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All Journal IJID (International Journal on Informatics for Development) ABDIKU : Jurnal Pengabdian Masyarakat Universitas Mulawarman
Irma Wahyuningtyas
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Environmental Science Other

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Sentiment Analysis on Shopee Xpress Delivery Time Reviews Using Support Vector Machine and Logistic Regression Sewin Fathurrohman; Irfan Ricky Afandi; Irma Wahyuningtyas; Azis Styo Nugroho; Firman Noor Hasan
IJID (International Journal on Informatics for Development) Vol. 14 No. 2 (2025): IJID December
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2025.5073

Abstract

This study examines user sentiment towards Shopee Xpress delivery times using machine learning techniques. We collected 497 reviews from platforms like X and the Google Play Store, leveraging the valuable feedback despite its unstructured and informal nature. After labelling 398 reviews for model training and reserving 99 for sentiment prediction, we implemented two classification algorithms: Support Vector Machine (SVM) and Logistic Regression. These models categorised sentiments into negative, neutral, and positive classes. Despite class imbalance in the training data, SVM outperformed Logistic Regression with an accuracy of 93%, demonstrating a more balanced performance across sentiment categories compared to Logistic Regression's 90% accuracy. Both models showed consistent sentiment prediction on new data. Our findings highlight the potential of sentiment analysis as a valuable tool for Shopee Xpress to understand customer perceptions and improve delivery experiences. By providing actionable insights, this study can inform logistics improvements and enhance customer satisfaction. Future research could benefit from collaborating with Shopee to access internal data and integrating additional data sources for more comprehensive insights, ultimately driving business growth and customer loyalty. This study contributes to the growing body of research on sentiment analysis in logistics and e-commerce.
Pemanfaatan Limbah Organik Kulit Jeruk (Citrus nobilis) Sebagai Minyak Angin Aromaterapi Wartomo; Risna Nona; Erina Hertianti; Heriad Daud Salusu; Muhammad Fikri Hernandi; Joko Prayitno; Andi Yusuf; Nisrina Putri Hanifah; Agung Nugrawan Kutana; Irma Wahyuningtyas; Farida Aryani; Nur Maulida Sari
ABDIKU: Jurnal Pengabdian Masyarakat Universitas Mulawarman Vol. 4 No. 2 (2025): ABDIKU : Jurnal Pengabdian Masyarakat Universitas Mulawarman
Publisher : Fakultas Kehutanan dan Lingkungan Tropis, Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32522/08d6dg37

Abstract

Orange peel waste is one of the wastes that negatively impacts the environment if left to accumulate and ends up rotting. This will lead to environmental pollution in the surrounding area. One application of utilizing orange peel waste is to process it into essential oil, creating a product with high economic value. This activity aims to provide training on the utilization of orange peel waste, which is known to contain active ingredients, into aromatherapy oil products. The method of the activity is carried out through several stages, including: field surveys and coordination with local parties, the implementation of the activity to produce aromatherapy oil from essential oil waste of orange peels, discussions during the activity, and an evaluation of the activity to assess and analyze the achievement of the community service implementation. The result of this activity is the improvement and understanding gained by the community group through training and socialization in utilizing orange peel waste into products with high economic value for the PKK group from Dasawisma Teratai RT.26 Sei Keledang, Samarinda Seberang District.
Co-Authors Andi Yusuf Azis Styo Nugroho Erina Hertianti Farida Aryani Firman Noor Hasan Heriad Daud Salusu Irfan Ricky Afandi Joko Prayitno Kutana, Agung Nugrawan Muhammad Fikri Hernandi Nisrina Putri Hanifah Risna Nona Sari, Nur Maulida Sewin Fathurrohman Wartomo