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All Journal JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC)
Desty Rahma Fadilla
Universitas Nasional, Jakarta
Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Pengenalan Bendera Negara Dengan Fisher Yates- Shuffle Pada Game Edukasi Android Menggunakan Metode GDLC Desty Rahma Fadilla; Fauziah Fauziah; Rima Tamara Aldisa
Journal of Information System Research (JOSH) Vol 4 No 4 (2023): Juli 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i4.3754

Abstract

This research aims to address the negative impact of less educational games by creating an interactive educational game for Android that combines learning about national flags and memorizing flag images, thus enhancing logical thinking skills in children. It is developed using the Flutter framework as the development platform and follows the GDLC method, with alpha testing conducted using the blackbox method. The Fisher-Yates Shuffle algorithm is implemented for shuffling the flag images and the order of elements in the card list. The testing method involves using the Debug Console in Visual Studio Code to verify the success of the shuffling process. The conducted testing, performed six times, demonstrates the algorithm's success in shuffling the card order for each level. In the easy level, the randomized order is 6, 10, 8, 5, 3, 4, 11, 2, 7, 1, 12, 9. In the normal level, the randomized order is 6, 11, 20, 16, 1, 13, 19, 17, 9, 2, 15, 4, 10, 12, 14, 8, 5, 7, 2, 18. In the hard level, the randomized order is 2, 14, 1, 21, 7, 18, 24, 22, 10, 23, 6, 11, 15, 9, 17, 4, 8, 3, 5, 13, 16, 12, 19, 20. The Fisher-Yates Shuffle algorithm successfully generates diverse shuffling of flag images and avoids repeating the random order of cards each time the game starts. Thus, this game can provide stimulation to the brain and encourage children to effectively enhance their object memory skills.
Analisis Perbandingan Metode MOORA dan MOOSRA dalam Seleksi Siswa Unggulan Desty Rahma Fadilla; Rima Tamara Aldisa
Journal of Computer System and Informatics (JoSYC) Vol 4 No 4 (2023): August 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i4.4048

Abstract

Educational strategies in the current era really need to be developed so that the advantages that each student has can be made into superior achievements. The selection of superior student selection is very important in the education strategy with the aim of getting superior seeds that will be fostered so that they achieve even more and increase the motivation of each student. At present, most schools carry out the selection of superior students manually by taking the value of each student's report card. Selection with a large number of students sometimes makes it difficult for teachers or the school to choose who has the right to be a superior student. The results of the assessment or consideration of each teacher tend to be subjective. So that there are often misunderstandings in making the final decision in determining who is entitled to be a superior student. Therefore, a decision support system is needed that aims to make it easier to select superior students whose results will be effective. In solving the problem of selecting superior students, the author uses the MOORA method and the MOOSRA method. The results of the study prove that the comparison between the MOORA and MOOSRA methods has the same results, where the MOORA method has the highest yield in alternative 3 with a result of 0.2997 and in alternative 3 MOOSRA method with a result of 13.1548.
Co-Authors Fauziah Fauziah Rima Tamara Aldisa