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Menampilkan 1–10 dari 22 artikel
Separable Convolutional Hierarchical Decomposition for Lightweight Residential Load Forecasting in Smart Grids
Residential load forecasting is essential for maintaining grid stability and energy management in smart grids. However, achieving accurate real-time forecasting under resource constraints remains challenging because Transformer and LSTM models can be computationally demanding, while lightweight linear models such as DLinear have limited modeling flexibility. This study investigates whether a hierarchical separable convolutional framework can provide accurate and efficient residential load foreca...
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PENGARUH PERBEDAAN METODE COLD PROCESS DAN HOT PROCESS TERHADAP KARAKTERISTIK MUTU SABUN PADAT EKSTRAK BEKATUL BERAS MERAH (Oryza rufipogon Griff)
Jurnal Inovasi Teknik Kimia
Vol 11
, No 1
(2026)
Solid soap is produced through saponification, which can be done using either the cold or hot process. The key distinction lies in temperature: the cold process occurs at room temperature without heating, whereas the hot process uses heat to saponify. These differences may influence the resulting soap quality characteristics. This experimental study aimed to examine the effect of cold and hot processing methods on the quality characteristics of solid soap formulated with red rice bran extract (O...
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FROM JOB TITLES TO SKILL PROFILES: EFFECTS OF SKILLS BASED HIRING ON ORGANIZATIONAL AGILITY AND DIVERSITY
Prabowo, Catur
; Harminingtyas, Rudika
; Pelupessy, Ig. Henri
; Widowati, Maduretno
; Fahlefi, Diva Riza
Fokus Ekonomi : Jurnal Ilmiah Ekonomi
Vol 20
, No 2
(2025)
To examine the causal relationship between Skills Based Hiring (SBH), Organizational Agility (OA), and Workforce Diversity (WD). The study population included all 168 managerial and non-managerial employees, using a census sampling technique. Data were collected through questionnaires, then analyzed using quantitative methods through Partial Least Square (PLS). SBH has a positive and significant effect on OA, which means that skills-based recruitment improves the organization's ability to respon...
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Pengembangan aplikasi edukatif menggunakan Desmos dan Padlet pada Materi SPLDV
Henrikus Farel Constan Adhi
; Angela Larasati Kirana Putri
; Marsela Ayu Puspitasari
; Marcella Nindita Putri
; Raynaldhi Yoshua Sange
; Andreas Erwin Prasetya
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika
Vol 16
, No 2
(2025)
This study aims to develop a learning application based on Desmos and Padlet for the subject of Two-Variable Linear Equation Systems (SPLDV) to improve students' conceptual understanding through a Problem-Based Learning (PBL) approach. The main issue underlying this study is the lack of interactive and contextual learning media used in the SPLDV learning process at the junior high school level. The method used is Research and Development (R&D) with the ADDIE model, which includes the stages...
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Multi-Horizon Short-Term Residential Load Forecasting Using Decomposition-Based Linear Neural Network
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Short-Term Load Forecasting is crucial for grid stability and real-time energy management, particularly in residential settings where consumption is highly volatile and influenced by behavioral and external factors. Traditional models struggle to capture complex, non-linear patterns. This study proposes a forecasting framework based on the DLinear model, which decomposes time series data into trend and seasonal components using a simple linear neural network architecture. Designed for multi-hori...
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Implementasi Gerakan Literasi Sekolah di SMP Muhammadiyah 01 Jember
Fatqurhohman, Fatqurhohman
; Fatkurochman, Henri
; Prastzuba, Falestin Al-Zakiyah
; Diniyah, Putri Holifatur
The role of human resources for teachers (educators) in technological progress in the era of the Industrial Revolution 5.0 makes the world of education the most important part of changing the nation's civilization, because it is the implementer of the success of the learning process in the classroom. The government's policy on independent learning hopes to have a positive impact through various activities to grow and improve a culture of literacy, competence and character. Therefore, this servic...
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Implementasi Gerakan Literasi Sekolah di SMP Muhammadiyah 01 Jember
Fatqurhohman, Fatqurhohman
; Fatkurochman, Henri
; Prastzuba, Falestin Al-Zakiyah
; Diniyah, Putri Holifatur
Adi Widya: Jurnal Pengabdian Masyarakat
Vol 9
, No 1
(2025)
The role of human resources for teachers (educators) in technological progress in the era of the Industrial Revolution 5.0 makes the world of education the most important part of changing the nation's civilization, because it is the implementer of the success of the learning process in the classroom. The government's policy on independent learning hopes to have a positive impact through various activities to grow and improve a culture of literacy, competence and character. Therefore, this servic...
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3 Sitasi
FOOD SUPPLY CHAIN NETWORK ANALYSIS OF SMALLHOLDER PALM OIL IN LANGKAT REGENCY
Agrisaintifika : Jurnal Ilmu - Ilmu Pertanian
Vol 8
, No 2
(2024)
The oil palm plantation business in North Sumatra is the oldest and oldest oil palm agribusiness activity in Indonesia. However, there are still problems with palm oil commodities in North Sumatra, especially Langkat Regency. In the FFB marketing aspect, obstacles are faced, such as fluctuations in FFB prices at the farmer level and the length of trading channels that farmers have to go through before they reach the factory. This research aims to analyze the smallholder oil palm supply chain in...
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BUSINESS SUCCESS INFLUENCED BY CREATIVITY, ENTREPRENEURIAL KNOWLEDGE AND BUSINESS CAPITAL
Prabowo, Catur
; Tasriastuti, Nurrohmi Ambar
; Pelupessy, Ig. Henri
; Harminingtyas, Rudika
; Fahlefi, Diva Riza
Fokus Ekonomi : Jurnal Ilmiah Ekonomi
Vol 19
, No 2
(2024)
The purpose of this study was to determine the effect of creativity, entrepreneurial knowledge and business capital on business success (Case study on MSMEs in West Semarang District). The population in this study was 50 MSME actors. Data collection techniques used observation, case studies and questionnaires. Data analysis techniques used quantitative methods. In this study, the method used to analyze data was the Partial Least Square (PLS) method using SmartPLS 3.0 software. The results of the...
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Utilizing Sequential Pattern Mining and Complex Network Analysis for Enhanced Earthquake Prediction
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 6
, No 4
(2024)
Earthquakes are natural events caused by the movement of the earth's plates, often triggered by the energy release from hot liquid magma. Predicting earthquakes is crucial for raising public awareness and preparedness in seismically active areas. This study aims to predict earthquake activity by identifying patterns in seismic events using Sequential Pattern Mining (SPM). To enhance the prediction accuracy, Sequential Rule Mining (SRM) is applied to derive rules with confidence values from these...
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2 Sitasi