Articles
<![CDATA[Sosialisasi Potensi Bencana dan Sistem Informasi Geografi (SIG) Kebencanaan di Kabupaten Seluma ]]>
<![CDATA[Supriyono, Supriyono]]>;
<![CDATA[Guntar, Dedi]]>;
<![CDATA[Edwar, Edwar]]>;
<![CDATA[Zairin, Zairin]]>;
<![CDATA[Sugandi, Warsa]]>
<![CDATA[ BAGIMU NEGERI : JURNAL PENGABDIAN KEPADA MASYARAKAT Vol 2, No 1 (2018) ]]>
Publisher : <![CDATA[BAGIMU NEGERI : JURNAL PENGABDIAN KEPADA MASYARAKAT ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (7.6 KB)
|
DOI: 10.26638/jbn.552.8651
<![CDATA[Knowledge and understanding of geographic information systems (GIS) in the field of disaster, GIS can provide a spatial visualization of the potential and mitigation. In implementing this devotion Seluma has a high potential for disaster. So the role and knowledge of GIS in Determining the potential for disaster in Seluma need to be socialized and simulated in order to provide a general description of potential disasters and SIG. GIS in disaster mapping capability to provide trend geographic information that can be understood and support the process of decision making in disaster. Socialization and simulation in service activities aim to: equip public knowledge of potential disasters and provide disaster mitigation efforts of community-based alternatives were alert, responsive and resilient to disasters. Service activities performed by a lecture and demonstration. Lecturing to socialize about potential disasters and GIS. Demonstration method to implement community-based disaster mitigation simulation. The results of the simulation activities of dissemination and disaster mitigation in the Cahaya Negeri Village, Sukaraja District of Seluma country, the regions most vulnerable to disasters is a top priority in mitigation measures. GIS for disaster preparedness is effective as a means of equipping the public knowledge of potential disasters and provide disaster mitigation efforts of community-based alternatives were alert, responsive and resilient to disasters. Judging from the success of the socialization of the target number of participants (85%), achievement of the objectives of socialization (72%), achievement of the target material that has been planned (78%), and the ability of the participants in the mastery of the material (70%). The success can also be seen from the satisfaction of participants socialization and simulation.Keywords: Socialization and Simulation, Disaster Potential and GIS]]>
<![CDATA[Critical Land Detection Watershed River Bengkulu and Effect of Coastal Area using Geographic Information System ]]>
<![CDATA[Supriyono, Supriyono]]>
<![CDATA[ Sumatra Journal of Disaster, Geography and Geography Education Vol 2 No 1 (2018): Sumatra Journal of Disaster, Geography and Geography Education Volume 2 Number 1 ]]>
Publisher : <![CDATA[Sumatra Journal of Disaster, Geography and Geography Education ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (559.845 KB)
|
DOI: 10.24036/sjdgge.v2i1.136
<![CDATA[The specific objective research to detect changes in land for the detection of critical areas and its effect on coastal areas with spatial approach. Determining the change detection of critical areas and coastal areas with Landsat image analysis. The approach used in this study based spatial modeling and then conducted a field survey/matching analysis results with physical characteristics of the land, so that will be obtained data is detection of critical land area and its impact coastal areas. The approach will be analyzed aerial photographs image interpretation and processing of spatial data using geographic information system (GIS). The results of the study are (1) changes in critical land area is 1990 to 240.824 ha or equal 8.384%, in 2005 to 306.202 ha or at 10.661%, in 2015 to 1114.189 ha or by 38.791% and in 2016 with 1211.084 ha or equivalent to 42.164% of the total area of 2872.299 ha. and (2) physical Condition Texture critical land and soil structure to be damaged by coal mining and (3) influence coastal areas their physical shape changes occur in the vast river, meanders and estuaries Bengkulu River watershed are caused by the erosion and deposition rate as a result of coal mining upstream part of the river and waste coal mining activities along the riverbanks.]]>
