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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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DESIGN AND IMPLEMENTATION OF A PIEZOELECTRIC PEDESTRIAN-POWERED ENERGY HARVESTING SYSTEM FOR SUSTAINABLE URBAN INSTALLATIONS
Teknika
Vol 10
, No 2
(2025)
This project proposes integrating a pedestrian-powered system into a public installation to create a renewable energy source in urban environments. The system utilizes piezoelectric sensors embedded in the sidewalk to convert mechanical energy from footsteps into electrical energy, which is then used to power lights and display kinetic movement in the art installation. The main goal of this project is to provide a participatory, environmentally friendly, and sustainable solution in the form of a...
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Olahan Pangan Sehat dari Ikan Gabus Giling dengan Ekstraksi Daun Kelor (Pempek Kelor) di Lorong Oxindo Kelurahan 1 Ulu Palembang
Sherly Desliyanah
; Icuk M Sakir
; Diah Putri Islamy
; Julia Tessa
; Aryani Ningsih
; Rahmalia Afriyani
Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri
Vol 3
, No 4
(2024)
Snakehead fish or Ophiocephallus striatus provides many benefits to the human body. Especially for children, pregnant women, and diabetics. There are many preparations that can be made using Snakehead Fish, one of which is Pempek. Pempek which is a typical food from the city of Palembang, in addition to containing a lot of protein and carbohydrates. It turns out that it can be a healthier processed food by mixing moringa leaf extract in it. Moringa or Moringa eleifera in addition to having low c...
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2 Sitasi
Understanding the legal construction of justice collaborators through the Bharada Elizer case
Wacana Hukum
Vol 30
, No 1
(2024)
The objective of this study is to ascertain Bharada Eliezer's stance on Decision Variety: 798/Pid.B/2022/PN.Jkt.Sel, which pertains to the position of Justice Collaborator police officers, as well as the Police Code of Ethics Decision concerning Bharada Eliezer's police status. This study employs a normative juridical research methodology, together with conceptual and statutory techniques. Essentially, when an individual unlawfully ends another person's life, it constitutes a violation of human...
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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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Peran Konseling Kelompok Terhadap Konformitas Teman Sebaya Pada Remaja
Wahyu Auliazalsini
; Makhriffah Robbiah Addawiyah
; Siti Habibah
; Adibah Nur Damiyati
; Aura Islamyazizah
Sinar Dunia: Jurnal Riset Sosial Humaniora dan Ilmu Pendidikan
Vol 3
, No 1
(2024)
A scientific paper that reviews the literature on the role of group counseling on young people's peer conformity attempts to develop a novel intervariable influence study hypothesis that will be used to future psychology counseling studies. This literature review was written using a library research approach, using internet resources from academic websites like Mendeley, Google Scholar, and others consulted. The article literature review has found a number of group counseling techniques for redu...
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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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14 Sitasi