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All Journal Brilliance: Research of Artificial Intelligence
Halid Nuryadi
Universitas Teknologi Sumbawa
Decision Sciences, Operations Research & Management Mathematics Other

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Design and Implementation of the SALUTS System to Support of Improvement of Tourism Transactions and Promotion Juniardi Akhir Putra; Halid Nuryadi; Yuliadi Yuliadi; Erwin Mardinata; Chairul Hudaya; Shinta Esabella; Ardiansyah Putra; Ahmad Juliansyah
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3434

Abstract

This research aims to design and build a tourism system in Sumbawa Regency. In this research is using a qualitative approach that used model of rapid application development (RAD) for system development life circle (SDLC) method. Overall the first stage is system planning, next stage is analyzing tourism data and information that would be presented on web and android technology based. In addition, for users interface display is the attractive database design. The final stage is coding the system and produce a prototype for the implementation which is presenting on the web pages and google play store for android smartphones. The system presented could be used for evaluation, monitoring and facilitating of tourism transaction and promotion processes in Sumbawa Regency.
Application of the Support Vector Machine (SVM) Algorithm for the Diagnosis of Diabetic Retinopathy Yuliadi; Fadhli Dzil Ikram; M. Julkarnain; Fahri Hamdan; Halid Nuryadi
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3436

Abstract

Diabetic Retinopathy (DR) is a disease whose main cause is complications of diabetes mellitus. High levels of sugar in the blood (glucose) are caused by the pancreas' inability to produce insulin. Prevention of diabetic retinopathy and blindness by carrying out examinations at an early stage and doing them regularly. Currently, doctors still carry out examinations manually so they are prone to errors in examinations. This research aims to build an application to diagnose Diabetic Retinopathy in order to facilitate the work of the medical team and doctors at the eye clinic. In the application creation process, MATLAB is used, while feature extraction uses GLCM and for classification, SVM is used. The results of the research are that doctors and medical teams are helped in carrying out manual patient diagnoses and reduce the occurrence of human error.
Co-Authors Ahmad Juliansyah Ardiansyah Putra Chairul Hudaya Erwin Mardinata Fadhli Dzil Ikram Fahri Hamdan Juniardi Akhir Putra M. Julkarnain Shinta Esabella Yuliadi Yuliadi Yuliadi Yuliadi