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New Method For Classifying Heart In Multiview Echocardiographic Images Mohamad Walid Asyhari; Riyanto Sigit; Bima Sena Bayu Dewantara; Anwar
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3078

Abstract

Echocardiography is a test that uses high-frequency sound waves to describe the structure of the heart. Echocardiography is used by doctors to analyze the movement of the walls in the heart chambers and identify heart disease. Several images, including the long-axis, short-axis, 2-chamber and 4-chamber left ventricle, can be used to check heart function. Many studies that have been carried out, including cardiac evaluation, are still carried out conventionally and require a certain level of accuracy. In this research, several methods proposed to achieve object extraction are used to build a classification system, the steps start with image enhancement, segmentation, tracking, extraction, output characteristics, validation and classification. Imaging enhancement aims to improve the echocardiographic image, thereby clarifying the edges of the heart wall. In addition, the images are reprocessed to separate the left ventricle from the heart wall and generate ventricular contours, at the segmentation stage. The contours are obtained by looking for the good features on each heart wall. In this approach, good features are identified only on the first image of the left ventricular slice. The good feature points used are 24 point which will be grouped into 6 segments. In addition, all images will be processed using the optical flow method to track the movement of the walls of the heart. Optical flow tracing will generate direction and distance feature extraction values that can be used to describe the resulting data features and find a suitable classification algorithm that is combined using different validation techniques, namely K-fold and Leave-one-out. In its implementation, Classifier Support Vector Machine (SVM) with rbf core achieves the highest accuracy. The SVM classification algorithm with validation techniques, namely k-fold cross-validation and leave-one-out cross-validation, reaches an accuracy value of 100% and 100%.
Implementation of Deregistration and Export Back Aircraft Based on Cape Town Convention in Indonesia Rifaa Eka Novisna; Riyanto, Sigit
Warta Penelitian Perhubungan Vol. 36 No. 1 (2024): Warta Penelitian Perhubungan
Publisher : Sekretariat Badan Penelitian dan Pengembangan Perhubungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/warlit.v36i1.2364

Abstract

The Cape Town Convention is a regulation that creates international standards for security interests (liens), leases, and various legal remedies for default in financing agreements, including repossession. Nevertheless, several incidents resulted in losses to the lessor because the Cape Town Convention was not implemented properly in Indonesia. This research aimed to analyze Indonesians’ compliance with implementing the deregistration and re-export of aircraft based on the Cape Town Convention. Apart from that, this research also examined the obstacles faced by the Indonesians when implementing the Cape Town Convention, especially in implementing Deregistration and Export (IDERA) in Indonesia, and whether they have solutions to overcome these obstacles. This research used a Normative-Empirical research methodology that analyzes the implementation of written legal provisions and whether the provisions of the statutory regulations have been implemented properly. This research employed qualitative methods to analyze the data collected. The conclusion is first, the Indonesian Government is implementing the deregistration and export of aircraft adequately based on the results of analysis by comparing the regulations and interviews with practitioners; second, the Indonesian Government in the process of implementing the Deregistration and Export Back of aircraft faces several obstacles, including the lack of legal certainty regarding the implementation mechanism and limited authority; and third, the Indonesian Government has a solution to overcome obstacles, including revising related regulations and becoming a mediator if there are problems as a form of legal filling. Therefore, it can provide certainty and peace of mind for lessors when receiving collateral in the form of aircraft in Indonesia. The results of this research are expected to increase understanding regarding deregistration and export back of aircraft based on the Cape Town Convention in Indonesia so that many parties understand and comprehend this matter.
Redefining the Air Defence Identification Zone in the Framework of Customary International Law Hadisusilo, Priyo; Riyanto, Sigit; Purwanto, Harry
Yustisia Vol 11, No 1: April 2022
Publisher : Faculty of Law, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/yustisia.v11i1.57891

Abstract

The use of force against other countries is strictly prohibited and has the character of jus cogens. However, this provision is not rigidly applied in the self-defence context codified in the United Nations Charter 1945 Article 51, also in the air defence context through the existence of the Air Defence Identification Zone (ADIZ). This research discusses whether ADIZ embodies the anticipatory efforts in the framework of customary international law. The research results indicate that the determination of ADIZ is not a form of self-defence principle in Article 51, which is the realm of jus ad bellum. Moreover, the conservative self-defence prerequisites in Article 51 are no longer relevant in line with the revolutionary development of aviation and its armament technology. Therefore, ADIZ as a state security practice constitutes a form of anticipatory efforts within the framework of long-standing state practice as customary international law.Â