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All Journal Sumatra Journal of Disaster, Geography and Geography Education JMM (Jurnal Masyarakat Mandiri) EPI International Journal of Engineering Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat El-Jughrafiyah : Jurnal Geografi dan Terapannya International remote sensing application journal

andi, febriandi

Universitas Negeri Padang

Author-ID : 846583

Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Medicine & Pharmacology Physics Public Health Social Sciences Other

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The Strategy of Geography Teachers in Implementing Standards Process of Permendikbud Number 22 the Year 2016 on Geography Learning in SMA Negeri Solok Regency Helmi, Dewilna; Febriandi, Febriandi
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 : Sumatra Journal of Disaster, Geography and Geography Education

The purpose of this research to know the implementation of standard process that consists of analyzing the lesson plan that prepared by the teacher, analyzing the implementation of learning process, seeing the constraints in implementing the standard process, formulating the teacher strategy in implementing process standard and decreasing the priority of policy direction in implementing process standard in SMA Negeri Solok Regency. The type of research used a mixed method which combines qualitative and quantitative research. Data were collected through, observation, interview, and documentation. Data analysis methods consist of reduction, presentation and verification, SWOT analysis and Interpretive Structural Modeling. The results of the research indicate that: 1) the implementation of standards process seen in the teacher's learning plan has designed syllabus and lesson plan but not fully in accordance with the steps and components of RPP preparation.2) In the implementation of classroom management learning process still not fully in accordance with standards process. Judging from the methods, models, media mastery of the material has not been effective and efficient according to the 2013 curriculum this was due to the lack of understanding of teachers towards the curriculum of 2013, from the assessment of learning outcomes in all three aspects of the assessment conducted only the assessment of knowledge, to attitudes assessment and skills not implemented maximally. 3) The obstacle faced is the unavailability of time in the preparation of the implementation plan of learning because the burden of teaching is high enough, difficulties in the implementation of learning are influenced by low student learning interest and in the assessment of learning still constrained by time. 4) There were nine strategies derived from field research. 5) Priority policy directives that arise to improve the implementation of process standards in geography learning were: Increased interest of teachers in training activities held in MGMP forums so as to improve teacher competence, Curriculum Training 2013 to improve understanding of the reforms conducted in ministerial regulations, academic supervision by school principals and teachers to improve teachers' ability to manage the classroom, and to develop media and interesting learning resources to foster student interest in learning.

Strategy for Community Adaptation in Facing Flood Natural Disasters in Pesisir Selatan District, West Sumatra Triyatno, Triyatno; Ikhwan, Ikhwan; Febriandi, Febriandi
Sumatra Journal of Disaster, Geography and Geography Education Vol 2 No 2 (2018): Sumatra Journal of Disaster, Geography and Geography Education
Publisher : Sumatra Journal of Disaster, Geography and Geography Education

Adaptation of the community to flood natural disasters is part of the flood mitigation natural disaster that often occurs in the rainy season. The aims of this research is to analyze landform units and land characteristics that have flood hazards and community adaptation strategies in dealing with flood natural disasters. The method used in this research is the survey method, which is to collect data on land characteristics as characteristics or characteristics of flooded areas and interviews with local communities about adaptation strategies undertaken to deal with flood natural disasters. The results showed that the landform units formed due to the flood process in the study area were in the form of floodplains, back swamps, alluvial terraces, depression inter beach ridge, and alluvial plain complexes. The unit characteristics of landforms generally have flat morphometry with slopes ranging from 0 - 2%, the genesis of these landform units due to fluvial and marin processes. The constituent material in this area is mud to coarse sand. The rock conditions in this area are rocks originating from volcanoes and undergoing a process of destruction due to processes from the river so that the rocks in this area are gravel, rough sand, fine sand. Soil conditions in each unit of landform also vary from the formation of soil to on newly developed land. Vegetation that grows in each unit landform of this is in the form of natural vegetation and lovely water vegetation or vegetation which requires a lot of water for its growth and development. The community strategy in dealing with flood natural disasters is in the form of staging houses, knowing the time of occurrence of tides, and opening the river estuary if the river estuary is covered by sediment.

