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Rancang Bangun Emergency Box Berbasis Solar Panel di Lingkungan Pondok Pesantren Raudlatul Ulum Kalisat Jember Aziz, As'ad Shidqy; Widyartono, Mahendra; Wardani, Ayusta Lukita; Rahmadian, Reza; Hermawan, Aditya Chandra; Rahmatullah, Daeng; Amaliah, Fithrotul Irda
PEDULI: Jurnal Ilmiah Pengabdian Pada Masyarakat Vol 9 No 2 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37303/likhitaprajna.v9i2.740

Abstract

This community service activity aims to design and implement a solar panel-based Emergency Box as a learning medium and emergency power supply solution at the Raudlatul Ulum Islamic Boarding School, Kalisat, Jember. This activity was motivated by limited electrical facilities and minimal learning practice facilities within the Islamic boarding school environment. The implementation method included literature study, needs analysis, system design, tool assembly, and outreach and mentoring activities for teachers and students. The results of the activity showed that the designed Emergency Box was able to function optimally as an alternative power source for lighting and charging electronic devices. Through training and mentoring, teachers and students gained an understanding of the working principles of solar energy as well as technical skills in operating and maintaining the device. This activity is expected to improve the quality of practice-based learning and raise awareness of the importance of using renewable energy in the Islamic boarding school environment
Monitoring Battery Charging Using Node-RED Nur Vidia Laksmi B.; Muhammad Syahril Mubarok; Reza Rahmadian; Mahendra Widyartono; Ayusta Lukita Wardani; Aditya Chandra Hermawan; Muhammad Abdus Salam
Vokasi UNESA Bulletin of Engineering, Technology and Applied Science Vol. 1 No. 1 (2024)
Publisher : Universitas Negeri Surabaya or The State University of Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/vubeta.v1i1.33917

Abstract

The need for a smart grid has been spurred by the growth of distributed generation, the aging of the current grid infrastructure, and the desire to alter networks. The development and enhancement of smart grid technology is significantly facilitated by the Internet of Things (IoT) technology. Batteries play a crucial role in the energy storage of electrical systems, including smart microgrids and electric vehicles. To enhance performance and prolong battery life, a Battery Monitoring System (BMS) is required to manage the energy storage process dynamics within the battery. Battery life prediction contributes to the consistent and efficient operation of battery-powered devices. This research presents battery charging monitoring using Nodered. Apart from that, the battery charging feature uses a cut-off concept. The cut off on the battery is to prevent the battery from over-discharging which can damage the battery and shorten its lifespan. This research carried out validation using 3 case studies on battery charging. Validation of measurements uses a comparison between the INA 219 sensor and a multimeter. From experiments, current testing from 3 case studies, it was found that the average difference in current sensor error was 0.19%.
Improving Neural Network Based on Seagull Optimization Algorithm for Controlling DC Motor Widi Aribowo; Supari Muslim; Fendi Achmad; Aditya Chandra Hermawan
Jurnal Elektronika dan Telekomunikasi Vol. 21 No. 1 (2021)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/jet.v21.48-54

Abstract

This article presents a direct current (DC) motor control approach using a hybrid Seagull Optimization Algorithm (SOA) and Neural Network (NN) method. SOA method is a nature-inspired algorithm. DC motor speed control is very important to maintain the stability of motor operation. The SOA method is an algorithm that duplicates the life of the seagull in nature. Neural network algorithms will be improved using the SOA method. The neural network used in this study is a feed-forward neural network (FFNN). This research will focus on controlling DC motor speed. The efficacy of the proposed method is compared with the Proportional Integral Derivative (PID) method, the Feed Forward Neural Network (FFNN), and the Cascade Forward Backpropagation Neural Network (CFBNN). From the results of the study, the proposed control method has good capabilities compared to standard neural methods, namely FFNN and CFBNN. Integral Time Absolute Error and Square Error (ITAE and ITSE) values from the proposed method are on average of 0.96% and 0.2% better than the FFNN and CFBNN methods.
PELATIHAN PENGGUNAAN DAN PEMELIHARAAN PEMBANGKIT TENAGA SURYA PADA DESA BEGAN, KECAMATAN GLAGAH, KABUPATEN LAMONGAN JAWA TIMUR Ayusta Lukita Wardani; Mahendra Widiyartono; widi aribowo; Reza Rahmadian; Aditya Chandra Hermawan; Nur Vidia Laksmi B; Daeng Rakhmatullah; As'ad Shidqy Aziz; Fithrotul Irda Amaliah; Alfarid Hendro Yuwono
Jurnal Lintas Karsa Vol. 2 No. 1 (2025): Jurnal Lintas Karsa (November 2025)
Publisher : S1 Teknik Mesin Fakultas Teknik. Universitas Negeri Surabaya Gedung A6 Kampus UNESA Ketintang Surabaya 60231

