Melola Discovery

← Melola Discovery

Jurnal SINTA 2

MACHINE LEARNING JOURNAL ARTICLE RECOMMENDATION SYSTEM USING CONTENT BASED FILTERING

JUTI: Jurnal Ilmiah Teknologi Informasi · Vol. 22 No. 1 (2024) · hlm. 1–10

DOI
10.12962/j24068535.v22i1.a1193
ISSN
2406-8535, 1412-6389
Terbit
2024-01-31
Penerbit
Institut Teknologi Sepuluh Nopember
Bahasa
eng

Abstrak

Indonesia is a country that hasn’t studied much about artificial intelligence. This has resulted in a small number of publications related to that field including areas within such as machine learning. For that reason, it caused difficulties in finding relevant journal articles. The purpose of this study is to know the performance of the Content Based Filtering method in providing machine learning journal article recommendations. The research procedure used is CRISP-DM with algorithms used are TF-IDF and Cosine Similarity. The dataset used consists of 100 machine learning journal articles. Based on the research that has been done, it’s concluded that the performance of the Content Based Filtering method in providing machine learning journal article recommendations as measured using the precision evaluation matrix showed a score of 76%, which means the result is quite good. However, the model couldn’t be used properly for some data due to the small number of datasets which affects the limited recommendations.

Jaringan kolaborasi para penulis

16 penulis · 35 tautan kepenulisan bersama · 22 lintas organisasi

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • Indonesia University of Education
  • Yogyakarta State University
  • Universitas Islam Negeri Ar-Raniry
  • Universiti Sains Malaysia
  • Universitas Muhammadiyah Purworejo
  • Universitas Negeri Surabaya
  • Sebelas Maret University
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Putu SudiraYogyakarta State University2
Muhammad Isfa' LanaIndonesia University of Education1
Ilham Agung PambudiIndonesia University of Education1
Muhamad Akda Fathul BarriIndonesia University of Education1
Ayu Permata SariIndonesia University of Education1
Amara Seviany AgustinIndonesia University of Education1
Md Baharuddin Bin Abdul RahmanUniversiti Sains Malaysia1
Suyitno SuyitnoUniversitas Muhammadiyah Purworejo1
Warju WarjuUniversitas Negeri Surabaya1
Pardjono PardjonoYogyakarta State University1
Farid MutohhariYogyakarta State University1
Fajar Danur IsnantyoSebelas Maret University1
Taufik RidwanIndonesia University of Education1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://juti.if.its.ac.id/index.php/juti/oai, pertama di-harvest 26 Okt 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">MACHINE LEARNING JOURNAL ARTICLE RECOMMENDATION SYSTEM USING CONTENT BASED FILTERING</dc:title>
	<dc:creator xml:lang="en">Rianti, Afika</dc:creator>
	<dc:creator xml:lang="en">Majid, Nuur Wachid Abdul</dc:creator>
	<dc:creator xml:lang="en">Fauzi, Ahmad</dc:creator>
	<dc:description xml:lang="en">Indonesia is a country that hasn’t studied much about artificial intelligence. This has resulted in a small number of publications related to that field including areas within such as machine learning. For that reason, it caused difficulties in finding relevant journal articles. The purpose of this study is to know the performance of the Content Based Filtering method in providing machine learning journal article recommendations. The research procedure used is CRISP-DM with algorithms used are TF-IDF and Cosine Similarity. The dataset used consists of 100 machine learning journal articles. Based on the research that has been done, it’s concluded that the performance of the Content Based Filtering method in providing machine learning journal article recommendations as measured using the precision evaluation matrix showed a score of 76%, which means the result is quite good. However, the model couldn’t be used properly for some data due to the small number of datasets which affects the limited recommendations. </dc:description>
	<dc:publisher xml:lang="en">Institut Teknologi Sepuluh Nopember</dc:publisher>
	<dc:date>2024-01-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:format>text/plain</dc:format>
	<dc:identifier>https://juti.if.its.ac.id/index.php/juti/article/view/1193</dc:identifier>
	<dc:identifier>10.12962/j24068535.v22i1.a1193</dc:identifier>
	<dc:source xml:lang="en">JUTI: Jurnal Ilmiah Teknologi Informasi; Vol. 22, No. 1, January 2024; 1-10</dc:source>
	<dc:source>2406-8535</dc:source>
	<dc:source>1412-6389</dc:source>
	<dc:source>10.12962/j24068535.v22i1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://juti.if.its.ac.id/index.php/juti/article/view/1193/507</dc:relation>
	<dc:relation>https://juti.if.its.ac.id/index.php/juti/article/view/1193/542</dc:relation>
</oai_dc:dc>