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All Journal International Journal for Educational and Vocational Studies International Journal of Science, Engineering and Information Technology
Rahman, Zeinor
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences

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The Implementation of Blended Learning Model on Motivation and Students’ Learning Achievement Rahman, Zeinor; Rijanto, Tri; Basuki, Ismet; Sumbawati, Meini Sondang
International Journal for Educational and Vocational Studies Vol 2, No 9 (2020): September 2020
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/ijevs.v2i9.2694

Abstract

This study aims to determine differences in student motivation and learning achievement in KKPI subjects between students who use the face-to-face learning model and students who use blended learning models, increased motivation and student achievement in KKPI subjects due to the application of the blended model learning, and the interaction of the influence of the application of learning models and motivation on KKPI student learning achievement at SMK 1 Kamal Bangkalan. This quasi-experimental study uses two groups, namely the experimental group using the blended learning model and the control group using the face-to-face learning model. The study population was students of class XI SMKN 1 Kamal Bangkalan. The research sample consisted of 57 students divided into 30 students in the control group and 27 students in the experimental group. Data collection using questionnaires and multiple choice test questions. The results showed that there were significant differences between motivation and student achievement using the blended learning model and students using the face-to-face learning model, there was a significant increase in student motivation and learning achievement due to the application of the blended learning model, and there was no interaction of influence the application of learning models and motivation to student learning achievement.
The Implementation of Blended Learning Model on Motivation and Students Learning Achievement Rahman, Zeinor; Rijanto, Tri; Basuki, Ismet; Sumbawati, Meini Sondang
International Journal for Educational and Vocational Studies Vol. 2 No. 9 (2020): September 2020
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/ijevs.v2i9.2694

Abstract

This study aims to determine differences in student motivation and learning achievement in KKPI subjects between students who use the face-to-face learning model and students who use blended learning models, increased motivation and student achievement in KKPI subjects due to the application of the blended model learning, and the interaction of the influence of the application of learning models and motivation on KKPI student learning achievement at SMK 1 Kamal Bangkalan. This quasi-experimental study uses two groups, namely the experimental group using the blended learning model and the control group using the face-to-face learning model. The study population was students of class XI SMKN 1 Kamal Bangkalan. The research sample consisted of 57 students divided into 30 students in the control group and 27 students in the experimental group. Data collection using questionnaires and multiple choice test questions. The results showed that there were significant differences between motivation and student achievement using the blended learning model and students using the face-to-face learning model, there was a significant increase in student motivation and learning achievement due to the application of the blended learning model, and there was no interaction of influence the application of learning models and motivation to student learning achievement.
Sentiment Analysis of Public Opinion on Hajj Pilgrimage Travel Costs Using the K-Nearest Neighbors (KNN) Method Rahman, Zeinor; Haryono, Haryono; Hidayat, Rachmad
International Journal of Science, Engineering, and Information Technology Vol 9, No 2 (2025): IJSEIT Volume 09 Issue 02 July 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/ijseit.v9i2.31221

Abstract

In the context of Islam, humans have the duty to educate themselves, purify their souls, and control their desires. Worship performed with sincerity and pure faith is considered a blessing. One example of worship in Islam is performing the Hajj pilgrimage, which is one of the five pillars of Islam, along with the declaration of faith (shahada), prayer (salat), almsgiving (zakat), and fasting (sawm). Hajj requires self-control, dedication, and sacrifice, including financial resources (Noor, 2018). However, the cost of the Hajj pilgrimage, proposed by the Ministry of Religious Affairs (Kemenag), is set to increase by almost 100% from the previous year, reaching IDR 69 million per person in 2023, eliciting various responses from the public. Some responses are constructive and positive, while others oppose the increase. Sentiment analysis is the method used to analyze public reactions to this change. Data for sentiment analysis was gathered from Twitter, with tweets processed using the Tf-Idf and Tf-Rf word weighting methods. The K-Nearest Neighbors (KNN) algorithm was then employed to assess the accuracy and effectiveness of these methods. The study findings revealed that the Tf-Idf word weighting method outperformed Tf-Rf in categorizing public sentiment regarding the cost of the Hajj pilgrimage. Tf-Idf achieved 84% accuracy, 81% precision, and 79% recall, while Tf-Rf achieved 79% accuracy, 75% precision, and 77% recall. Tf-Idf is considered superior in this sentiment analysis, providing precise predictions while effectively capturing important sentiments. Therefore, this method is deemed a reliable choice for accurate sentiment analysis
Co-Authors Haryono Haryono Ismet Basuki Meini Sondang Sumbawati Rachmad Hidayat Tri Rijanto