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All Journal MDP Student Conference Jurnal Penelitian Sistem Informasi
Dimas Irmansyah
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering

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Object Oriented Analysis and Design Aplikasi Pasar Online: TONPASAR Dimas Irmansyah; Aliya Zhafira Wastuyana; Elizabeth Alda Hermanto; Anindo Saka Fitri
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 2 No. 1 (2024): FEBRUARI : JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v2i1.1454

Abstract

As time goes by, traditional markets are starting to be abandoned by society because of the existence of modern markets, namely supermarkets, minimarkets and e-commerce. However, many goods can only be obtained in traditional markets and many of these goods are basic needs of society. Therefore, an application is needed that can facilitate traditional markets so that sellers and buyers are no longer abandoned, namely online market applications. The main aim of designing this application is to help traditional market sellers who were previously affected by a lack of buyers. Apart from that, this application can also benefit parties other than sellers, namely traditional market buyers who previously had problems accessing traditional markets or other obstacles. The design of this online market application uses the Object Oriented Analysis and Design (OOAD) method. By designing this application, it will really help traditional market sellers who were previously affected by a lack of buyers.
Implementasi AI Pada Sistem Enterprise Resource Planning: Systematic Literature Review Dimas Irmansyah; Rizka Hadiwiyanti; Anindo Saka Fitri; Ashari Imamuddin
MDP Student Conference Vol 5 No 2 (2026): The 5th MDP Student Conference 2026
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v5i2.15425

Abstract

The development of AI presents significant opportunities for ERP systems. While the opportunities presented by AI development are significant, organizations need to validate their implementation before implementing AI into their ERP systems. This study aims to determine how AI in ERP can improve business performance, the challenges and solutions in AI implementation, and the impact of AI implementation in ERP through a systematic literature review. The results demonstrate time, cost, and resource efficiencies through AI implementation in ERP. However, AI implementation presents challenges such as the quality and quantity of data required, architectural complexity, organizational readiness, and the model chosen for ERP implementation.
Co-Authors Aliya Zhafira Wastuyana Anindo Saka Fitri Ashari Imamuddin Elizabeth Alda Hermanto Rizka Hadiwiyanti