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All Journal TEKNIK INFORMATIKA Jurnal CoreIT Jurnal Mitra Pendidikan Pendas : Jurnah Ilmiah Pendidikan Dasar JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURIKOM (Jurnal Riset Komputer) JISICOM (Journal of Information System, Infomatics and Computing) Journal of Information System, Applied, Management, Accounting and Research JURNAL PEMASARAN KOMPETITIF JEMMA | Journal of Economic, Management and Accounting INTI Nusa Mandiri bit-Tech REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Infortech Infotek : Jurnal Informatika dan Teknologi SENADA : Semangat Nasional Dalam MengabdI Abditeknika - Jurnal Pengabdian Kepada Masyarakat Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta Simpatik: Jurnal sistem Informasi dan Informatika Publikasi Pengabdian Masyarakat Komputer dan Teknologi (PUNDIMASKOT) CKI On Spot Jurnal Pengabdian Kreatif Cemerlang Indonesia SENADA : Semangat Nasional Dalam Mengabdi Jurnal Pengabdian Masyarakat Ilmu Komputer
Yumi Novita Dewi
Universitas Nusa Mandiri
Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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Implementasi Metode Naïve Bayes Dalam Deteksi Akses Tidak Sah Menggunakan Dataset UNSW-NB15 Ahmad Rizeki; Yumi Novita Dewi; Fahrizal Fahrizal; Imam Syafi’i
Journal of Information System, Applied, Management, Accounting and Research Vol 10 No 3 (2026): JISAMAR (August 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v10i3.2247

Abstract

The rapid growth of information technology and digital activities has led to an increasing number of attacks on computer networks. Various types of cyberattacks, such as unauthorized access and malicious activities, pose serious threats to data security and confidentiality. Therefore, an effective security mechanism is required to detect such attacks, one of which is through the implementation of an Intrusion Detection System (IDS). This study aims to apply the Naïve Bayes algorithm to detect unauthorized access in computer networks. The dataset used in this research is the UNSW-NB15 dataset, which was preprocessed to obtain 82,332 records suitable for classification. The evaluation was conducted using the 10-Fold Cross Validation method with the assistance of RapidMiner software. The experimental results indicate that the Naïve Bayes algorithm achieves excellent performance in classifying network traffic. The proposed model attained an accuracy of 95.96%, a precision of 94.11%, a recall of 98.85%, and an Area Under the Curve (AUC) value of 0.964. The high AUC value demonstrates that the model is highly effective in distinguishing between normal traffic and attack traffic. Based on these findings, it can be concluded that the Naïve Bayes algorithm is a reliable and effective method for intrusion detection systems to enhance network security.
ANALISIS SEGMENTASI PENGUNJUNG MENGGUNAKAN K-MEANS CLUSTERING BERDASARKAN MODEL RFM: STUDI KASUS PEGASUS KARTING CABANG PLUIT VILLAGE Nurul Isnayni; Imam Budiawan; Yumi Novita Dewi
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.63269

Abstract

The experience-based entertainment industry, such as indoor karting, faces challenges in understanding customer behavior through a data-driven approach. Pegasus Karting at Pluit Village Mall recorded 1,833 transactions from 892 unique customers during October-December 2025 via its Smart TAG cashier system, yet this data remained underutilized for strategic decision-making. This study aims to implement K-Means Clustering based on the RFM (Recency, Frequency, Monetary) model to generate customer segments, analyze the characteristics of each segment, and formulate Customer Relationship Management (CRM) strategy recommendations and operational efficiency improvements. The methodology encompasses RFM value computation, Min-Max normalization, optimal cluster determination using the Elbow Method and Silhouette Score, and K-Means execution with k-means++ initialization. Results indicate that k = 3 is the optimal configuration, yielding a Silhouette Score of 0.5453 (above the 0.5 threshold), thus rejecting H₀ and accepting H₁. Segmentation produced two main groups: Champions (655 customers, 73.4%) with an average Recency of 24.25 days, Frequency of 2.2 visits, and Monetary of IDR 333,829, contributing 76.7% of total revenue; and Lost Customers (237 customers, 26.6%) with an average Recency of 77.83 days, contributing 23.3% of revenue. These findings serve as the basis for loyalty retention strategies for the Champions segment and win-back campaigns for Lost Customers.
Co-Authors Adika May Sari Ahmad Rizeki Aji Ikhsanto Alfian Alfian Andreyas Ariesta Andy Siswanto Ahmad Budiyono Ani Yoraeni Hasan Bagas Feri Setya Budi Cahyani Budihartanti Cahyani Budihartanti Cahyani Budihartanti Cahyani Budihartanti, Cahyani Cepi Cahyadi Chalimatusadiah, Chalimatusadiah Desy Winarty Dian Berliansyah Putra Dwiza Riana Fahrizal Fahrizal Findi Ayu Sariasih Firstianty Wahyuhening Fibriany Harsih Rianto Ianlie Ivan Pondaag Imam Budiawan Imam Syafi’i Indah Purnamasari Indah Purnamasari Irfan Mahendra Irfan Mahendra Juarni Siregar KOMALASARI, YULI Laila Septiana Laila Septiana Laila Septiana, Laila Lisnawanty Maisyaroh Mery Oktaviyanti Puspitaningtyas Moh Bagas Agung Darmawan Mohammad Badrul Mohammad, Badrul Muhammad Fajri Daryansyah Muhammad Iqbal Naufal, Muhammad Fachrezzy Nita Merlina Nita Merlina Nurlaila Nurlaila Nurul Isnayni Octavianil, Dea Puji Amsaras Rafli Ilham Setiawan Rifaldi Rifaldi Rindu Rifkawati Marbun Riva Abdillah Aziz Santoso Setiawan Suhardjono S Syahrul Aziz Taransa Agasya Tutupoly Tuslaela Yusuf Ashari, Yusuf