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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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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.
PROTOKOL ROUTING PADA VANET: TAKSONOMI DAN ANALISIS PERBANDINGAN ANTARA DSR, AODV, DAN TORA Rosida Nur Aziza; Puji Catur Siswipraptini; Rizqia Cahyaningtyas
Jurnal Ilmiah FIFO Vol 9, No 2 (2017)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2017.v9i2.002

Abstract

VANET yang merupakan bagian dari MANET  adalah teknologi yang memungkinkan komunikasi nirkabel antar berbagai kendaraan yang bergerak atau antara kendaraan dengan unit komunikasi yang terdapat di sepanjang  jalan.  VANET dikembangkan untuk mendukung ITS  dalam meningkatkan keselamatandi  jalan raya dan efisiensi lalu lntas.  Jaringan ad-hoc ini juga dirancang untuk memungkinkan pertukaran pesan-pesan peringatan antar kendaraan untuk meningkatkan keselamatan penumpang dan informasi-informasi lain terkait dengan aplkasi dan layanan VANET. Untuk mewujudkan hal tersebut, ada beberapa hal yang perlu dipertimbangkan supaya VANET dapat beroperasi denganbaik. Hal-hal tersebut antara lain  masalah keterbatasan bandwidth, keamanan, skalabilitas, protokol kendali akses media (MAC) dan mekanisme routing. Ada beberapa karakteristik khusus dari  VANET yang perlu diperhatikan oleh protokol routing, antara lain :  mobilitas node yang tinggi, jumlah dan kepadatana node yang tidak tetap, dan topologi jaringan yang terus berubah.  Diperlukan protokol routing tertentu untuk  mewujudkan komunikasi yang handal, kontinyu dan tanpa batas antar node pada VANET.  Secara garis besar, protokol  routing pada VANET dikelompokkan menjadi dua: kelompok protokol yang berdasarkan posisi kendaraan dan kelompok yang berdasar pada topologi jaringan. Tulisan ini akan membahas mengenai protokol routing DSR, AODV, TORA dan menjelaskan bagaimana ketiga protokol reaktif ini menjalankan mekanisme routing pada VANET. Kelebihan dan kekurangan dari ketiga protokol tersebut juga akan dianalisis dengan didukung oleh beberapa hasil simulasi dari penelitian-penelitian yang telah dilakukan sebelumnya.
Perancangan Animasi Pembangkit Listrik Biomassa dan Sampah Sebagai Bagian dari Listrik Kerakyatan untuk Media Pembelajaran Rosida Nur Aziza; Meilia Nur Indah Susanti; Abdurrasyid Abdurrasyid; Puji Catur Siswipraptini
Jurnal Ilmiah FIFO Vol 10, No 1 (2018)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2018.v10i1.001

Abstract

Kebutuhan akan listrik di Indonesia semakin meningkat. Salah satu usaha untuk memenuhi kebutuhan listrik di Indonesia adalah dengan melibatkan masyarakat untuk membangun pembangkit listrik yang berbahan bakar biogas dan biomassa, baik yang berasal dari sampah atau berbagai jenis tanaman yang sesuai.  Pembangkit listrik yang dikenal sebagai Pembangkit Listrik Biomassa ini sudah banyak diterapkan di berbagai kota di Indonesia, namun proses pembuatannya masih belum diketahui oleh masyarakat. Oleh karena itu, penelitian ini akan menghasilkan animasi Pembangkit Listrik Tenaga Sampah (PLTSa) dan Pembangkit Listrik Biomassa untuk sarana edukasi bagi masyarakat. Pembuatan animasi ini menggunakan bahasa pemrograman Visual Basic.Net dan metode pengembangan Multimedia Development Life Cycle (MDLC), yang dimulai dimulai dari pengumpulan data, perancangan multimedia dan hasil yang dicapai adalah berupa animasi.
Denoising of EEG signal based on word imagination using ICA for artifact and noise removal on unspoken speech Efy Yosrita; Rosida Nur Aziza; Rahma Farah Ningrum; Givary Muhammad
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i1.pp83-88

Abstract

The purpose of this research is to observe the effectiveness of independent component analysis (ICA) method for denoising raw EEG signals based on word imagination, which will be used for word classification on unspoken speech. The electroencephalogram (EEG) signals are signals that represent the electrical activities of the human brain when someone is doing activities, such as sleeping, thinking or other physical activities. EEG data based on the word imagination used for the research is accompanied by artifacts, that come from muscle movements, heartbeat, eye blink, voltage and so on. In previous studies, the ICA method has been widely used and effective for relieving physiological artifacts. Artifact to signal ratio (ASR) is used to measure the effectiveness of ICA in this study. If the ratio is getting larger, the ICA method is considered effective for clearing noise and artifacts from the EEG data. Based on the experiment, the obtained ASR values from 11 subjects on 14 electrodes amounted are within the range of 0,910 to 1,080. Thus, it can be concluded that ICA is effective for removing artifacts from EEG signals based on word imagination.
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