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All Journal Perfecting a Video Game with Game Metrics Jurnal Teknologi Informasi dan Ilmu Komputer EMITTER International Journal of Engineering Technology INOVTEK POLBENG
Son Kuswadi
Politeknik Elektronika Negeri Surabaya
Computer Science & IT Engineering

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Improved echocardiography segmentation using active shape model and optical flow Riyanto Sigit; Calvin Alfa Roji; Tri Harsono; Son Kuswadi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.11821

Abstract

Heart disease is one of the most dangerous diseases that threaten human life. The doctor uses echocardiography to analyze heart disease. The result of echocardiography test is a video that shows the movement of the heart rate. The result of echocardiography test indicates whether the patient’s heart is normal or not by identifying a heart cavity area. Commonly it is determined by a doctor based on his own accuracy and experience. Therefore, many methods to do heart segmentation is appearing. But, the methods are a bit slow and less precise. Thus, a system that can help the doctor to analyze it better is needed. This research will develop a system that can analyze the heart rate-motion and automatically measure heart cavity area better than the existing method. This paper proposes an improved system for cardiac segmentation using median high boost filter to increase image quality, followed by the use of an active shape model and optical flow. The segmentation of the heart rate-motion and auto measurement of the heart cavity area is expected to help the doctor to analyze the condition of the patient with better accuracy. Experimental result validated our approach.
Optimasi Sistem Navigasi Robot Bencana dengan Algoritma Bug dan Jaringan Syaraf Tiruan Son Kuswadi; Ardelia Natasya GO; Muhamad Nasyir Tamara; Indra Adji Sulistijono
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 5: Oktober 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (50.458 KB) | DOI: 10.25126/jtiik.2018551153

Abstract

Agar robot bencana bisa melaksanakan tugas tertentu pada medan yang tak beraturan dan tidak diketahui keadaannya secara dinamis, harus memiliki kemampuan pemetaan. Berdasarkan peta yang telah dibuat, maka robot bisa bergerak sesuai dengan peta tersebut. Makalah ini membahas implementasi pemetaan dan navigasi robot, dengan menggunakan algoritma buguntuk membuat lintasan yang dapat menghindari halangan. Lintasan tersebut kemudian dioptimalkan dengan menggunakan jaringan syaraf tiruan untuk memilih lintasan terpendek. Metode yang diusulkan ini kemudian diuji baik menggunakan perangkat lunak dan eksperimen di medan laboratorium. Abstract In order to perform certain task in a cluttered and unknown dynamic field, a disaster robot should have mapping capability. Based on the map, then robot will move accordingly. This paper describes the implementation of mapping and navigation of the robot by using bug algorithm to avoid the obstacle. The paths optimized by using artificial neural networks to select the shortest one. The proposed method then implemented both by simulation and experimental in lab scale field.
Real Performance Evaluation On MQTT and COAP Protocol in Ubiquitous Network Robot Platform (UNRPF) for Disaster Multi-robot Communication Muhammad Ikrar Yamin; Son Kuswadi; Sritrusta Sukaridhoto
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.632 KB) | DOI: 10.24003/emitter.v6i2.305

Abstract

Disaster multi-robot has a significant role in a disaster area to do many tasks like detection of fire, search and rescue of victims, etc. It needs to build good communication between the operator and multi-robot and among multi-robot themselves to perform their tasks quickly and efficiently. This relates with the queue message protocol system. In this research, we implemented the queue message protocol on mesh topology and integrated it on the robot platform. Recently, development of IoT (Internet of Things) Technology causes development of communication protocol. MQTT and CoAP are among the communication protocols used for IoT needs.  Both  protocols performance were compared when  used and implemented into disaster multi-robot. We also integrated MQTT protocol and robot  platform python based (UNR-PF). The result shows that MQTT protocol is easier to be  implemented on to disaster multi-robot platform (UNR-PF) on mesh topology than CoAP, and that data transfer rate of MQTT protocol has data transfer rate higher than CoAP.
PENCARIAN JALUR TERPENDEK DALAM PROSES AUTODOCKING PADA MOBILE ROBOT MENGGUNAKAN ARTIFICIAL BEE COLONY Safriudin Rifandi; Indra Adji Sulistijono; Son Kuswadi
INOVTEK POLBENG Vol 9, No 2 (2019): INOVTEK VOL.9 NO 2 - 2019
Publisher : POLITEKNIK NEGERI BENGKALIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (205.146 KB) | DOI: 10.35314/ip.v9i2.1009

Abstract

Proses autodocking pada mobile robot merupakan sebuah kemampuan tambahan yang dapat dimiliki oleh sebuah robot. Untuk dapat melakukan proses tersebut, robot terlebih dahulu harus dapat mencari tempat docking station terdekat. Selain itu, robot membutuhkan pemandu agar dapat menuju ke docking station terdekat dengan tepat dan aman. Untuk mendapatkan jalur terdekat, dibutuhkan posisi terakhir robot saat mendeteksi baterai dalam keadaan akan habis. Posisi robot tersebut sebagai masukan bagi artificial bee colony untuk menghasilkan jalur terdekat yang dapat memandu robot menuju docking station terdekat. Artificial bee colony digunakan sebagai optimasi pencarian tempat docking station yang jarak tempuhnya terdekat atau terpendek dari posisi robot serta aman dari halangan atau obstacle. Dari hasil percobaan, metode artificial bee colony mampu untuk mendapatkan jalur terpendek menuju lokasi docking station serta jalur yang didapatkan juga aman dari halangan. Jumlah populasi lebah yang digunakan sangat mempengaruhi jarak terdekat yang didapatkan oleh metode artificial bee colony. Semakin banyak populasi yang digunakan, maka semakin dekat jarak yang didapatkan oleh metode artificial bee colony. Jumlah iterasi juga mempengaruhi jarak terdekat yang didapatkan oleh artificial bee colony. Semakin banyak jumlah iterasi yang digunakan, maka semakin dekat jarak yang didapatkan meskipun jumlah populasi yang digunakan sama.
Co-Authors Ardelia Natasya GO Calvin Alfa Roji Indra Adji Sulistijono Muhamad Nasyir Tamara Riyanto Sigit Safriudin Rifandi Stritusta Sukaridhoto Tri Harsono Yamin, Muhammad Ikrar