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Leveraging Neural Matrix Factorization (NeuralMF) and Graph Neural Networks (GNNs) for Enhanced Personalization in E-Learning Systems Aji, Achmad Maezar Bayu; Nurdiyanti, Dewi; Basri, Hasan
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 2 (2024): AUGUST 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i2.2238

Abstract

This study investigates the application of a combined approach utilizing Neural Matrix Factorization (NeuralMF++) and Graph Neural Networks (GNNs) to enhance personalization in e-learning recommendation systems. The primary objective is to address significant challenges commonly encountered in recommendation systems, such as data sparsity and the cold start problem, where new users or items need prior interaction history. NeuralMF++ leverages neural networks in matrix factorization to capture complex non-linear interactions between users and content. GNNs model intricate relationships between users and items within a graph structure. Experimental results demonstrate a substantial improvement in recommendation accuracy, measured by metrics such as Hit Ratio (HR) and Normalized Discounted Cumulative Gain (NDCG). Additionally, the proposed model exhibits greater efficiency in training time than traditional methods, achieving this without compromising recommendation quality. User feedback from several universities involved in this research indicates high satisfaction with the recommendations provided, suggesting that the model effectively adapts recommendations to align with evolving user preferences. Thus, this study asserts that integrating NeuralMF++ and GNNs presents significant potential for broad application in e-learning platforms, offering substantial benefits in personalization and system efficiency
Analysis of the Level of Difficulty and Differentiating Power of the Final Semester Assessment Made by Teachers of Class XI High School Chemistry Subjects in Cirebon in the Odd Semester of the 2022/2023 School Year Nurdiyanti, Dewi; Nurlia Hermawati, Tania; Dwi Cahyani, Mutiara
Jurnal Edusci Vol 1 No 5 (2024): Vol 1 No 5 Mei 2024
Publisher : Annpublisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/edusci.v1i5.273

Abstract

This study aims to determine the quality on the Odd Semester Final Assessment (PAS) of Grade XI Chemistry Subjects in SMAs in the Cirebon Region for the 2022/2023 Academic Year. This research is a quantitative description research with data collection methods using document analysis to obtain data. The sample of this study was grade XI students. Quantitative research was conducted with the help of the ANATES software program version 4.09. the results showed: (1) In terms of Distinguishing Power, the highest value is in school E (77%) and the lowest value is school C (50%). (2) In terms of Level of difficulty there is a proportional comparison in school B with a ratio of 3:5:2.
PEMANFAATAN LIMBAH BONGGOL JAGUNG MENJADI TEPUNG BERKUALITAS DALAM MENINGKATKAN POTENSI AGROPERTANIAN DESA SUKAMANAH Gusman, Tania Avianda; Rachmat, Irfan Fauzi; Cahyani, Mutiara Dwi; Nurdiyanti, Dewi; Ramadhani, Putri
DedikasiMU : Journal of Community Service Vol 6 No 4 (2024): Desember
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/dedikasimu.v6i4.8348

Abstract

Desa Sukamanah memiliki potensi pertanian yang cukup besar, khususnya dalam produksi jagung. Pada bagian jagung terdapat bonggol yang dimanfaatkan sebagai campuran pakan ternak maupun kompos. Limbah bonggol jagung yang tidak termanfaatkan akan menjadi pencemaran tanah dan air sehingga menggangu kesehatan dan pemandangan di desa Sukamanah. Adanya permasalahan tersebut dan kebutuhan ibu-ibu PKK dalam mengolah limbah menjadi tepung yang berkualitas dan bernilai ekonomi. Pelatihan pengolahan limbah bonggol jagung diharapkan dapat menambah pengetahuan terkait pengolahan limbah menjadi bernilai ekonomi serta menambah kemampuan dalam mengolah limbah bonggol jagung menjadi tepung yang berkualitas, serta mengubah tepung berkualitas menjadi cemilan yang bernutrisi tinggi. Para ibu PKK sangat antusias dengan adanya pelatihan pengolahan lombah bonggol jagung menjadi tepung berkualitas dan megubahnya menjadi cemilan berbagai variasi untuk peningkatan nutrisi anak.
Training on Making Healthy Dumplings from the Flesh of Manalagi Mango Typical of Local Fruit from SMA Muhammadiyah Kedawung School Nurudin, Arif; Gusman, Tania Avianda; Hasanah, Uswatun; Nurdiyanti, Dewi
Society : Jurnal Pengabdian Masyarakat Vol 4, No 2 (2025): Maret
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v4i2.523

Abstract

This training aims to improve students' skills through the utilization of manalagi mango pulp as a basic ingredient for making healthy dumplings to become a superior product for students of SMA Muhammadiyah Kedawung. The activity was carried out at SMA Muhammadiyah Kedawung with a participatory approach. The methods used included observation, implementation in the form of socialization and training, and evaluation in the form of pretests and posttests. Students were taught how to process mango manalagi into healthy dumpling filling that is nutritious and adds economic value. The results of the activity showed an increase in students' skills in the dumpling production process as well as knowledge about dumpling nutrition. Student response was very positive, with 85% of participants showing interest in improving their understanding of processing fruit pulp into nutritious and healthy dumplings.