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All Journal Conference SENATIK STT Adisutjipto Yogyakarta Electrician : Jurnal Rekayasa dan Teknologi Elektro
Mahardika Yoga Darmawan
Institut Teknologi Sumatera
Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Application of Linear Regression Analysis Model on Early Warning System for Inefficiency of Electricity Usage Rahman Indra Kesuma; Hafiz Budi Firmansyah; Mahardika Yoga Darmawan
SENATIK STT Adisutjipto Vol 4 (2018): Transformasi Teknologi untuk Mendukung Ketahanan Nasional [ ISBN 978-602-52742-0-6 ]
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v4i0.258

Abstract

Recently the Indonesian people often get inefficiency of electricity usage. On the other side, in Indonesia, the electricity is mostly produced from steam power plant, which require fuel from non-renewable natural resources. So the highness of demand and the occurrence of inefficiency the electricity usage can increase the consumption of natural resource and the air pollution. Therefore, an early warning system are proposed in this study, become one of the various solution than can increase awareness of the people in efficiency of electricity usage. This system requires the input data of electricity usage in the last 6 months, that will be formed the electricity usage trend from each user using linear regression analysis. Furthermore, this trend will predict the electricity usage for next month, this is used as the limit to give the warning from the system. The outcome from this study is the system that can provide a warning to users if their electricity usage run over the certain limits.
Perancangan Alat Ukur Pergeseran Tanah Skala Laboratorium mahardika yoga darmawan
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 15 No. 2 (2021)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v15n2.2168

Abstract

Peristiwa tanah longsor merupakan salah satu bencana alam yang sering terjadi di beberapa wilayah Indonesia. Peristiwa ini terjadi dengan durasi yang cepat sehingga sering kali menimbulkan kerugian material. Untuk meminimalisasikan kerugian tersebut, perlu dilakukan metode pendeteksian fisis kejadian longsor dengan menggunakan sensor untuk mengukur pergeseran tanah. Pada penelitian sensor pergeseran tanah yang digunakan adalah potensiometer dan linear variable differensial transduser geser (LVDT) berbiaya rendah. Selain itu data fisis tambahan lainnya yang digunakan adalah sensor kelembabam tanah dan kemiringan tanah. Sistem sensor diujicoba pada skala laboratorium untuk mengetahui pengaruhnya terhadap pergeseran tanah. Nilai potensiometer geser dan LVDT dapat mengukur pegeseran tanah 0.5 mm dan menghasilkan grafik yang berpola linear dengan nilai galat rata rata 2 percent. Sistem tersebut juga disambungkan ke sistem IoT dengan jeda pengiriman data ke platform 15 detik.
Co-Authors Firmansyah, Hafiz Budi Rahman Indra Kesuma