Claim Missing Document
Check
Articles

Found 2 Documents
Search

DETEKSI SERANGAN SQL INJECTION MENGGUNAKAN ALGORITMA MACHINE LEARNING PADA JARINGAN IOT Rasenda Rasenda; Susanto Susanto; Budi Arif Dermawan
JUTIM (Jurnal Teknik Informatika Musirawas) Vol. 10 No. 2 (2025): JUTIM (JURNAL TEKNIK INFORMATIKA MUSIRAWAS) DESEMBER
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jutim.v10i2.2795

Abstract

SQL Injection merupakan salah satu bentuk serangan siber yang paling berbahaya karena memungkinkan penyerang untuk mengakses, memodifikasi, atau menghapus data secara ilegal melalui manipulasi perintah SQL. Sistem deteksi berbasis aturan memiliki keterbatasan dalam menghadapi pola serangan baru yang bersifat dinamis dan sulit dikenali. Penelitian ini bertujuan mengembangkan model deteksi serangan SQL Injection dengan pendekatan machine learning menggunakan kombinasi Autoencoder dan Algoritma Machine Learning. Autoencoder digunakan untuk mengekstraksi fitur dan mendeteksi pola anomali pada data input, sedangkan Algoritma Machine Learning berperan sebagai model klasifikasi untuk membedakan antara permintaan normal dan serangan. Data yang digunakan terdiri atas payload berlabel yang mencakup input normal dan serangan SQL Injection, yang selanjutnya diproses melalui tahapan normalisasi, ekstraksi fitur, dan pelatihan model. Evaluasi dilakukan menggunakan metrik akurasi, precision, recall, dan F1-score. Hasil penelitian diharapkan menghasilkan model deteksi yang adaptif, mampu mengenali pola serangan baru, serta memiliki tingkat kesalahan deteksi yang rendah pada sistem keamanan jaringan IOT.
DIGITAL CONSUMER BEHAVIOR: BAGAIMANA TEKNOLOGI, ALGORITMA, DAN ARTIFICIAL INTELLIGENCE MENGUBAH CARA MANUSIA BERPIKIR, MERASA, DAN MENGAMBIL KEPUTUSAN Usman Andrianto; Rasenda Rasenda; Maria Suryaningsih; Rinawati Rinawati
JURNAL LENTERA BISNIS Vol. 15 No. 3 (2026): JURNAL LENTERA BISNIS, SEPTEMBER 2026
Publisher : POLITEKNIK LP3I JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34127/jrlab.v15i3.2518

Abstract

The rapid advancement of digital technologies, including the internet, social media, e-commerce platforms, online marketplaces, and artificial intelligence-based applications, has fundamentally transformed consumer behavior in the digital marketplace. Consumers are no longer passive recipients of marketing messages; instead, they actively seek information, evaluate alternatives, engage with brands, and make purchasing decisions through various digital channels. This transformation has led to the emergence of Digital Consumer Behavior as a critical determinant of marketing effectiveness and business sustainability in the digital economy. This study aims to examine the influence of Digital Consumer Behavior on Consumer Trust and Purchase Decision, as well as to investigate the mediating role of Consumer Trust in this relationship. A quantitative research approach was employed using a survey method involving 100 active digital platform users who had conducted online purchases within the previous six months. Respondents were selected through purposive sampling, and data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The empirical findings reveal that Digital Consumer Behavior has a positive and significant effect on Consumer Trust and Purchase Decision. Furthermore, Consumer Trust significantly influences Purchase Decision. The mediation analysis demonstrates that Consumer Trust significantly mediates the relationship between Digital Consumer Behavior and Purchase Decision. The coefficient of determination indicates that the model explains  of the variance in Consumer Trust of the variance in Purchase Decision having a strong relationship. These findings provide theoretical support for the integration of digital consumer behavior and consumer trust perspectives within contemporary marketing literature. From a managerial perspective, businesses should focus on delivering informative, interactive, and trustworthy digital experiences to strengthen consumer trust and enhance purchasing decisions. The study concludes that technological advancements have significantly reshaped how consumers acquire information, build trust, evaluate product alternatives, and make purchasing decisions in a faster, more efficient, and increasingly rational manner.