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All Journal Jurnal ULTIMA Computing JURTEKSI TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Edsence: Jurnal Pendidikan Multimedia Bantenese Jurnal Pengabdian Masyarakat REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga)
Pramudita, Resa
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Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Social Sciences Other

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Perancangan Sistem Pendeteksi Kerusakan Motor Induksi Berbasis IoT dengan Menggunakan Sensor Suhu, Arus dan Getaran Pramudita, Resa; Sidhiq, Yusuf Ibnu; Rizqulloh, Muhammad Adli; Pawinanto, Roer Eka
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 11, No 1 (2025): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v11n1.64-75

Abstract

Motor induksi dikenal karena keunggulan dalam konstruksi sederhana, ketahanan terhadap beban, dan efisiensi yang tinggi, namun memiliki potensi kerusakan yang dapat mengurangi efisiensi operasional. Sebagai solusi, sistem monitoring kerusakan motor induksi berbasis IoT dikembangkan dengan menggunakan mikrokontroler Arduino yang terintegrasi dengan ESP 01. Pengujian meliputi pengukuran akurasi sensor dalam berbagai kondisi operasi untuk memastikan keandalan deteksi. Tiga sensor utama, yaitu sensor suhu DS18B20, sensor arus SCT-013, dan sensor getaran ADXL335 digunakan untuk mendeteksi suhu, arus, dan getaran. Hasil pengujian menunjukkan bahwa pengujian suhu motor memiliki akurasi hingga 97%, sementara pengujian arus mencapai 84,3%. Sistem pendeteksi kerusakan motor menunjukkan tingkat akurasi 100% dalam mendeteksi kerusakan pada motor. Selain itu, sistem ini dirancang untuk memberikan peringatan dini melalui platform IoT, sehingga pemeliharaan dapat dilakukan sebelum kerusakan signifikan terjadi. Secara keseluruhan, sistem ini menunjukkan efektivitas dalam mendeteksi potensi kerusakan pada motor induksi dengan fokus pada tiga parameter kunci: suhu, arus, dan getaran, yang meningkatkan keandalan dan efisiensi operasional motor induksi. Induction motors are known for their advantages in simple construction, load resistance, and high efficiency. However, they have the potential for damage that can reduce operational efficiency. As a solution, an IoT-based induction motor fault monitoring system is developed using an Arduino microcontroller integrated with ESP 01. Testing includes measuring sensor accuracy in various operating conditions to ensure detection reliability. Three main sensors DS18B20, SCT-013, and ADXL335 are used to detect temperature, current, and vibration. Test results show that the motor temperature test has an accuracy of up to 97%, while the current test reaches 84.3%. The motor fault detection system demonstrates 100% accuracy in detecting motor faults. Additionally, the system is designed to provide early warnings through the IoT platform, enabling maintenance to be performed before significant damage occurs. Overall, this system demonstrates effectiveness in detecting potential faults in induction motors, focusing on three key parameters: temperature, current, and vibration, which enhances the reliability and operational efficiency of induction motors
Implementasi Desain Filter Pasif: Simulasi Perancangan Filter LCL untuk Inverter SPWM Berdasarkan Frekuensi Switching dan Distorsi Harmonik Total Irfa'i, Ahmad Khumedillah; Suryana, Ase; Pramudita, Resa; Rizqulloh, Muhammad Adli
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 10, No 3 (2024): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v10n3.215-227

