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All Journal bit-Tech Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat
R. Rhoedy Setiawan
Muria Kudus University
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Other

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Classification of Sentiment Tokopedia and Shopee App Reviews on Google Playstore Using Naive Bayes Robait Tajuddin; Yudie Irawan; R. Rhoedy Setiawan
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3246

Abstract

The rapid growth of e-commerce in Indonesia has led to an increase in user reviews that reflect satisfaction and experiences with applications such as Tokopedia and Shopee. The large volume of reviews makes manual analysis inefficient, thus requiring an automated method to identify user sentiments. This study aims to analyze and classify the sentiment of Tokopedia and Shopee reviews using the Naïve Bayes algorithm. The dataset consists of 10,000 Indonesian-language reviews collected from the Google Play Store. The analysis stages include data cleaning, stopword removal, stemming, and tokenization before classifying the reviews into positive and negative categories. The results show that the Naïve Bayes model performs well in sentiment classification. For Tokopedia data, the model achieved an accuracy of 81.84%, weighted precision of 84.44%, weighted recall of 81.84%, and weighted F1-score of 81.57%. Meanwhile, for Shopee data, the model performed better with an accuracy of 86%, weighted precision of 85.96%, weighted recall of 86%, and weighted F1-score of 83.25%. The word cloud visualization reveals that negative sentiments on Tokopedia are dominated by complaints about products and delivery, while on Shopee, they relate to late orders. Positive sentiments in both platforms highlight transaction convenience and affordable prices. These results demonstrate that Naïve Bayes is effective for sentiment analysis of e-commerce user reviews.
Pengembangan dan Penerapan Sistem Logbook & Absensi Online sebagai Dukungan Monitoring Kegiatan Peserta Magang di BAZNAS Kudus Titis Chusnul Mahrom; R. Rhoedy Setiawan
Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Vol. 7 No. 1 (2025): Volume 7, No 1, Desember 2025
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/atjpm.v7i1.7545

Abstract

Kegiatan pengabdian ini dilaksanakan untuk merespons kebutuhan digitalisasi administrasi magang di BAZNAS Kabupaten Kudus yang selama ini masih mengandalkan sistem manual melalui presensi kertas dan logbook tertulis. Kondisi tersebut menimbulkan kendala seperti keterlambatan pelaporan, ketidakteraturan data, serta kesulitan pembimbing dalam memantau aktivitas peserta secara real-time. Kegiatan ini bertujuan untuk mengembangkan dan menerapkan sistem logbook dan absensi online yang dapat mendukung proses pencatatan kegiatan harian serta monitoring kehadiran peserta magang. Metode yang digunakan meliputi observasi alur kerja dan wawancara dengan admin, pembimbing, serta peserta magang untuk memetakan kebutuhan sistem, kemudian dilanjutkan dengan perancangan, pengembangan, dan pelatihan penggunaan sistem. Hasil kegiatan menunjukkan bahwa sistem berhasil diperkenalkan dan mulai dipahami oleh pengguna melalui sesi sosialisasi dan pendampingan, meskipun masih berada dalam tahap penerapan awal. Pengguna mulai mampu melakukan presensi digital, mengisi logbook harian, dan melihat rekap aktivitas secara otomatis. Sistem ini berpotensi meningkatkan efisiensi pengelolaan administrasi magang dan kualitas monitoring, meskipun evaluasi lanjutan masih diperlukan sebelum diimplementasikan secara penuh. Kesimpulan kegiatan menegaskan bahwa digitalisasi administrasi magang melalui sistem yang dikembangkan merupakan langkah awal penting menuju pengelolaan magang yang lebih modern, terstruktur, dan terintegrasi.
Co-Authors Robait Tajuddin Titis Chusnul Mahrom Yudie Irawan