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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnas Nasional Teknologi dan Sistem Informasi Proceeding SENDI_U JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komputasi JUTEI (Jurnal Terapan Teknologi Informasi) Sebatik EDUMATIC: Jurnal Pendidikan Informatika Jurnal Komunitas: Jurnal Pengabidian Kepada Masyarakat Idealis : Indonesia Journal Information System SKANIKA: Sistem Komputer dan Teknik Informatika JIKI (Jurnal Ilmu Komputer dan Informatika) Dedikasi: Jurnal Pengabdian kepada Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Kresna: Jurnal Riset dan Pengabdian Masyarakat Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Karya Abdi Masyarakat Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Mahasiswa Ilmu Komputer Telematika MKOM Jurnal Ticom: Technology of Information and Communication
Dolly Virgian Shaka Yudha Sakti
Teknik Informatika, Universitas Budi Luhur, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Public Health Social Sciences Other

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Journal : Literasi: Jurnal Pengabdian Masyarakat dan Inovasi

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Diseminasi Teknik Klasifikasi Naïve Bayes pada Instrusion Detection System di Perusahaan Artajasa Teja Endra Eng Tju; Dolly Virgian Shaka Yudha Sakti; Muhammad Kamil Suryadewiansyah
Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Vol 2 No 2 (2022)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.651 KB) | DOI: 10.58466/literasi.v2i2.513

Abstract

Artajasa as a real-time online transaction service provider faces the challenge of monitoring transaction traffic and identifying transactions that are allowed or not. This community service activity aims to create a web-based application to help analyze alerts from the detection system that was previously carried out manually. The implementation of activities consists of interviews and observations, data collection and processing, application analysis and design, application testing and implementation. With the Naïve Bayes algorithm, the prediction results from the historical data obtained an accuracy of 0.88 and the results of the User Acceptance Test showed that all functions had been tried and worked well. With the application made, the work of artajasa's security team becomes effective and efficient because there is no need to check every alert data anymore, but simply focus on the results of the difference between the results of predictions and alerts.
Co-Authors Aldi Suryanto Ammar Haikal Addimasqi Anggi Kristanto Apriliani Apriliani Arther Ignasius Budiman S, M. Arif Dani Anggoro Dani Anggoro Dede Ariyono Doni Halim Fajarita, Lusi Ferdiansyah Ferdiansyah Ferdiansyah Ferdiansyah firda firda Galih Rizky Fahrezi Hafiz Muhardi Hardjianto, Mardi Harefa, Auli Zatulo Humisar Hasugian Ihsan Kamil Teja Sumarna Iman Permana Imelda, Imelda Juanita, Safitri Juanita, Safitri Krisna Adiyarta Musodo M. Anif Muhammad Anif Muhammad Anif Muhammad Kamil Suryadewiansyah Musakkarul Mu’minim Lambacing Naufal Arkaan Nazori Agani Nizamuddin Aulia Kafa Nofiyani Nofiyani Nofiyani, Nofiyani Oktaviani, Maria Rosaria Pendi Perdana Pipin Farida Ariyani Putri Hayati Rabbani, Irsyad Riki Aldi Pari Ririn Apriliani Rizaldi Rahman Rozi, Ilham Fahrul Samsinar Samsinar Satrio Nugroho Sauqi Subhan Sejati Waluyo Shobirin, Muhammad Ilham Subandi Subandi Titin Fatimah Tju, Teja Endra Eng Viktory Hendrico Wahyu Pramusinto Wahyudi Purnama Waluyo, Sejati Wulandari Wulandari Yesi Puspita Dewi