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All Journal Jurnal Teknik Sipil dan Perencanaan JAM : Jurnal Aplikasi Manajemen Mimbar Agribisnis: Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Syntax Literate: Jurnal Ilmiah Indonesia Civil Engineering Journal Ganaya: Jurnal Ilmu Sosial dan Humaniora JURNAL PENDIDIKAN TAMBUSAI Performance : Jurnal Bisnis dan Akuntansi JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmiah Profesi Pendidikan TATOHI: Jurnal Ilmu Hukum Jurnal Informatika Terpadu STRATEGY : Jurnal Inovasi Strategi dan Model Pembelajaran Agripreneur : Jurnal Pertanian Agribisnis Jurnal Pengabdian Masyarakat Akademisi Jurnal Informatika Teknologi dan Sains (Jinteks) Asalibuna Istoria : Jurnal Ilmiah Pendidikan Sejarah Universitas Batanghari Journal of Applied Community Engagement (JACE) Nanggroe: Journal Of Scholarly Service AMMA : Jurnal Pengabdian Masyarakat Nanggroe: Journal of Scholarly Service Cendikia Pendidikan Al-Wasil: Journal of Arabic Education Jurnal Dirosah Islamiyah Revorma: Jurnal Pendidikan dan Pemikiran Spektra : Jurnal Ilmu-ilmu Sosial Madrasah : Jurnal Pendidikan Madrasah dharma wiyata
Rifa’I, Ahmad
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Journal : Jurnal Informatika Terpadu

 1 
Analisis Sentimen Aplikasi SeaBank dengan Algoritma Naive Bayes untuk Optimalisasi Pelayanan Putri, Niken Zeliana; Martanto, Martanto; Dikananda, Arif Rinaldi; Rifa’i, Ahmad
Jurnal Informatika Terpadu Vol 11 No 1 (2025): Maret, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v11i1.1721

Abstract

The rapid development of digital banking technology requires improvements in service quality to remain competitive in the financial industry. Seabank Indonesia is one of the widely used digital banking applications, making sentiment analysis of user reviews an essential aspect of understanding their perceptions of the provided services. This study evaluates user sentiment toward the Seabank application by implementing the Naïve Bayes algorithm to optimize service quality. The research data was obtained through a web scraping process from the Google Play Store, totalling 1,000 reviews. The Knowledge Discovery in Databases (KDD) approach was applied in the analysis, encompassing preprocessing stages such as cleaning, casefolding, tokenization, stopword removal, stemming, and Term Frequency-Inverse Document Frequency (TF-IDF) representation. The classification model was built by splitting the dataset into 70% training and 30% test data. The evaluation results indicate that the developed model achieved an accuracy of 88%, with a precision of 95%, recall of 87%, and F1-score of 91%. An analysis of all reviews revealed that 70.5% were positive, while 29.5% were negative. These findings demonstrate that the Naïve Bayes algorithm is effective in analyzing user sentiment and provides valuable insights for developers to enhance the quality of Seabank Indonesia’s services.
Co-Authors Abdan Rahim, Abdan Abunawas, Abunawas Adhari Febriyan, Muhammad Afiful Maula, Ricky Ahmad Faqih Alma’as, Azis Alpionita, Indri Alviani, Devi Anis Humaidi, Anis Antika, Rindi Ardhani, Risma Arzaqi, Nila Astarina, Ivalaina Atiana, Sofyetin Baharudin Baharudin Baihaqi, Mohammad Choli, Ifham Dewi Fatmawati Didi Muwardi Dikananda, Arif Rinaldi Dikananda, Fatihanursari Dina, Syafrina Erika Revida Fatihanursari, Fatihanursari fatimah, lilis Fikri Faris, Fikri Fikri, Khusnul Habibi, Muhamad Lutfi Habidah, Siti Nur Hamli, Haji Harori, M Iqbal Harun Al Rasyid, M. Udin Husain, Naufal Ike Kusdyah Rachmawati Ikram, Moh. Indra Gunawan, Agus Indriya Efendi, Dendy Iqbal Syaidin, Fadli Irawan Z, Rudy Irawan, Dhyan Andika Ismanti, Sito Khoirul Anwar Laila Hayati, Laila Lukman Rohmat, Cep Martanto . Melda Yanti Mirna Mirna Muannif Ridwan Mubarok, Fatkhan Muchlis Muchlis Muhmammad Basysyar, Fadhil Muslimah, Maziyyatul Mustaqim Mustaqim Mustaqim Mustaqim, Mustaqim Nahar, M. Fadhlun Najamuddin Najamuddin, Najamuddin Narasati, Riri Narasati Ni’am, Mohammad Shulkhi Ni’mah, Zetty Azizatun Nur alamsyah, Deri Nur Effendi, Nur Nur Rochmah, Aulia Pamungkas, Satriyo Pratama, Denni Purba, Byon Rezy Pradana Putri, Maharani Nur Aishya Aulia Putri, Niken Zeliana Rahmah, Mishbahu Ridwan, Banata Wahid Rinaldi Dikananda, Arif Rizky, Mhd. Dhiya Rochmah, Shinta Ainun Rosnita Rosnita Roza Yulida Ruspitasari, Widi Dewi Setianingsih, Rahayu Siti Syamsiyatun Solihudin, Dodi Subiyantoro, Andy Suryana, Eka Priangga Hari SUSANTI, NOVRIANI Theresia Pradiani Trisnawati, Tiara R. Tuzzahra, Najwa Vaneysha, Vini Wardiyanto, K. Bagus Wijaya, Aruka Yuniawan, Ragil A. Zakariya, Ali Zhahiran Herlambang, Rilanisa Zulhamid Ridho