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All Journal Atta'dib Jurnal Pendidikan Agama Islam Teknik: Jurnal Ilmu Teknik dan Informatika
Alfarizi Wijaya
Universitas Negeri Medan
Religion Computer Science & IT Education Languange, Linguistic, Communication & Media Other

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THE INTENSITY OF E-COMMERCE USAGE AND THE CONSUMPTIVE LIFESTYLE OF PSIK 24 STUDENTS FROM AN ISLAMIC EDUCATION PERSPECTIVE Alfarizi Wijaya; Nafil Rizq Trianto; Calvin Sahputra Buulolo; Irfan Zaky Muchtar
Atta'dib Jurnal Pendidikan Agama Islam Vol. 7 No. 1 (2026)
Publisher : IAIN Bone

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30863/attadib.v7i1.11483

Abstract

The rapid growth of e-commerce has significantly altered university students' consumption patterns, often facilitating a consumptive lifestyle. This study aims to examine the causal effect of e-commerce usage intensity on the consumptive lifestyle of PSIK 24 students at Universitas Negeri Medan, analyzed through the perspective of Islamic Education. Employing a quantitative approach with a survey method, data were collected via structured questionnaires from a saturated sample of 30 students. The data were analyzed using descriptive statistics and simple linear regression to test the causal relationship. The findings reveal a significant positive effect of e-commerce usage intensity on consumptive lifestyle (p<0.05), accounting for 41% of the variance in students' consumptive behavior. Descriptively, students exhibited high e-commerce engagement and notable consumptive tendencies driven by digital promotions. From an Islamic Education perspective, such behavior reflects israf (excessiveness), which contradicts the principles of wasathiyah (moderation) and qana’ah (contentment). Consequently, students must internalize Islamic values and strengthen self-control to manage their consumption behavior in the digital era responsibly
Perancangan Sistem Penerjemah Bahasa Isyarat bagi Tunarungu dan Tunawicara Berbasis Pengolahan Citra Digital dan Text-to-Speech Nafil Rizq Trianto; Alfarizi Wijaya; Arion Pardede; Daniel Pandiangan; Hermawan Syahputra
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 6 No. 1 (2026): Mei : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v6i1.1156

Abstract

Communication is an essential human right, yet a significant communication gap persists between individuals with sensory disabilities, specifically the deaf and speech-impaired, and the general public. While many technological solutions have been proposed to translate sign language, existing models primarily rely on heavy deep learning architectures such as Convolutional Neural Networks (CNN) or Recurrent Neural Networks (RNN/LSTM). These models often demand high computational power, leading to latency and limiting real-time application on standard devices. This study proposes a lightweight, fast, and highly responsive sign language translation system specifically designed to recognize static alphabets (A-Z) and single-character air writing. The system utilizes MediaPipe for hand tracking, where feature extraction is intelligently processed by calculating the relative spatial coordinates of fingertips to the wrist, reducing dependency on raw camera coordinates. Classification is performed using a Support Vector Machine (SVM) with a Radial Basis Function (RBF) kernel, prioritizing computational efficiency without sacrificing accuracy. To enhance user experience, the system introduces three key novelties: smart relative feature extraction, an anti-duplication hold system with a 1-second timer to prevent input spamming, and a non-blocking multithreaded audio execution (Daemon Thread) utilizing Google Text-to-Speech (gTTS), ensuring the webcam feed remains fluid during audio playback. Additionally, an alternative air-writing mode is integrated, utilizing geometric heuristics and PyTesseract OCR to read single drawn letters in the air. The results indicate that the proposed system operates swiftly and efficiently, bridging the communication barrier with a hardware-friendly approach.
Co-Authors Arion Pardede Calvin Sahputra Buulolo Daniel Pandiangan Hermawan Syahputra Irfan Zaky Muchtar Nafil Rizq Trianto