Konseptualisasi Untuk Komunitas: Menuju Kesukarelaan Dalam Aksi Adaptasi Dan Mitigasi Bencana

Understanding the concept of community resilience is important, as an effort to increase public sensitivity to the impacts caused by disasters. In this aspect, local communities, especially young people, can increase their adaptive capacity, become more resilient, and take a bigger role in achieving local prosperity. The program aims to address the gaps in the concept of disaster for local communities, which focuses on increasing community understanding and capacity so that communities can voluntarily undertake adaptation and mitigation measures. Community forums are an important component in achieving the target of this program. Community forums formed include PRB  and TSBM forums. The presence of community forums is a pillar in building and increasing community resilience. This requires adequate support so that the forum as a local organization can make a real contribution. The sustainability of the disaster management training program still needs to be developed, in collaboration with community organizations to ensure resilience capacity is maintained. The implementation of this program can provide a stimulus to local governments and the community about the importance of understanding the concept of disaster to the community, in order to create a sense of responsibility and empathy within the local community.

KARAKTERISTIK SPASIOTEMPORAL KEKERINGAN METEOROLOGI DI KABUPATEN GORONTALO TAHUN 1981-2016

Drought is one of the natural disasters that can cause disadvantages, especially in the agricultural sector. Gorontalo Regency is the corn production center, yet it has high vulnerability and low adaptive capacity towards the climate change. In addition, its vulnerability to the impact of drought is seen from the high potential for environmental damage, the disadvantages due to the drought and the potential of the population exposed to drought. Standardized Precipitation Index (SPI) is the estimator tool employed to assess the severity of the drought. This study utilized monthly rainfall data from 17 stations in Gorontalo Regency and 2 stations outside Gorontalo Regency during the period of 1981-2016. The SPI values were calculated by utilizing DrinC software and spatial interpolation of drought using ArcGIS software. The result shows that the longest time of drought occurred in 1982, 1986, 1997 and 2015 due to El Nino phenomenon with moderate and strong category with long duration. Further, analysis result in the last four decades reveals that the worst drought occurred in 1982. Based on the result of frequency analysis on the SPI-3, SPI-6 and SPI-12 time scales, drought is frequently taken place in western regions. Thus, this result can be a reference in managing the water resources in Gorontalo Regency. The plan in the commodity-based agriculture sector can be developed since the result of spatial analysis indicates that SPI can identify the diversity of drought severity. It is necessary to place the climate change scenarios in order to prepare the adaptation and mitigation measures of drought impacts due to the uncertainty of future climate conditions. This is very helpful to provide an idea about the dynamics of drought.

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

Pemetaan Lahan Kritis Menggunakan Sistem Informasi Geografis di Kecamatan Sumalata Provinsi Gorontalo

Kecamatan Sumalata merupakan salah satu pusat kegiatan industri pertanian dan ekonomi yang mempunyai topografi daratan dan perbukitan yang relatif dekat dengan pengolahan ruang yang meluas keperbukitan. Hal tersebut akan mengakibatkan berubahnya ahli fungsi lahan dan sangat berpengaruh timbulnya lahan kritis. Penelitian ini bertujuan untuk mengidentifikasi dan memetakan lahan kritis menggunakan Sistem Informasi Geografis (SIG) di Kecamatan Sumalata. Metode yang digunakan yaitu analisis tumpang susun data spasial pengkelasan, skoring dan logical  expression, metode ini juga diperkuat verifikasi ke Citra CSRT Google Earth, serta survei lapangan dengan ground control point (GCP). Dari keseluruhan hasil analisis telah diperoleh informasi bahwa ada 5 kelas lahan kritis di Kecamatan Sumalata yaitu, Tidak Kritis memiliki luas 1,476.75 Ha atau mencapai 4.95%, Potensial Kritis memiliki 625.70 Ha atau mencapai 2.10%, Agak Kritis memiliki luas 27,495.04 Ha atau mencapai 92.21%, Kritis memiliki luas 44.02 Ha atau hanya mencapai 0.15% dan Sangat Kritis dengan total luas 12.44 Ha dengan presentase 0.14%

Karakteristik Kawasan Wisata Pantai Taula'a Kecamatan Bilato Kabupaten Gorontalo Provinsi Gorontalo

Collaborative practices in the management of Taulaa Beach have not been maximized, including the minimal role of the community in beach maintenance and the lack of facilities and accessibility. This study aimed to assess the appropriateness of tourism in the Taula'a Beach area, located in the Bilato District of the Gorontalo Regency, inside the Gorontalo Province. The chosen research methodology entails the utilization of a survey-based approach. The process of data acquisition via direct observation and field measurements. The criteria that determine the acceptability of a tourism destination include water depth, beach type, beach breadth, water base material, current speed, beach slope, water brightness, land cover, presence of harmful biota, and availability of fresh water. The appropriateness of beach tourism is analyzed using the Tourism Suitability Index (IKW). The research findings yielded an IKW value of 77.4%. This value indicates that land suitability in the Taula'a Beach Tourism Area is included in the very suitable classification, specifically in the S1 category