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/lintaskarsa.v2i01.74039

Abstract

Pemanfaatan energi surya merupakan salah satu solusi strategis dalam meningkatkan kemandirian energi dan kualitas fasilitas umum di wilayah pedesaan. Desa Began, Kecamatan Glagah, Kabupaten Lamongan, Jawa Timur, memiliki potensi energi surya yang cukup besar, namun pemanfaatan dan pemeliharaan sistem pembangkit listrik tenaga surya (PLTS) masih menghadapi keterbatasan pengetahuan dan keterampilan masyarakat. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas masyarakat dalam penggunaan dan pemeliharaan PLTS, khususnya PLTS Penerangan Jalan Umum (PJU), melalui pelatihan dan pendampingan teknis. Metode pelaksanaan meliputi survei awal pada fasilitas desa, yaitu masjid, jalan desa, dan area pemakaman, untuk menentukan lokasi penempatan yang tepat, dilanjutkan dengan pelatihan penggunaan dan pemeliharaan PLTS yang dilengkapi dengan pretest dan posttest sebagai instrumen evaluasi. Selain itu, masyarakat dibekali dengan buku saku sebagai panduan praktis penggunaan, pemeliharaan, dan penanganan gangguan (troubleshooting). Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan antusiasme masyarakat terhadap pemanfaatan energi surya, yang tercermin dari peningkatan hasil posttest serta partisipasi aktif peserta selama pelatihan. Kegiatan ini diakhiri dengan serah terima PLTS PJU dan buku saku kepada masyarakat Desa Began sebagai luaran nyata kegiatan pengabdian. Secara keseluruhan, kegiatan ini berkontribusi terhadap pencapaian SDG 7 (Energi Bersih dan Terjangkau),dan SDG 11 (Kota dan Permukiman Berkelanjutan) melalui peningkatan kemandirian energi dan kapasitas masyarakat desa.
Sistem Pemantauan Panel Listrik 3 Fasa Untuk Pengukuran Energi Listrik Berbasis ESP32 Sobri Rizaldi Subroto; Aditya Chandra Hermawan; Mahendra Widyartono; Fithrotul Irda Amaliah; Ayusta Lukita Wardani
Elposys: Jurnal Sistem Kelistrikan Vol. 13 No. 2 (2026): ELPOSYS VOL. 13 NO.2 (2026)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v13i2.9439

Abstract

Electricity consumption continues to increase as electronic equipment is used, resulting in rising monthly electricity bills. The background to this title stems from an electricity consumption survey. The survey team encountered difficulties monitoring electricity usage on the electrical panels in each building. The urgency of this research is to facilitate monitoring of electricity usage on three-phase electrical panels that can be easily installed and removed for use in various electrical panels The electrical energy data is accumulated from all three phases every second to determine the total electrical energy consumption across all three phases, the ESP32 microcontroller is also used as the brain for controlling the transmission and recording data in a Google spreadsheet for data storage.The results of the electrical energy measurement test, comparing the designed device with  3-phase kWh meter over six days of testing, revealed that the error value of the designed device was 0.26%, which is the maximum error value stipulated error limit of ±1%. This indicates that the designed measuring instrument has a high level of accuracy and meets international measuring instrument standards, with an average accuracy of 99.74%. The IEC 62053-21 standard is an international reference standard that regulates the accuracy and error limits for electrical energy meters (kWh meters). These results indicate that the designed electrical energy monitoring device is capable of performing well and accurately, approaching the values ​​of standard electrical energy meters (kWh meters).
Tongkat Pintar ESP32 dengan Deteksi Hambatan Multiarah dan Audio-Haptik Adaptif bagi Tunanetra Gilang Permana; Reza Rahmadian; Aditya Chandra Hermawan; Mahendra Wisyartono; Ayusta Lukita Wardani
Elposys: Jurnal Sistem Kelistrikan Vol. 13 No. 2 (2026): ELPOSYS VOL. 13 NO.2 (2026)
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elposys.v13i2.9552

Abstract

Mobility is a major challenge faced by people with visual impairments in their daily activities. Conventional white canes commonly used still have limitations in detecting obstacles, especially those above ground level and uneven road surfaces. This study aims to develop an ESP32-based smart cane capable of detecting obstacles and road surface conditions while providing effective warnings to users. The system employs multiple ultrasonic sensors positioned at the front, left, right, and bottom of the cane. Sensor data are processed by the ESP32 microcontroller and conveyed through vibration and audio feedback. The research method includes hardware design, software development, and system testing covering sensor accuracy and response time evaluation. The test results indicate that the proposed system achieved obstacle detection with sensor error rates ranging from 0.2% to 0.6% and response times ranging from 0.7 s to 1.2 s, demonstrating reliable performance for mobility assistance. Therefore, the proposed smart cane has the potential to improve safety and independence for people with visual impairments during walking activities.
Perancangan Sistem Iot Untuk Deteksi Dan Mitigasi Kondensasi Pada Panel Sdp Melalui Pemantauan Kelembapan Dan Suhu Permukaan Dalanta Riski Permana Tarigan; Aditya Chandra Hermawan
Jurnal Ilmu Ekonomi, Pendidikan dan Teknik Vol. 3 No. 5 (2026): IDENTIK - September
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/identik.v3i5.1983

