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All Journal Journal JCONES Journal of Computer, Electronic, and Telecommunication (COMPLETE)
Shochibah Yatimatul Asmak, Shochibah Yatimatul
Institut Bisnis dan Informatika Stikom Surabaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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ANALISA PERBANDINGAN METODE FUZZY LOGIC CONTROL DAN METODE VIRTUAL FORCE FIELD (VFF) UNTUK DYNAMIC OBSTACLE AVOIDANCE Asmak, Shochibah Yatimatul; Widyantara, Helmy; Puspasari, Ira
Journal of Control and Network Systems Vol 4, No 1 (2015)
Publisher : Journal of Control and Network Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Technology today has reached its advancements even in military field. Technology in this field is often utilised to make tasks easier, to overcome human errors, as well as to do high-risk tasks that seem to be impossible to be done by human beings. High tech equipments are highly required to support offense and defense of the nation as well as to diminish human losses. One of the most prominent equipments in military field is combat vehicle. Thus, combat vehicles that can adapt quickly to any unknown environments are necessary and should there be obstacles, they could evade and find alternative routes to reach a designed target.Before such technology is created, a simulation using a robot is administered. In this simulation, the robot’s movements are observed. The observation includes how the robot evades obstacles especially moving obstacles and reaches the target successfully. There has been a prior research using Fuzzy Logic Control to control the robot’s speed and determine the evading direction when it encounters obstacles. Nevertheless, that research was only tested to evade unmoving obstacles. In this research, there would be comparative analysis between Fussy Logic Control and Virtual Force Field (VFF) method to evade moving targets as well as the ability to reach the designed targets.  There are two parameters used and analyzed in this research. They are the distance between the robot and the target and time required for the robot to reach the target. Those two parameters would be calculated using Fuzzy Logic Control and Virtual Force Field (VFF) method and the result would be compared to see which one is more effective to be used in this simulation.Keywords : Simulation Robot, Fuzzy Logic, Virtual Force Field, VFF, Dynamic Obstacle Avoidance
A Mobile App for Counting Shrimp Larvae Based on the YOLO V5 Method Asmak, Shochibah Yatimatul; Rizaldi, Denny Daffa; Saputra, Rendy Adi Fatma; Abseno, Anan Pepe; Hananto, Valentinus Robi; Oktarina, Eka Sari
Journal of Computer, Electronic, and Telecommunication (COMPLETE) Vol. 5 No. 2 (2024): December
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52435/complete.v5i2.647

Abstract

Manual counting of shrimp larvae in aquaculture is labour-intensive and time-consuming. This study aims to develop a mobile application to automate the counting process using an object detection algorithm. The application features dual functionality for real-time camera capture and image upload. Model performance was evaluated using several metrics, including Mean Average Precision, precision, and recall. The object detection model achieved a Mean Average Precision (mAP) of 93.93%, precision of 91%, and recall of 89.3%. Trials of the application demonstrated an average accuracy rate of 91.03% in detecting shrimp larvae. Despite challenges in detecting transparent larvae and distinguishing them from debris, the results indicate that the application holds promise for enhancing efficiency in shrimp farming operations. Future improvements may be directed towards enhancing application performance by refining the dataset and tuning model parameters to increase recall without compromising precision. This study represents a significant step towards integrating AI-driven technologies into aquaculture, potentially transforming the shrimp larvae counting and management process in the industry.
Co-Authors Abseno, Anan Pepe Eka Sari Oktarina Hananto, Valentinus Robi Helmy Widyantara Ira Puspasari Rizaldi, Denny Daffa Saputra, Rendy Adi Fatma