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Utilizing Linear Regression to Forecast Sales in RD.bag's Online Outlet Rudi Purnomo; Tutik Khotimah; Ahmad Jazuli
SAINTEKBU Vol. 16 No. 01 (2024): Vol. 16 No. 01 January 2024
Publisher : KH. A. Wahab Hasbullah University

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Abstract

This research aims to analyze the relationship between various variables and the sales performance of the RD.bag online store using sales data from the period of February 1, 2021, to January 31, 2023. The data collection phase involves retrieving data from Shopee and storing it in an Excel file format. The data is then cleansed of duplicates and irrelevant information in the data cleaning stage, followed by data transformation to tidy up datetime formats and create a dataframe. The analysis is carried out using the linear regression method to observe the relationship between independent and dependent variables. These analysis findings provide insights into the sales performance of the RD.bag online store and can aid in developing more effective marketing strategies. The study also presents suggestions for future research development, including adding variables, exploring advanced analysis methods, and conducting comparative analyses with other online stores in the same industry.
Utilizing Linear Regression to Forecast Sales in RD.bag's Online Outlet Rudi Purnomo; Tutik Khotimah; Ahmad Jazuli
SAINTEKBU Vol. 16 No. 01 (2024): Vol. 16 No. 01 January 2024
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to analyze the relationship between various variables and the sales performance of the RD.bag online store using sales data from the period of February 1, 2021, to January 31, 2023. The data collection phase involves retrieving data from Shopee and storing it in an Excel file format. The data is then cleansed of duplicates and irrelevant information in the data cleaning stage, followed by data transformation to tidy up datetime formats and create a dataframe. The analysis is carried out using the linear regression method to observe the relationship between independent and dependent variables. These analysis findings provide insights into the sales performance of the RD.bag online store and can aid in developing more effective marketing strategies. The study also presents suggestions for future research development, including adding variables, exploring advanced analysis methods, and conducting comparative analyses with other online stores in the same industry.
Implementation of Web-Based Inventory System With Email Notifications for Stock Efficiency and Project Management at CV Bonanza Naufal Meidhana Kenmahdy; Ahmad Jazuli; Esti Wijayanti
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/nggzee18

Abstract

Material inventory management at CV Bonanza is still conducted manually, leading to report delays and data inaccuracies. This research aims to design a web-based inventory information system to address these problems. This study employs the Waterfall model for the system development life cycle (SDLC). The requirements analysis phase (as the requirements baseline) was conducted qualitatively from February to April 2025 through structured interviews with 4 stakeholders (owner, admin, foreman, and project executor) and workflow observation (analysis of 50 transactions). The system was implemented using PHP Native and MySQL, with an innovation focus on stock-project management integration, event-driven email notifications (PHPMailer), and a project-check transparency feature. System testing used the Black Box Testing method, covering 55 test scenarios (encompassing 100% of functional requirements). Initial testing found 2 defects (a 3.6% failure rate), which were subsequently fixed, resulting in 100% of scenarios being declared "Valid" upon re-testing. The main outcome of this research is a system prototype that is functionally valid. Claims of "efficiency" and "accuracy" are limited to design targets, as this study was restricted to functional testing and did not include non-functional testing (such as performance, usability/SUS, or security) or quantitative post-implementation impact evaluation.