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Comparative Analysis of LightFM and Neural Collaborative Filtering for Anime Recommendation Systems Farras, Daffa Haidar; Rahmatulloh, Alam
Intelmatics Vol. 6 No. 1 (2026): January-June (In Progress)
Publisher : Penerbitan Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/v6i1.24815

Abstract

The rapid growth of digital entertainment content such as movies and anime poses challenges in providing relevant viewing recommendations to users. Recommendation systems are a crucial solution to improve the user experience when exploring thousands of titles across various platforms. This study develops and compares two main approaches to recommendation systems: LightFM and the Collaborative Method . Classic Filtering (CF), as well as Neural Collaborative Deep- based Filtering (NCF) learning . Evaluation was conducted using Precision@K and Recall@K metrics . The test results showed that NCF was able to provide more relevant recommendations, with a Precision@5 value of 0.7983, much higher than LightFM which only reached 0.1721. Although LightFM showed a high AUC value (0.9134), its performance in generating Top-K recommendations was still low. Thus, it can be concluded that modern neural network -based approaches such as NCF are more effective than classical methods in the context of anime recommendation systems.
IMPLEMENTASI INDOROBERTA UNTUK KLASIFIKASI SENTIMEN PADA MEDIA SOSIAL X TERHADAP PROGRAM MAKAN BERGIZI GRATIS Fithriyah, Salma Nur; Rahmatulloh, Alam
JRIS : Jurnal Rekayasa Informasi Swadharma Vol 6, No 1 (2026): JURNAL JRIS EDISI JANUARI 2026
Publisher : Institut Teknologi dan Bisnis (ITB) Swadharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56486/jris.vol6no1.1066

Abstract

The MBG (Free Nutritious Meals) program remains a hot topic on social media, sparking a variety of comments, both positive and negative, regarding the policy. The diverse responses and comments on social media serve as a relevant data source and can be used as research objects. This study aims to classify sentiment in netizen posts and comments regarding the MBG program implemented in Indonesia. The classification model uses the IndoRoBERTa method, implemented within a sentiment analysis scheme, to classify sentiment in text. The process includes collecting social media comment text data, preprocessing, training the IndoRoBERTa model, and evaluating its performance. The results show that the developed sentiment classification model achieved an accuracy of 85.3% and an F1-score of 82.6%. Sentiment classification tends to produce negative sentiments from the overall text data.Program MBG (Makan Bergizi Gratis) masih menjadi salah satu topik yang masif di media sosial dan memicu berbagai komentar pro dan kontra terhadap kebijakan tersebut. Beragam respon dan komentar yang muncul di media sosial menjadi sebuah sumber data yang relevan dan bisa dijadikan sebagai sebuah objek penelitian. Penelitian ini, bertujuan untuk melakukan klasifikasi terhadap sentimen pada postingan dan komentar warganet terhadap program MBG yang diterapkan di Indonesia. Model Klasifikasi menggunakan metode IndoRoBERTa yang diimplementasikan dalam skema analisis sentimen untuk mengklasifikasi sentimen pada teks. Proses yang dilakukan mencakup pengumpulan data teks komentar di media sosial, tahap preprocessing, lalu implementasi model IndoRoBERTa dan mengukur hasil dari evaluasi kinerja model yang dibangun. Hasil penelitian menunjukkan nilai evaluasi model klasifikasi sentimen yang dikembangkan mencapai tingkat akurasi sebesar 85,3% dan nilai F1-score sebesar 82,6%. Klasifiksi sentimen cenderung menghasilkan sentimen berlabel negatif dari keseluruhan data teks.
Co-Authors Aditya, Hafish Naufal Aemy, Nandhitta Albi Fitransyah Aldy Putra Aldya Alpan Hikmat Muharram Permana Amaludin, Luthfi Andi Nur Rachman Andi Nurachman Anggi Putri Meriani Anggi Putri Meriani Anjar Ginanjar ANWAR, FAHMI Aradea Aradea, A Asep Kurniawan Asep Rizki Maulana Asih, Dwi Ramti Aulia, Karina Awaludin, Rizkie Irfan A’izzah, Virra Retnowati Budi Permana Darmawan, Muhamad Aditya Dewi Rahmawati Dita Pramesti Dodi Muhamad Kodar Dwi Ramti Asih Eka Wahyu Hidayat Eka Wahyu Hidayat El Akbar, R Reza El-Akbar, R Reza Elmeftahi, Souhayla Ernawati, Rita Sri Faisal Al Isfahani Faisal Muhammad Dzikry Faisal, Fikri Ahmad Farras, Daffa Haidar Fatchul Arifin Ficry Cahya Ramdani Firdaus, Muhamad Akbar Firmansah, Teguh Anugrah Firmansyah MSN Firmansyah, Faldi Ramadhan Fithriyah, Salma Nur Fuji Nugraha Gagan Akhmad Fauzi Galih Permana Genta Nazwar Tarempa Ginting, Muliani Guna, Nandana Surya Gunawan, Rohmat Gunawan, Rohmat Gunawan, Rohmat Haerani, Erna Hanifah, Faridah Heni Sulastri Heni Sulastri Herlambang, Andriana Herman Dwi Surjono Hidayat, Deri Kurnia Hidayat, Eka Wahyu Hilman Septian husen husen Husen Husen Husen, - Ihsanuddin Ihsan Ikhsan Nur Rizkiana Ilham Yuslin Anugrah Indra Sontana Iqbal Muhammad Fajar Nuralam Irfan Darmawan Ivang Fahmi Fauzi Kodar, Dodi Muhamad Komara Kusumah, R Herick Fauzi Kusumah, R Herick Fauzi Komara Laely Armiyati Lapandu, Raihan Azhar Leka Destrilia Leviana, Rika Maulana, Dikri Merdiriyani, Sindy Meriani, Anggi Putri Mochamad Dzikri Daely Muhammad Ramadhan, Galih Muhammad Saiful Anwar Neng Ika Kurniati Neng Ika Kurniati Neng Ika Kurniati Neng Ika Kurniati Nida, Siti Nabilah Nugraha, Cindera Syaiful Nugraha, Geri Nugroho, Rizal Nur Widiyasono Nur Widiyasono, Nur Perkasa, Mochamad Althaf Pramasetya Popy, Popy Anisa Purwayoga, Vega Putra, Aldy R. Reza El Akbar R. Wahjoe Witjaksono Rachman, Andi Nur Rahmi Nur Shofa Rahmi Nur Shofa Rakhman, Maulana Decky Ramdani, Setiadi Randi Rizal Rianto, Rianto Ridwan Nur Qomar Rifki Mubarok Riki Ahmad Fauji Rita Sri Ernawati Rizal Nugroho Rizal, Randi Rizal, Randi Rochim, Rachma Verina Rohmat Gunawan Rohmat Gunawan Rukiman, Sheptianna Healtha Ruuhwan Ruuhwan Salman, Ade Selamat, Siti Rahayu Septian, Hilman Setiawan, Muhamad Bayu Setiawan, Perdi Shihab, Muhammad Quraish Shofa, Rahmi Nur Sholihat Ruhaedi, Hedy Sulastri, Heni Sulastri, Heni Sulastri, Heni Virra Retnowati A’izzah Visi Tinta Manik Warih Puspitasari Yuliasari, Silpani Yusup Mochamad Ramdani Yuzar, Arnefia ZK Abdurahman Baizal