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All Journal JEBDEKER: Jurnal Ekonomi, Manajemen, Akuntansi, Bisnis Digital, Ekonomi Kreatif, Entrepreneur Jurnal Sains, Teknologi dan Komputer Economic: Journal Economic and Business
Tumangger, Emya Malum Karina
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Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Social Sciences

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Penggunaan NLP dalam Analisis Sentimen untuk Meningkatkan Kepuasan Pelanggan pada Pengguna E-commerce: Lazada Toruan, Anjel Monika Lumban; Panjaitan, Bonjovi Marselino; Tumangger, Emya Malum Karina; Ulfa, Rahma Nadila; Panjaitan, Gabriella Dominggoes
Jurnal Sains, Teknologi & Komputer Vol. 1 No. 1 (2024): Jurnal Sains, Teknologi & Komputer (SAINTEK)
Publisher : Lembaga Riset Mutiara Akbar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/saintek.v1i1.452

Abstract

The rapid growth of e-commerce in Indonesia has increased competition in this industry. To retain customers and win the competition, e-commerce platforms need to deeply understand customer needs and wants. One way to understand customer sentiment is to use NLP and sentiment analysis. This research aims to analyze the influence of NLP: Sentiment Analysis in increasing customer satisfaction among e-commerce users: Lazada. This research uses quantitative methods with a survey approach. Data is collected by: Collecting reviews and comments from Lazada customers on platforms and social media. Analyze data using NLP techniques: Sentiment Analysis to identify customer sentiment. Conduct statistical analysis to determine the relationship between customer sentiment and customer satisfaction. The research results show that there is a significant relationship between customer sentiment and Lazada customer satisfaction. Customers who are satisfied with Lazada's services tend to give positive reviews. These positive reviews can help Lazada to understand customer needs and wants. This can be used to improve the quality of Lazada products and services, as well as provide a better customer experience. Here are some of the benefits of NLP: Sentiment Analysis in increasing customer satisfaction: Helping e-commerce players to understand customer needs and desires, helping e-commerce players to identify problems faced by customers, helping e-commerce players to improve the quality of products and services, helping e-commerce players to provide a better customer experience. Therefore, e-commerce players can utilize NLP: Sentiment Analysis to increase customer satisfaction and increase their business competitiveness.
Pengaruh Biaya Pemasaran dan Biaya Pengembangan Teknologi Terhadap Biaya Operasional (Studi Kasus: Netflix) Agnes Irene Silitonga; Silitonga, Agnes Irene; Panjaitan, Gabriella Dominggoes; Tumangger, Emya Malum Karina; Hafiz, Fahrul Al-hamdi; Ginting, Lisa Melvi
Jurnal Ekonomi, Manajemen, Akuntansi, Bisnis Digital, Ekonomi Kreatif, Entrepreneur (JEBDEKER) Vol 5 No 1 (2024): Desember 2024
Publisher : Sekolah Tinggi Ilmu Ekonomi Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56456/jebdeker.v5i1.663

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh biaya pemasaran dan pengembangan teknologi terhadap biaya operasional dengan studi kasus Netflix dimana data diperoleh dari laporan keuangan resmi diterbitkan oleh website resmi Netflix. Biaya pemasaran, yang mencakup promosi, periklanan, dan kegiatan penjualan lainnya, sering kali dianggap sebagai faktor penting untuk meningkatkan pangsa pasar dan pendapatan perusahaan. Di sisi lain, biaya pengembangan teknologi mencakup investasi dalam inovasi, riset dan pengembangan, serta perbaikan sistem dapat meningkatkan efisiensi operasional dan daya saing perusahaan. Pada penelitian ini digunakan metode analisis regresi linier berganda untuk menguji hubungan antara variabel independen (biaya pemasaran dan biaya pengembangan teknologi) terhadap variabel dependen (biaya operasional). Hasil penelitian menunjukkan bahwa biaya pemasaran tidak berpengaruh signifikan terhadap biaya operasional. Hal yang sama seperti biaya pengembangan teknologi tidak berpengaruh signifikan terhadap biaya operasional, yang menunjukkan bahwa investasi dalam teknologi dapat mengurangi biaya operasional melalui efisiensi dan otomasi. Dengan demikian, penelitian ini memberikan wawasan mengenai bagaimana alokasi sumber daya untuk pemasaran dan teknologi dapat mempengaruhi kinerja keuangan, serta membantu perusahaan dalam pengambilan keputusan yang strategis untuk memaksimalkan efisiensi operasional dan daya saing pasar. Implikasi temuan ini memberikan pemahaman lebih dalam tentang faktor-faktor yang mempengaruhi kinerja keuangan perusahaan dalam industri media streaming.
The Influence of TikTok’s For You Page And Lifestyle on Impulsive Buying Decisions of Clothing Products Among Generation Z (Digital Business Students at Universitas Negeri Medan 2021–2022) Tumangger, Emya Malum Karina; Munthe, Salman
Economic: Journal Economic and Business Vol. 4 No. 4 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i4.1276

Abstract

This study aims to analyze the influence of TikTok's For You Page (FYP) and lifestyle on impulsive clothing purchase decisions among students of the Digital Business Study Program at Medan State University, class of 2021–2022. This research employs a quantitative approach with an associative descriptive method. Data were collected through questionnaires distributed to 110 respondents using purposive sampling. The data were analyzed using multiple linear regression with the assistance of SPSS. The findings reveal that both TikTok's For You Page and lifestyle have a positive and significant effect, either partially or simultaneously, on impulsive purchase decisions. These results highlight the important role of TikTok content displayed on the FYP and students' lifestyle patterns in encouraging spontaneous buying behavior of clothing products.
Co-Authors Agnes Irene Silitonga Hafiz, Fahrul Al-hamdi Lisa Melvi Ginting Panjaitan, Bonjovi Marselino Panjaitan, Gabriella Dominggoes Salman Munthe Toruan, Anjel Monika Lumban Ulfa, Rahma Nadila