Garuda - Garba Rujukan Digital

IMPLEMENTATION OF E-LEARNING USING THE MOODLE Melyanti, Rika; Febriani, Anita
Jurnal Pendidikan Teknologi Kejuruan Vol 4 No 3 (2021): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v4i3.17223

STAI Tuanku Tambusai Pasir Pangaraian is a high school for Islamic religious education, which in the Teaching and Learning Process (PBM) is currently trying to apply the concept of blended learning by using e-learning. The purpose of this research is to build a Learning Management System (LMS) that can assist lecturers and students in conducting PBM with the help of computer technology. This is felt to have become a necessity during the pandemic and industrial revolution 4.0, STAI should have an e-larning that is able to answer challenges. The online learning system service architecture (e-learning) can be used as an appropriate design in the development of learning methods where the level of flexibility, scalability and functionality can make PBM easier to do anywhere and anytime. The designed online learning system (e-learning) at STAI Tuanku Tambusai is used by two actors, namely students and lecturers.

Analisis Sentimen Kurikulum Merdeka Menggunakan Klasifikasi Naïve Bayes Dan Support Vector Machine: - Eka, Eka Sabna; Anita Febriani; Rika Melyanti
SATIN - Sains dan Teknologi Informasi Vol 10 No 1 (2024): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/stn.v10i1.1121

Media sosial adalah sebuah media yang digunakan untuk bersosialisasi dan bertukar informasi oleh para pengguna dengan menggunakan internet. Beberapa kegunaan media sosial seperti berkenalan dengan teman baru, mengetahui informasi olahraga, ekonomi, pariwisata dan juga Pendidikan. Terkait Pendidikan banyak masyarakat memberikan pendapat dan membicarakan Program Kurikulum Merdeka, terdapat pro dan kontra tentang Program ini. Informasi opini masyarakat diperoleh dari salah satu media sosial yaitu twitter. Penelitian ini bertujuan membangun model analisis sentiment terhadap Program Kurikulum Merdeka . Sumber informasi diperoleh dari Twitter sebanyak 399 data. Penelitian ini mengggunakan 2 (dua) algoritma yaitu Naïve Bayes dan Support Vector Machine (SVM). Hasil penelitian didapatkan opini masyarakat dengan Kategori Positif sebanyak 319 (79,9%) orang dan Kategori Negatif sebanyak 80 (20,1%). Nilai akurasi Naïve Bayes sebesar 71,68% dan SVM 82,80%. Dari hasil akurasi dapat dinyatakan bahwa Model SVM lebih baik dibandingkan dengan Naïve Bayes.

A Comprehensive Stacking Ensemble Approach for Stress Level Classification in Higher Education Fonda, Hendry; Irawan, Yuda; Melyanti, Rika; Wahyuni, Refni; Muhaimin, Abdi
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.388

This research focuses on developing a comprehensive ensemble stacking model for the classification of student stress levels in higher education environments, specifically at Hang Tuah University Pekanbaru. Using a physiological dataset that includes parameters such as SPO2, heart rate, body temperature, systolic, and diastolic pressure, this research categorizes the condition of college students into four main categories: anxious, calm, tense, and relaxed. The data taken from public health centers in the period 2021 to 2024 was processed using the SMOTE technique to overcome data imbalance and K-Fold Cross Validation for model validation. In model development, a combination of basic algorithms such as SVM, Logistic Regression, Multilayer Perceptron, and Random Forest is used which is enhanced by boosting techniques through ADABoost, and XGBoost as a meta model. The test results show that the proposed stacking model is able to achieve 95% accuracy, with an AUC of 0.95, which indicates excellent performance in classification. The model not only excels in detecting more extreme stress conditions such as anxiety, but also shows reliable ability in classifying more difficult to distinguish conditions such as tense and relaxed. The conclusion of this study shows that the applied stacking ensemble approach significantly improves prediction accuracy and stability compared to traditional models. For future research, it is recommended to explore the use of deep learning-based meta-models such as LSTM and BiLSTM as well as rotation techniques in stacking to improve model performance and flexibility. The findings are expected to contribute significantly to the development of more sophisticated and effective stress detection models.

