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Penelitian ini membangun sistem rekomendasi menggunakan algoritma Content Based Filtering dengan memanfaatkan data judul dan sinopsis. Dataset terdiri atas 1219 komik (471 fisik penerbit Elex Media Komputindo dan 748 digital di Line Webtoon Indonesia). Cosine Similarity digunakan untuk menghitung kemiripan, dan pengujian dilakukan hingga 10 kali dengan hasil precision rata-rata 94,86%.",{"@graph":63,"@context":112},[64,81,103],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,72,75,78],{"item":68,"name":69,"@type":70,"position":71},"https://docshare.wps.com","Home","ListItem",1,{"item":73,"name":9,"@type":70,"position":74},"https://docshare.wps.com/id/document/",2,{"item":76,"name":31,"@type":70,"position":77},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":79,"name":59,"@type":70,"position":80},"https://docshare.wps.com/id/document/implementation-of-content-based-filtering-algorithm-in-a-comic-recommendation-system-abstract-and-research-method/145027/",4,{"url":79,"name":59,"@type":82,"image":83,"author":88,"headline":59,"publisher":91,"fileFormat":94,"inLanguage":57,"description":61,"dateModified":95,"datePublished":96,"encodingFormat":94,"isAccessibleForFree":97,"interactionStatistic":98},"DigitalDocument",{"url":84,"@type":85,"width":86,"height":87},"https://docshare.wps.com/thumbnails/implementation-of-content-based-filtering-algorithm-in-a-comic-recommendation-system-abstract-and-research-method/145027.png","ImageObject",300,407,{"name":89,"@type":90},"Chloe Bennett","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-09-19","2026-08-26",true,{"@type":99,"interactionType":100,"userInteractionCount":102},"InteractionCounter",{"@type":101},"ViewAction",7,{"@type":104,"mainEntity":105},"FAQPage",[106],{"name":107,"@type":108,"acceptedAnswer":109},"Bagaimana kemiripan komik dihitung dan berapa nilai precision yang dicapai?","Question",{"text":110,"@type":111},"Kemiripan dihitung menggunakan metode Cosine Similarity terhadap kriteria yang dimasukkan. 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Meruya Selatan No. 1, Kembangan, Jakarta Barat, Indonesia  \n*e-mail: [alanareyhan1@gmail.com](alanareyhan1@gmail.com)  \n(received: 9 June 2024 , revised: 21 June 2024, accepted: 5 August 2024)  \nAbstrak  \nSaat ini, minat pembaca komik di Indonesia semakin meningkat dan menjadi budaya yang populer. Dengan banyaknya komik yang dirilis tiap tahunnya, membuat calon pembaca kesulitan dalam menemukan komik yang sesuai dengan kriterianya, maka dari itu sistem rekomendasi menjadi fitur yang cukup penting dan memiliki peran dalam membantu calon pembaca. Data yang digunakan yaitu data komik yang berjumlah 1219 komik, dengan rincian 471 komik fisik yang diterbitkan oleh penerbit Elex Media Komputindo dan 748 komik digital yang dirilis di platform Line Webtoon Indonesia. Penelitian ini menggunakan algoritma Content Based Filtering karena hanya memanfaatkan datajudul dan sinopsis dari komik tersebut. Metode Cosine Similarity digunakan untuk menghitung nilai kemiripan dari suatu data komik dengan kriteria yang telah dimasukkan dan dapat menguji data sebanyak 10 kali hingga sistem berhasil memberikan rekomendasi komik yang sesuaidengan rata-rata nilai precision sebesar 94.86% .  \nKata kunci: komik, sistem rekomendasi, content based, TF-IDF, cosine similarity.  \nAbstract  \nCurrently, the interest of comic readers in Indonesia is increasing and has become a popular culture. With so many comics released each year, it makes it difficult for the readers to find comics that fulfill their criteria, therefore the recommendation system becomes a feature that is quite important and has a role in helping the readers. The data used is comic data totaling 1219 comics, with details of 471 physical comics published by Elex Media Komputindo publishers and 748 digital comics released on the Line Webtoon Indonesia platform. This research uses the Content Based Filtering algorithm because it only utilizes title and synopsis data from the comic. The Cosine Similarity method is used to calculate the similarity value of a comic data with the criteria that has been entered and can test the data 10 times until the system successfully gives suitable comic recommendations with an average precision score of 94.86%.  \nKeywords: comics, recommendation system, content based, TF-IDF, cosine similarity.  \n1 Pendahuluan  \nDengan semakin cepatnya perkembangan teknologi, tiap orang dapat mengakses bahan bacaan dari berbagai sumber diseluruh dunia dengan mudah. Perkembangan teknologi juga mendorong industri komik untuk beradaptasi dan bertransformasi dalam varian medianya. [1] Khalayak umum sekarang dapat dengan mudah mengakses dan membaca komik yang disukainya, baik dalam bentuk media cetak maupun digital.  \nSaat ini, minat pembaca komik di Indonesia semakin ramai dan menjadi budaya yang populerkhususnya di kalangan kawula muda. Hal ini dibuktikan dengan banyaknya impor komik yang datang ke Indonesia. [2] Pada tahun 2021, Asosiasi Komik Indonesia atau disingkat AKSI pernah melakukan penelitian terhadap industri komik di Indonesia dan menjelaskannya melalui media sosial mereka. Berdasarkan pengumpulan data yang dilakukan AKSI terhadap jumlah konsumerisme komik di  \n[http://sistemasi.ftik.unisi.ac.id](http://sistemasi.ftik.unisi.ac.id)  \nSistemasi: Jurnal Sistem Informasi ISSN:2302-8149  \nVolume 13, Nomor 4, 2024: 1344-1355 e-ISSN:2540-9719  \nIndonesia, diketahui bahwa Indonesia merupakan negara pembaca komik terbesar ke-4 dunia & ke-2 Asia, serta negara pembaca manga atau komik Jepang terbesar ke-3 dunia & pertama Asia. Denganjumlah 169 judul buku komik Indonesia dan 335 judul komik digital","cbCaihpiNDh7FEHC","https://ap.wps.com/l/cbCaihpiNDh7FEHC","pdf",462394,12,"Indonesian","# Pendahuluan\n# Tinjauan Literatur","[{\"question\":\"Bagaimana kemiripan komik dihitung dan berapa nilai precision yang dicapai?\",\"answer\":\"Kemiripan dihitung menggunakan metode Cosine Similarity terhadap kriteria yang dimasukkan. Sistem diuji 10 kali dan memperoleh precision rata-rata sebesar 94,86%. I\"}]","Implementasi Algoritma Content Based Filtering dalam Sistem Rekomendasi Komik - Abstrak dan Metode Penelitian | PDF",18]