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A Novel Detection Strategy for Kidnapped Robot Problem in Monte Carlo Localization Using Corridor-Type Map Iksan Bukhori; Zool Hilmi Ismail; Tohru Namerikawa
Journal of Electrical And Electronics Engineering Vol 2, No 1 (2018): JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2121.422 KB) | DOI: 10.33021/jeee.v2i1.706

Abstract

This paper proposed a novel method to detect the kidnapped robot problem event in Monte Carlo Localizationin corridor-like map. The proposed method is aimed towards overcoming two commmon drawbacks from existing methods of detection, namely the inability to stay accurate across wide array of particles’ convergence level, and a high dependency on the success of recovery process. This objective is achived by combining the difference in particle’s weight, maximum current weight, and difference in particles’ standard deviation. The addition of these two parameters makes the proposed method to be superior to pure maximum current weight parameter for kidnapping detection. A series of simulation tests using corridor-like map are executed to test the claim. These simulations show that the proposed method outperforms the maximum current weight parameter in terms of accuracy, ability to detect kidnapping during early stage of localization, and independency towards the success of the re-localization process.
Solar Panel Measurement System using Arduino with Bluetooth Al Qindi M. Yusuf; Evanco Hollis N.P. Simangunsong; Indah Tria Wilyani; Iksan Bukhori
Journal of Electrical And Electronics Engineering Vol 3, No 1 (2019)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (351.555 KB) | DOI: 10.33021/jeee.v3i1.1404

Abstract

This project aims to develop a measurement of solar energy using Arduino. In this research, two parameters that been measured are light intensity and the voltage. The light intensity was measured using light dependent resistor (LDR) sensor. The voltage was measured using the voltage divider because the voltage generated by the solar panel are large for the Arduino as receiver. These parameters as the input value for the Arduino and the output was display at the Arduino Bluetooth Controller. The Arduino Bluetooth controller display output of the light intensity and the voltage value. The purpose of using Arduino is to convert the analog input of parameter to the digital output and display via Bluetooth .
Robotic Arm Using Servo Motor and Arduino Uno Controlled with Potentiometer Shulhan Shulhan; Farhan Astwensa; Fikrie Reza Fauzan; Iksan Bukhori
Journal of Electrical And Electronics Engineering Vol 3, No 2 (2019)
Publisher : President University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.665 KB) | DOI: 10.33021/jeee.v3i2.1488

Abstract

Robotic arm has been widely used in many applications, especially in industry. With this kind of advancement, the needs to introduce this technology to students at early age has increased. However, many students still consider this kind of technology as something out of reach. This project aims to create a very simple robotic arm using servo motor and materials which can be easily obtained around the household. The resulting robot is also programmable and electronically movable, thus enabling more freedom of how to move it. This in turn create a good introductory tool for the students to learn about the structure and motion of robotic arm.
English An implementation of smart agriculture for optimizing growth using sonic bloom and IoT integrated Mia Galina; Cutifa Safitri; Iksan Bukhori; Arthur Silitonga; Antonius Suhartomo
JURNAL INFOTEL Vol 14 No 1 (2022): February 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i1.725

Abstract

This paper proposes the implementation of IoT-based agriculture monitoring with audio growth (sonic bloom) to optimize the growth of plants and harvest. Sonic bloom is a technology that combines high-frequency sound waves from living things, nature or music, and organic nutrients, which aims to make plants grow more optimally so that they can increase productivity. The method’s main advantage is implementing an innovative IoT monitoring hybrid with audio growth systems to boost the plantation growth and maximize the yield. Our experiment in 10 planters using chilies, has proven the proposed procedure. This work is backed up with literature studies of the audio growth (sonic bloom) in IoT technologies. To validate our findings, four parameters were measured through different sensors such as light sensors, temperature, humidity, and soil moisture. It was found that the proposed method can achieve significant results against the comparison in terms of plant heights and new sprouts for the harvest.