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All Journal International Journal of Advances in Applied Sciences Majalah Ilmiah Teknologi Elektro JTEV (Jurnal Teknik Elektro dan Vokasional Computer Science and Information Technologies Prosiding Seminar Riset Mahasiswa Cahaya Pengabdian
Purnama, Hendril Satrian
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Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Sistem Monitoring Debit Air Berbasis Internet of Things pada Saluran Air Sutikno, Tole; Susanto, Defri Rahmad; Purnama, Hendril Satrian
Jurnal Teknologi Elektro Vol 22 No 2 (2023): (Juli - Desember) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2023.v22i02.P01

Abstract

Manual measurement and recording of water debits has many drawbacks, including inaccuracies, time inefficiencies and requires a lot of human effort. Along with technological developments, the Internet of Things (IoT) is the right option to reduce human interaction with hardware in terms of continuous monitoring. This study aims to design a prototype of a water discharge monitoring system with precise accuracy and efficient use of electrical energy. The water discharge monitoring device system is designed based on IoT with NodeMCU as the main processor, while the water flow sensor is used as a transducer in charge of collecting data. Furthermore, the data collected by the hardware will be sent to the server with the IoT protocol via Blynk application. The results of the study show that the designed system works well, able to transmit data via IoT remotely, and has relatively high accuracy.
Sistem Monitoring Solar Panel Berbasis Ubidots Hardhianto, R. Sumantri; Sutikno, Tole; Purnama, Hendril Satrian
JTEV (Jurnal Teknik Elektro dan Vokasional) Vol 10, No 2 (2024): JTEV (Jurnal Teknik Elektro dan Vokasional)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtev.v10i2.130798

Abstract

Indonesia saat ini sangat bergantung pada sumber energi tak terbarukan seperti minyak, bahan bakar fosil, batu bara, dan gas alam untuk pembangkit listrik. Namun, penggunaan energi terbarukan seperti tenaga surya semakin meningkat sebagai alternatif yang lebih ramah lingkungan. Untuk mengoptimalkan penggunaan energi surya, diperlukan sistem pemantauan real-time yang dapat memantau kinerja panel surya tanpa pemeriksaan manual. Penelitian ini merancang dan menguji sistem pemantauan panel surya berbasis IoT menggunakan platform Ubidots. Sistem ini menggunakan sensor seperti sensor tegangan DC, sensor arus ACS712, sensor suhu DHT22, dan sensor iluminasi cahaya BH1750 yang terhubung ke mikrokontroler ESP32. Pengujian dilakukan dengan mengambil pengukuran sensor setiap 5 menit. Data sensor dikirim ke platform Ubidots melalui koneksi internet untuk ditampilkan dan dianalisis. Pengujian menunjukkan bahwa sistem ini dapat secara akurat memantau parameter utama panel surya seperti tegangan, arus, daya, suhu, dan iluminasi cahaya secara real-time. Pengaruh iluminasi cahaya terhadap keluaran tegangan, arus, dan daya juga dianalisis. Pengujian juga dilakukan untuk mengetahui tingkat akurasi sensor-sensor yang digunakan, dengan hasil akurasi sensor tegangan sebesar 98,02%, sensor arus sebesar 91,89%, dan sensor suhu sebesar 95,79%. Secara keseluruhan, sistem pemantauan panel surya berbasis Ubidots ini memberikan informasi yang akurat dan komprehensif tentang kinerja panel surya, membantu mengoptimalkan penggunaan energi surya.Indonesia saat ini sangat bergantung pada sumber energi tak terbarukan seperti minyak, bahan bakar fosil, batu bara, dan gas alam untuk pembangkit listrik. Namun, penggunaan energi terbarukan seperti tenaga surya semakin meningkat sebagai alternatif yang lebih ramah lingkungan. Untuk mengoptimalkan penggunaan energi surya, diperlukan sistem pemantauan real-time yang dapat memantau kinerja panel surya tanpa pemeriksaan manual. Penelitian ini merancang dan menguji sistem pemantauan panel surya berbasis IoT menggunakan platform Ubidots. Sistem ini menggunakan sensor seperti sensor tegangan DC, sensor arus ACS712, sensor suhu DHT22, dan sensor iluminasi cahaya BH1750 yang terhubung ke mikrokontroler ESP32. Pengujian dilakukan dengan mengambil pengukuran sensor setiap 5 menit. Data sensor dikirim ke platform Ubidots melalui koneksi internet untuk ditampilkan dan dianalisis. Pengujian menunjukkan bahwa sistem ini dapat secara akurat memantau parameter utama panel surya seperti tegangan, arus, daya, suhu, dan iluminasi cahaya secara real-time. Pengaruh iluminasi cahaya terhadap keluaran tegangan, arus, dan daya juga dianalisis. Pengujian juga dilakukan untuk mengetahui tingkat akurasi sensor-sensor yang digunakan, dengan hasil akurasi sensor tegangan sebesar 98,02%, sensor arus sebesar 91,89%, dan sensor suhu sebesar 95,79%. Secara keseluruhan, sistem pemantauan panel surya berbasis Ubidots ini memberikan informasi yang akurat dan komprehensif tentang kinerja panel surya, membantu mengoptimalkan penggunaan energi surya.
Artificial intelligence-powered robotics across domains: challenges and future trajectories Sutikno, Tole; Purnama, Hendril Satrian; Ahmad, Laksana Talenta
Computer Science and Information Technologies Vol 6, No 2: July 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v6i2.p178-201

