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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Educatio Jurnal Abdi Insani
Nugroho, Ginaldi Ari
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Peningkatan Kreativitas dan Pemahaman Siswa tentang Energi Terbarukan Melalui Perakitan Mobil Mainan Bertenaga Surya di SMP Baitul Hikmah Ikhsan, Akhmad Fauzi; Nurpalah, Rifki; Nugroho, Ginaldi Ari; Sopian, Sani Moch; Wardani, Sekar Ayu Kusuma
Educatio Vol 20 No 1 (2025): Educatio: Jurnal Ilmu Kependidikan
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edc.v20i1.29853

Abstract

This activity was organized with the aim of introducing the concept of renewable energy, particularly solar energy, to students of SMP Baitul Hikmah through the assembly of solar-powered toy cars. The program was designed to raise students' awareness of the importance of environmentally friendly energy while also enhancing their critical thinking skills and creativity in applying theory to practice. Throughout the activity, students actively participated in the assembly process and encountered various technical challenges that encouraged them to find solutions independently. As a result, the activity demonstrated an improvement in students' understanding of solar energy as well as the development of their creativity in completing assigned tasks.
Enhancing Binary Classification Performance in Biomedical Datasets: Regularized ELM with SMOTE and Quantile Transforms Focused on Breast Cancer Analysis Aina, Brilliant Friezka; Kallista, Meta; Wibawa, Ig. Prasetya Dwi; Nugroho, Ginaldi Ari; Meiska, Ivana; Naf’an, Syifa Melinda
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 9, No 2 (2024): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v9i2.28785

Abstract

Using microarray datasets, this research investigation addresses the problem of unbalanced data in binary classification tasks. The objective is to increase classification performance by adding Extreme Learning Machine (ELM) regularization, as well as Synthetic Minority Over-sampling Technique (SMOTE) for data over-sampling and Quantile Transformer for data scaling. The study began with gathering important biological datasets from reputable sources such as UCI and Kaggle, including Pima Indian Diabetes, Heart Disease, and Wisconsin Breast Cancer. SMOTE was employed to solve the difficulty of data imbalance in the preparation of the dataset. The data was then separated into training (80%) and testing (20%) sets before being scaled using Quantile Transformation. To boost accuracy, ELMs were employed with an emphasis on introducing regularization techniques. Quantile Transforms are used to generate a Gaussian or uniform probability distribution from numerical input variables. Regularized ELM (R-ELM) surpasses ELM in terms of AUC, despite ELM's faster calculation time. The final selection of the regularization parameter (C) in R-ELM influences the model's performance and calculation time. Overall, R-ELM with SMOTE produces encouraging results when it comes to effectively categorizing biological dataset properties. A subsequent investigation and validation of additional datasets, however, are necessary to establish its generalizability and robustness.
EDUKASI OTOMATISASI DAN ROBOTIKA DENGAN DEMONSTRASI DALAM KEGIATAN PENGABDIAN MASYARAKAT DI MTSN 1 GARUT Wiharso, Tri arif; Iksan, Akhmad Fauzi; Nurpadillah, Sifa; Nugroho, Ginaldi Ari; Sugandi, Gandi; Agnia, Raza; Khoirul, Ahmad; Fauzan, Sadam; Heryanto, Beni
Jurnal Abdi Insani Vol 12 No 9 (2025): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v12i9.2817

Abstract

The development of technology in the era of the Industrial Revolution 4.0 requires an increase in technological literacy from an early age, including at the junior high school level (SMP). One way to introduce the concept of technology is through automation and robotics education. Based on this, the lecturer and student team from the Electrical Engineering Study Program at the Faculty of Engineering, Garut University, conducted community service activities in the form of education and robotics awareness to 8 MTsN 1 Garut students on May 24, 2025, with a total of 69 participants. The purpose of this activity is to foster interest, insight, and basic understanding of students about the automation system and robotics technology. The method of implementing the activity consists of the delivery of automation and robotics materials, question and answer sessions, and demonstrations of tools in the form of Line Follower robot, robot soccer, and heavy monitoring and sheep height. The results showed high levels of student participation and enthusiasm. Students look active in asking questions and trying to run robots directly. The evaluation was carried out with a satisfaction questionnaire, which showed positive results: satisfaction with the relevance of the topic of 77.33%, how to deliver 80%resource persons, the implementation of activities 78.67%, and the benefits of activities 85.33%. It can be concluded that this educational activity can increase student awareness and interest in automation and robotics technology, and can be applied to become an effective and fun Stem learning model at the junior high school level.
PKM AWARE: PENINGKATAN KESADARAN KECERDASAN BUATAN PADA SISWA MAN 1 GARUT DALAM PENGGUNAAN MEDIA SOSIAL Nurfalah, Rifki; Wiharso, Tri Arif; Nurichsan, Irman; Sugandi, Gandi; Nugroho, Ginaldi Ari
Jurnal Abdi Insani Vol 13 No 4 (2026): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v13i4.3294

Abstract

The development of artificial intelligence (AI) is increasingly influencing various aspects of life, including education. However, high school students' understanding of the basic concepts and uses of AI is still relatively limited. Therefore, the AWARE (Awareness of AI) Community Service Activity (PKM) was held at MAN 1 Garut on May 6, 2025. This activity aims to increase students' awareness and initial understanding of the concepts, applications, and potential of AI in supporting the learning process in the digital era. The objective of this activity is to increase students' awareness and understanding of the basic concepts of artificial intelligence (AI), examples of its applications, and the potential and challenges of utilizing AI technology in the context of secondary education. The activity method uses an educational-participatory approach through an introduction to basic AI concepts, presentation of real-world application examples, and simple demonstrations. The activity was complemented by a question-and-answer session and interactive discussion, and was evaluated through a Likert-scale-based satisfaction survey attended by 59 respondents. The evaluation results showed a very positive response from the activity participants. A total of 52.5% of respondents gave a score of 4 for the relevance of the activity topic, while 51.7% of respondents gave a score of 4 for the aspect of the activity's usefulness. In addition, 25.9% of respondents gave the highest score (5), indicating a very good level of satisfaction with the program implementation. In terms of sustainability, 96.4% of respondents expressed their willingness to continue the collaboration in the next activity. All respondents also assessed that the community service activities carried out could be implemented in the partner environment, thus indicating that the PKM AWARE program is relevant, beneficial, and has the potential for sustainable development. In conclusion, this activity successfully achieved its goal of increasing student awareness and understanding of AI and opening up opportunities for further development through learning modules and workshops for teachers.
Co-Authors -, Halimurrahman Agnia, Raza Aina, Brilliant Friezka Fauzan, Sadam Heryanto, Beni Ig. Prasetya Dwi Wibawa Ikhsan, Akhmad Fauzi Iksan, Akhmad Fauzi Joko Suryana Khoirul, Ahmad Laras Tursilowati Meiska, Ivana Meta Kallista Naf’an, Syifa Melinda Nurfalah, Rifki Nurichsan, Irman Nurpalah, Rifki Rahayu, Soni Aulia Sifa Nurpadillah Sopian, Sani Moch Sugandi, Gandi Wardani, Sekar Ayu Kusuma Wiharso, Tri Arif