Amalia Anjani

2023

Technium

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“…Untuk perancangan sistem menggunakan Data Flow Diagram (DFD) [11]. Implementasi tool untuk pembuatan sistem informasi menggunakan visual studio .Net [12]- [14].…”

Section: Pendahuluanunclassified

“…Pada CDM digambarkan entitas-entitas yang berelasi satu dengan entitas yang lain. Penggambaran entitas pada tahap ini berupa konseptual pemikiran manusia yang nantinya akan digenerate menjadi bentuk entitas yang terimplementasikan dalam database [10], [14], [18].…”

Section: A Conceptual Data Modelunclassified

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Perancangan dan Pengembangan Sistem Informasi berbasis Desktop dengan Pendekatan Perancangan Terstruktur

Mukaromah

Putra

Arifiyanti³

2020

santika

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Pembuatan aplikasi atau sistem informasi untuk membantu jalannya proses bisnis di perusahaan memerlukan tahapan dalam pembuatannya. Kendala selama perkuliahan yaitu mata kuliah yang terbagi menjadi beberapa bagian, dimana menyebabkan mahasiswa kurang memahami alur yang seharusnya dilakukan. Dalam artikel ini akan dibahas alur atau runtutan pembuatan sistem informasi berbasis desktop mulai dari perancangan database sampai dengan implementasi sistem menggunakan visual studio.

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Web applications in entrepreneurship: A systematic review of roles and perspective for future research directions

Abdhala,

Purnomo

2024

Procedia Computer Science

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Analysis and design student entrepreneurship information system

Cited by 3 publications

References 5 publications

Sales Product Clustering Using RFM Calculation Model And K-Means Algorithm on Primskystore

Sales Product Clustering Using RFM Calculation Model And K-Means Algorithm on Primskystore

Perancangan dan Pengembangan Sistem Informasi berbasis Desktop dengan Pendekatan Perancangan Terstruktur

Web applications in entrepreneurship: A systematic review of roles and perspective for future research directions

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