PELS (Procedia of Engineering and Life Science)
Vol. 10 No. 1 (2026): Proceedings of the 9th Seminar Nasional Sains 2026

Data Science Integration For Corporate Inventory Forecasting And Profitability Expansion: Integrasi Data Science Untuk Prakiraan Inventaris Perusahaan Dan Perluasan Profitabilitas

Mohammad Krisna Rifkiansyah (Universitas Muhammadiyah Sidoarjo)
Suprianto (Universitas Muhammadiyah Sidoarjo)



Article Info

Publish Date
20 Oct 2026

Abstract

Data science has become one of the main focuses in the development of corporate strategies in today's digital era. Through the utilization of big data and advanced analytical techniques, companies can make better decisions and improve operational efficiency. However, although companies already have access to large volumes of data, many still face challenges in optimizing its use to improve business performance. This study aims to analyze and measure the impact of data science implementation in improving company performance, by identifying how companies implement data science technology, evaluating the effect of data science implementation on key performance aspects of the company, strategic decision making, and optimization of resource use. The methods used are data collection techniques and data analysis techniques. The results of this study indicate a significant improvement in the company's performance after implementing data science in various operational and strategic aspects. Overall, the results show that the implementation of data science makes a significant contribution to improving company performance in various aspects, including operational efficiency, strategic decision-making, and customer satisfaction.

Copyrights © 2026






Journal Info

Abbrev

PELS

Publisher

Subject

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

Description

PELS (Procedia of Engineering and Life Science) is an international journal published by Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo. The research article submitted to this online journal will be double blind peer-reviewed (Both reviewer and author remain anonymous to each ...