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All Journal Journal of Nonformal Education Jurnal Psikohumanika Jurnal Pendidikan dan Konseling International Journal of Islamic Educational Psychology Ilomata International Journal of Social Science JURNAL ILMIAH GLOBAL EDUCATION Jurnal Multidisiplin Madani (MUDIMA) East Asian Journal of Multidisciplinary Research (EAJMR) Journal of Social Science Journal of Management and Informatics Journal of Technology Informatics and Engineering Jurnal Ilmiah Global Education
Sitinjak, Charli
Universitas Esa Unggul
Religion Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Enhancing Performance Using New Hybrid Intrusion Detection System Candra Supriadi; Charli Sitinjak; Fujiama Diapoldo Silalahi; Nia Dharma Pertiwi; Sigit Umar Anggono
Journal of Technology Informatics and Engineering Vol 1 No 2 (2022): Agustus: Journal of Technology Informatics and Engineering
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtie.v1i1.134

Abstract

Intrusion Detection Systems (IDS) are an efficient defense against network attacks as well as host attacks as they allow network/host administrators to detect any policy violations. However, traditional IDS are vulnerable and unreliable for new malicious and genuine attacks. In other case, it is also inefficient to analyze large amount of data such as possibility logs. Furthermore, for typical OS, there are a lot of false positives and false negatives. There are some techniques to increase the quality and result of IDS where data mining is one of technique that is important to mining the information that useful from a large amount of data which noisy and random. The purpose of this study is to combine three technique of data mining to reduce overhead and to improve efficiency in intrusion detection system (IDS). The combination of clustering (Hierarchical) and two categories (C5, CHAID) is proposed in this study. The designed IDS is evaluated against the KDD'99 standard Data set (Knowledge Discovery and Data Mining), which is used to evaluate the efficacy of intrusion detection systems. The suggested system can detect intrusions and categorize them into four categories: probe, DoS, U2R (User to Root), and R2L (Remote to Local). The good performance of IDS in case of accuracy and efficiency was the result of this study.
THE IMPORTANCE OF GUIDANCE AND COUNSELING IN EFFECTIVE SCHOOL LEARNING Charli Sitinjak; Zainab Canu
Jurnal Ilmiah Global Education Vol. 4 No. 1 (2023): JURNAL ILMIAH GLOBAL EDUCATION, Volume 4 Nomor 1, Maret 2023
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v4i1.516

Abstract

Guidance and counselling are essential for a child's future success in school. The study acknowledges that counselling is a transformative process that assists people in learning everything they need to learn both inside and outside of school. Design / Methodology / Approach: Because this is an opinion paper, the study used to review research techniques. Findings: The paper acknowledges that counsellors must build the child's confidence in order for him or her to be able to provide the necessary information in order to help the child (students). Practical implications: Guidance counsellors should encourage students to attend therapy sessions to assist the child in their future success. Originality / Importance: This paper discusses the role of guidance and counselling in effective teaching and learning in schools for children's future success.
Co-Authors Candra Supriadi Candra Supriadi Desi Maulia Dwi Hurriyati Ellya Rakhmawati Fauzi Rahman Fenny Nurhalyza Fujiama Diapoldo Silalahi Gibson Manalu Hafizh Zain Abdillah Hafizh Zain Abdillah Hidayah, Nurul Hidayah Kartinah Kartinah Mujidin, Mujidin Muniratul Husna Nia Dharma Pertiwi Rizki Yanti Shalsabilla Rosita Yuniati Sigit Umar Anggono Silfania Oktaviani Zainab Canu