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Perancangan Aplikasi Belens : Pemindai Minuman untuk Penilaian Kualitas dan Komposisi Berbasis Gambar Edison; Whenjaya, Calvin; Tang, Steven; Lia Febrianti, Eka
Journal of Digital Ecosystem for Natural Sustainability Vol 5 No 1 (2025): Juli 2025
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v5i1.281

Abstract

Jurnal ini menyajikan desain aplikasi Belens, aplikasi mobile berbasis Android untuk analisis minuman melalui teknologi pemrosesan gambar dan kecerdasan buatan. Penelitian ini memiliki beberapa fokus antara lain persyaratan perangkat lunak, desain arsitektur sistem, dan desain permukaan pengguna. Metodologi Desain Menggunakan Software Development Life Cycle (SDLC) dengan pendekatan waterfall yang menekankan persyaratan sistem dan analisis desain yang sistematis. Hasil desain meliputi persyaratan fungsional seperti pemindaian gambar dan analisis minuman, kebutuhan non-fungsional seperti kemampuan keselamatan dan respons, dan visualisasi sistem melalui diagram aplikasi, diagram aktivitas dan diagram kelas. Dokumen ini juga menyediakan desain antarmuka pengguna dan aliran interaksi yang memprioritaskan keramahan pengguna. Desain aplikasi Belens diharapkan membentuk dasar untuk pengembangan sistem minuman, dengan pengguna yang menerima informasi konfigurasi visual dan efisien dan kualitas minuman.
VEGECHAIN: SMART CONTRACT MARKETPLACE FOR VEGETARIAN SUPPLY CHAIN OPTIMIZATION Febrianti, Eka Lia; Suryadi , Agus; Syafrinal , Ilwan; Andhika, Andhika
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 4 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i4.4076

Abstract

Abstract: The global transition towards sustainable food systems faces significant challenges in vegetarian food supply chains, including transparency issues, distribution inefficiencies, and quality verification problems. This research proposes VegeChain development, a decentralized marketplace ecosystem based on smart contracts designed to transform vegetarian food supply chains and accelerate Meatless, Balanced, Green (MBG) program adoption. Using mixed-method methodology integrating blockchain system design, stakeholder analysis, and economic simulation, this research develops a comprehensive technology framework combining blockchain transparency, smart contract automation, and sustainable tokenomics with novel mathematical models. The system implements dynamic pricing algorithms based on Automated Market Maker (AMM) mechanisms, multi-objective optimization for supply chain efficiency, and reputation-based consensus protocols. Simulation results demonstrate that VegeChain implementation can improve supply chain efficiency by 35%, reduce food waste by 28%, and increase consumer trust by 42% measured through validated stakeholder satisfaction surveys (n=456) using 5-point Likert scales with statistical significance p<0.001. Technical innovations include Byzantine Fault Tolerant consensus with 99.9% reliability, gas optimization achieving 67% cost reduction, and real-time quality verification algorithms with 98.7% accuracy. Keywords: smart contracts; supply chain optimization; automated market makers; blockchain technology; sustainable tokenomics