scholarly journals Genetic Algorithm for Teaching Distribution based on Lecturers’ Expertise

2019 ◽  
pp. 297-304
Author(s):  
Rizki Agung Pambudi ◽  
Wahyuni Lubis ◽  
Firhad Rinaldi Saputra ◽  
Hanif Prasetyo Maulidina ◽  
Vivi Nur Wijayaningrum
Keyword(s):  
Genetic Algorithm ◽  
Population Size ◽  
Mutation Rate ◽  
Learning Process ◽  
Teaching And Learning ◽  
Optimization Methods ◽  
Test Results ◽  
Optimal Parameters ◽  
Crossover Rate ◽  
Fitness Value

The teaching distribution for lecturers based on their expertise is very important in the teaching and learning process. Lecturers who teach a course that is in accordance with their interests and abilities will make it easier for them to deliver material in class. In addition, students will also be easier to accept the material presented. However, in reality, the teaching distribution is often not in accordance with the expertise of the lecturer so that the lecturers are not optimal in providing material to their students. This problem can be solved using optimization methods such as the genetic algorithm. This study offers a solution for teaching distribution that focuses on the interest of each lecturer by considering the order of priorities. The optimal parameters of the test results are crossover rate (cr) = 0.6, mutation rate (mr) = 0.4, number of generations = 40, and population size = 15. Genetic algorithm is proven to be able to produce teaching distribution solutions with a relatively high fitness value at 4903.3.

scholarly journals Optimasi Beban Mengajar Dosen Pendidikan Informatika di STKIP Bumi Persada Menggunakan Algoritme Genetika

2019 ◽  
Vol 1 ◽  
pp. 972
Author(s):  
Teuku Afriliansyah
Keyword(s):  
Genetic Algorithm ◽  
Fixed Number ◽  
Routine Activity ◽  
Test Results ◽  
Optimal Parameters ◽  
Study Program ◽  
Random Mutation ◽  
Fitness Value ◽  
Selection Test ◽  
The Cost

The cost of teaching lecturers is a routine activity conducted by all universities, especially the maintainers of departments in each faculty. This is done because the number of courses planned students are in every semester is always different and faced with a relatively fixed number of lecturers. Determining the teaching burden of lecturers must be done so that the teaching burden of lecturers does not exceed the maximum possible limit and the teaching process is done in accordance with the interest of lecturer study. Study Program of informatics Education High School and Educational Sciences Earth Persada Lhokseumawe still do the process of determining the teaching burden of the lecturer with the manual so that it takes a little time because it must adjust the infirmity Courses with a lecturer study interest. One of the methods of optimization that is able to solve the problem is genetic algorithm. The genetic algorithm process in this research includes representation with integer numbers, crossover methods with one cut point crossover, mutation methods with Reciprocalexchange mutation and random mutation, as well as selection methods with elitism Selection. Test results that have been tested show optimal parameters i.e. population size 60, combination of CR and Mr Value respectively 0.4, Sertta generation of 3576 with the largest fitness value produced is 0.082846.

The Application of Genetic Algorithm on Optimization Problem for Mayonnaise Compositions

2011 ◽  
Vol 480-481 ◽  
pp. 219-224
Author(s):  
Zhi Yang Luo ◽  
Hong Xia Zhao ◽  
Xin Yuan ◽  
Yuan Li
Keyword(s):  
Genetic Algorithm ◽  
Population Size ◽  
Mutation Rate ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Optimal Solution ◽  
Optimization Methods ◽  
Function Optimization ◽  
Solve Optimization Problem ◽  
Iteration Number

For some function optimization problems of non-linear, multi-model and multi-objective, they are difficult to solve by other optimization methods, however, genetic algorithm is easy to find good results, so a kind of optimization problem for mayonnaise compositions based on genetic algorithm is introduced. This termination condition is selected according to the iteration number of maximum generation, the optimal solution of last generation in the evolution is the final result with genetic algorithm to solve optimization problem. The population size is 20, crossover rate is 0.7, and mutation rate is 0.04. Via the evolution of 100 generations, the optimization solution is gotten, which has certain guiding significance for the production.

scholarly journals Sistem Informasi Monitoring Proses Pembelajaran di STMIK STIKOM Indonesia

