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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi The IJICS (International Journal of Informatics and Computer Science) Journal of Innovation Information Technology and Application (JINITA) Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal Visi Pengabdian Kepada Masyarakat Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Pengabdian Pada Masyarakat Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal Ilmiah Universitas Satya Negara Indonesia Jurnal Sains dan Teknologi (KATERA)
Anita Sindar
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Penerapan Data Mining Klasifikasi Kepuasan Pelanggan Transportasi Online Menggunakan Algoritma C4.5 Nenitrolina Ndruru; Anita Sindar
Jurnal Sains dan Teknologi Vol. 1 No. 1 (2024): Edisi Februari
Publisher : Yayasan Grace Berkat Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69688/katera.v1i1.29

Abstract

Klasifikasi kepuasan pelanggan pengguna transportasi online merupakan suatu sikap positif atau respon pelanggan terhadap pelayanan penggunaan transportasi online. Pengklasifikasin kepuasan pengguna transportasi online ini dilakukan dengan tujuan untuk meningkatkan kualitas perusahaan khususnya di bidang pelayanan pengguna transportasi roda dua. Dalam penelitian ini, tingkat kepuasan pelanggan diklasifikasian dalam empat atribut yaitu harga, fasilitas, pelayanan, dan loyalitas sehingga dari ke empat atribut tersebut dapat diperoleh hasil pengklasifikasian tingkat kepuasan pelanggan dalam kategori puas dan tidak puas. Dengan menerapkan berbagai persamaan dan langkah-langkah mengenai perhitungan algoritma C4.5, yaitu dengan menghitung entropy, split info, gain dan nilai gain ratio dengan atribut Fasilitas, Pelayanan, Loyalitas, Kategori. Himpunan Atribut yaitu Sangat Puas, Puas, Cukup Puas, Tidak Puas, Sangat Tidak Puas.Input data sebanyak 155 data. Dari data tersebut maka dibagi 2 yaitu 100 data data latih (training) dan 55 data data uji (testing). klasifikasi kepuasan pelanggan “Tidak Puas” sebanyak 91 orang pelanggan, sedangkan yang “Tidak Puas” sebanyak 9 orang pelanggan.
ANALISIS ANCAMAN KEAMANAN JARINGAN SERTA IMPLEMENTASI FIREWALL, IDS, DAN IPS DALAM MENINGKATKAN PERLINDUNGAN SISTEM PADA LINGKUNGAN JARINGAN KOMPUTER Sophia Widiana; Sri Ayu Kartika; Reni Try Setianingsih; Reyna Aulia Zavira; Anita Sindar
Jurnal Ilmiah Universitas Satya Negara Indonesia Vol. 4 No. 2 (2026): Mei - October 2026
Publisher : Lembaga Penelitian, Publikasi, & Pengabdian kepada Masyarakat, Universitas Satya Negara Indonesia (LP3M-USNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59408/jisni.v4i2.115

Abstract

The development of information technology has increased the use of computer networks in various sectors, including educational settings. However, this increased network usage has also been accompanied by an increase in cybersecurity threats that can disrupt service availability and data security. One frequently encountered threat is a Distributed Denial of Service (DDoS) attack, which can degrade network performance and disrupt academic activities. This study aims to analyze network security threats and the implementation of firewalls, Intrusion Detection Systems (IDS), and Intrusion Prevention Systems (IPS) to improve system protection in computer network environments. The method used is a literature review with a qualitative descriptive approach through an analysis of several studies discussing DDoS attacks in educational environments. The results indicate that DDoS attacks can degrade the quality of network services and hinder user access to academic systems. Furthermore, the implementation of firewalls, IDS, and IPS has been proven to improve network security through more effective filtering, detection, and prevention of attacks. Based on the analysis, implementing layered security that combines firewalls, IDS, and IPS can be an effective solution for improving system protection and maintaining the stability of computer network services.
Classification of Coming‑of‑Age Song Lyrics Using Convolutional Neural Network (CNN) Architecture Arjon Samuel Sitio; Fricles Ariwisanto Sianturi; Anita Sindar
The IJICS (International Journal of Informatics and Computer Science) Vol. 10 No. 2 (2026): July
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v10i2.9775

