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ROBOT OBSTACLE AVOIDANCE DENGAN ALGORITMA Q-LEARNING Indra Agustian; Alex Surapati; Aji Arya Dewangga; Ruvita Faurina
TEKTRIKA Vol 5 No 2 (2020): TEKTRIKA Vol.5 No.2 2020
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v5i2.3998

Abstract

Perancangan prototipe robot obsctale avoidance tipe beroda dengan menerapkan algoritma Q-Learning telah diimplementasikan pada penelitian ini. Robot dirancang menggunakan mikrokontroler ATMega2560 pada platform Arduino Mega2560 sebagai pusat kontrol. Robot dilengkapi dengan lima sensor ultrasonik HC-SR04 dan lima sensor IR sharp GP2Y0A21YK0F. Posisi rintangan dibagi menjadi zona dan sektor. Zona menunjukkan posisi kanan atau kiri dan sektor adalah posisi sudut. Berdasarkan kombinasi nilai zona dan sektor, state terdiri atas 144 kondisi, sedangkan action dibagi menjadi lurus, kanan dan kiri. Dari 300 kali percobaan, nilai optimal learning rate konvergen di angka 0,5 dan discount factor di angka 0,9 setelah mencapai 250 percobaan. Robot mampu beradaptasi dengan cepat pada rintangan statis, dan lebih lama pada rintangan dinamis. Robot akan terus memperbarui nilai reward untuk beradaptasi pada setiap eksplorasi baru. Kata Kunci: reinforcement learning, q-learning, robot beroda, obsctale avoidance, navigasi robot.
Leveraging Smart Energy Meters for Precise Electricity Consumption Monitoring in Healthcare Facilities : (Rumah Sakit Tiara Sella, Kota Bengkulu, Provinsi Bengkulu) Novalio Daratha; Hendy Santosa; Dedi Suryadi; Aji Arya Dewangga; Adhadi Kurniawan; Arie Vatresia; Firtrianty Wardhani
Dharmakayana Vol 2 No 1 (2025): Mei : Dharmakayana: Journal of scientists, engineers, educators and scientific ac
Publisher : Program Studi Teknik Mesin, Fakultas Teknik Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/dk.v2i1.39683

Abstract

The creation, transmission, distribution, and consumption of electrical energy are the first steps in the provision of electrical energy. The efforts that are made to conserve energy need to be continuously improved to supply electricity that is affordable. In order to conserve energy, it is necessary to have the backing of technology, laws, and legislation, in addition to applying behavioral discipline to those who utilize energy. To put it simply, a smart energy meter is one of the fundamental components of conservation technology. At the moment, the bulk of PLN's 67.6 million clients make use of traditional energy meters that are powered by electromechanical technology. The measuring device has not been incorporated with the technology that is associated with the internet of things (IoT). On the other hand, electronic items like televisions, washing machines, and air conditioners have started to adopt the Internet of Things and become smart devices. The integration of smart gadgets and smart meters enables the creation of an energy management system that can be used to the consumption and distribution of electricity in residential or commercial facilities. At Tiara Sella Hospital, which has a high monthly energy consumption, this community service project was carried out in order to measure the optimization of energy use and to determine opportunities for improvement. It is believed that the installation of this energy meter would result in improved and more reliable methods of measuring and estimating the amount of energy that is utilized within the hospital setting, which will allow for more sustainable optimization efforts.