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All Journal Perfecting a Video Game with Game Metrics Jurnal Biosains Pascasarjana INTEGER: Journal of Information Technology Darmabakti Cendekia: Journal of Community Service and Engagements Indonesian Applied Physics Letters
Winarno, Winarno
Departemen Fisika Fakultas Sains Dan Teknologi Universitas Airlangga
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Immunology & microbiology Materials Science & Nanotechnology Physics Public Health Social Sciences

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Object detection for KRSBI robot soccer using PeleeNet on omnidirectional camera Winarno Winarno; Ali Suryaperdana Agoes; Eva Inaiyah Agustin; Deny Arifianto
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.v18i4.15009

Abstract

Kontes Robot Sepak Bola Indonesia (KRSBI) is an annual event for contestants to compete their design and robot engineering in the field of robot soccer. Each contestant tries to win the match by scoring a goal toward the opponent's goal. In order to score a goal, the robot needs to find the ball, locate the goal, then kick the ball toward goal. We employed an omnidirectional vision camera as a visual sensor for a robot to perceive the object’s information. We calibrated streaming images from the camera to remove the mirror distortion. Furthermore, we deployed PeleeNet as our deep learning model for object detection. We fine-tuned PeleeNet on our dataset generated from our image collection. Our experiment result showed PeleeNet had the potential for deep learning mobile platform in KRSBI as the object detection architecture. It had a perfect combination of memory efficiency, speed and accuracy.
Application of EMG and Force Signals of Elbow Joint on Robot-assisted Arm Training Riky Tri Yunardi; Eva Inaiyah Agustin; Risalatul Latifah; Winarno Winarno
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.11707

Abstract

Flexion-extension based on the system's robotic arm has the potential to increase the patient's elbow joint movement. The force sensor and electromyography signals can support the biomechanical system to detect electrical signals generated by the muscles of the biological. The purpose of this study is to implement the design of force sensor and EMG signals application on the elbow flexion motion of the upper arm. In this experiments, the movements of flexion at an angle of 45º, 90º and 135º is applied to identify the relationship between the amplitude of the EMG and force signals on every angle. The contribution of this research is for supporting the development of the Robot-Assisted Arm Training. The correlation between the force signal and the EMG signal from the subject studied in the elbow joint motion tests. The application of sensors tested by an experimental on healthy subjects to simulating arm movement. The experimental results show the relationship between the amplitude of the EMG and force signals on flexion angle of the joint mechanism for monitoring the angular displacement of the robotic arm. Further developments in the design of force sensor and EMG signals are potentially for open the way for the next researches based on the physiological condition of each patient.
Radioterapi Kanker Cervix Dengan Linear Accelerator (LINAC) Winarno Winarno
Jurnal Biosains Pascasarjana Vol. 23 No. 2 (2021): JURNAL BIOSAINS PASCASARJANA
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbp.v23i2.2021.75-86

Abstract

Kanker serviks merupakan salah satu kanker mematikan yang sering terjadi di Indonesia. Pada tahun 2019, Kementerian Kesehatan mencatat kanker serviks menempati peringkat kedua untuk jenis kanker yang paling banyak ditemui setelah kanker payudara. Setiap tahunnya, ada sekitar 40.000 kasus baru kanker serviks yang terdeteksi pada perempuan Indonesia. Upaya dalam menyembuhkannya melalui radioterapi dengan radiasi pengion yang untuk mematikan sel kanker. Sumber yang digunakan adalah sinar X atau foton. Salah satu jenis pesawat radioterapi eksternal adalah Akselerator Linear (Linac). Dalam melakukan kalibrasi alat – alat radioterapi khususnya LINAC dan dalam melakukan treatment planning system (TPS) pada kanker memerlukan seorang fisikawan medis. Observasi dilakukan dengan tahapan orientasi, observasi langsung, hingga konsultasi dan diskusi. Peran fisikawan medis meliputi perencanaan TPS, simulasi pada kanker pasien, pembuatan blok untuk melindungi organ sehat, perhitungan dosis serta melakukan penyinaran. Pentingnya peran seorang fisikawan medis dalam proses radioterapi untuk mengobati kanker serviks.
Line Follower Robot Training and Introduction of Internet of Things (IoT) for Students in Jombang City Eva Inaiyah Agustin; Riky Tri Yunardi; Winarno Winarno
Darmabakti Cendekia: Journal of Community Service and Engagements Vol. 1 No. 2 (2019): December 2019
Publisher : Faculty of Vocational Studies, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (879.09 KB) | DOI: 10.20473/dc.V1.I2.2019.50-55

