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All Journal Perfecting a Video Game with Game Metrics Jurnal Ilmiah FIFO Indonesian Journal of Electrical Engineering and Computer Science
Aziza, Rosida Nur
Jurusan Teknik Informatika, STT PLN
Computer Science & IT

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Journal : Perfecting a Video Game with Game Metrics

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The design of a smart home controller based on ADALINE Puji Catur Siswipraptini; Rosida Nur Aziza; Iriansyah Sangadji; Indrianto Indrianto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 4: August 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i4.14893

Abstract

This paper proposes a prototype of an improved smart home controller that implements a neural network-based algorithm for enabling the controller to make decisions and act based on the current condition. Unlike previous approaches, this design also utilizes the use of IoT (internet of thing) technology and neural network based-algorithm for developing the controller. Since a smart home is equipped with various sensors, actuators, smart appliances, and mobile terminals, all of these devices need to be connected to the Internet to be able to communicate and provide services for its occupants. The construction of the proposed controller is carried out through several procedures, i.e. the implementation of the ADALINE (adaptive linear) as the neural network method, the design of the smart home controller prototype, and the validation process using mean average percentage error (MAPE) calculation. This prototype integrates functionalities of several household appliances into one application controlled by a smartphone. ADALINE is applied as an algorithm to predict output when the controller is in automatic mode. Although the obtained accuracy value is still not satisfactory, the value is bound to change when testing on more data. The work published in this paper may encourage the implementation of smart technology in more households in Indonesia. 
Optimization of smart traffic lights to prevent traffic congestion using fuzzy logic Dian Hartanti; Rosida Nur Aziza; Puji Catur Siswipraptini
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.10129

Abstract

One of the main causes of traffic congestion, especially at intersections, is because traffic lights have not been able to show the right time according to the existing traffic conditions. Time settings based on peak/off-peak traffic lights are not enough to handle unexpected situations. The fuzzy mamdani method makes decisions with several stages, the criteria used are the number of vehicles, the length of the queue and the width of the road to be able to optimize the time settings based on the real-time conditions required so that unwanted green signals (when there is no queue) can be avoided. The purpose of this research is to create a simulator to optimize traffic time management, so that the timers on each track have the intelligence to predict the right time, so that congestion at the intersection can be reduced by adding up to 15 seconds of green light from the previous time in the path of many vehicles.
Co-Authors Abdurrasyid, Abdurrasyid Efy Yosrita Givary Muhammad Indrianto Indrianto Iriansyah BM Sangadji Meilia Nur Indah Susanti, Meilia Nur Ningrum, Rahma Farah Rizqia Cahyaningtyas Siswipraptini, Puji Catur