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All Journal JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Cerdika: Jurnal Ilmiah Indonesia
Riyanto Jayadi
Universitas Bina Nusantara
Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Public Health Social Sciences

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QUALITATIVE CASE STUDY OF CRITICAL SUCCESS FACTOR IN THREE ERP IMPLEMENTATION PROJECTS Mellyuni Sitinjak; Riyanto Jayadi
Journal of Information System Management (JOISM) Vol. 4 No. 2 (2023): Januari
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2023v4i2.991

Abstract

The COVID-19 pandemic has tremendously impacted every aspect of life worldwide. The ERP implementation project also experienced a considerable impact because each stage of the process was carried out online (limited face-to-face meetings). Project management's unpreparedness in implementing the COVID-19 pandemic is one of the critical success factors discussed in this study. This study presents three qualitative case studies and tries to identify what caused an issue in ERP project implementation during the COVID-19 pandemic by comparing the alignment of PMBOK literature to project methodology practices. This study found that several factors do not meet the lack of efficiency standards based on ERP project implementation standards (SAP Methodology). These factors affect project targets in the main characteristics of each SAP ERP implementation step, namely data integrity and best practices. PMO requires commitment from each stakeholder to carry out project activities according to plan. Project evaluations must be carried out periodically so PMO can still complete the project according to plan. Keywords: Project Management, Project Methodology, PMBOK, ERP, Critical Success Factor
Market Basket And Time Series Analysis: Case Study PT XYZ Sales Data Muhammad Wildan; Moh Thaha Rizieq Hentihu; Riyanto Jayadi
Cerdika: Jurnal Ilmiah Indonesia Vol. 5 No. 2 (2025): Cerdika: Jurnal Ilmiah Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/cerdika.v5i2.2496

Abstract

PT. XYZ is a retail company that has been operating since 2015 in New York, which seeks to increase sales through attractive package bidding strategies and ensuring stock availability for the following month's highest-selling items. The project aims to analyze and forecast the items that will have the highest sales as well as provide package recommendations that can increase sales. The analysis was carried out using a machine learning model, with the Market Basket Analysis (MBA) method for package recommendations and the Auto Regressive Integrated Moving Average (ARIMA) for sales predictions. The results of the analysis show that the "USB-C Charging Cable" and "Bose SoundSport Headphones" have a strong association with the "Vareebadd Phone", which indicates the potential for increased sales if offered together. In addition, ARIMA's predictions suggest that the MacBook Pro Laptop will generate the highest revenue, with an average projection of around $788,067.45. Based on these findings, we recommend PT. XYZ is preparing a package offering for the Vareebadd Phone with USB-C Charging Cable and Bose SoundSport Headphones, as well as preparing stock for the MacBook Pro Laptop, to meet market demand and maximize revenue potential.
Co-Authors Mellyuni Sitinjak Moh Thaha Rizieq Hentihu Muhammad Wildan