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All Journal ELKHA : Jurnal Teknik Elektro Prosiding SNATIF Jurnal Edukasi dan Penelitian Informatika (JEPIN) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Terapan Abdimas PROtek : Jurnal Ilmiah Teknik Elektro Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika INVOTEK: Jurnal Inovasi Vokasional dan Teknologi AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA IT JOURNAL RESEARCH AND DEVELOPMENT Indonesian Journal of Artificial Intelligence and Data Mining INOVTEK Polbeng - Seri Informatika Jurnal Sisfokom (Sistem Informasi dan Komputer) Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal RESISTOR (Rekayasa Sistem Komputer) Patria Artha Technological Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC) Jurnal Pengabdian Masyarakat Bumi Raflesia Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal Of Science, Technology & Management (IJSTM) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Irma Salamah
Politeknik Negeri Sriwijaya
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Transportation Other

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Journal : building of informatics technology and science

 1 
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.
Sistem Deteksi Gas Pintar Berbasis IoT dan Terintegrasi Fuzzy-Logic untuk Keamanan Distribusi Gas secara Realtime Azizah, Putri Nur; Taqwa, Ahmad; Salamah, Irma
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7331

Abstract

Abstract−LPG gas is a widely used fuel for daily needs in households, industry, and commercial sectors. Although easy to use and affordable, LPG contains highly flammable compounds that can cause fires and explosions, especially if leaks go undetected. Field surveys show that most gas agents or depots still use manual methods relying on the sense of smell to detect gas leaks. This approach does not provide optimal or accurate results, making it ineffective and potentially harmful to health when excessive gas is inhaled. Therefore, this research aims to design a gas leak detection system based on the Internet of Things (IoT) using the Fuzzy Tsukamoto algorithm integrated with the Blynk application. The method involves the design of hardware and software using three sensors as input parameters: MQ-6 (gas), DHT22 (temperature), and Flame Sensor (fire), which are processed by the ESP32 microcontroller through fuzzy logic rules. The system outputs include a visual LED indicator, buzzer activation, status display on the LCD, notifications via Blynk, and automatic fan response to neutralize the gas. Based on results simulation and testing under three environmental condition scenarios, the system is able to detect gas leaks with average error of 0.315% and accuracy of 90.55%. This study demonstrates a reliable, effective, and responsive gas leak detection system. It is expected that the system can minimize the potential dangers of gas leaks and enhance gas storage safety.
Co-Authors AA Sudharmawan, AA Abdillah, Depran Abdul Rakhman Agnes Manik, Agnes Ahmad Jazuli Ahmad Taqwa Aliffiyah, Muhammad Bayu Alisya, City Ardhela Anggielita, Renata Anggraini, Nur Septi Aryanti Aryanti Asriyadi Asriyadi Astari, Devina Bambang Pratama, Bambang Cendrakasih, Aminah Chairunnisa, Dita Ayu Ciksadan Eka Susanti Elmerillia, Elmerillia Emilia Hesti Endri, Jon Fadhli, Mohammad Gustina, Meli Handini, Wulan Tri Hj. Lindawati Humairoh, Sherina Irawan Hadi Irma Suryani Julianti, Amelia Kurniasih, Wahyuni Kusmanto, RD. Kusumanto, R.D Lindawati Lindawati M. Aris Ganiardi, M. Aris Malinda, Threa Martinus Mujur Rose Mursalin, Zaldy Gumilang Nasron Nasron Ningrum, Shinta Sulistiya Noviani, Fadiah Nurhajar Anugraha Nurmalasari, Aprilliya Oktavia, Nadia Primulia, Muhammad Filly Putri Nur Azizah, Putri Nur Putri, Jullia Fatriana R.A., Halimatussa’diyah Rafiif, Muhammad Rahmadaniar, Desi Rahman, Wahyudi Rahmika, Rahmika Rakhman, Abdul Halim RD Kusumanto Reza Umami, Reza Rosa, Adelia Rose, Mujur Saskia, Kevi Agis Shendy Pratama Sholihin Sholihin Soleh, M. Zikri Sopian Soim, Sopian Suroso Suroso suzan zefi syafitri, kurnia Syaniah, Yunita Thayyib, Ahmad Reza Ulhaq, Nida Dhia Valerie, Michelle Wibowo, Muhamad Arya Al Ghifari Wulandari, Alysiah