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EFEKTIFITAS LITERATUR PILIHAN SISWA DAN GURU DALAM MEMBACA TEKS NARATIF PADA SISWA DENGAN MOTIVASI TINGGI DAN RENDAH Fadilah Falah Syifa
Jurnal Pendidikan Nusantara Vol 1 No 1 (2020)
Publisher : STKIP NU Kabupaten Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52796/jpnu.v1i1.5

Abstract

The research was aimed to find out the effectiveness of students’ and teacher’s selected literature in reading narrative text. The students were classified into two categories which were students with higher and lower motivation based on the questionnaire. The method of this research was experimental using 2x2 factorial design in the form of pre and post test. In the process of collecting the data, the pre test was given before the treatment while post test was given after the treatment. T-test and ANOVA was used after the data was collected. The result of the research showed that the use of students’ selected literatures and teacher’s selected literatures were quite effective for both experimental and control class. Based on the research finding, it was reported that students’ selected literature was more effective to the students with higher and lower motivation in reading narrative text.
EFEKTIFITAS LITERATUR PILIHAN SISWA DAN GURU DALAM MEMBACA TEKS NARATIF PADA SISWA DENGAN MOTIVASI TINGGI DAN RENDAH Fadilah Falah Syifa
Jurnal Pendidikan Nusantara Vol 1 No 1 (2020)
Publisher : STKIP NU Kabupaten Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (603.709 KB) | DOI: 10.52796/jpnu.v1i1.5

Abstract

The research was aimed to find out the effectiveness of students’ and teacher’s selected literature in reading narrative text. The students were classified into two categories which were students with higher and lower motivation based on the questionnaire. The method of this research was experimental using 2x2 factorial design in the form of pre and post test. In the process of collecting the data, the pre test was given before the treatment while post test was given after the treatment. T-test and ANOVA was used after the data was collected. The result of the research showed that the use of students’ selected literatures and teacher’s selected literatures were quite effective for both experimental and control class. Based on the research finding, it was reported that students’ selected literature was more effective to the students with higher and lower motivation in reading narrative text.
Pembelajaran Berbasis Digital di Era Revolusi Indutri 5.0 Fadilah Falah Syifa; Mohamad Furqon; Bagas Setiawan
Al-Zayn: Jurnal Ilmu Sosial, Hukum & Politik Vol 3 No 1 (2025): 2025
Publisher : Yayasan pendidikan dzurriyatul Quran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61104/alz.v3i1.856

Abstract

Revolusi Industri 5.0 menandai pergeseran paradigmatik dalam proses pembelajaran yang dilaksanakan, terutama melalui penerapan teknologi digital yang semakin canggih. Penelitian ini mengkaji implikasi pembelajaran berbasis digital dalam konteks Revolusi Industri 5.0, dengan fokus transformasi metode pengajaran, peningkatan keterlibatan siswa, serta tantangan dan peluang yang dihadapi oleh lembaga pendidikan. Melalui kajian literatur, ditemukan bahwa teknologi seperti kecerdasan buatan, realitas virtual, dan augmented reality berpotensi meningkatkan efektivitas pembelajaran dan menyesuaikan proses pendidikan dengan kebutuhan individual siswa yang terbiasa dengan kemudahan teknologi. Namun, implementasi pembelajaran berbasis digital juga menimbulkan tantangan terkait kesenjangan digital, privasi, dan keamanan data. Penelitian ini menyimpulkan bahwa meskipun ada berbagai tantangan, pembelajaran berbasis digital menawarkan peluang besar untuk menciptakan pengalaman belajar yang lebih personal, efisien, dan inklusif di era Revolusi Industri 5.0.
Pengembangan E-Media Augmented Reality Berbasis Inquiry-Based Learning untuk Meningkatkan Minat Belajar Visualisasi Sejarah Manusia Purba Mohamad Furqon; Ira Palupi Ayuningtyas; Fadilah Falah Syifa; Rizal Nurzuli; Pramesti Rahmadiyani
SATESI: Jurnal Sains Teknologi dan Sistem Informasi Vol. 5 No. 2 (2025): Oktober 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian ALGERO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/satesi.v5i2.5906

Abstract

This study aims to develop and evaluate the effectiveness of an Augmented Reality (AR)-based learning media using an Inquiry-Based Learning (IBL) model to enhance history learning interest among Grade X students at SMA NU Hasyim Asy’ari Tarub. The research was motivated by the low student interest caused by monotonous and traditional teaching methods. Employing a Research and Development (R&D) approach with the ADDIE model, the media was designed to feature interactive 3D objects of prehistoric humans, including Homo Soloensis, Pithecantropus erectus, and Homo Florensiensis, supplemented with audio and video. The application was developed using Unity 3D and Vuforia for Android devices. Validation from material, media, and language experts yielded scores of 49, 49, and 46 respectively, categorizing the media as "highly feasible." Classroom implementation garnered a very positive response with an average score of 116.4 from 26 students. A paired sample t-test comparing pre-test and post-test scores showed a statistically significant increase in learning interest, with a mean score difference of 14.40 at a 95% confidence level. These findings conclude that the AR-IBL learning media is highly effective and suitable for increasing student engagement and interest in history.
Support Vector Machine sebagai Sistem Pendukung Keputusan Pemilihan Jurusan Berbasis Website pada SMK NU Hasyim Asy’ari Tarub Rizal Nurzuli; Fadilah Falah Syifa; Robiatul Adawiyah
JUMINTAL: Jurnal Manajemen Informatika dan Bisnis Digital Vol. 4 No. 2 (2025): November 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jumintal.v4i2.6850

Abstract

The process of determining students’ majors in vocational high schools plays a crucial role in shaping their academic development and future career readiness. However, manual decision-making often leads to inaccuracies due to subjective judgments and limited data analysis. This study aims to develop a more accurate and objective major classification model by integrating the Support Vector Machine (SVM) method with Particle Swarm Optimization (PSO). The dataset consists of 292 student records, including academic scores in Mathematics, Indonesian Language, English, and Science, as well as interest questionnaire results. Initial testing using SVM produced an accuracy of 79.76%, indicating that the model’s parameters were not yet optimal. PSO was then applied to optimize the key parameters C and Gamma, resulting in a significant improvement in model performance. The optimized SVM–PSO model achieved an accuracy of 97.20%, with a precision of 96.33%, recall of 95.22%, and an F1-score of 95.77%. These results demonstrate the capability of PSO to enhance SVM’s pattern-recognition performance and address class imbalance issues, particularly for minority majors. Overall, the integration of SVM and PSO is proven to be effective as a Decision Support System, providing schools with accurate, data-driven recommendations for student major placement.