Claim Missing Document
Check
Articles

Found 40 Documents
Search

SEGMENTASI CITRA LAHAN BEKAS TAMBANG TERBUKA MENGGUNAKAN METODE DETEKSI TEPI CANNY Ambarwati, Ayu; Passarella, Rossi; Sutarno, Sutarno
Jurnal Sistem Komputer Vol 7, No 1 (2017)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v7i1.137

Abstract

Edge detection in the image of mining land become an important  because this process is the first step improve the appearance of the boundary line of an object image. Canny edge detection method is popular and has the advantages of detecting and localizing well, as well as a clear response. Selection of parameters greatly affect the outcome Canny edge. Parameters include standard deviation Gaussian (σ), the size of the Gaussian filter matrix and a threshold value. Canny method has 5 process consists a smoothing, finding gradient, non-maxima suppression, double thresholding and edge tracking by hysteresis. In this study determined the size of the matrix of 5x5, 7x7 and 9x9 while the value of σ of 1, 2.5 and 5.  Thresholds are adjusted using Otsu method. The program is created using programming language C#. The result showed that the greater size of the matrix and value of σ then produce blurred image. For the same matrix size, the greater the value of σ produce the smaller threshold and edge image obtained more detail.
Implementation of Image Segmentation Using RGB Color Detection on Virtual Reality Robot as Spy Tool Passarella, Rossi; ., Sutarno; Rezqy FF, Ahmad
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 1: EECSI 2014
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (922.144 KB) | DOI: 10.11591/eecsi.v1.400

Abstract

Humans cannot spy in small places that difficult topass. We need small size robot which remotely controlled so itcan be used for spying. The virtual reality technology in thisresearch was created using image segmentation with RGB colordetection and Pythagoras algorithm. A wireless camera is usedfor replacement of human eye to be able to look at thecircumstances around a robot. The camera can turn to the left orright in accordance with the user's head movement. The webcamis used as a sensor to detect the movement of a human head.Systems were created to be able to detect color and get the anglevalue and work well to move the camera in accordance with theuser's head movement. In this way, the user can act as thoughthey are on the robot and perform the surveillance
Perancangan Sistem Navigasi Robot Kapal Katamaran untuk Menghindari Rintangan Menggunakan Logika Fuzzy Passarella, Rossi; Exaudi, Kemahyanto; Fatimah, Sayyidatina
JURNAL NASIONAL TEKNIK ELEKTRO Vol 7, No 1: March 2018
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (779.814 KB) | DOI: 10.25077/jnte.v7n1.446.2018

Abstract

The robotic ship Katamaran is a robotic ship which has two extra hulls at both side. The existence of the hulls aims to keep the ship balance. The navigation of the robot or known as maneuver is set by the movement towards rudder which is installed at stern of ship. To do this Fuzzy Sugeno Logic is applied. The input of this fuzzy logic is obtained by camera which is placed at the prow. The input is an image video, the image then separated out three areas by using image processing which is being formed into left area, middle area, and right area. As the result of fuzzy calculation is the angle which is sent to the servo motors to move the rudder.  The maneuver of the robotic ship katamaran, has a good level.Keywords : Fuzzy Logic Sugeno, robotic ship Katamaran, Rudder, navigation systemAbstrakRobot kapal katamaran adalah sebuah kapal robot yang memiliki 2 buah lambung tambahan disisi kanan dan kiri yang berfungsi untuk menjaga kestabilan robot kapal. Pada penelitian ini dilakukan perancangan sistem navigasi pergerakan atau manuver robot kapal yang ditentukan oleh pergerakan rudder yang berada  di buritan kapal  dan dikendalikan secara otomatis mengadopsi teknik logika fuzzy Sugeno. Input logika fuzzy  ini didapat dari kamera yang terletak pada haluan robot kapal. Input ini dibagi menjadi 3 menggunakan proses pengolahan citra berupa daerah kiri, tengah dan kanan. Hasil dari  perhitungan fuzzy berupa nilai sudut yang dikirimkan ke motor servo untuk menggerakkan rudder. Pergerakan kapal katamaran menjadi baik.Kata Kunci : Fuzzy Logic Sugeno, , Robot Kapal Katamaran, Rudder, Sistem Navigasi
Lithium-ion Battery Charging System using Constant-Current Method with Fuzzy Logic Based ATmega16 Rossi Passarella; Ahmad Fali Oklilas; Tarida Mathilda
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 5, No 2: 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In this charging system, constant-current charging technique keeps the current flow into the battery on its maximum range of 2A. The use of fuzzy logic control of this charging system is to control the value of PWM. PWM is controlling the value of current flowing to the battery during the charging process. The current value into the battery depends on the value of battery voltage and also its temperature. The cutoff system will occur if the temperature of the battery reaches its maximum range.DOI: http://dx.doi.org/10.11591/ijpeds.v4i4.5924
Lightweight Solar Vehicle Impact Analysis Using ABAQUS/EXPLICIT Rossi Passarella; Zahari Taha
Computer Engineering and Applications Journal (ComEngApp) December 2012
Publisher : Computer Engineering and Applications Journal (ComEngApp)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.72 KB)

