Monitoring Variasi Spasial dan Temporal Genangan Danau Limboto Selama 2000-2015 Menggunakan Citra Modis dan Google Earth Engine

Changes in the Limboto Lake area can be monitored using remote sensing technology. Satellite imagery provides data regarding the surface area of the lake over a long period of time. However, conventional methods require large resources to process and analyze large remote sensing image data. This study utilizes geospatial information technology with the support of cloud computing to overcome these obstacles. The purpose of this study is to determine the inundation area of Lake Limboto from 2000 to 2015 and to analyze the trend of changes in inundation area over a 16 years period. The experimental results show a map of spatial and temporal changes in the inundation of Lake Limboto over 16 years. The trend of changes in the inundation area of Lake Limboto shows a decrease of 56.56 Ha every year. Further research needs to involve other factors such as rainfall and vegetation cover to see the effect of the inundation area of Lake Limboto

Ekstraksi Perubahan Tutupan Vegetasi Di Kabupaten Gorontalo Menggunakan Google Earth Engine

Monitoring changes in vegetation cover is important for the restoration of ecosystems in the Gorontalo Regency area. The utilization of remote sensing technology makes it possible to detect the dynamics of changes in vegetation cover spatially and temporally. The Terra MODIS satellite image collection in the study area is available in large numbers and sizes. Therefore, cloud computing-based spatial technology support is needed. Google Earth Engine (GEE) as a geospatial computing device is an alternative to cover this shortfall. The aim of this study is to explore the condition of vegetation cover spatially and temporally using the GEE platform. A total of 43 MODIS images in the study area, recording periods 2000 and 2020, were used to quickly and effectively generate vegetation cover maps. The process of downloading, processing, and analyzing data was automated through the GEE interface. The results of the mapping in 2000 and 2020 are shown by maps of vegetation cover in two classes, namely; vegetation and non-vegetation. The accuracy of the vegetation cover map shows good results, namely an overall accuracy of 0.81 for 2000 and 0.85 for 2020. The area of the non-vegetation class increased by 2815.29 ha, and the vegetation class decreased by 2767.31 ha. The map of spatial changes in vegetation cover in the study area is classified into three classes, namely revegetation, devegetation, and unchanged. Based on these results, the extraction of vegetation cover changes in the study area using the GEE platform can be carried out well

DIGITAL LITERACY BOOST: MODUL DIGITAL BERFORMAT EPUB SEBAGAI MEDIA PEMBELAJARAN EFEKTIF

Perkembangan teknologi informasi di era revolusi industri 4.0 telah mendorong dunia pendidikan untuk mengembangkan media digital dalam pembelajaran. Pengembangan modul digital tentunya membutuhkan perangkat teknologi yang dapat mengemas menjadi media yang efektif untuk mendukung literasi digital siswa. Oleh karena itu perangkat pengembangan modul digital dan format publikasi modul menjadi hal yang perlu dipertimbangkan. Penelitian ini bertujuan untuk mengembangkan modul digital berformat EPUB menggunakan perangkat lunak sumber terbuka. Model ADDIE (Analysis, Design, Development, Implementation, Evaluation) diadaptasi untuk mengembangkan modul digital. Secara keseluruhan, hasil penelitian menunjukkan bahwa penelitian telah melewati proses validasi oleh ahli materi, media dan pembelajaran. Persentase skor validasi masing-masing sebesar 96,47%, 87,62%, dan 92,72%. Respon siswa juga menunjukan hal yang positif dengan persentase rata-rata nilai sebesar 85,73%. Skor ini termasuk pada kategori Sangat Baik. Dengan demikian modul digital ini dapat digunakan sebagai media pembelajaran yang efektif di sekolah untuk mendukung literasi digital siswa

Climate Vulnerability Literacy and Adaptive Capacity Through the Climatepreneurship Strategy in Bilato Village

The reality of climate change has an impact on people's lives. People need to pay attention to climate change that is happening. Climate change that occurs needs to be anticipated early on. With climate change, people need to increase their sensitivity to disaster threats. Bilato Village is located in a coastal area vulnerable to climate change's effects. The Bilato village community impacts the livelihood system due to climate change. The aim of holding the outreach is so that the Bilato village community adapts to climate change's impacts by utilizing existing natural resources besides fishing and salt. The subject of community service is the villagers of Bilato. The community service method is carried out in three ways: observation, interviews, and Focus Group Discussion (FGD). The three findings of community service include a) how to reduce the impact of climate change, b) the village government's efforts to deal with climate change, and c) the fate of fishermen affected by climate change. Based on the results, it can be concluded that climate vulnerability and adaptive capacity with the climatepreneurship strategy of socialization participants understand climate change

Earthquake Damage Level of Gorontalo Area Based on Seismicity and Peak Ground Acceleration

Gorontalo is located at the macro and micro plate boundary, therefore it is located in an active seismotectonic region. This study aims to analyze earthquake damage level in Gorontalo based on seismicity and peak ground acceleration. The data used is obtained from the USGS. Data is made into a database and plotted onto a geological map. Calculation of peak ground acceleration is obtained using the Kawashumi formula. The results of this study indicate that Gorontalo is included in the slight to moderate earthquake damage level because it is dominated by shallow to intermediate earthquakes depth, light to moderate earthquake magnitude, and have a peak ground acceleration 1,462 - 99,714 gal