The Estimation of Mangroves Area and Density of Mangroves Changes Use the Remote Sensing Data at Northheast Province of Aceh, Indonesia Febriandi, Febriandi
Sumatra Journal of Disaster, Geography and Geography Education Vol 1 No 1 (2017): Sumatra Journal of Disaster, Geography and Geography Education
Publisher : Sumatra Journal of Disaster, Geography and Geography Education

The aim of the research to mapping mangrove estimate mangroves area in time series data at the years 2000, 2005, 2011, and 2015, and looking for density of mangroves changing at the Northeast Province of Aceh. The methodology use data Landsat TM5, OLI TIRS, Administration map, and tools use by ENVI 4.5, ArcGIS 10.1, technical analysis to interpretation mangroves area used the algorithm the maximum likelihood classification, Kernel density to calculate density of mangroves changing. Result of the research. From the estimation of mangrove land with intrepetasi satellite imagery obtained by maximum likelihood algorithma cotton area of mangroves in the study are always varied and changing, change-oriented land areas surrounding existing land use is not mangrove in mangrove areas. Mangrove areas relative change in Kernel density indicated in the model to observe the point of incidence of the changes experienced more change in the frequency changes in the form of multi-time repeated changes of the time period, and changes in the relatively small area that is always on changing every time calculations.

Identification of Physical Characteristics and the Change of Mangrove Region in Coastal Southern Part of Padang City, West Sumatra - Indonesia Yatno, Triyatno Yatno; Febriandi, Febriandi; Putra, Aprizon; Kamal, Eni
Sumatra Journal of Disaster, Geography and Geography Education Vol 3 No 1 (2019): Sumatra Journal of Disaster, Geography and Geography Education (SJDGGE)
Publisher : Sumatra Journal of Disaster, Geography and Geography Education

The research about the identification of mangrove physical condition and the change of mangrove area has aims are knowing of mangrove physical condition and the change of mangrove area in the coastal region southern part of Padang city. The method used in this research is the field survey and multi-temporal satellite imagery analysis in 2001 and 2018 year. Based on the field survey at the date of August 18, 2017 generally the mangrove that found in research location i.e Rhizophora Apiculata, Rhizophora mucronata, Sonneratia alba, and Nypa. The spatial distribution of the mangrove ecosystem is dependent on the ecological conditions of the area as reflected by the types of mangrove vegetation that grows and develops in the research location. A decrease in mangrove area that occurred between of 2001 to the 2017 years i.e in the coastal region of Bungus bay i.e 5.54 ha, where the decrease in mangrove area occurred because some mangrove plants were cut down and made the settlement land, while in the region of Sungai Pisang bay happen to increase in mangrove area i.e 36.12 ha, where the increase in mangrove area occurred because of the region obstructed by big waves of the sea (protected small the islands).

Model of Land Use and Land Cover Change in Koto XI Tarusan District Yatno, Triyatno; Ikhwan, Ikhwan; Febriandi, Febriandi
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 article on models of land use change and land cover in Koto XI Tarusan District, Pesisir Selatan Regency, West Sumatra aims to model changes in land use and land cover in Koto XI Tarusan District, Pesisr Selatan Regency, and to find out the accuracy of the results of modeling changes in land use and land cover 2025 and 2030.The method used in this research is quantitative method using remote sensing data in the form of 2000 Landsat 5 images, 2009 Landsat 7 images, and 2019 Landsat 8 OLI images. The driving force used in this study is the distance from the road, the government center, health facilities, educational facilities, slopes, and elevations.The results showed that the results of modeling changes in land use and land cover in 2025 and 2030 indicated that there were changes in land cover of primary forest, secondary forest and mixed orchard. Land uses that have increased aruilt up area, and oil palm. The results of modeling accuracy test using the overall accuracy obtained in 2025 accuracy is 92.50 % and in 2030 is 89.75%. The accuracy results show that the modeling results have been very good.

Application of Empirical Bathymetry Method on Sentinel 2A for Measuring Water Depth of Maninjau Lake Wendi Arifin; Febriandi Febriandi; Muhammad Hanif; Triyatno Triyatno; Ernieza Suhana Mokhtar; Eka Mutia
EPI International Journal of Engineering Vol 4 No 1 (2021): Volume 4 Number 1, February 2021
Publisher : Center of Techonolgy (COT), Engineering Faculty, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/epi-ije.022021.01

