Assessment and evaluation of different machine learning algorithms for predicting student performance

YA Alsariera, Y Baashar, G Alkawsi… - Computational …, 2022 - Wiley Online Library
Student performance is crucial to the success of tertiary institutions. Especially, academic
achievement is one of the metrics used in rating top‐quality universities. Despite the large …

Predicting student's performance using machine learning methods: A systematic literature review

Y Baashar, G Alkawsi, N Ali… - … on Computer & …, 2021 - ieeexplore.ieee.org
Student's performance is a success factor in higher education institutions. The excellent
record of academic achievements raises the institution's ranking as one of the criteria for a …

Predicting the geopolymerization process of fly ash-based geopolymer using deep long short-term memory and machine learning

H Tanyildizi - Cement and Concrete Composites, 2021 - Elsevier
In this study, the geopolymerization process of fly ash-based geopolymer was estimated
using the deep long short-term memory (LSTM) and machine learning models. The k …

Automatic classification of atrial fibrillation from short single-lead ECG recordings using a Hybrid Approach of Dual Support Vector Machine

GGN Geweid, JDZ Chen - Expert Systems with Applications, 2022 - Elsevier
Millions of people worldwide are affected by cardiac arrythmias currently. One of the life
threatening arrythmias associated with high morbidity and mortality is Atrial Fibrillation (AFr) …

A proposed framework in an intelligent recommender system for the college student

D Kurniadi, E Abdurachman, H Warnars… - Journal of Physics …, 2019 - iopscience.iop.org
This article aims to proposed framework an Intelligent Recommender System (IRS) for
students in higher education institutions. This conceptual framework includes problems in …

Geographic information system for mapping public service location

D Kurniadi, A Mulyani, Y Septiana… - Journal of Physics …, 2019 - iopscience.iop.org
This article aims to analyze, design, and development public service location mapping
system based on Geographic Information System (GIS). GIS technology is a useful …

Pemetaan Karakteristik Mahasiswa Penerima Kartu Indonesia Pintar Kuliah (KIP-K) menggunakan Algoritma K-Means++

F Nuraeni, D Kurniadi… - Jurnal Sisfokom (Sistem …, 2023 - jurnal.atmaluhur.ac.id
Pengetahuan baru mengenai pemetaan karakteristik mahasiswa penerima KIP-K pada
perguruan tinggi dapat menggunakan penggalian data yaitu teknik clustering. Pemetaan …

Comparative analysis of decision tree algorithms: Random forest and C4. 5 for airlines customer satisfaction classification

W Baswardono, D Kurniadi, A Mulyani… - Journal of Physics …, 2019 - iopscience.iop.org
This article aims to a comparative analysis of decision tree algorithms between random
forest and C4. 5 for airlines customer satisfaction classification. The comparative study …

A scalable machine learning-based ensemble approach to enhance the prediction accuracy for identifying students at-risk

S Verma, RK Yadav, K Kholiya - International Journal of …, 2022 - search.proquest.com
Among the educational data mining problems, the early prediction of the students' academic
performance is the most important task, so that timely and requisite support may be provided …

Perancangan Aplikasi Sistem Pakar untuk Diagnosis Penyakit pada Ikan Cupang dengan Metode Naive Bayes

IM Fadhil, DDS Fatimah, D Kurniadi - Jurnal Algoritma, 2019 - jurnal.itg.ac.id
Ikan cupang merupakan ikan air tawar yang biasa hidup disekitaran rawa-rawa dan ikan
yang memiliki sifat agresif untuk mempertahankan wilayah tempat tinggalnya. Penyakit yang …