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Menampilkan 1301–1310 dari 4378 artikel
Detection and Classification of Banana Leaf Diseases: Systematic Literature Review
Telematika
Vol 17
, No 2
(2024)
Bananas, a staple fruit globally, are essential for sustenance, employment, and income. However, diseases like Sigatoka, Bacterial Wilt, Bunchy Top, and Fusarium Wilt pose a threat to their cultivation, affecting both small-scale and large-scale production. This survey investigates methods for the early identification and classification of these banana leaf diseases using deep learning and machine learning techniques. A systematic review of 15 studies revealed that the majority of research conce...
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4 Sitasi
Penerapan Strategi Digital Marketing Pada Usaha Mikro Kecil Menengah (UMKM) Ngaboci
Jurnal Ekonomi Bisnis dan Kewirausahaan
Vol 13
, No 2
(2024)
Sebagai salah satu sektor ekonomi terbesar di Indonesia, Usaha mikro, kecil, dan menengah (UMKM) bertanggung jawab atas signifikan dan, signifikan dalam perekonomian internasional. Pemasaran yang menggunakan teknik digital marketing adalah salah satu pendekatan yang mungkin digunakan untuk mengembangkan dan memajukan UMKM. Penelitian ini bertujuan untuk menemukan dan menganalisis strategi pemasaran digital digunakan oleh perusahaan mikro, kecil, dan menengah (UMKM) Ngaboci untuk penjualan. Denga...
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The Impedance of East Jakarta Road Network to Estimate Fire Station Service Areas
Semedi, Jarot Mulyo
; Pradana, Mohammad Raditia
; Putera, Dhavani Ardyas
; Rahatiningtyas, Nurul Sri
Forum Geografi
Vol 38
, No 2
(2024)
Urban fires, prevalent in densely populated areas, pose significant risks by increasing deaths and injuries. Fire departments must navigate challenging access routes to manage these incidents effectively. This study analyzes the service coverage of fire stations in East Jakarta, considering road network, width, speed, and travel time. The study utilizes secondary data from the DKI Jakarta Provincial Fire and Rescue Service, road network data from local government sources, and traffic data from G...
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Mapping of the Spatio-Spectral Dynamics of Mangrove Chlorophyll Concentrations via Sentinel-2 Satellite Imagery
Ahammed, K. K Basheer
; Karang, I Wayan Gede Astawa
; Nuarsa, I Wayan
; Indrawan, I Gede Surya
; Hendrawan, I Gede
; Dewi, Ni Made Nia Bunga Surya
; Pandey, Arvind Chandra
Forum Geografi
Vol 38
, No 2
(2024)
Mangrove ecosystems play a critical role in maintaining coastal health; however, they are increasingly threatened by anthropogenic activities and climate change. Health assessment is essential for effective conservation efforts. However, traditional remote sensing techniques such as the normalised difference vegetation index (NDVI) may not fully capture the complex physiological processes influencing vegetation health. Therefore, this study investigated chlorophyll (Chl) dynamics in mangroves us...
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Analysis and Geovisualization of Tsunami Hazard and Evacuation Routes in the Opak-Progo Coastal Area
Sudaryatno, Sudaryatno
; Josaphat Tetuko Sri Sumantyo
; Taufik Hery Purwanto
; Muhammad Falakh Al Akbar
; Amelia Rizki Gita
; Osmar Shalih
Forum Geografi
Vol 38
, No 2
(2024)
The southern coastal area of Java has a high risk of tsunamis. Additionally, the presence of rivers flowing in the south of Java Island poses a greater tsunami threat because these rivers can act as "toll roads" for tsunami waves to enter the land. Therefore, this study was conducted in the coastal area of the Opak-Progo watershed to determine the level of tsunami hazards and plan effective evacuation routes. The hazard map was created using the Berryman method, which employs parameters such as...
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INDUCTION ENDOSPORE FORMATION OF Bacillus subtilis KM16 AS A PROBIOTIC CANDIDATE BY OPTIMIZATION OF THE GROWTH CONDITIONS
Bioma : Jurnal Ilmiah Biologi
Vol 13
, No 1
(2024)
Probiotics are living microorganisms which have beneficial effects. One of the benefits is enhancing immunity. Therefore, probiotics are often supplemented into food, medical, and aquaculture products. B. subtilis KM16 as endospore-producing bacteria have been known to increase probiotic resistance to confront the unstable conditions of the digestive tract. Spore formation of Bacillus is supported by the optimal condition of growth medium and incubation periods. The sufficient availability of ca...
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Analisis Rasio Keuangan Dalam Menilai Kinerja Keuangan Pada PT Hanjaya Mandala Sampoerna Tbk Tahun 2018 - 2023
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 3
, No 3
(2024)
Performance is a measure or assessment of the extent to which a company can achieve the desired goals and results. One way to assess the financial performance of a company is to carry out financial report analysis. This research aims to determine financial performance using financial ratios at PT. Hanjaya Mandala Sampoerna Tbk which occurred before the disaster that hit the world, namely the Covid 19 pandemic, during the Covid 19 pandemic and after the Covid 19 pandemic. This research uses quant...
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Comparison of Linear Regression, ARIMA, Simple Exponential Smoothing, Hybrid ARIMA-LSTM, and EWMA in Forecasting Commodity Prices
Mujiyanto, Mujiyanto
; Universitas AMIKOM Yogyakarta
; Nurindahsari, Susi
; Politeknik Harapan Bersama
; Nurul Izza, Rahmafatin
; Politeknik Elektronika Negeri Surabaya
; Universitas AMIKOM Yogyakarta
Telematika
Vol 17
, No 2
(2024)
In this study, we compare the performance of both hybrid and non-hybrid forecasting models, explicitly focusing on Linear Regression, ARIMA, Simple Exponential Smoothing, Hybrid ARIMA-LSTM, and EWMA in predicting commodity prices within the volatile market of Central Java, Indonesia. The primary objective is to evaluate which hybrid and non-hybrid models provide the most accurate and reliable forecasts under various conditions. Analyzing daily price data from the SiHaTi platform, an official ser...
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Garbage Image Classifier using Modified ResNet-50
Telematika
Vol 17
, No 2
(2024)
This research proposes a deep learning model pretrained with ResNet-50 to classify 12 types of garbage. The model uses a modified ResNet-50 architecture with the Adamax and Adadelta optimizers and varying learning rates (0.1, 0.01, and 0.001). Six experiments were conducted to determine the most optimal training parameter configuration for the proposed model. Results show that the model performed best with the Adadelta optimizer and a learning rate of 0.1, achieving a validation accuracy of 93.8...
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CNN Pruning for Edge Computing-Based Corn Disease Detection with a Novel NG-Mean Accuracy Loss Optimization
Putrada, Aji Gautama
; Telkom University
; Oktaviani, Ikke Dian
; Telkom University
; Fauzan, Mohamad Nurkamal
; Telkom University
; Alamsyah, Nur
; Telkom University
Telematika
Vol 17
, No 2
(2024)
Plant disease detection studies disease attacks in plants detected on the leaves using computer vision. However, some plant disease detection solutions still utilize cloud computing, where the problems include slow processing times and misuse of data privacy. This study aims to evaluate the performance of convolutional neural network (CNN) pruning in edge computing-based plant disease detection. We use Kaggle's plant disease image dataset, which contains three corn diseases. We also created an e...
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