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All Journal International Journal of Management Science and Information Technology (IJMSIT) Jurnal Ilmiah Multidisiplin Nusantara
Handina Ananda Putri
Universitas Royal
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Penerapan Metode Multi Factor Evaluation Process (MFEP) dalam Pemilihan Produk Lip Tint Berdasarkan Preferensi Konsumen Remaja Evi Mawardani; Handina Ananda Putri
Jurnal Ilmiah Multidisiplin Nusantara (JIMNU) Vol. 3 No. 2 (2025): JIMNU - JULI
Publisher : PT. Padang Tekno Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59435/jimnu.v3i2.538

Abstract

Penggunaan kosmetik telah menjadi bagian dari gaya hidup modern, khususnya di kalangan remaja wanita. Salah satu produk yang paling diminati adalah lip tint, karena memberikan tampilan natural, tahan lama, dan praktis digunakan dalam berbagai aktivitas. Namun, banyaknya merek yang menawarkan keunggulan masing-masing sering kali membuat konsumen remaja kesulitan menentukan pilihan yang tepat. Penelitian ini bertujuan untuk membantu proses pengambilan keputusan dengan menerapkan metode Multi Factor Evaluation Process (MFEP) dalam menentukan produk lip tint terbaik berdasarkan persepsi remaja wanita. Metode MFEP digunakan karena mampu mengevaluasi beberapa alternatif berdasarkan sejumlah kriteria penting yang telah ditentukan, yaitu harga, daya tahan warna, aroma, kelengkapan shade, dan tekstur produk. Setiap kriteria diberi bobot sesuai tingkat kepentingannya, dan penilaian dilakukan terhadap sepuluh merek lip tint populer. Hasil penelitian menunjukkan bahwa merek BNB memperoleh skor tertinggi sebesar 4,70, menjadikannya sebagai rekomendasi utama. Temuan ini membuktikan bahwa pendekatan evaluasi multikriteria dapat membantu konsumen muda mengambil keputusan yang lebih rasional. Selain itu, penelitian ini diharapkan dapat menjadi referensi bagi produsen dalam mengembangkan produk yang lebih sesuai dengan kebutuhan remaja masa kini
The Use of the K-Means Algorithm as a Method for Grouping Major Interests of Class X Students of SMK Satrya Budi 1 Commerce Handina Ananda Putri; Herman Saputra; Yori Apridonal M
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.6902

Abstract

In the modern era like today, education is one of the most important aspects in supporting the development of quality human resources. In addition, through the main discussion carried out in this study aims to be able to apply the K-Means algorithm as a method for grouping the interests of class X students of SMK Satrya Budi 1 Perdagangan systematically and based on data. In addition, to be able to determine the level of compatibility between student interests and available majors based on the results of the grouping using the K-Means algorithm. And in addition, for the Research Method section used in this study, namely a quantitative approach with the support of data analysis techniques using the K-Means Algorithm Method. The selection of this method is based on the need for research to be able to produce objective grouping of class 10 student majors based on numerical data and certain relevant attributes. So based on this, this study shows the results that the application of the k-means clustering algorithm is able to provide a more objective and systematic approach in the process of determining majors. Grouping is done by processing several assessment criteria such as academic grades, aptitude tests, interest tests, entrance exams and basic skills. Based on the final results of the grouping of 30 students, the system divides students into four main major groups, namely Motorcycle Engineering and Business (8 students), Automotive Light Vehicle Engineering (2 students), Heavy Equipment Engineering (11 students) and Industrial Chemistry (10 students).
Co-Authors Evi Mawardani Herman Saputra Yori Apridonal M