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All Journal Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam (JURRIMIPA) Jurnal Adijaya Multidisiplin Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa
Riby Tamara
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Religion Humanities Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Analisis Perbandingan Pengalaman Kesehatan Mental Antara Mahasiswa Perantau Dan Lokal Findi Septiani; Adinda Saputri; Aiman Hidayat Baeha; Livia Mutianda; Riby Tamara
Jurnal Adijaya Multidisplin Vol 3 No 01 (2025): Jurnal Adijaya Multidisiplin (JAM)
Publisher : PT Naureen Digital Education

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kesehatan mental merupakan faktor krusial dalam kehidupan mahasiswa dan dipengaruhi oleh berbagai aspek, seperti tekanan akademik, interaksi sosial, dan lingkungan tempat tinggal. Penelitian ini bertujuan untuk mengeksplorasi perbedaan pengalaman kesehatan mental antara mahasiswa perantau dan mahasiswa lokal di Universitas Negeri Medan. Metode yang digunakan adalah pendekatan kualitatif deskriptif dengan teknik purposive sampling dalam pemilihan partisipan. Data dikumpulkan melalui survei berbasis Google Form serta wawancara semi-terstruktur, kemudian dianalisis menggunakan metode analisis tematik. Hasil penelitian menunjukkan bahwa mahasiswa perantau lebih sering mengalami kesepian, tekanan akademik, serta kesulitan dalam beradaptasi dengan lingkungan baru. Sementara itu, mahasiswa lokal cenderung mendapatkan dukungan lebih dari keluarga mereka. Faktor utama yang berkontribusi terhadap kesehatan mental mahasiswa adalah beban akademik yang tinggi (76,9%), diikuti oleh masalah keuangan, dinamika sosial, serta lingkungan kampus. Untuk mengatasi tekanan mental, mahasiswa menerapkan berbagai strategi seperti menjaga komunikasi dengan keluarga, berpartisipasi dalam kegiatan positif, serta mengatur keuangan dan waktu dengan lebih baik. Temuan penelitian ini menunjukkan bahwa lingkungan kampus belum secara signifikan berkontribusi terhadap kesejahteraan mental mahasiswa. Oleh karena itu, diperlukan kebijakan yang lebih mendukung, termasuk peningkatan layanan psikologis dan penguatan komunitas kampus yang lebih inklusif.
Hubungan Antara Peluang dan Keputusan Manusia Arnah Ritongah; Riby Tamara
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.v3i3.472

Abstract

Human decision-making often occurs under conditions of uncertainty, where understanding probabilities is essential for making informed choices. This study investigates how people perceive and apply probabilistic information in various decision-making contexts. A combination of quantitative and qualitative methods was used to analyze the decision patterns of 200 individuals from diverse backgrounds through scenarios involving uncertainty. The results show that most participants prefer relying on intuition or personal experience rather than using statistical reasoning. Several cognitive biases, such as ignoring probability, overestimating confidence, and relying on readily available information, were commonly observed. However, participants with a stronger grasp of probability concepts demonstrated more logical and beneficial decision-making, particularly in financial and organizational settings. The study highlights a clear link between probability literacy and decision quality. Improving public understanding of probabilistic thinking could enhance decision outcomes, especially in situations involving risk. Educational efforts to integrate probability awareness into learning environments are recommended to support better decision-making both individually and collectively.
Aplikasi Integral dalam Menghitung Volume dan Panjang Busur pada Design Cone Es Krim Berbentuk Kelopak Bunga Asni Al Amini; Kenjo Oktaviano Damanik; Monica Triyuni Sinaga; Riby Tamara; Zahra Marsanda Mahisa; 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.v3i3.480

Abstract

This study aims to apply integral calculus methods to calculate the volume and arc length of an ice cream cone design shaped like a flower petal. The cone design is modeled using a quadratic function derived from three reference points on the petal curve. Using the solid of revolution method around the y-axis, the calculated petal volume is 150.8 cm³, and the arc length is 7.14 cm. The results demonstrate that calculus-based modeling supports efficient material usage while enhancing aesthetic and functional aspects of packaging. This research highlights the connection between mathematical concepts and practical product design in the food industry
Analisis Perbandingan Model Diskrit dan Kontinu dalam Prediksi Biaya Hidup Mahasiswa Selama Masa Studi Adinda Saputri; Arnah Ritonga; Alya Dwi Lestari; Kenjo Oktaviano Damanik; Riby Tamara
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.7018

Abstract

This study aims to compare the results of student living cost estimates over a four-year study period using two approaches in financial mathematics, namely the discrete model and the continuous model. The background of the study is based on the need for students to manage their personal finances effectively amidst rising living costs due to inflation. The discrete model is used to predict expenses at certain time intervals, while the continuous model assumes that changes in the value of money occur continuously at all times. This study uses a quantitative descriptive-comparative method with controlled simulations on 100 student data with variations in monthly living costs between Rp2,000,000–Rp4,000,000 and a random inflation rate of 0%–20%. The data were analyzed using discrete and continuous growth formulas, then a Paired Sample t-Test was performed to determine significant differences between the two models. The results show that both models produce very similar living cost estimates with an average difference of only about 1–3% of the total four-year costs. The continuous model produces slightly higher results than the discrete model due to its exponential and continuous nature of calculations. However, the statistical test results showed a p-value > 0.05, indicating no statistically significant difference between the two. Practically, both approaches can be used equally in student financial planning, with the discrete model being more appropriate for short-term projections and the continuous model being more appropriate for long-term projections.
Co-Authors Adinda Saputri Aiman Hidayat Baeha Alya Dwi Lestari Arnah Ritonga Arnah Ritongah Asni Al Amini Findi Septiani Kenjo Oktaviano Damanik Livia Mutianda Monica Triyuni Sinaga Suvriadi Panggabean Zahra Marsanda Mahisa