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All Journal Data Sciences Indonesia (DSI) Jurnal Ekonomi Bisnis dan Kewirausahaan
Rahma Hanum
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Computer Science & IT Economics, Econometrics & Finance Education Physics Other

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Web Scraping Data Ulasan Pelanggan untuk Kemajuan Bisnis E-Commerce pada Official Store dan Non-Official Store dengan Pendekatan Natural Language Processing Al Hafizh, Muhamad Rafif; Aldi Daim Fauzan; Woro Isti Rayahu; Kiki Mustaqim; Rahma Hanum
Data Sciences Indonesia (DSI) Vol. 5 No. 1 (2025): Article Research Volume 5 Issue 1, June 2025
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dsi.v5i1.5748

Abstract

Penelitian ini bertujuan mengaplikasikan teknik Web Scraping untuk mendapatkan data ulasan official store dan non-official store dari Tokopedia untuk dibandingkan dan dilakukan Sentiment Analysis untuk menghapus prasangka bahwa official store lebih unggul daripada non-official store. Web Scraping adalah teknik ekstraksi data secara otomatis dari web melalui HTML yang kemudian di-framing menjadi dataframe agar mudah dibaca. Data yang sudah diubah akan melalui Preprocessing Data, yang mencakup Data Cleaning, Normalisasi, Stopword Removal, Tokenize, Stemming, dan Translate. Proses ini menghasilkan kata yang siap diolah ke Labelling, dan diberi sentimen positif, negatif, dan netral. Hasil perbandingannya adalah Faith Industries mendapatkan 80.9% positif, 4.4% negatif, dan 14.6% netral, sedangkan Julclothing mendapatkan 69.1% positif, 18.0% negatif, dan 13.0% netral. Perbandingan tersebut tidak signifikan, dapat disimpulkan bahwa non-official store dapat bersaing dengan official store. Perbandingan selanjutnya terdapat di frekuensi sentimen terbanyak. Kedua toko tersebut memiliki kata ‘fit’ sebagai sentimen positif dan ‘measure’ sebagai sentimen netral, sedangkan sentimen negatif Faith Industries mendapatkan kata ‘long’, Julclothing mendapatkan kata ‘small’. Klasifikasi negatif tersebut disimpulkan bahwa permasalahan utama pelanggan tidak puas karena ukuran baju. Solusi permasalahan utama bagi toko dan pelanggan, yaitu toko menyediakan chart size yang sesuai dan pelanggan mengukur baju sesuai chart size sebelum membeli produk dari toko tersebut
IMPLEMENTASI PENJUALAN BERBASIS WEB PADA USAHA PRELOVED SECOND WEAR UNTUK MENINGKATKAN AKSESIBILITAS PELANGGAN Anindhita Azzahra; Hanif Annaufal; Rahma Hanum
Jurnal Ekonomi Bisnis dan Kewirausahaan Vol. 3 No. 2 (2026): April : Jurnal Ekonomi Bisnis dan Kewirausahaan (JEBER)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/jrrgeq72

Abstract

The web-based sales system for Second Wear aims to make it easier for customers to buy and sell second-hand items. The website has a simple and user friendly design, allowing customers to explore its features with ease, while also including security features for transactions and a review system to help build trust among users. With this approach, Second Wear creates a safe and welcoming environment, which is expected to increase customer participation and sales in the preloved fashion market.
OPTIMALISASI KONTEN PEMASARAN SEBAGAI STRATEGI MENINGKATKAN KEPUTUSAN PEMBELIAN DI E-COMMERCE: STUDI KASUS GLOGLOWING SKINCARE Muhammad Amrulloh; Supriady Supriady; Rahma Hanum
Jurnal Ekonomi Bisnis dan Kewirausahaan Vol. 3 No. 3 (2026): Juni : Jurnal Ekonomi Bisnis dan Kewirausahaan (JEBER)
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/t8nvn480

Abstract

This study examines the optimization of digital marketing content as a strategy to enhance consumers’ purchase decisions on e-commerce platforms, using Gloglowing Skincare as the case study. Gloglowing Skincare is a local skincare brand based in Indramayu Regency, West Java, which markets its products through various digital platforms, including Shopee, TikTok Shop, and Instagram. Preliminary observations identified three main issues: (1) a lack of variation in internally managed marketing content, (2) limited use of original product photos in the e-commerce catalog, and (3) excessive reliance on influencer-generated content. Through a two-month internship program (July–August 2024), a series of strategic interventions were implemented, including the production of educational and promotional content, the creation of more than 20 professional product photos, and the development of a structured content calendar. The results indicate a significant positive impact: organically produced video content achieved over 473,000 views and 38,000 likes on TikTok without the support of paid advertising or influencers. These findings suggest that optimizing marketing content through internal production can effectively increase consumer engagement and directly drive purchase decisions. This study contributes to the practical understanding of content marketing strategies for small and medium enterprises (SMEs) in the beauty industry in the digital era.
Co-Authors Al Hafizh, Muhamad Rafif Aldi Daim Fauzan Anindhita Azzahra Hanif Annaufal Muhammad Amrulloh Mustaqim, Kiki Supriady Supriady Woro Isti Rayahu