The main goal of this study was to create an android game that introduces and maintains Balinese Folklore I Sangging Lobangkara. Balinese Folklore I Sangging Lobangkara has a lot of moral value that began to be forgotten. This folklore was about a very famous painter, I Sangging Lobangkara. Hearing the news of I Sangging Lobangkara’s skill in drawing, The King invited him to The Palace to test his skill. Those challenges from The King were packed as the challenge of the game. The game of Balinese folklore I Sangging Lobangkara was developed using Android Studio with library libGdx. The testing of the application was done by white box testing, black box testing, content expert testing, media expert testing, and user usability testing. Balinese folklore “I Sangging Lobangkara” game in Android successfully applied in all of the android’s features which is tested and there was not any error found.

Objective To derive a comprehensive implementation framework for clinical AI models within hospitals informed by existing AI frameworks and integrated with reporting standards for clinical AI research. Materials and Methods (1) Derive a provisional implementation framework based on the taxonomy of Stead et al and integrated with current reporting standards for AI research: TRIPOD, DECIDE-AI, CONSORT-AI. (2) Undertake a scoping review of published clinical AI implementation frameworks and identify key themes and stages. (3) Perform a gap analysis and refine the framework by incorporating missing items. Results The provisional AI implementation framework, called SALIENT, was mapped to 5 stages common to both the taxonomy and the reporting standards. A scoping review retrieved 20 studies and 247 themes, stages, and subelements were identified. A gap analysis identified 5 new cross-stage themes and 16 new tasks. The final framework comprised 5 stages, 7 elements, and 4 components, including the AI system, data pipeline, human-computer interface, and clinical workflow. Discussion This pragmatic framework resolves gaps in existing stage- and theme-based clinical AI implementation guidance by comprehensively addressing the what (components), when (stages), and how (tasks) of AI implementation, as well as the who (organization) and why (policy domains). By integrating research reporting standards into SALIENT, the framework is grounded in rigorous evaluation methodologies. The framework requires validation as being applicable to real-world studies of deployed AI models. Conclusions A novel end-to-end framework has been developed for implementing AI within hospital clinical practice that builds on previous AI implementation frameworks and research reporting standards.

This study aims to develop an automatic transliteration application for the Balinese palm leaf manuscripts into the Latin/Roman alphabet. The input for this system is the digital image of the original text from the ancient Balinese palm leaf manuscripts, not from the Balinese script, which is printed using a font on a computer. In this study, a segmentation-free transliteration machine using the LSTM model was implemented. In addition, the implementation of the AKSALont application is carried out for the interactions on a web-based platform using cross-platform interoperability. The experimental results show that the machine can transliterate Balinese characters on the Balinese palm-leaf manuscript images properly with a CER of 19.78 % using 10.475 test data. With a web-based online platform, AKSALont has been able to open wider access for the public to the web-based content with an online platform collection.

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AKSALont is an application that can automatically transliterate the digital image of Lontar Bali into text data format in the Latin alphabet. Seeing the broader needs of the AKSALont application, it was deemed necessary to develop a mobile application version of Akasalont that remains integrated with the main web-based application. This paper presents the detail development process of mobile based application of AKSALont. Three main development phases are presented. Software design phase consists of software architecture design and software interface design. The software implementation modules for AKSALont mobile application consists of three sub-modules namely image cropping module, machine interconnection module, and mobile application interface module. Several black box testing scenarios were performed to test the software. Results show that the mobile-based interface of AKSALont is successfully integrated into interconnection with the main web server and machine of AKSALont.