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Klasifikasi Resiko Depresi Berdasarkan Durasi Layar dan Pola Hidup Digital Mengguanakan Metode K-Nearest Neighbor (KNN) Heri Setiawan; Helmi Fauzi Siregar
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 3 (2025): Desember: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i3.6366

Abstract

This study aims to classify depression risk levels based on screen time and digital lifestyle patterns using the K-Nearest Neighbor (KNN) method. The dataset used includes several important variables, such as daily screen time, frequency of social media use, and sleep duration and quality. These variables were chosen because they are considered to have a strong association with mental health, particularly depressive symptoms that often arise from excessive digital device use. A KNN model was then developed and tested to categorize individuals into three depression risk categories: low, medium, and high. The evaluation results showed that the model with a k value of 5 achieved a predictive accuracy of 85%, indicating that this method is quite effective as a data-driven classification tool. The findings of this study suggest that digital lifestyle patterns can be an early indicator in predicting depression risk, thus requiring more systematic monitoring. However, this model still needs to be combined with clinical assessment for a more comprehensive and accurate diagnosis.  
Pembuatan Lubang Biopori Guna Meningkatkan Resapan Air Hujan Di Dusun Satu A Desa Banjar Fynnisa Z; Aldi Ramadhan; Arraniri Nasution; Elsa Rahmadani; Heri Setiawan; Muhammad Khoir; Rani Hartini; Samuel Richard Hasian Pakpahan; Wahfi Dahwafi
Jurnal Garuda Pengabdian Kepada Masyarakat Vol 2 No 2 (2024)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/gabdimas.v2i2.921

Abstract

Water is a crucial resource, but its management often faces challenges, particularly in terms of rainwater absorption. Dusun Satu A, Desa Banjar, Air Joman Subdistrict, Asahan Regency, North Sumatra Province, faces challenges in managing rainwater due to its lower elevation compared to other dusuns. To address this issue, biopore holes serve as an effective solution. Biopore holes are a water conservation technique involving the creation of holes in the ground to enhance rainwater infiltration, thereby reducing surface runoff and accelerating the absorption of water into the soil. Additionally, biopores can convert organic waste into compost and improve soil fertility.