scholarly journals Perancangan Aplikasi Perangkingan Perguruan Tinggi Menggunakan Fuzzy Simple Additive Weighting (SAW) (Studi Kasus: 25 PT Wilayah Kopertis XIII Provinsi Aceh)

2018 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Rizaldi Akbar
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
First Order ◽  
College Ranking ◽  
Aceh Province ◽  
Fuzzy Madm ◽  
Speed Up ◽  
Multi Attribute Decision Making ◽  
Simple Additive Weighting ◽  
Support Decision Making

a b s t r a c t This research aims to make a ranking College in Aceh and its applications processing data.The College in question is 25 (twenty five) in the region XIII Kopertis Aceh province using Simple Additive Weighting (SAW) is one method that can be used to solve the problem of Fuzzy MADM. Application of decision support system (DSS) this can take account of all criteria that support decision making in order to help speed up and facilitate the decision-making process and do the rangking in particular. Based on the results of the study it can be concluded then the Fuzzy method of Multi Attribute Decision Making (FMADM) and Simple Additive Weighting (SAW) can provide information ranking College, where the final results will be calculated the value of preferences (Vi) the highest of each alternative.The highest value was made the first priority as the best college. The end result of the application of the method of College ranking in the form of the SAW with the first order at Serambi Mekkah of University with the value of 0.89 and a low of STMIK Abulyatama value of 0.38. a b s t r a k Penelitian ini bertujuan untuk membuat sebuah perangkingan perguruan tinggi di Aceh beserta aplikasi pengolahan datanya. Perguruan tinggi yang dimaksudkan adalah 25 (dua puluh lima) PTS di Wilayah Kopertis Wilayah XIII Provinsi Aceh dengan menggunakan Metode Simple Additive Weighting (SAW) merupakan salah satu metode yang dapat digunakan untuk menyelesaikan masalah Fuzzy MADM. Aplikasi Sistem Pendukung Keputusan (SPK) ini dapat memperhitungkan segala kriteria yang mendukung pengambilan keputusan guna membantu mempercepat dan mempermudah proses pengambilan keputusan dan melakukan perangkingan khususnya. Berdasarkan hasil penelitian maka dapat disimpulkan Metode Fuzzy Multi Attribute Decision Making (FMADM) dan Simple Additive Weighting (SAW) dapat memberikan informasi perangkingan perguruan tinggi, dimana hasil akhir akan dihitung nilai preferensi (Vi) tertinggi dari masing-masing alternatif. Nilai tertinggi dijadikan prioritas pertama sebagai perguruan tinggi terbaik. Hasil akhir dari penerapan metode SAW berupa perangkingan perguruan tinggi dengan urutan pertama pada Universitas Serambi Mekkah dengan nilai 0.89 dan terendah STMIK Abulyatama dengan nilai 0.38.

scholarly journals The Role of ERP Information to Support Decision Making Process: Field Study on Panda Retail Company (Mobile Inventory Management System)

2020 ◽  
Vol 14 (16) ◽  
pp. 133
Author(s):  
Ahmed M. Alghazali ◽  
Uthman M. Ageeli
Keyword(s):  
Decision Making ◽  
Inventory Management ◽  
Management System ◽  
Critical Role ◽  
Theoretical Data ◽  
Decision Making Process ◽  
Inventory Management System ◽  
Retail Company ◽  
Support Decision Making

The ERP is the main source of business data while store mobile inventory management is one of very important modules in ERP that cover a critical role for retail organizations such as Panda retail company. The goal of this study is to show the high correlation between information and effective decision-making process. Descriptive analysis research method was used in this study where theoretical data collected from published papers, in Jeddah city (60) employees of mobile inventory management system users participated the survey and statistical techniques such as frequency tables, Percentages, Average value, standard deviation, etc. This used survey consists of 3 companies namely the effectiveness of information to support decision making, the effectiveness of store mobile inventory management at Panda retail company, the effectiveness of ERP for organizations. The key results of this study clarifies that it’s very important to have as much as possible data and the relationships between data at any point of time to identify problems, analyze them in order to make the most effective decisions and role of ERP in providing such information at any point of time. Recommendations had been provided such as the importunacy of ERP, modern business applications, and technology to improve business outcomes and provide continues learning and development culture for employees to increase their competencies to use these digital tools.

scholarly journals Perancangan Website untuk Menentukan Produk Paling Banyak Terjual di Bengkel Man Motor Metode TOPSIS

2020 ◽  
Vol 11 (2) ◽  
pp. 125-129
Author(s):  
Vienne Anggelica Kurnia ◽  
Aldo Erianda ◽  
Dwiny Meidelfi
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Programming Language ◽  
Support System ◽  
Decision Making Process ◽  
Server Side ◽  
Support Decision Making

Decision support system, or DSS, is a system to support decision making process. One commonly used method is TOPSIS. It is a method for decision making on multi-criteria issues, and is one of the simplest and easiest to understand. One of the functions of TOPSIS is to determine the most sold products. It requires a programming language called PHP to implement it on Website. PHP is a server-side programming language, so, all processes are conducted on server, then given to customers. Further, it requires a database for storing the data and software to manage the database is MySQL.

scholarly journals Architecture for Decision Support in Precision Livestock Farming

2021 ◽  
Author(s):  
Jonas S. Gomes ◽  
José Maria N. David ◽  
Regina Braga ◽  
Victor Ströele ◽  
Wagner Arbex ◽  
...  
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Contextual Information ◽  
Heterogeneous Data ◽  
Decision Making Process ◽  
Livestock Farming ◽  
Precision Livestock Farming ◽  
Livestock Farms ◽  
Integrate Data ◽  
Support Decision Making

The use of sensors in the agricultural domain generates a massive volume of heterogeneous data that must be treated, stored, and processed for decision-making. These decisions must be taken considering the diversity of devices and contextual information, which is often not considered but is important to the decision-making process. This paper presents an architecture to integrate data from sensors related to precision livestock farms. The integration and processing of these data can support decision-making, lead to more accurate results and enhance agribusiness sustainability.

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