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DESIGNING A MOTORCYCLE SECURITY SYSTEM WITH INTERNET OF THINGS (IOT) AND BLUETOOTH TECHNOLOGY USING NODEMCU Dody Wahjudi; Akhmad Fatkhi Rahmawan; Kholistianingsih Wahjudi; Isra’ Nuur Darmawan
Journal of Electronic and Electrical Power Applications Vol. 3 No. 1 (2023): JEEPA Volume 3 Nomor 1
Publisher : Program Studi Teknik Elektro Universitas Peradaban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58436/jeepa.v3i1.1487

Abstract

The increase in motorcycle sales means that almost all people in the community can own a motorcycle, but if the development is not balanced with a security system, the theft rate becomes very high. Because in general, motorcycles use conventional locks that are easily damaged by thieves using a T lock. In this study, a motorcycle security system was created that combines Internet of Things technology with Bluetooth technology and is equipped with GPS (Global Positioning System).The microcontroller used is NodeMCU, the application of IoT and Bluetooth media and GPS is used for communication between the device and the Android Smartphone application. For its output using a relay module, the relay functions to turn on/off the contacts and motorcycle horn by giving commands through the application as a data sender. The GPS module will provide data on the coordinates of the motorcycle's location which is displayed on the GPS application of the tool.After testing the entire system, both applications and a series of components have different responses. IoT media has a response that depends on the internet connection used. the response of turning on the contact is 0.89 seconds and the horn is 0.89 seconds, turning off the contact is 0.84 seconds and the horn is 1.05 seconds. The bluetooth media response is turning on the contact which is 0.94 and the horn is 0.42 seconds, turning off the contact is 0.69 seconds and the horn is 1.10 seconds. In the GPS system, the difference in distance between the GPS device and the GPS smartphone is 2.67 meters.
DESIGN AND BUILD A SECURITY PARKING SYSTEM BASED ON ARDUINO PRO MICRO AND INTERNET OF THINGS Susanto; Priyono Yulianto; Dody Wahjudi; Isra’ Nuur Darmawan
Journal of Electronic and Electrical Power Applications Vol. 3 No. 1 (2023): JEEPA Volume 3 Nomor 1
Publisher : Program Studi Teknik Elektro Universitas Peradaban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58436/jeepa.v3i1.1488

Abstract

This research is motivated by the problem that since the outbreak of the corona virus in Indonesia, many efforts have been made by the government to prevent the corona virus starting from special regulations with health protocols and the creation of new prevention tools. Problems are not only with the corona virus but security in motorbike and car parking lots which can cause many problems, ranging from theft and misunderstanding. From these problems the researchers created a security system for preventing corona viruses and crime in parking lots, the system created combines the Arduino pro micro and nodemcu microcontrollers as IOT devices that function to send RFID and ESP32Cam readings to a webserver in the form of data, the MLX90614 sensor as a human temperature reading . After testing the temperature sensor used in this study has an accuracy similar to that of a thermogun and digital thermometer with a difference of 0.044ºC and 0.136ºC, the webserver can display the result data from RFID and ESP32Cam readings, comparison of the sensor responses at the entrance has an average result the average response with a difference in time is 0.93 seconds, while at the exit the average difference in time is 1.154 seconds and both of them can open the door latch
Applying Artificial Intelligence Algorithms for Optimalizing The Electricity Distribution Network Susatyo Adhi Pramono; Endang Sri Wahyuningsih; Basuki; Isra’ Nuur Darmawan; Muhammad Edwin Rachmanudin
Journal of Embedded Systems, Security and Intelligent Systems Vol 5, No 3 (2024): November 2024
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v5i3.4299

Abstract

Abstract: This research aims to apply artificial intelligence (AI) algorithms to optimize the electricity distribution network, focusing on improving efficiency, responsiveness, and integration of renewable energy. Deep learning and reinforcement learning algorithms are used to learn energy load patterns and adjust distribution in real-time. Through simulation of the electricity distribution network, this research found a 15% increase in energy efficiency, a reduction in response time by 85%, a 10% increase in maximum load capacity, and a 25% increase in the use of renewable energy. Additionally, operational costs of the network decreased by 12% due to automation generated by AI. The innovation of this research lies in the efficient integration of renewable energy sources and load management through more accurate prediction. The research results show that applying AI in the electricity distribution network can provide an effective and sustainable solution to reduce power loss and operational costs, as well as support the use of renewable energy. Therefore, this research contributes to the development of a smarter and more environmentally friendly electricity distribution system.
Rancang Bangun Generator Fluks Axial Magnet Permanen Satu Phasa Sistem 24 V dan 48 V pada Pembangkit Listrik Tenaga Bayu Isra' Nuur Darmawan; Alif, Muhamad; Kholistianingsih, Kholistianingsih
J-Proteksion: Jurnal Kajian Ilmiah dan Teknologi Teknik Mesin Vol. 8 No. 2 (2024): J-Proteksion
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jp.v8i2.1129

