scholarly journals Prioritization of Erosion Prone Micro-Watersheds Using Morphometric Analysis coupled with Multi-Criteria Decision Making

Proceedings ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 11 ◽  
Author(s):  
S. Nitheshnirmal ◽  
Ashutosh Bhardwaj ◽  
C. Dineshkumar ◽  
S. Abdul Rahaman
Keyword(s):  
Soil Erosion ◽  
Morphometric Parameters ◽  
Sar Interferometry ◽  
Soil Productivity ◽  
Ideal Solution ◽  
R Software ◽  
Environmental Threat ◽  
Conservation Measures ◽  
Hierarchy Process ◽  
Very High

Soil erosion is a serious environmental threat amongst the prevailing major natural hazards which affects the livelihood of millions of people around the world. The deterioration of nutrient-rich topsoil can affect the sustainability of agriculture and various ecosystems by decreasing soil productivity. Conservation measures should be implemented in those regions which are critical to soil erosion. The identification of areas susceptible to soil erosion through prioritization of watershed can help in proper planning and implementation of suitable conservational measures. Therefore, in this study, the prioritization of 23 micro-watersheds present in the Dnyanganga watershed of Tapti River basin is carried out based on morphometric parameters and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). TanDEM-X 90m openly accessible DEM generated from SAR interferometry, obtained through DLR, is used for determining the morphometric parameters. These parameters are grouped into linear, areal and relief aspects. Initially, the relative weights of various morphometric parameters used in TOPSIS were determined using Saaty’s Analytical Hierarchy Process (AHP). Thereafter, the MCDM package in R software was utilized to implement TOPSIS. The micro-watersheds were classified into very high (0.459–0.357), high (0.326–0.240), moderate (0.213–0.098), and low (0.096–0.088) prioritization levels based on the TOPSIS highest closeness (Ci+) to ideal solution. It is evident from the results that micro-watersheds (MW10, MW18, MW19, MW2, MW11, and MW17) are highly susceptible to soil erosion and thus, conservation measures can be carried out in these micro-watersheds with the priority to ensure the sustainability of future agriculture by preventing excessive soil loss through erosion.

scholarly journals A GIS Based Morphometric Analysis of Watershed for Soil Erosion Planning

2021 ◽  
Author(s):  
Santosh Wagh ◽  
Vivek Manekar
Keyword(s):  
Soil Erosion ◽  
Morphometric Analysis ◽  
Sediment Load ◽  
Morphometric Parameters ◽  
High Category ◽  
Priority Ranking ◽  
Arc Gis ◽  
Gis Software ◽  
Very High

Abstract Soil erosion, if remain non attentive, will increase the sediment load of the river and also affecting the life of the hydraulic structures constructed across it. Hence, proper investigations related to the soil erosion is very much essential for watershed planners and designers. In the present study, morphometric analysis is carried out for basic, linear, areal, shape and landscape aspects using 28 morphometric parameters for Bhima river watershed to prioritize and categorized it based on its erosive potential. Total 48 toposheet of Survey of India of the scale 1:50,000 are used to delineate the watersheds for the preparation of base map containing information about drainage, contours, etc. so as to ensure accuracy and quality of the work. The All India Soil and Land Use Survey (AISLUS) codification is adopted for the study area. According to AISLUS, the study area falls under region 4, covered in 19 watersheds. Morphometric parameters in Arc-GIS software and compound factor method is employed to identify the sub-watersheds which are susceptible to soil erosion. Final Priority Ranking (FPR) based category map of watersheds is reported in this study by categorized it under five categories indicating % area of each category (very high category: 15.94%; high category: 23.50%; medium category: 12.73%; low category: 23.90%; and very low category: 23.93%). Based on the findings, this study is suggesting suitable sites soil conservation practices for reducing the sediment load in Bhima river watersheds as well as Ujjani reservoir, which will be useful to the concerning authorities for better management.