Inovasi Teknologi Dalam Pendidikan Dengan Penerapan Aplikasi Fuzzy Logic Untuk Identifikasi Belajar Di Sekolah Menengah Kejuruan Melyanti, Rika; Yulanda, Yulanda; Fonda, Hendry; Muhardi, Muhardi
INTECOMS: Journal of Information Technology and Computer Science Vol 8 No 1 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v8i1.14569

Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan aplikasi berbasis fuzzy logic untuk mengidentifikasi gaya belajar siswa di SMK Perbankan Riau. Ruang lingkup penelitian mencakup analisis gaya belajar siswa dan penerapan teknologi fuzzy logic dalam proses identifikasi tersebut. Metode yang digunakan meliputi pengembangan aplikasi menggunakan algoritma fuzzy logic dan uji coba pada sampel siswa di SMK Perbankan Riau. Hasil penelitian menunjukkan bahwa aplikasi ini mampu mengidentifikasi gaya belajar siswa dengan tingkat akurasi yang tinggi. Selain itu, aplikasi ini juga membantu guru dalam menyesuaikan metode pengajaran sesuai dengan gaya belajar siswa yang teridentifikasi. Penerapan teknologi ini menunjukkan peningkatan dalam keterlibatan siswa dan pemahaman materi pembelajaran. Simpulan dari penelitian ini menyatakan bahwa penggunaan fuzzy logic dalam identifikasi gaya belajar merupakan inovasi yang efektif dan efisien. Implikasi dari hasil riset ini memberikan kontribusi signifikan bagi pengembangan ilmu pengetahuan di bidang pendidikan, khususnya dalam penerapan teknologi informasi untuk meningkatkan kualitas proses pembelajaran. Penggunaan aplikasi ini juga diharapkan dapat diaplikasikan pada tingkat pendidikan lainnya di masa depan.

Analisis Sentimen Kurikulum Merdeka Menggunakan Klasifikasi Naïve Bayes Dan Support Vector Machine: - Eka, Eka Sabna; Anita Febriani; Rika Melyanti
SATIN - Sains dan Teknologi Informasi Vol 10 No 1 (2024): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33372/stn.v10i1.1121

Media sosial adalah sebuah media yang digunakan untuk bersosialisasi dan bertukar informasi oleh para pengguna dengan menggunakan internet. Beberapa kegunaan media sosial seperti berkenalan dengan teman baru, mengetahui informasi olahraga, ekonomi, pariwisata dan juga Pendidikan. Terkait Pendidikan banyak masyarakat memberikan pendapat dan membicarakan Program Kurikulum Merdeka, terdapat pro dan kontra tentang Program ini. Informasi opini masyarakat diperoleh dari salah satu media sosial yaitu twitter. Penelitian ini bertujuan membangun model analisis sentiment terhadap Program Kurikulum Merdeka . Sumber informasi diperoleh dari Twitter sebanyak 399 data. Penelitian ini mengggunakan 2 (dua) algoritma yaitu Naïve Bayes dan Support Vector Machine (SVM). Hasil penelitian didapatkan opini masyarakat dengan Kategori Positif sebanyak 319 (79,9%) orang dan Kategori Negatif sebanyak 80 (20,1%). Nilai akurasi Naïve Bayes sebesar 71,68% dan SVM 82,80%. Dari hasil akurasi dapat dinyatakan bahwa Model SVM lebih baik dibandingkan dengan Naïve Bayes.

IMPLEMENTATION OF E-LEARNING USING THE MOODLE Melyanti, Rika; Febriani, Anita
Jurnal Pendidikan Teknologi Kejuruan Vol 4 No 3 (2021): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jptk.v4i3.17223

STAI Tuanku Tambusai Pasir Pangaraian is a high school for Islamic religious education, which in the Teaching and Learning Process (PBM) is currently trying to apply the concept of blended learning by using e-learning. The purpose of this research is to build a Learning Management System (LMS) that can assist lecturers and students in conducting PBM with the help of computer technology. This is felt to have become a necessity during the pandemic and industrial revolution 4.0, STAI should have an e-larning that is able to answer challenges. The online learning system service architecture (e-learning) can be used as an appropriate design in the development of learning methods where the level of flexibility, scalability and functionality can make PBM easier to do anywhere and anytime. The designed online learning system (e-learning) at STAI Tuanku Tambusai is used by two actors, namely students and lecturers.

Applications to Support Smart Learning Environments in Project-Based Cooperative Learning Models in Java Programming Courses and Applied in Science Rika Melyanti; Fitri Ayu; Mardainis Mardainis; Zupri Henda; Herianto Herianto
Jurnal Penelitian Pendidikan IPA Vol 10 No 6 (2024): June
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i6.7141

This research paper proposes the development of an application to support an intelligent learning environment in a project-based cooperative learning model on Java programming courses. The application is built using the Laravel framework where the end result later lecturers can easily see the student portfolio of each learning access on the java programming course. An intelligent learning environment will enable students to learn from their experiences, adapt to new input, and perform project tasks already assigned to lecturers. This application will also help teachers in groups that are adapted from the cooperative learning model of the STAD type. The proposed application will be designed to make it easier for teachers to form groups based on the ability of students from high, medium and low, so that the groups formed are not homogeneous groups. This application will be useful for a variety of study programmer that have practical programming courses devised. This paper will discuss the benefits of cooperative learning, project-based learning, and intelligent learning environments in the context of Java programming courses. It will also provide insights into the proposed application development process. This application facilitates communication and discussion among students in a group that is easily connected with their lecturer, so that the lecturer can also monitor the activity of the group members. This paper will conclude with a discussion of the potential impact of the proposed applications on the field of education and the future in the learning environment.

