Decision Support System for Islamic Couple Selection Using Fuzzy-AHP and WSM Method Based Web

Findawati, Yulian; Qomariyah, Nadifatul; Fitroni, A S; Abdullah, Dahlan

doi:10.1051/matecconf/201819715009

Cited by 8 publications

(3 citation statements)

References 7 publications

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“…[7] The monitoring of the soil, plants, and environment (including temperature and humidity), transportation, supply chain management, infrastructure management, control system management, animal monitoring, and pest control are just a few of the many duties required for agricultural production. MCDM methods [24]- [27] coupled with fuzzy theories [21]- [23] a practical instrument that is reliable for producing outcomes across several decision domains. Especially when dealing with complex issues, the decision-making process Specific requirements must be followed.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a WSM system for a smart system in agricultural systems

2024

bmes

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On the earth, there will likely be over 9 billion people, and food demand will rise by 50%. In addition, a 10% decrease in agricultural productivity may result from climate change. Because arable land is stable, multi-layered farms are a feasible approach to produce additional food from small regions. Utilizing intelligent technologies to boost production in these farms that mimic factories makes sense. Smart farming (SF) is the application of information and communication technology on equipment; it includes sensors and equipment used in agricultural production systems. Internet of things and cloud computing are recent innovations. This, together with the use of robots and artificial intelligence in agriculture, ought to spur growth. Wheat, barley, fruits, vegetables, and fodder are the most widely consumed agricultural goods. Agriculture's socioeconomic viability is weather-dependent. By choosing the right crops, a farmer can increase productivity and do it at a lower cost. based on the cost and natural resources available A multi-criteria decision-making model (MCDM) can be used to sort crop options, promote sustainable agriculture practises, and identify the optimal crop for the situation. When evaluating the quantity of food produced in a season, a vertical farm's indoor hectare can provide the same yield as 30 hectares of land using 70% less water and no pesticides. One of the key factors impacting the evolution of SF among the numerous systems available was demonstrated to be cohesion. Additional limitations include the education, skills, and ability of farmers to understand and operate SF instruments. Businesses were able to research and address these problems because to these limits, and science can help. India's use of basic for sustainable farming methods The model's development is the main focus of the study. Using MCDM methods, the best crop was identified, followed by soybean, apple, rice, corn, and cucumber. Fruits also become a crop with a high yield. Such a method is applicable to other places and can be expanded to include different crops for sustainable agricultural operations. The Ministry of Environment and Agriculture in India expects help from the study to build an acceptable agricultural policy. Soybean is in 1st rank and Rice is last rank.

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Section: Introductionmentioning

confidence: 99%

Evaluation of a WSM system for a smart system in agricultural systems

2024

bmes

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“…According to Aruldoss (2013);T et al (2015), AHP systematically divides a challenging MCDM problem into steps. According to Findawati et al (2018), the Fuzzy-AHP method is an advanced analytical approach from the AHP and is an effective tool for dealing with ambiguity in data when choosing between various decision variables. Many decision-making issues can be solved using this method.…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing the Selection of Halal Products Using Fuzzy Analytic Hierarchy Process (AHP)

Shahidan¹,

Nor²,

Aziz³

et al. 2023

IJARBSS

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Researchers and academics are interested in this study because it aims to understand the factors and sub-factors that affect the selection of Halal products. The researcher was unaware of any prior research or studies conducted to ascertain how much consumers consider the factors and sub-factors influencing their decision to purchase Halal products and how consumers rate those variables. This paper aims to identify and rank the top factors and sub-factors that affect consumers' decisions to select Halal products in Perlis. Through the use of questionnaires, the information of three experts from Jabatan Agama Islam Perlis was gathered. This data was initially analysed using the Fuzzy analytical hierarchy process. The results, which were analyzed based on value after normalization, indicated that product awareness is the best factor and ranked first, while its sub-factor, which ranked first is religious responsibility towards the product, directly influences the choice of Halal products among the Perlis community. In light of the importance of Halal products, the researcher expects that this study will help the public consumer, product manufacturer, seller, other researchers, and shop owners by raising awareness about the importance of Halal products. This research is essential to promote community development globally in order to achieve the Sustainable Development Goals (SDGs), as well as to educate Malaysians and Muslims to search and choose the Halal products as a matter of religious obligation.

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“…Lippmann [14] coupled location-orientation issues and discussed the factors that contribute to successful supply chains that are environmentally conscious. In Procurement, Industrial Ecology, and Industrial Ecosystems There is an abundance of literature on areas related to environmental issues [15][16][17][18]. The scope and perspective of earlier studies and reviews are constrained.…”

Section: Introductionmentioning

confidence: 99%

Reverse Logistics System Flexible Decision Modeling: A Value Added WSM method Approach to Alternative Selection

2020

rmc

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Inverse manufacturing is always the best substitute for collection centers any method for recovering products should take this into account strategically. These results are typically described as being multidimensional, transdisciplinary, complex, and unstructured. Installation of reverse logistics systems properly, due to reuse or reproduction of certain parts not surprisingly, as a result, operations expenses are reduced and consumer loyalty is improved. To explore the practices of reverse logistics in this industry with a follow-up interview conducted to present the results of a survey this is the main objective of this paper. The purpose of this study is to identify the best inventory policies for a reverse logistics system with a specialized system. Demand over a given planning horizon is assumed to be a known continuous function and the rate of return on goods consumed is a given function. MCDM decision-making method provides an alternative framework for handling these. Determining decision-making strategies for reverse logistics system (RLS) problems and a great alternative choice for reprocessing. To design a decision-making model for that, considering issues including cost/time, legal considerations, influence on the environment, quality, and market a quantitative and qualitative assessment is required. Based on these criteria Performance must be considered to determine the appropriate reversal position. The manufacturing option is subject to the judgement of subject-matter authorities. The WSM approach is based on theory in this publication. A multi-criterion decision-making (MCDM) model is what we suggest. The suggested model aids in creating adaptable revenue plans that are effective and efficient based on numerous criteria. Businesses also conduct this analysis. To build new reprocessing facilities or to utilise the facility more effectively is a tool for making strategic decisions. In this paper, a multi-criteria decision-making (MCDM) model is suggested based on WSM method set theory. Alternatives include remanufacturing, reselling, repairing, cannibalising, and refurbishing; evaluation criteria include market factor (C1), quality factor (C2), legislative impact (C3), environmental impact (C4), and cost/time factor (C4). As a result the Remanufacturing is in 1st rank and Refurbishing ailast rank. Also, based on the WSM method Flexible MCDM and inverse logistics for alternative tests This paper also attempts to come up with a well-suited team decision support tool.

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Decision Support System for Islamic Couple Selection Using Fuzzy-AHP and WSM Method Based Web

Cited by 8 publications

References 7 publications

Evaluation of a WSM system for a smart system in agricultural systems

Evaluation of a WSM system for a smart system in agricultural systems

Factors Influencing the Selection of Halal Products Using Fuzzy Analytic Hierarchy Process (AHP)

Reverse Logistics System Flexible Decision Modeling: A Value Added WSM method Approach to Alternative Selection

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