TERAPAN KOMBINASI METODE TOPSIS DAN ANALYTICAL HIERARCHY PROCESS PADA PEREKOMENDASIAN PENERIMA BEASISWA PENINGKATAN PRESTASI AKADEMIK (Studi Kasus pada STMIK PPKIA Tarakanita Rahmawati)

2017 ◽  
Vol 8 (2) ◽  
pp. 663 ◽  
Author(s):  
Muhammad Fadlan ◽  
Muhammad Muhammad ◽  
Hadriansa
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Analytical Hierarchy Process ◽  
Ideal Solution ◽  
Microsoft Excel ◽  
Order Preference ◽  
Hierarchy Process

Beasiswa Peningkatan Prestasi Akademik (PPA) sebagai salah satu bentuk dukungan pemerintah Republik Indonesia terhadap dunia pendidikan. Beasiswa yang disalurkan oleh pemerintah melalui Perguruan Tinggi yang ada di Indonesia ini, penyeleksian dan penetapan penerimanya sepenuhnya diserahkan kepada pihak Perguruan Tinggi yang bersangkutan. Tahap inilah yang sangat rentan terjadinya kecurangan. Pada objek penelitian  yang diteliti hingga saat ini proses penyeleksian masih dilakukan dengan menggunakan Microsoft Excel, hal ini tentu saja kurang efektif dan efisien, serta rentan akan terjadinya kesalahan bahkan kecurangan. Untuk itu, diperlukan suatu metodologi dan aplikasi yang tepat dalam melakukan penyeleksian penerima beasiswa tersebut. Decision Support System digunakan sebagai solusi untuk melakukan perekomendasian penerima beasiswa, khususnya dengan menggunakan Metode Technique  for  Order  Preference  by  Similarity  to  Ideal  Solution  (TOPSIS)  dan  Analytical  Hierarcy Process (AHP). Penggunaan kombinasi dua metode tersebut dilakukan agar memiliki tingkat akurasi yang baik jika dibandingkan  dengan menggunakan satu metode. Hasilnya,  aplikasi  decision support system dengan penerapan kombinasi metode Topsis dan AHP berhasil di rancang dan di ujicoba, serta sukses dalam perekomendasian penerima beasiswa PPA dengan menghasilkan data alternatif mahasiswa yang terurut mulai dari nilai preferensi yang paling tinggi 0.764 hingga terendah 0.189. Hasil ini dapat menjadi rekomendasi bagi pengambil keputusan dalam mengambil keputusan yang efektik, efisien dan dapat dipertanggung jawabkan.

scholarly journals Integrated Framework for Detecting the Areas Prone to Flooding Generated by Flash-Floods in Small River Catchments

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 758 ◽  
Author(s):  
Romulus Costache ◽  
Alina Barbulescu ◽  
Quoc Bao Pham
Keyword(s):  
Analytical Hierarchy Process ◽  
Process Model ◽  
Buffer Zone ◽  
Training Sample ◽  
Flash Floods ◽  
Operating Characteristics ◽  
Conditioning Factors ◽  
Flood Susceptibility ◽  
Hierarchy Process ◽  
Very High

In the present study, the susceptibility to flash-floods and flooding was studied across the Izvorul Dorului River basin in Romania. In the first phase, three ensemble models were used to determine the susceptibility to flash-floods. These models were generated by a combination of three statistical bivariate methods, namely frequency ratio (FR), weights of evidence (WOE), and statistical index (SI), with fuzzy analytical hierarchy process (FAHP). The result obtained from the application of the FAHP-WOE model had the best performance highlighted by an Area Under Curve—Receiver Operating Characteristics Curve (AUC-ROC) value of 0.837 for the training sample and another of 0.79 for the validation sample. Furthermore, the results offered by FAHP-WOE were weighted on the river network level using the flow accumulation method, through which the valleys with a medium, high, and very high torrential susceptibility were identified. Based on these valleys’ locations, the susceptibility to floods was estimated. Thus, in the first stage, a buffer zone of 200 m was delimited around the identified valleys along which the floods could occur. Once the buffer zone was established, ten flood conditioning factors were used to determine the flood susceptibility through the analytical hierarchy process model. Approximately 25% of the total delimited area had a high and very high flood susceptibility.