Best Practice Berbasis Komunitas Dalam Mewujudkan Ketahanan Masyarakat Terhadap Bencana

Community-based programs emphasize the community as the main actor. It started with recruitment and the establishment of community forums which became the benchmark for the success of the program. Furthermore, the community is equipped with knowledge about the identification and utilization of village potential so that the community can play practical roles in maintaining the balance of the ecosystem in the context of disaster control. The involvement of community forums in best practice is an efficient means because it provides space for forums to exchange knowledge and ideas in offering problem-solving solutions. The mining potential in Hulawa Village has a strategic role in improving the community's economy. However, it has an impact on river water resources in Hulawa Village. The direct impact observed in the field is the color change in river water due to mining activities. The potential of the village-owned by Hulawa Village can be maximized to become a village advantage. This needs to be done because it sees the opportunity for the high involvement of the Hulawa village community in village community empowerment programs

Spatiotemporal mapping of inundation area at Lake Limboto in Gorontalo, Indonesia, using cloud computing technology

Monitoring activities on the dynamics of water shrinkage at Lake Limboto are essential to the lake’s ecosystem’s recovery. A remote sensing technology functions to monitor the dynamics of lake inundation area; this allows one to produce a comprehensive set of spatial and temporal data. Such complex satellite dataset demands extra time, greater storage resources, and greater computing capacity. The Google Earth Engine platform emerges as the alternative to tackle such problems. The present study aims to explore the capability of Google Earth Engine in formulating spatial and temporal maps of the inundation area at Lake Limboto. A total of 345 scenes of Landsat image on the study area (available during the period of 1989–2019) were involved in generating a quick inundation area map of the lake. The whole processes (pre-processing, processing, analysing, and evaluating) were automatized by using the Google Earth Engine interface. The evaluation of mapping result accuracy indicated that the average score of F1-score and Intersection over Union (IoU) was at 0.88 and 0.91, respectively. Moreover, the mapping results of the lake’s inundation area from 1989 to 2019 showed that the inundation area tended to decrease significantly in size over time. During the period, the lake’s area also shrank from 3023.8 ha in 1989 to 1275.0 ha in 2019. All in all, the spatiotemporal information about the changes in lake area may be treated as a reference for decision-making processes of lake management in the future

An Overview of the Population Dynamics Model Based on Climate Parameters

Understanding how the environment, especially climate, affects the growth of pests (life cycle) is very important to create management techniques that reduce or eliminate damage to rice plants and minimize the resulting losses.  This study aims to describe population dynamics modeling based on the influence of climate parameters using the DYMEX software.  Climate and life cycle characteristics, which can be processed in the DYMEX life cycle module, are two important elements in modeling the rice stem borer.  Egg, larval, and imago populations exhibit a variety of climate-related effects.  The larval stage is most visible in the month of MJJA, where rainfall intensity is low or during the dry season.  This indicates that the larval stage can survive through diapause in the dry season.  The correct numbers must be used to initialize and parameterize models created using DYMEX.  Overall, DYMEX can produce good simulation results in all life stages of the modeled insects.  However, obtaining good, precise simulation results requires the user's accuracy in building the model, especially the values of the input parameters.  In addition, to test the results of the DYMEX simulation, it is necessary to validate them with the actual conditions of the population in the field

Implementasi Model Pembelajaran Berbasis Masalah (PBL) Pada Materi Dinamika Atmosfer Dan Dampaknya Terhadap Kehidupan Untuk Meningkatkan Hasil Belajar Siswa Di Kelas X SMA Negeri 1 Popayato

Abstrak Kajian geografi di SMA Negeri 1 Popayato dalam pelaksanaannya masih belum memenuhi standar tujuan. Banyak variabel yang mengakibatkan menurunnya prestasi siswa dalam belajar. Tujuan dari penelitian ini yaitu untuk meningkatkan hasil belajar siswa melalui model pembelajaran berbasis masalah di SMA Negeri 1 Popayato. Metode yang dilakukan dalam penelititian adalah metode deskriptif kualitatif dengan Pengumpulan data melalui wawancara observasi, tes hasil belajar dan dokumentasi. Hasil pengamatan pada siklus I dan siklus II mengalami peningkatan yang sangat signifikan. Perolehan hasil pengamatan siklus II menunjukkan bahwa 96% dari tindakan yang dilakukan oleh guru telah mencapai kriteria sangat tinggi atau baik sekali sedangkan untuk siswa yaitu 92% dari tindakan yang dilakukan telah mencapai kriteria baik sekali, adapun untuk hasil belajar siswa yaitu 90% atau 19 orang dari 21 jumlah siswa telah mencapai KKTP Penelitian ini telah membuktikan bahwa pembelajaran menggunakan model pembelajaran berbasis masalah dapat meningkatkan hasil belajar siswa.Kata kunci: model pembelajaran, pembelajaran berbasis masalah, hasil belaja