Tinjauan Geografis Terhadap Upaya Pengembangan Kawasan Objek Wisata Alam Puncak Meranti

penelitian ini bertujuan untuk mengetahui faktor-faktor geografis apa saja yang mendukung pengembangan objek wisata Puncak Meranti. Penelitian ini menggunakan metode observasi dan  wawancara dan menggunakan teknik analisis data deskriptif kualitatif. Dari hasil penelitian dapat diketahui faktor geografis yang berperan sangat mendukung dalam pengembangan obyek wisata Puncak Meranti meliputi vegetasi, material batuan, infrastruktur dan aksesibilitas karena kriteria penentuan kelasnya sangat mendukung. Faktor geografis yang mendukung dalam pengembangan objek wisata alam Puncak Meranti adalah suhu, kualitas air, daya tarik, dan fasilitas karena kriteria penentuan kelasnya mendukung. Sedangkan faktor geogarafis yang kurang mendukung dalam pengembangan objek wisata yaitu kemiringan lereng dan bentuk lahan. Berdasarkan kesimpulan tersebut maka objek wisata alam Puncak Meranti ditinjau dari faktor geografisnya mendukung untuk dikembangkan sebagai objek wisata alam dengan memperhatikan kondisi  kemiringan dan bentuk lahan dari objek wisata tersebut

TOPONIMI DESA DIKECAMATAN TILONGKABILA BERDASARKAN FAKTOR GEOGRAFI

Tilongkabila is one of the districts in Bone Bolango regency. which consists of 14 villages. Every village possesses different toponyms and historical backgrounds, i.e., Berlian, Bongohulawa, Bongoime, Bonggopini, Butu, Iloheluma, Lonuo, Motilango, Moutong, Permata, Tamboo, Toto Utara, Tungulo, and south Tungulo village.  This research aimed to study toponym geography in TilongkabilaDistrict.It employed a qualitative descriptive method and spatial approach analysis. The data was collected through observation, interviews, documentation, and library research. The result showed two factors related to the basis of village toponymy in Tilongkabiladistrict. First, non-physical geographic factors (social and cultural aspects)were measured by 78%. Further, physical factors such as the embodiment aspect are influenced by 27%. All in all, the study concluded that non-physical geographic factors influenced the village toponymy in TilongkabilaDistrict

KAJIAN DAYA DUKUNG LAHAN PERMUKIMAN KOTA GORONTALO

Abstrak: Perkembangan Kota Gorontalo khususnya pada peningkatan jumlah penduduk tiap tahunnya berdampak pada perkembangan kebutuhan akan permukiman. Tujuan penelitian yaitu menganalisis daya dukung lahan permukiman Kota Gorontalo. Gradien lereng, curah hujan, jenis tanah, dan rentan bahaya menjadi parameter perhitungan daya dukung lahan permukiman. Metode analisis menggunakan skoring dan metode overlay. Banyaknya masyarakat, standar ruang/kapita dan ukuran pemukiman yang sesuai merupakan tiga variabel perhitungan dalam menentukan daya dukung lahan permukiman. Hasil analisis kesesuaian lahan pemukiman di Kota Gorontalo diperoleh bahwa 3932,31 Ha lahan berada pada kategori sesuai dan sesuai bersyarat atau 58,7% dari total luas Kota Gorontalo. Luas lahan yang berada pada kategori kurang sesuai dan tidak sesuai adalah 2769,42 Ha atau 41,3%.  Daya dukung lahan pemukiman di Kota Gorontalo diperoleh nilai 7,5 dan nilai jumlah penduduk optimal (JPO) sebesar 1.398.516 jiwa. Apabila jumlah masyarakat meningkat 7 kali dari total penduduk sekarang, maka perhitungan DDPm Kota Gorontalo adalah 1,08. Dengan demikian, daya dukung permukiman tinggi.  Abstract:  The increasing population has an impact on increasing the need for settlements. This research aims to analyze the carrying capacity of settlement land in Gorontalo City. Slope gradient, rainfall, soil type, and disaster risk are the parameters for calculating the carrying capacity of settlement land. The analytical method uses scoring and overlay methods. The number of people, the standard of space requirements, and the size of the appropriate settlement are the three calculation variables in determining the carrying capacity of settlement land. The results of the suitability analysis of residential land in Gorontalo City found that 3932.31 Ha of land were in the category of suitable and conditionally suitable or 58.7% of the total area of Gorontalo City. The area of land that is in the category of less suitable and not suitable is 2769.42 Ha or 41.3%. The carrying capacity of residential land in Gorontalo City is 7.3 and the optimal population value (JPO) is 1,398,516 people. If the number of people increases 7 times the current total population, then the DDPm calculation for Gorontalo City is 1.05. Thus, the carrying capacity of settlements is high

Kemampuan Berpikir Spasial Peserta Didik Menggunakan Citra Google Earth Pada Mata Pelajaran Geografi di SMA Negeri 2 Gorontalo

Penelitian ini dilatar belakangi oleh rendahnya kemampuan peserta didik dalam berpikir spasial terhadap pembelajaran geografi dengan menggunakan citra Google Earth Penelitian ini bertujuan untuk mengetahui kemampuan peserta didik dalam berpikir spasial terhadap pembelajaran geografi dengan menggunakan citra Google Earth. Data dalam penelitian ini yaitu data hasil tes peserta didik soal tes pembelajaran geografi mengggukan citra Google Earth. Metode pengumpulan data dilakukan dengan tes. Data dianalisis menggunakanuji uji-T dengan SPSS  23 for Windows. Taraf signifikasi  sebesar  0,05 untuk mengambil keputusan uji hipotesis. Bedasarkan hasil Hasil uji hipotesis didasarkan pada taraf signifikansi 0,030 0,05. Penelitian ini dapat ditarik kesimpulan bahwa citra Google Earth dapat memengaruhi kemampuan berpikir spasial siswa