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Rekomendasi Lagu Berdasarkan Jenis Mood Menggunakan TF-IDF dan Cosine Similarity Virginia, Callista; Christy, Christy; Irsyad, Hafiz
Insand Comtech : Information Science and Computer Technology Journal Vol 10, No 1 (2025): Insand Comtech
Publisher : Universitas Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53712/jic.v10i1.2647

Abstract

Sistem rekomendasi lagu saat ini semakin berkembang seiring dengan meningkatnya kebutuhan pengguna akan konten yang sesuai dengan suasana hati (mood). Penelitian ini bertujuan untuk membangun sistem rekomendasi lagu berdasarkan jenis mood pengguna dengan memanfaatkan teknik pengolahan teks, yaitu Term Frequency-Inverse Document Frequency (TF-IDF) dan Cosine Similarity. Metodologi yang digunakan melibatkan tahap preprocessing teks lirik lagu, ekstraksi fitur menggunakan TF-IDF, serta penghitungan tingkat kemiripan antara input deskripsi mood dari pengguna dan koleksi lirik lagu menggunakan CosineSimilarity. Dataset yang digunakan berupa kumpulan lirik lagu yang telah dikategorikan ke dalam beberapa label mood, seperti sadness, joy, anger, dan love. Hasil penelitian menunjukkan bahwa sistem dapat merekomendasikan lagu yang relevan dengan deskripsi mood pengguna secara cukup akurat, dengan tingkat akurasi mencapai 90%, nilai precision mencapai  91,8%, nilai recall mencapai 90% dan nilai F1-Score mencapai 86,9% berdasarkan evaluasi yang telah dilakukan. Simpulan dari penelitian ini menyatakan bahwa kombinasi TF-IDF dan Cosine Similarity efektif untuk membangun sistem rekomendasi lagu berbasis teks yang sederhana namun fungsional.
PELATIHAN PEMBUATAN WEBSITE DENGAN MENGGUNAKAN APLIKASI WIX Virginia, Callista; Jeovanni Wong; Umar Muhdhor; Intan Sanu; Richie Jonathan Chaniago; Ery Hartati
Jurnal Pengabdian Vol. 4 No. 1 (2025): Januari-Juni
Publisher : Bengkulu Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/jp.v4i1.1227

Abstract

The development of technology and information requires students to be able to master the necessary skills. This training aims to improve students' digital literacy in facing rapid technological developments. Website creation is one of the skills from utilizing information and communication technology products. Wix was chosen as a website creation platform because it is drag-and-drop based, user-friendly, and does not require coding skills. This training introduces the basic concepts of website creation, utilization of Wix features, and practice in building a simple online store website. The methods used in this training include training methods and science and technology simulation methods, which combine theory and practice directly. This activity was attended by students and received a positive response. The results of the training showed an increase in students' abilities in utilizing information technology, both for academic and personal purposes. In addition, this training also encourages students' creativity and innovation in self-development in the digital era. Because of that, website development skills should be taught from an early age across various groups in order to prepare students to compete and thrive in the digital era.