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Verdiana, Miranti
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Analysis Comparison of Depression Levels Based on Gender and Academic Factors of Students Verdiana, Miranti; Nugroho, Eko Dwi; Anggraini, Leslie; Bagaskara, Radhinka; Yulita, Winda; Afriansyah, Aidil; Algifari, Muhammad Habib
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.7975

Abstract

This study aims to analyze the level of depression among university students by examining gender and several academic indicators. The dataset includes responses from 27,901 students across various regions, with variables covering age, gender, academic pressure, study satisfaction, work/study hours, CGPA, and depression status. The analytical methods applied in this study include the chi-square test to evaluate the association between gender and depression status, point-biserial correlation to examine the relationship between numeric variables and depression, and logistic regression to develop a prediction model. The chi-square test results revealed no significant relationship between gender and depression (p = 0.774), indicating that depression affects both genders. In contrast, academic pressure exhibited the strongest correlation with depression status (r = 0.47), followed by work/study hours (r = 0.209) and study satisfaction (r = -0.168). The Logistic Regression model constructed using the four most relevant variables demonstrated satisfactory performance, achieving 75.5% accuracy and 82.1% recall in identifying students experiencing depression. These findings highlight the critical role of academic-related factors—particularly academic pressure—in influencing students' mental health. Therefore, targeted academic support strategies are essential to mitigate depression risks in higher education environments.
KARAKTERISTIK IBU MENYUSUI DALAM PEMBERIAN ASI EKSKLUSIF DI PUSKESMAS UMBULHARJO I YOGYAKARTA Verdiana, Miranti; Kuswanti, Ina; Rochmawati, Lusa
Jurnal Kesehatan - STIKes Prima Nusantara Vol 12 (2021): Supplementary 1
Publisher : LPPM Universitas Prima Nusantara Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35730/jk.v12i0.511

Abstract

Pemberian ASI bermanfaat untuk mencegah kematian dan kekurangan gizi pada bayi. ASI eksklusif mencegah kematian akibat diare dan ISPA. Karakteristik ibu (usia, pendidikan, pekerjaan dan paritas) dapat mempengaruhi keberhasilan pemberian ASI eksklusif. Penelitian bertujuan untuk mengetahui gambaran karakteristik ibu menyusui dalam pemberian ASI eksklusif di Puskesmas Umbulharjo I Yogyakarta. Jenis penelitian deskriptif dengan pendekatan cross sectional, pengambilan sampling secara purposive dengan jumlah sampel 55 orang ibu yang menyusui. Data penelitian menggunakan data sekunder dengan bantuan instrument berupa lembar observasi. Analisa data secara univariat, hasil disajikan dalam bentuk distribusi frekuensi. Karakteristik ibu menyusui dalam pemberian ASI eksklusif berdasarkan pekerjaan yaitu sebagian besar ibu yang bekerja 37 responden (67,3%), sebagian besar pendidikan SMA 27 responden (49,1%), sebagian besar dalam kategori resiko tinggi 35 tahun (61,8%), dan sebagian besar memiliki paritas (primipara) sebanyak 21 responden (38,2%). Sebagian besar ibu yang menyusui dalam pemberian ASI eksklusif di Puskesmas Umbulharjo I dikarenakan pekerjaan ibu termasuk kategori ibu bekerja.
Co-Authors Afriansyah, Aidil Akram Abdillah, Attar Algifari, Muhammad Habib Anggraini, Leslie Bagaskara, Radhinka David Gunawan, David Dayati, Judhith Vidya Dwi Nugroho, Eko Eko Dwi Nugroho Eko Nugroho Febrianto, Andre Firmansyah, Hafiz Budi Habib Algifari, Muhammad Idris, Mohamad Ilham Firman Ashari Ina Kuswanti Kurniawansyah, Apri Lusa Rochmawati Muhammad Qaessar Kartadilaga Narayana, Panca Nashrullah, Muhammad Perdana, Agung Mahadi Putra Praseptiawan, Mugi Rizkita, Alya Khairunnisa Untoro, Meida Cahyo Winarta, Richard Arya Yulita, Winda