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Electric Lamp Light Intensity System Using Blynk Based Internet of Things Saepurohman, Asep; Ramza, Harry; Sofwan, Agus
TIME in Physics Vol. 3 No. 1 (2025): March
Publisher : Universitas Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/timeinphys.2025.v3i1p20-30

Abstract

Internet of things (IoT) is a requirement that is being developed a lot in smart homes today. Currently, many technology developers create smart devices that can make human work easier. Smart home systems are one of them. In a smart home system, physical devices can communicate via the internet network or other near cable networks to monitor or control devices in a house or building. In order to be able to monitor or control the physical device is integrated with sensors and actuators. One implementation of a smart home is controlling the light intensity of the lights which can be adjusted using the sleader command on Blynk IoT which is installed on the smartphone. The aim of this research is for users to be able to control the light intensity of house lights by using the sleader command on the Blynk IoT application by house occupants. The method used in this research is IoT. IoT-based communication methods allow data exchange between devices. The result of this research is that a lighting control system can be built using Blynk IoT. A feature has been added to this system to control the electrical power that will enter the lamp, so that it can regulate the light intensity according to needs. The success of the system is influenced by the Blynk IoT response when giving a signal to the Node MCU 8266 and the DIMMER response when receiving a command signal from the NODE MCU8266.
Pemanfaatan Data Satelit Sentinel-1 dan Sentinel-2 untuk Deteksi Kapal Transhipment di Perairan Bintan Aprianto, Rizqi Naufal; Sahar, Fahmi; Hartuti, Maryani; Pinardi, Sofia; Ramza, Harry
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 5 No. 2 (2025): COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v5i2.3190

Abstract

Perairan Indonesia memiliki aktivitas pelayaran yang sangat tinggi, sehingga memerlukan sistem pemantauan yang andal untuk mendukung keselamatan navigasi, pengawasan maritim, dan pengelolaan sumber daya laut. Penelitian ini bertujuan untuk memanfaatkan data Sentinel-1, Sentinel-2, dan Automatic Identification System (AIS) dalam mendeteksi kapal di perairan Bintan. Deteksi kapal dari citra Sentinel-1 dilakukan dengan algoritma Constant False Alarm Rate (CFAR), yaitu teknik deteksi objek berbasis ambang batas dan klasifikasi untuk membedakan kapal dari latar perairan. Pada citra Sentinel-2, digunakan metode interpretasi visual untuk mengidentifikasi dugaan aktivitas transhipment. Data AIS digunakan sebagai acuan untuk memverifikasi posisi dan jenis kapal yang terdeteksi. Hasil penelitian menunjukkan bahwa integrasi data Sentinel-1, Sentinel-2, dan AIS mampu meningkatkan akurasi dalam identifikasi kapal, termasuk kapal yang tidak dilengkapi perangkat AIS. Tercatat lima kejadian dugaan transhipment pada 13 September 2024 dan tujuh kejadian pada 12 November 2024. Hasil ini menjadi dasar awal bagi pihak pengamanan maritim untuk melakukan analisis lebih lanjut guna mendukung pengambilan keputusan yang tepat.