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All Journal Kalbiscientia Jurnal Sains dan Teknologi
Tjiong, Edwin
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Industrial & Manufacturing Engineering Mechanical Engineering

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Perancangan Aplikasi Seluler Dokumentasi dan Informasi Hukum BPH Migas Berbasis Android Yehezkiel Dicky Pandu Ferdinand1; Tjiong, Edwin
KALBISCIENTIA Jurnal Sains dan Teknologi Vol. 11 No. 01 (2024): Sains dan Teknologi
Publisher : Research and Community Service INSTITUT TEKNOLOGI DAN BISNIS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/kalbiscientia.v11i01.3282

Abstract

This work presents the development of mobile application in Android OS to display legal documentation which are published by BPH Migas. The purpose of this work is to streamline the access to legal documents produced by BPH Migas by mobile device users. The development work was designed using agile framework and the application was implemented using Kotlin programming language. The result is a mobile application that can view, download, and share legal documents owned by BPH Migas
Pengembangan Aplikasi Pengenalan Tulisan Tangan Abjad dan Angka Berbasis Convolutional Neural Network Edelbert Strago Giamiko; Tjiong, Edwin
KALBISCIENTIA Jurnal Sains dan Teknologi Vol. 11 No. 02 (2024): Jurnal Sains dan Teknologi
Publisher : Research and Community Service INSTITUT TEKNOLOGI DAN BISNIS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/kalbiscientia.v11i02.3626

Abstract

This research aims to make an application that recognizes and predicts handwritings of alphabets and numbers using Convolutional Neural Network (CNN). This application uses an incremental model with 2 steps for its development. The data used is EMNIST dataset, images of handwritten letters consists of Roman capital letters, Roman small letters, and Arabic numerals (0-9) that are split into 47 different classes. The model and application successfully predicted handwritings of alphabets and numbers with an average precision percentage of 76,24%.
Perancangan Aplikasi Seluler Dokumentasi dan Informasi Hukum BPH Migas Berbasis Android Yehezkiel Dicky Pandu Ferdinand1; Tjiong, Edwin
KALBISCIENTIA Jurnal Sains dan Teknologi Vol. 11 No. 01 (2024): Sains dan Teknologi
Publisher : Research and Community Service UNIVERSITAS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/kalbiscientia.v11i01.3282

Abstract

This work presents the development of mobile application in Android OS to display legal documentation which are published by BPH Migas. The purpose of this work is to streamline the access to legal documents produced by BPH Migas by mobile device users. The development work was designed using agile framework and the application was implemented using Kotlin programming language. The result is a mobile application that can view, download, and share legal documents owned by BPH Migas
Pengembangan Aplikasi Pengenalan Tulisan Tangan Abjad dan Angka Berbasis Convolutional Neural Network Edelbert Strago Giamiko; Tjiong, Edwin
KALBISCIENTIA Jurnal Sains dan Teknologi Vol. 11 No. 02 (2024): Jurnal Sains dan Teknologi
Publisher : Research and Community Service UNIVERSITAS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/kalbiscientia.v11i02.3626

Abstract

This research aims to make an application that recognizes and predicts handwritings of alphabets and numbers using Convolutional Neural Network (CNN). This application uses an incremental model with 2 steps for its development. The data used is EMNIST dataset, images of handwritten letters consists of Roman capital letters, Roman small letters, and Arabic numerals (0-9) that are split into 47 different classes. The model and application successfully predicted handwritings of alphabets and numbers with an average precision percentage of 76,24%.
Co-Authors Edelbert Strago Giamiko Yehezkiel Dicky Pandu Ferdinand1