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All Journal Journal of Social Science Karimah Tauhid
Ilahi, Elita Nur
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Chemistry Economics, Econometrics & Finance Education Environmental Science Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Social Sciences

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Mengungkap Potensi Luar Biasa dan Tantangan Menantang Cloud Computing di Era Digital Ilahi, Elita Nur; Saripudin, Mip; Nughraha, Muhammad Angga; Cardinsyah, Gerald Dwight Andigha; Hikmatulloh, Moch Fajar; Encep, Muhammad
Karimah Tauhid Vol. 3 No. 2 (2024): Karimah Tauhid
Publisher : Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/karimahtauhid.v3i2.12300

Abstract

Komputasi awan telah menjadi salah satu teknologi yang sangat penting dalam era digital saat ini. Tujuan dari artikel ini adalah untuk mengungkap potensi luar biasa dari komputasi awan dan tantangan yang dihadapi dalam implementasinya. Penelitian ini menggunakan metode analisis deskriptif untuk mengidentifikasi potensi dan tantangan komputasi awan. Hasil penelitian menunjukkan bahwa potensi komputasi awan sangat besar, meliputi efisiensi operasional, fleksibilitas, dan skalabilitas. Namun, juga terdapat hambatan yang perlu diatasi, seperti keamanan data, ketersediaan layanan, dan biaya implementasi. Oleh karena itu, artikel ini juga memberikan rekomendasi untuk mengatasi tantangan ini dan memaksimalkan potensi komputasi awan. Diharapkan artikel ini akan memberikan wawasan yang berharga bagi praktisi dan peneliti dalam memahami komputasi awan di era digital.
Sentiment Analysis of User Reviews of E-commerce Applications: Case Study on the Shoppe Platform Susanti, Aisah Rini; Ilahi, Elita Nur
Journal of Social Science Vol. 5 No. 4 (2024): Journal of Social Science
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jss.v5i4.885

Abstract

The development of e-commerce in Indonesia is driven by the large population and extensive geography. One of the leading e-commerce applications in Indonesia is Shopee. User reviews of this application reflect public sentiment towards Shopee. The Naive Bayes method was used to classify reviews, with an accuracy rate of 90.76%. Using TF-IDF helps calculate the weight of words in reviews. Performance evaluation shows that the model has high accuracy in scenario 1 with a 60:40 split between training data and test data. The use of information technology has changed the business paradigm, including in e-commerce such as Shopee. The importance of understanding consumer sentiment can be seen from social media platforms, where sentiment analysis using Naive Bayes and Topic Modeling shows negative sentiment at the 11:11 Shopee Flashsale event. Suggestions for Shopee include improving event strategies such as Flashsale by inviting artists and improving customer service. Responsiveness to technical application problems is also emphasized to increase customer satisfaction. The increase in e-commerce transactions in Indonesia shows rapid growth, with many platforms emerging. Sentiment analysis such as that done with K-Nearest Neighbor (K-NN) on Google Play Store reviews provides insight into the experience of e-commerce users in Indonesia, with an accuracy rate of up to 82%. This research provides significant implications for e-commerce companies in better understanding and meeting customer expectations.
Co-Authors Aisah Rini Susanti Cardinsyah, Gerald Dwight Andigha Hikmatulloh, Moch Fajar Muhammad Encep, Muhammad Nughraha, Muhammad Angga Saripudin, Mip