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Fredricka , Jhoanne
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Computer Science & IT Electrical & Electronics Engineering

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Decision Support System for Determining Achievement Teachers Using Fuzzy-Analytical Hierarchy Process (F-AHP) (Case Study: SMP IT Khairunnas Bengkulu) Migi, Migi; Siswanto, Siswanto; Fredricka , Jhoanne
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.292

Abstract

Assessment of outstanding teachers aims to increase teacher productivity in the teaching and learning process. There are 4 criteria that are assessed, namely understanding of students, designing lesson plans, evaluating learning outcomes, and developing students. However, all of the outstanding teacher assessment processes still use Office Word and Excel applications, so it takes a long time because there is no structured database that can help store data so as to simplify the data processing process. This application is made using Visual Basic .Net programming language and SQL Server 2008r2 database, where the application has implemented one of the Decision Support System Methods, namely Fuzzy-Analytical Hierarchy Process (F-AHP). The data of outstanding teachers who were assessed were 10 people, processed into the Fuzzy-Analytical Hierarchy Process (F-AHP) method with the stages of determining the type of criteria, making alternative criteria, determining the pairwise comparison matrix, determining the comparison matrix of F-AHP criteria, determining the value of the synthesis, determine the value of vector (V) and fuzzy ordinate value (d'), calculation of weights and normalization of weight vectors, normalization results, as well as ranking and decision results. So as to produce the final score of the teacher's assessment with the highest score of 91.66. Based on calculations from assessment data that has been tested the Fuzzy-Analytical Hierarchy Process (F-AHP) method is able to provide appropriate and appropriate recommendations and can assist in the assessment of outstanding teachers at SMP IT Khairunnas Bengkulu.
Application of AHP Method in The Decision Support System for Determining the Best Early Childhood Education (PAUD) by Education Office of Bengkulu City Sari, Novita; Maryaningsih , Maryaningsih; Fredricka , Jhoanne
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.293

Abstract

Early Childhood Education (PAUD) is education to help physical and spiritual growth and development so that children have readiness to enter further education, which is held on formal, non-formal, and informal. In determining Best Early Childhood Education there are criteria from Education and Cultural Office Bengkulu City, namely there are six criteria, including Accreditation, Curriculum, Facilities, Tuition Fees, Number of Teachers, Number of Students. The research method used is the Analytical Hierarchy Process (AHP) method. AHP can assist in making decisions on complex issues by simplifying the process. This system can assist decision makers in determining the best Early Childhood Education quickly and accurately. It is hoped that later this application will be able to use this application in determining the Best Early Childhood Education at Education and Cultural Office Bengkulu City, as well as maintenance of the application that the writer has previously made so that in the future it can be used by Education and Cultural Office Bengkulu City.
Application of the Six Sigma Method in Knowing the Level of Student Satisfaction with the Learning System in Schools Ardiwan, Roni; Zulita , Leni Natalia; Fredricka , Jhoanne
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.297

Abstract

SMA Negeri 4 Bengkulu Tengah is one of the state high schools located in Bengkulu Tengah Regency, Bengkulu Province. SMA Negeri 4 Bengkulu Tengah does not yet have a system that can be used to measure the level of student satisfaction with the learning system in schools, so there is no parameter for the level of student satisfaction. This results in the school not having a benchmark in knowing and evaluating the learning system that is currently being carried out. This impact makes it difficult for schools to improve the learning system in schools. The application of the level of student satisfaction with the learning system at SMA Negeri 4 Bengkulu Tengah Regency was made using the Visual Basic programming language. Net with SQL Server 2008r2 database, where the application has been applied to the Six Sigma method in analyzing the level of student satisfaction. The application of the level of student satisfaction with the learning system at SMA Negeri 4 Bengkulu Tengah Regency is able to facilitate students in providing an assessment of student satisfaction, and also makes it easier for the school to determine the level of student satisfaction with the learning system at school. In the application of the level of student satisfaction with the learning system at SMA Negeri 4 Bengkulu Tengah Regency, there are 2 access rights granted, namely Administrator and Student. To enter the administrator's main menu page and the student's main menu, the user must first log in. Based on the blackbox testing that has been carried out, the functional application of the level of student satisfaction with the learning system at SMA Negeri 4 Bengkulu Tengah Regency can run as expected in terms of data input, analysis and print report output.
Comparison of the K-Nearest Neighbor Method and the Naive Bayes Method in Classification of Eligibility for Lending Septria, Perlius; Asnawati, Asnawati; Fredricka , Jhoanne
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.952

Abstract

The Kemala Aman Finance Bengkulu Cooperative also provides loan facilities for consumers, but not all loan applications will be approved. So far, the determination of the feasibility of applying for a loan is seen from several aspects including marital status, number of dependents, age, last education, occupation, monthly income, home ownership, collateral, number of loan applications, length of loan application. These aspects are analyzed manually by the survey team by filling out the form provided, and then the survey results are given to superiors to be followed up on whether the loan application is accepted or rejected. The loan eligibility application at the Kemala Aman Finance Bengkulu Cooperative is used to make it easier to determine the eligibility of prospective borrowers to be given loans based on marital status, number of dependents, age, last education, occupation, income, home ownership, collateral, number of loan applications, length of loan application. This application is made using the Visual Basic .Net programming language which can be accessed by the Kemala Aman Finance Bengkulu Cooperative Admin. Comparative analysis of the K-Nearest Neighbor method and the Naive Bayes method was carried out by looking at the level of accuracy by comparing the classification results of the two methods with the real data from the classification results obtained from the Kemala Aman Finance Cooperative Bengkulu. Based on the processing time, the KNN method is faster than the Naive Bayes method. Based on the level of accuracy, the KNN method has the highest level of accuracy compared to the Naive Bayes method. Based on the tests that have been carried out, the functionality of the loan eligibility application at the Kemala Aman Finance Bengkulu Cooperative runs as expected, and the application is able to display the results of the classification of loan eligibility through the KNN Method and the Naive Bayes Method.
Co-Authors Ardiwan, Roni Asnawati Asnawati Maryaningsih , Maryaningsih Migi, Migi Novita Sari S Siswanto Septria, Perlius Zulita , Leni Natalia