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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer JSiI (Jurnal Sistem Informasi) Jurnal Sistem informasi dan informatika (SIMIKA) Journal of Innovation and Future Technology (IFTECH) Jurnal Ilmiah Sains dan Teknologi
Nuryani, Ely
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Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Physics

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Journal : Journal of Innovation and Future Technology (IFTECH)

 1 
RANCANG BANGUN SISTEM DETEKSI KATARAK MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK Widyawati, Widyawati; Sidik, Rafli; Nuryani, Ely; Haryo Winasis, Persis
Journal of Innovation And Future Technology (IFTECH) Vol. 7 No. 1 (2025): Vol 7 No 1 (Februari 2025): Journal of Innovation and Future Technology (IFTECH
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v7i1.3895

Abstract

Cataract is a condition in which the lens inside the eye becomes cloudy, resulting in blurred or hazy vision. RSAW treats around 800 cataract patients every month, served by seven cataract ophthalmologists. The limited number of doctors and different levels of expertise can affect the duration of the initial screening time. Therefore, a system is needed that can support doctors in the cataract diagnosis process. Convolutional Neural Network (CNN) is a type of neural network specifically designed to process image or video data. CNN is a type of deep learning model that can train systems using large amounts of data and integrate the feature extraction process with classification. This study aims to develop and evaluate the performance of a CNN-based cataract detection system as a tool for early diagnosis in cataract patients at RSAW. The CNN model was trained using an eye image dataset consisting of 1120 images of cataract and non-cataract patients. The CNN architecture used was VGG16, chosen for its ability to extract relevant features. The evaluation results show that the system is able to detect cataracts with an accuracy of 96.43%, This system has the potential to increase the efficiency of the screening process and reduce the workload of doctors, thereby improving the quality of eye health services.
SISTEM INFORMASI PENGOLAHAN DATA INDUSTRI KECIL MENENGAH (IKM) DI KOTA CILEGON Nuryani, Ely; Effendi, Rustam; Gunawan, Waliadi; Ruliandy, Sandy
Journal of Innovation And Future Technology (IFTECH) Vol. 7 No. 2 (2025): Vol 7 No 2 (Agustus 2025): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/av3yya18

Abstract

Small and Medium Industries (SMIs) are community-driven business sectors that have demonstrated significant contributions to economic development. They play a crucial role in providing alternative and productive economic activities. This study focuses on the Department of Industry and Trade of Cilegon City, which faces challenges in collecting data on SMIs across districts, compiling records of supervised enterprises, and monitoring their progress. The objective of this research is to design and develop a Management and Data Collection Application for SMIs in Cilegon City to enhance the efficiency of SMI development activities. The application was developed using the Rapid Application Development (RAD) methodology, aligned with the System Development Life Cycle (SDLC). The design process employed an Entity Relationship Diagram (ERD) and Unified Modeling Language (UML), specifically a Use Case Diagram. The system is web-based and implemented using the Code Igniter framework, PHP programming language, and a MySQL database.
Co-Authors Budiman, Ramdani Endang Kusnadi Fathurohman, Ade Nandang Gunawan, Waliadi Haryo Winasis, Persis Hilman, Mohamad Huswatun Hasanah Lazuwardi, Eric Nugraha, Fikri Nurhidayanti Nurhidayanti NURUL HIDAYAH Rehulina Tarigan Romdoni, Mochamad Yusuf Rudianto Ruhiawati, Irma Yunita Ruliandy, Sandy Rustam Effendi Sidik, Rafli Susy Katarina Sianturi Sutanto Sutanto Widyawati, Widyawati