Abstract

This paper described the Abaqus/Explicit 6.7 simulation work performed to study the frontal crash impact condition for an in-house designed and produced lightweight solar vehicle main structural body. The structural body was fabricated from aluminum hollow pipes welded together. The analysis is needed to safeguard the safety of the vehicle driver. The dynamic response of the vehicle structure when subjected to frontal impact condition was simulated, according to NASA best practice for crash test methodology. The simulated speed used was based on the NHTSA standard. Comparison of the analysis with the standard Head Injury Criteria (HIC) and Chest Injury Criteria (CIC) revealed that the driver of the designed vehicle would not be risk because the acceleration resultant was found to be lower than 20 G.  The analysis also proved that structural component was able to protect the driver during any frontal collision incident. However, to ensure the safety of the driver, safety precautions such as the use of seatbelt and helmet as well as driving below the speed limit are recommended.
Lightweight Solar Vehicle Impact Analysis Using ABAQUS/EXPLICIT Rossi Passarella; Zahari Taha
Computer Engineering and Applications Journal Vol 1 No 2 (2012)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (474.665 KB) | DOI: 10.18495/comengapp.v1i2.10

Abstract

This paper described the Abaqus/Explicit 6.7 simulation work performed to study the frontal crash impact condition for an in-house designed and produced lightweight solar vehicle main structural body. The structural body was fabricated from aluminum hollow pipes welded together. The analysis is needed to safeguard the safety of the vehicle driver. The dynamic response of the vehicle structure when subjected to frontal impact condition was simulated, according to NASA best practice for crash test methodology. The simulated speed used was based on the NHTSA standard. Comparison of the analysis with the standard Head Injury Criteria (HIC) and Chest Injury Criteria (CIC) revealed that the driver of the designed vehicle would not be risk because the acceleration resultant was found to be lower than 20 G.  The analysis also proved that structural component was able to protect the driver during any frontal collision incident. However, to ensure the safety of the driver, safety precautions such as the use of seatbelt and helmet as well as driving below the speed limit are recommended.DOI: 10.18495/comengapp.12.085096
Design Concept of Convexity Defect Method on Hand Gestures as Password Door Lock Rossi Passarella; Muhammad Fadli; Sutarno Sutarno
Computer Engineering and Applications Journal Vol 2 No 3 (2013)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1183.912 KB) | DOI: 10.18495/comengapp.v2i3.32

Abstract

In this paper we purpose a several steps to implement security for locking door by using hand gestures as password. The methods considered as preprocessing image, skin detection and Convexity Defection. The main components of the system are Camera, Personal Computer (PC), Microcontroller and Motor (Lock). Bluetooth communication are applied to communicate between PC and microcontroller to open and lock door used commands character such as “O” and “C”. The results of this system show that the hand gestures can be measured, identified and quantified consistently.
Object Reconstruction from 2D Drawing sketch to 3D Object Rossi Passarella; Osvari Arsalan
Computer Engineering and Applications Journal Vol 5 No 3 (2016)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.997 KB) | DOI: 10.18495/comengapp.v5i3.183

Abstract

Design engineer in the early phase of building up another product is  typically using a freehand sketching to communicate or illustrate the idea in the form of orthographic projection. This orthographic projection is based on viewpoint. A translation from 2D drawing  view point to 3D models is needed to help engineer to imagine the product preview in 3D. This procedure includes a tedious, so that automation is needed. The way to deal with this reproduction issue begin straightforwardly from 2D freehand portraying, by using the camera, the 2D drawing is captured and then transferred to a Personal Computer. Inside the computer, the image is processed with  filtering to find the view point zones. The view point zone than separate to 3 zones, each zone consists of the pixel coordinate. This coordinates are used to generated and processing of 3D voxel Image according to the form of geometries. A case study is presented in order to emphasize and discuss the proposed method
Cloud-based ECG Interpretation of Atrial Fibrillation Condition with Deep Learning Technique Bambang Tutuko; Rossi Passarella; Firdaus Firdaus; Muhammad Naufal Rachmatullah; Annisa Darmawahyuni; Ade Iriani Sapitri; Siti Nurmaini
Computer Engineering and Applications Journal Vol 10 No 1 (2021)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (320.888 KB) | DOI: 10.18495/comengapp.v10i1.356

