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ESTIMATION OF MANGROVE FOREST CARBON STOCK USING THE VEGETATION INDEX METHOD IN PADANG PARIAMAN DISTRICT Insanul Putri; Yudi Antomi; Febriandi Febriandi; Azhari Syarief
International Remote Sensing Applied Journal Vol 4 No 1 (2023): International Remote Sensing Application Journal (June Edition 2023)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v4i1.43

Abstract

Padang Pariaman Regency is categorized as a coastal district because it has a coastline of 42.11 km. Padang Pariaman Regency has resources, one of which is mangrove forests. Mangrove forests are scattered in several sub-districts in Padang Pariaman Regency. This study aims to determine the estimated carbon stock value of mangrove forests in Padang Pariaman District using the Geographic Information System and Landsat 8 imagery, and to determine the accuracy of the carbon stock estimation results from the Landsat 8 imagery vegetation index. The method used in this study isNormalized Difference Vegetation Index (NDVI). Based on the estimation results of the above surface biomass values ​​obtained from the calculation of the correlation and regression equations in band 6 Landsat 8 imagery shows that the estimation results of the above surface biomass of mangrove forests in Padang Pariaman District obtain a maximum value of 644.85 tons/ha and a minimum value of 487, 92 tons/ha to obtain an estimated carbon stock value of 46% of the biomass value and an estimated maximum carbon stock value of 296.63 tons/ha and a minimum of 224.44 tons/ha.
Analisis Spasial Pengelolaan Sampah Rumah Tangga di Kota Bukittinggi Zuhdi, Iqbal; Syarief, Azhari
YASIN Vol 4 No 3 (2024): JUNI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/yasin.v4i3.2990

Abstract

This study aims to determine the distribution pattern of landfills in the city of Bukittinggi and the route of waste transportation vehicles so that people know the time and route of waste disposal. This research uses a quantitative method used to calculate the value of the distribution of landfill areas in the city of Bukittinggi. The analysis technique used is to use nearest neighbor analysis with routes and tracking. After obtaining the route, data processing will be carried out using the ArcGis application so that a map of the garbage transportation distribution path is obtained. Based on the research that has been done, it is found that the distribution pattern of Bukittinggi TPS through Average Nearest Neighbor analysis using ArcMap application. 10.4.1 is random and more located close to the city center.
Machine Learning to Identify Slum Settlements Based on Satellite Imagery Case Study: Padang City Ramadhan, Risky; Syarief, Azhari
Sumatra Journal of Disaster, Geography and Geography Education Vol. 8 No. 1 (2024): Sumatra Journal of Disaster, Geography and Geography Education (June Edition)
Publisher : Sumatra Journal of Disaster, Geography and Geography Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sjdgge.v8i1.611

Abstract

Mapping of slums in Indonesia uses a survey-based mapping method. This method requires a lot of time and money, especially when updating data, especially during the current pandemic, it will be risky. Based on the Minister of PUPR Number 14/PRT/M/2020. Over the last 6 years (2014-2020), the mapping of slums cost 382 billion. In addition, the main disadvantage of the survey method is the inconsistency of the results due to the interpretation of surveyors in different fields. To overcome this problem, remote sensing-based slum identification with a machine learning approach with the help of High-Resolution Satellite Imagery (CSRT) and support vector machine (SVM) features can quickly and cheaply calculate slum areas. Therefore, the objectives of this study are (1) Identifying the distribution of slums using machine learning methods based on Satellite Imagery in Padang City. Based on the description above, it can be concluded that the level of slums in the identified areas of slum settlements in Padang City is predominantly light category. There is only one ward, Teluk Kabung Selatan, which is at the medium category. Slums not always squatter which is proven by the ownership status of the land certificate. Pasar Ambacang Ward has the most families in slum settlements (1.112 families). Meanwhile, Tarantang Ward has the smallest slum families in the identified slum area (25 families). Based on the results of the analysis using support vector machine and field verification, slums were identified in 45 (forty-five) villages spread across 11 sub-districts with a total area of 129.16 hectares. This condition is supported by the centralization of activities in the core village of Padang City, which creates a development gap with the hinterland area.
FLOOD IDENTIFICATION BY UTILIZING REMOTE SENSING AND SPATIAL ANALYSIS TECHNIQUES IN PADANG CITY Islami, Refki Addea; Ernawati, Ernawati; Edial, Helfia; Syarief, Azhari
International Remote Sensing Applied Journal Vol. 5 No. 1 (2024): International Remote Sensing Application Journal (June Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i1.55