Abstract

The rise of artificial intelligence (AI) in robotic systems raises both challenges and opportunities. This technological change necessitates rethinking workforce skills, resulting in new qualifications and potentially outdated jobs. Advancements in AI-based robots have made operations more efficient and precise, but they also raise ethical issues such as job loss and responsibility for robot decisions. This study explores AI-powered robotics in both of their challenges and future trajectories. As AI in robotics continues to grow, it will be crucial to tackle these issues through strong rules and ethical standards to ensure safe and fair progress. Collaborative robots in manufacturing improve safety and increase productivity by working alongside human employees. Autonomous robots reduce human mistakes during checks, leading to better product quality and lower operational expenses. In healthcare, robotic helpers improve patient care and medical staff performance by managing routine tasks. Future research should focus on improving efficiency and accuracy, boosting productivity, and creating safe environments for humans and robots to work safely together. Strong rules and ethical guidelines will be vital for integrating AI-powered robotics into different areas, ensuring technology development aligns with societal values and needs.
Sosialisasi Listrik Aman dan Hemat Sejak Dini pada Siswa SDN 1 Hargomulyo, Gedangsari, Gunung Kidul Sutikno, Tole; Handayani, Lina; Pamungkas, Anggit; Purnama, Hendril Satrian
Cahaya Pengabdian Vol. 2 No. 1 (2025): Juni 2025
Publisher : Apik Cahaya Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61971/cp.v2i1.232

Abstract

Penggunaan listrik yang tidak aman dan boros masih menjadi tantangan utama di masyarakat urban. Pemahaman akan keselamatan dalam penggunaan Listrik sehari-hari yang masih minim menjadi penyebab utamanya. Oleh karena itu dibutuhkan solusi yang konkrit untuk menyelesaikan masalah tersebut. Kegiatan pengabdian ini bertujuan untuk meningkatkan pengetahuan dan kesadaran masyarakat tentang bahaya listrik serta praktik hemat energi melalui pendekatan edukatif. Sosialisasi dilakukan secara langsung kepada siswa SD dengan materi visual dan demonstratif. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap risiko listrik dan adopsi perilaku hemat energi. Kegiatan ini diharapkan menjadi model edukasi preventif yang dapat direplikasi di wilayah lain.
Mechanical gear footstep power generation using a mini generator with buck and boost selectors Sutikno, Tole; Fernando, Rizki; Pamungkas, Anggit; Purnama, Hendril Satrian; Baswara, Ahmad Raditya Cahya
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp343-349

Abstract

In this research, we intend to build a floor-based power plant that produces energy using a mechanical generator drive. The drive system uses a two-gear transmission system with a different number of teeth, resulting in varying torque and speed. The large gear will stick directly to the floor, causing it to spin when the floor is stepped on, and then the small gear will spin the generator quickly. The buck and boost selector systems are powered by fluctuating voltage from the generator. If the voltage produced by the generator is greater than 5 V, the system will reduce it; otherwise, the system will increase the voltage. This selector system uses several modifications of the current circuit between rectifiers, which function to rectify the generator output when the generator rotation changes, a voltage divider is useful for dividing the generator output voltage. The pressure before and after the selector system was measured by applying force on the floor to 15 people with varying loads. The result shows that the buck and boost selector system can work properly, and the nominal output voltage of the generator is around 5 V as needed.
Sistem Pengendali Pintu Gerbang Garasi Pintar Berbasis Ubidots IoT Cloud Platform Lilbilad, Walid Mufid; Sutikno, Tole; Pamungkas, Anggit; Purnama, Hendril Satrian
Prosiding Seminar Riset Mahasiswa Vol 1, No 1: Maret 2023
Publisher : Universitas Islam Sultan Agung

