Claim Missing Document
Check
Articles

Found 34 Documents
Search

Pengaruh Model Pembelajaran Project Based Learning Terhadap Hasil Belajar Siswa Kelas X di SMA Negeri 11 Samarinda Anwar, Yaskinul; Fadillah, Alvin; Syam, Muliati
JURNAL PENDIDIKAN Vol 30 No 3 (2021): November
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/jp.v30i3.1753

Abstract

Model project based learning merupakan model pembelajaran yang menggunakan proyek sebagai metode pembelajaran. Peserta didik melakukan eksplorasi, penilaian, interpretasi, sintesis, dan informasi untuk menghasilkan berbagai bentuk hasil belajar.  Penelitian ini bertujuan untuk mengetahui penggunaan  model project based learning (PJBL) dan mengetahui pengaruh  yang signifikan dalam terhadap hasil belajar siswa di kelas X SMA Negeri 11 Samarinda. Metode penelitian yang digunakan adalah metode eksperimen, dengan bentuk pre-eksperimental design dengan jenis one group pretest-posttest design. Sampel penelitian ini adalah 36 siswa. Alat pengumpulan data dalam penelitian ini adalah lembar observasi, dokumentasi dan tes. Berdasarkan hasil pengolaan data menunjukan bahwa rata-rata hasil belajar posttest siswa sebesar 77.14. Hasil Uji N-Gain dengan gain score 0.433, yang hal ini menunjukkan peningkatan hasil belajar dengan kategori sedang (0.3?g?0.7). Hal ini berarti model project based learning memberikan pengaruh yang signifikan terhadap terhadap hasil belajar siswa dalam pembelajaran geografi di kelas X SMA Negeri 11 Samarinda.
Community Vulnerability to Lake Drought in Muara Enggelam Village Anwar, Yaskinul; Muhammad, Irmawati; Nurlita, Aulia; Mislan, Mislan
Poltanesa Vol 25 No 1 (2024): June 2024
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v25i1.3015

Abstract

Drought vulnerability epitomizes a community's capacity to cope with drought-related calamities. In Muara Enggelam Village, the susceptibility to lake drought stems from diminished rainfall and lake water levels plummeting below 4.5 meters, as documented by the Mahakam River observation station in Kota Bangun. Consequently, the study focuses on the manifestation of lake drought vulnerability within Muara Enggelam Village. The research methodology encompasses a multifaceted approach involving observation, documentation, interviews, and questionnaires to gauge vulnerability levels. These assessments were based on key indicators of exposure, sensitivity, and adaptive capacity. Employing a cluster random sampling technique, 75 respondents were selected to represent the village population. Data analysis entailed the application of scoring and weighting methodologies. The outcomes of the study reveal that Muara Enggelam Village falls within Zone D, denoting high sensitivity as the primary component of vulnerability. Specifically, the indicators yield values of 0.41 for exposure intensity (EI), 0.81 for sensitivity intensity (SI), and 0.49 for adaptive capacity intensity (CI). The highest sensitivity observed in the village can be attributed to factors such as low-income levels and a significant proportion of the population engaged in fishing activities. In conclusion, this research sheds light on the intricate dynamics of drought vulnerability in Muara Enggelam Village, emphasizing the urgent need for targeted interventions to bolster the community's resilience against future drought events.
Geomatics Technology Spatio-Temporal Dynamics of Flooding in Samarinda City Based on Instagram Posts M. Firzy Handika Saputra; Yaskinul Anwar; Yulian Widya Saputra; Iya Setyasih; H. Rahmadi
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

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

Abstract

Flooding is a frequent disaster in Samarinda City, Indonesia that causes significant disruptions and losses. This study aimed to analyze the spatial and temporal patterns of flooding in Samarinda using Instagram posts as a data source. A total of 987 public posts related to flooding were collected and used to map the affected areas and identify temporal dynamics. A spatial analysis was conducted using GIS software, and the results were validated using field observations, official flood-prone area maps, and daily rainfall data. The findings showed that most flooding points were concentrated in low-lying residential areas adjacent to rivers, with increasing severity during intense rainfall. Spatial-temporal analysis revealed that high rainfall, overflow of the Karang Mumus River, and overflow of the Mahakam River were the leading causes of flooding. Over the five years, there was a significant temporal decline in the flood frequency, primarily driven by a reduction in rainfall-related events. The spatial patterns also shifted, with the Mahakam River becoming a more significant threat to the riparian areas. Instagram has emerged as a valuable dynamic geospatial data source for flood monitoring, providing timely updates and enabling the visualization of flood events. This study highlights the potential of integrating social media data into official monitoring systems to improve spatial resolution and response speed in flood management. These findings contribute to the development of social media-based flood monitoring methods and provide insights for strengthening flood mitigation planning and disaster risk reduction strategies in Samarinda City.
Analysis of Community Preparedness in Facing Fire Disasters in Desenly Populated Settlements in Samarinda City Frisca Marindayanti; Yaskinul Anwar; Yulian Widya Saputra
Future Space: Studies in Geo-Education Vol. 1 No. 3 (2024): Future Space: Studies in Geo-Education
Publisher : CV Bumi Spasial

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69877/fssge.v1i3.23

Abstract

Densely populated settlements in Samarinda City are fire-prone areas. This research aims to determine the level of community preparedness in facing fire disasters, as well as the factors that influence community preparedness. Observation, questionnaires, interviews, and documentation were carried out data collection in this research. The sampling technique used was cluster sampling with a sample size of 114 people. Preparedness data analysis using scoring and categories. The research results show that the majority of the community's preparedness level is in the ready category (61%), where economic, social, and physical factors influence community preparedness. Economic factors can be seen from the absence of insurance or disaster emergency funds, while the social factor is community interaction and participation in fire disaster outreach and training activities. Physical factors that have an influence are the community's efforts to overcome fire-prone settlements by installing water taps outside the house, contacting PLN if there are electricity network problems and building wells. Collaboration between communities and support from the government through the Pro-Bebaya Program is important to increase community preparedness in facing fire disasters.