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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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Penerapan Terapi Madu terhadap Penyembuhan Luka pada Pasien Ulkus Dekubitus di RSUD Kabupaten Tangerang
Jurnal Ventilator: Jurnal riset ilmu kesehatan dan Keperawatan
Vol 2
, No 3
(2024)
Background: According to the National Pressure Ulcer Advisory Panel, a decubitus wound is an area of ??scar tissue on the skin or soft tissue that covers a protruding bone. Wound treatment from various traditional medical sciences such as Ayurveda, traditional Chinese medicine, or traditional Roman medicine, one of which uses honey as a wound treatment modality. Research Objective: To determine nursing care for decubitus ulcer patients using honey therapy intervention for wound healing. Research...
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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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Assessment of Low-Cost Tide Gauges to Meet GLOSS 1-cm Precision and Accuracy Standards: A Case Study on Pramuka Island, Indonesia
Forum Geografi
Vol 38
, No 2
(2024)
The expansion of the tide gauge network along the coasts is essential for better monitoring of sea-level dynamics. Owing to climate change, the urgency has been exacerbated, especially during the last two decades. However, densification a challenging task because of the lack of affordability of the sensor, especially in the Global South. Further, the precision and accuracy requirements of 1-cm imposed by the Global Sea Level Observing System (GLOSS) is too restrictive, particularly for low-cost...
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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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11 Sitasi
MANAJEMEN PENDATAAN KELUARGA MISKIN KOTA SURAKARTA DALAM RANGKA PELAKSANAAN BANTUAN SOSIAL
Jurnal Ilmu Administrasi Publik
Vol 13
, No 2
(2024)
Program pendataan keluarga miskin di Kota Surakarta sebagai langkah awal dalam mengatasi kemiskinan menghadapi sejumlah permasalahan, seperti ketidakakuratan data, ketidaksetaraan akses, dan kurangnya pemutakhiran data secara teratur. Penelitian ini bertujuan untuk mengevaluasi manajemen pendataan keluarga miskin di Kota Surakarta dalam pelaksanaan bantuan sosial. Metode penelitian yang digunakan adalah deskriptif kualitatif. Hasil penelitian menunjukkan komitmen dalam mengelola data kemiskinan...
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IMPLEMENTASI PROGRAM KELUARGA HARAPAN (PKH) DI KELURAHAN SEWU
Jurnal Ilmu Administrasi Publik
Vol 14
, No 1
(2024)
The research results show that the implementation of the Family Hope Program (PKH) in Sewu Village can be taken from various aspects, including its impact on the welfare of poor families, effectiveness of implementation, and support from the community. Evaluation of the program's impact on the welfare of poor families is crucial. Such as increasing access to education, health and the economy for PKH participants. The success of PKH implementation can also be evaluated in terms of implementation...
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Pengaruh Kepuasan Kerja dan Komitmen Organisasi terhadap Organizational Citizenship Behavior (OCB) di PT Erindo Mandiri Prigen
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 3
, No 3
(2024)
Organizational Citizenship Behavior (OCB) refers to voluntary actions that are not directly rewarded by the formal reward system but that contribute to organizational effectiveness. Organizational citizenship behavior (OCB) is a reflection of the added value of employees and contributes to job performance, job satisfaction, and organizational commitment. PT Erindo Mandiri is a company engaged in the production of bottled mineral water. This study aims to evaluate the effect of job satisfaction a...
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Pengaruh GPM, NPM, ROA, ROE, dan Kebijakan Kepimpinan tehadap Pertumbuhan Laba dengan GCG sebagai Moderasi: (Studi pada Perusahaan Telekomunikasi yang Terdaftar di Bursa Efek Indonesia Tahun 2020-2023)
Transformasi: Journal of Economics and Business Management
Vol 3
, No 3
(2024)
The aim of this research is to explain the effect of GPM, NPM, ROA, ROE, and Leadership Policy on Profit Growth with GCG as a Moderating Variable. This type of research is quantitative, where data is processed using the SPSS application. The sample in the study consists of 10 companies from a total population of 15. The sample was determined using Purposive Sampling, which selects samples based on specific criteria. The data analysis techniques used include descriptive statistics, classical assu...
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SISTEM INFORMASI ARSIP PEGAWAI PADA DPU PR KAB KARANGANYAR
Jurnal Ilmiah Sains dan Teknologi
Vol 6
, No 02
(2024)
Proses pengelolaan arsip pegawai di Dinas PU dan PR Kabupaten Karanganyar masih dilakukan secara manual, yang membutuhkan waktu. Tujuan peneliti adalah untuk membuat dan menerapkan Sistem Informasi Arsip Pegawai. Tujuannya adalah untuk meningkatkan kinerja pendataan Arsip Pegawai. Metodologi penelitian menggunakan pengumpulan data (data primer dan data sekunder) dan analisis data (analisis sistem menggunakan UML, desain teknologi, analisis kebutuhan sistem, pengujian sistem menggunakan Black Box...
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