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All Journal JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Atta'dib Jurnal Pendidikan Agama Islam Teknik: Jurnal Ilmu Teknik dan Informatika MUARA PENDIDIKAN : Jurnal Ilmiah Ilmu Pendidikan & Sosial Humaniora
Nafil Rizq Trianto
Universitas Negeri Medan
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics 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
BekasMart: Marketplace C2C Berbasis Web dengan Fitur Lelang dan Penjualan Langsung Nafil Rizq Trianto; Azril Arfansyah; Arion Pardede; Debi Yandra Niska
JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Vol. 8 No. 1 (2026): Juni 2026
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jasiek.v8i1.17157

Abstract

Customer to Customer (C2C) transactions on social media were often hindered by manual bid recapitulation and bid-and-run fraud risks due to the absence of an integrated platform. This study designed and developed a web-based C2C marketplace information system named BekasMart, integrating direct sales and auction features using a Guest System architecture. The Waterfall method was applied, covering requirements analysis, system design using Unified Modeling Language (UML), implementation with the CodeIgniter 4 framework, and Black Box Testing. Results demonstrated that the Guest System architecture, based on WhatsApp number validation, successfully facilitated transactions without conventional login bureaucracy. Transaction security was maintained through an Escrow (Rekber) mechanism and WhatsApp Direct Link integration. Functional testing confirmed the system processed bids automatically with a 100% success rate.
Analisis Ejaan dan Kelogisan Kalimat pada Judul Video Clickbait di YouTube Indonesia Nafil Rizq Trianto; Ammar Kamil Al-Abror; Augis Dinanti; Khairany Zuhriyyah Jinan Hsb
MUARA PENDIDIKAN : Jurnal Ilmiah Ilmu Pendidikan & Sosial Humaniora Vol. 2 No. 3 (2026): MURADIK
Publisher : CV MUARA EDUKASI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64365/muradik.v2i3.333

Abstract

Perkembangan media digital telah mengubah pola konsumsi informasi masyarakat secara signifikan, khususnya melalui YouTube sebagai platform audiovisual dominan di Indonesia. Penelitian ini menganalisis penyimpangan ejaan dan ketidaklogisan kalimat pada judul video clickbait di YouTube Indonesia. Dengan menggunakan pendekatan kualitatif deskriptif, data dikumpulkan dari judul-judul video trending di platform YouTube regional Indonesia melalui teknik observasi, dokumentasi, dan catat. Analisis data dilakukan menggunakan model kualitatif interaktif yang mencakup reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian mengungkapkan empat bentuk manipulasi linguistik utama: (1) ejaan modifikatif melalui penggunaan huruf kapital penuh dan tanda baca berlebihan; (2) penyimpangan sintaksis berupa struktur kalimat tidak lengkap atau sengaja digantung; (3) diksi provokatif yang menggunakan kosakata bermuatan emosional seperti "viral," "terbongkar," dan "geger"; serta (4) gaya bahasa hiperbola dan inflammatory. Elemen-elemen linguistik tersebut dikonstruksi secara sengaja untuk mengeksploitasi rasa penasaran psikologis dan memicu perilaku klik pengguna. Namun, dalam jangka panjang, ketidaksesuaian antara judul sensasional dan isi video yang sesungguhnya berkontribusi pada menurunnya kepercayaan publik terhadap ruang informasi digital. Penelitian ini menegaskan pentingnya literasi media digital dalam mengenali dan mengevaluasi secara kritis praktik bahasa clickbait.
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 Alfarizi Wijaya Ammar Kamil Al-Abror Arion Pardede Arion Pardede Augis Dinanti Azril Arfansyah Calvin Sahputra Buulolo Daniel Pandiangan Hermawan Syahputra Irfan Zaky Muchtar Khairany Zuhriyyah Jinan Hsb Niska, Debi Yandra