2019 ◽  
Vol 2 (1) ◽  
pp. 135-144
Author(s):  
I Putu Adi Pratama ◽  
Anak Agung Gede Bagus Ariana
Keyword(s):  
Monitoring System ◽  
Learning Process ◽  
Teaching And Learning ◽  
Monitoring And Evaluation ◽  
Learning Objectives ◽  
Learning Activity ◽  
Teaching Staff ◽  
Test Results ◽  
Web Based ◽  
Program Unit

The Lecture Program Unit (SAP) consists of determining learning objectives, the material to be discussed, how to present it, supporting media and learning resources that can be used. At the end of each teaching and learning activity, for the purposes of monitoring and evaluation, teaching staff are required to write SAP realization in a teaching journal. At STMIK STIKOM Indonesia, the process of writing this teaching journal is done manually. The lecturer filled out the material given in class in a teaching journal. The process is done manually resulting in the process of monitoring and evaluation can not be done regularly. In this research, a Web-based monitoring system for teaching and learning process was developed in STMIK STIKOM Indonesia. From the test results obtained, the system built can facilitate lecturer coordinator lecturers to monitor the course of the teaching and learning process. In addition, the system built can also facilitate lecturer coordinator lecturers in conducting the recapitulation process of the suitability of SAP with the realization of SAP written by lecturers supporting courses

Optimization of Ship’s Route Scheduling Using Genetic Algorithm

2016 ◽  
Vol 2 (1) ◽  
pp. 180 ◽  
Author(s):  
Vivi Nur Wijayaningrum ◽  
Wayan Firdaus Mahmudy
Keyword(s):  
Genetic Algorithm ◽  
Mutation Rate ◽  
Computational Experiment ◽  
Optimal Parameters ◽  
Ship Scheduling ◽  
Complicated Process ◽  
Ship Route ◽  
Hard Problems ◽  
Route Scheduling ◽  
Np Hard Problems

<span lang="EN-US">Route scheduling is a quite complicated process because it involves some determinant factors. Several methods have been used to help resolve the NP-hard problems. This research uses genetic algorithm to assist in optimizing ship scheduling, that where there are several ports to be visited by some ships. The goal is to divide the ship to go to a specific port so that each port is only visited by one ship to minimize the total distance of all ships. The computational experiment produces optimal parameters such as the number of popsize is 30, the number of generations is 100, crossover rate value is 0.3 and mutation rate values is 0.7. The final results is an optimal ship route by minimizing the distance of each ship.</span>

scholarly journals Optimization of Airport Shuttle Bus Routes Based on Travel Time Reliability

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Danwen Bao ◽  
Jiayu Gu ◽  
Zhiwei Di ◽  
Tianxuan Zhang
Keyword(s):  
Genetic Algorithm ◽  
Travel Time ◽  
Mutation Rate ◽  
Hybrid Genetic Algorithm ◽  
Estimation Method ◽  
Hill Climbing ◽  
Optimization Process ◽  
Travel Time Reliability ◽  
Hill Climbing Algorithm ◽  
Crossover Rate

An optimization model of airport shuttle bus routes is constructed by taking operational reliability maximization as a main goal in this paper. Also, a hybrid genetic algorithm is designed to solve this problem. Then the theoretical method is applied to the case of Nanjing Lukou International Airport. During the research, a travel time reliability estimation method is proposed based on back propagation (BP) neural network. Absolute error and regression fitting methods are used to test the measurement results. It is proved that this method has higher accuracy and is applicable to calculate airport bus routes reliability. In algorithm design, the hill-climbing algorithm with strong local search ability is integrated into genetic algorithm. Initial solution is determined by hill-climbing algorithm so as to avoid the search process falling into a local optimal solution, which makes the accuracy of calculation result improved. However, the calculation results show that the optimization process of hybrid genetic algorithm is greatly affected by both the crossover rate and mutation rate. A higher mutation rate or lower crossover rate will decrease the stability of the optimization process. Multiple trials are required to determine the optimal crossover rate and mutation rate. The proposed method provides a scientific basis for optimizing the airport bus routes and improving the efficiency of airport’s external transportation services.

scholarly journals Improving Cloud Data Encryption Using Customized Genetic Algorithm

2020 ◽  
Vol 12 (6) ◽  
pp. 46-63
Author(s):  
Muhammad Junaid Arshad ◽  
◽  
Muhammad Umair ◽  
Saima Munawar ◽  
Nasir Naveed ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Population Size ◽  
Mutation Rate ◽  
Data Privacy ◽  
Data Encryption ◽  
Local Information ◽  
Sensitive Information ◽  
Secret Key ◽  
Security Breaches ◽  
Size Number

