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PENYULUHAN ENERGI SOLAR SEBAGAI SUMBER ENERGI ALTERNATIF RAMAH LINGKUNGAN MENGGUNAKAN RANCANG BANGUN SOLAR TRACKER SUMBU TUNGGAL DENGAN METODE BACKPROPAGATION BERBASIS INTERNET OF THINGS (IOT) DI SMA NEGERI 1 SOOKO, MOJOKERTO Sukomardojo, Tekat; Sakti, Gunawan; Hartono, Hartono; I.S, Rifdian; Dwiyanto, Dwiyanto; Julaihah, Siti; Hariyadi, Slamet; Thiro Kabul Y, Yudhis
Journal of Public Transportation Community Vol. 4 No. 2 (2024): Journal Public Transportation Community Oktober 2024
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jptc.v4i2.1892

Abstract

Peningkatan permintaan energi listrik di Indonesia mendorong pemanfaatan energi terbarukan, khususnya energi surya pada pengembangan sistem pelacak matahari sumbu tunggal berbasis IoT untuk meningkatkan efisiensi pengumpulan energi surya. Sistem ini menggabungkan sensor cahaya, mikrokontroler, dan aktuator linear, serta menerapkan algoritma backpropagation untuk mengoptimalkan posisi panel surya berdasarkan perubahan intensitas cahaya. Para dosen Program Studi D3 Teknik Listrik Bandara Politeknik Penerbangan Surabaya mengadakan kegiatan pengabdian kepada masyarakat yang merupakan bagian dari tri dharma perguruan tinggi dengan melakukan penyuluhan energi solar sebagai sumber energi alternatif ramah lingkungan menggunakan rancang bangun solar tracker sumbu tunggal dengan metode Backpropagation berbasis Internet of Things (IoT). Kegiatan ini dilaksanakan di SMA Negeri I Sooko Mojokerto pada tanggal 11 September 2024 dengan peserta dari siswa-siswi sebanyak 95 orang dan didapatkan kesimpulan bahwa kegiatan penyuluhan terlaksana dengan baik dengan memperoleh hasil Quiz Pre-Test Kahoot sebelum dilakukan penyuluhan didapatkan nilai rata-rata pemahaman sebanyak 65% kemudian setelah dilakukannya penyuluhan Quiz Post-Test Kahoot didapatkan nilai rata-rata pemahaman sebesar 88%. Berdasarkan hasil kuis sebelum dan sesudah sosialisasi, terjadi peningkatan pemahaman siswa sebesar 23% mengenai sistem solar tracker sumbu tunggal dengan metode Backpropagation berbasis Internet of Things (IoT). Hasil ini membuktikan bahwa kegiatan sosialisasi yang dilakukan telah mencapai tujuannya.
PENYULUHAN ENERGI SOLAR SEBAGAI SUMBER ENERGI ALTERNATIF RAMAH LINGKUNGAN MENGGUNAKAN PROTOTIPE SMART PHOTOVOLTAIC SOLAR CHARGING SYSTEM DALAM BENTUK SOLAR TRACKER MENGGUNAKAN KONTROL LOGIKA FUZZY DI SMA NEGERI 1 SOOKO, MOJOKERTO Sakti, Gunawan; Hariyadi, Slamet; Hartono, Hartono; I.S, Rifdian; Dwiyanto, Dwiyanto; Julaihah, Siti; Sukomardojo, Tekat; Thiro K.Y., Yudhis
Journal of Public Transportation Community Vol. 5 No. 1 (2025): Journal Public Transportation Community April 2025
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jptc.v4i1.1890

Abstract

Energi terbarukan adalah pilihan energi yang lebih sehat untuk bumi karena berasal dari alam dan tidak terbatas, energi ini bisa mengurangi polusi dan ketergantungan kita pada bahan bakar fosil yang semakin menipis. Para dosen Program Studi D3 Teknik Listrik Bandara Politeknik Penerbangan Surabaya mengadakan kegiatan pengabdian kepada masyarakat yang merupakan bagian dari tri dharma perguruan tinggi dengan melakukan penyuluhan energi solar sebagai sumber energi alternatif ramah lingkungan menggunakan prototipe smart photovoltaic solar charging system dalam bentuk solar tracker menggunakan kontrol logika fuzzy. Kegiatan ini dilaksanakan di SMA Negeri I Sooko Mojokerto pada tanggal 11 September 2024 dengan peserta dari siswa-siswi sebanyak 95 orang dan didapatkan kesimpulan bahwa kegiatan penyuluhan terlaksana dengan baik dengan memperoleh hasil Quiz Pre-Test Kahoot sebelum dilakukan penyuluhan didapatkan nilai rata-rata pemahaman sebanyak 68% kemudian setelah dilakukannya penyuluhan Quiz Post-Test Kahoot didapatkan nilai rata-rata pemahaman sebesar 93%. Setelah dievaluasi dari Quiz Pre-Test dan Post-Test Kahoot kegiatan sebelum dan sesudah dilakukannya penyuluhan pemahaman para siswa meningkat sebesar 25%. Dengan hasil ini diharapkan bisa menjadi bekal buat para siswa SMA Negeri 1 Sooko, Mojokerto mengenai pemahaman tentang prototipe smart photovoltaic solar charging system dalam bentuk solar tracker menggunakan kontrol logika fuzzy.
Analysis of the Effect of Unbalanced Load on Neutral Current, Power Losses and Efficiency in Distribution Transformer Hartono Hartono; Rifdian Indrianto Sudjoko; Slamet Hariyadi; Tekat Sukomardojo; Siti Julaihah
Journal of Research in Social Science and Humanities Vol 5, No 1 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i1.370

