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All Journal TIERS Information Technology Journal Hexatech: Jurnal Ilmiah Teknik
Daffa Rizki Putra Noordi
Universitas Duta Bangsa
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Perancangan tempat sampah otomatis berbasis arduino Daffa Rizki Putra Noordi; Irfan Agus Prastowo; Muhammad Aqsha Rizki Sugiarto; Dwi Hartanti
Hexatech: Jurnal Ilmiah Teknik Vol. 1 No. 2 (2022): Hexatech: Jurnal Ilmiah Teknik
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (241.594 KB) | DOI: 10.55904/hexatech.v1i2.343

Abstract

Trash cans that have been provided by cleaning agencies only become silent decorations on the streets that are not taken care of and not attractive. Maybe it is also a factor that causes humans to be reluctant to throw garbage. Reflecting on this, each individual's awareness of environmental cleanliness is needed and further improved to minimize the waste that scatters on the streets. In raising awareness of concern for environmental cleanliness, Sometimes it requires a unique way for each individual to be interested, so do not hesitate to throw garbage in its place. The purpose of this research is to produce a tool that is a unique and interesting trash can, Can open and close automatically if any movement is detected. So it is expected that the tool is able to attract attention so that people can throw garbage in its place. This research is carried out based on the results of data collection analysis, direct observation of the system how the tool works, interviews with related parties.
Marvel Movie Recommendation System Using Hybrid Item-Based and Content-Based Filtering Methods Daffa Rizki Putra Noordi; Herliyani Hasanah; Sri Sumarlinda
TIERS Information Technology Journal Vol. 5 No. 1 (2024)
Publisher : Universitas Pendidikan Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38043/tiers.v5i1.5209

Abstract

Currently, there are so many movie genres available to the general public, making it difficult for viewers to choose a movie. One of the most popular movies is the “Marvel Movies” or MCU (Marvel Cinematic Universe), which has become the highest grossing franchise of all time with 90 movies released. The large number of movie titles makes it difficult for people to choose which movie to watch. Therefore, a Marvel movie recommendation system is needed using a hybrid item-based and content-based filtering method. The content-based method calculates the similarity between movies by identifying similar Marvel movies based on content such as genre, actor, director, and synopsis. Meanwhile, item-based completes content-based recommendations by considering user preferences. The reason for using the hybrid item-based and content-based filtering method is to be able to produce more accurate recommendations than a single method. The types and sources of data used are secondary data from journals and the internet (Imdb and Movielens), as well as datasets about Marvel movies. From the results of testing the hybrid model, the precision value is 0.8 or 80% which indicates that the model is accurate. In item-based filtering testing, the similarity result of 0.68 shows good item similarity. In the content-based filtering test, the highest similarity is 0.14 and the lowest similarity is 0.10 which shows that the similarity between the searched content and the generated content is relevant.
Co-Authors Dwi Hartanti Hasanah, Herliyani Irfan Agus Prastowo Muhammad Aqsha Rizki Sugiarto Sri Sumarlinda