Search Results - "Widiyaningtyas, Triyanna"

Systematic Literature Review on Recommender System: Approach, Problem, Evaluation Techniques, Datasets by Saifudin, Ilham, Widiyaningtyas, Triyanna

“…Recommender systems become essential with the presence of the internet and social media. The perceived benefits of the recommender system can make it easier…”
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User profile correlation-based similarity (UPCSim) algorithm in movie recommendation system by Widiyaningtyas, Triyanna, Hidayah, Indriana, Adji, Teguh B.

“…Collaborative filtering is one of the most widely used recommendation system approaches. One issue in collaborative filtering is how to use a similarity…”
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A systematic review of movie recommender systems by Widiyaningtyas, Triyanna, Ariyanto, Yuri

“…Recommender systems are vital to everyone's information selection. Managing massive amounts of data is common with recommendation system technology. Annual…”
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Augmented Rice Plant Disease Detection with Convolutional Neural Networks by Hairani, Hairani, Widiyaningtyas, Triyanna

“…The recognition and classification of rice plant diseases require an accurate system to generate classification data. Types of rice diseases can be identified…”
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A Review Questions Classification Based on Bloom Taxonomy Using A Data Mining Approach by Sucipto, Sucipto, Didik, Dwi Prasetya, Triyanna, Widiyaningtyas

“…Bloom's taxonomy is used to categorize learning objectives into various cognitive levels. This study discusses the role of ontology in the classification of…”
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Recommendation Algorithm Using SVD and Weight Point Rank (SVD-WPR) by Widiyaningtyas, Triyanna, Ardiansyah, Muhammad Iqbal, Adji, Teguh Bharata

“…One of the most prevalent recommendation systems is ranking-oriented collaborative filtering which employs ranking aggregation. The collaborative filtering…”
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Recommendation Algorithm Using Clustering-Based UPCSim (CB-UPCSim) by Widiyaningtyas, Triyanna, Hidayah, Indriana, Adji, Teguh Bharata

“…One of the well-known recommendation systems is memory-based collaborative filtering that utilizes similarity metrics. Recently, the similarity metrics have…”
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Illiteracy Classification Using K Means-Naïve Bayes Algorithm by Muhammad Firman Aji Saputra, Triyanna Widiyaningtyas, Aji Prasetya Wibawa

“…Illiteracy is an inability to recognize characters, both in order to read and write. It is a significant problem for countries all around the world including…”
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Penerapan Algoritme Linear Regression untuk Prediksi Hasil Panen Tanaman Padi by Herwanto, Heru Wahyu, Widiyaningtyas, Triyanna, Indriana, Poppy

“…Rice yields are very influential in meeting the basic food needs of rice. Because the needs of rice are always rising, it is necessary to predict crop yields…”
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Hubungan Pengetahuan Pedagogik Mahasiswa dan Keteladanan Guru Saat Kajian Praktik Lapangan dengan Persepsi Berkarir Sebagai Guru Bagi Mahasiswa Prodi S1 PTI UM by Fitriyah, Fitriyah, Putro, Setiadi Cahyono, Widiyaningtyas, Triyanna

“…Tujuan dari penelitian ini yaitu untuk mengungkap hubungan antara pengetahuan pedagogik mahasiswa (X1), keteladanan guru saat Kajian Praktik Lapangan (KPL)…”
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Addressing Class Imbalance of Health Data: A Systematic Literature Review on Modified Synthetic Minority Oversampling Technique (SMOTE) Strategies by Hairani, Hairani, Widiyaningtyas, Triyanna, Dwi Prasetya, Didik

“…The Synthetic Minority Oversampling Technique (SMOTE) method is the baseline for solving unbalanced data problems. The working concept of the SMOTE method is…”
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Interrelatedness patterns of knowledge representation in extension concept mapping by Prasetya, Didik Dwi, Widiyaningtyas, Triyanna, Hirashima, Tsukasa

“…Extension concept mapping enhances existing maps by integrating new knowledge, yielding an additional map. This study focuses on two potential extension…”
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Extended Scratch-Build Concept Map to Enhance Meaningful Learning by Prasetya, Didik Dwi, Widiyaningtyas, Triyanna, Putro, Setiadi Cahyono, Hirashima, Tsukasa, Hayashi, Yusuke

“…Concept map has been widely employed to promote knowledge understanding in various academic disciplines. This study developed an extended open-ended concept…”
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Domination Numbers in Graphs Resulting from Shackle Operations with Linkage of any Graph by Saifudin, Ilham, Widiyaningtyas, Triyanna, Rhomdani, Rohmad Wahid, Dasuki, Moh

“…The domination number is the number of dominating nodes in a graph that can dominate the surrounding connected nodes with a minimum number of dominating nodes…”
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Application-Level Caching Approach Based on Enhanced Aging Factor and Pearson Correlation Coefficient by Zulfa, Mulki Indana, Maryani, Sri, Ardiansyah, -, Widiyaningtyas, Triyanna, Ali, Waleed

“…Relational database management systems (RDBMS) have long served as the fundamental infrastructure for web applications. Relatively slow access speeds…”
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Illiteracy Classification Using K Means-Naïve Bayes Algorithm by Saputra, Muhammad Firman Aji, Widiyaningtyas, Triyanna, Wibawa, Aji Prasetya

“…Illiteracy is an inability to recognize characters, both in order to read and write. It is a significant problem for countries all around the world including…”
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The Development of Collaborative Marketing Website for Digital Learning Materials by Triyanna Widiyaningtyas, Aji Prasetya Wibawa, Utomo Pujianto

“…Website is a collection of related pages and used to display information in the form of text, images, sounds, or a combination of everything that is static or…”
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SISTEM REKOMENDASI PEMILIHAN GEDUNG SERBAGUNA MENGGUNAKAN KOMBINASI METODE ANALITICHAL HIERARCHY PROCCES (AHP) DAN TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) DI KOTA MALANG by Permadi, Gamma Fitrian, Widiyaningtyas, Triyanna, Wahyono, Irawan Dwi

“…Dalam kegiatan indoor, diperlukan sebuah gedung untuk menampung kegiatan tersebut baik acara pribadi ataupun orgasnisasi. Namun banyak masyarakat yang tidak…”
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Comparing User Rating-Based Similarity to User Behavior-Based Similarity in Movie Recommendation Systems by Widiyaningtyas, Triyanna, Hidayah, Indriana, Adji, Teguh Bharata

“…Implementing similarity functions will affect how well the recommender system performs. The traditional similarity solely considers user rating values to…”
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Recommendation Algorithm using Weighted User Behavior Score-Based Similarity by Widiyaningtyas, Triyanna, Hidayah, Indriana, Bharata Adji, Teguh

“…One of the most widely used recommendation system approaches is neighborhood-based collaborative filtering. This approach uses the power of similarity between…”
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