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Vocabulary and Grammar Gains Through AzVocab.AI Integration in Writing: Kosakata dan Tata Bahasa Diperoleh Melalui Integrasi AzVocab.AI dalam Penulisan Mulyani, Agustina; Darmawan, Deni; Rahayu, Ayu Puji
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.1465

Abstract

General Background: Writing is a core English skill that requires mastery of vocabulary and grammar, yet students often struggle in both areas. Specific Background: At SMPN 2 Limbangan Garut, many eighth-grade students fail to meet writing performance standards due to limited vocabulary and grammar proficiency. Knowledge Gap: Despite the proliferation of AI tools in education, little is known about their effectiveness at the junior high school level in Indonesia, particularly in writing skills development. Aims: This study aims to evaluate the effectiveness of AzVocab.AI, an AI-powered vocabulary learning platform, in improving students’ writing outcomes through enhanced vocabulary and grammar acquisition. Results: Using a true experimental design with three learning cycles (pretest-treatment-posttest), the study found a consistent improvement in scores: vocabulary increased from 41.25 to 75.5 and grammar from 46.25 to 75.5. N-Gain scores were moderate, while regression analysis showed AzVocab.AI accounted for 77.9% of the vocabulary gains and 47.5% for grammar. Novelty: The study presents one of the first empirical validations of an AI-based tool’s impact on junior high school writing performance in Indonesia. Implications: These findings suggest integrating AzVocab.AI into English curricula could significantly enhance student autonomy and language skill development in secondary education settings.Highlight : AzVocab.AI significantly improved students’ vocabulary and grammar scores with a moderate N-Gain category. The platform supports self-directed learning by offering real-time feedback and contextual vocabulary exercises. Regression analysis showed AzVocab.AI contributed 77.9% to vocabulary improvement and 47.5% to grammar enhancement. Keywords : AzVocab.AI, Vocabulary, Grammar, Writing Skill, Educational Technology
Pengembangan Modul Ajar Digital Interaktif Menggunakan Model ADDIE Pada Materi Resensi Kelas XI SMA Padilah, Ai Fitri; Gumilar, Ramdan; Sobarudin, Refia Mustikaati; Rahayu, Ayu Puji
Innovative: Journal Of Social Science Research Vol. 5 No. 4 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i4.20552

Abstract

Penelitian ini bertujuan untuk mengembangkan modul ajar digital interaktif berbasis model ADDIE pada materi teks resensi di kelas XI SMA. Latar belakang dari penelitian ini adalah rendahnya pemahaman siswa terhadap materi Bahasa Indonesia, khususnya teks resensi, yang disebabkan oleh metode pembelajaran konvensional yang kurang menarik dan minim praktik. Penelitian dilakukan melalui lima tahapan model ADDIE, yaitu: Analysis, Design, Development, Implementation, dan Evaluation. Modul dikembangkan dalam bentuk PowerPoint interaktif yang dilengkapi dengan media pendukung seperti video, kuis, dan proyek berbasis teknologi digital. Evaluasi formatif dan sumatif menunjukkan bahwa penggunaan modul ini meningkatkan motivasi belajar, pemahaman konsep resensi, dan kemampuan literasi kritis siswa. Hasil penelitian juga menunjukkan bahwa pendekatan berbasis proyek (PBL) dan pemanfaatan media digital mampu menciptakan pembelajaran yang lebih aktif, kontekstual, dan sesuai dengan karakteristik generasi digital native. Oleh karena itu, modul ini dinilai efektif sebagai alternatif inovatif dalam pembelajaran Bahasa Indonesia di era digital.
Trends, Issues, Opportunities, and Challenges in the Digitalization Era: Utilizing Educational Technology to Support the Implementation of the Independent Curriculum at SMA Negeri 8 Tasikmalaya City Rahayu, Ayu Puji; Sonari, Heny; Robby, Asa; Rahmawati, Ine
Indonesian Journal of Community Empowerment (IJCE) Vol 3 No 04 (2022): Indonesian Journal of Community Empowerment (November)
Publisher : Fakultas Kewirausahaan Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35899/ijce.v3i04.1094

