Assessment of groundwater vulnerability in highly industrialized Noyyal basin using AHP-DRASTIC and Geographic Information System

Saranya, Thiyagarajan; Saravanan, Subbarayan; Jennifer, Jesudasan Jacinth; Singh, Leelambar

doi:10.1016/b978-0-323-85195-4.00009-3

Cited by 7 publications

(3 citation statements)

References 39 publications

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“…Lahan merupakan syarat yang harus di perhatikan dalam budidaya tanaman sirih, hal ini sangat menentukan kualitas sirih yang akan ditanam [1]. Tanah yang akan ditanami sirih harus benar-benar subur dan mengandung unsur hara yang cukup.…”

Section: Latar Belakangunclassified

Sistem Pendukung Keputusan Pemilihan Lahan Penanaman Sirih Menggunakan Metode Analytical Hirarchy Process (AHP)

Rezki,

Umar,

Fadlil

2024

jtik

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Lahan merupakan syarat yang harus diperhatikan dalam budidaya sirih, karena sangat berpengaruh pada kualitas sirih yang ditanam. Lahan yang memiliki kualitas kurang baik dapat menyebabkan hasil panen sirih menurun sehingga tidak tahan lama, gampang busuk, keriting serta memiliki harga jual yang rendah. Berdasarkan permasalahan tersebut, dibutuhkan sistem yang dapat mempermudah masyarakat untuk memilih lahan penanaman sirih yang tepat yaitu menggunakan Sistem Pendukung Keputusan (SPK). SPK dalam penelitian ini menggunakan metode AHP dengan kriteria pH tanah, suhu udara, curah hujan, ketinggian tanah dan cahaya matahari serta aternatif yang terdiri dari Kelurahan Mariat Gunung, Klaru, Klamono dan Malasom. Penentuan perangkingan didasarkan pada nilai rasio konsistensi <0,1 yang diartikan benar berdasarkan teori hitung CR.. Perangkingan lahan tertinggi pada Kelurahan Klaru urutan 1, Mariat Gunung urutan 2, Klamono urutan 3 dan Malasom urutan 4. Disimpulkan metode AHP dapat digunakan untuk pengambilan keputusan pemilihan lahan dalam penanaman sirih.

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Section: Latar Belakangunclassified

Sistem Pendukung Keputusan Pemilihan Lahan Penanaman Sirih Menggunakan Metode Analytical Hirarchy Process (AHP)

Rezki,

Umar,

Fadlil

2024

jtik

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“…One of the multi-criteria decision analyses (MCDA) techniques used by the researchers to determine the rank of the alternatives with several criteria is the Analytical Hierarchy Process (AHP). AHP was formulated by Saaty [14], and this method can help obtain the best decision among several alternatives while considering different parameters [15]. With the various bus providers in the provincial set-up, it is necessary to determine if the passengers are satisfied with the services provided.…”

Section: Introductionmentioning

confidence: 99%

Determining Factors Affecting Perceived Customer Satisfaction on Public Utility Bus System in Occidental Mindoro, Philippines: A Case Study on Service Quality Assessment during Major Disruptions

et al. 2023

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The imposition of lockdown due to the COVID-19 pandemic has affected the majority of enterprises throughout the globe. The public transportation sector was greatly affected, especially in provincial areas in the Philippines. This study aimed to investigate the service quality of bus transits in Occidental Mindoro during the COVID-19 pandemic using Analytical Hierarchy Process (AHP) and SERVQUAL dimensions. A total of 200 individuals completed a 67-question online questionnaire. AHP was utilized to determine which bus providers need to be improved the most. Then, the SERVQUAL approach was used. The five dimensions were linked with the use of new technologies, including the COVID-19 protocol, service quality, and customer satisfaction as latent variables in structural equation modeling. The AHP results indicated that safety accounts for the most significant weight for bus passengers. Moreover, service quality, responsiveness, reliability, empathy, and COVID-19 protocol significantly enhance service and customer satisfaction. The findings of this research study can now serve as a service quality assessment and guidelines to provide a sustainable public bus transportation; it can also help determine the significant and insignificant factors in enhancing the service quality and improving the customer satisfaction of bus providers worldwide.

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“…Many researchers suggested changes in the algorithms to develop the generic DRASTIC model, and new DRASTIC-based models were introduced [31][32][33][34][35][36][37][38][39]. Many studies have been published using the analytical hierarchy process (AHP) [40,41], fuzzy analytical hierarchy process (FAHP) [42,43], evidential belief function (EBF) [44], and logistic regression (LR) [45]. All these methods have been applied to adjust the rate and weight of the criteria and subcriteria in the DRASTIC-based models depending on local hydrogeological conditions.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Groundwater Vulnerability in the Upper Kelkit Valley (Northeastern Turkey) Using DRASTIC and AHP-DRASTICLu Models

Yıldırım

2023

IJGI

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This study aimed to investigate groundwater vulnerability to pollution in the Upper Kelkit Valley (NE Turkey). For this purpose, vulnerability index maps were created using the generic DRASTIC and AHP-DRASTICLu models. The latter model was suggested by adding a parameter to the DRASTIC model and weighting its parameters with the analytical hierarchy process with the GIS technique. The results showed that areas with high and very high vulnerabilities are concentrated around the Kelkit Stream, which flows from east to west in the central part of the study area. In contrast, areas with low and very low vulnerability classes are located in the northern and southern parts of the study area. To validate the model results, a physicochemical characterization of groundwater samples and their corresponding vulnerability index values were statistically compared using the Spearman correlation method. In addition, the single-parameter sensitivity method was applied to analyze the models’ sensitivities. Results revealed a stronger correlation between the vulnerability index values of the AHP-DRASTICLu model (compared to the DRASTIC model) in terms of sulfate (R2 = 0.75) and chloride (R2 = 0.76), while there was a slightly weaker correlation for the electrical conductivity (R2 = 0.65) values of the groundwater samples. Sensitivity analysis indicated that the vadose zone, aquifer media, and land use are the most influential parameters responsible for the highest variation in the vulnerability index. Generally speaking, the results indicated that the AHP-DRASTICLu model performs better than the DRASTIC model for investigating groundwater vulnerability to pollution in the Upper Kelkit Valley.

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Assessment of groundwater vulnerability in highly industrialized Noyyal basin using AHP-DRASTIC and Geographic Information System

Cited by 7 publications

References 39 publications

Sistem Pendukung Keputusan Pemilihan Lahan Penanaman Sirih Menggunakan Metode Analytical Hirarchy Process (AHP)

Sistem Pendukung Keputusan Pemilihan Lahan Penanaman Sirih Menggunakan Metode Analytical Hirarchy Process (AHP)

Determining Factors Affecting Perceived Customer Satisfaction on Public Utility Bus System in Occidental Mindoro, Philippines: A Case Study on Service Quality Assessment during Major Disruptions

Evaluation of Groundwater Vulnerability in the Upper Kelkit Valley (Northeastern Turkey) Using DRASTIC and AHP-DRASTICLu Models

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