Data Encryption is widely utilized for ensuring data privacy, integrity, and confidentiality. Nowadays, a large volume of data is uploaded to the cloud, which increases its vulnerability and adds to security breaches. These security breaches include circumstances where sensitive information is being exposed to third parties or any access to sensitive information by unauthorized personnel. The objective of this research is to propose a method for improving encryption by customizing the genetic algorithm (GA) with added steps of encryption. These added steps of encryption include the data being processed with local information (chromosome's value calculated with computer-generated random bits without human intervention). The improvement in the randomness of the key generated is based on altering the population size, number of generations, and mutation rate. The first step of encrypting is to convert sample data into binary form. Once the encryption process is complete, this binary result is converted back to get the encrypted data or cipher-text. Foremost, the GA operators (population size, number of generations, and mutation rate) are changed to determine the optimal values of each operator to bring forth a random key in the minimum possible time, then local intelligence is headed in the algorithm to further improve the outcomes. Local Intelligence consists of local information and a random bit generated in each iteration. Local Information is the current value of a parent in each iteration at the gene level. Both local information and random bit are then applied in a mathematical pattern to generate a randomized key. The local intelligence-based algorithm can operate better in terms of time with the same degree of randomness that is generated with the conventional GA technique. The result showed that the proposed method is at least 80% more efficient in terms of time while generating the secret key with the same randomness level as generated by a conventional GA. Therefore, when large data are intended to be encrypted, then using local intelligence can demonstrate to be better utilized time.

scholarly journals Assessment for Learning: Changes in the Role of Assessment in Learning

2021 ◽  
Vol 2 (5) ◽  
pp. 580-589
Author(s):  
Tatang Mulyana ◽  
Surti Kurniasih ◽  
Didit Ardianto
Keyword(s):  
Learning Process ◽  
Teaching And Learning ◽  
Science Learning ◽  
Assessment For Learning ◽  
Literacy Skills ◽  
Learning Goals ◽  
Test Results ◽  
Using Data ◽  
Use Of Assessment

The purpose of this research is to describe the state of assessment for learning (AfL) in science learning. The research was conducted in February 2021. This research was conducted with a descriptive method using data collection techniques, namely a survey via google form. Before the instrument is used, calibration and testing are carried out and the test results of all items are declared valid and reliable. The results showed that the teacher agreed to the use of Assessment for Learning (AfL) in science learning, which could activate the learning process and accelerate the achievement of goals. In addition to the use of Assessment for Learning (AfL) in science learning, teachers also answered effectively in developing students' literacy skills according to subject coverage. Assesment for Learning (AfL) provides an overview of how students learn and achieve learning goals effectively that can be reported to students' parents. The obstacle in implementing assessment for learning (AfL) is that teachers still find it difficult to compile and develop assessment-based learning designs that are in accordance with process standards, so that most of these teachers adopt learning designs that are already available from various sources, so that the role of assessment is not yet a an integral part of the teaching and learning process.

scholarly journals PENGEMBANGAN BUKU SISWA BERTEMA CUACA MENGGUNAKAN METODE FOUR STEPS TEACHING MATERIAL DEVELOPMENT

2020 ◽  
Vol 8 (2) ◽  
pp. 190
Author(s):  
Nur Inayah Syar ◽  
Nadya Meriza
Keyword(s):  
Research And Development ◽  
Learning Process ◽  
Research Method ◽  
Teaching And Learning ◽  
Teaching Material ◽  
Test Results ◽  
Material Development ◽  
Environment Temperature ◽  
Basic Competencies ◽  
Feasibility Test