Abstract

Natural disasters floods are the most common disasters found almost everywhere, floods can cause damage and can even take lives. The city of Padang is often hit by flood disasters which result in damage and loss for those affected. This research aims to 1) To find out the results of identifying flood-prone areas by utilizing remote sensing and spatial analysis techniques in Padang City; 2) To determine the level of flood vulnerability by utilizing remote sensing and spatial analysis techniques in Padang City. This research uses an overlay method which combines several parameters. Parameters for identifying areas that have the potential for flooding in this research include slope, rainfall, land use, elevation, soil type, and river buffer. Each of these parameters is given a different scoring value and weight, then an overlay analysis is carried out and a flood hazard map will be produced as a result of the combination of parameters used. After obtaining the results from the overlay analysis of all parameters, the map of potential flood areas will be divided into 3 vulnerability classes, namely low, medium and high vulnerability classes. The results of the research are that the low vulnerability class has an area of ​​33854.4 ha with a percentage of 49% of the total area of ​​Padang City, the medium vulnerability class has an area of ​​26337.6 with a percentage of 38.2% of the total area, and the high vulnerability class has an area of ​​8823.3 ha with a percentage of 12.8% of the total area.
USE OF REMOTE SENSING AND GEOGRAPHIC INFORMATION SYSTEMS FOR FOREST RESOURCE BALANCE MAPPING IN LEMBAH GUMANTI DISTRICT, SOLOK DISTRICT sausaen, laura ovia; Syarief, Azhari; Iswandi U, Iswandi U; Putri, Sri Kandi
International Remote Sensing Applied Journal Vol. 5 No. 1 (2024): International Remote Sensing Application Journal (June Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i1.56

Abstract

The forest resources balance sheet prepared for the implementation of law no. 41 of 1999 ratified article 13 paragraph (4), in the technical process of implementation it always refers to the decision of the Minister of Forestry no. 6444/kpts-ll/1999 regarding instructions for preparing forest resource balance sheets. The forest resource balance sheet is information that describes forest resource reserves, loss and use of forest resources so that at a certain time the trend of surplus or deficit compared to the previous period can be seen. Law. 41 of 1999, article 13 paragraph 4. Remote sensing offers great potential for the development of methods for calculating the balance of forest resources and changes in the forest sector and geographic information systems (SIG) which are used to provide digital form and analysis of the earth's geographic surface so as to form precise and accurate spatial information. This research uses quantitative analysis. This research aims to determine changes in forestry stocks in the Gumanti Valley district, and knowledge about forest balance in the Gumanti Valley region. The results of research based on data show that around -12,708 ha of land in the form of secondary forest has experienced a reduction or deficit in area. Apart from that, other land that has experienced a reduction in area is primary forest. Meanwhile, the land that has experienced the most significant increase in area is in the form of fields covering an area of ​​+13,239 ha from 2017 to 2023.
THE USE OF SENTINEL-2A IMAGERY FOR MAPPING THE CONVERSION OF AGRICULTURAL LAND INTO DEVELOPED LAND USING THE OBIA METHOD IN BATANG ANAI DISTRICT 2017 AND 2022 syahadani, meilani; Syarief, Azhari; Ramadhan, Risky; Fitriawan, Dedy
International Remote Sensing Applied Journal Vol. 5 No. 1 (2024): International Remote Sensing Application Journal (June Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i1.57

Abstract

Indonesia is a developing country with a population growth rate of 1.38%. Due to the relatively strong population growth every year, this greatly affects land change. Therefore, the phenomenon of land use change emerged. In general, the rate of population growth correlates with the rate of land use change, which results in increased satisfaction of land-use needs such as settlements and public facilities. This study aims to determine the Change in Land Cover resulting from the Change of Agricultural Land Function into developed land and where the direction of changing agricultural land to developed land in Batang Anai District. This study uses a quantitative approach by utilizing Remote Sensing using Object-Based Classification (OBIA). Based on the interpretation results on Sentinel-2A images in 2017 and 2022, 8 land cover classes were found with an Overall Accuracy of 91% and a Kappa Index of 89.80%. Agricultural land in Batang Anai District has undergone land conversion into built-up land of 304.2 Ha or 8.70% of the agricultural land area in Batang Anai District with a total of 3499.16 Ha so that the remaining agricultural land area in 2022 is 3194.96 Ha. As a result of the land use change, there was a development of built-up land which was converted into housing development, public facilities and the Padang-Pekanbaru toll road leading from South to North.
Good Public Policy In Nagari: Solusi Untuk Permasalahan Sosial Ekonomi Masyarakat Berbasis Kebijakan Deliberatif Di Nagari Binjai Tapan Alhadi, Zikri; Yusran, Rahmadani; Syarief, Azhari; Riandini, Ory; Hidayat, Rizki
Jurnal Administrasi Pemerintahan Desa Vol. 5 No. 1 (2024): Maret 2024
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/villages.v5i1.82

