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One-Phase Smart Switch using OpenCV Hand Gesture Recognition Fauzan, Mochamad Rizal; Khairi, Saiqa Fatur; Kaniarudi, Neneng Puspita; Ath Thahirah Al Azhima, Silmi; Arief Hakim, Nurul Fahmi; Kustiawan, Iwan; Al Qibtya, Mariya; Elvyanti, Siscka
Ultima Computing : Jurnal Sistem Komputer Vol 16 No 1 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i1.3633

The need for simplicity in various activities encourages further technological development. One of them is a system to turn lights on and off with just a hand gesture. This hand gesture-based One-phase smart switch uses OpenCV, Arduino Nano, relays, and webcam cameras to recognize hand gestures. Static finger movements are used as buttons to turn on the lights. The results show that the algorithm used has high reliability with a precision score of 0.90, sensitivity of 0.90, accuracy of 0.96, and F1-score of 0.90. The accuracy of the system is affected by light intensity, distance, and hand tilt angle. At a light intensity of 70 LUX, the accuracy reaches 100%, while at 40 LUX the accuracy ranges from 98-99%. A distance of 30-60 cm gave the best accuracy of 100%, but decreased at longer distances. A hand tilt of 0° gives 100% accuracy, while at an angle of 60° the accuracy drops significantly, especially for the fifth finger with 64% accuracy. The average response time of the light to finger movement is 0.133 seconds. This device can recognize a variety of finger patterns well, thus meeting the desired needs.

Design and Evaluation of an Augmented Reality Application for Learning Workshop Tool Recognition Pramudita, Resa; Rohendi, Dedi; Pawinanto, Roer Eka; Rizqulloh, Muhammad Adli; Fauzan, Mochamad Rizal; Suryadi, Dedy; Kuntadi, Iwa
Jurnal Pendidikan Multimedia (Edsence) Volume 6 No 2 (December 2024)
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/edsence.v6i2.74815

This study aims to design and evaluate an Augmented Reality (AR) application for workshop tool recognition, with a focus on enhancing interactivity and student engagement in technical education. Developed using the ADDIE methodology—Analysis, Design, Development, Implementation, and Evaluation—the application integrates Blender for 3D modelling, Unity for development, and Vuforia for AR tracking. Usability was assessed through the System Usability Scale (SUS), involving 48 students from workshop practicum and Occupational Health and Safety (OHS) courses. The application achieved a SUS score of 50.5, classified as Fair according to the classification by Bangor et al. (2009). Key usability aspects were rated positively, including comfort (4.2), ease of use (4.0), functional integration (3.9), stability (4.1), and ease of learning (4.3). While the study highlights the application's potential as an effective learning tool, limitations include a small, institution-specific sample size. Future research should examine its adaptability in broader educational contexts and assess its impact on student learning outcomes. This study supports the integration of AR in technical education, fostering more interactive, efficient, and Industry 4.0-aligned learning environments.

Capacity Building of Majalaya Village through Training on Designing Flood Detection Systems for Village Youth in an Effort to Mitigate Flood Disasters Pramudita, Resa; Fauzan, Mochamad Rizal; Purnama, Wawan; Rizqulloh, Muhammad Adli; Ardiansyah, Neris Peri; Pawinanto, Roer Eka
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 5, No 3 (2024): REKA ELKOMIKA
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v5i3.280-290

Flooding remains a significant issue in Majalaya Village, Bandung Regency, West Java, due to its geographical location near the Citarum River. This community service project aimed to enhance disaster mitigation efforts by training village youth to design and implement a flood detection system. The system utilized ESP32 microcontrollers, infrared sensors, and solar-powered technology to provide early flood warnings. Through a structured training program, participants gained practical skills in assembling, installing, and maintaining the system. The project emphasized community ownership, ensuring sustainability and fostering collaboration among local stakeholders. Evaluation results indicated high participant satisfaction and confidence in system operation, though follow-up support is recommended for long-term success. The initiative serves as a potential model for other flood-prone regions seeking community-driven disaster mitigation solutions.

