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Sistem Kendali Kipas Angin Berbasis Webserver dengan Wifi Point To Point Sujono; Nur Khafidhoh; Munawarah
Computech : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Vol. 2 No. 2 (2022): Juli 2022
Publisher : AMIK

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Abstract

Pada saat ini perkembangan teknologi sangat cepat teknologi yang mana untuk memudahkan kerja manusia dan memberi solusi masalah dengan lebih cepat dan akurat, teknologi sering digunakan untuk setting dan control peralatan menggunakan kabel maupun wireless. Saat ini masyarakat masih menggunakan kipas angin untuk membantu menyejukan suhu ruangan karena tidak membutuhkan watt listrik yang besar, banyak peralatan rumah yang mengunakan listrik seperti kipas angin ini memiliki kelemahan yaitu masih secara manual untuk hidupkan dan mematikan. Penelitian ini bertujuan menghasilkan peralatan otomatis digunakan untuk memudahkan pekerjaan, menghindari kontak langsung yang berbahaya, efesiensi, dan waktu. Sistem kerja alat pada penelitian ini adalah memanfaatkan wifi point untuk mengendalikan peralatan rumah tangga serta membuat webserver pada nodemcu untuk mengendalikan kipas angin. Metode penelitian yang digunakan yaitu metode waterfall dimulai dari proses perencanaan, analisa, desain, dan implementasi pada sistem
PENGEMBANGAN SISTEM DETEKSI KEBOCORAN PIPA AIR PADA RUMAH KOS BERBASIS WEB Achmad Sulthon Hadi; sujono
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 6 No. 1 (2026): MEI : JURNAL INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v6i1.1590

Abstract

Water wastage in boarding houses is often caused by undetected pipe leakage due to the lack of real-time monitoring systems. This condition can lead to increased operational costs and potential structural damage. This study aims to develop a web-based water pipe leakage detection analysis system using Internet of Things (IoT) technology. The system utilizes an ESP8266 (microcontroller) and a water flow sensor to identify abnormal water flow patterns. Data is processed using PHP and MySQL and presented through a web-based dashboard in the form of graphs and tables. The system was developed using the Waterfall method. The results indicate that the system is able to accurately distinguish water flow characteristics. Based on blackbox testing, all functional features achieved 100% validity. The system successfully identifies a "Leakage Detected" status when continuous water flow exceeds the defined duration threshold without user activity and assigns a "Normal" status when the flow corresponds to typical usage patterns. This implementation proves to be effective as a monitoring tool for early detection and prevention of losses caused by water leakage.
Deteksi Lemari Terguling Berbasis IoT dengan Notifikasi Telegram untuk Keselamatan Anak Nanda Pratama Widya Iswara; Sujono
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 1 (2026): Februari: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i1.8559

Abstract

Household accidents involving children are often caused by furniture such as cabinets or shelves tipping over after being pushed or climbed on. This condition may result in serious injuries, therefore an early warning system that can quickly detect changes in furniture position is required. This study aimed to design and develop a cabinet or shelf tipping detection system based on the Internet of Things (IoT) with Telegram notifications as an alert medium for parents. The method used included hardware design using the ESP8266 module as the main controller and the MPU6050 sensor to detect tilt angles, as well as software design for data processing and message delivery through the Telegram Bot Application Programming Interface. The system worked by reading tilt angle data on specific axes and comparing them with predefined safety thresholds. When the angle exceeded the threshold, the system automatically sent warning messages to the parents’ smartphones. The test results showed that the system successfully detected dangerous tilt conditions and delivered notifications within a relatively short response time, indicating that it can function as an early warning system to improve child safety in home environments. This system is expected to assist parents in monitoring furniture stability and preventing accidents caused by tipping