Abstract

This community service activity was conducted to analyze trends, issues, opportunities, and challenges in the utilization of educational technology to support the implementation of the Merdeka Curriculum at SMA Negeri 8 Tasikmalaya. Using a descriptive qualitative approach, data were collected through training, group discussions, and interviews with teachers to gain insights into their readiness and practices in applying digital learning tools. The results revealed that teachers demonstrated strong enthusiasm and awareness of the importance of technology for enhancing project-based learning, collaboration, and independent learning in line with the philosophy of the Merdeka Curriculum. Teachers began integrating various platforms such as Learning Management Systems (LMS), Google Classroom, Canva, and Quizizz, and they also recognized the potential of advanced tools such as Augmented Reality (AR) and Artificial Intelligence (AI) in increasing student engagement. Nevertheless, several issues arose, including limited digital literacy among teachers, unequal access to devices among students, and inadequate internet infrastructure. These challenges often hinder the optimal use of technology in classrooms. On the other hand, opportunities were identified in the form of teacher capacity building, interactive learning design, and increased student motivation through technology-based media. The findings of this program highlight that the successful implementation of the Merdeka Curriculum requires continuous mentoring, collaborative practices among teachers, and strong institutional support in providing adequate facilities and digital infrastructure.
Learning Evaluation for Elementary, Middle, and High School Levels Rahayu, Ayu Puji; Saepurrohman, Saepurrohman; Junaedi, Jujun; Sonari, Heny
Indonesian Journal of Community Empowerment (IJCE) Vol 4 No 04 (2023): Indonesian Journal of Community Empowerment (November)
Publisher : Fakultas Kewirausahaan Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35899/ijce.v4i04.1097

Abstract

At the elementary, secondary, and higher education levels, there are significant differences in the evaluation approaches required. In elementary schools, the evaluation approach typically focuses more on formative assessment to provide constructive feedback, thereby increasing student engagement and motivation to learn. This method is designed to provide educators with the skills and knowledge necessary to implement effective and relevant learning evaluations. This community service program significantly contributes to the understanding and practice of learning evaluation at the elementary, secondary, and higher education levels. With continued support in technology and innovative methods, it is hoped that the results will transform the culture of evaluation in schools and improve the overall quality of education. With increased evaluation knowledge and skills among educators, it is hoped that the overall quality of education will improve.
STRENGTHENING TEACHER COMPETENCE IN ANALYSING QUESTION ITEMS AT SDIT DARUL ABROR, GARUT REGENCY Rahardian, Dian; Rahayu, Ayu Puji; Nasrulloh, Iman; Budiman, Indra
DEVELOPMENT: Journal of Community Engagement Vol. 4 No. 3 (2025): September
Publisher : LPPM STAI Muhammadiyah Probolinggo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46773/djce.v4i3.2547

Abstract

Learning assessment is an essential component of the educational process as it evaluates students’ achievement of competencies and provides a basis for improving instructional practices. However, evidence from the field shows that elementary school teachers still face challenges in conducting item analysis using quantitative approaches. This community service program was designed in the form of a workshop to enhance teachers’ conceptual understanding of learning assessment as well as their technical skills in item analysis using Anates software. The program was implemented through pre-test, lectures, hands-on practice, group discussions, and post-test activities involving 52 teachers, with 41 serving as research respondents. Data analysis using the Wilcoxon test indicated a significant difference between participants’ abilities before and after the workshop, with greater improvement observed in technical item analysis skills compared to conceptual understanding. These findings demonstrate that practice-oriented training supported by technology can effectively strengthen teachers’ competence in developing valid and reliable assessment instruments. The implications of this program extend beyond the partner school, offering a sustainable collaboration model between universities and elementary schools to foster teacher professional development.
Meningkatkan Kemampuan Berbicara Dengan Menggunakan Media Storytelling Model Addie Pada Siswa Sekolah Dasar Permana, Ajeng Ratna; Rismawati, Irma; Mustopa, Endang; Rahayu, Ayu Puji
Jurnal Ilmiah Wahana Pendidikan Vol 11 No 10.C (2025): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk mengevaluasi efektivitas media storytelling berbasis cerita rakyat "Situ Bagendit" dalam meningkatkan kemampuan berbicara siswa kelas 2 Sekolah Dasar di Kecamatan Bl. Limbangan. Menggunakan pendekatan kuantitatif dengan desain eksperimen, penelitian ini mengikuti model ADDIE (Analysis, Design, Development, Implementation, Evaluation) dalam pengembangan media. Hasil penelitian menunjukkan peningkatan skor rata-rata kemampuan berbicara siswa dari 65 menjadi 82 setelah intervensi, dengan selisih 17 poin yang signifikan (p < 0.05). Observasi menunjukkan bahwa 90% siswa berpartisipasi aktif, dan kuesioner mengindikasikan bahwa 95% siswa menikmati pembelajaran, sementara 85% merasa lebih percaya diri dalam berbicara. Temuan ini menegaskan bahwa penggunaan media storytelling efektif dalam meningkatkan keterampilan berbicara siswa dan memberikan kontribusi penting dalam pengembangan metode pembelajaran inovatif di pendidikan dasar.
Web-Based Learning Path with Create Interest, Explore Concepts, Reflect, Discuss, Act, Conclude and Share for Developing Student Responsibility: Alur Pembelajaran Berbasis Web dengan Ciptakan Ketertarikan, Eksplorasi Konsep, Rasakan dan Refleksikan, Diskusi Bersama, Aksi Nyata, serta Simpulkan dan Sebarkan untuk Mengembangkan Tanggung Jawab Peserta Didik Nuraini, Dewi; Hamdani, Nizar Alam; Nurjamil, Asep; Darmawan, Deni; Rahadian, Dian; Rahayu, Ayu Puji
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.1645