Perancangan Pemasangan Penerangan Jalan Umum Bagi Masyarakat Desa Cikalong Wetan Bandung Barat Al Qibtiya, Mariya; Pramudita, Resa; Fauzan, Mochamad Rizal; Saputra, Wasimudin Surya; Saripudin, Saripudin
BANTENESE : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 2 (2024): Bantenese: Jurnal Pengabdian Masyarakat
Publisher : Pusat Studi Sosial dan Pengabdian Masyarakat Fisipkum Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/m848d559

Perancangan pemasangan penerangan jalan umum di Desa Cikalong Wetan, Bandung Barat, bertujuan untuk meningkatkan keselamatan, kenyamanan, dan kualitas hidup masyarakat melalui penyediaan infrastruktur penerangan yang efisien dan berkelanjutan. Kegiatan ini meliputi analisis kebutuhan penerangan berdasarkan kondisi lokal, desain instalasi dengan pendekatan teknologi hemat energi, dan simulasi untuk memverifikasi efisiensi serta keandalan sistem. Melalui pendekatan partisipatif, masyarakat dilibatkan dalam perencanaan dan pemasangan guna meningkatkan pemahaman teknis serta rasa kepemilikan terhadap fasilitas yang dibangun. Evaluasi hasil menunjukkan respons positif dari masyarakat, yang merasakan manfaat langsung berupa peningkatan visibilitas jalan dan penurunan risiko kecelakaan. Program ini diharapkan dapat memberikan dampak jangka panjang terhadap peningkatan infrastruktur dan kualitas hidup masyarakat di Desa Cikalong Wetan.

Pelatihan Pembuatan Kapasitor Bank Bagi Masyarakat Desa Cipada Cikalong Wetan Rizqulloh, Muhammad Adli; Pramudita, Resa; Fauzan, Mochamad Rizal; Pawinanto, Roer Eka; Juanda, Endang Akhmad; Budi, Agus Heri Setya
BANTENESE : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 2 (2024): Bantenese: Jurnal Pengabdian Masyarakat
Publisher : Pusat Studi Sosial dan Pengabdian Masyarakat Fisipkum Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/x9j7jy70

Pelatihan pembuatan kapasitor bank di Desa Cipada bertujuan untuk meningkatkan pemahaman dan keterampilan masyarakat dalam efisiensi energi listrik. Kegiatan ini mencakup teori mengenai kapasitor bank dan praktik langsung pemasangannya pada instalasi listrik rumah tangga. Peserta diajarkan cara mengelola daya reaktif guna meningkatkan faktor daya dan stabilitas tegangan, yang berdampak pada penghematan energi dan penurunan biaya listrik. Hasil evaluasi menunjukkan respons positif dari peserta, yang merasa percaya diri menerapkan keterampilan tersebut di rumah mereka. Pelatihan ini diharapkan dapat meningkatkan kesadaran masyarakat akan pentingnya efisiensi energi sekaligus mendorong pengelolaan sumber daya listrik yang lebih baik di tingkat komunitas.

Pelatihan Perawatan Instalasi Rumah Bagi Masyarakat Desa Cipada Cikalong Wetan Fauzan, Mochamad Rizal; Pramudita, Resa; Somantri, Maman; Suartini, Tuti; Kustija, Jaja
BANTENESE : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 2 (2024): Bantenese: Jurnal Pengabdian Masyarakat
Publisher : Pusat Studi Sosial dan Pengabdian Masyarakat Fisipkum Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/d51yr251

Pelatihan Perawatan Instalasi Rumah bagi Masyarakat Desa Cipada, Cikalong Wetan, bertujuan meningkatkan keterampilan masyarakat dalam memelihara instalasi listrik rumah tangga secara mandiri. Minimnya perawatan instalasi listrik sering menyebabkan gangguan listrik, korsleting, hingga kebakaran. Program ini berlangsung tiga hari dengan kombinasi teori dan praktik langsung, mencakup dasar-dasar kelistrikan, pengecekan kabel, penggantian komponen seperti sakelar dan stop kontak, serta pemasangan alat pengaman seperti Miniature Circuit Breaker (MCB). Hasil pelatihan menunjukkan peningkatan pengetahuan dan keterampilan peserta, serta terbentuknya kelompok kerja masyarakat yang bertugas membantu warga lain dalam merawat instalasi listrik. Pelatihan ini juga meningkatkan kesadaran akan pentingnya instalasi yang terawat untuk keselamatan dan efisiensi energi, sekaligus mendorong penghematan biaya listrik. Pelatihan ini diharapkan menciptakan kemandirian masyarakat dalam merawat instalasi listrik, dan modelnya dapat direplikasi di desa lain untuk manfaat yang lebih luas.