<![CDATA[Study of Quality Changes and Determination of Water Pollution Index At River watershed Bengkulu ]]>
<![CDATA[Supriyono, Supriyono]]>;
<![CDATA[Utaya, Sugeng]]>
<![CDATA[ Sumatra Journal of Disaster, Geography and Geography Education Vol 3 No 2 (2019): Sumatra Journal of Disaster, Geography and Geography Education (SJDGGE) ]]>
Publisher : <![CDATA[Sumatra Journal of Disaster, Geography and Geography Education ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (350.601 KB)
|
DOI: 10.24036/sjdgge.v3i2.220
<![CDATA[Bengkulu Eksisting problematic conditions on water quality. Seeing the importance of water quality because it is the only source of mineral water Bengkulu city in which the water flowing from the fountain in Central Bengkulu Regency. Context territory that includes two administration (city of Bengkulu and Central Bengkulu District) causing the water quality is not controlled and there is no valid data for data management of the waters of the river basin. So the purpose of this study to analyze the quality of river water in the river watershed segmentation Bengkulu. In order to obtain the level of water quality and water pollution index of a river that became a trend among regions and be detail data for watershed management policies. This study was conducted to test the water quality of the physical parameters, chemical and biological by comparing the results of laboratory tests of water quality 2 seasons. This method is very good for being able to analyze and describe the trend of changes in water quality in the watershed Bengkulu. Data obtained from secondary data and primary data. Secondary data is the result of testing during the dry season. Primary data are data that represent the results of field tests of the rainy season. After the data collected then do the test according to river water quality standards appropriate Government Regulation No.82 of 2001 each parameter water. Then calculated the level of pollution in accordance with the model storet Minister of Environment Decree 115 of 2003. Based on exposure to the above results it can be concluded that the water quality in the watershed physically Bengkulu river water during the rainy season and dry season condition with variations in color and turbidity is murky brownish with no difference significant changes in temperature. Chemical and Biological water quality is a significant change in the elements of the TSS, BOD5, COD, and metal content (Fe, Mn, and Cu) which exceeds the limit of the watershed water quality standard Bengkulu. These changes will have an impact on water biota that live in the river because of the water conditions so. So it can be seen that the river water biota disrupted by the changes in the water. Indications are some companies that exist in mines and factories dump wastes in the river. The quality of water exceeds the water quality standards in the segment of river watershed upstream section that is affected by the mining activities and encroachment of forests due to agricultural extension ie oil palm plantations by the community. While in the Central Part of the watershed is affected by rubber and palm oil processing plant palm. Bengkulu watershed-level water contamination, that the river is heavily polluted with values exceeding water quality standards of pollution. Pollution caused by the exploitation of mining and agricultural extension in DAS Bengkulu give clear results that Bengkulu river is heavily polluted with an indicator that the water turbidity never be above normal during the rainy season and the dry season and the area of the river segment.]]>
<![CDATA[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 ]]>
<![CDATA[Srifitriani, Abditama]]>;
<![CDATA[Supriyono, Supriyono]]>;
<![CDATA[Parwito, Parwito]]>
<![CDATA[ Sumatra Journal of Disaster, Geography and Geography Education Vol 3 No 2 (2019): Sumatra Journal of Disaster, Geography and Geography Education (SJDGGE) ]]>
Publisher : <![CDATA[Sumatra Journal of Disaster, Geography and Geography Education ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (300.515 KB)
|
DOI: 10.24036/sjdgge.v3i2.221
<![CDATA[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.]]>
<![CDATA[Community Preparedness Policy Model in the Adaptation For Danger and Risk of Kaba Volcano Eruption Selupurejang Sub-District ]]>