Lake Maninjau is a lake formed by volcanic activity. Many human activities occur on the catchment area, but also in exploited waters. This study aims to mapping the depth of the waters in the Lake Maninjau and assess the effect of field sample distribution on the quality results of the image transformation. The data used are satellite imagery Sentinel 2A, results of point survey. The analysis technique uses the normalized difference water index algorithm, sun glint, empirical bathymetry method and linear regression. The result of the research which is has found that variations of distribution into the dispersion of the recording process of the depth of the object represented by cell. The depth of the water from the results of this transformation refers to the measurement sample in the field survey. The maximum depth of the waters is in the range of 107m. Shallow waters are predominantly distributed in the northern region which is the out late of Lake Maninjau. The southern area forms a deep basin. The distribution of this sample is in the form of an empirical bathymetry map and the relationship between the results of field measurements and the transformation with a regression value of 0.769, this indicates the consideration of total and distribution of survey sample is influence on quality of the results of the transformation.

Pemetaan Kedalaman Perairan Danau Maninjau Dengan Algoritma Empirical Bathymetry Method Pada Citra Sentinel 2A Wendri Arifin; Febriandi Febriandi; Triyatno Triyatno
EL-JUGHRAFIYAH Vol 1, No 1 (2021): El-Jugrafiyah : August, 2021
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Danau Maninjau merupakan danau vulkanik dengan kondisi air berupa air tawar. Penelitian ini bertujuan untuk memetakan kedalaman perairan pada kawasan Danau Maninjau Kabupaten Agam dan menilai pengaruh dari distribusi sampel lapangan pada kualitas hasil transoformasi citra. Data yang digunakan citra satelit Sentinel 2A, titik hasil pengukuran lapangan. Teknik analisis menggunakan algoritma Normalized difference water index, sun glint, Emperical Batimetri Methode dan regresi linear. Hasil dari penelitian ditemukan variasi distribusi kedalam peraian dari proses perekaman kedalaman objek yang direpresentasikan oleh piksel citra, yang mana kedalaman perairan dari hasil transofmrasi ini mengacu pada sampel pengukuran di lapangan. Kedalaman maksimum perairan danau berada pada rentang 107m. Perairan dangkal lebih dominan terdistribusi diwilayah utara perarian yang merupakan outlate dari Danau Maninjau. Sedangkan diwlayah selatan membentuk cekungan dalam. Distribusi sampel ini berupa peta empirical batimetri serta hubungan antara hasil pengukuran lapangan dengan transformasi dengan nilai regresi 0.769, ini menujukan sampel lapangan memberikan pengaruh yang cukup besar pada hasil transofrmasi

ESTIMATION OF LAND SURFACE TEMPERATURE IN BUNGO DISTRICT USING THERMAL CHANNELS OF LANDSAT 8 IMAGES Annisa Firstyandina; Febriandi Febriandi
International Remote Sensing Applied Journal Vol 1 No 2 (2020): international remote sensing application journal (December Edition)
Publisher : Remote Sensing Technology Study Program

The purpose of this study was to determine the land surface temperature in Bungo Regency using the Landsat 8 image thermal channel by carrying out three stages: (1) Mapping the comparison of vegetation density in 2016 and 2021 using the NDVI (Normalized Difference Vegetation Index) method. (2) Mapping land surface temperatures in 2016 and 2021 using the Land Surface Temperature method. (3) Knowing the relationship between LST and NDVI using the Correlation Person test. The results of the study explain the comparison of vegetation density using the Normalized Difference Vegetation Index (NDVI) method in 2016 and 2021 in Bungo Regency. In 2016 the classification is very dense with an area of 124,871 Ha, the classification dense with an area of 115,732 Ha, the classification medium with an area of 98,536 Ha, the classification is rare with an area of 71,920 Ha, and very rare classification with an area of 54,839 Ha. Whereas in 2021 the very dense classification will decrease to 117,216 Ha, the dense classification will decrease to 112,365 Ha, the moderate classification will decrease to 95,892 Ha, the rare classification will increase to 79,310 Ha, and the very rare classification will increase to 61,084.