Abstract

Seiring berjalanya waktu, perkembangan sumber energi listrik terbarukan dan integrasi sistem jaringan listrik berkembang sangat pesat. Kemudian, kualitas daya menurun dikarenakan kandungan distorsi harmonik ikut terinjeksi ke jaringan listrik dari sebagian besar perangkat elektronika daya yang menggunakan aplikasi inverter. Diperlukan Filter LCL yang dioptimalkan guna meningkatkan kualitas daya untuk inverter satu fasa yang terhubung dengan perangkat utilitas. Filter LCL yang dirancang dibawah batasan varisasi frekuensi swtiching minimum, distorsi harmonik total (THD), nilai induktor, dan faktor daya (cosphi). Dengan desain tersebut memberikan kinerja optimal untuk mengurangi konten harmonik. Semua hasil diperoleh melalui perhitungan, software PSIM, dan software LTspice. Hasil simulasi menunjukan distorsi harmonik total pada tegangan dan arus keluaran mengalami penurunan yang signifikan, sehingga meningkatkan kualitas daya yang lebih minim distorsi . THD tegangan sebelum melewati filter sebesar 79,52% menjadi 0,4972% setelah melewati filter LCL, sedangkan pada arus inverter yang mulanya 3,288% menjadi 0,4972% setelah melewati filter LCL. Dengan redaman distorsi harmonik total pada keluaran tegangan sebesar 99,37% dan keluaran arus 84,88%. Hasil ini memverifikasi kelayakan desain filter LCL yang di usulkan. Over time, the development of renewable electrical energy sources and the integration of power grid systems have grown rapidly. Subsequently, power quality is degraded due to harmonic distortion content injected into the power grid from most power electronic devices using inverter applications. An optimized LCL filter is required to improve the power quality for single-phase inverters connected to utility devices. The LCL filter is designed under the constraints of minimum swtiching frequency variation, total harmonic distortion (THD), inductor value, and power factor (cosphi). The design provides optimal performance to reduce the harmonic content. All results were obtained through, software PSIM, and software LTspice. The simulation results show that the total harmonic distortion in the output voltage and current has decreased significantly, thus improving the power quality with less distortion. The THD of the voltage before passing through the filter is 79.52% to 0.4972% after passing through the LCL filter, while that of the inverter current is initially 3.288% to 0.4972% after passing through the LCL filter. With a total harmonic distortion attenuation at the voltage output of 99.37% and current output of 84.88%. These results verify the feasibility of the proposed LCL filter design.
Pemberdayaan Konservasi Energi: Memanfaatkan Potensi IoT dengan NodeMCU Amica dan PZEM-004T untuk Pemantauan dan Efisiensi Energi Cerdas Trisno, Bambang; Budiman, Rendy Adiyana; Pratama, Sandi; Riswana, Ridwan; Septiani, Tira; Pramudita, Resa
TELKA - Telekomunikasi Elektronika Komputasi dan Kontrol Vol 10, No 2 (2024): TELKA
Publisher : Jurusan Teknik Elektro UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/telka.v10n2.158-167

Abstract

Penelitian ini mengembangkan sistem rumah pintar berbasis IoT untuk meningkatkan efisiensi energi, menggunakan sensor PZEM-004T dan Arduino IDE. Melalui pendekatan komparatif kuantitatif, sistem ini dibandingkan dengan multimeter standar, menunjukkan kesalahan hanya 0,19% - 0,46%, memastikan akurasi tinggi. Integrasi kontaktor dalam sistem ini membantu mencegah risiko hubungan singkat, meningkatkan keamanan perangkat elektronik. Meskipun belum ada pengujian langsung untuk mengukur penghematan energi, sistem ini menunjukkan kemampuan dalam memantau dan mengukur konsumsi energi dua beban secara bersamaan. Hal ini membuka peluang untuk optimalisasi penggunaan energi dan identifikasi area di mana konsumsi energi dapat dikurangi. Dengan fitur-fitur ini, sistem berpotensi mengurangi pemborosan energi dan menurunkan biaya operasional. Ke depan, sistem ini dapat digunakan untuk pemantauan energi listrik rumah tangga, integrasi dengan smartphone untuk kontrol yang lebih mudah, dan pencegahan penggunaan energi berlebihan. Dengan demikian, penelitian ini mendukung pendekatan cerdas dan efisien dalam penggunaan energi rumah tangga. This study develops a smart home system based on IoT to improve energy efficiency, using the PZEM-004T sensor and Arduino IDE. Through a quantitative comparative approach, the system was compared to a standard multimeter, showing a minimal error rate of 0.19% - 0.46%, ensuring high accuracy. The system's integration of a contactor helps prevent short-circuit risks, enhancing the safety of electronic devices. Although direct testing for energy savings has not yet been conducted, the system demonstrates the ability to monitor and measure the energy consumption of two loads simultaneously. This creates opportunities for optimizing energy use and identifying areas for energy reduction. These features suggest the system could potentially reduce energy waste and lower operational costs. The system can be used for household energy monitoring, smartphone integration for easier control, and prevention of excessive energy use. This study thus supports an intelligent and efficient approach to household energy.
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 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

Abstract

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.
DESIGN OF AN INTERNET OF THINGS-BASED WATER LEVEL MONITORING SYSTEM Rienandie, Naufal Fakhrie; Pramudita, Resa
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 11 No. 2 (2025): Maret 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v11i2.3713

