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All Journal Riau Journal of Computer Science Jurnal Elementary : Kajian Teori dan Hasil Penelitian Pendidikan Sekolah Dasar JURNAL PENDIDIKAN TAMBUSAI Jurnal Pendidikan dan Konseling Community Development Journal: Jurnal Pengabdian Masyarakat JURNAL MASYARAKAT NEGERI ROKANIA Cendikia : Media Jurnal Ilmiah Pendidikan Jurnal Mandiri IT Engineering and Technology International Journal (EATIJ) Innovative: Journal Of Social Science Research
Sriwahyudi
Program Studi Pendidikan Teknologi Dan Pendidikan, STIKIP ROKANIA
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : engineering and technology international journal eatij

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Penerapan Metode Item Base Collaborative Filtering Berbasis Web Pada Recommender System Laptop: Application of the Web-Based Item Base Collaborative Filtering Method on Laptop Recommender Systems Detri Amelia Chandra; Firman Santosa; Sri Wahyudi
Engineering and Technology International Journal Vol 3 No 02 (2021): Engineering and Technology International Journal (EATIJ)
Publisher : YCMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (696.026 KB) | DOI: 10.55642/eatij.v3i02.70

Abstract

Computers are one form of information technology development whose number of uses is always increasing to meet people's work needs. From this, a type of computer that can be carried anywhere, such as a laptop, was created. A laptop is a portable computer that is relatively medium and light in size and has a power source from a battery or A/C adapter, which can be used to turn on and recharge the laptop. Nowadays there are many various brands, types, specifications and functions of laptops that are sold in the market at varying prices, consumers often find it difficult to choose a laptop that suits their needs. Not infrequently consumers choose laptops with high specifications and expensive prices but are not used for supporting activities such as graphic design, video editing, animation and programming but are more often used for activities that do not require high laptop specifications such as watching movies. Therefore we need a Recommender System with an item based collaborative filtering method that provides laptop recommendations that suit consumer needs.
Co-Authors Adina Sabilah Putri Adyanata Adyanata Adyanata Lubis Aguang Setiawan Agung Setiawan Agung Setiawan Andri Febriansyah Angriamilleni Angriamilleni Detri Amelia Candra Detri Amelia Chandra Didi Suriyadi Eni Marta Erliyen Nofrianda Fauzi Erwis Firman Santosa Gina Sonia Amelya Gina Sonia Amelya Gina Sonia Amelya Ginda Hasibuan, Abdul Putra Jufri Jufri Jupri Jupri Nauli Tama Sari Nurul Aini Ramses Hutagaol Rejeki Rejeki Rina Wati Rina Wati Rina Wati Rizki Koirum Hasibuan Safrudin Safrudin Sasnita Riyani