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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Buana Informatika Bulletin of Electrical Engineering and Informatics Media Aplikom Kalbiscientia Jurnal Sains dan Teknologi ABDIMAS Jurnal Pengabdian Kepada Masyarakat ABDINE Jurnal Pengabdian Masyarakat KALBISIANA Jurnal Sains, Bisnis dan Teknologi
Yulius Denny Prabowo
Institut Teknologi dan Bisnis Kalbis
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering Public Health Social Sciences Other

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Deteksi Ujaran Kebencian pada Komentar Instagram dalam Bahasa Indonesia Menggunakan Metode Recurrent Neural Network Hengky; Yulius Denny Prabowo
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

Hate speech is any form of communication that are provoking and bringing down a group or individual. The objective of this study is to create a model that can detect hate speech on Instagram comments in Indonesian language. The method used in this study is Recurrent Neural Network. This study produces a model that can detect hate speech with an accuracy
Pembangunan Aplikasi Pengenalan Rempah-Rempah Indonesia Menggunakan Augmented Reality Berbasis Android Sigit Gunawan; Yulius Denny Prabowo
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 1 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

The objective of this research is to develop an augmented reality-based Android application for the promotion of Indonesian spices. This application was created using the Multimedia Development Life Cycle (MDLC), which consists of the following stages: Concept, Design, Material Collection, Manufacture, Testing, and Distribution. Developing an application utilizing Unity and Vuforia software. Then, in the design phase of creating application applications, Blender and Adobe Photoshop are utilized. The application utilizes the Black box test and User Experience during the testing phase. This research led to the development of an application called REMPAHAR that provides users with information on Indonesian spices and 3D spice object forms.
Pencarian Informasi Berbasis Teks Dalam Komik Digital Menggunakan OCR Anil Kumar Siliwangi; Yulius Denny Prabowo
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 2 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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This research is aimed to research and develop a web-based application which will enable user to find texts in a digital comic pages using OCR. The methods that will be used to achieve this is a neural network learning approach using YOLOv3 algorithm that will enable a program to detect text in a comic page and a text recognition engine developed by google called Tesseraact that will enable the program to read texts in a comic page to a functional format such as string text. The software development cycle that is used is the incremental model and the user interface will be made using a python based web framework called Flask using Hyper Text Markup Language, Cascading Style Sheet and Javascript for searching functionality
Analisis Sentimen Opini Publik dalam Bahasa Indonesia Terhadap UU Cipta Kerja Menggunakan Naïve Bayes Alvin Andreas; Yulius Denny Prabowo
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 2 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

This study aims to apply the Naïve Bayes method in analyzing public review of the Job Work and measuring the accuracy of Naïve Bayes using twitter dataset. The dataset used in this study was taken from the data text on Twitter social media with 160 tweets. The dataset will be classified into positive sentiments and negative sentiments. The method used in the classification process is the Naïve Bayes method. The software development method used in this research is the Incremental method. The accuracy results obtained during the study were 85% with an average precision, recall, and f1-score of 85%.
Pengembangan Aplikasi Pendataan Ketersediaan Barang Studi Kasus YM Autowheel Berbasis Android Muhammad Matrix Indra Nawawi Daeng Parani; Yulius Denny Prabowo
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 2 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

The purpose of this research is to help Ym Autowheel in overcoming the existing problems in terms of recording the availability of goods. Publications regarding the status of availability of goods can be accessed in real time based on android. This application uses the Rational Unified Process (RUP) research methodology. This application has 2 users, namely admin and user, the admin must register first to add a brand or stock so that the stock can be displayed to the user. This application provides an alternative in managing stock items, storage is done using an internet connection and using hosting as a storage medium. The result of this research is the Android-based Ym Autowheel application.
Pengembangan Aplikasi Klasifikasi Gambar Menggunakan Library Tensorflow yang Menerapkan Algoritma Convolutional Neural Network Studi Kasus: Galeri Foto Kegiatan Ibadah Gereja Shoot Fellowship Willyam Saputra; Yulius Denny Prabowo
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 3 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

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Abstract

This research is aimed to research and develop a desktop application which will classify images of church activities using the Convolutional Neural Network method to group image data so as to facilitate image search. The dataset used in this research is image data of church activities of SHOOT Fellowship. The software development flow used is an incremental model and the user interface will be created using the Tkinter framework.
Pelatihan Komputer Dasar dan Aplikasi Ujian Online Bagi Siswa Siswa Yayasan Prima Unggul Sebagai Pembelajaran Literasi Digital Harya Bima Dirgantara; Yulius Denny Prabowo; Yulia Ery Kurniawati; Tedi Lesmana Marselino; Paramaresthi Windriyani
ABDIMAS Jurnal Pengabdian Kepada Masyarakat Vol. 2 No. 2 (2021): Pengabdian Kepada Masyarakat
Publisher : Research and Community Service INSTITUT TEKNOLOGI DAN BISNIS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53008/abdimas.v2i2.183

Abstract

Yayasan Prima Unggul adalah yayasan pendidikan yang ditujukan untuk anak-anak kurang mampu khususnya yang berasal dari panti asuhan di luar Jakarta. Pada umumnya anak-anak ini belum mengikuti perkembangan teknologi khususnya komputer. Siswa siswi tersebut juga harus menghadapi ujian nasional pada masa itu secara online sehingga perlu mengetahui aplikasi ujian online. Metode pelatihan dilakukan di laboratorium komputer secara sistematis dan kondusif. Hasil dari pelatihan ini adalah siswa siswi Yayasan Prima Unggul mendapatkan pembelajaran literasi digital pada umumnya dan pemahaman komputer dasar serta aplikasi ujian online.
Co-Authors Alvin Andreas Anil Kumar Siliwangi Bima Dirgantara Bima Dirgantara Ester Lumba Ferdinandus Fidel Putra Harya Bima Dirgantara Hengky Krisna Fernando Meylisa Suryawiguna Muhammad Matrix Indra Nawawi Daeng Parani Nathanael Rezaputra Paramaresthi Windriyani Rangga Eka Nanda Richard Sigit Gunawan Tedi Lesmana Marselino Willyam Saputra Yulia Ery Kurniawati