Sistem Pendukung Keputusan untuk Menentukan Penerima Bantuan Beasiswa dengan Metode AHP dan TOPSIS

Sainteks ◽  
2021 ◽  
Vol 18 (1) ◽  
pp. 65
Author(s):  
Rima Dwi Mainingsih ◽  
Muhammad Hamka
Keyword(s):  
Analytical Hierarchy Process ◽  
Black Box ◽  
Ideal Solution ◽  
Order Preference ◽  
Black Box Testing ◽  
Hierarchy Process

Salah satu program LAZISMU Banyumas adalah beasiswa. Beasiswa merupakan pemberian bantuan keuangan yang diberikan kepada perorangan yang bertujuan untuk meningkatkan kapasitas SDM atau Sumber Daya Manusia melalui pendidikan. Permasalahan di LAZISMU, sistem bantuan beasiswa masih bersifat manual maka diperlukan suatu sistem pendukung keputusan (SPK) untuk memperhitungkan segala kriteria yang mendukung pengambilan keputusan guna membantu, mempercepat dan mempermudah proses pengambilan keputusan. Metode yang digunakan pada sistem pendukung keputusan adalah metode Analytical Hierarchy Process (AHP) dan metode TOPSIS. Analytical Hierarchy Process (AHP) yang digunakan untuk memperbaiki nilai bobot dari kriteria. Nilai bobot yang dihasilkan dari metode AHP selanjutnya digunakan untuk menentukan proses peranking calon penerima bantuan beasiswa menggunakan metode Technique For Order Preference By Similarity To Ideal Solution (TOPSIS). Metode AHP dan TOPSIS digunakan untuk meningkatkan hasil rekomendasi calon penerima bantuan beasiswa. Hasil klasifikasi kemudian dievaluasi menggunakan Black Box Testing untuk mengetahui apakah fungsi, masukan dan keluaran dari perangkat lunak sesuai dengan spesifikasi yang dibutuhkan. Dengan demikian dapat disimpulkan bahwa sistem aplikasi telah berjalan sesuai dengan tujuan yang diharapkan, karena tidak ditemukan adanya kesalahan pada interface serta sistem yang dirancang dan dibangun mampu mengatasi kelemahan-kelemahan yang terdapat pada sistem yang lama dan memberikan hasil rekomendasi calon penerima bantuan beasiswa.Kata-kata Kunci: sistem pendukung keputusan, penerima beasiswa, AHP, TOPSIS, black box testing

Sistem Pendukung Keputusan Pemilihan Bibit Padi Berkualitas Dengan Metode AHP Dan Topsis

2021 ◽  
Vol 10 (2) ◽  
pp. 162-169
Author(s):  
Istna Mar`atul Khusna ◽  
Novita Mariana
Keyword(s):  
Analytic Hierarchy Process ◽  
Analytical Hierarchy Process ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Hierarchy Process

Abstrak— Bibit merupakan salah satu penentu dalam keberhasilan budidaya tanaman padi. Budidaya tanaman padi dimulai dari memilih bibit tanaman yang berkualitas karena bibit termasuk objek utama yang dikembangkan pada budidaya selanjutnya. Bibit sebagai pembawa gen dari induknya yang akan menentukan sifat dari tanaman setelah berproduksi dan untuk mendapatkan bibit padi yang berkualitas dapat diperoleh dari memilih dan menentukan bibit yang berasal dari induk berkualitas. Kualitas bibit merupakan kunci keberhasilan dalam budidaya padi. Bibit yang berkualitas mampu beradaptasi, memiliki pertumbuhan yang cepat serta seragam, tumbuh lebih cepat, tahan hama dan tinggi nilai produktivitasnya. Untuk mendapatkan bibit padi berkualitas, petani sering mengalami kesulitan. Berdasarkan kesulitan yang dialami petani, maka akan dibangun sebuah sistem pendukung keputusan untuk membantu petani memutuskan bibit yang akan ditanam sesuai dengan kondisi lingkungan tanam dengan mempertimbangkan beberapa aspek kriteria. Dalam mengatasi masalah pemilihan bibit padi tersebut dibuat sebuah program sistem pendukung keputusan agar memudahkan informasi dan rekomendasi kepada petani padi tentang bibit yang berkualitas. Dengan menggunakan dua metode yaitu Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Penentuan bobot kriteria dilakukan dengan menggunakan metode Analytic Hierarchy Process (AHP), sedangkan untuk tahap perankingan dikerjakan dengan menggunakan metode TOPSIS. Hasil yang didapatkan dari penelitian ini adalah padi berkualitas dari lima alternatif yang sudah ditetapkan, yaitu: Sunggal, Inpari32, Ciherang, IR64, Situbagendit. Sistem menghasilkan nilai preferensi tertinggi yaitu 0,858 pada padi Sunggal di urutan pertama dan  0,767 pada padi Inpari32 diurutan kedua. Jadi dari hasil penelitian ini, peneliti merekomendasikan bibit padi berkualitas yang cocok ditanam di di desa sambongbangi yaitu Sunggal dan Inpari32..Kata Kunci : Bibit Padi, DSS, TOPSIS, AHP, Kualitas Bibit Padi