Abstract

Energi listrik merupakan salah satu kebutuhan dasar manusia setelah pemenuhan papan, sandang, dan pangan. Tahun ke tahun, penggunaan bahan bakar fosil khususnya minyak masih sangat dominan dibandingkan dengan bahan bakar lainnya. Para ahli berasumsi bahwa ketersediaan energi fosil akan berakhir dalam beberapa tahun mendatang. Energi angin termasuk salah satu dari kontributor penting bagi jaringan listrik modern sebagai energi yang ramah lingkungan. Beberapa upaya telah dilakukan oleh berbagai pihak untuk mengatasi permasalahan ini. Perlunya pembangkit listrik tenaga hibrid (PLTH) merupakan salah satu dari upaya penggunaan bahan bakar fosil, batu bara, gas alam dan minyak. Pembangkit listrik tenaga hibrid merupakan gabungan dari dua atau lebih sumber daya yang dapat diubah menjadi listrik. PLTH yang umum digunakan adalah tenaga surya dan tenaga bayu atau angin. Komponen yang digunakan untuk merubah energi angin menjadi energi listrik yaitu generator. Tujuan penelitian ini yaitu untuk membandingkan generator sistem 24 v dan 48 v. Data yang diperoleh dari pengujian selama 6 hari dimana 3 hari untuk generator sistem 24 v dan 3 hari untuk generator sistem 48 v, sehingga dapat diketahui perbedaan output yang dihasilkan generator. Hasil penelitian ini menunjukkan, bahwa generator sistem 24 v menghasilkan daya rata-rata selama 3 hari sebesar 17,96 w dan daya rata-rata selama 3 hari sebesar 45,92 w pada sistem 48 w. Efisiensi yang didapatkan pada generator sistem 24 v yaitu 99,6% dan 99,4% pada sistem 48 v.
Rancang Bangun Generator Axial Flux Magnet Permanen 1 Fasa Sistem 12v pada Pembangkit Listrik Tenaga Pikohidro Isra' Nuur Darmawan; Kholistianingsih, Kholistianingsih; Saputra, Aldora Apriliantomo; Abidin, Asroful
J-Proteksion: Jurnal Kajian Ilmiah dan Teknologi Teknik Mesin Vol. 10 No. 1 (2025): J-Proteksion
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/jp.v10i1.3618

Abstract

Kebutuhan energi listrik yang terus meningkat dapat dipenuhi melalui sumber energi terbarukan seperti air. Pembangkit Listrik Tenaga Pikohidro (PLTPH) memanfaatkan aliran air untuk menggerakkan turbin dan generator, cocok untuk daerah terpencil. Penelitian ini bertujuan merancang bangun generator axial flux magnet permanen 1 fasa sistem 12V dan menganalisis performa input-output serta pengaruh torsi terhadap daya. Perancangan dilakukan menggunakan perangkat lunak MagNet Infolytica dengan konfigurasi 12 slot, 10 pole, dan magnet NdFeB. Hasil simulasi menunjukkan daya keluaran rata-rata sebesar 282,2 W pada kecepatan 1000 rpm. Pengujian selama dua hari menunjukkan efisiensi tinggi. Hari pertama daya input 10,238 W dan output 10,235 W, hari kedua input 11,127 W dan output 11,113 W. Torsi meningkat dari 0,24515 Nm (12,67 W) menjadi 0,34707 Nm (18 W). Hasil menunjukkan desain berhasil direalisasikan dan peningkatan torsi serta kecepatan air meningkatkan efisiensi sistem.
Optimalisasi Pemanfaatan Energi Surya untuk Kemandirian Energi Rumah Tangga di Wilayah Pesisir Desa Jetis Kecamatan Nusawungu Kabupaten Cilacap: Pengabdian Susatyo Adhi Pramono; Endang Sri Wahyuningsih; Isra’ Nuur Darmawan; Dadi Tri Awan Selalatu; Irawan Dharma Sukowati
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3465

Abstract

This community service program aims to optimize the use of renewable energy through the development of household-scale Solar Power Plants (PLTS) in Jetis Village, Nusawungu District, Cilacap Regency. The initiative is motivated by the limited access to stable electrici7. The implementation method adopts a participatory approach that directly involves the local community in every stage—from identifying energy needs, providing technical training, and installing the solar power system, to establishing a local energy management institution. The results show that the implementation of a PLTS system with a capacity of 450–500 Wp can meet up to 75–85% of household electricity needs and reduce electricity expenses by 35–40%. In addition, there was an increase in the community’s knowledge and awareness of clean energy, indicated by a 37% average improvement in energy literacy scores after the training. Socially, the formation of the Papringan Village Energy Group serves to ensure the sustainability of the system and strengthen community solidarity in energy management. The program also positively impacts local economic activities, particularly small household businesses in seafood processing and culinary sectors.