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

Abstract

Garasi merupakan bagian rumah tempat menyimpan mobil maupun kendaraan pribadi lainnya. Pekerjaan membuka dan menutup pintu garasi pada umumnya dilakukan secara manual, hal ini cukup merepotkan karena pengendara harus masuk dan keluar mobil untuk menutup garasinya sendiri. Oleh karena itu, pada paper ini diusulkan cara untuk melakukan otomatisasi pada pintu gerbang garasi dengan menerapkan sistem kendali berbasis Internet of Things (IoT). Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem IoT dalam bentuk prototipe untuk membuka dan menutup pintu gerbang garasi menggunakan aplikasi Ubidots IoT Cloud Platform. Perangkat yang digunakan dalam merancang sistem pintu gerbang garasi pintar berbasis IoT cloud platform dibagi menjadi beberapa bagian, yaitu bagian input, proses, dan output. Bagian input terdiri dari tombol buka dan tutup yang terdapat pada smartphone, bagian proses terdiri dari mikrokontroler NodeMCU esp8266, dan bagian output terdiri dari motor stepper, relay dan solenoid. Setelah dilakukan implementasi dan analisis hasil pengujian, sistem yang dirancang dapat bekerja dengan baik secara keseluruhan dimulai dari koneksi ke Wi-Fi, komunikasi dengan aplikasi Ubidots, serta mekanisme otomatisasinya.Keyword: garasi pintar, IoT, otomatisasi, Ubidots
Smart irrigation system using node microcontroller unit ESP8266 and Ubidots cloud platform Sutikno, Tole; Nur Wahyudi, Ahmad; Wahono, Tri; Arsadiando, Watra; Purnama, Hendril Satrian
Computer Science and Information Technologies Vol 5, No 2: July 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i2.p168-175

Abstract

The agricultural irrigation system is extremely important. For optimal harvest yields, farmers must manage rice plant quality by monitoring water, soil, and temperature on agricultural fields. If market demand rises, traditional rice field irrigation in Indonesia will make things harder for farmers. This modern era requires a system that lets farmers monitor and regulate agricultural fields anywhere, anytime. We need a solution that can control the irrigation system remotely using an internet of things (IoT) device and a smartphone. This study employed the Ubidots IoT cloud platform. In addition, the study uses soil moisture and temperature sensors to monitor conditions in agricultural regions, while pumps function as irrigation systems. The test results indicate the proper design of the system. Each trial collected data. The pump will turn on and off automatically based on soil moisture criteria, with the pump active while the soil moisture is less than 20% and deactivated when the soil moisture exceeds 20%. In simulation mode, the pump operates for an average of 0–5 seconds of watering. The monitoring system shows the current soil temperature and moisture levels. Temperature sensors respond in 1-3 seconds, whereas soil moisture sensors respond in 0–4 seconds.
The smart e-bike ecosystem integrates internet of things and artificial intelligence Sutikno, Tole; Purnama, Hendril Satrian
Computer Science and Information Technologies Vol 6, No 3: November 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v6i3.p307-314

Abstract

The smart e-bike ecosystem, a combination of internet of things (IoT) and artificial intelligence (AI), has transformed urban mobility. This study aims to shed light on the transformative potential of the smart e-bike ecosystem in the context of urban transportation solutions. It includes real-time navigation, crash detection, and a smart electric drive to encourage sustainable practices and reduce reliance on traditional vehicles. The use of smart locks and parking beacon systems creates a safe and efficient urban infrastructure, encouraging e-bike use. This approach reduces traffic congestion and carbon emissions. IoT frameworks in smart e-bikes improve the user experience and contribute to urban mobility solutions. Real-time monitoring of critical parameters, such as battery levels, speed, and maintenance requirements, keeps riders informed and safe at all times. IoT-enabled features, such as navigation assistance, shorten travel times and improve the efficiency of urban transportation systems. The evolution of smart e-bikes is consistent with the anticipated improvements of 6G networks, which promise to transform communication infrastructures. AI-powered features such as real-time navigation and crash detection make rides safer. The use of smart electric drives and cloud server technology promotes a data-driven approach to transportation. Future research and development should look into the use of advanced localization techniques to improve user experience while addressing accuracy and energy consumption issues.
Fingerprint based smart door lock system using Arduino and smartphone application Sutikno, Tole; Faqih Ubaidillah, Moh Ainur; Arsadiando, Watra; Purnama, Hendril Satrian
Computer Science and Information Technologies Vol 5, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i1.p91-98

Abstract

In 2023, crime cases in Indonesia reached 105,133. Cases of theft with aggravation dominate the majority of cases. Everyone is concerned about safety, but doors are typically opened and closed using physical keys. This is vulnerable to being tampered with with fake keys, which can lead to house break-ins and theft. In this research, we propose a fingerprint-based wireless door lock design using Arduino and a smartphone. We offer this solution as a preventive measure to reduce the high rate of theft in homes or other buildings. The devices used are Arduino UNO R3, fingerprint sensor, HC-05 Bluetooth module, buzzer, and door lock solenoid. The results of the fingerprint-based wireless door lock using Arduino and a smartphone can function well, with an average response time of 1.20 seconds. Furthermore, testing the HC-05 Bluetooth when sending signals to a smartphone shows that it can read data accurately with an average response time of 1.54 seconds.
Co-Authors Ahmad, Laksana Talenta Arsadiando, Watra Baswara, Ahmad Raditya Cahya Faqih Ubaidillah, Moh Ainur Fernando, Rizki Hardhianto, R. Sumantri Lilbilad, Walid Mufid Lina Handayani Nur Wahyudi, Ahmad Pamungkas, Anggit Susanto, Defri Rahmad Tole Sutikno Tri Wahono