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All Journal Journal of System and Computer Engineering Indonesian Journal of Intellectual Publication (IJI Publication)
Enal Wahyudi, Abdi
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Social Sciences

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Pengenalan Jenis Kupu-Kupu Menggunakan Augmented Reality Berbasis Android Enal Wahyudi, Abdi
Indonesian Journal of Intellectual Publication Vol. 3 No. 3 (2023): Juli 2023, IJI Publication
Publisher : Unit Publikasi Ilmiah Perkumpulan Intelektual Madani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51577/ijipublication.v3i3.419

Abstract

Penelitian ini bertujuan untuk membuat dan mengimplementasi aplikasi pengenalan jenis kupu-kupu menggunakan Augmanted Reality berbasis android dalam membantu pengguna mengenali jenis kupu-kupu. Desain penelitian yang digunakan dalam penelitian ini adalah UML yang didesain secara terstruktur yang terdiri dari perancangan model use case diagram, activity diagram, dan sequence diagram. Software yang digunakan dalam membangun sistem ini adalah unity, vuforia SDK, blender, dan android. Dalam penelitian ini pengumpulan data diperoleh melalui observasi dan wawancara mengenai informasi tentang jenis kupu-kupu. Hasil dari penelitian ini menunjukkan bahwa aplikasi berbasis android menampilkan animasi 3D dan keterangan mengenai kupu-kupu, aplikasi ini dapat digunakan untuk membantu pengguna dalam mengetahui identitas kupu kupu, dan aplikasi ini menggunakan Augmanted Reality dengan menggunakan teknik markerless.
Implementation of an Internet of Things (IoT)-Based Air Quality Monitoring System for Enhancing Indoor Environments Enal Wahyudi, Abdi; Kurniyan Sari, Sri; Aziz, Firman; Jeffry, Jeffry
Journal of System and Computer Engineering Vol 6 No 1 (2025): JSCE: January 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i1.1466

Abstract

This research investigates the development and implementation of an IoT-based air quality monitoring system designed to improve indoor environmental conditions. The primary objective of this study is to develop a comprehensive system that continuously monitors air quality parameters, including smoke, LPG gas, carbon monoxide (CO), temperature, and humidity. The system integrates real-time data collection from various sensors, which is then processed and transmitted to a cloud platform for secure storage and detailed analysis. The user-friendly interface of the software allows for intuitive monitoring and reporting, while built-in notification and alert features ensure timely responses to significant air quality changes. Testing results demonstrate that the system operates with high reliability, providing accurate data and stable performance. The findings confirm that the system effectively addresses indoor air quality concerns and offers valuable insights for maintaining a healthy and safe environment. This research contributes to the field by showcasing a practical application of IoT technology in environmental monitoring.
Co-Authors Firman Aziz Jeffry Jeffry Kurniyan Sari, Sri