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All Journal METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi ILKOMEDIA: Jurnal Ilmu Komputer dan Multimedia Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Zafira A’idah Gunawan
IPB University
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science

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Implementasi Model YOLOv8 dan OCR pada Sistem ANPR untuk Monitoring Smart Drop-off Zone Zafira A’idah Gunawan; Mauladi Fadhillah; Anargya Rabbani Aslam; Mayanda Mega Santoni; Dodik Ariyanto; Faldiena Marcelita
Jurnal Ilmu Komputer dan Multimedia Vol. 3 No. 1 (2026): ILKOMEDIA Edisi Juni 2026
Publisher : Akademi Komunitas Negeri Putra Sang Fajar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46510/ilkomedia.v3i1.97

Abstract

Area drop-off pada lingkungan publik sering mengalami kemacetan akibat kendaraan berhenti melebihi batas waktu yang ditentukan. Proses pengawasan yang masih dilakukan secara manual dinilai kurang efisien karena membutuhkan tenaga tambahan dan memperlambat penindakan pelanggaran. Penelitian ini bertujuan mengimplementasikan sistem Automatic Number Plate Recognition (ANPR) berbasis YOLOv8 dan Optical Character Recognition (OCR) untuk monitoring Smart Drop-off Zone secara otomatis. Dataset penelitian diperoleh dari Roboflow Universe sebanyak 1.870 gambar kendaraan dan ditingkatkan menjadi 3.275 gambar melalui proses augmentasi seperti perubahan pencahayaan, rotasi, blur, dan penambahan noise. Proses augmentasi hanya diterapkan pada data training, sedangkan data validation dan testing tetap menggunakan data asli untuk menjaga objektivitas evaluasi. Model YOLOv8 Nano dilatih menggunakan 100 epoch dengan dua konfigurasi ukuran input, yaitu 640×640 piksel dan 416×416 piksel, untuk membandingkan performa model pada kondisi implementasi nyata. Hasil pengujian menunjukkan bahwa Eksperimen 1 dengan input 640×640 piksel memperoleh nilai mAP50 sebesar 0.9214, precision sebesar 0.9347, dan recall sebesar 0.8795, sedangkan Eksperimen 2 dengan input 416×416 piksel memperoleh mAP50 sebesar 0.8084. Meskipun Eksperimen 1 menghasilkan nilai evaluasi yang lebih tinggi, model Eksperimen 2 dipilih untuk implementasi karena menunjukkan stabilitas deteksi yang lebih baik pada berbagai kondisi lingkungan seperti pencahayaan rendah dan sudut kamera dari atas. Setelah proses deteksi plat nomor dilakukan, sistem OCR menggunakan PaddleOCR berhasil membaca karakter pada plat kendaraan secara otomatis. Sistem kemudian diintegrasikan ke dalam aplikasi berbasis web yang mampu melakukan pencatatan durasi kendaraan, deteksi pelanggaran, dan pengiriman notifikasi otomatis kepada pengguna. Hasil implementasi menunjukkan bahwa sistem ANPR yang dikembangkan mampu mendukung monitoring kendaraan pada area Smart Drop-off Zone secara lebih efektif dan efisien pada berbagai kondisi lingkungan.
PENGEMBANGAN SISTEM PEMESANAN KUE KERING BERBASIS WEB PADA UMKM DAPOER TABI Luna Falya Iskandar; Zafira A’idah Gunawan; Syahna Aulia Putri; Hanin Putri Sholiha; Aditya Wicaksono; Muhammad Nasir
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 2 (2026): Volume 12 Nomor 2 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i2.5714

Abstract

The current development of digital technology encourages Micro, Small, and Medium Enterprises (MSMEs) to transform their entire business processes, including Dapoer Tabi, a culinary pastry business that still records orders conventionally via WhatsApp and logbooks, making it prone to data recapitulation errors during high order volumes, complicating real-time stock monitoring, and lacking integrated sales reporting. This study aims to design and develop a web-based pastry ordering system to digitalize the business processes at MSME Dapoer Tabi through the implementation of the Prototyping methodology, which includes the stages of requirements gathering, quick design, prototype development, prototype testing, and refinement. Based on the testing results using the black box testing method on 9 main test scenarios, all features on the platform functioned properly without any issues and achieved a 100% functional system success rate. The implementation of this online ordering system provides significant practical benefits for Dapoer Tabi in simplifying the customer ordering process, making administrative transaction recording more efficient, and digitally expanding its marketing reach.
Sistem Pengelolaan Toko Hewan Peliharaan Petify Berbasis Website Zafira A’idah Gunawan; Fadilla Julianifa Putri; Raina Disa Wibowo; Cahaya Elisabet Butarbutar; Hanin Putri Sholiha; Aditya Wicaksono; Gema Parasti Mindara; Inna Novianty; Lathifunnisa Fatonah; Endang Purnama Giri
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 01 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i01.590

Abstract

Manual operational data management in pet shops often causes problems, such as inaccurate stock data, difficulty in tracing transaction history, and inefficient services. The goal of this study is to create and build a website-based pet shop management system called Petify. This system was developed to provide an integrated platform for administrators to centrally manage product data, grooming services, scheduling, transactions, and suppliers. The system development method used is the Waterfall model, which includes the stages of requirements analysis, system design, implementation, and testing. In the system design stage, system modeling was carried out using ERD and DFD, as well as user interface (UI/UX) designs tailored to the needs of administrators. The result of this research is a website-based information system that can replace manual recording and simplify store operations. Based on system testing using the Black Box Testing method with the Equivalence Partitioning approach, all functional features of the system were proven to work well and valid according to user needs. The implementation of Petify is expected to improve store management efficiency and service quality for customers.
Co-Authors Aditya Wicaksono Anargya Rabbani Aslam Cahaya Elisabet Butarbutar Dodik Ariyanto Endang Purnama Giri Fadilla Julianifa Putri Gema Parasti Mindara Hanin Putri Sholiha Inna Novianty Lathifunnisa Fatonah Luna Falya Iskandar Marcelita, Faldiena Mauladi Fadhillah Nasir, Muhammad Raina Disa Wibowo Santoni, Mayanda Mega Syahna Aulia Putri