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Deteksi Dini Penyakit Tanaman Tomat Menggunakan Model Real-Time Detection Transformer (RT-DETR)
Raharjo, Teguh
; Putro, Herman Purwoko
; Sari, Herva Emilda
; Raharjo, Teguh
; Putro, Herman Purwoko
; Sari, Herva Emilda
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
Deteksi dini penyakit pada tanaman tomat merupakan aspek penting dalam pertanian modern untuk menjaga produktivitas dan meminimalkan kerugian akibat serangan penyakit. Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi sistem deteksi dini penyakit tanaman tomat menggunakan model Real-Time Detection Transformer (RT-DETR) berbasis deep learning. Dataset yang digunakan terdiri dari 1.000 citra daun tanaman tomat yang terinfeksi berbagai jenis penyakit, yang telah melalui proses pelabelan...
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Optimization of Searching for the Closest Route to Futsal Fields in Jayapura City Using the Greedy Algorithm
Tuhumena, Arthur
; Lahallo, Jim
; Hassan, Patmawati
; Tuhumena, Arthur
; Lahallo, Jim
; Hassan, Patmawati
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
The increasing popularity of futsal in Jayapura City has created a growing demand for efficient access to information regarding available sports facilities. However, the lack of an integrated digital platform leads to inefficiencies in locating and booking futsal fields, often forcing users to rely on manual communication or generic navigation services that lack real-time data. This study aims to develop an Android-based application that optimizes the search for the nearest futsal field using th...
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Implementasi Metode Vision Transformer (ViT) Dalam Klasifikasi Jenis Tanah
Hasbi, Abdilah
; Ardollynata, Ardollynata
; Tumanggor, Benerlekser
; Hasbi, Abdilah
; Ardollynata, Ardollynata
; Tumanggor, Benerlekser
JUISI : Jurnal Ilmiah Sistem Informasi
Vol 5
, No 1
(2026)
This study applies the Vision Transformer (ViT) method to soil-type classification and evaluates its accuracy using digital images. The Vision Transformer (ViT) is a Deep Learning architecture that uses self-attention to extract global features from images, enabling it to recognize texture and color patterns more comprehensively than other convolutional methods. The dataset used consists of eight soil types, each containing 77 image data in “.jpg” format. Each image was processed and augmented t...
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Multimodal Deep Learning for Pneumonia Detection Using Wearable Sensors: Toward an Edge-Cloud Framework
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
Pneumonia remains a leading cause of morbidity and mortality worldwide, particularly in resource-limited settings and among elderly populations, where timely diagnosis and continuous monitoring are often constrained by limited clinical infrastructure. This study presents an edge–cloud–integrated framework for early pneumonia risk monitoring, leveraging multimodal wearable sensors and deep learning to support continuous short-duration monitoring. The proposed system is designed to operate in near...
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The Future of Learning: Integrating Robotic Efficiency for Enhanced Educational Efficacy
Journal of Global Hospitality and Tourism Technology
Vol 1
, No 1
(2026)
The Covid-19 pandemic has posed learning barriers for communities in Indonesia and around the world. It has disrupted normal teaching and learning activities, necessitating the adoption of distance learning. Students face challenges during distance learning, including low motivation to succeed and complete online classes, as well as difficulty in handling encountered problems or difficulties. Robotics was chosen as a learning medium because it has been proven to stimulate self-efficacy. The deve...
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Development of E-Learning Technology in Designing and Making E-book-Based Learning Modules in Audio Video Engineering Subjects to Increase Student Learning Creativity
Journal of Global Hospitality and Tourism Technology
Vol 1
, No 1
(2026)
E-book learning media is very necessary at this time because it has the advantage of being more interactive and efficient, it can also create teaching and learning activities that are more effective compared to printed books. With problems with the learning system implemented at SMK Negeri Kartoharjo, they still use package books, making students feel bored. The purpose of this study (1) to find out how to design e-book-based learning modules in TAV subjects to increase student creativity, (2) t...
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Implementasi Penggunaan Teknik Keamanan Data Hashing Dan Limit Login Pada Login Sistem Pengelolaan Pencatatan Barang Dppesdm Berbasis Web
Syarhanazmi
; M. Miko Sahputra Sembiring
; Vima Zikra Adha Lubis
; Ilhamuddin Ilhamuddin
; Mhd. Furqan
Vol 5
, No 3
(2026)
Penelitian ini berfokus pada penguatan arsitektur keamanan modul autentikasi sistem SIGUDANG di DPPESDM Provinsi Sumatera Utara, yang sebelumnya memiliki kerentanan terhadap serangan brute force otomatis. Masalah utama yang diidentifikasi adalah risiko pengambilalihan akun secara ilegal akibat ketiadaan pembatasan laju permintaan (rate limiting) dan perlindungan kredensial yang kuat pada lapisan basis data. Tujuan penelitian ini adalah menciptakan sistem autentikasi yang tangguh melalui implemen...
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Pengaruh Jenis Katalis Heterogen Terhadap Nilai Kalor Dari Minyak Jelantah Melalui Proses Transesterifikasi
Vol 5
, No 3
(2026)
Thel delpleltion of fossil fuell relsourcels and increlasing elnvironmelntal issuels havel intelnsifield thel neleld for sustainablel relnelwablel elnelrgy altelrnativels. Biodielsell has elmelrgeld as a promising substitutel fuell duel to its relnelwablel naturel, elnvironmelntal compatibility, and its production from velgeltablel oils and wastel cooking oil. This study invelstigatels thel influelncel of biomass-baseld heltelrogelnelous catalysts on thel calorific valuel of biodielsell delrivel...
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Analisis Kinerja Metode Long Short-Term Memory (LSTM) dalam Klasifikasi Sentimen Ulasan Pengguna Shopee
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
User reviews on the Shopee e-commerce platform represent an important source of information for understanding consumer perceptions of products and services. Sentiment analysis is commonly applied to classify user opinions into positive, neutral, and negative sentiment categories based on textual data. This study aims to analyze the performance of the Long Short-Term Memory (LSTM) method in sentiment classification of Shopee user reviews. The dataset used in this study consists of Indonesian-lang...
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Implementasi Pemasaran Digital dan Online Branding sebagai Strategi Pengembangan UMKM
Wawasan : Jurnal Ilmu Manajemenx, Ekonomi dan Kewirausahan
Vol 4
, No 1
(2026)
The development of digital technology has triggered significant changes in marketing and brand management, particularly in the Micro, Small, and Medium Enterprises (MSMEs) sector. This study aims to conduct a comprehensive analysis of the implementation of digital marketing and online branding as strategies for developing MSMEs to increase competitiveness and business sustainability in the digital economy era. This study focuses on the use of social media, marketplaces, and various other digital...
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