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All Journal ComEngApp : Computer Engineering and Applications Journal TEKNIK INFORMATIKA Scientific Journal of Informatics Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Produktif : Jurnal Ilmiah Pendidikan Teknologi Informasi JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Applied Information System and Management Jurnal Sisfokom (Sistem Informasi dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) IJISTECH (International Journal Of Information System & Technology) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Jurnal Pendidikan dan Konseling Indonesian Journal of Business Intelligence (IJUBI) ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Berdaya Mandiri Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Innovation in Research of Informatics (INNOVATICS) IJISTECH International Journal of Engineering, Science and Information Technology Teknik: Jurnal Ilmu Teknik dan Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) TRIBUTE: JOURNAL OF COMMUNITY SERVICES Parta: Jurnal Pengabdian Kepada Masyarakat PAKDEMAS : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Masyarakat As-salam Publikasi Hasil Pengabdian Kepada Masyarakat. Jurnal Karya Abdi Masyarakat Jurnal Pengabdian Pada Masyarakat Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Jurnal Relawan dan Pengabdian Masyarakat REDI TeknoKreatif: Jurnal Pengabdian kepada Masyarakat Inovasi Gagasan Abdimas & Kuliah Kerja Nyata JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Praseptiawan, Mugi
Teknik Informatika, Institut Teknologi Sumatera
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Sentiment Analysis of Comments on Higher Education Social Media Using Naïve Bayes Algorithm Salisu, Imam Auwal; Ramadhan, Irzal Raisya; Matdoan, Sakina; Arifin, Zainal; Praseptiawan, Mugi
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 1 No. 3 (2024): October
Publisher : Lumina Infinity Academy Foundation

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Abstract

The rapid development of information technology has driven the widespread use of social media across various aspects of life, including the academic environment. Social media platforms, such as Instagram, have become popular channels for disseminating information and fostering interactions between individuals and groups. With the growing number of users, sentiment analysis on social media is essential to understand public perceptions and responses to specific issues. Higher education institutions play a strategic role in creating a positive image through social media. Social media provides opportunities for universities to convey achievements, academic activities, and other information effectively to a broader audience, enhancing their reputation in the public eye. Moreover, Instagram serves not only as a communication tool but also as an educational medium capable of increasing student engagement through relevant and informative content. Technically, the Naïve Bayes algorithm is well-known for its speed and efficiency in sentiment analysis. This probability-based method leverages historical data to predict positive, negative, or neutral sentiments, offering competitive accuracy even when handling large datasets. This study aims to apply the Naïve Bayes algorithm for sentiment analysis of comments on the Instagram account of Widyagama University (@uwg.malang) as a case study. The research is expected to provide valuable insights for developing effective communication strategies and serve as a reference for other higher education institutions or organizations in utilizing analytical technologies for strategic purposes.
Classification of Used Car Prices Using the Naive Bayes Method Abillah, Bintang; Pratama, Djourdi Amrida; Baskara, Rizandi Agung; Praseptiawan, Mugi; Hanfiro, Pauline
Journal of Information Technology application in Education, Economy, Health and Agriculture Vol. 2 No. 1 (2025): February
Publisher : Lumina Infinity Academy Foundation

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This research uses the Naive Bayes algorithm to predict used car purchasing decisions based on attributes such as brand, year of production, mileage, engine condition, completeness of features, and maintenance history. By applying the Gaussian Naive Bayes approach to handling continuous data, this research aims to develop a reliable prediction model while identifying the attributes that most influence purchasing decisions. The test results show that the prediction model achieved a correct accuracy level of 80%, and an incorrect accuracy of 20%, which indicates the ability of the Naive Bayes algorithm to handle data classification. This research provides insights that can support industry players in designing more effective sales strategies based on accurate data analysis.
Co-Authors Abillah, Bintang Adinda Sekar Tanjung Aditya Wahyu Nugraha Afriansyah, Aidil Agustinus Noertjahyana Ahmad Naim Bin Che Pee Aidil Afriansya Aidil Afriansyah Aidil Afriasnyah Alam Fathurochman, Alam Alfajar Puja Kusuma Algifari, Muhammad Habib Amirul Iqbal Amrulloh, Iqbal Andika Setiawa Andika Setiawan Andre Febrianto Anggraini , Ade Eka Ardi Gaya Manalu Arre Pangestu Athalla, Muhammad Nadhif Bahri, Samsu Baraku, Randi Baskara, Rizandi Agung Che Pee, Ahmad Naim Dadan Sujana Daniel Rinald Dita Alviuni P Drajat, Hilmi Maulana Dyah Ayu Larasati Eka Nur'azmi Yunira Eko Dwi Nugroho Eko Dwi Nugroho Endo Pebri Dani Putra Fauzan Natsir Feri Fahrianto Filiana, Edinia Rosa Firmansyah, Hafiz Budi Gunawan, Rayhan Fatih Hanfiro, Pauline Hersa Dwi Yanuarso Ilham Firman Ashari Ilham Firman Ashari Jati Fatmawiyati Khusnul Khotimah Kurniawansyah, Apri Laisya, Nashwa Putri Leo Viranda Millennium Lisdayana, Nurmalisa M. Syamsuddin Wisnubroto M. Yafi Fahmi Madi Madi Marbun, Rustian Afencius Maria Oktarise Natania Gultom Marsista Buana Putri, Marsista Buana Mastuti Widianingsih, Mastuti Matdoan, Sakina Meida Cahyo Untoro Miranti Verdiana Muhamad Djuanda Muhammad Affandi Muhammad Iqbal Muhammad Nadhif Athalla Muhammad Yusuf Naufal Raki Nela Agustin Kurnianingsih Nuk Ghurroh Setyoningrum Nur'azmi, Eka Oriza Zativalen, Oriza Perdana, Agung Mahadi Putra Prabandari, Pungki Resti Praramadhana, Daffa Pratama, Djourdi Amrida Pungki Resti Prabandari Putri, Nabila Muthia Putty Yunesti Radhinka Bagaskara Rahman Indra Kesuma Rahmat Setiawan Raidah Hanifah Raidah Hanifah Ramadhan, Irzal Raisya Revangga, Dwi Arthur Rinaldi, Daniel Risfihan Rafi Salisu, Imam Auwal Samsu Bahri Sianturi, Elsa Elisa Yohana Sinaga, Nydia Renli Siregar, Abu Bakar Siddiq Sisilia Juli A Solly Aryza Sophia Nouriska Sudiarjo, Aso Suranta, Akmal Fauzan Untoro, Meida Cahyo Untoro, Meida Cahyo Utoro, Meida Cahyo Vebera Maslami Verdiana, Miranti Wafiqah Azhar , Afra Wafiqah Azhar, Afra Winda Yulita Winda Yulita Wisnubroto, M. Syamsuddin Yulita, Winda Yunira, Eka Nur'azmi Zainal Arifin Zakaria, Mohd Hafiz