scholarly journals Soil Erosion Susceptibility Prediction in Railway Corridors Using RUSLE, Soil Degradation Index and the New Normalized Difference Railway Erosivity Index (NDReLI)

2022 ◽  
Vol 14 (2) ◽  
pp. 348
Author(s):  
Yashon O. Ouma ◽  
Lone Lottering ◽  
Ryutaro Tateishi
Keyword(s):  
Soil Erosion ◽  
Soil Loss ◽  
Soil Degradation ◽  
Bare Soil ◽  
Landsat 8 ◽  
Arid Environments ◽  
Degradation Index ◽  
Erosivity Index ◽  
Loss Index ◽  
Very High

This study presents a remote sensing-based index for the prediction of soil erosion susceptibility within railway corridors. The empirically derived index, Normalized Difference Railway Erosivity Index (NDReLI), is based on the Landsat-8 SWIR spectral reflectances and takes into account the bare soil and vegetation reflectances especially in semi-arid environments. For the case study of the Botswana Railway Corridor (BRC), the NDReLI results are compared with the RUSLE and the Soil Degradation Index (SDI). The RUSLE model showed that within the BRC, the mean annual soil loss index was at 0.139 ton ha−1 year−1, and only about 1% of the corridor area is susceptible to high (1.423–3.053 ton ha−1 year−1) and very high (3.053–5.854 ton ha−1 year−1) soil loss, while SDI estimated 19.4% of the railway corridor as vulnerable to soil degradation. NDReLI results based on SWIR1 (1.57–1.65 μm) predicted the most vulnerable areas, with a very high erosivity index (0.36–0.95), while SWIR2 (2.11–2.29 μm) predicted the same regions at a high erosivity index (0.13–0.36). From empirical validation using previous soil erosion events within the BRC, the proposed NDReLI performed better that the RUSLE and SDI models in the prediction of the spatial locations and extents of susceptibility to soil erosion within the BRC.

scholarly journals Penentuan Dosen Terbaik Menggunakan Metode Analytical Hierarchy Process (AHP) dan Technique For Order By Similarity To Ideal Solution (TOPSIS): Studi Kasus Akademi Teknologi Bogor

2020 ◽  
Vol 12 (2) ◽  
pp. 62-74
Author(s):  
Arief Wibowo ◽  
Istiqoomatun Nisaa
Keyword(s):  
Analytical Hierarchy Process ◽  
Ideal Solution ◽  
Hierarchy Process

