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All Journal Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Gusti Putu Wisnu Wardhana
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Humanities Computer Science & IT Engineering Other

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PEMBUATAN APLIKASI PROSES BISNIS, RISET KEBUTUHAN AUDIENS, SERTA PEMBUATAN LAMAN WEBSITE UNTUK PENINGKATAN EFISIENSI PROSES BISNIS I Gusti Putu Wisnu Wardhana; I Wayan Santiyasa; Ida Ayu Gde Suwiprabayanti Putra
Jurnal Pengabdian Informatika Vol. 3 No. 1 (2024): JUPITA Volume 3 Nomor 1, November 2024
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

This report documents a community service project focused on the socialization of business process automation applications at PT. The Nomads Group. The main objective of this activity was to enhance the operational effectiveness of the organization and strengthen audience engagement. This project encompassed three main areas: Automation Project, Data Project, and Website Support. Through survey methods, data analysis, and the development of automation solutions, this project successfully improved internal process efficiency and broadened understanding of audience needs.
Sistem Informasi Prediksi Penjualan E-Commerce Menggunakan Analisis Data Historis dan Algoritma MLR I Gusti Putu Wisnu Wardhana; I Wayan Santiyasa
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v01.i03.p15

Abstract

Accurate sales to improve business planning and decision making. This study aims to design an information system that utilizes historical data and multiple linear regression algorithms to predict e-commerce sales. This study addresses the current challenges in forecasting uncertain sales by analyzing historical sales data and identifying relevant independent variables, such as marketing efforts, economic factors, and customer behavior. Through the implementation of a multiple linear regression algorithm, the system calculates the relationship between these variables and sales, enabling accurate predictions. The proposed information system provides valuable insights for businesses to optimize inventory management, marketing strategy and resource allocation. The experimental results show the effectiveness of the system in forecasting e-commerce sales, resulting in increased operational efficiency and revenue. This research contributes to the field of e-commerce analytics and assists businesses in making data-driven decisions for sustainable growth. 
Co-Authors I WAYAN SANTIYASA Ida Ayu Gde Suwiprabayanti Putra