Ahshonat Khoerunnisa
Politeknik Manufaktur Bandung

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Performance Evaluation of CLAHE-Enhanced Edge Detection on Low-Light Faces Duddy Arisandi; Ahshonat Khoerunnisa; Ruminto Subekti; Aan Eko Setiawan; Cepi Ramdani
Journal of Computing Innovations and Emerging Technologies Vol. 1 No. 1 (2025): Volume 1 No 1
Publisher : novamindpress

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64472/jciet.v1i1.2

Abstract

Edge detection is an important early stage in an image processing-based face detection system. However, the quality of edge detection is highly dependent on the lighting and contrast of the input image. A common problem is the low contrast quality of facial images, which causes edge detection results to be suboptimal, especially in low-light images. This study evaluates the effect of the use of the Contrast Limited Adaptive Histogram Equalization (CLAHE) method on edge detection performance using Canny operators. Two scenarios were tested: edge detection without preprocessing and edge detection after image processing with CLAHE. Evaluation was carried out using two metrics: the number of contours and the total area of the contours of the detected results. The test results showed that the use of CLAHE consistently increased the number of contours and stabilized the contour area distribution, indicating an increased sensitivity to facial edge details. Although an increase in the number of contours can increase the risk of noise detection, the results suggest that CLAHE is able to clarify facial structures that were previously uncaptured. CLAHE has proven to be effective as an image enhancement method in edge detection-based facial detection systems
Design and Development of an IoT-Based Prototype System for Monitoring the Care of Dendrobium Orchids Ahshonat Khoerunnisa; Aan Eko Setiawan; Azwar Mudzakkir Ridwan; Alma Nurshiyami; Siti Hardianti Yuningsih
CoreID Journal Vol. 3 No. 3 (2025): November 2025
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v3i3.118

Abstract

The Dendrobium orchid (Dendrobium spp.) is widely appreciated for its beauty and durability in the horticultural industry. To ensure optimal growth, continuous monitoring of environmental conditions is essential. This research presents an Internet of Things (IoT)-based monitoring system that observes real-time temperature, humidity, and soil moisture levels around the orchid. The system utilizes a DHT22 sensor for measuring air temperature and humidity and a soil moisture sensor for detecting the moisture content of the growing medium. An ESP32 microcontroller processes the sensor data and transmits it to the Ubidots cloud platform for real-time visualization. Testing showed that the sensor system achieved an accuracy rate of 4%. Data consistency between the serial monitors and the cloud was maintained, except when network disruptions occurred. This system allows users to remotely monitor critical parameters necessary for orchid health, facilitating better decision-making and timely intervention, ultimately improving the effectiveness of orchid care and maintenance.
Implementasi Validasi Transaksi ACID dan Protokol Hybrid pada Orkestrasi Multi-Robot di SmartEDU Station Warehouse Yuliadi Erdani; Ahshonat Khoerunnisa; Aqsha Maulana Ilham; Sarosa Castrena Abadi; Abyanuddin Salam; Adhitya Sumardi Sunarya
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16308

Abstract

Implementasi Cyber-Physical System (CPS) pada smart warehouse sering kali terkendala oleh masalah integritas data dan ketidaksesuaian protokol komunikasi antara lapisan Teknologi Informasi (IT) dan Teknologi Operasional (OT). Penelitian ini berfokus pada implementasi validasi transaksi berbasis ACID (Atomicity, Consistency, Isolation, Durability) dan integrasi protokol hybrid untuk mengorkestrasi Autonomous Mobile Robot (AMR) dan Articulated Robotic Arm (ARM) di lingkungan SmartEDU Station Warehouse. Arsitektur backend dibangun menggunakan Express.js sebagai gerbang validasi ACID, sementara Node-RED bertindak sebagai middleware yang menjembatani komunikasi hybrid, yaitu REST API untuk telemetri AMR dan Modbus TCP untuk kontrol ARM. Pengujian dilakukan sebanyak 50 siklus operasional penuh secara real-time. Hasil penelitian menunjukkan bahwa lapisan backend mencapai tingkat keberhasilan (success rate) 100% dalam mencegah race condition dan inkonsistensi data melalui mekanisme rollback otomatis. Performa protokol hybrid terukur sangat efisien, dengan latensi penulisan Modbus TCP rata-rata 14–25 ms dan interval optimal REST API pada 2000 ms yang hanya menghasilkan CPU load sebesar 0,2–4,1%. Waktu respons middleware terbukti stabil pada rentang 191–196 ms di setiap skenario pengujian. Hal ini mengonfirmasi bahwa penerapan validasi ACID pada arsitektur terdesentralisasi ini tidak membebani performa latensi sistem, sekaligus menjamin keamanan sinkronisasi data IT-OT.