Abstract

630 kVA, 20 kV/400 Volt transformer is a distribution transformer that supplies electrical loads at the Aviation Polytechnic of Surabaya. In a distribution transformer if the inter phase load is unbalanced there will be a neutral current flowing in the neutral wire.  This load imbalance is caused by single-phase loads on a 220 Volt low voltage network. The current flowing in the neutral of this transformer causes losses, namely due to the presence of neutral current in the neutral conductor of the transformer and losses due to neutral current flowing to the ground. After analyzing the peak load during the day of 79.92% and load imbalance during the day of 12.23%, then there is a neutral current of 181 Amperes and losses due to neutral currents flowing to the ground of 7, 26%, and transformer efficiency  at the day of 88.5 %.
Power Analysis Of A 100 Watt Micro Hydro Power Generator Using An Internet Of Things (IoT) Web Services Based On The Code Igniter Framework Yudhis Thiro Kabul Yunior; Hartono Hartono; Slamet Hariyadi; Dwiyanto Dwiyanto; Tekat Sukomardojo; Surya Widdana
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1633

Abstract

Small-scale Microhydro power plants (100 Watt) require a real-time and accurate power monitoring system to improve efficiency and maintenance. This research aims to develop an Internet of Things (IoT)-based electrical power analysis system by utilizing a Web Service based on the CodeIgniter Framework to process and display data online. The system consists of sensor modules (voltage and current) using ZMPT101B and ACS712, an ESP32 microcontroller for data transmission, and a CodeIgniter backend that provides a RESTful API for data storage and processing. Power (P), voltage (V), current (I), and energy (kWh) data are displayed on a web dashboard with graphic visualization using Chart.js. The research method uses a Research and Development (R&D) approach with stages of needs analysis, system design, implementation, and testing. The test results show that the system is able to monitor power with 95% accuracy compared to digital multimeter measurements, and has a data transmission latency of <2 seconds. This solution can be applied to small-scale Microhydro power plants for IoT-based monitoring with low cost and high scalability.
The Role of AI in Scaling Global Access to Quality Education in Low-Resource Regions Gilang Kartika Hanum; M. Syahputra; Wiwid Suryono; Bernardus Agus Rukiyanto; Slamet Hariyadi
Journal Emerging Technologies in Education Vol. 2 No. 5 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jete.v2i5.1366

Abstract

Background. In the digital age, emojis have evolved from simple pictographs into a global communication tool, transcending language barriers. As the world seeks to scale access to quality education, particularly in low-resource regions, artificial intelligence (AI) has emerged as a key enabler in overcoming these barriers. The role of emojis in enhancing digital literacy and educational communication in these regions remains underexplored. Purpose. This study investigates the potential of emojis, supported by AI-driven systems, to improve educational accessibility and engagement in low-resource areas. Method. The research aims to explore how AI can leverage emojis as a universal language tool to enhance learning experiences and bridge communication gaps in diverse linguistic and cultural contexts. A mixed-method approach was employed, combining qualitative interviews with educators and students, and quantitative analysis of educational platforms utilizing emoji-based learning interfaces. The study focused on low-resource regions where traditional educational tools are less accessible. Results. Results indicated that emoji-based communication, when integrated with AI-driven educational tools, significantly improved engagement and comprehension among learners, particularly in multilingual environments. Students reported a deeper connection to content and higher motivation to learn, while educators found it easier to communicate complex concepts using visual aids like emojis. The study suggests that AI-supported emoji language can be a scalable solution for improving educational access in underserved regions. Conclusion. In conclusion, the study suggests that adaptive learning algorithms In conclusion, the findings highlight the potential of AI and emojis to revolutionize educational communication in low-resource areas. By leveraging emojis as a universal language, AI can contribute to narrowing the global education gap and fostering inclusive learning.