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All Journal Sumatra Journal of Disaster, Geography and Geography Education Georafflesia : Artikel Ilmiah Pendidikan Geografi Jurnal Pengabdian Masyarakat Borneo

Srifitriani, Abditama

Unknown Affiliation

Author-ID : 988961

Humanities Earth & Planetary Sciences Education Environmental Science Social Sciences Other

Published : 4 Documents Claim Missing Document

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Articles

PELATIHAN PENELITIAN TINDAKAN KELAS (PTK) BAGI GURU SD NEGERI DI KECAMATAN SUKARAJA KABUPATEN SELUMA Dihamri, Dihamri; Haimah, Haimah; Srifitriani, Abditama
Jurnal Pengabdian Masyarakat Borneo Vol 2, No 1 (2018)
Publisher : LPPM UBT

Guru- guru Sekolah Dasar (SD) kesulitan naik pangkat khususnya dari golongan IV/a ke IV/b karena tidak dapat memenuhi persyaratan dalam bidang karya tulis ilmiah. Tujuan akhir pengabdian ini adalah agar guru-guru SD memiliki kompetensi menyusun proposal Penelitian Tindakan Kelas (PTK). Pelatihan akan bermanfaat bagi guru dalam peningkatan profesional dan memenuhi persyaratan kenaikan pangkat. Metode yang digunakan untuk mencapai tujuan tersebut adalah pelatihan dan bimbingan. Guru-guru dilatih penyusunan proposal PTK. Pelatihan dilaksanakan enam kali pertemuan, bimbingan kelompok tiga kali pertemuan dan bimbingan individu masing-masing tiga kali pertemuan. Bimbingan juga dilakukan lewat hp (handphone), wa (WhatsApp), dan email. Selama kegiatan dilakukan monitoring dan setelah kegiatan diadakan evaluasi. Kegiatan pelatihan dilaksanakan sesuai rencana. Hasilnya guru-guru dapat menyusun proposal PTK bahkan ada yang dapat menyusun laporan PTK.

Study of Model Object-Based Image Analysis (OBIA) For Data Interpretation Based Mangrove Vegetation Landsat 8 Operational Land Imager on the West Coast City of Bengkulu Srifitriani, Abditama; Supriyono, Supriyono; Parwito, Parwito
Sumatra Journal of Disaster, Geography and Geography Education Vol 3 No 2 (2019): Sumatra Journal of Disaster, Geography and Geography Education (SJDGGE)
Publisher : Sumatra Journal of Disaster, Geography and Geography Education

Mangrove identification by using the image has been done with the classification model by pixel in the image value. But in this study see the interpretation of Landsat image data to the analysis of the object in the mangrove. Mangrove forests as major ecosystems support life activities in the coastal area and play an important role in maintaining the balance of the biological cycle in the environment. The potential of natural resources needs to be managed and utilized optimally to support the implementation of national development and improving people's welfare. So as to develop the coastal economic continuity with the management of mangrove forests as ecotourism. Identification observation and extensive distribution of mangrove forests in the western coastal city of Bengkulu was conducted in April 2019 by boat. Digital data Landsat 8 OLI (Operational Land Imager) parth / raw 125/63 used to map the mangrove forest. The method used in this study is a controlled multispectral classification Object-Based Image Analysis (OBIA) with the segmentation algorithm. Segmentation is performed using an algorithm Multiresolution Segmentation Segmentation and Spectral Difference. The results of the data analysis of Landsat 8 OLI and validation of field observation data, shows that the accuracy and wide distribution of mangrove forests in the coastal areas west of the city of Bengkulu is 255.24 ha. This method can be made an alternative to identifying information in mapping mangrove vegetation. Mangroves in the coastal areas west of the city of Bengkulu dominated by Rhizophora apiculata, Rhizophora mucronata and relatively good. Segmentation is performed using an algorithm Multiresolution Segmentation Segmentation and Spectral Difference. The results of the data analysis of Landsat 8 OLI and validation of field observation data, shows that the accuracy and wide distribution of mangrove forests in the coastal areas west of the city of Bengkulu is 255.24 ha. This method can be made an alternative to identifying information in pemetaanya mangrove vegetation. Mangroves in the coastal areas west of the city of Bengkulu dominated by Rhizophora apiculata, Rhizophora mucronata and relatively good. Segmentation is performed using an algorithm Multiresolution Segmentation Segmentation and Spectral Difference. The results of the data analysis of Landsat 8 OLI and validation of field observation data, shows that the accuracy and wide distribution of mangrove forests in the coastal areas west of the city of Bengkulu is 255.24 ha. This method can be made an alternative to identifying information in pemetaanya mangrove vegetation. Mangroves in the coastal areas west of the city of Bengkulu dominated by Rhizophora apiculata, Rhizophora mucronata and relatively good. This method can be made an alternative to identifying information in pemetaanya mangrove vegetation. Mangroves in the coastal areas west of the city of Bengkulu dominated by Rhizophora apiculata, Rhizophora mucronata and relatively good. This method can be made an alternative to identifying information in pemetaanya mangrove vegetation. Mangroves in the coastal areas west of the city of Bengkulu dominated by Rhizophora apiculata, Rhizophora mucronata and relatively good.