Akademi Teknologi Bogor yang berdiri sejak tahun1997, berlokasi di Kota Bogor. Didukung 40 staf dosen. Dosen mempunyai kedudukan sebagai tenaga professional pada jenjang pendidikan tinggi yang diangkat sesuai dengan peraturan perundang-undangan. Dosen adalah tenaga pendidik yang memberikan sejumlah ilmu pengetahuan kepada anak didik di Perguruan Tinggi. Sistem penentuan dosen terbaik digunakan untuk mendukung kegiatan belajar dan mengajar dikampus agar terciptanya mahasiswa yang berkualitas dan kompeten di bidangnya. Hal ini untuk memenuhi kriteria dosen untuk memutuskan dosen yang dianggap terbaik. Proses penentuan dosen terbaik pada sistem yang berjalan saat ini masih memiliki kekurangan yaitu membutuhkan waktu yang lama untuk memproses data hasil kuesioner, sehingga keputusan yang didapat belum valid. Pada penelitian ini akan dibuat sebuah Sistem Pendukung Keputusan (SPK) dimana sistem ini dapat membantu seseorang mengambil keputusan yang akurat dan tepat sasaran. Adapun metode yang digunakan yaitu metode Analytical Hierarchy Process (AHP) untuk menghitung bobot setiap kriteria dan Technique For Order By Similarity To Ideal Solution (TOPSIS) untuk merangking alternatif berdasarkan setiap kriteria. Hasil penelitian ini adalah sebuah sistem yang mampu menghasilkan urutan perangkingan dalam penentuan dosen terbaik di Akademi Teknologi Bogor.

scholarly journals Soil Erosion and Crop Productivity Loss in Palghar and Thane Districts of Maharashtra

Agropedology ◽  
2019 ◽  
Vol 28 (2) ◽  
Author(s):  
S. V. Shejale ◽  
◽  
S. B. Nandgude ◽  
S. S. Salunkhe ◽  
M. A. Phadtare ◽  
...  
Keyword(s):  
Soil Erosion ◽  
Water Conservation ◽  
Soil Loss ◽  
Productivity Loss ◽  
Research Work ◽  
Crop Productivity ◽  
Soil And Water Conservation ◽  
Conservation Practice ◽  
Conservation Measures ◽  
Soil And Water

Present research work was carried out on soil erosion and crop productivity loss in Palghar and Thane districts. The study also describes tolerable soil loss and relationship between top-soil loss and yield loss. The estimated average annual soil loss was 40.45 t ha-1yr-1 before adoption of the soil and water conservation measures (by USLE method) and estimated average tolerable soil loss was 9.36 t ha-1 yr-1, for Palghar district. Similarly, for Thane district the estimated average annual soil loss and tolerable soil loss were found to be 35.89 t ha-1 yr-1 and 9.61 t ha-1 yr-1, respectively for Thane district. The estimated average conservation practice factor (P) factors were obtained as 0.32 for Palghar district and 0.30 for Thane district to bring the soil loss below the tolerable limit. After adoption of soil and water conservation measures, the estimated soil loss were 9.02 t ha-1 yr-1 and 9.38 t ha-1 yr-1 for Palghar and Thane districts, respectively.

IMPACT OF MONTANE ENVIRONMENTAL LOADS ON THE ENVIRONMENTAL QUALITY OF THE SLOVAK REPUBLIC

2021 ◽  
Author(s):  
Boutheyna Touafchia ◽  
Rached-Kanouni Malika ◽  
Kadi Zahia
Keyword(s):  
Environmental Quality ◽  
Slovak Republic ◽  
Analytic Hierarchy ◽  
Environmental Loads ◽  
Synergistic Interactions ◽  
Average Impact ◽  
Hierarchy Process ◽  
Environmental Burdens ◽  
Very High

Environmental burdens are currently a significant determinant ofenvironmental quality. The occurrence of montane environmental burdens affects the environmental quality at the local, regional and supraregional levels, mostly to a negative extent. Environmental pollution, due to montane environmental burdens is accompanied by a reduction in environmental quality in all spheres of anthropogenic existence. It is for this reason that the presented article studies the occurrence of montane environmental burdens and their impact on environmental quality in individual regions of the Slovak Republic. In the analyses Analytic Hierarchy Process a multi-criteria decision-making method based on values of the weights in terms of the principles of the Saaty matrix – a quantification of synergistic interactions of indicators. The study concentrates on selected comparative years 2008, 2012, 2017 and 2021 and includes a matrix of their elimination. The results present a categorization of montane environmental loads in the Slovak Republic into categories of the environmental load (from very low to very high) on the environmental quality. In the summary matrix of a comprehensive assessment of montane environmental loads, negative indicators (55.65%) prevails over positive ones (44.35%) with a total scoring ratio of 0.80, i.e. III. category, the average impact on environmental quality.

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