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All Journal Journal of Informatics Management and Information Technology Jurnal Inovasi Artificial Intelligence & Komputasional Nusantara
Yumni Syabrina Agustina Lubis
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Computer Science & IT Education Mathematics

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Fuzzy Mamdani Menentukan Siswa Teladan Pada Sekolah Madrasah Aliyah Swasta Islam Tanah Jawa Yumni Syabrina Agustina Lubis; Laila Kumalasari; Fikri Wicaksono; Sundari Retno Andani
Jurnal Inovasi Artificial Intelligence & Komputasional Nusantara Vol. 1 No. 1 (2024): Volume 1 No 1 Tahun 2024
Publisher : PT Siantar Codes Academy Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.260396/y9sqpz94

Abstract

Menentukan siswa teladan merupakan salah satu kegiatan pentingdisekolah untuk mengevaluasi prestasi dan perilaku baik siswa. Namunmenentukan siswa teladan sering kali melibatkan kriteria dan penilaianyang subjektif dan kompleks. Penelitian ini bertujuan untukmengembangkan sistem pendukung keputusan berbasis logika fuzzymamdani, yang membantu menentukan siswa teladan secara lebih objektifdan terukur. Metode fuzzy mamdani digunakan untuk memodelkanpengambilan keputusan dengan mempertimbangkan beberapa kriteriaevaluasi seperti absensi, prestasi, dan kepribadian. Hasil pengujianmenunjukkan bahwa sistem pendukung keputusan berbasis logika fuzzymamdani dapat memberikan rekomendasi kepada siswa teladan denganlebih obyektif dan sesuai dengan kriteria evaluasi yang telah ditetapkanpihak sekolah. Penelitian ini diharapkan dapat membantu sekolahmengatasi penentuan siswa teladan secara lebih terorganisir dan transparan
Penerapan Metode MOORA Untuk Menentukan Shampoo Terbaik Bagi Kulit Berketombe Pada Perempuan Yumni Syabrina Agustina Lubis; Laila Kumalasari; Fikri Wicaksono; Irfan Sudahri Damanik
Journal of Informatics Management and Information Technology Vol. 5 No. 3 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jimat.v5i3.630

Abstract

Scalp dandruff is a common problem experienced by women and can cause discomfort and lower self-confidence. The large number of shampoo products on the market often makes it difficult for consumers to choose the product that best suits their scalp condition. This study aims to apply the MOORA (Multi-Objective Optimization on the Basis of Ratio Analysis) method to determine the best shampoo for women with dandruff. The problem faced is choosing an effective and safe shampoo for scalp dandruff, by considering various criteria such as price, active ingredients, and effectiveness in treating dandruff. This study uses predetermined criteria and calculates the weight of each criterion based on user preferences. Using the MOORA method, available shampoo alternatives are evaluated and ranked to find the optimal product. The results show that the MOORA method can provide objective and effective results in the decision-making process. With this system, it is hoped that consumers can more easily choose the appropriate shampoo, and assist manufacturers in improving product quality according to market needs. The research results show that the MOORA method can provide the right solution in choosing the best shampoo based on various factors, so that it can help consumers in making more informed and objective decisions.
Co-Authors Fikri Wicaksono Irfan Sudahri Damanik Laila Kumalasari Sundari Retno Andani