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INDONESIA
Jurnal Sustainable: Jurnal Hasil Penelitian dan Industri Terapan
Published by Universitas Maritim Raja Ali Haji
ISSN : 20875347     EISSN : 26156334     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal Sustainable diterbitkan dua nomor per tahun oleh Fakultas Teknik, Universitas Maritim Raja Ali Haji, Tanjungpinang, Kepulauan Riau, Indonesia. Jurnal Sustainable diterbitkan pada Bulan Mei (Nomor 1) dan Bulan Oktober (Nomor 2). Artikel yang ditulis untuk Jurnal Sustainable adalah Jurnal Hasil Penelitian dan Industri Terapan pada lingkungan teknologi, khususnya bidang Teknik Elektro & Teknik Informatika dan Teknologi Kelautan.
Arjuna Subject : -
Articles 62 Documents
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Klasifikasi Tingkat Kesegaran Cumi-Cumi (Loligo vulgaris) Menggunakan Metode Support Vector Machine Berbasis Citra Digital Aprizal, Danyi; Simatupang, Seli Octaria; Hayaty, Nurul
Sustainable Vol 13 No 2 (2024): Jurnal Sustainable : Jurnal Hasil Penelitian dan Industri Terapan
Publisher : Fakultas Teknik Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/frctg379

Abstract

 Determining the freshness level of squid (Loligo vulgaris) is crucial to ensure the quality and safety of seafood products. This study develops an automatic classification system based on digital image processing using the Support Vector Machine (SVM) algorithm. The freshness categories are divided into three classes: Fresh, Not Fresh, and Spoiled. The images used were preprocessed through cropping, resizing to a uniform size, augmentation, and color space conversion. Feature extraction involved color features (RGB and HSI) and texture features (using the Gray Level Co-occurrence Matrix or GLCM). The SVM model was trained using the RBF kernel and evaluated on a separate test dataset to measure its classification performance. The results showed that combining color and texture features significantly improved the accuracy, reaching 87.65% on the test data. As a practical implementation, the system was developed into a graphical user interface (GUI) using MATLAB, enabling users to predict squid freshness directly. This study demonstrates that the proposed method has promising potential as an early solution for digital and efficient quality control in the seafood industry. 
Analisis SEM-PLS Perilaku Pasien HIV/AIDS terhadap Gambaran Klinis Pasien Hiariey, Arlene Henny; Upuy, Doms; Latupeirissa, Sanlly Joanne
Sustainable Vol 11 No 2 (2022): Jurnal Sustainable : Jurnal Hasil Penelitian dan Industri Terapan
Publisher : Fakultas Teknik Universitas Maritim Raja Ali Haji

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31629/sustainable.v11i2.4937

Abstract

Structural Equation Modeling (SEM) is a method of multivariate statistical analysis that can describes the structure of a relatively complex relationships by engaging many of the variables. SEM-based on component or a variant called Partial Least Square (PLS), is a method that is more flexible and powerful in testing with free distribution assumptions, the scale of the indicator variety, and the number of samples must not be large. Specific problems in the case of HIV/AIDS can be seen through clinical overview sufferers HIV/AIDS, based on opportunistic infections CD4 levels, and quality of life. This research aims to get Structural Equation Model (SEM-PLS) clinical picture of HIV/AIDS patients. Secondary data were gathered and derived from the medical records of 150 patients with HIV/AIDS at the health centers of the Pasuruan Regency in 2017. The results of the analysis showed that the predisposing factors, enabling factors and strengthening factors influenced the clinical picture of HIV/AIDS patients. R2 produced by 0,8 so it can be conclude that model can explain data.

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