The teaching and learning process is built on three interaction aspects such as the interaction among the teachers, students, and learning sources. To ease this process, the teacher can make their own teaching material that will be used in learning process. This research aims to develop weather theme students’ book by using Four Steps Teaching Material Development (4STMD) method. The research method used was Research and Development (R&D). This students’ book consists of 5 sub-themes such as substance characteristics, interaction of organisms and their environment, temperature and heat, pollution and global warming. This book was developed by using 4STMD method through four stages such as selection, structurization, characterization, and didactic reduction. The feasibility test results show that the student book has complete material based on basic competencies and indicators, has accurate, actual and integrated material. Besides the student’s book that was developed also has aspects of legibility, language rules and language logic that is appropriate, presented attractively and has a layout and design that is feasible to be used. Overall the students’ perception on the usage and result of this students’ book development is positive. ABSTRAKProses belajar mengajar dibangun oleh tiga aspek interaksi. Interaksi tersebut adalah interaksi antara pendidik, peserta didik dan sumber belajar. Untuk memudahkan proses tersebut, guru dapat membuat sendiri bahan ajar (buku) yang akan digunakan dalam proses belajar mengajar. Penelitian ini bertujuan untuk mengembangkan buku siswa bertema Cuaca  dengan metode Four Steps Teaching Material Development (4STMD) dan menganalisis kelayakan serta persepsi siswa terhadap buku siswa yang dihasilkan. Metode penelitian yang digunakan adalah Research and Development (R&D). Buku siswa ini terbagi atas 5 sub tema yaitu karakteristik zat, interaksi makhluk hidup dengan lingkungannya, suhu dan kalor, pencemaran dan pemanasan global. Buku ini dikembangkan dengan metode 4STMD melalui empat tahap, yaitu seleksi, strukturisasi, karakterisasi dan reduksi didaktik. Hasil Uji Kelayakan menggambarkan bahwa buku siswa memiliki cakupan materi yang lengkap berdasarkan Kompetensi Dasar dan indikator, memiliki materi akurat, mutakhir serta terpadu. Selain itu buku dikembangkan juga memiliki aspek keterbacaan, kaidah bahasa dan logika bahasa yang baik, disajikan dengan menarik dan memiliki tata letak serta desain yang layak digunakan. Adapun persepsi siswa terhadap penggunaan dan hasil pengembangan buku siswa, secara keseluruhan bernilai positif.

scholarly journals Implementation of Evolution Strategies (ES) Algorithm to Optimization Lovebird Feed Composition

2017 ◽  
Vol 4 (1) ◽  
pp. 51-56
Author(s):  
Agung Mustika Rizki ◽  
Wayan Firdaus Mahmudy ◽  
Gusti Eka Yuliastuti
Keyword(s):  
Population Size ◽  
Evolution Strategies ◽  
Test Results ◽  
Feed Composition ◽  
Fitness Value ◽  
Cultivation Process ◽  
The Cost

Lovebird current society, especially popular among bird lovers. Some people began to try to develop the cultivation of these birds. In the cultivation process to consider the composition of feed to produce a quality bird. Determining the feed is not easy because it must consider the cost and need for vitamin Lovebird. This problem can be solved by the algorithm Evolution Strategies (ES). Based on test results obtained optimal fitness value of 0.3125 using a population size of 100 and optimal fitness value of 0.3267 in the generation of 1400.

scholarly journals PENGARUH LMS SCHOOLOGY TERHADAP PENINGKATAN HASIL BELAJAR PESERTA MATA DIKLAT MATERI PENGEMBANGAN PROFESI PENGAWAS

2020 ◽  
Vol 4 (1) ◽  
pp. 53-63
Author(s):  
Wida Wido Yanto
Keyword(s):  
Regression Analysis ◽  
Learning Outcomes ◽  
Learning Process ◽  
Teaching And Learning ◽  
Empirical Test ◽  
Problem Formulation ◽  
Positive Influence ◽  
P Value ◽  
Vocational Development ◽  
Test Results

This research was based on the teaching and learning process now in the world of education which most of it still tends to be done conventionally. In the future, information and communication technology has an important role in learning, namely as learning content or learning media. The purpose of this study is to describe the ifluence of LMS Schoology on improving the learning outcomes of Training participants at the Supervisor Vocational Development Material PKP V Surabaya Religious Training Center 2020. Problem formulation: Is there any significant and positive influence on the use of LMS Schoology on Improving the learning outcomes of Training participants at the Supervisor Vocational Development Material? This research was conducted using a pre-experimental one group pretest-postets research method with regression analysis. Regression analysis was used to find out how much influence the independent variable had on the increase in the dependent variable. The results showed that after the teaching and learning process carried out with the LMS Schoology application the learning outcomes of the training participants increased. Empirical test results indicated the magnitude of the percentage of influence of the independent variables on the dependent variable of 77.4%. T test results showed the t value of 11.333 and p-value (Sig) of 0.000 which is below alpha 5%.  was rejected, meaning that there was a significant and positive influence between LMS Schoology on improving the learning outcomes of training participants.

Sign in / Sign up

Export Citation Format

Share Document