MAPPING OF LANDSLIDE-PRONE AREAS BASED ON REMOTE SENSING WITH GEOGRAPHIC INFORMATION SYSTEMS IN TANAH DATAR REGENCY, WEST SUMATRA Nadyya 'Azima Muarif; Febriandi Febriandi
International Remote Sensing Applied Journal Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (558.152 KB)

The aims of this study were 1) to determine the classification of landslide-prone levels in Tanah Datar Regency, 2) to and find out the causal factors for Tanah Datar Regency to be categorized as landslide-prone areas. The research method used in this study is the overlay method in the form of a combination of the results of 5 classifications (slope, rainfall, land use, geological structure, and, soil type). The type of research used is quantitative research in the form of surveys and questionnaires, statistical data sets, interviews, and, observations. The results of this study are 1) the area of Tanah Datar Regency is divided into 4 classifications of landslide-prone levels, namely low, medium, high, and very high. The landslide-prone level at the low classification level is in Pariangan District, Ten Koto District, Salimpaung District, and Sungayang District. The medium-level classification is in Batipuh District, Lima Kaum District, and Tanjung Emas District. High-level classification is in the South Batipuh District, Rembatan District, Tanjung Emas District, Padang Ganting District, Lintau Buo District, and North Lintau Buo District. Very high-level classification is in Betipuh Selatan District, Rbatan District, Tanjung Emas District, Padang Ganting District, and Lintau Buo District. Of the 14 districts dominated areas are prone to moderate landslides. This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; 2) the area of Tanah Datar Regency is included in the area prone to landslides characterized by the causal factors, namely the area with hills, excessive natural exploitation The medium level classification is in Batipuh District, Lima Kaum District, and Tanjung Emas District. High-level classification is in the South Batipuh District, Rembatan District, Tanjung Emas District, Padang Ganting District, Lintau Buo District, and North Lintau Buo District. Very high-level classification is in Betipuh Selatan District, Rbatan District, Tanjung Emas District, Padang Ganting District, and Lintau Buo District. Of the 14 districts dominated areas are prone to moderate landslides. This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; 2) the area of Tanah Datar Regency is included in the area prone to landslides characterized by the causal factors, namely the area with hills, excessive natural exploitation Very high-level classification is in Betipuh Selatan District, Rbatan District, Tanjung Emas District, Padang Ganting District, and Lintau Buo District. Of the 14 districts dominated areas are prone to moderate landslides. This is due to the condition of the vegetation which is still very good at overcoming landslides on slopes; 2) the area of Tanah Datar Regency is included in the area prone to landslides characterized by the causal factors, namely the area with hills, excessive natural exploitation characterized by illegal mining, excessive extraction of wood from nature aimed at preventing landslides around slopes, infrastructure development that is not by geographical conditions, and conversion of land functions from forest areas to agricultural areas.

COASTLINE MAPPING IN KOTO TANGAH DISTRICT USING MULTITEMPORAL REMOTE SENSING IMAGES, 2002, 2012 AND 2022 Rizka Nofriyanti; Febriandi Febriandi
International Remote Sensing Applied Journal Vol 3 No 1 (2022): international remote sensing application journal (June Edition 2022)
Publisher : Remote Sensing Technology Study Program

The purpose of this study was to determine changes in the coastline and the extent of abrasion and accretion that occurred from 2002 to 2012 and 2012 to 2022. This study utilized geographic information systems and remote sensing techniques in the form of Landsat 7 imagery in 2002, 2012 and Landsat 8 imagery. in 2022. The research uses the Digital Shoreline Analysis System method 'DSAS' which Net Shoreline Movement (NSM) and Endpoint Rate (EPR). To calculate the area of abrasion and accretion use the Calculate Geometry menu. The results of this study are maps of shoreline changes from 2002 to 2012 and from 2012 to 2022. From 2002 to 2012 the rates and distances that occur are accretions 2012 to 2022, the change in the coastline, the rate and distance that will occur is abrasion. The coastline area due to abrasion increased by 57,702 m in 2002-2012 and 2012-2022, while the coastline area due to accretion in 2002-2012 and 2012-2022 decreased by 61,851 m.

Co-Authors Ahyuni Ahyuni Annisa Firstyandina Aprizon Putra Azhari Syarief Eka Mutia Eni Kamal Ernieza Suhana Mokhtar Helmi, Dewilna I Ketut Suada Lailatur Rahmi Lailatur Rahmi Muhammad Hanif Nadyya 'Azima Muarif Novida Yenni Ramadhan, Risky Rizka Nofriyanti Syafri Anwar Triyatno Triyatno Triyatno Triyatno Triyatno Triyatno Triyatno Triyatno, . Wendi Arifin Wendri Arifin Yatno, Triyatno Yulia Permata Sari Yurni Suasti

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