Rizka Nabila Damanik
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Journal : Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa

Analisis Perbandingan Tingkat Depresi pada Mahasiswa Angkatan 2022 dan 2024 Jurusan Biologi Universitas Negeri Medan Findi Septiani; Endang Lyfia Saragih; Grace Amelia Purba; Petra Putri Sarinah Pandiangan; Rizka Nabila Damanik
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 2 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v3i2.444

Abstract

Mental health disorders, particularly depression, are becoming an increasing concern among university students. This study aims to analyze the comparative levels of depression among students from the 2022 and 2024 cohorts in the Biology Department at Universitas Negeri Medan. The research employs a mixed-method approach, integrating both quantitative and qualitative methodologies. Data were collected through questionnaires distributed to 51 active students. The results indicate that students from the 2022 cohort exhibit higher levels of depression compared to those from the 2024 cohort, due to academic pressure, social factors, and lifestyle habits. These findings highlight the importance of preventive strategies and interventions to mitigate depression risks, such as stress management, promoting healthy lifestyle habits, and strengthening social support in academic environments. Therefore, educational institutions must prioritize student mental health to foster a more conducive learning environment.
Estimasi Volume Air Waduk Lau Kawar Menggunakan Pendekatan Integral Volume Kulit Tabung Rizka Nabila Damanik; Grace Purba; Klara Laoli; Bobby Delon Togatorop; Windy Suryani; Suvriadi Panggabean
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 3 No. 3 (2025): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v3i3.483

Abstract

This study aims to estimate the water volume of Lau Kawar Reservoir using the cylindrical shell method of integral calculus. The reservoir is assumed to be a perfect cylinder with a radius of 564 meters and a depth of 8.45 meters. The volume is calculated using both the shell method and the standard analytical formula for cylinders. The result shows a water volume of 8,437,640.45 m³. Both methods produced identical results with an absolute error of 0.00 m³. This proves that the shell method is highly accurate for symmetrical reservoir shapes. The study demonstrates how integral calculus can be applied to real-world problems in hydrology.