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PERANAN IT SECURITY DALAM MENGAMANKAN INFRASTRUKTUR DAN TRANSAKSI DI PERUSAHAAN E-COMMERCE Nur, Aryanto; Hafid, Danang Abu
Kohesi: Jurnal Sains dan Teknologi Vol. 4 No. 10 (2024): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v4i10.6528

Abstract

Pertumbuhan yang cepat di bidang teknologi informasi dan komunikasi telah mengubah cara perusahaan beroperasi, terutama di sektor e-commerce. Perusahaan e-commerce kini dapat menawarkan layanan lebih cepat dan efisien kepada konsumen, namun peningkatan ketergantungan pada teknologi juga meningkatkan risiko terkait keamanan data dan transaksi digital. Dalam konteks ini, keamanan IT (IT Security) memainkan peran penting dalam menjaga infrastruktur teknologi informasi dan melindungi data sensitif yang dipertukarkan selama transaksi online. Ancaman seperti serangan Distributed Denial of Service (DDoS), pencurian identitas, malware, dan penipuan transaksi merupakan tantangan utama yang harus dihadapi oleh perusahaan e-commerce. Tanpa strategi keamanan yang kuat, perusahaan e-commerce dapat kehilangan kepercayaan pelanggan, mengalami kerugian finansial, dan merusak reputasi mereka di pasar. Penelitian ini bertujuan untuk mengeksplorasi berbagai teknologi keamanan yang dapat diterapkan oleh perusahaan e-commerce, seperti enkripsi data, firewall, dan sistem deteksi intrusi (IDS/IPS). Selain itu, penelitian ini juga menganalisis pentingnya kepatuhan terhadap regulasi keamanan data, seperti Payment Card Industry Data Security Standard (PCI DSS), yang dirancang untuk melindungi transaksi kartu kredit. Dengan menggunakan pendekatan studi literatur, hasil penelitian ini diharapkan dapat memberikan wawasan mendalam mengenai peran strategis IT Security dalam mengamankan infrastruktur e-commerce dan menjaga kepercayaan konsumen di era digital. The rapid evolution of information and communication technology has transformed the way companies operate, particularly in the e-commerce sector. E-commerce companies can now offer services more quickly and efficiently to consumers; however, the increased reliance on technology also heightens the risks associated with data security and digital transactions. In this context, IT security plays a crucial role in safeguarding the information technology infrastructure and protecting sensitive data exchanged during online transactions. Threats such as Distributed Denial of Service (DDoS) attacks, identity theft, malware, and transaction fraud are primary challenges that e-commerce companies must face. Without a robust security strategy, e-commerce companies may lose customer trust, incur financial losses, and damage their reputation in the market. This study aims to explore various security technologies that can be implemented by e-commerce companies, such as data encryption, firewalls, and intrusion detection systems (IDS/IPS). Additionally, this research the relevance of compliance with data security regulations, such as. the Payment Card Industry Data Security Standard (PCI DSS), which is designed to protect credit card transactions. By utilizing a literature study approach, the findings of this research are expected to provide in-depth insights into the strategic role of IT security in securing e-commerce infrastructure and maintaining consumer trust in the digital age.
ANALISIS SENTIMEN ULASAN PENGGUNA BINANCE DI GOOGLE PLAY MENGGUNAKAN ALGORITMA NAÏVE BAYES DAN SUPPORT VECTOR MACHINE DENGAN TEKNIK SMOTE Fahlapi, Riza; Hafid, Danang Abu; Abdurrazaq, Abdurrazaq; Abulkhoir, Moh. Azam; Kurniawan, Bebi; Garamba, Yafianus
Kohesi: Jurnal Sains dan Teknologi Vol. 6 No. 11 (2025): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v6i11.10616

Abstract

Penelitian ini bertujuan untuk menganalisis sentimen ulasan pengguna aplikasi Binance di Google Play menggunakan dua algoritma pembelajaran mesin, yaitu Naïve Bayes (NB) dan Support Vector Machine (SVM). Untuk menangani masalah ketidakseimbangan kelas dalam data, diterapkan teknik SMOTE (Synthetic Minority Over-sampling Technique). Data yang digunakan dalam penelitian ini diambil dengan metode web scraping pada ulasan aplikasi Binance, dengan data yang disaring berdasarkan ulasan terbaru dan rating. Hasil eksperimen menunjukkan bahwa dengan penerapan SMOTE, baik algoritma Naïve Bayes maupun SVM memberikan peningkatan yang signifikan pada akurasi serta metrik evaluasi lainnya seperti precision, recall, dan F1-score. Secara keseluruhan, penelitian ini menunjukkan bahwa teknik SMOTE efektif dalam menangani ketidakseimbangan kelas pada analisis sentimen ulasan aplikasi. This study aims to analyze the sentiment of Binance app user reviews on Google Play using two machine learning algorithms, namely Naïve Bayes (NB) and Support Vector Machine (SVM). To overcome the problem of class imbalance in the data, the SMOTE (Synthetic Minority Over-sampling Technique) technique is applied. The data used in this study was taken using the web scraping method on Binance app reviews, with data filtered based on the latest reviews and ratings. The experimental results show that with the application of SMOTE, both the Naïve Bayes and SVM algorithms provide significant improvements in accuracy and other evaluation metrics such as precision, recall, and F1-score. Overall, this study shows that the SMOTE analysis technique is effective in handling class synchrony in app review sentiment.