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Implementasi Sistem Pemantauan Kelayakan Kapal Pada Proses Pengujian Kapal Menggunakan Teknologi Internet of Things Pristovani, Dimas; Abu Jami’in, Muhammad; Singgih Setiyoko, Annas; Toto Wibowo, Alvalo; Leonard, Rikky
The Indonesian Journal of Computer Science Vol. 13 No. 6 (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.v13i6.4512

Abstract

A new ship must doing a sea trial inspection before handover to the owner based on International Maritime Organization regulation under Resolution MSC.137. Currently, these inspections are conducted manually. So, the Ship Qualification and Clasification System using Internet of Things (IoT) technology are highly needed. This system made up of hardware connected to an Android application and a web-based application that monitors real-time data on position, speed, inclination, wind speed, and time. Data logger are performed simultaneously on the hardware, Android app, and web-based app, creating redundancy in data logging. In practice, The results of these trials ensure that the ship's technical specifications comply with agreed standards, as well as strengthening the confidence of all parties involved in the testing project. With this success, an IoT-based monitoring and analysis system can be a reliable solution for operational needs and evaluating ship performance
PREDIKSI KONTROL LAMPU SMARTHOME BERDASARKAN PERILAKU PENGGUNA DAN FAKTOR EKSTERNAL CAHAYA LUAR RUANGAN BERBASIS FUZZY LOGIC Oktavia, Shelly; Rachman, Isa; Endrasmono, Joko; Khumaidi, Agus; pristovani, dimas; Syai’in, Mat Syai’in
Jurnal Elektronika dan Otomasi Industri Vol. 11 No. 2 (2024): Vol. 11 No.2 (2024) : Jurnal Elkolind Vol.11, No. 2, 2024 (Juli 2024)
Publisher : Program Studi Teknik Elektronika Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/elkolind.v11i2.5322

Abstract

Dalam upaya meningkatkan efisiensi penggunaan peralatan elektronik lampu di ruang Laboratorium Robotika dan AI seluas 137,24 m² berdasarkan SNI 16-7062-2019, penelitian ini mengusulkan sistem otomatis yang mampu memprediksi kontrol nyala lampu berdasarkan perubahan kondisi cahaya luar (eksternal) dan cahaya dalam (internal) secara real-time menggunakan metode pengendalian Fuzzy Logic dan Decision Tree C4.5. Penelitian ini bertujuan untuk memperoleh intensitas cahaya lampu yang optimal berdasarkan perubahan cuaca yang mempengaruhi cahaya lingkungan sekitar. Hasil penelitian menunjukkan bahwa lampu pintar berjenis LED Strip dengan kontrol nilai PWM dapat menyesuaikan warna nyala lampu berdasarkan korelasi cahaya luar dan dalam secara optimal, dengan tingkat kesalahan hanya sebesar 0,5%. Kombinasi metode Fuzzy Logic dan Decision Tree pada peralatan elektronik lampu memberikan kinerja yang akurat dan tepat sesuai dengan kondisi yang terjadi saat itu.