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All Journal Jurnal Inkofar Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Komtekinfo
Previana, Cantika Nur
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Automotive Engineering Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering Medicine & Pharmacology Public Health Transportation

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The Effectiveness of Adaptive Learning Systems Integrated with LMS in Higher Education andhika, Andhika; Aldila, Amalia Shifa; Supriyono, Lawrence Adi; Previana, Cantika Nur; Habibie, Dedi Rahman
Jurnal KomtekInfo Vol. 11 No. 2 (2024): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v11i2.505

Abstract

Higher education has been paying close attention to adaptive learning systems (ALS) coupled with learning management systems (LMS) because of their potential to improve student outcomes and personalise learning experiences. The purpose of this study is to assess how well ALS combined with LMS can raise student engagement, academic achievement, and general satisfaction in higher education environments. Using a combination of quantitative data from academic performance measurements and qualitative input from focus groups and student questionnaires, a mixed-methods approach was used. A mid-sized university hosted the study over two semesters, with 500 undergraduate students enrolled in a range of subjects. A control group utilising a conventional LMS and an experimental group using an LMS linked with ALS were each given a set of participants. The quantitative analysis revealed a statistically significant improvement in academic performance for students in the experimental group (p < 0.05). Additionally, student engagement, measured through LMS activity logs and interaction frequencies, was notably higher in the experimental group. Qualitative feedback indicated that students appreciated the personalised learning paths and timely feedback provided by the ALS, reporting increased motivation and satisfaction with their learning experience. The integration of adaptive learning systems within LMS platforms demonstrates a positive impact on student academic performance, engagement, and satisfaction in higher education. These findings suggest that educational institutions should consider adopting an ALS-integrated LMS to support personalised learning and improve educational outcomes. Further research is recommended to explore the long-term effects and scalability of such systems across diverse educational contexts.
PERANCANGAN BISNIS DAN IMPLEMENTASI PAKETEMPAT: APLIKASI PENYEWAAN RUANGAN Previana, Cantika Nur; Andhika, Andhika; Maulansyah, Muhamad Rizky; Prasetyo Pribadi, Arga Seno
Jurnal Inkofar Vol 7, No 2 (2023)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46846/jurnalinkofar.v7i2.304

Abstract

An activity such as office meetings, gatherings, and business needs are often conducted outside the office premises. Various locations commonly used include halls, private meeting rooms, cafes, or other paid public spaces. However, booking these places can be time-consuming and costly. To address this issue, there is a need for an online platform that connects space owners and renters. Paketempat serves as an online platform where individuals, communities, organizations, or groups can find suitable locations for gatherings, meetings, or office purposes, with a different atmosphere and budget to match their needs (in the Malang and surrounding areas). The goal is for both renters and space owners to benefit from this platform. Renters can discover new environments for their events, find places that align with their theme and budget, and save time. Space owners can profit financially by utilizing and renting out their available spaces by the hour or day. From this application, several usability responses have been gathered from both owners and users of Paketempat. In general, the survey results, conducted through a Google form distributed to Paketempat users, have been positive, encompassing speed, completeness of information, and user interface.
Implementation of GridSearchCV to Find the Best Hyperparameter Combination for Classification Model Algorithm in Predicting Water Potability Kurniasih, Aliyah; Previana, Cantika Nur
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 2 (2025): February 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i2.844

Abstract

Drinking water quality is an important factor in public health, so an accurate approach is needed to determine water potability. This research aims to create a water potability prediction model using machine learning methods, with a focus on model accuracy and testing. The dataset used includes various chemical parameters, as well as one radiological and acceptability parameter. In this study, various machine learning algorithms, such as Support Vector Machine (SVM), Random Forest (RF), and Logistic Regression, were applied using GridSearchCV and their performance compared. Models were evaluated using accuracy, precision, recall, F1-score, and confusion matrix metrics, with cross-validation to ensure generalizability. The results showed that the Support Vector Machine algorithm provided the best performance with an accuracy of 70.43%, followed by Random Forest and Logistic Regression with accuracies of 70.12% and 62.20%, respectively. The Support Vector Machine-based model is able to provide reliable predictions and can be used as a tool to support decision-making in water quality management.
Co-Authors Aliyah Kurniasih Amalia Shifa Aldila Andhika Habibie, Dedi Rahman Lawrence Adi Supriyono Maulansyah, Muhamad Rizky Prasetyo Pribadi, Arga Seno