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All Journal Jurnal Teknologi Terpadu AMMA : Jurnal Pengabdian Masyarakat
Nur Azizah
Politeknik Negeri Padang
Humanities Chemistry Computer Science & IT Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing

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Model Regresi Linear untuk Efisiensi Stok dan Prediksi Kebutuhan Bawang Putih Kupas UMKM Weri Sirait; Nur Azizah; Rahmat Hidayat
Jurnal Teknologi Terpadu Vol 11 No 2 (2025): Desember, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v11i2.2560

Abstract

The demand for peeled garlic at the Gilingan Bakso Barokah business tends to fluctuate and be difficult to predict. Inaccurate daily stock determination often leads to problems, especially when peeled garlic stock is excessive while demand is low. Peeled garlic will yellow, rot, and degrade in quality, while customers expect it to be fresh. To overcome this problem, this study aims to predict daily peeled garlic requirements using a simple linear regression model. The data used are daily sales records for peeled garlic from January to December 2024 at Gilingan Bakso Barokah. The linear regression model was built using time as the predictor variable to estimate daily sales trends. The results show that the model is capable of providing reasonably accurate estimates, with a Mean Squared Error (MSE) of 8.93 and a validation score of 9.03. The prediction model projects the peeled garlic requirement over the next 30 days at around 16 kg per day. These findings can help business owners manage peeled garlic stock more efficiently, minimize waste, and maintain customer satisfaction. This research provides an initial, stable, and reliable predictive model for the Gilingan Bakso Barokah business, while simultaneously demonstrating the effectiveness of simple linear regression for the daily management of fresh raw material stocks, with an accuracy level of MSE ≈ 9.
Optimalisasi Kompetensi Mahasiswa Bisnis Digital Melalui Kunjungan Dan Kolaborasi Dengan RLA Creative & Digital Marketing Agency Nur Azizah; Zulfitri Yani; Siti Azzahra
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 6 : Juli (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

This community service activity aims to enhance the practical competencies of students in the D4 Digital Business Study Program through a field visit to RLA Creative & Digital Marketing Agency. Designed to bridge classroom learning with the real-world demands of the digital industry particularly in digital marketing this initiative provides students with hands-on experiences through direct observation, interactive discussions, and presentations by industry professionals. The activity offers contextual and practical insights into digital marketing strategies, content management, and brand development. The outcomes indicate an improved understanding among students of the dynamics within the creative digital industry, while also paving the way for sustainable collaborations, such as internship programs, industry-based projects, and curriculum development aligned with market needs. This initiative serves as a strategic effort to foster synergy between higher education institutions and the industry in producing competent graduates who are well-prepared to meet the challenges of the digital era.
Co-Authors Rahmat Hidayat Siti Azzahra Weri Sirait Zulfitri Yani