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All Journal JOIV : International Journal on Informatics Visualization Jurnal Mnemonic Jurnal Bumigora Information Technology (BITe) Journal of Electrical Engineering and Computer (JEECOM) ALINIER: Journal of Artificial Intelligence & Applications Jurnal Fortech SinarFe7 Magnetika: Jurnal Mahasiswa Teknik Elektro Nucleus Journal Jurnal FORTECH
I Komang Somawirata
Teknik Elektro, Institut Teknologi Nasional Malang
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Flood Early Warning System with Notification Using Telegram Bot Based on IoT System Rakhman, Aditya Djulqodri; Somawirata, I Komang; Ardita, Michael
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10850

Abstract

Flooding is one of the disasters that often occurs in Indonesia, especially in areas with high rainfall, such as Malang City. To improve the effectiveness of early warning, this research develops an Early Warning System (EWS) information dissemination system based on the Internet of Things (IoT). This system combines Variable Message Sign (VMS) as a visual display media and a Telegram bot to provide real-time notifications to the public. NodeMCU ESP8266 is the main microcontroller connected to a WiFi network to access data on the server. Tests were conducted to assess the accuracy of VMS synchronization, the speed of notification response, and the effectiveness of the buzzer in providing warnings. The test results show that synchronizing two VMS with different internet networks has an average time difference of 1.16 seconds, while with the same network, it is only 0.03 seconds. In addition, the VMS and Telegram bot can deliver information quickly and accurately, while the buzzer functions according to the set warning level. With this system, the dissemination of flood early warning information becomes more effective and easily accessible to the public, especially those in vulnerable areas or on the move.
DESAIN KURSI RODA PINTAR HUMAN FOLLOWING MENGGUNAKAN YOLO V5 Nicola Natha Teopilus Ginting; Somawirata, I Komang; Faradisa, Irmalia Suryani
Magnetika: Jurnal Mahasiswa Teknik Elektro Vol 9 No 1 (2025): Magnetika: Jurnal Mahasiswa Teknik Elektro
Publisher : Magnetika: Jurnal Mahasiswa Teknik Elektro

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

Abstract

Disabilitas adalah kondisi yang mencakup berbagai hambatan fisik, mental, intelektual, atau sensorik yang dapat membatasi kemampuan seseorang untuk berpartisipasi penuh dalam masyarakat. Keterbatasan mobilitas adalah salah satu bentuk disabilitas fisik yang membutuhkan bantuan kursi roda, yang bisa terjadi akibat berbagai alasan termasuk kondisi bawaan, kecelakaan, atau kondisi medis seperti stroke. Individu dengan keterbatasan ini seringkali membutuhkan dukungan keluarga dan komunitas untuk mendapatkan akses yang lebih baik ke sumber daya dan fasilitas yang memungkinkan partisipasi yang lebih luas dalam kegiatan sosial dan profesional. Dalam upaya meningkatkan kemandirian dan mobilitas, kursi roda pintar yang dapat mengikuti penuntun (human following) menggunakan YOLO V5, teknologi deteksi objek real-time berbasis Computer vision dan CNN (Convolutional Neural Network), telah dikembangkan. Sistem ini menggunakan mikrokontroler Arduino Uno untuk pengendalian motor dan navigasi, sementara pengolahan citra dilakukan melalui webcam yang terhubung dengan perangkat pengolahan data yang menjalankan YOLO V5. Pada penelitian ini, YOLOv5 menggunakan framewerk PyTroch yang dimana pengumpulan model dan training data tidak perlu lagi dilakukan karena dari PyTorch sudah tersedia. Dalam pengujian penelitian ini, kursi roda mampu mengikuti orang yang dideteksi sesuai nilai PWM yang diterima oleh motor, sehingga kursi roda mampu untuk bergerak ke arah kiri, kanan, dan lurus kedepan.
Sistem SCADA pada miniatur Smart Home Bertenaga Surya Alfa Z Fikri, Mohammad; Sakhalish Zayyan, Muhammad; Edo Mikrado, Juan; B Sulistiawati, Irrine; Soetedjo, Aryuanto; Somawirata, I Komang; Sotyohadi , Sotyohadi
Jurnal FORTECH Vol. 3 No. 2 (2022): Jurnal FORTECH
Publisher : FORTEI (Forum Pendidikan Tinggi Teknik Elektro Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56795/fortech.v3i2.106

Abstract

A smart home is a combination of technology and services in the home environment that aims to increase the efficiency, comfort and safety of its residents. This smart home is controlled by Outseal PLC which communicates locally using RS485 with Haiwell SCADA HMI. Apart from controlling and monitoring through the Haiwell SCADA HMI[1], you can do it via a smartphone by downloading the Haiwell Cloud app in the Playstore. When the light is turned on via the Haiwell Scada HMI or using a Smartphone, the buttons on the Haiwell Scada HMI and the smartphone will turn on. And there is a delay of about 5 seconds, due to the time it takes to send information to Outseal PLC. The main objective of this journal is to introduce children to smart home by making a miniature smart home using SCADA, Outseal PLC Arduino Mega and other components. In this paper we use SCADA, the RS 485 control protocol to create this miniature smart home. It used to be that if the user wanted to control equipment, he had to move near the wall and control the sacred. This method is inconvenient for the elderly and disabled. therefore created a smart home that can be controlled and controlled remotely This miniature smart home uses solar panels as an energy source so when there is a blackout, this miniature can still be used[2].
Co-Authors Achmad Danang Subekti aditya_alfiansyah Alfa Z Fikri, Mohammad Aryuanto Soetedjo Awan Uji Krismanto B Sulistiawati, Irrine Bagus Saputra Dyah Ayu Girindraswari Edo Mikrado, Juan Fahrudi Setiawan, Ahmad Fitri Utaminingrum Gusti Pengestu heldi bafadhal, Heldi I Gede Putu Nanda Udayana Ifsul Hidayat Rusmuriadi Ilmi, Muhammad Akmal Irmalia Suryani Faradisa Irrine B Sulistiawati Irrine Budi S Juan Edo Mikrado Jumadil Awal Luis A. M. Dos Santos Lukman Fajar Andri F M. Ibrahim Ashari M. Ibrahim Ashari M. Ibrahim Ashari Michael Ardita Mohammad Alfa Z Fikri Mohammad Syafa' Karim Amrulloh Muhammad Sakhalish Zayyan Muhammad Sya’roni Muhammad Taufikurrachman Nicola Natha Teopilus Ginting Obed Dyan Winarto Purwoko Suryo Wibowo Purwoko Suryo Wibowo Qurrotun Ainun Najib Radimas Putra Muhammad Davi Labib Rakhman, Aditya Djulqodri Refsi Hanindya Abdillah Reynaldi Ramlan Roichan Nafis Sakhalish Zayyan, Muhammad Septa Yudha Prasetya Setiawan, Katon Bagus Sotyohadi Sotyohadi , Sotyohadi Timothy K. Shih Tipajin Thaipisutikul Trio Wahyu Saputro Wahyu Krisna Wijaya Wahyu Surya Dewa Wilhan Jechovanda Susant0 Yoga Prasetyo