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Damselflies Found in Batu Putu Waterfall Nature Park Imaniar, Lisana Husna; Haryati, Yayuk; Wahyuni, Diana Putri; Ningrum, Dita Puspita; Mahendra, Puput Eka; Sinurat, Esra Maduma; Sari, Dian Anggria
MAXIMUS: Journal of Biological and Life Sciences Vol. 2 No. 1 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM), Institut Teknologi Sumatera, Lampung Selatan, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35472/maximus.v2i1.1787

Abstract

Batu Putu Waterfall Nature Park is one of the many local tourist destinations in Bandar Lampung City, yet biodiversity data of it is so scarce. Considering the fact that this area focused on its waterfall’s natural beauty and the river alongside it, it was deemed important to conduct a study to better understand local organism that have close relationship with freshwater bodies. This study aims to determine the damselfly species found in Batu Putu Waterfall Nature Park. Specimens were captured using insect nets along the waterfall and riverbed during the daytime in fine weather. These specimens were then preserved in an insectarium and later identified using taxonomic keys. The result found at least four species of damselflies were living in Batu Putu Waterfall Nature Park area. Those are Euphaea variegata, Vestalis luctuosa, Prodasineura sp, and Elattoneura sp.
Sleep Quality Among Employees of Institut Teknologi Sumatera (ITERA), Lampung, Indonesia: A Cross-Sectional Study in Higher Education Using the Pittsburgh Sleep Quality Index (PSQI) Sinurat, Esra Maduma; Maretta, Gres; Ariyanti, Yanti
Jurnal Penelitian Pendidikan IPA Vol 12 No 2 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i2.12894

Abstract

Sleep is a vital physiological process essential for overall health and productivity. Among university employees, poor sleep quality has been linked to reduced job performance, increased risk of mental health disorders, and heightened susceptibility to occupational burnout. These risks are particularly salient in academic environments, where high administrative demands and blurred work-life boundaries are increasingly common. This study evaluated sleep quality among employees at Institut Teknologi Sumatera (ITERA) while investigating key demographic predictors. Employing a cross-sectional quantitative design, data were collected from 300 administrative and academic staff using the Pittsburgh Sleep Quality Index (PSQI). Initially, a chi-square goodness-of-fit test was conducted to assess the associations among categorical variables, and a generalized linear model (GLM) was subsequently utilized to identify factors influencing sleep quality, with a significance threshold of p < 0.05. The results revealed that approximately 75.67% of employees exhibited good sleep quality. Notably, significant sex differences were observed: females demonstrated a higher prevalence of poor sleep quality compared to males. Furthermore, age emerged as a critical predictor, with employees in the 41–50 age group reporting better sleep quality than those in the 21–30 and 31–40 age groups. These findings underscore the importance of considering demographic factors when developing targeted interventions aimed at improving sleep health in organizational settings.