Abstract

The coming-of-age theme in song lyrics is rich in emotional expressions, identity transitions, and nostalgia. This study implements a 1-Dimensional (1D) Convolutional Neural Network (CNN) architecture to automatically classify coming-of-age-themed song lyrics. Raw lyrics data were collected through a custom scraping function get_song_lyrics, which then went through a structured text preprocessing stage to remove stopwords and non-semantic components. The cleaned words were represented into a vector space using a pre-trained 50-dimensional GloVe embedding (GloVe 50d) of size (max_length, 50) to capture semantic relationships between words. A 1D CNN model was applied to extract local features in the form of phrase combinations (n-grams) through filter shifting, followed by a Global Max Pooling layer to filter out the most dominant emotional information before the final classification process. As a comparison method and additional analysis, a rule-based approach using TextBlob was applied to extract polarity and subjectivity scores, while the Word Cloud technique was used to visualize the dominance of transitional lexical terms such as grow, leave, and remember. The gap between training and validation performance suggests that the model learned dataset-specific patterns rather than generalized semantic representations. Similar overfitting behavior has been reported in CNN-based lyric and sentiment classification studies when training data are limited or insufficiently diverse. The results showed that the integration of GloVe 50d semantic representation and local feature extraction by 1D CNN was able to produce high and stable accuracy in recognizing the unique characteristics of song lyrics with a maturity theme.
ANALISIS ANCAMAN KEAMANAN JARINGAN SERTA IMPLEMENTASI FIREWALL, IDS, DAN IPS DALAM MENINGKATKAN PERLINDUNGAN SISTEM PADA LINGKUNGAN JARINGAN KOMPUTER Sophia Widiana; Sri Ayu Kartika; Reni Try Setianingsih; Reyna Aulia Zavira; Anita Sindar
Jurnal Ilmiah Universitas Satya Negara Indonesia Vol. 4 No. 2 (2026): Mei - October 2026
Publisher : Lembaga Penelitian, Publikasi, & Pengabdian kepada Masyarakat, Universitas Satya Negara Indonesia (LP3M-USNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59134/jisni.v4i2.115

Abstract

The development of information technology has increased the use of computer networks in various sectors, including educational settings. However, this increased network usage has also been accompanied by an increase in cybersecurity threats that can disrupt service availability and data security. One frequently encountered threat is a Distributed Denial of Service (DDoS) attack, which can degrade network performance and disrupt academic activities. This study aims to analyze network security threats and the implementation of firewalls, Intrusion Detection Systems (IDS), and Intrusion Prevention Systems (IPS) to improve system protection in computer network environments. The method used is a literature review with a qualitative descriptive approach through an analysis of several studies discussing DDoS attacks in educational environments. The results indicate that DDoS attacks can degrade the quality of network services and hinder user access to academic systems. Furthermore, the implementation of firewalls, IDS, and IPS has been proven to improve network security through more effective filtering, detection, and prevention of attacks. Based on the analysis, implementing layered security that combines firewalls, IDS, and IPS can be an effective solution for improving system protection and maintaining the stability of computer network services.
Co-Authors Arjon Samuel Sitio Arjon Samuel Sitio Arjon Sitio Aswin Aswin Dinda Tiara Elisa Nur Armaini Feby Ginting Fricles A Sianturi Gunadi Widi Nurcahyo Murni Marbun Nenitrolina Ndruru Petti Indrayati Sijabat Ravindran Reni Try Setianingsih Reyna Aulia Zavira Riska Novtari Zendrato Sethu Ramen Sophia Widiana Sri Ayu Kartika Sri Marliska Hutabarat Sumitra Dewi Yuhandri Yuhandri, Yuhandri