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All Journal Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika FARABI: Jurnal Matematika dan Pendidikan Matematika
Natalie, Karen
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Computer Science & IT Decision Sciences, Operations Research & Management Education Mathematics

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Analisis Data dalam Supply Chain Management: Klasifikasi dan Pemantauan Data Gudang PT Rajawali Nusantara Indonesia Natalie, Karen; Siregar, Bakti
FARABI: Jurnal Matematika dan Pendidikan Matematika Vol 7 No 1 (2024): FARABI
Publisher : Program Studi Pendidikan Matematika FKIP UNIVA Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/farabi.v7i1.705

Abstract

This internship report discusses the application of data analysis in supply chain management, with a focus on classification and monitoring of warehouse data at PT Rajawali Nusantara Indonesia. In this report, Excel and R Studio are adopted as data analysis tools to improve efficiency in warehouse management. This research covers two main aspects: first, implementation of a warehouse data classification system using R Studio and Excel to optimize the allocation and placement of goods. Second, using R Studio and Excel for real-time monitoring of warehouse activities, including item selection, delivery, and inventory conditions. Through an experimental approach and historical data analysis, this research evaluates the impact of using Excel and R Studio on operational efficiency and warehouse response speed. The results are expected to provide insight for companies in improving warehouse management.
ANALYZING THE INFLUENCE OF VARIOUS FACTORS ON GENERATION Z'S BEAUTY PRODUCT PURCHASE BEHAVIOR Natalie, Karen; Siregar, Bakti
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i3.743

Abstract

In the digital era, Generation Z predominantly relies on digital platforms to select beauty products, both local and international, significantly impacting their purchasing decisions. This study investigates the influence of social media marketing, brand awareness, quality, price, online customer reviews, and discounts on Generation Z’s purchasing behaviours using multiple linear regression and correlation coefficients, analysed with R Studio and SPSS Statistics 25. A quantitative approach was employed, utilizing a questionnaire to collect data from 213 respondents. The results indicate that for international beauty products, social media marketing, brand awareness, product quality, and discounts are significant predictors of purchase intention (R² = 0.832). Conversely, for local beauty products, the key factors influencing purchase decisions are quality, price, online customer reviews, and discounts (R² = 0.790). These findings highlight that the determinants of Generation Z’s purchasing decisions vary based on the product type. While international products are more influenced by marketing and branding, local products are more affected by price and customer feedback. These insights are crucial for beauty brands aiming to tailor their marketing strategies effectively to engage Generation Z.
Co-Authors Bakti Siregar