Hanin Putri Sholiha
IPB University

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IMPLEMENTASI HOUGH CIRCLE TRANSFORM DAN ORB UNTUK DETEKSI KLASIFIKASI NOMINAL KOIN RUPIAH Maulana Zulfan Azka; Hanin Putri Sholiha; Syahna Aulia Putri; Muhammad Mahardicka Alfattah Zelda; Endang Purnama Giri; Gema Parasti Mindara
Informasi Interaktif : Jurnal Informatika dan Teknologi Informasi Vol 11 No 2 (2026): Jurnal Informasi Interaktif
Publisher : Program Studi Informatika Fakultas Teknik Universitas Janabadra

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Abstract

Manual coin counting and classification in high-volume transactions are often inefficient and prone to human error. In computer vision implementations, the primary challenges in coin detection are lighting variations and changes in image scale, rendering conventional area-based methods inaccurate. This study aims to develop a coin detection system robust to changes in camera distance and lighting conditions. The proposed method combines the Hough Circle Transform algorithm for detecting geometric coin locations and ORB (Oriented FAST and Rotated BRIEF) for classifying denominations based on surface texture feature matching. The system is equipped with an adaptive learning mechanism (Human-in-the-Loop), allowing users to interactively train the system upon encountering new coin variants or unrecognized coins. Test results indicate that the combination of CLAHE (Contrast-Limited Adaptive Histogram Equalization) pre-processing and Hough detection successfully isolates overlapping circular objects, while the feature matching method effectively distinguishes coin denominations with similar diameters but distinct textures. It is concluded that integrating texture analysis with user manual correction features significantly enhances system accuracy and flexibility compared to static contour-based detection methods.
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.