<![CDATA[Saputra, Beben]]>;
<![CDATA[Ahmad, Supriyono]]>
<![CDATA[ Sumatra Journal of Disaster, Geography and Geography Education Vol 4 No 1 (2020): Sumatra Journal of Disaster, Geography and Geography Education (SJDGGE) ]]>
Publisher : <![CDATA[Sumatra Journal of Disaster, Geography and Geography Education ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (116.193 KB)
|
DOI: 10.24036/sjdgge.v4i1.304
<![CDATA[As a disaster prone area, community preparedness is needed in the adaptation for danger and risk of volcanic disasters. This study aims to formulate community preparedness policy model in the adaptation for danger and risk of Kaba volcano eruption. This research is classified as a combination research (mixed methods). The data is processed and analyzed by AHP (Analytical Hierarchy Process). The results of this research showed that the community preparedness policy model in the adaptation for danger and risk of Kaba volcano eruption is as follows: aspects of compiling the zone of danger and risk (39.1), mapping the zone of danger and risk (23.0), does not build in the danger zone (13.3), does not carry out agricultural activities in the danger zone (10.2).]]>
<![CDATA[Mangrove Density Analysis Using Landsat 8 The Operational Land Imager (OLI) a Case Study Bengkulu City ]]>
<![CDATA[Srifitriani, Abditama]]>;
<![CDATA[Parwito, Parwito]]>;
<![CDATA[Supriyono, Supriyono]]>;
<![CDATA[Oktalia, Lola]]>
<![CDATA[ Sumatra Journal of Disaster, Geography and Geography Education Vol 4 No 2 (2020): Sumatra Journal of Disaster, Geography and Geography Education ( Desember Edition ]]>
Publisher : <![CDATA[Sumatra Journal of Disaster, Geography and Geography Education ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (273.391 KB)
|
DOI: 10.24036/sjdgge.v4i2.346
<![CDATA[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]]>
<![CDATA[Implementasi Good Enviromental Governance dalam Pengelolaan Daerah Aliran Sungai (Das) Bengkulu ]]>
<![CDATA[Harmiati]]>;
<![CDATA[Henny Aprianty]]>;
<![CDATA[Supriyono]]>;
<![CDATA[Deni Triyanto]]>;
<![CDATA[Alexsander]]>
<![CDATA[ JIP (Jurnal Ilmu Pemerintahan) : Kajian Ilmu Pemerintahan dan Politik Daerah Vol 3 No 2 (2018) ]]>
Publisher : <![CDATA[Universitas Pancasakti Tegal ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.24905/jip.3.2.2018.136-148
<![CDATA[Penelitian ini bertujuan untuk mengetahui upaya dan kolaborasi antara pihak pemerintah,swasta, dan masyarakat Kabupaten Bengkulu Tengah dalam pengelolaan Daerah Aliran SungaiBengkulu, sehingga terwujudnya tata kelolah lingkungan yang baik (good enviromentalgovernance). Jenis Penelitian yang digunakan yaitu penelitian deskriptif kualitatif. Datadikumpulkan dengan teknik observasi, wawancara dan dokumentasi. Hasil penelitianmenunjukkan bahwa Pemerintah Kabupaten Bengkulu Tengah belum menerapkan tata kelolahlingkungan yang baik ditunjukan masih buruknya kualitas air disebakan oleh pencemaran limbahpenambangan batu bara di Sub DAS Hilir Sungai Bengkulu. Hal tersebut disebabkan belum adanyaaturan hukum yang menaungi pengelolaan DAS Bengkulu, dan masih rendahnya partisipasipengelolaan DAS antara pihak pemerintah, Swasta dan masyarakat, karena dalam pengelolaanyamasih kurangnya transparan.]]>
<![CDATA[Analisis Spasial Perubahan Bentuk Fisik Sungai Melalui Integrasi Citra Landsat Dan GIS Di Sub DAS Hilir Sungai Bengkulu ]]>
<![CDATA[Supriyono Supriyono]]>;
<![CDATA[Yanmesli Yanmesli]]>
<![CDATA[ Jurnal Georafflesia: Artikel Ilmiah Pendidikan Geografi Vol 1 No 1 (2016) ]]>
Publisher : <![CDATA[Universitas Prof. Dr. Hazairin, S.H ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32663/georaf.v1i1.160