Optimization of a New Adaptive Stacking Ensemble Model Integrated with IoT for Stress Level Detection Based on Physiological Signals Muhardi; Mohd Rinaldi Amartha; Rika Melyanti; Yuda Irawan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 1 (2026): February 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i1.6770

Mental health issues among college students are receiving increasing attention, particularly because of academic and social pressures and the impact of technology use. This study aims to develop a real-time stress level prediction model using a New Adaptive Stacking Ensemble approach based on physiological data and IoT devices. The data included heart rate, SpO₂, body temperature, and systolic and diastolic blood pressure. Five machine learning algorithms are used as base models: SVM, C4.5, Decision Tree, KNN, and Random Forest. The MLP serves as the meta-model, which is then optimized using Optuna. The model training process begins with pre-processing, feature standardization using StandardScaler, and data balancing using SMOTE. The results showed that the stacking model with the MLP meta-model achieved an accuracy of 90.00% under the individual Random Forest and KNN models, and increased to 97.00% after hyperparameter optimization. This model was then integrated with IoT devices using MAX30102, MLX90614, and digital tensiometer sensors, as well as a Streamlit interface to display real-time stress classification results. The system built not only excels in accuracy but can also be implemented to directly detect stress levels, thereby potentially supporting early intervention and mental health promotion in campus environments.

Enhancing Educational Practices through Simple Online Learning Applications for Vocational Teachers at Abdurrab Pekanbaru Rika Melyanti; Yulanda Yulanda; Hendry Fonda
Pengabdian: Jurnal Abdimas Vol. 3 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v3i2.1388

ABSTRACTBackground. The rapid advancement of technology in education necessitates the adoption of digital tools to facilitate effective teaching and learning processes. Purpose. The primary objective of this community service activity is to empower vocational teachers with an easy-to-use online learning platform that enhances their instructional methods and improves student engagement.Method. The application was developed using user-centered design principles to ensure it meets the specific needs of the teachers. Training sessions were conducted to familiarize the teachers with the application, followed by a pilot phase to gather feedback and make necessary adjustments. Results. The implementation of the online learning application resulted in increased teacher satisfaction, improved student participation, and a more interactive learning environment. Conclusion. The project demonstrates that simple, user-friendly digital tools can significantly enhance educational practices in vocational schools. Future community service activities should explore the long-term impacts of such applications on teaching efficacy and student outcomes.

IMPLEMENTASI APLIKASI SIPTRA BERBASIS WEB UNTUK MENINGKATKAN EFEKTIVITAS TINDAK LANJUT REKOMENDASI TEMUAN AUDIT PADA KANWIL BPN RIAU Jon Eka Putra; Rika Melyanti; Abdi Muhaimin
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10681

Pelaksanaan tindak lanjut rekomendasi temuan audit merupakan bagian penting dalam mendukung efektivitas pengawasan internal pada instansi pemerintah. Namun, proses tindak lanjut di Kantor Wilayah Badan Pertanahan Nasional (BPN) Provinsi Riau masih dilakukan secara semi-manual melalui WhatsApp, Google Drive, dan Google Sheets sehingga mengakibatkan keterlambatan penyampaian informasi, kesulitan dalam monitoring progres, serta penyusunan laporan yang belum terintegrasi. Penelitian ini bertujuan merancang dan membangun Aplikasi SIPTRA berbasis web untuk mempercepat proses tindak lanjut rekomendasi temuan audit melalui pengelolaan data secara terpusat, pengunggahan bukti tindak lanjut, monitoring progres secara real-time, serta penyajian laporan yang sistematis. Metode pengembangan sistem yang digunakan adalah Rapid Application Development (RAD) dengan tahapan perencanaan kebutuhan, perancangan, konstruksi, dan implementasi. Perancangan sistem menggunakan Unified Modeling Language (UML), implementasi dilakukan dengan framework Laravel dan basis data MySQL, sedangkan pengujian menggunakan metode Black Box Testing. Hasil penelitian menunjukkan bahwa Aplikasi SIPTRA mampu mengintegrasikan proses pengelolaan temuan audit, verifikasi bukti tindak lanjut, monitoring progres, dan pelaporan dalam satu platform yang terstruktur. Sistem yang dikembangkan meningkatkan efektivitas dan efisiensi proses tindak lanjut, mempermudah pemantauan berdasarkan batas waktu penyelesaian, serta menghasilkan laporan yang lebih cepat dan akurat. Dengan demikian, Aplikasi SIPTRA dapat menjadi solusi yang efektif dalam mendukung pengawasan internal dan mempercepat penyelesaian tindak lanjut rekomendasi temuan audit di Kantor Wilayah BPN Provinsi Riau.

Title

Found 30 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 30 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 30 Documents
Search