Application of Teachers Giving Reward Analysis Using Fuzzy Relation Method

2023-02-28T09:44:12+07:00

Analysis of rewards gift with fuzzy relations aims to determine teachers who deserve accept rewards based on teacher performance assessments. Fuzzy relations are used to determine the level of relationship or relations between criteria with rating weights that have been determined objectively. The aspects assessed include 4 criteria, that is pedagogic, personality, professionalism, and social relations. Each criterion has a different number of sub-criteria. Overall there are 26 sub-criteria and 45 teachers from 6 elementary schools are assessed.The results of the performance assessment of 45 teachers with fuzzy relations and weighting criteria obtained one teacher data that has the highest performance value among other teachers. So that the value obtained is used as a decision support to determine which teacher is entitled and deserves a reward.

Klasifikasi Nilai Pengurus Teladan Pondok Pesantren Nurul Jadid Menggunakan Metode K-Nearest Neighbor (KNN)

2024-03-29T13:54:04+07:00

In determining exemplary administrators, there are several assessment criteria that have been designed by looking at all the tasks and programs carried out. This is done to encourage administrators to be more enthusiastic in their service at Islamic boarding schools. Apart from that, this program is also an evaluation for management who need to follow up on their negligence in all duties and responsibilities. From the research carried out, there is a problem, namely in determining exemplary administrators, currently at the Nurul Jadid Islamic Boarding School it is only based on observations of regional heads and regional heads, and does not pay attention to assessment criteria and indicators in the form of professionalism, personality and social issues. Therefore, a decision support system implemented in web form is very necessary to solve the problems that occur. The programming language used is PHP (Hypertext Preprocessor) using the CodeIgniter framework. The hope is that the resulting website can help regional and regional heads make the right decisions for exemplary organizers. K-Nearest Neighbor (KNN) is the method used for classification in this research. The KNN algorithm uses the k value to determine the number of nearest neighbors whose status will be calculated. The data used is 348 lines of management assessment data for 2021-2023. Optimizing the k value using k-fold cross validation produces the highest level of accuracy, namely 97.70% with a value of k = 4 and training data of 75% of the total previous assessment data.

SMARTICS Journal

Application of Teachers Giving Reward Analysis Using Fuzzy Relation Method

Klasifikasi Nilai Pengurus Teladan Pondok Pesantren Nurul Jadid Menggunakan Metode K-Nearest Neighbor (KNN)