Abstract

Background: During the Industrial Revolution 4.0, the Internet of Things (IoT) is the main pillar of people and machines connected to each other. It can be an intelligent system when combined with a robot. This is what underlies the importance of robotics and IoT training, especially to be introduced early on. Purpose: This activity aimed to improve students' knowledge and skills in technology. The target of this activity is high school students in Jombang City. Methods: It starts from the planning, implementation, and evaluation stages. Auditory, visual and kinesthetic techniques are used in this activity, which is in the form of interesting learning media such as power points, videos, as well as demonstrations and practices. Data collection techniques such as questionnaires, pre-test, and post-test, and running tests were carried out to measure the level of skills, knowledge, and satisfaction of participants. Results: A total of 85% of participants did not know about IOT and 83% of the participants already know what the robot. But only 17% ever make robots. Conclusion:  After this activity the participants' understanding increased by 20%. Their skills also increased as evidenced by the participants programming themselves so that the robot can run well on the track.
The Home Security Monitoring System with Passive Infrared Receiver, Temperature Sensor and Flame Detector Based on Android System Novian Patria Uman Putra; Aji Akbar Firdaus; Winarno Winarno; Alim Prasaja; Kadek Juni Setiawati
INTEGER: Journal of Information Technology Vol 6, No 1: Mei 2021
Publisher : Fakultas Teknologi Informasi Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.integer.2021.v6i1.1836

Abstract

A home state monitoring is important for homeowners. Because in Indonesia, theft and fire are common occurrences. This is caused by the negligence of homeowners. Therefore, home security monitoring systems are made to minimize theft and house fires. In this study, home security monitoring systems were made using human motion detection sensors or PIR (Passive Infrared Receiver) sensors, temperature sensors, flame detectors, buzzers, and pumps. The PIR sensor is used to detect thieves so buzzer can sound. The Temperature sensor and flame detector are used to detect fires then the pump will extinguish the fire. The system is then integrated with android HP devices, so homeowners can monitor the home wherever and whenever. From the test results, PIR sensor can detect human movement with a distance of 3.4 meters and the angle is 90o. The Temperature sensors and flame detectors detect temperatures and hotspots with a maximum distance of 25 cm, respectively
Design Of Autofocus Microscope With Histogram Method For Tuberculosis Bacteria Observation Mohammad Kholil; Riries Rulaningtyas; Winarno Winarno
Indonesian Applied Physics Letters Vol. 1 No. 1 (2020): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v1i1.21331

Abstract

This research was conducted to design an autofocus microscope with a histogram method that can observe Tuberculosis (TB) bacteria. The bacteria observed were preparations or phlegm preparations which had been stained with Ziehl Neelsen. The microscope is designed to be equipped with a program to control the focus motor that moves the microscope tube and the program to digitally display the image and histogram of TB bacteria. Histograms are analyzed based on intensity values spread between 0-255 and the entropy value is sought. The measurement results that have been carried out as many as 20 times the field of view of the TB bacteria show that the most focused areas have the highest entropy value with an accuracy level ranging from 81.90476% to 100% at 1000 times the magnification.
Tubule Formation Segmentation Of Histopathological Image Of Breast Cancer By Using Clustering Method Hadiyyatan Waasilah; Riries Rulaningtyas; Winarno Winarno; Anny Setijo Rahaju
Indonesian Applied Physics Letters Vol. 1 No. 1 (2020): June
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/iapl.v1i1.21338

Abstract

Histopathological assessment is one of the examinations that allows the classification of breast cancer based on its level. Histopathological assessment factors are based on tubule formation, nuclear pleomorphism, and the mitotic count. This study only focused on tubule formation. The tubule formation was represented by a lumen surrounded a  nucleus. The segmentation of tubule histopathology of breast cancer method was using a combination of k-means clustering and graph cut. The image data used in this study were 15 images of breast cancer histopathology preparations using 5 variations in the number of clusters (k) in the k-means clustering method. The best results of tubule formation segmentation using k = 4, with an average value of balanced accuracy was 81.08% and the most optimal balanced accuracy results was 94.34%.
Co-Authors Agustin, Eva Inaiyah Aji Akbar Firdaus Ali Suryaperdana Agoes Alim Prasaja Anny Setijo Rahaju, Anny Setijo Arifianto, Deny Hadiyyatan Waasilah Kadek Juni Setiawati Mohammad Kholil Novian Patria Uman Putra Riries Rulaningtyas Risalatul Latifah Yunardi, Riky Tri