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All Journal ComEngApp : Computer Engineering and Applications Journal Telcomatics
Vincen
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Brahmi Script Classification using VGG16 Architecture Convolutional Neural Network Vincen; Samsuryadi
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 2 (2022)
Publisher : Universitas Sriwijaya

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Abstract

Many Indonesians have difficulty reading and learning the Brahmi script. Solving these problems can be done by developing software. Previous research has classified the Brahmi script but has not had an output that matches the letter. Therefore, letter classification is carried out as part of the process of recognizing Brahmi script. This study uses the Convolutional Neural Network (CNN) method with the VGG16 architecture for classifying Brahmi script writing. Training results from various amounts of image data. Smooth model. The requested image data is a 224x224 binary image. This study has the highest quality, accuracy is 96%, highest recall is 98% and highest precision is 98%.
Perancangan Alat Pengolahan Sampah Organik Berbasis Internet of Things (IoT) untuk Produksi Gas Metana dan Pupuk Kompos Jastin; Vincen; Habib Bahy Hussein; Bonni Saputra; Sabariman Sabariman; Andik Yulianto
Telcomatics Vol. 11 No. 1 (2026)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v11i1.11046

Abstract

This paper presents the design of an Internet of Things (IoT)-based organic waste processing device to produce methane gas and compost. The system uses a large sealed plastic container fitted with a biogas nanometer gauge on the lid and an ESP32 microcontroller for data acquisition. A capacitive soil moisture sensor measures the moisture of decomposed organic material, while an MQ-4 gas sensor monitors methane concentration inside a separate 5-liter plastic storage tank. Organic waste is fermented naturally, and gas is transferred manually through establishing valves while the pressure reaches a described threshold. All sensor information are dispatched to the Blynk cellular software for real-time tracking and visualization. This low-price answer gives a realistic technique to changing family natural waste into renewable power and natural fertilizer.
Co-Authors Andik Yulianto Bonni Saputra Habib Bahy Hussein Jastin Sabariman Sabariman Samsuryadi