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Increasing Teacher Professionalism at SMK Negeri Penerbangan Aceh Through Training Scientific Writing and Scientific Work Development: Meningkatkan Profesionalisme Guru di SMK Negeri Penerbangan Aceh Melalui Pelatihan Tata Tulis Ilmiah dan Pengembangan Karya Ilmiah Yuwaldy Away; Saminan; Rika Sri Utami; Safrizal Razali; Melinda; Muslimsyah
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 7 No. 3 (2023): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

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

Abstract

SMK Negeri Penerbangan Aceh is one of the educational institutions in the Aceh region that focuses on vocational education. In this community service initiative, the team identified the challenges faced by teachers at this school, as the lack of motivation and time constraints in writing academic papers. In an effort to address these issues, the team designed and implemented a training program that encompasses academic writing techniques and the use of research software. The evaluation results show a significant improvement in the motivation, self-confidence, and knowledge of teachers related to academic paper writing. This program also facilitates collaboration among teachers, members of the team, and guest speakers. This collaboration provides emotional support and a deeper understanding of research strategies and the application of technology in developing academic papers. The contribution of this community service initiative aids teachers at SMK Negeri Penerbangan Aceh in enhancing their ability to write academic papers, which supports the requirements for promotion and professional career advancement. This training program also has the potential to be implemented in other educational institutions facing similar challenges in improving teacher professionalism.
Optimization of Solar Panel Installation Potential Mapping Based on Convolutional Neural Network Maulisa Oktiana; Rika Sri Utami; Ilham Maulana; Annisa Gusti Ananda
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 2, May 2026
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v11i2.2584

Abstract

The increasing global energy demand and the depletion of fossil fuel resources have accelerated the transition toward renewable energy. Solar energy is considered one of the most promising sustainable energy sources. However, identifying suitable locations for solar panel installation remains challenging due to geographic and environmental variability across different regions. This study proposes a Convolutional Neural Network (CNN)-based approach to map potential solar panel installation areas using high-resolution satellite imagery. The model is designed to extract spatial features from land surfaces, including land cover characteristics, building density, and reflectance patterns derived from Sentinel-2 imagery obtained through Google Earth Engine. The proposed framework utilizes a VGG19-based architecture with transfer learning to improve feature extraction and classification performance. Experimental results demonstrate that the proposed model achieves an accuracy of 94.2% in classifying areas suitable for solar panel installation. These findings indicate that deep learning–based spatial analysis can provide an effective approach to support large-scale solar energy planning and decision-making.
Adaptive P&O algorithm for fast and acurate maximum power point tracking for PV system Fathurrahman Fathurrahman; Rika Sri Utami; Akhyar Akhyar; Khairun Saddami
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 2: June 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i2.pp590-599

Abstract

In this study, we proposed an adaptive perturb and observe (P&O) algorithm designed for efficient maximum power point tracking (MPPT) in photovoltaic (PV) systems. This method addresses key challenges in solar energy systems, including variability in solar irradiation and partial shading conditions. The proposed method introduced a dynamic and adaptive in adjusting the step size of the P&O as it nears the maximum power point (MPP), enhancing tracking precision and reducing energy losses. To show the ability of the proposed, we compared it with the conventional P&O and GWO & P&O. The proposed adaptive P&O MPPT algorithm consistently maintains near ideal tracking efficiency of ≈99.7% across various irradiance scenarios, significantly outperforming conventional P&O, which drops to 74.45% under partial shading. Overall, it achieves an average efficiency of 99.71%, surpassing hybrid P&O GWO (99.52%) and conventional P&O (91.30%), demonstrating superior reliability and energy harvesting performance. The results indicated that the proposed could reduce power deviations and obtain greater accuracy in detecting MPP. The study confirms the method's potential for optimizing energy extraction and suggests further refinement for broader applicability. This advancement represents a significant step in enhancing the reliability and efficiency of PV systems in both grid-connected and off-grid applications.
Implementasi Urban Farming Berbasis Energi Terbarukan Menggunakan Sistem Hidroponik di BUMG Pelita Jaya Gampong Barabung Riski Arifin; T. Arriessa Sukhairi; Arief Gunawan; Syaubari; Rika Sri Utami; Nur Irhamni Sabrina; Okpri Meila; Dhea Nur Fadhilah
PESARE: Jurnal Pengabdian Sains dan Rekayasa Vol. 4 No. 2: Juni 2026
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/pesare.v4i2.2037

Abstract

Gampong Barabung, Aceh Besar Regency, has considerable agricultural potential, but the application of modern agricultural technology is still relatively limited. This activity aims to design, build, and implement a solar-based hydroponic system as an alternative to sustainable plant cultivation at the village level. The implementation method includes location surveys, hydroponic installations, solar system installations, and assistance and system evaluation. The results of the activity show that an NFT hydroponic system with a capacity of 120 planting holes has been successfully built which is directly integrated with a solar panel with a capacity of 150 Wp as an energy source for a nutrient circulation pump. The system built can operate well and be used for vegetable cultivation. The results of the implementation show that the integration of hydroponic technology and solar energy can be applied well and has the potential to support more efficient and environmentally friendly agricultural practices at the village level.