Quality Function Deployment and Fuzzy TOPSIS Methods in Decision Support System for Internet Service Provider Selection

Internet Service Provider (ISP) is a company or business organization that provides access to intenet and services related for individual consumer or companies. There are many ISP in Indonesia recently, and they have almost the same product to offered. This problem makes internet service provider selection become a major issue. Decision support system can be used to recommend the best ISP company based on need. The aim of this research is to used Quality Function Deployment with Fuzzy TOPSIS sequentially to select the best ISP company as needed, and implemented in decision support system for internet service provider selection. Quality Function Deployment and Fuzzy TOPSIS methods used to evaluate, and then recommend the ISP company by ranked. Quality Function Deployment method used to find out customers requirements about internet network, the weighting of the criteria and the assessment of each ISP company. Fuzzy TOPSIS used to rank ISP company. These two methods produce consistent ratings when sensitivity analysis is performed for fuzzy and crisp value. These two methods make decision support system result can be trusted

ANALISIS PERBANDINGAN RANGKING WEBOMETRICS UNIVERSITAS TERBAIK DI INDONESIA DENGAN PERANGKINGAN METODE TOPSIS DAN VIKOR

Penelitian ini bertujuan untuk mengetahui perbandingan peringkat website akademik perguruan tinggi di Indonesia menurut Webometrics berdasarkan dengan metode Topsis dan metode Vikor. Penelitian ini menggunakan dua instrumen yaitu search engine google dan web crawler socscibot. Jenis penelitian ini adalah penelitian kuantitatif dengan obyek penelitian 30 website akademik perguruan tinggi terbaik di Indonesia sesuai dengan peringkat Webometrics. Teknik pengumpulan data dilakukan selama 90 hari dan dilakukan secara berulang-ulang. Hal ini dilakukan agar mendapatkan data yang reliabel dan valid. Data yang diperoleh kemudian dilakukan perhitungan untuk memperoleh hasil perangkingan dengan metode Topsis dan Vikor. Analisis data menggunakan uji Friedman dan Spearman guna memperoleh uji kelayakan hipotesis. Hasil penelitian menggunakan uji statistik menunjukkan bahwa hasil (1) uji Spearman perangkingan metode Topsis dengan perangkingan metode Vikor adalah signifikansi sama, terbukti dengan nilai rs hitung yang bernilai 0.7134 dimana bernilai lebih besar dari taraf signifikansi 5 % yang seharusnya 0.3063. (2) Uji Spearman perangkingan metode Webometrics dengan perangkingan metode Topsis adalah signifikan berbeda, terbukti dengan nilai rs hitung yang bernilai -0.1693 dimana bernilai kurang dari taraf signifikansi 5% yang seharusnya bernilai 0.3063. (3) Uji Spearman perangkingan metode Webometrics dengan perangkingan metode Vikor adalah signifikan berbeda, terbukti dengan nilai rs hitung yang bernilai 0.0118 dimana bernilai kurang dari taraf signifikansi 5 % yang seharusnya bernilai 0.3063. (4) Uji Friedman perangkingan menggunakan metode Topsis, Vikor dan Webometrics adalah memiliki taraf signifikansi yang sama, terbukti dari hasil perhitungan hitung bernilai 1.8 kurang dari taraf signifikansi dengan α = 5% yang seharusnya bernilai 5.991

Effects of fabric counts and weave designs on the properties of laminated woven kenaf carbon fibre reinforced epoxy hybrid composites

The effects of different fabric materials namely weave designs (plain and satin) and fabric counts (5 × 5 and 6 × 6) on the properties of laminated woven kenaf/carbon fibre reinforced epoxy hybrid composites were evaluated. The hybrid composites were fabricated from two types of fabric, i.e., woven kenaf that was made from a yarn of 500tex and carbon fibre, by using vacuum infusion technique and epoxy resin as matrix. The panels were tested for tensile, flexural, and impact strengths. The results have revealed that plain fabric is more suitable than satin fabric for obtaining high tensile and impact strengths. Using a fabric count of 5 × 5 has generated composites that are significantly higher in flexural modulus as compared to 6 × 6 which may be attributed to their structure and design. The scanned electron micrographs of the fractured surfaces of the composites demonstrated that plain woven fabric composites had better adhesion properties than satin woven fabric composites, as indicated by the presence of notably lower amount of fibre pull out

Selection of Environmentally Conscious Manufacturing’s Program Using Multi-Criteria Decision Making: A Case Study in Electronic Company

Nowadays, green purchasing, stop global warming, love the mother earth, and others that related to environment become hot issues. Manufactures industries tend to more active and responsive to those issues by adopting green strategies or program like Environmentally Conscious Manufacturing (ECM). In this article, an electronic company had applied 12 ECM Program and tries to choose one of those programs using 6 criteria, such as total cost involved, quality, recyclable material, process waste reduction, packaging waste reduction, and regulation compliance. By using multi-criteria decision making model, i.e. Analytical Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), and Modified TOPSIS methods, the ECM Program 9 (Open pit) is the best option. Keywords: Environmentally Conscious Manufacturing (ECM), Electronic Company, AHP, Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Modified TOPSI

A comparative study of multiple-criteria decision-making methods under stochastic inputs

This paper presents an application and extension of multiple-criteria decision-making (MCDM) methods to account for stochastic input variables. More in particular, a comparative study is carried out among well-known and widely-applied methods in MCDM, when applied to the reference problem of the selection of wind turbine support structures for a given deployment location. Along with data from industrial experts, six deterministic MCDM methods are studied, so as to determine the best alternative among the available options, assessed against selected criteria with a view toward assigning confidence levels to each option. Following an overview of the literature around MCDM problems, the best practice implementation of each method is presented aiming to assist stakeholders and decision-makers to support decisions in real-world applications, where many and often conflicting criteria are present within uncertain environments. The outcomes of this research highlight that more sophisticated methods, such as technique for the order of preference by similarity to the ideal solution (TOPSIS) and Preference Ranking Organization method for enrichment evaluation (PROMETHEE), better predict the optimum design alternative