Abstract

Artikel ini mendeskripsikan penerapan good public policy di Nagari Binjai Tapan Kabupaten Pesisir Selatan untuk menjadi solusi bagi permasalahan sosial kemasyarakatan dengan menggunakan konsep berbasis deliberatif. Tujuannya dari penerapan good public policy ini adalah untuk memperkuat kapasitas dan kelembagaan nagari baik sumber daya manusia, kelembagaan maupun sistem dan prosedur dalam memecahkan permasalahan yang ada di masyarakat sehingga dapat mencapai kesejahteraan sosial. Ada beberapa persoalan yang ditemukan untuk menerapkan good public policy ini yaitu: Pertama, kurangnya pengetahuan dan keterampilan pemerintah nagari dalam proses policy making dan legal drafting pada kebijakan/peraturan secara partisipatif. Kedua, kurangnya keterlibatan stakeholders di nagari untuk ikut menyumbangkan ide dan solusi dalam menyusun Peraturan Nagari. Dan ketiga, masih rendahnya tata kelola pemerintah nagari dalam proses perumusan dan implementasi kebijakan/peraturan di Tingkat Nagari. Sehingga dampak dari hal tersebut adalah belum tercapainya kesejahteraan sosial untuk mencegah, mengatasi dan/atau memberikan solusi terhadap pemecahan permasalahan sosial dan peningkatan kualitas hidup masyarakat. Berdasarkan temuan penelitian, ada tiga persoalan yang di hadapi oleh Nagari Binjai Tapan khususnya bidang sosial kemasyarakatan yaitu: pertama, persoalan ketenteraman dan ketertiban masyarakat, kedua, persoalan pemberdayaan kelompok usaha masyarakat dan ketiga kebersihan dan kelestarian lingkungan nagari. Sebagai solusi dari permasalahan tersebut diperlukan perancangan dan implementasi kebijakan pada level nagari yang berbasis deliberatif dengan melibatkan para pemangku kepentingan yang relevan. Tiga persoalan ini yang akan yang harus dilakukan secara deliberatif dalam merumuskan dan mengimplementasikan serta melakukan evaluasi terhadap kebijakan/peraturan nagari tersebut.
Analisis Perubahan Tutupan Lahan Kecamatan Batang Anai Kabupaten Padang Pariaman Tahun 2002-2022 Fauzan, Healdy; Syarief, Azhari
Al-DYAS Vol 3 No 2 (2024): JUNI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/aldyas.v3i2.2936

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Land cover change is a process of change from previous land cover to other land cover and is also long or temporary in nature which is a form of logical consequence of growth and transformation. The purpose of this study was to identify and determine land cover in Batang Anai Sub-district. The research method uses the overlay method, map analysis approach and also regression statistics, namely Landsat images of land cover of the study area in 2002 and 2022 sourced from the Research Center. Significant changes in the area of each category reflect major shifts in the land use structure of the area over the period 2002 to 2022. An increase in urban and wet-rice farming, along with a decrease in the area of shrubs, are highlighted. The driving factor for land change in the Batang Anai sub-district is caused by people who want to increase their income from existing land by expanding their plantation or agricultural land and also building built-up land.
Studi Identitas Regional untuk Pariwisata Berkelanjutan di Kecamatan IV Koto Kabupaten Agam Fadhillah, Abdul Khaliq; Syarief, Azhari
Al-DYAS Vol 3 No 2 (2024): JUNI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/aldyas.v3i2.2939

Abstract

Tourism is growing rapidly globally, making an important economic contribution in Indonesia. However, it is necessary to focus on sustainable tourism that considers ecological and cultural aspects. This research aims to identify regional identity for sustainable tourism in IV Koto Sub-district, Agam Regency based on the potential of natural and cultural resources. The research method used in this research is quantitative and qualitative approaches, this research analyzes primary and secondary data to evaluate the attractiveness of natural attractions and cultural elements of interest to local communities. The results showed that the Great Wall of Koto Gadang was the natural attraction with the highest potential as a regional identity, while traditional ceremonies, particularly batagak gala, became the most significant cultural identity. The findings emphasize the importance of utilizing natural and cultural resources in a sustainable manner, involving the active participation of local communities in tourism development.
Identifikasi Perubahan Tutupan Lahan Daerah Aliran Sungai (DAS) Sumpur Menggunakan Citra Landsat 8 Oli Tahun 2014-2024 Marantika, Dewi; Syarief, Azhari
Al-DYAS Vol 3 No 3 (2024): OKTOBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/aldyas.v3i3.3529

Abstract

The tendency of people to live in river basins will trigger the growth of settlements and human activities that require more land. This causes an increase in land requirements in river basins. As a result, there is a change in land use around the river basin, which was originally a vegetated forest area to become non-vegetated, resulting in a decrease in the carrying capacity of the watershed. This research aims to determine how much land cover has changed in the Sumpur watershed over the last 10 years (2014-2024). This type of research is quantitative with a spatial descriptive approach. The method for making land cover maps for the Sumpur watershed is supervised classification. Meanwhile, the method used to calculate the area of land cover change is through the calculate geometry tool. The results of the research show that land cover changes occurred in the Sumpur watershed from 2014 to 2024. The most extensive increase in land change occurred on built-up land and moors/fields. Meanwhile, other types of land cover such as forests, rice fields and mixed gardens tend to experience a decline. Land previously used for agriculture or forests was converted into built-up land for various development purposes.