Air Filtration System Utilizing Biomimetic Technology and IoT for Air Quality Improvement Fauzan, Mochamad Rizal; Al Azhima, Silmi Ath Thahirah; Pramudita, Resa; Hakim, Dadang Lukman; Rahmawati, Hanifah Indah; Azmi, Mutiara Nabila; Fauzi, Rafi Rahman; Somantri, Maman; Rahayu, Sri
Ultima Computing : Jurnal Sistem Komputer Vol 16 No 2 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i2.3871

The "Hepix" smart air filtration system, developed with biomimetic and Internet of Things (IoT) technology, aims to address the urgent issue of poor indoor air quality, particularly in high-mobility urban areas. This system integrates advanced sensors (MQ135 and BME680) and biomimetic filtration inspired by leaf stomata to monitor and filter air pollutants. Tested across three locations—Cilame, Jatinangor, and Cibiru—the system achieved an approximate 24.4% reduction in pollutant levels, as well as stable control of humidity and air pressure. Real-time data is continuously monitored through a mobile and web interface, supported by Google Assistant integration for voice commands. The results demonstrate that "Hepix" effectively improves air quality, offering a practical solution for healthier indoor environments in urban areas.

Workshop on IoT EDUTrainee Utilization to Enhance Competency of Vocational School Teachers in IoT Implementation Pramudita, Resa; Somantri, Maman; Fauzan, Mochamad Rizal; Rizqulloh, Muhammad Adli
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 1 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i1.1-10

This community service activity aimed to enhance the competency of vocational school teachers in the electro field across Bandung Raya by providing training on the utilization of IoT EduTrainer technology. The workshop followed the ADDIE model, covering both theoretical and practical aspects of IoT implementation, including case studies on smart greenhouse monitoring, RFID-based door locks, and automated watering systems. Participants engaged in hands-on activities, gaining practical experience in setting up IoT systems using Blynk and MQTT platforms. The evaluation of the workshop, conducted through Likert-scale-based questionnaires, revealed a high level of participant satisfaction in terms of content quality, material delivery, and the practical sessions. Although the workshop was successful in achieving its objectives, feedback suggested that allocating additional time for hands-on exercises would further enhance participant understanding and the application of IoT concepts. This training has equipped teachers with valuable skills for integrating IoT into their curricula and has supported the development of future-ready students capable of thriving in the Industry 4.0 era.

Optimization of IoT-based monitoring system for automatic power factor correction using PZEM-004T sensor Somantri, Maman; Fauzan, Mochamad Rizal; Surya, Irgi
Indonesian Journal of Electrical Engineering and Computer Science Vol 39, No 2: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v39.i2.pp860-873

Power factor correction (PFC) is crucial for improving energy efficiency and reducing excessive power consumption, especially in inductive loads commonly found in household and industrial environments. Conventional PFC methods often rely on manual capacitor switching, which is inefficient and impractical for real-time applications. This study proposes an IoT-based automatic power factor monitoring and correction system that dynamically adjusts the power factor using real-time data analysis. The system integrates NodeMCU ESP32 and the PZEM-004T sensor to monitor electrical parameters and automatically switch capacitors based on power factor conditions. The research follows the ADDIE approach (analysis, design, development, implementation, evaluation) to ensure a structured development process. Experimental results demonstrate an average power factor improvement of 48.77% and a reduction in current consumption by 39.90%, significantly enhancing energy efficiency. The system's web-based interface allows real-time monitoring with an average data transmission response time of 207.67 ms, ensuring efficient remote management. Compared to existing systems, the proposed approach eliminates manual intervention and optimizes PFC adaptively. Future research should focus on expanding system reliability, testing on larger-scale applications, and integrating artificial intelligence (AI) for predictive power factor adjustments.

One-Phase Smart Switch using OpenCV Hand Gesture Recognition Fauzan, Mochamad Rizal; Khairi, Saiqa Fatur; Kaniarudi, Neneng Puspita; Ath Thahirah Al Azhima, Silmi; Arief Hakim, Nurul Fahmi; Kustiawan, Iwan; Al Qibtya, Mariya; Elvyanti, Siscka
ULTIMA Computing Vol 16 No 1 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i1.3633

The need for simplicity in various activities encourages further technological development. One of them is a system to turn lights on and off with just a hand gesture. This hand gesture-based One-phase smart switch uses OpenCV, Arduino Nano, relays, and webcam cameras to recognize hand gestures. Static finger movements are used as buttons to turn on the lights. The results show that the algorithm used has high reliability with a precision score of 0.90, sensitivity of 0.90, accuracy of 0.96, and F1-score of 0.90. The accuracy of the system is affected by light intensity, distance, and hand tilt angle. At a light intensity of 70 LUX, the accuracy reaches 100%, while at 40 LUX the accuracy ranges from 98-99%. A distance of 30-60 cm gave the best accuracy of 100%, but decreased at longer distances. A hand tilt of 0° gives 100% accuracy, while at an angle of 60° the accuracy drops significantly, especially for the fifth finger with 64% accuracy. The average response time of the light to finger movement is 0.133 seconds. This device can recognize a variety of finger patterns well, thus meeting the desired needs.

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