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All Journal Building of Informatics, Technology and Science JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Engineering, Electrical and Informatics
Julianti, Amelia
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Perancangan Helm Pintar dengan Fitur Keselamatan Deteksi Kantuk Berbasis NodeMCU dan Accelerometer Julianti, Amelia; Salamah, Irma; Hesti, Emilia
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5534

Abstract

Driving safety is a major focus given the high number of accidents caused by drowsy drivers. This article discusses the design of a smart helmet that detects drowsiness to improve rider safety. The smart helmet integrates technology with drowsiness detection to reduce the risk of accidents and provide a safer driving experience. The system uses NodeMCU and MPU6050 Accelerometer to monitor head movement, activating an alarm if the head moves more than 5 degrees, which indicates drowsiness or loss of focus. It is expected that the risk of accidents due to drowsiness can be significantly reduced with this approach. The test results show that the system is able to effectively detect unusual head movements and provide a quick alarm response, thus improving driving safety as expected. In the context of this measurement, the lower error values of 0.70% and 1.18% indicate that the MPU6050 sensor provides more accurate results in measuring the angle against a given reference angle. The angle measurement results between the reference and the MPU6050 sensor show that the value obtained from the sensor is not much different from the reference angle. Although there is a slight difference, the accuracy of the MPU6050 is still reliable for practical purposes, showing consistent performance and close to the actual value. This indicates that the MPU6050 sensor is capable of providing quite precise results, so it can be used as an effective angle measuring device in various applications. The integration of this sensor into smart helmets enables early detection of signs of drowsiness, which can then activate automatic alerts to improve driver safety. Test results also demonstrated the helmet's ability to monitor and send real-time data to ThingSpeak, providing easy-to-understand visualizations, historical data storage, and automatic notifications when signs of drowsiness are detected.
PERANCANGAN UI/UX PADA APLIKASI PENERIMAAN PESERTA DIDIK BARU (PPDB) DI SD PLUS AL-MUHAJIRIN BERBASIS WEB DENGAN METODE DESIGN THINKING Julianti, Amelia; Kaniawulan, Ismi; Sulistio, Imam
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 8 No. 5 (2024): JATI Vol. 8 No. 5
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v8i5.10876

Abstract

SD Plus Al-Muhajirin merupakan salah satu sekolah dasar pendidikan Islam terpadu yang berada di Jalan Veteran No. 155 Kebon Kolot Kabupaten Purwakarta. Selama ini proses Penerimaan peserta didik baru (PPDB) dilakukan secara langsung dengan cara mendistribusikan formulir pendaftaran yang disediakan oleh panitia. Selain itu, penggunaan formulir online juga belum mampu mengolah data calon siswa secara baik dan melakukan verifikasi. Hal tersebut berpotensi menimbulkan kesalahan dalam pengisian informasi oleh orang tua atau wali siswa calon. Penelitian ini bertujuan untuk merancang User Interface dan User Experience pada Aplikasi Penerimaan Peserta Didik Baru (PPDB) berbasis website. Metode penelitian yang digunakan adalah Design Thinking yang terdiri dari 5 tahapan, yaitu empathize, define, ideate, prototype dan testing. Adapun Tools yang digunakan pada tahap empathize yaitu emphaty map, define, user persona, ideate, user flow, wireframe, prototype, support testing. Hasil pengujian dengan System Usability Scale (SUS), menunjukkan bahwa, berdasarkan metode perancangan dan pengujian dalam penelitian ini, diperoleh nilai rata-rata 78,5 dengan grade B melalui kuesioner pada tahap Testing yang melibatkan oleh lima orang responden. Hasil ini menunjukkan bahwa rancangan UI dan UX untuk Aplikasi Penerimaan Peserta Didik Baru (PPDB) ini dapat diterima dan sesuai dengan kebutuhan pengguna.
Designing an Early Fire Detection System for Smart Homes: An IoT Simulation Using Wokwi Integrated with the Blynk Application Dhoni Setyanto; Julianti, Amelia
Journal of Engineering, Electrical and Informatics Vol. 5 No. 3 (2025): October: Journal of Engineering, Electrical and Informatics
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v5i3.6532

Abstract

Fire is a disaster that carries serious consequences, both in terms of human casualties and material losses. Such incidents can occur in various locations, including offices, public facilities, forests, and especially residential areas. Technological advances, particularly the Internet of Things (IoT), present an opportunity to develop automated early fire detection systems. The objective of this study is to design an IoT-based residential fire detection system. The tools utilized in this research include the Blynk application, the Wokwi platform, and various sensors. Based on the results of the design process, simulation, and testing of the IoT-based residential early fire detection system conducted using an ESP32 microcontroller and the Blynk application, it can be concluded that the system is capable of effectively performing early detection of potential fire hazards. Integration with the Blynk application allows this system to be monitored and controlled remotely via smartphone. Through the Blynk dashboard, users can view real-time sensor data, receive hazard notifications, and manually control devices such as windows and water pumps. This feature enhances the system's flexibility in providing early warnings and reduces the risk of fire hazards in residential environments.
Co-Authors Dhoni Setyanto Emilia Hesti Irma Salamah Ismi Kaniawulan, Ismi Mochammad Imam Sulistyo Sarjowo