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All Journal SISFOTENIKA JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Infomedia
Uyock Anggoro Saputro
Universitas Amikom Yogyakarta
Computer Science & IT

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The Effect Of Connectivity On Smart Safety Light Sign Muhammad Nurhuda H; Wakhid Wijaya; Uyock Anggoro Saputro
SISFOTENIKA Vol 12, No 1 (2022): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v12i1.1214

Abstract

The higher the community's mobility and the more road users, the more the risk of accidents on the road will increase. Indonesia itself is ranked 5th in the world with the highest accident rate. Many factors influence the occurrence of accidents, not only from humans but also from nature. It could also be due to limited road information for motorists in traffic signs. As a driver's information medium, signs should have a strategic point and be easy to see for motorists. One way to do this could be to modernize signs by utilizing newer technologies such as sensors and LEDs. This study proposes a prototype of a traffic sign using sensors, LEDs, and an Arduino microcontroller. The proposed sign is a bend indicator LED light attached to sharp turns and automatically lights up as the vehicle passes around the sign sensor. The sensor used is an ultrasonic sensor HC-SR04 which has a response distance of up to 4 meters. The research focuses on the media connection between devices with wired and wireless media. This study will test the results of sensor accuracy values with wired and wireless connectivity.
Sistem Deteksi Kebakaran Berbasis Internet Of Things Dengan Pesan Peringatan Menggunakan NodeMCU ESP8266 Dan Platform ThingSpeak Uyock Anggoro Saputro; Agus Tuslam
Jurnal Infomedia:Teknik Informatika, Multimedia & Jaringan Vol 7, No 1 (2022): Jurnal Infomedia
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jim.v7i1.2958

Abstract

Kebakaran sangat sering terjadi karena hubungan pendek arus listrik atau karena kebocoran gas dan lambatnya penanganan yang mengakibatkan semakin membesarnya api, sehingga menyebabkan banyak kerugian. Oleh karena itu, kebakaran yang terjadi harus terdeteksi dengan cepat untuk mencegah ancaman lain. Kondisi ini dapat terdeteksi dengan cepat menggunakan Internet Of Things (IOT), untuk mendeteksi tempat di mana lokasi terjadinya kebakaran, menggunakan sensor yang terintegrasi dengan sistem yang terhubung menggunakan jaringan internet untuk mengirimkan pesan peringatan pada ponsel melalui aplikasi Blynk dan mengirimkan titik lokasi pada layanan darurat (pemadam kebakaran) menggunakan pesan Email, dalam sistem pendeteksi kebakaran menggunakan beberapa sensor, seperti sensor suhu, sensor api, dan sensor asap. Dari sensor tersebut, mengirimkan sinyal ke sistem untuk memeriksa kondisi pada saat itu dan jika sistem mendeteksi kebakaran maka sistem akan mengirimkan pesan pada ponsel pengguna, dan mengirimkan pesan lokasi ke pemadam kebakaran. Sistem yang dibuat untuk mengurangi terjadi kebakaran besar dan meminimalkan alarm palsu dengan menambahkan kamera untuk memantau langsung melalui handphone pada saat terjadinya kebakaran. Experiment ini menunjukkan keunggulan dari sistem yang efektivitas, pergunakan daya rendah, menggunakan platform ThingSpeak dan menghasilkan sistem yang berguna untuk mendeteksi kebakaran
Layered Authentication Optimization in IoT-Based Package Receiving System using Voice-Trigger and PIN Verification Mulia Sulistiyono; Muhtar Efendi; Uyock Anggoro Saputro; Bernadhed Bernadhed
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12228

Abstract

The rapid growth of courier and e-commerce services has increased the risk of package delivery problems, including unattended deliveries, package theft, and fraudulent claims by unauthorized recipients. To address these issues, this paper proposes the design and implementation of an Internet of Things (IoT)–based package receiving system that integrates voice recognition, PIN-based authentication, and remote monitoring capabilities. The proposed system employs a voice recognition module as an initial access trigger, followed by a keypad-based PIN verification derived from the package tracking number to enhance access security. A servo-controlled locking mechanism is used to physically open and close the package container, while real-time notifications and remote control are provided through a Telegram bot. The system supports two access modes: local access using voice commands and PIN input, and remote access via Telegram-based commands. System development follows a prototyping approach, and performance evaluation is conducted through functional testing, connectivity testing, and voice recognition accuracy measurements. Experimental results show that the voice recognition module achieves an average recognition accuracy of 74%, with recognition performance decreasing as the distance between the sound source and the microphone increases. Connectivity testing indicates that network latency remains within an acceptable range for distances up to 20 meters. Functional testing confirms that the locking mechanism, authentication process, and notification system operate reliably under defined test scenarios. The results demonstrate that the proposed system can serve as a practical IoT-based solution for improving package reception security and monitoring. However, the system is intended as a supportive security mechanism and does not replace advanced authentication or surveillance systems.
Co-Authors Agus Tuslam Bernadhed, Bernadhed Muhammad Nurhuda H Muhtar Efendi Mulia Sulistiyono Wakhid Wijaya