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All Journal Router : Jurnal Teknik Informatika dan Terapan Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Router : Jurnal Teknik Informatika dan Terapan
Merry Dwi Handayani
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Computer Science & IT

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Analisis Bibliometrik Perkembangan Software Piracy Di Kalangan Masyarakat Melalui Kajian Publikasi Riset Dari Indonesia Merry Dwi Handayani; Qoyyimil Jamilah; Aulia Hanifah; Nur Aini Rakhmawati
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 2 (2024): Juni : Router: Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v2i2.69

Abstract

The rapid and modern development of technology has created an increasing need for adequate software, but sometimes the cost of software is often a problem for some individuals and companies who want to use it. Software piracy has become a common problem in society, which is detrimental to copyright holders and threatens the security of user data. This research analyzes publications on software piracy and its impact on Indonesian law from 2019 to 2024. The method used in this research is bibliometric analysis by collecting data through Google Scholar. The results show five main clusters covering legal aspects and internet technology.  Through this analysis, it was found that the close relationship between software piracy and Law No. 11 of 2008 on Electronic Information and Transactions, Constitution No. 28 of 2014 on Copyright, Law No. 1 of 2023 on the criminal code, and Law No. 1 of 2024 on the second amendment to Law No. 11 of 2008 on Electronic Information and Transactions are very relevant in dealing with this problem. However, further analysis is needed to understand their practical implementation and effectiveness in addressing software piracy. This research shows the potential for further research in software piracy based on keywords that are rarely used in previous studies.
Evaluasi Kinerja AI berbasis Recurrent Neural Network (RNN) dalam Mengidentifikasi Ancaman Phising pada URL Website Nailah Azzahra; Merry Dwi Handayani; Awwaliyah Aliyah
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi Vol. 3 No. 3 (2025): Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/bridge.v3i3.485

Abstract

Phishing is an evolving form of cybercrime that targets users' sensitive information through URL manipulation. Conventional detection methods such as blacklists and signature-based approaches have become increasingly inadequate in addressing the dynamic variations of modern phishing attacks. This study evaluates the effectiveness of Recurrent Neural Network (RNN) variants, such Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), and Gated Recurrent Unit (GRU), in detecting phishing threats based on URL data. The methodology involves a Systematic Literature Review (SLR) of scholarly publications from the past ten years, complemented by experimental implementation of the models using a public dataset from Kaggle. Literature findings show that Bi-LSTM consistently achieves the highest accuracy, up to 99%, while GRU stands out for its computational efficiency. Experimental results support these findings, with Bi-LSTM achieving an accuracy of 96.22%, GRU 96.29%, and LSTM 95.43%. Classification metrics indicate that RNN-based models perform very well in detecting benign and defacement URLs, although their performance on phishing URLs remains challenged, particularly in terms of recall. These results confirm that RNNs remain a promising approach for phishing detection systems, especially when integrated into hybrid models with complementary architectures. This study is expected to provide a foundation for developing precise and adaptive AI systems to combat increasingly sophisticated phishing threats.
Analisis Bibliometrik Perkembangan Software Piracy Di Kalangan Masyarakat Melalui Kajian Publikasi Riset Dari Indonesia Merry Dwi Handayani; Qoyyimil Jamilah; Aulia Hanifah; Nur Aini Rakhmawati
Router : Jurnal Teknik Informatika dan Terapan Vol. 2 No. 2 (2024): Juni : Router: Jurnal Teknik Informatika dan Terapan
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/router.v2i2.69

Abstract

The rapid and modern development of technology has created an increasing need for adequate software, but sometimes the cost of software is often a problem for some individuals and companies who want to use it. Software piracy has become a common problem in society, which is detrimental to copyright holders and threatens the security of user data. This research analyzes publications on software piracy and its impact on Indonesian law from 2019 to 2024. The method used in this research is bibliometric analysis by collecting data through Google Scholar. The results show five main clusters covering legal aspects and internet technology.  Through this analysis, it was found that the close relationship between software piracy and Law No. 11 of 2008 on Electronic Information and Transactions, Constitution No. 28 of 2014 on Copyright, Law No. 1 of 2023 on the criminal code, and Law No. 1 of 2024 on the second amendment to Law No. 11 of 2008 on Electronic Information and Transactions are very relevant in dealing with this problem. However, further analysis is needed to understand their practical implementation and effectiveness in addressing software piracy. This research shows the potential for further research in software piracy based on keywords that are rarely used in previous studies.
Co-Authors Aulia Hanifah Awwaliyah Aliyah Nailah Azzahra Nur Aini Rakhmawati Qoyyimil Jamilah