Abstract

The prevalent type of arrhythmia associated with an increased risk of stroke and mortality is atrial fibrillation (AF). It is a known priority to identify AF before the first complication occurs. No previous studies have explored the feasibility of conducting AF screening using a deep learning (DL) algorithm (integrated cloud-computing) telehealth surveillance system. Hence, we address this problem. The goal of this research was to determine the feasibility of AF screening using an embedded cloud-computing algorithm in nonmetropolitan areas using a telehealth surveillance system. By using a single-lead electrocardiogram (ECG) recorder, we performed a prospective AF screening study. Both ECG measurements were evaluated and interpreted by the cloud-computing algorithm and a cardiologist on the telehealth monitoring system. The proposed cloud-computing based on Convolutional Neural Network (CNN) algorithm for AF detection had an accuracy of 99% sensitivity of 98%, and specificity of 99%. The overall satisfaction performance for the process of AF screening, and it is feasible to conduct AF screening by using a telehealth monitoring system containing an embedded cloud-computing algorithm.
Molecular Docking on Azepine Derivatives as Potential Inhibitors for H1N1-A Computational Approach Neni Frimayanti; Fri Murdiya; rossi passarella
ICON-CSE Vol 1, No 1 (2014)
Publisher : ICON-CSE

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

Abstract

Azepine are an important class of organic compounds. They are effective in a wide range of biological activity such as antifeedants, antidepressants, CNS stimulants, calcium channel blocker, antimicrobial and antifungal properties. In our continue efforts to search for a potent inhibitor for H1N1 virus using molecular docking. In this study, 15 azepine (ligands) derivatives were docked to the neuraminidase of A/Breving Mission/1/1918 H1N1 strain in complex with zanamivir (protein). The Cdocker energy was then calculated for these complexes (protein-ligand). Based on the calculation, the lowest Cdocker interaction energy was selected and potential inhibitors can be identified. Compounds MA4, MA7, MA8, MA10, MA11 and MA12 with promising Cdocker energy was expected to be very effective against the neuraminidase H1N1.
Co-Authors ., Sutarno Abdul Wahid Sempurna Ade Iriani Sapitri Ade Murdiansyah Adiansyah Adiansyah Aditya Putra Perdana Prasetyo Ahmad Fadhil Ahmad Fali Oklilas Ahmad Heryanto Ahmad Rezqy FF Ahmad Rifai Ahmad Rifai Ahmad Rifai Ahmad Zarkasi Ambarwati, Ayu Annisa Darmawahyuni Arif Tumpal Leonardo Sianturi Atika Mailasari Ayu Ambarwati Bambang Tutuko Bangun Sudrajat Barzan Trio Putra Chandra Irsan Danny Matthew Saputra Dedy Kurniawan* Deris Stiawan Des Alwine Zayantii Eka Fasilah Emaria Melati Erwin, Erwin Fatimah, Sayyidatina Firdaus Firdaus Fri Murdiya Hanung Adi Nugroho Hendra Setiawan Holyness Nurdin Singadimedja Huda Ubaya Huda Ubaya Husnawati Husnawati Husnawati Husnawati Husnawati Husnawati Husnawati iman saladin b. azhar Irsyadi Yani Izzati Millah Hanifah Kemahyanto Exaudi Kemahyanto Exaudi Muflika Amini Muhammad Ali Buchari Muhammad Fadli Muhammad Fadli Muhammad Naufal Rachmatullah Nabillah Selva Setiawan Nadya Lucyana Neni Frimayanti Osvari Arsalan Purwita Sari Purwita Sari Rahmat Fadli Isnanto Ranti Eftika Rendyansyah Reza Firsandaya Malik Rezqy FF, Ahmad Rian Rahmanda Putra Rido Zulfahmi Rifkie Primartha Roswitha Yemima Tiur Mediswati Rouzan Fiqri Abdullah Samsuryadi - Sarmayanta Sembiring Sayyidatina Fatimah Siti Nurmaini Sri Desy Siswanti Sri Desy Siswanti Sutarno Sutarno - Sutarno . Sutarno Sutarno Sutarno Sutarno Sutarno Sutarno Sutarno, Sutarno Tarida Mathilda Tharisa Antya Perdani Titin Wahdania Tunnisa Wahyu Gunawan Winda Kurnia Yandi Prasetia Yandi Prasetia Yulia Resti Yusak Maryunianta Zahari Taha