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Menampilkan 1–9 dari 9 artikel
Pengembangan sistem informasi geografis untuk pemetaan bangunan gedung pemerintah di kota Bandung
Hafsah Islamiati Ayuningtyas
; Wahyu Purnama Sari
; Bintang Bahari
; Triansyah Amarullah Ahmad Prayoga
; Prawira Setia Ramdhani
IT-Explore: Jurnal Penerapan Teknologi Informasi dan Komunikasi
Vol 4
, No 3
(2025)
Advancements in information technology have created significant opportunities for more efficient spatial data management, including the mapping of government buildings. To support this effort, this study develops a web-based geographic information system for mapping government buildings in Bandung City using Leaflet.js. The system aims to facilitate interactive map visualization and provide more accurate and structured access to spatial data. The Agile method is applied in the system development...
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An Intelligent Telediagnosis of Acute Lymphoblastic Leukemia using Histopathological Deep Learning
Khan Tusar, Md. Taufiqul Haque
; Islam, Md. Touhidul
; Sakil, Abul Hasnat
; Khandaker, M N Huda Nahid
; Hossain, Md. Monir
Journal of Computing Theories and Applications
Vol 2
, No 1
(2024)
Leukemia, a global health challenge characterized by malignant blood cell proliferation, demands innovative diagnostic techniques due to its increasing incidence. Among leukemia types, Acute Lymphoblastic Leukemia (ALL) emerges as a particularly aggressive form affecting diverse age groups. This study proposes an advanced mechanized system utilizing Deep Neural Networks for detecting ALL blast cells in microscopic blood smear images. Achieving a remarkable accuracy of 97% using MobileNetV2, our...
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Enhanced Vision Transformer and Transfer Learning Approach to Improve Rice Disease Recognition
Rachman, Rahadian Kristiyanto
; Setiadi, De Rosal Ignatius Moses
; Susanto, Ajib
; Nugroho, Kristiawan
; Islam, Hussain Md Mehedul
Journal of Computing Theories and Applications
Vol 1
, No 4
(2024)
In the evolving landscape of agricultural technology, recognizing rice diseases through computational models is a critical challenge, predominantly addressed through Convolutional Neural Networks (CNN). However, the localized feature extraction of CNNs often falls short in complex scenarios, necessitating a shift towards models capable of global contextual understanding. Enter the Vision Transformer (ViT), a paradigm-shifting deep learning model that leverages a self-attention mechanism to trans...
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Exploring DQN-Based Reinforcement Learning in Autonomous Highway Navigation Performance Under High-Traffic Conditions
Journal of Computing Theories and Applications
Vol 1
, No 3
(2024)
Driving in a straight line is one of the fundamental tasks for autonomous vehicles, but it can become complex and challenging, especially when dealing with high-speed highways and dense traffic conditions. This research aims to explore the Deep-Q Networking (DQN) model, which is one of the reinforcement learning (RL) methods, in a highway environment. DQN was chosen due to its proficiency in handling complex data through integrated neural network approximations, making it capable of addressing h...
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Pengaruh Cadangan Devisa, Penanaman Modal Luar Negeri, Laju Inflasi, dan Tingkat Suku Bunga terhadap Nilai Impor di Indonesia
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 3
, No 1
(2023)
This study aims to determine the effect of independent variables (Foreign Exchange Reserves, Foreign Direct Investment, Inflation Rate, and Interest Rate) on the dependent variable (Import Value) in Indonesia for the last five years. This study uses quantitative analysis with descriptive methods used to obtain empirical evidence of the effect of Foreign Exchange Reserves (X1), Foreign Direct Investment (X2), Inflation Rate (X3), Interest Rate (X4), and Import Value (Y). Panel data regression ana...
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Butterflies Recognition using Enhanced Transfer Learning and Data Augmentation
Adityawan, Harish Trio
; Farroq, Omar
; Santosa, Stefanus
; Islam, Hussain Md Mehedul
; Sarker, Md Kamruzzaman
; Setiadi, De Rosal Ignatius Moses
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
Butterflies’ recognition serves a crucial role as an environmental indicator and a key factor in plant pollination. The automation of this recognition process, facilitated by Convolutional Neural Networks (CNNs), can expedite this task. Several pre-trained CNN models, such as VGG, ResNet, and Inception, have been widely used for this purpose. However, the scope of previous research has been somewhat constrained, focusing only on a maximum of 15 classes. This study proposes to modify the CNN Ince...
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PEMANFAATAN BUNGA TELANG DALAM PEMBUATAN LIP BALM
Jurnal Pengembangan IPTeks Seni Kuliner, Tata Rias, dan Desain Mode
Vol 13
, No 1
(2021)
Telang flower is generally used as food coloring amd traditional medicine. The contents of telang flower has many benefits for humans. Also, it is hoped that the use of telang flower in the manufacture of lip balm will be a new innovation in cosmetic products. The aim of this research is to create a lip balm based on telang flower which functions to moisturize the lips. This research uses literature, ekasperiment, documentation, observation, and public teasting methods. This experiment resulted...
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Pengaruh Kualitas Sumber Daya Manusia, Komitmen Organisasi, Dan Insentif Terhadap Implementasi Standar Akuntansi Pemerintah Berbasis Akrual (Studi Pada Perangkat Daerah Kota Surabaya)
Jurnal Ilmiah Komputerisasi Akuntansi
Vol 14
, No 1
(2021)
Penelitian ini bertujuan untuk menguji pengaruh kualitas sumber daya manusia, komitmen organisasi, dan insentif terhadap penerapan SAP berbasis akrual pada kantor dan instansi Pemerintah Kota Surabaya. Sampel yang digunakan dalam penelitian ini berjumlah 26 perangkat daerah yang terdiri dari 104 pegawai yang bekerja pada 26 Perangkat Daerah dan Pemerintah Kota Surabaya, namun data yang berhasil dikembalikan dan diisi hanya 95 responden dan disusun secara purposive sampling. Teknik analisis data...
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SISTEM PENGENDALIAN LAMPU BERBASIS ARDUINO MENGGUNAKAN BLUETOOTH PADA SMARTPHONE ANDROID DI RUMAH QUR’AN AL-FATAH
Jurnal Elektronika dan Komputer
Vol 11
, No 2
(2018)
The purpose of this research is to produce tangible results in providing comfort or convenience in turning on or off the night life at home everyday, especially for people who forget to turn off the lights. The method used in making microcontroller-based home lighting control using an android smartphone is. This research method consists of several stages, analysis methods, design methods, implementation testing methods, and maintenance. The results achieved are improving the aspects of comfort a...
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