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Journal : The Indonesian Journal of Computer Science

Perancangan Sensor Terdistribusi untuk Pendeteksi Gempa Bumi Menggunakan Protokol Komunikasi MQTT Ichwana Putra, Dody; Ekariani, Shelvi
The Indonesian Journal of Computer Science Vol. 12 No. 3 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i3.3241

Abstract

Sebagai ibu kota Provinsi Sumatera Barat, Kota Padang memiliki risiko tinggi terhadap gempa bumi dan tsunami karena letaknya di antara dua lempeng benua dan adanya Patahan Semangko. Beberapa tempat perlindungan di Padang berfungsi sebagai lokasi evakuasi dan penyelamatan saat terjadi tsunami. Paper ini menyajikan sebuah sistem pendeteksi gempa bumi yang menggunakan sensor terdistribusi. Identifikasi gempa bumi dilakukan dengan menghitung nilai Peak Ground Acceleration (PGA) dari gelombang P dan gelombang S menggunakan sensor piezoelektrik dan akselerometer. Sistem yang diusulkan merupakan jaringan sensor node terdistribusi yang berkomunikasi menggunakan protokol MQTT. Untuk mengevaluasi kinerja sistem, kami mengimplementasikannya menggunakan Raspberry Pi, sensor piezoelektrik, akselerometer MPU-6050, dan modul Xbee untuk komunikasi data. Hasil eksperimen menunjukkan bahwa sistem ini dapat mendeteksi magnitudo dan intensitas gempa bumi dengan akurat.
Design and Implementation of a Microcontroller-Based Water Turbidity Detector Utilizing the Nephelometric Turbidity Unit Method Ichwana Putra, Dody; Ekariani, Shelvi
The Indonesian Journal of Computer Science Vol. 12 No. 5 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i5.3434

Abstract

The objective of this study is to create a water turbidity detection system, aiding customers of a municipal water supply company in preserving the quality of water for everyday use. The aim is to prevent the mingling of stored clean water with turbid water when the tap is turned on. To achieve this, we employ a smartphone as a remote control device, enabling users to monitor the water's condition remotely. The study's findings demonstrate that this system adeptly manages the water separation process based on its condition, allowing manual control via Bluetooth communication within a maximum range of 10 meters. This setup provides two control options: activating and deactivating the water channel through a solenoid valve. Test outcomes indicate the system effectively segregates the water as per its condition and promptly follows user directives.
WISE-Energy: Wireless Integrated Smart Energy Systems Ichwana Putra, Dody; Ekariani, Shelvi
The Indonesian Journal of Computer Science Vol. 13 No. 5 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i5.4139

Abstract

This paper introduces WISE-Engergy, Wireless Integrated Smart Energi Systems. This system is designed to optimize indoor electricity usage by fostering user awareness of energy-saving practices. Users are reminded to turn off electrical devices when leaving the room through notifications on an Android smartphone application. The research aims to increase public awareness of the importance of energy conservation and to apply technology to achieve higher energy efficiency. The contribution of this research lies in the development of an innovative energy-saving system that can be implemented in various indoor environments to support sustainable energy-saving efforts. The test results show that this system successfully achieves its intended goals. The notifications sent to the last user in the room effectively encouraged them to turn off the lights upon leaving. The WSN communication test between room 1 and room 2 also demonstrated that the system could transmit power data from room 2 to room 1 via the XBee module. System evaluation and testing indicated that SENIOR successfully notified users to turn off electrical devices. This research makes a significant contribution to addressing energy-saving challenges and promoting an energy-saving culture in the community.