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All Journal Bulletin of Information Technology (BIT) Management of Information System Journal
Siska, Siska Atmawan Oktavia
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Computer Science & IT Control & Systems Engineering

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Journal : Bulletin of Information Technology (BIT)

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Automatic Detection of Diabetic Retinopathy Eye Fundus Images Using Matlab Siska, Siska Atmawan Oktavia
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1742

Abstract

Diabetic Retinopathy (DR) is one of the causes of diabetes mellitus and is an important cause of visual disability and blindness. Screening of diabetic retinopathy is essential for both early detection and early treatment. Currently, the ophthalmologists use a non-mydriatic fundus camera to capture retinal images. Based on the fundus images, the ophthalmologists diagnose manually, which is time-consuming and prone to errors. The objectives of this project are to study image processing techniques, particularly on fundus images for diabetic retinopathy screening, to develop an automatic screening and classification system for diabetic retinopathy using fundus images in order to detect diabetic retinopathy at an early stage, and finally, to propose use of new eye fundus images, expert diagnosis image processing techniques, machine learning classifiers, and also App Designer as the Graphical User Interface (GUI) environment for early detection of the signs of diabetic retinopathy. An accurate retinal screening, therefore, is required to assist the retinal screeners to classify the retinal images effectively. Highly efficient and accurate image processing techniques must thus be used in order to produce an effective screening of diabetic retinopathy. It is envisaged that the proposed decision support system for clinical screening would greatly contribute to and assist the management and the detection of diabetic retinopathy.
Rancang Bangun Prototype Sistem Monitoring Dan Kontrol Tanaman Hidroponik Berbasis Internet of Things (IoT) Menggunakan Microcontroller ESP32 Ferdiansyah, Veri; Siska, Siska Atmawan Oktavia; Mulyanto, Yudi; Yunanri.W
Bulletin of Information Technology (BIT) Vol 6 No 3: September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i3.2198

Abstract

Hydroponic farming has emerged as an innovative solution to address land limitations and support sustainable food production. However, its success highly depends on consistent monitoring of light intensity and nutrient water availability. This study aims to design and develop a prototype monitoring and control system for hydroponic plants based on the Internet of Things (IoT) using the ESP32 microcontroller. The system employs an ultrasonic sensor to measure water level, a Light Dependent Resistor (LDR) sensor to detect light intensity, a 12V DC water pump, and LED grow lights as actuators. Environmental condition data is transmitted in real-time to the Blynk mobile application, which also provides automatic notifications when anomalies occur, such as low water levels or light intensity falling below the threshold. The development method used is Research and Development (R&D) with the ADDIE model, covering analysis, design, development, implementation, and evaluation stages. Testing results show that the system operates automatically and in real-time, achieving 100% detection accuracy for water level measurements and 98% for light intensity measurements. The implementation of this prototype is expected to improve the efficiency and effectiveness of small-scale hydroponic cultivation and serve as an affordable solution for farmers and the general public to adopt smart farming technology.
Co-Authors Alfan Habib, Muhammad Ferdiansyah, Veri Mulyanto, Yudi Yunanri.W