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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar International Journal of Electrical, Energy and Power System Engineering (IJEEPSE)
Ihsan, M. Nurul
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Other

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Application of Quizzes “BelajarKuy” for Junior High School Based on Android Nasien, Dewi; Adiya, M. Hasmil; Sirait, Andrio Pratama; Ihsan, M. Nurul; Wicaksono, Mahfuzan Hadi
International Journal of Electrical, Energy and Power System Engineering Vol. 2 No. 3 (2019): International Journal of Electrical, Energy and Power System Engineering (IJEEP
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (620.313 KB) | DOI: 10.31258/ijeepse.2.3.1-4

Abstract

In today’s social life, many children to students use gadgets in their daily life. Their gadgets are used mostly android. Android is utilized for all activities namely, games, social media, and others. Besides, the gadget also can be used for education such as quizzes. In this paper, BelajarKuy is proposed for education, especially for junior high school. BelajarKuy is a quiz application based on Android and it uses Java programming language. BelajarKuy contains some questions that are useful for sharpening the brains for students and teachers. Besides, BelajarKuy contains several quizzes which are Mathematics, Bahasa Indonesia, English, Science, Religion, Civic Education, and Social Education. Each quiz has twenty questions and there are four answer choices namely, A, B, C and D. However, it has a solution to the question. At the end of this quiz, students can see scores for all right and wrong questions. This is very helpful in preparing them before an exam that will be given by teachers.
DESIGN OF AN AI-INTEGRATED RENEWABLE ENERGY SMART ELECTRIC FENCE FOR RAT PEST MITIGATION Bianto, Mufti Ari; Ihsan, M. Nurul; Umam, Khairul
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 04 (2025): Volume 10 No. 04 Desember 2025 Published
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i01.43196

Abstract

Rat infestations in rice crops in Indonesia cause losses of approximately 5% of total national production, equivalent to 4 million tons per year, with an estimated value of IDR 18 trillion. Conventional methods such as chemical poisons and electric traps have limitations and pose risks to the environment and human safety. This study develops a Smart Electric Fence powered by renewable energy and integrated with Artificial Intelligence for safe and sustainable rat pest mitigation. The human and rat detection system applies a Convolutional Neural Network (CNN) approach using the YOLOv8 algorithm, implemented on a Raspberry Pi to automatically control the electric fence relay. The system is powered by solar panels. A dataset of 7,712 images was divided into training, validation, and testing sets. Evaluation results show 64.4% precision, 100% recall, and 64.4% accuracy, enabling real-time object detection.
Co-Authors Adiya, M. Hasmil Dewi Nasien Khairul Umam Mufti Ari Bianto Sirait, Andrio Pratama Wicaksono, Mahfuzan Hadi