<mets:mets OBJID="eprint_32019" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-3.xsd" xmlns:mets="http://www.loc.gov/METS/" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><mets:metsHdr CREATEDATE="2026-07-21T07:17:33Z"><mets:agent ROLE="CUSTODIAN" TYPE="ORGANIZATION"><mets:name>EPrints Universitas Amikom Yogyakarta</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_eprint_32019_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:titleInfo><mods:title>{JALUR NON REGULER - LOMBA} PERANCANGAN DAN IMPLEMENTASI ANTARMUKA APLIKASI&#13;
E-COMMERCE BERBASIS MOBILE MENGGUNAKAN JETPACK COMPOSE PADA &#13;
KOMPETISI HACKATHON REFACTORY</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">Kalila Atha</mods:namePart><mods:namePart type="family">Achmad</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>Di tengah persaingan industri mobile commerce (m-commerce) yang ketat,&#13;
inovasi fitur menjadi kunci untuk meningkatkan nilai guna aplikasi bagi konsumen.&#13;
Laporan ini memaparkan pengembangan prototipe Kalana Commerce, sebuah&#13;
aplikasi m-commerce pangan yang tidak hanya melayani transaksi jual-beli, tetapi&#13;
juga menawarkan nilai tambah melalui integrasi kecerdasan buatan. Dalam proyek&#13;
ini, penulis bertindak sebagai Front-End Engineer yang bertanggung jawab&#13;
menerjemahkan brief desain UI/UX menjadi kode antarmuka native dan&#13;
mengintegrasikannya dengan layanan backend berbasis Express.js API.&#13;
Aplikasi ini dibangun menggunakan teknologi Jetpack Compose dengan&#13;
arsitektur MVVM untuk menghasilkan performa tinggi dan pengalaman pengguna&#13;
yang mulus. Meskipun fungsi utamanya adalah platform belanja, keunggulan&#13;
kompetitif prototipe ini terletak pada implementasi fitur AI Chatbot yang berperan&#13;
sebagai asisten belanja interaktif, serta fitur Indikasi Kesegaran (Freshness&#13;
Indication) yang memberikan transparansi visual mengenai kondisi produk secara&#13;
akurat. Melalui kolaborasi teknis yang intensif dalam batasan waktu kompetisi&#13;
Hackathon Refactory, penulis berhasil menghadirkan prototipe fungsional yang&#13;
menggabungkan kemudahan transaksi m-commerce dengan kecerdasan fitur&#13;
prediktif. Keberhasilan pengembangan ini divalidasi dengan pencapaian sebagai&#13;
Juara 1, membuktikan bahwa integrasi fitur cerdas pada platform belanja mampu&#13;
memberikan solusi efektif bagi permasalahan efisiensi dan limbah pangan.</mods:abstract><mods:classification authority="lcc">000 Ilmu komputer, informasi dan pekerjaan umum</mods:classification><mods:classification authority="lcc">004 Pemrosesan data dan ilmu komputer</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2026-01-26</mods:dateIssued></mods:originInfo><mods:originInfo><mods:publisher>Universitas AMIKOM Yogyakarta;Fakultas Ilmu Komputer</mods:publisher></mods:originInfo><mods:genre>Thesis</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_eprint_32019"><mets:rightsMD ID="rights_eprint_32019_mods"><mets:mdWrap MDTYPE="MODS"><mets:xmlData><mods:useAndReproduction>
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