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All Journal Coreid Journal Journal of Computing Innovations and Emerging Technologies
Aan Eko Setiawan
Politeknik Manufaktur Bandung
Computer Science & IT

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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 Evaluation of a Temperature–Humidity Control System for Mushroom Cultivation Using a DHT11 Sensor Suryaman Suryaman; Siti Hadiaty Yuningsih; Aan Eko Setiawan; Kiki Zakaria
CoreID Journal Vol. 3 No. 2 (2025): July 2025
Publisher : CV. Generasi Intelektual Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60005/coreid.v3i2.103

Abstract

Oyster mushroom (Pleurotus ostreatus) cultivation requires stable temperature and humidity conditions to support optimal mycelial development and fruiting body formation. This study aims to develop and evaluate a low-cost temperature–humidity monitoring and control system for an oyster mushroom cultivation room using a DHT11 sensor integrated with an Arduino-based controller. An experimental evaluation was conducted by comparing DHT11 temperature and humidity readings with a reference measuring instrument under cultivation-room conditions, while the control function was tested using threshold-based rules for activating environmental actuators (heater, fan, and humidifier). The results indicate that the DHT11 sensor produced measurements close to the reference instrument within the tested range, with temperature differences of 0.1–0.3°C and humidity differences of 0.2–0.4%RH across the observations. These findings suggest that the proposed system is feasible for basic environmental monitoring and supports automated threshold-based control for maintaining cultivation conditions near recommended ranges. Sensor performance and measurement stability are influenced by practical factors such as airflow, proximity to heat or moisture sources, and sensor placement; therefore, appropriate placement and shielding are important to minimize local bias. The originality of this work lies in providing an implementable prototype and an empirical sensor performance assessment in a mushroom cultivation environment, offering practical guidance for low-cost smart farming applications.
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.
Co-Authors Ahshonat Khoerunnisa Alma Nurshiyami Azwar Mudzakkir Ridwan Cepi Ramdani Duddy Arisandi Kiki Zakaria RUMINTO SUBEKTI Siti Hadiaty Yuningsih Siti Hardianti Yuningsih Suryaman Suryaman