<![CDATA[Penelitian ini bertujuan untuk menganalisis perubahan bentuk fisik sungai di Sub DAS Hilir Sungai Bengkulu. Analisis perubahan bentuk fisik sungai dengan interpretasi Citra Landsat dari tahun 1990, 2003 dan 2014. Perubahan bentuk fisik sungai dibagi dalam 3 segmen Sungai yaitu bagian Hulu, Tengah dan Hilir, sehingga kenampakan perubahan spasial lebih detail. Basis data spasial dibangun berdasarkan hasil interpretasi citra dan digitasi citra dengan model penggabungan band 543, ini dilakukan untuk memperoleh data perbedaan batas air dan daratan lebih kontras dan jelas. Metode pendekatan yang digunakan adalah hasil analisis basis data bentuk fisik sungai di overlay dengan Sitem Informasi Geografis untuk memperoleh data perubahan bentuk fisik sungai yaitu pola aliran, luas dan menader sungai. Hasil penelitian (1). Pola aliran sungai relatif tetap dengan pola aliran sungai didominasi oleh pola aliran dentritik yaitu sungai dan anak sungai utama saling tegak lurus bermuara pada sungai-sungai utama atau langsung bermuara ke laut, (2). Perubahan luas sungai yang paling dominan terjadi antara tahun 2003-2014 yang terlihat dari penambahan luasan sungai sebesar 37,88 ha. (.3). Meander sungai di pengaruhi oleh faktor Sedimen yang dibawa oleh anak sungai yang bermuara ke sungai utama aliran sungai. Tingginya sedimentasi diakibatkan erosi yang cukup tinggi dan faktor manusia dapat berupa rekayasa alur sungai dan perubahan penggunaan tanah.]]>
<![CDATA[PENGARUH PEMBERIAN KOMPOSISI PAKAN TEPUNG TONGKOL JAGUNG YANG BERBEDA TERHADAP PERTUMBUHAN IKAN TAWES (Puntius javanicus) ]]>
<![CDATA[Aan Novrianto]]>;
<![CDATA[Yulfiperius Yulfiperius]]>;
<![CDATA[Andriyeni Andriyeni]]>;
<![CDATA[Asro Nurhabib]]>;
<![CDATA[Supriyono Supriyono]]>
<![CDATA[ Jurnal Agroqua: Media Informasi Agronomi dan Budidaya Perairan Vol 17 No 1 (2019): Agroqua Journal ]]>
Publisher : <![CDATA[University of Prof. Dr. Hazairin, SH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (228.703 KB)
|
DOI: 10.32663/ja.v17i1.472
<![CDATA[This research was conducted in April s / d June 2017 located in Fisheries Laboratory of University Prof. Dr. Hazairin, SH Bengkulu. The design of this study used a Completely Randomized Design with 4 Treatments and 6 repeats. The treatments were (1) = CornCob 157 gram, (2) = Corncob 167 gram, (3) = CornCob 177 gram, (4) = Corncob 187 gram. To know the effect or not done an analysis of variance and continued with a test of the Duncan Multiple Range Test (DMRT) 5% and 1%. The parameters observed were absolute weight, absolute length, feed conversion, feed efficiency, and fish survival. The results showed that giving different feed composition of corn cob feed was a significant effect on absolute weight growth, absolute length, feed conversion, feed efficiency but no significant effect on survival of Tawes (Puntius javanicus). Absolute weight growth, absolute length, feed conversion, and feed efficiency are best found in Treatment P1 = Corncob 157 grams and survival of Tawes (Puntius javanicus) 100%.]]>
<![CDATA[Pelatihan dan Pendampingan Penulisan Artikel Ilmiah pada Guru Sekolah Dasar di Kecamatan Air Periukan Kabupaten Seluma Provinsi Bengkulu ]]>
<![CDATA[Danner Sagala]]>;
<![CDATA[Supriyono Supriyono]]>;
<![CDATA[Dodo Sutardi]]>;
<![CDATA[Prihanani Prihanani]]>
<![CDATA[ Abdihaz: Jurnal Ilmiah Pengabdian pada Masyarakat Vol 1 No 1 (2019): June ]]>
Publisher : <![CDATA[Universitas Prof. Dr. Hazairin, SH ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.32663/abdihaz.v1i1.742
<![CDATA[Workshop and Mentoring of Scientific Writing on Elementary School Teacher in Air Periukan Subdistrict, Seluma Regency and Bengkulu Province This community service was aimed to help teachers understand the concepts and processes of publicizing scientific articles in scholarly journals. The target of the program was the teachers are able to compile a manuscript and be accompanied until it is ready to be sent to the scholarly journal. The participants were members of the Air Periukan Subdistrict Teacher Working Group in Seluma District, Bengkulu Province. The training was carried out with participatory lecturing and mentoring methods. The results of observations on the implementation of the program through evaluation showed that the teachers had a high interest in being trained to publish scientific articles. However, high interest has not been followed by the number of manuscripts produced. The unfamiliarity of the publication of scientific articles has led to scientific publications becoming a "scourge" and reducing the teacher’s self-confidence to publish their scholarly article in peer-reviewed scientific journals. This program produced 12% of article drafts from 52 participants. This concluded that the program has to be continued so that the scientific work of teachers published in the scholarly journals will increase.]]>
