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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Informatics and Interactive Technology (JIITE)
Gusnaeni Indah Pratiwi
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Automotive Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media

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ANALISIS SENTIMEN PENGGUNA SHOPEE MENGGUNAKAN LSTM Gusnaeni Indah Pratiwi; Augst Nurandini; Dyessica Meizheilla; Eka Nada Rinjani; Zahra Revadinika Apriliani; Rizki Widodo
Journal of Informatics and Interactive Technology Vol. 2 No. 2 (2025): Agustus
Publisher : ACSIT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63547/jiite.v2i2.91

Abstract

Perkembangan e-commerce di Indonesia telah mendorong pentingnya analisis sentimen untuk memahami kepuasan pengguna. Penelitian ini menganalisis sentimen ulasan pengguna Shopee menggunakan metode Long Short-Term Memory (LSTM) untuk mengklasifikasikan ulasan menjadi positif, negatif, dan netral. Data penelitian diperoleh melalui web scraping terhadap ulasan di Google Play Store, dengan total sampel sebanyak 3.625 ulasan yang mencakup periode 2023 hingga 2025. Proses preprocessing dilakukan dengan normalisasi teks, diikuti ekstraksi fitur menggunakan TF-IDF. Hasil penelitian menunjukkan bahwa model LSTM mencapai akurasi sebesar 86,48%, dengan distribusi sentimen didominasi oleh kategori positif (83%), diikuti negatif (16%), dan netral (1%). Temuan ini mengindikasikan tingkat kepuasan pengguna yang tinggi terhadap layanan Shopee, meskipun masih terdapat keluhan terkait kualitas produk dan layanan pengiriman. Penelitian ini memberikan kontribusi dalam pengembangan sistem analisis sentimen berbasis deep learning serta rekomendasi bagi Shopee untuk meningkatkan kualitas layanannya.
Design and Implementation of a Web-Based Currency Converter System Using an Application Programming Interface Purwadi; Augst Nurandini; Gusnaeni Indah Pratiwi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1967

Abstract

This study aims to design and implement a web-based currency converter application that utilizes an Application Programming Interface (API) to provide real-time and accurate exchange rate data. The increasing intensity of global economic activities has created a growing need for fast and reliable currency conversion, while manual conversion methods are prone to errors and data inconsistencies. This research employs the Research and Development (R&D) approach using the waterfall development model, which includes requirement analysis, system design, implementation, testing, and maintenance. The developed application provides two main features: an exchange rate calculator that performs automatic currency conversion based on real-time data, and a currency exchange history feature that presents exchange rate trends in graphical form within a selected period. Testing results indicate that the application runs reliably, delivers fast responses, and consistently displays up-to-date exchange rate information. In conclusion, the proposed application serves as an effective web-based solution for accessing accurate currency exchange information to support international financial activities.
Co-Authors Augst Nurandini Dyessica Meizheilla Eka Nada Rinjani Purwadi Rizki Widodo Zahra Revadinika Apriliani