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The Influence of Fire Simulation on Community Preparedness in Facing Household Fires in Sudiroprajan
Gaster
Vol 22
, No 2
(2024)
Background: Structure sustained structural damage, lost possessions, and incurred financial losses due to the fire. Disaster simulation is a tool that can be used to train people to prepare themselves in the face of disasters. The goal of the study is to determine how fire simulation affects community readiness in the event of a residential fire disaster. Methods: The study employs a quantitative approach using a quasi-experimental design with a one-group pre-test and post-test without a control...
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PENINGKATAN PENGETAHUAN MENGENAI BENCANA GEMPABUMI MELALUI PERMAINAN SOS DAN PUZZLE DI SMP NEGERI 1 POLANHARJO KABUPATEN KLATEN
Dewi, Ratih Puspita
; Musiyam, Muhammad
; Wibowo, Yunus Aris
; Pambudi, Wulansari Dwi
; Santoso, Dimas
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 8
, No 2
(2024)
An earthquake is a type of natural disaster which occurs due to the movement of tectonic plates. The time and location of an earthquake cannot be predicted, so people living in earthquake-prone areas should have good knowledge of earthquake disasters as capital in anticipating earthquake disasters. Various efforts need to be made to increase knowledge about earthquake disasters, one of which is through education. In the education sector, efforts to increase knowledge about earthquake disasters c...
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PEMBERDAYAAN USAH MIKRO MELALUI PELATIHAN PENGEMBANGAN PRODUK DAN SALURAN PEMASARAN DIGITAL: Pelatihan olahan makanan, pelatihan branding dan pengemasan, serta pelatihan pengembangan marketplace.
M, Rudianto
; Rahmawati
; Dwi Amperawati, Endang
; Djuminah
; Marwanti
; Hartoko, Sri
; Noviani, Rita
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 8
, No 2
(2024)
Microenterprises in Desa Sumber are small-scale household businesses run by the local community. Based on the existence of businesses, there are SMEs that produce processed food and batik cloth. In the processed food business, problems arise related to the absence of assistance and business management to develop, so that the community conducts small-scale and limited household businesses. Problems in the batik business are weak competitiveness, the number of batik products produced, and the lack...
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1 Sitasi
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
A GIS-Based Analysis of the Public Open Space Distribution and Accessibility in Gurugram City, India
Forum Geografi
Vol 38
, No 2
(2024)
The rapid pace of urbanization and increasing urban density in India has led to critical concern about the sustainability and livability of urban environments. In the city of Gurugram, public open spaces (POS) like parks and playgrounds are limited, highlighting the problem regarding their availability and accessibility. This study analyzes the current distribution of POS in the city of Gurugram at the ward level and compares the existing situation with national planning guidelines. It also aims...
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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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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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1 Sitasi
Pengaruh Waktu Penyelesaian Disbursement terhadap Kegiatan Operasional Head Office PT. Adhika Samudera Jaya pada Tahun 2022
Profit: Jurnal Manajemen, Bisnis dan Akuntansi
Vol 3
, No 4
(2024)
The aim of this research is to examine the influence of disbursement completion time on operational activities. Disbursement is the process of channeling funds by a company to third parties. Operational activities are actions carried out by the company's administrative center, such as planning, coordinating and supervising operations in various branches. The research method used is quantitative by collecting data through questionnaires given to company staff. The collected data was analyzed usin...
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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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