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All Journal Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal of Science and Society (IJSOC)
Yani Prihati
Universitas AKI, Semarang, Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Materials Science & Nanotechnology Social Sciences

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Machine Learning Implementation for Profit Estimation Alexander Dharmawan; Tri Purwani; Yani Prihati; Christina Priscilla Putri
International Journal of Science and Society Vol 5 No 2 (2023): International Journal of Science and Society (IJSOC)
Publisher : GoAcademica Research & Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/ijsoc.v5i2.708

Abstract

The company must have a unique strategy to help grow its business. One of the ways to strengthen the company's business is by estimating the company's profit. This is because with an estimated profit, the company can manage the transactions made. Some companies still use a manual profit determination process that requires several steps. Processes that are carried out manually result in a long time, which can cause delays in completing tasks and results that are less accurate than desired. Multiple linear regression is an algorithm used to determine the relationship between the dependent variable and at least two independent variables. This algorithm is a type of supervised learning algorithm that develops estimation models based on input data. The use of this algorithm is included in part of machine learning. Implementation of machine learning to calculate company profit estimates using the Python programming language. From the estimation results using multiple linear regression and Python programming, the result is that multiple linear regression can be utilized or used to predict company profits. 98% of Profit is influenced by independent factors, namely R&D Spend and Marketing Spend, while the remaining 2% is influenced by variables that are not included in this calculation.
Sistem Inventori Berbasis Web Pada Andika Sumbermulya Alea Putri Soraya; Yani Prihati; Ana Wahyuni
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 11, No 1 (2026): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v11i1.940

Abstract

Relying on manual techniques for inventory control often produces inefficiencies in operational processes, particularly related to inaccurate inventory documentation, errors in reports, and even difficulties in detecting the entry and exit of goods. These problems are also experienced by Toko Andika Sumbermulya, where the process of recording data on goods, inventory, and transactions has not been computerized. The main goal of this research is to implement a web-based inventory system that assists in managing inventory more efficiently and reliably, and ensures that product data is managed accurately and effectively. The research methodology consists of requirement analysis, system design, implementation, and evaluation through system testing. A structured development approach was adopted, utilizing system models, use case diagrams, activity diagrams, and database design techniques, to describe system processes, such as process flow directions and data sources. This web-based inventory information system is easily accessible and is designed and built with several functions, such as a data management system for goods, data categories, suppliers, incoming and outgoing goods transactions, and automatic stock reports. As a result, this research contributes valuable insights and practical benefits for the development of web-based inventory systems a web-based inventory system can help store owners and managers monitor inventory in real time and minimize the possibility of inventory recording errors. When the application was created, it was designed to be web-based so that it could be easily accessed through devices connected to the internet. The findings demonstrate that the inventory management process operates more effectively with the implemented system at Andika Sumermulya Store has become a structured and well-documented inventory management process.
Dampak Penerapan ODOO ERP Terhadap Kinerja Supply Chain Management Pada PT Anugrah Jaya Group Femas Galang Samudra Amsa; Yani Prihati; Ana Wahyuni
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.927

Abstract

Companies in the digital era need to integrate business processes to improve efficiency and competitiveness. Odoo is an open-source Enterprise Resource Planning (ERP) platform that provides integrated solutions for managing diverse operational functions, including Supply Chain Management (SCM). The implementation of Odoo ERP at PT Anugrah Jaya Group, a company engaged in the sale of gadget accessories, has proven to enhance inventory management efficiency, accelerate order processing, and improve reporting accuracy. The system also reduces the risk of supply delays and strengthens coordination among departments within the supply chain. This system design utilizes Unified Modeling Language (UML) to visualize business process flows and ensure optimal integration. Therefore, Odoo ERP contributes positively to improving SCM performance and serves as a strategy that supports the sustainability of business processes at PT Anugrah Jaya Group.
Co-Authors Alea Putri Soraya Alexander Dharmawan Ana Wahyuni Christina Priscilla Putri Femas Galang Samudra Amsa Tri Purwani, Tri