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All Journal JoDENS: Journal of Digital Ecosystem for Natural Sustainability
Limuel, Patrick
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Computer Science & IT Decision Sciences, Operations Research & Management

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Implementasi Support Vector Machine dan Radial Basis Function untuk Klasifikasi Makanan Vegetarian Menggunakan Data Image Williams; Gunawan, Fery; Limuel, Patrick; Purnajaya, Akhmad Rezki
Journal of Digital Ecosystem for Natural Sustainability Vol 3 No 1 (2023): Juli 2023
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v3i1.123

Abstract

The vegetarian diet has become increasingly popular in the 21st century due to its potential to reduce the risk of chronic and degenerative diseases. Vegetarians are individuals who do not consume animal products, either for religious or health reasons. However, it can be difficult to determine whether a particular food is vegetarian or non-vegetarian based on visual inspection alone. Therefore, this study successfully developed an SVM & RBF model in RStudio that can accurately differentiate between vegetarian and non-vegetarian foods based on image data. The model achieved an accuracy rate of 95%, specificity of 100%, sensitivity of 88.89%, and an AUC value of 94.44%. It can be concluded that the SVM & RBF model is capable of predicting data with high accuracy and effectively distinguishing between vegetarian and non-vegetarian classes.
Metode Analytic Hierarchy Process (AHP) dalam Pemilihan Penerima Beasiswa (Studi Kasus: Prodi Teknik Perangkat Lunak Universitas Universal) Gunawan, Fery; Limuel, Patrick; Tayanto, Vincent; Purnajaya, Akhmad Rezki
Journal of Digital Ecosystem for Natural Sustainability Vol 3 No 2 (2023): Desember 2023
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v3i2.191

Abstract

Specific attention in this study is given to Universitas Universal's scholarship programs, which rely on entrance exam results for selection, prompting the exploration of more efficient and objective decision-making processes. The study draws inspiration from existing research, particularly those utilizing the Analytic Hierarchy Process (AHP), but distinguishes itself by evolving criteria to include exam scores, computer literacy, motivation, and program understanding. The primary focus is on addressing selection challenges in the software engineering program for post-admission students at Universitas Universal. By employing AHP, the study aims to provide a comprehensive decision support system, offering a prospective solution for future scholarship selection challenges. From the results of the AHP program that has been researched, it has been found that the scholarship recipient candidate is the first candidate with a score of 0.518.
Co-Authors Gunawan, Fery Purnajaya, Akhmad Rezki Tayanto, Vincent Williams