https://jurnal.ukmpenelitianuny.id/index.php/jippm <p>Jurnal Ilmiah Penalaran dan Penelitian Mahasiswa, adalah wadah informasi berupa hasil penelitian, studi kepustakaan, gagasan, aplikasi teori dan kajian analisis kritis di Bidang keilmuan baik pendidikan, sosial, sains atau teknologi ranah mahasiswa tingkat Diploma 3 atau 4 dan Strata 1. Terbit dua kali dalam satu tahun pada bulan Agustus dan Februari.</p> UKM Penelitian en-US Jurnal Ilmiah Penalaran dan Penelitian Mahasiswa 2598-0262 https://jurnal.ukmpenelitianuny.id/index.php/jippm/article/view/320 <p><span style="font-weight: 400;">Health problems caused by high cholestero and uric acid are becoming more common around the world, including in Indonesia. High cholesterol causes over 2.6 million deaths every year and affects about 28% of people in Indonesia. At the same time, diseases related to uric acid—like gout and kidney issues—also affect many people, with around 7.3% of Indonesians experiencing these problems. These facts show that it is very important to take action by raising awareness, encouraging healthy habits, and improving early treatment. Conventional methods for detecting cholesterol and uric acid levels are invasive, requiring blood samples, which can cause discomfort and have a risk of infection. Additionally, a significant portion of the population experiences fear of injections, further complicating early detection. This research aims to develop a non-invasive device integrated with IoT technology for detecting cholesterol and uric acid levels using a regression model. The device integrates optical sensors with near-infrared (NIR) light at 940 nm for cholesterol and 1550 nm for uric acid. The accuracy of the regression model was evaluated, yielding an R² value of 96% for cholesterol and 97.5% for uric acid, which indicates high reliability and consistency in the results. Furthermore, the device is capable of real-time monitoring and data logging, enabling both users and healthcare professionals to continuously track health conditions and support more accurate and timely diagnoses.</span></p> <p><span style="font-weight: 400;"><br></span><strong>Keyword</strong><span style="font-weight: 400;">: </span><em><span style="font-weight: 400;">Non-invasive detector, Cholesterol, Uric Acid, IoT, Regression.</span></em></p> Bima Bagus SetyoBudi ##submission.copyrightStatement## 2025-12-11 2025-12-11 9 1 1 26