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All Journal CommIT (Communication & Information Technology) ComTech: Computer, Mathematics and Engineering Applications Engineering, Mathematics and Computer Science Journal (EMACS) International Journal of Computer Science and Humanitarian AI
Alexander Agung Santoso Gunawan
Bina Nusantara University
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics

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Journal : International Journal of Computer Science and Humanitarian AI

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A Systematic Literature Review: Cyber Attack: Phishing Environments, Techniques, and Detection Mechanism Cindy Natasya; Irvin Irvin; Alexander Agung Santoso Gunawan
International Journal of Computer Science and Humanitarian AI Vol. 1 No. 1 (2024): IJCSHAI
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/ijcshai.v1i1.12155

Abstract

In this digital era, phishing has attacked many platforms such as email, website, message, link form. Phishing is an act of creating a website that is exactly like the original website that is used to take someone's personal data. Phishing causes loss of customer confidence to use any application or website. Most of the victims of phishing are people who do not understand phishing or an organization. This kind of cyber-attacks consist of various types and countermeasures that need to be considered for the public user to prevent phishing based on phishing techniques, educate individuals about these attacks, and encourage the use of phishing prevention techniques. This paper consists of types of phishing and awareness to wary of phishing to overcome them. Therefore, the goal of this study is to identify the most typical environments for phishing attacks in order to ascertain the most popular media and technique. The authors of this study plan to conduct a Systematic Literature Review (SLR) of studies that have been done on the subject that was just described. The authors come to the overall conclusion that a website is the ideal option for phishing attacks using social engineering techniques. Additionally, the authors offer numerous suggestions for preventing phishing with various techniques. However, the most effective defense against phishing attacks is identification of phishing attempts through education and training.
Systematic Literature Review of The Use of Music Information Retrieval in Music Genre Classification M. Aqila Budyputra; Achmad Reyfanza; Alexander Agung Santoso Gunawan; Muhammad Edo Syahputra
International Journal of Computer Science and Humanitarian AI Vol. 2 No. 1 (2025): IJCSHAI
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/ijcshai.v2i1.13019

Abstract

Emphasizing deep learning models such as Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), this article explores the application of Music Information Retrieval (MIR) techniques in music genre categorization. These algorithms outperform traditional methods in capturing complex audio patterns, showcasing their potential in advancing music classification tasks. Accurate genre classification critically depends on key features such as spectral, temporal, and timbral characteristics, which play a pivotal role in distinguishing musical styles. However, the performance of these models is heavily influenced by the quality and diversity of the training datasets. Additionally, challenges like model interpretability and reliance on large datasets are addressed. This research utilized a Systematic Literature Review (SLR) to investigate the capabilities of advanced MIR techniques in enhancing music categorization systems, particularly for educational applications and personalized music recommendations. The findings reveal that analyzing the importance of spectral, temporal, and timbral features—key components of MIR—can significantly boost the accuracy and reliability of music genre classification.
Developing Intelligent GeoDashboard Platform for the Downstream of Nickel, Bauxite, Cobalt, and Silica: Systematic Literature Review Andrea Sutanto; Raditya Tamam; Alexander Agung Santoso Gunawan
International Journal of Computer Science and Humanitarian AI Vol. 2 No. 2 (2025): IJCSHAI
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/ijcshai.v2i2.14415

Abstract

Indonesia possesses abundant natural resources, including nickel, bauxite, cobalt, and silica, which are essential for industries such as battery production, construction, and green technology. To maximize their economic value, the Indonesian government has implemented downstream policies that require domestic processing before export. Effective resource management is crucial for the success of these policies and the national economy. This study conducts a systematic literature review to examine how downstream policies are implemented in different countries (RQ1), analyze cases of downstream disputes and their solutions (RQ2), and explore the impact of technology and Global Value Chains (GVCs) on these policies (RQ3). A structured methodology is used to collect and analyze relevant literature, highlighting best practices and key challenges. Findings show that countries with strong regulations and technological innovation achieve better downstream outcomes. Past disputes reveal the need for strategic policymaking and technological adaptation to avoid risks. In this context, the PetaHilirisasi platform offers a smart solution by integrating geospatial technology and artificial intelligence to monitor and manage mineral resources efficiently. This platform helps optimize downstream processes, improve operational efficiency, and reduce environmental impact. PetaHilirisasi demonstrates the potential of digital solutions in strengthening Indonesia’s downstream sector. By leveraging technology, Indonesia can enhance the value of its natural resources while promoting sustainable development in the mineral industry,
Co-Authors Achmad Reyfanza Anderies Anderies Andrea Sutanto Arie Qur’ania Ayunda Raaziqi Cindy Agustina Cindy Natasya Dewi Suryani Edy Irwansyah Irvin Irvin Lili Ayu Wulandhari M. Aqila Budyputra Muhammad Edo Syahputra Novita Hanafiah Noviyanti T. M. Sagala Prihastuti Harsani Raditya Tamam Reza A Prasetyo Tania Lipiena Triastinurmiatiningsih, Triastinurmiatiningsih Victoria Ivy Tansil Yongki Christian Sanjaya