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All Journal Elektron Jurnal Ilmiah International Journal of Wireless And Multimedia Communications
Widyagustin, Hazimah
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Deteksi Dini Diabetes Melitus melalui Analisis Citra Lidah Berbasis Deep Learning Novira, Aulia; Madona, Era; Widyagustin, Hazimah
Elektron : Jurnal Ilmiah Vol 17 No 1 (2025): Volume 17 Nomor 1 Tahun 2025
Publisher : Teknik Elektro Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/eji.17.1.594

Abstract

Diabetes melitus merupakan penyakit metabolik kronis yang prevalensinya terus meningkat secara global. Deteksi dini menjadi kunci untuk mencegah komplikasi jangka panjang, namun metode diagnostik konvensional umumnya bersifat invasif dan membutuhkan fasilitas laboratorium. Penelitian ini mengusulkan pendekatan non-invasif untuk mendeteksi diabetes berdasarkan citra lidah menggunakan metode Convolutional Neural Network (CNN). Citra lidah diperoleh dari pasien diabetes dan non-diabetes, kemudian diproses melalui tahapan preprocessing seperti normalisasi ukuran, augmentasi data, dan segmentasi area lidah. Model CNN dirancang untuk mengekstraksi fitur visual utama seperti warna, tekstur, dan bentuk dari citra yang telah diproses. Hasil pelatihan menunjukkan bahwa model mampu mencapai akurasi 97% . Evaluasi dilakukan pula terhadap citra uji, di mana model secara konsisten dapat mengklasifikasikan lidah pasien dengan benar ke dalam kelas diabetes maupun non-diabetes. Temuan ini menunjukkan bahwa pendekatan berbasis deep learning memiliki potensi besar dalam pengembangan sistem deteksi dini diabetes yang cepat, efisien, dan non-invasif, terutama untuk diterapkan pada perangkat mobile atau layanan kesehatan berbasis teknologi.
Design and Implementation of a Detection System for pH Levels, Moisture Content, and Sweetness in Honey Suhairi, M; Suhaila, Suhaila; Tuz Zahra, Nurraudya; Widyagustin, Hazimah
International Journal of Wireless And Multimedia Communications Vol. 3 No. 1 (2026): International Journal of Wireless And Multimedia Communications
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jowim.v3i1.280

Abstract

This research aims to design and build a honey detection device. The device is designed to detect three important parameters in honey such as pH, water content, and color. A pH sensor is used to measure the acidity level of honey, which is an important indicator in determining the freshness and quality of honey. A Soil Moisture sensor is adapted to measure the water content in honey, as the appropriate moisture level significantly affects the stability and quality of honey. Meanwhile, an LDR sensor is used to detect the color of honey, which often serves as a visual indicator of the quality and type of honey. Data collected from these three sensors is processed by an ESP32 and displayed in Liquid Crystal Display (LCD) with easily understandable format, enabling users to assess honey quality quickly and accurately. Test results show that this device can provide consistent and reliable data, making it a potential solution for honey quality evaluation in the field. This research also utilizes push buttons for displaying data and resetting or reconfiguring the system. Based on the testing conducted, Uray Honey has the highest water content (11.90%) and the lowest acidity level (4.67). Real Honey with water content (8.19%) and pH (3.43), and TJ Honey with water content (8.68%) and pH (3.41) have similar profiles in terms of water content and pH; however, Real Honey is darker in color (11.05) compared to Uray Honey (9.97). Super Honey has consistent color and water content (8.11%) but has a lower color value (9.59) compared to other honeys and has a pH of (3.41).
Co-Authors Era Madona Novira, Aulia Suhaila, Suhaila Suhairi, M Tuz Zahra, Nurraudya