Mangrove Density Analysis Using Landsat 8 The Operational Land Imager (OLI) a Case Study Bengkulu City Srifitriani, Abditama; Parwito, Parwito; Supriyono, Supriyono; Oktalia, Lola
Sumatra Journal of Disaster, Geography and Geography Education Vol 4 No 2 (2020): Sumatra Journal of Disaster, Geography and Geography Education ( Desember Edition
Publisher : Sumatra Journal of Disaster, Geography and Geography Education

The change in crown density is an indication for monitoring its quality. The use of satellite imagery on remote sensing data in the form of Landsat has been carried out. Along with the development of the Landsat series satellite imagery, in this study, Landsat 8 OLI image processing was carried out on May 27, 2019, to analyze the distribution and density of mangroves using vegetation index analysis on the West Coast of Bengkulu City. The mangrove identification stages were carried out using the composite band RGB 564, then the mangrove and non-mangrove objects were separated using the unsupervised classification method. The next step is to analyze mangrove density using the NDVI formula. The results showed that the mangrove area on the West Coast of Bengkulu was 155.24 Ha. The analysis of the vegetation index in the mangrove area showed that dense density classes dominated the mangrove density conditions

Potensi Ekowisata Hutan Mangrove Berbasis Go Green di Kawasan Pesisir Barat Kota Bengkulu Srifitriani, Abditama; Supriyono, Supriyono
Jurnal Georafflesia : Artikel Ilmiah Pendidikan Geografi Vol 8 No 2 (2023)
Publisher : Universitas Prof. Dr. Hazairin, S.H

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32663/georaf.v8i2.4316

Secara geofrafis Kota Bengkulu menjadi kawasan pesisir pantai barat pulau Sumatra. Kawasan ini sebagai upaya menyelamatkan bumi dari kerusakan (go green) dan memiliki peluang dalam pengembangan pariwisata mangrovenya. Kebutuhan pariwisata mangrove seolah memberikan nilai yang menarik tahun 2020 menjadi trend wisata berbasis go green sehingga potensi mangrove dalam pengembangan diperlukan kajian mendalam dari berbagai aspek. Oleh karena itu, perlu dilakukannya penelitian yang bertujuan untuk mengetahui potensi dan daya tarik wisata mangrove yang ada di Kawasan Pesisir Barat Kota Bengkulu serta menghitung nilai keindahan dari potensi tersebut sehingga dapat dikembangkan menjadi kawasan wisata yang mendukung kelestarian alam dan meningkatkan kesejahteraan masyarakatnya. Penelitian dilaksanakan pada bulan April-September 2020, metode pengumpulan data dilakukan dengan pengamatan langsung di lapangan (observation) dan wawancara secara langsung dengan responden untuk memberikan penilaian terhadap keindahan potensi wisata. Analisis data dilakukan dengan metode deskriptif dan scenic beauty estimation. Hasil penelitian menunjukkan bahwa potensi dan daya tarik objek wisata mangrove di Kawasan Pesisir Barat Kota Bengkulu adalah ekosistem mangrove,aliran sungai mangrove, muara sungai dan pantai. Kegiatan yang dapat dilakukan adalah fotografi (photography), pengamatan burung (bird watching), menyusuri hutan mangrove (mangrove walk),dan memancing (fishing). Potensi dan daya tarik wisata mangrove Kawasan Pesisir Barat Kota tinggi dengan nilai SBE sebagai berikut; pantai (42), aliran sungai mangrove (20), dan muara sungai mangrove (19).

Co-Authors Dihamri, Dihamri Haimah, Haimah Oktalia, Lola Parwito Parwito, Parwito Supriyono Supriyono Supriyono, Supriyono

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