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Aplikasi Fuzzy Mamdani Untuk Menentukan Tingkat Keberhasilan Dosen Alwendi; Andi Saputra Mandopa
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 2 No. 2 (2023): July-December
Publisher : Gayaku Publisher

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Abstract

The aim of this research is to apply Fuzzy logic with the Mamdani method in assessing the Research Performance of Graha Nusantara Padangsidimpuan University Lecturers. This research was designed using Fuzzy Logic with the Mamdani method. One of the research topics that uses the application of fuzzy logic is assessment systems in the field of research. Research by Graha Nusantara University Padangsidimpuan Lecturers in the Simlitabmas Data is still in the Guidance Category to move up to the Intermediate Category. UGN Padangsidimpuan Lecturers are challenged to be able to develop, dedicate and apply the knowledge needed in research. For this reason, an application is needed that can be used to calculate and record lecturer performance in the resulting research. The aim of this research is to apply fuzzy logic using the Mamdani method in assessing the research performance of Graha Nusantara Padangsidimpuan University lecturers.
Sistem Pendukung Keputusan untuk Menentukan Mahasiswa Terbaik Menggunakan Metode Complex Proportional Assessment alwendi; Lela Budiarti; Andi Saputra Mandopa
SMART : Jurnal Teknologi Informasi dan Komputer Vol. 3 No. 2 (2024): July - December
Publisher : Gayaku Publisher

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Abstract

The aim of this research is to assist the head of the study program in determining the best students each semester. The decision support system is part of a computer-based information system that is used to support decision making in an agency or company. Decision support systems are built to make it easier for someone to make decisions. The system can make a decision according to the considerations that are the criteria in this research, including skills, character, language skills, age, place of residence. The COPRAS method or Combination of Ratio Assessment is a multi-criteria decision analysis method used to overcome complexity and uncertainty in decision making. This method utilizes a ratio approach to evaluate the alternatives involved in a decision. This research aims to obtain ranking results of outstanding students quickly and objectively without requiring a lot of effort. The results of this ranking will help Graha Nusantara Padangsidimpuan University, especially the Faculty of Engineering, Computer Science Study Program, in selecting outstanding students. From the conclusion above, the student selected to be in first place is A3 in the name of indah putri with a score of 99.972 in first place.
Aplikasi Data Mining Untuk Menentukan Masa Studi Mahasiswa Menggunakan Metode Association Rule alwendi, alwendi; Andi Saputra Mandopa
Jurnal Pendidikan Dewantara Vol. 2 No. 1 (2023): October
Publisher : Yayasan Pendidikan Internasional Bengkulu

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Abstract

The development of data mining cannot be separated from technological developments, especially in determining association rules to determine the relationship between elements/attributes in the process of students receiving information at any point in time. When it comes to permissions, there are many factors that influence permissions. However, not all of these factors are considered important so research is carried out to determine the relationship between these factors. The topic research method is data collection and data analysis. By using the Association Rule technique we can obtain information from large data such as data from universities. The aim of this research is to determine the pattern of study duration for Graha Nusantara University F-KIP students. using the Association Rule Data Mining method and comparing a priori algorithms and hash-based algorithms. The data used is Graha Nusantara University F-KIP master data which is processed using the Association Rule Data Mining technique with an a priori algorithm and a hash-based algorithm with a minimum support of 1% and a minimum confidence of 1%. The results of data processing with the a priori algorithm are the same as the results of data processing with the hash-based algorithm, namely 49 2-itemset combinations.