Abstract

Condensation inside Sub Distribution Panels (SDPs) is one of the major causes of reduced electrical distribution system reliability, leading to corrosion, insulation degradation, and short circuits. This study proposes an Internet of Things (IoT)-based system for detecting and mitigating condensation risk by monitoring internal relative humidity (RH_in) and panel surface temperature (T_surface). The system employs an SHT31 sensor and a DS18B20 sensor for data acquisition, an ESP32 microcontroller as the main controller, and a Mamdani fuzzy logic algorithm to determine the operating level of a PTC heater. A blower is controlled using an interlocking strategy to ensure uniform heat distribution inside the panel. Sensor readings and actuator status are transmitted to an IoT platform for real-time monitoring and historical data logging. System evaluation includes sensor accuracy testing, fuzzy logic validation, actuator performance testing, and integrated system testing. The expected results demonstrate that the proposed system can detect potential condensation conditions at an early stage, provide adaptive control responses, and improve the reliability  and  operational  safety  of  SDP  panels  through  effective  condensation  mitigation.  
Sistem Monitoring dan Pembatas Stop Kontak Dengan Early Warning Berbasis Node-RED dan Telegram Muhammad Rizal Izzuddin; Aditya Chandra Hermawan; Mahendra Widyartono; Daeng Rahmatullah
Journal of Science and Engineering Vol. 2 No. 2 (2026)
Publisher : CV. Akira Java BUlu

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

Abstract

Pada sebagian rumah kos lama, satu kWh meter dan satu MCB masih digunakan untuk beberapa kamar sehingga konsumsi energi setiap kamar sulit dipantau secara terpisah dan penggunaan arus pada satu kamar belum tentu mencapai karakteristik pemutusan MCB utama. Penelitian ini mengembangkan sistem pemantauan dan pembatas arus pada satu stop kontak lokal berbasis Internet of Things. Sistem menggunakan ESP32, sensor PZEM-004T, relai, LCD, keypad 4×4, Node-RED, Telegram, dan Google Spreadsheet. Peringatan dini diberikan ketika arus mencapai 90% dari batas yang diatur, sedangkan pemutusan dilakukan ketika arus lebih bertahan selama 2 detik. Batas arus dapat diatur pada rentang 0,50–3,00 A. Hasil pengujian menunjukkan rata-rata kesalahan pengukuran tegangan sebesar 0,07% dan arus sebesar 3,43%. Pada rentang arus 1,68–3,67 A, kesalahan pengukuran berada pada 0,00–1,19%. Waktu tunda internal ESP32 tercatat konsisten sebesar 2,00 detik, sedangkan waktu respons keseluruhan berada pada rentang 3,83–4,77 detik dengan rata-rata 4,26 detik. Sistem mampu beroperasi lebih dari 48 jam dan seluruh fungsi pemantauan serta kontrol melalui Telegram dan Node-RED berhasil pada jarak pengujian hingga 2,5 km. Hasil tersebut menunjukkan bahwa prototipe mampu menjalankan fungsi pemantauan, pembatasan, pencatatan energi, dan kontrol jarak jauh pada kondisi pengujian.
RANCANG BANGUN SISTEM PERINGATAN DAN PROTEKSI KEBAKARAN SERTA KEBOCORAN GAS LPG DENGAN MONITORING SECARA REAL-TIME BERBASIS ESP32 PADA UMKM MAKANAN RINGAN Alvian Nur Firdausy; Aditya Chandra Hermawan
JURNAL ILMIAH PENELITIAN MAHASISWA Vol 4 No 5 (2026): Oktober
Publisher : Kampus Akademik Publiser

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jipm.v4i5.2960

Abstract

The risk of fire due to liquefied petroleum gas (LPG) leaks poses a serious threat to the operations of small and medium-sized snack food enterprises (MSMEs). This study aims to design and build an early warning and automatic protection system against LPG gas leaks and fire indications based on the Internet of Things (IoT). The system is controlled by an ESP32 microcontroller, integrating an MQ-2 sensor to detect gas concentration, a DHT22 sensor for environmental temperature monitoring, and an IR Flame sensor to detect fire radiation. Decision-making in the system is implemented using the Mamdani Fuzzy Logic method, which processes input data through 18 rule bases to classify environmental conditions into Safe, Alert, and Danger statuses. At the protection level, the system is equipped with a relay to cut off the electrical supply, a solenoid valve to stop the gas supply, and a buzzer as a warning alarm. Real-time data monitoring is carried out via the ThingSpeak dashboard, supported by a Micro SD module as a local data logger. The results of testing over seven days show that the Fuzzy Logic integration operated optimally without triggering any false alarms (zero false-trigger). Immediately upon detection of a Danger condition, the actuators successfully responded to the commands to cut off the current and close the gas valve in less than one second, with a 100% success rate. The application of IoT and Fuzzy Logic technology is proven to provide reliable, efficient, and flexible mitigation to improve the safety standards of MSME kitchens.