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PENERAPAN TEKNOLOGI OCR PLAT NOMOR UNTUK MENINGKATKAN EFISIENSI DAN KEAMANAN AKSES KENDARAAN Nasywa Shafa Salsabila; Setiady Ibrahim Anwar; Ibnu Aqil Mahendar; Azhar Nadhif Annaufal; Mochammad Alwan Al Ataya; Endang Purnama Giri; Gema Parasti Mindara
Journal of Scientech Research and Development Vol 6 No 2 (2024): JSRD, December 2024
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v6i2.594

Abstract

Pertumbuhan jumlah kendaraan di Indonesia yang signifikan setiap tahunnya meningkatkan kebutuhan akan solusi yang efisien dan aman untuk manajemen akses kendaraan semakin meningkat. Penelitian ini mengkaji penerapan teknologi Optical Character Recognition (OCR) pada plat nomor untuk meningkatkan efisiensi dan keamanan dalam akses kendaraan, khususnya di area yang membutuhkan kontrol ketat seperti perkantoran dan pusat perbelanjaan. Metode yang digunakan adalah pendekatan kuantitatif eksperimental untuk menguji tingkat akurasi OCR dalam mengenali karakter pada plat nomor kendaraan. Hasil menunjukkan bahwa OCR mampu mencapai tingkat akurasi rata-rata 72% dalam mendeteksi plat nomor dan area asal kendaraan. Teknologi ini berpotensi besar meningkatkan efisiensi akses serta keamanan, mengurangi antrian, dan memudahkan pengelolaan area parkir.
Strategi Kreavoks dalam Mengembangkan Jasa Digital untuk Mempersiapkan Generasi Muda Menghadapi Industri 4.0 Setiady Ibrahim Anwar; Hafiz Fadli Faylasuf; Muhammad Alwan Ataya; Wien Kuntari
Jurnal Bisnis Kreatif dan Inovatif Vol. 1 No. 4 (2024): Desember : Jurnal Bisnis Kreatif dan Inovatif
Publisher : Asosiasi Riset Ilmu Manajemen dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jubikin.v1i4.395

Abstract

With the growth of technological innovation and the shift of the digital era in various aspects of industry, the younger generation is faced with major challenges in preparing themselves for the technology-based world of work. This study focuses on Kreavoks, a digital agency that provides services such as digital skills training, SEO-optimized website creation, and branding kit design. The purpose of this study is to explore how Kreavoks develops its digital services to prepare the younger generation with the skills needed to face the challenges of Industry 4.0. Using a qualitative descriptive approach, this study analyzes the strategies implemented by Kreavoks in integrating technology, branding, and marketing to improve the digital capabilities of the younger generation. The research findings show that Kreavoks' training program improves participants' technical skills and deepens their understanding of digital branding and SEO. Despite its success, challenges such as differences in technological understanding and limited infrastructure remain obstacles. This study has an impact on the development of digital services that can prepare the younger generation to face the demands of Industry 4.0.
Analysis and Testing of the Combox Web Application System Using Black Box Testing with the Equivalence Partitioning Method Dini Nurul Azizah; Ibnu Aqil Mahendar; Muhammad Fillah Alfatih; Setiady Ibrahim Anwar; Nabil Malik Al Hapid; Aditya Wicaksono; Gema Parasti Mindara
International Journal of Electrical Engineering, Mathematics and Computer Science Vol. 1 No. 4 (2024): December : International Journal of Electrical Engineering, Mathematics and Com
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijeemcs.v1i4.118

Abstract

This research focuses on evaluating the Combox web application, a digital tool designed to help Food and Beverage (F&B) business owners strengthen their online presence. The analysis was carried out through Black Box Testing, specifically using the Equivalence Partitioning method, to assess core functionalities like login, logout, product management, and pagination. The findings reveal that while most features function as intended, there are issues with product addition and editing, as well as pagination when no data is available. These results highlight areas that need refinement to improve the application’s reliability and user experience. In summary, this research supports the advancement of a digital platform that enables F&B businesses to harness technology effectively in today’s competitive landscape.
E-Commerce FreezeMart untuk Penjualan Frozen Food dengan Sistem Rekomendasi Berbasis Content-Based Filtering Aditya Wicaksono; Setiady Ibrahim Anwar; Muhammad Al Amin; Rizki Juliansyah; Arya Dimas Wicaksana; Gema Parasti Mindara
Jurnal ICT: Information Communication & Technology Vol. 25 No. 1 (2025): JICT-IKMI, July, 2025
Publisher : LPPM STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kemajuan teknologi digital mendorong perkembangan platform e-commerce yang memudahkan transaksi secara cepat dan fleksibel. Penelitian ini membahas FreezeMart, situs e-commerce untuk penjualan makanan beku yang dilengkapi sistem rekomendasi terpersonalisasi. Sistem memanfaatkan content-based filtering dan analisis histori pembelian untuk menyarankan produk yang relevan. Masukan pengguna diproses menggunakan teknik Natural Language Processing seperti TF-IDF untuk mencocokkan preferensi dengan atribut produk. Pengembangan dilakukan dengan metode Agile Scrum dan mencakup tiga peran utama: guest, customer, dan admin. Pengguna dapat mengelola pesanan dan memperoleh rekomendasi sesuai kebutuhan, sementara admin bertanggung jawab atas pengelolaan sistem. Sistem rekomendasi yang diimplementasikan terbukti mampu meningkatkan pengalaman belanja pengguna. Pada tahap selanjutnya, pengembangan sistem dapat difokuskan pada penerapan collaborative filtering serta peningkatan kinerja platform.