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Utilisation of Natural Resources for Ecotourism Development in Community Service Programme Mila Sari; Fathia Rahmadini; Kalasta Ayunda Putri; Handri Maika Saputra; Rafika Aini
Sustainable Applied Modification Evidence Community (SAMEC) Vol 2 No 1 (2025): June, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/samec.v2i1.161

Abstract

Community-based ecotourism (CBET) is one of the most popular ecotourism programs in the world. This study uses a qualitative descriptive approach that aims to comprehensively describe the process of utilizing natural resources in developing ecotourism through community service programs. Data collection was conducted through several main techniques, namely participant observation, in-depth interviews, and focus group discussions (FGDs). Focus group discussions were aimed at key informants who had knowledge and active involvement in ecotourism development, to explore experiences, challenges, and strategies used in program implementation. Thematic analysis techniques were used to identify patterns, main themes, and relationships between variables in the context of ecotourism based on the use of natural resources. The results of the quantitative descriptive analysis show that the level of community participation in the ecotourism activities is in the very high category, with an average score of 4.21 out of 5 and a participation frequency of 87.5%. High community involvement, the formation of institutions such as Pokdarwis, and increased environmental understanding indicate that the Community-Based Ecotourism model can be implemented effectively at the village level.
The Association Between Social Support and Students’ Mental Health During Academic Transitions Elita Endah Mawarni; Mila Sari; Lisbeth Laora Silitonga; Zahra Istiqamah; Wedia Hastuti
Sustainable Applied Modification Evidence Community (SAMEC) Vol 2 No 2 (2025): December, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/samec.v2i2.278

Abstract

Although the relationship between social support and students' mental health during the academic transition is rather complicated, it always has one thing in common: social support can strengthen learning involvement and lessen the intensity of some life strains.  As a result, educational establishments must offer a structured support system through counseling, peer mentoring, and an inclusive campus community.  The purpose of this study is to offer an empirical foundation for the development of campus policies that are more sensitive to the psychosocial requirements of students, particularly in the early stages of their transition to higher education. The research subjects were 75 new students chosen by purposive sampling. The data were collected thanks to internet questionnaire submissions of a 14-day duration with Google Form platform to facilitate accessibility and get rid administrative bias. The main research instruments were two. One of them is the Social Support Scale and the Psychological Mental Health Scale. All were conducted on the social support variable's frequency distribution and descriptive statistics, and on the Distribution of Student Mental Health. The coefficients of bivariate analysis uncovered a strong direct relationship between Univariate analysis was performed on social support variables and mental health among university students. The Final Result of the Study gives confirmation that strengthening one's social support system should be closely linked to creating complete written plans for students undergoing academic transition, if we are to keep them healthy both during that period and onwards into their further studies.
Development of a Spectrometric Method for Heavy Metal Analysis in Urban Environments Mila Sari; Metha Lubis
Science Journal Get Press Vol 2 No 1 (2025): January, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/science.v2i1.106

Abstract

This study aims to develop more advanced and efficient spectrometric methods for heavy metal analysis in urban environments. This research uses an experimental quantitative approach to develop and optimise spectra-based analysis methods. The results showed that heavy metal concentrations in industrial area soils far exceeded environmental quality standards, with Pb reaching 128.5 mg/kg, Cd 2.4, Cr 96.3, and Hg 0.21, exceeding the set quality standards. In water samples, river water near industrial areas was highly polluted for all parameters, and Pb (0.42 and 0.008 mg/L) far exceeded the safe limits. This study shows that industrial areas have significant levels of heavy metal pollution in soil, water and air compared to residential areas. Therefore, better management of industrial effluents, development of efficient pollution monitoring and detection technologies, and implementation of environmentally friendly transport strategies are urgently needed to mitigate the risks of pollution to human health and the environment.