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TELKOMNIKA Telecommunication, Computing, Electronics and Control
RoBERTa: language modelling in building Indonesian question-answering systems
This research aimed to evaluate the performance of the A Lite BERT
(ALBERT), efficiently learning an encoder that classifies token
replacements accurately (ELECTRA) and a robust optimized BERT
pretraining approach (RoBERTa) models to support the…
(ALBERT), efficiently learning an encoder that classifies token
replacements accurately (ELECTRA) and a robust optimized BERT
pretraining approach (RoBERTa) models to support the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Rice seed image classification based on HOG descriptor with missing values imputation
Rice is a primary source of food consumed by almost half of world
population. Rice quality mainly depends on the purity of the rice seed.
In order to ensure the purity of rice variety, the recognition process is an
essential stage. In this paper,…
population. Rice quality mainly depends on the purity of the rice seed.
In order to ensure the purity of rice variety, the recognition process is an
essential stage. In this paper,…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Review on controller design in pneumatic actuator drive system
A pneumatic actuator is a device that converts compressed air into mechanical energy to perform varieties of work. It exhibits high nonlinearities due to high friction forces, compressibility of air and dead band of the spool movement which is…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Review of microgrid protection strategies: current status and future prospects
A microgrid is a developed form of a distribution system, which is integrated with a set of different types of distributed generation (DG) to supply local demand. In spite of that microgrids have many advantages as they increase reliability, raise…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Resource placement strategy optimization for IoT oriented monitoring application
Cloud computing and the low power wide area network (LPWAN) network represent the key infrastructures for developing intelligent solutions based on the internet of things (IoT). However, the diversity of use cases and deployment scenarios of IoT in…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Reduce the probability of blocking for handoff and calls in cellular systems based on fixed and dynamic channel assignment
In cellular systems the high probability of blocking represents a big problem for users, the proposed solution by reducing the blocking probability and investigation cellular systems by method channels assignment. The aim from apaper is studying the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Reconfigurable ultra wideband to narrowband antenna for cognitive radio applications using PIN diode
Frequency reconfigurable antennas are very attractive for many wireless applications. They offer many advantages such as simplicity and compactness. In this electronic paper, we propose a reconfigurable antenna operating in the S and C bands. The…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Reconfigurable planar inverted-F antenna for radio frequency identification tag and global positioning system applications
This paper presents the design of a reconfigurable planar inverted-F antenna (PIFA). The proposed antenna is designed and optimized to operate in two frequency bands. 2.4 GHz allocated to the industrial, scientific and medical (ISM) band for the…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Recognizing emotional state of user based on learning method and conceptual memories
With the increased use of computers, electronic devices and human interaction with computer in the broad spectrum of human life, the role of controlling emotions and increasing positive emotional states becomes more prominent. If a user's negative…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Recent systematic review on student performance prediction using backpropagation algorithms
A comprehensive systematic study was carried out in order to identify various deep learning methods developed and used for predicting student academic performance. Predicting academic performance allows for the implementation of various preventive…