Abstract

Background: Character education in Indonesia requires learning approaches that go beyond content mastery to foster responsibility among students. Specific background: Conventional methods in civic education have proven less engaging and inadequate in cultivating responsible attitudes. Knowledge gap: Limited models exist that integrate technology-driven, interactive approaches with systematic character formation. Aim: This study developed and implemented a web-based CERDAS learning path to foster responsibility in junior high school students, specifically in the context of civic rights and obligations. Results: Using the ADDIE model, six stages of CERDAS (Create Interest, Explore Concepts, Reflect, Discuss, Act, Conclude and Share) were designed and validated. Testing with 30 ninth-grade students demonstrated significant growth in responsibility, reflected in discipline, autonomy, collaboration, and commitment. High validation scores (96% for material, 87% for media) confirmed the product’s feasibility. Novelty: This study introduced a systematic, web-based instructional flow explicitly designed to shape responsibility through interactive civic learning. Implications: The CERDAS model offers a scalable strategy for embedding responsibility into digital civic education, contributing to character-based education in Indonesia and beyond. Highlights Students showed greater responsibility in academic, social, and collaborative tasks. Web-based CERDAS learning path engaged students actively in civic education. Validation confirmed the model is feasible and adaptable for broader use. Keywords: Web-Based Learning, Civic Education, Student Responsibility, Interactive Model, CERDAS Path
Developing Teacher Competence Through Digital-Based Learning at the PGRI Ciamis Regency Rahayu, Ayu Puji; Mulyani, Agustina; Permana, Fadilah; Jamilah, Jam Jam
Indonesian Journal of Community Empowerment (IJCE) Vol 5 No 02 (2024): Indonesian Journal of Community Empowerment (May)
Publisher : Fakultas Kewirausahaan Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35899/ijce.v5i02.1111

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The mastery of digital technology has become an essential skill for teachers in addressing the demands of 21st-century learning. However, many educators still face limitations in effectively utilizing technology in the learning process. This Community Service Program (PkM) was conducted to enhance teacher competencies through digital-based learning training at PGRI Kabupaten Ciamis. The method consisted of need analysis, module development, hands-on training sessions, and intensive mentoring. The results showed significant improvements in teachers' abilities to utilize digital platforms for planning, implementing, and evaluating learning activities. This program had a positive impact by improving teachers’ digital literacy and enabling the integration of technology into classroom practices. The initiative is expected to foster innovative, adaptive, and relevant learning in the digital era.
Chatbot for Signaling Quranic Verses Science Using Support Vector Machine Algorithm Syaripudin, Undang; Suparman, Deden; Gerhana, Yana Aditia; Rahayu, Ayu Puji; Mintarsih, Mimin; Alawiyah, Rizka
JOIN (Jurnal Online Informatika) Vol 6 No 2 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i2.827

Abstract

The many verses in the Qur'an encourage finding the right way how to understand it thematically. The purpose of the research is to develop a chatbot application that can be used to explore and elaborate the content of verses in the Qur’an that hint at science. The support vector machine (SVM) algorithm classifies question and answers datasets in chatbot applications. The number of data sets used is 76, with test data as much as 10%. The test results show that the SVM algorithm is quite good in classifying, with an accuracy value of 87.5%. While the user test results obtained an average MOS of 8.4, which means the chatbot application developed is very effective in understanding the Qur'an, which implies science. This research is expected to provide an overview of the explanation of the Qur'an about science and technology.
Automatic Detection of Hijaiyah Letters Pronunciation using Convolutional Neural Network Algorithm Gerhana, Yana Aditia; Azis, Aaz Muhammad Hafidz; Ramdania, Diena Rauda; Dzulfikar, Wildan Budiawan; Atmadja, Aldy Rialdy; Suparman, Deden; Rahayu, Ayu Puji
JOIN (Jurnal Online Informatika) Vol 7 No 1 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i1.882

Abstract

Abstract— Speech recognition technology is used in learning to read letters in the Qur'an. This study aims to implement the CNN algorithm in recognizing the results of introducing the pronunciation of the hijaiyah letters. The pronunciation sound is extracted using the Mel-frequency cepstral coefficients (MFCC) model and then classified using a deep learning model with the CNN algorithm. This system was developed using the CRISP-DM model. Based on the results of testing 616 voice data of 28 hijaiyah letters, the best value was obtained for accuracy of 62.45%, precision of 75%, recall of 50% and f1-score of 58%.