Abstract

Abstract: Conventional water reservoir filling systems often cause inefficiencies due to delays in monitoring or failure of the float system which results in overflowing water from the reservoir. this research aims to develop an ESP32-based water level monitoring and control system by utilising IoT technology and ultrasonic sensors, this system can facilitate users in monitoring water levels and automating pump control. this research uses the experimental method, starting from system design to system testing and analysis, as well as testing which includes sensor accuracy, system response, and communication stability with the IoT server. based on the results obtained. The test results show that the system has an average accuracy rate of 98.4% with an average response time of 1.8 seconds. based on the results obtained, this system shows a positive accuracy value and response time in its application. Keywords: blynk; internet of things; monitoring; water level  Abstrak: Sistem pengisian tandon air secara konvensional sering kali menimbulkan ketidakefisienan karena keterlambatan dalam pemantauan atau kegagalan sistem pelampung yang mengakibatkan meluapnya air dari tandon. penelitian ini bertujuan untuk mengembangkan sistem monitoring dan kontrol ketinggian air berbasis ESP32 dengan memanfaatkan teknologi IoT dan sensor ultrasonik, sistem ini dapat memudahkan pengguna dalam memonitoring ketinggian air dan mengotomatisasi kontrol pompa. Penelitian ini menggunakan metode eksperimen, mulai dari perancangan sistem hingga pengujian dan analisis sistem, serta pengujian yang meliputi akurasi sensor, respon sistem, dan kestabilan komunikasi dengan server IoT. Hasil pengujian menunjukkan bahwa sistem memiliki tingkat akurasi rata-rata sebesar 98,4% dengan waktu respon rata-rata 1,8 detik. berdasarkan hasil yang diperoleh, sistem ini menunjukkan nilai akurasi dan waktu respon yang positif dalam pengaplikasiannya. Kata kunci: blynk; internet of things; pemantauan; tingkat air 
Enhancing the Transformation of Electrical Engineering Learning in Vocational High Schools through WOKWI Web Simulation Training in Greater Bandung Pramudita, Resa; Haritman, Erik; Rizqulloh, Muhammad Adli; Hartopo, Ibnu; Purnama, Wawan; Pawinanto, Roer Eka; Iglesias, Andre Reyvaldo
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 7, No 1 (2026): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v7i1.20-29

Abstract

This article reports a community service program designed to address persistent constraints in Technical and Vocational Education and Training (TVET) microcontroller and IoT practicum, including limited laboratory kits, maintenance costs, and uneven access to hardware that can reduce the frequency and quality of hands-on learning. To support project-based learning and the ongoing digital transformation of electrical engineering education, the program aimed to enhance vocational electrical teachers’ competence in using a web-based simulation platform for ESP32-oriented microcontroller and IoT instruction. A one-day, hands-on workshop was developed using the GOAD (Goal–Objectives–Activities–Deliverables) framework and implemented with twenty teachers from ten vocational high schools. Activities included an introduction to WOKWI, basic C programming, microcontroller and IoT concepts, and contextual case studies such as automatic systems and flood-detection projects. Evaluation data were collected through a 12-item Likert questionnaire covering content, delivery, and practice aspects. Results showed high satisfaction, with average scores of 83.5% for content, 81.75% for delivery, and 79.25% for hands-on practice. The program indicates that WOKWI is a feasible tool to mitigate laboratory constraints and to support scalable, low-cost, and interactive IoT practicum in TVET.
Co-Authors Adli Rizqulloh, Muhammad Al Azhima, Silmi Ath Thahirah Al Qibtiya, Mariya Azmi, Mutiara Nabila Bambang Trisno Budi, Agus Heri Setya Budiman, Rendy Adiyana Dadang Lukman Hakim Dedi Rohendi Dedy Suryadi Didin Wahyudin, Didin Eka Pawinanto, Roer Erik Haritman, Erik Fauzan, Mochamad Rizal Fauzi, Rafi Rahman Hartopo, Ibnu Iglesias, Andre Reyvaldo Irfa'i, Ahmad Khumedillah Iwa Kuntadi Jaja Kustija, Jaja Juanda, Endang Akhmad Maman Somantri Muhammad Adli Rizqulloh Neris Peri Ardiansyah Rahmawati, Hanifah Indah Rienandie, Naufal Fakhrie Riswana, Ridwan Roer Eka Pawinanto, Roer Eka Sandi Pratama Saripudin Saripudin Septiani, Tira Sidhiq, Yusuf Ibnu SRI RAHAYU Surya, Irgi Suryana, Ase Tuti Suartini Wasimudin Surya Saputra Wawan Purnama