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Menampilkan 1–10 dari 248 artikel
Premarital guidance based on the prepare model (premarital preparation and relationship enhancement) to improve students’ readiness for marriage
The low level of marriage readiness among college students is a significant issue in the field of Guidance and Counseling, as it is linked to high rates of marital conflict and divorce among young married couples. Research on PREPARE-model-based premarital guidance services for college students remains relatively limited, particularly in the context of higher education institutions in Indonesia. This study aims to test the effectiveness of PREPARE (Premarital Preparation and Relationship Enhance...
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Mangrove Loss and Blue Carbon decline in Indonesia’s Coastal Regions
Indonesia has the largest mangrove area in the world and supports high diversity, including 92 true mangrove species. They provide critical ecosystem services such as protection from floods, disaster risk reduction, fisheries support, carbon sequestration, and erosion prevention. Despite their importance, Indonesia has experienced significant mangrove loss/destruction over the past two centuries. This is majorly driven by factors such as pollution, illegal logging, rapid urbanization, agricultur...
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Hybrid XGBoost-LSTM Framework for Accurate SOC, SOH, DOD and Internal Resistance Estimation in Li-ion Cells
Accurate estimation of State of Charge (SOC), State of Health (SOH), Depth of Discharge (DOD), and internal resistance is critical for Battery Management Systems (BMS) in electric vehicles and energy storage. Conventional methods fail to capture the nonlinear and temporal dynamics of lithium-ion cells, while existing machine learning approaches lack systematic benchmarking for embedded deployment. This study evaluates three hybrid models XGBoost-LSTM, XGBoost-SVR, and Linear Regression-Random Fo...
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Utilization of cassava peel waste (Manihot esculenta) as substrate in the production of cellulase enzymes by Aspergillus niger
Cellulase enzymes is an enzyme that can hydrolyze cellulose into smaller sugar components. Cellulase enzymes are produced due to high demand, with 29.17% in the animal feed industry, 14.67% in the textile industry, and 26.17% in the paper industry. One method of producing cellulase enzymes is by utilizing the cellulolytic microorganism Aspergillus niger. This study aims to optimize cellulase enzyme production by Aspergillus niger through liquid fermentation on cassava peel substrate (Manihot esc...
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Mechanical Performance of Recycled Plastic-Based Paving Blocks with Sand and Fly Ash Fillers
Qomaruddin, Mochammad
; Fakhriyan, Adi Noor
; Saputro, Yayan Adi
; Priastiwi, Yulita Arni
; Fatchur Roehman
; Nasyiin Faqih
; Arif Hidayat
; Akhmad Firdos Khoiril Khitam
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 2
(2026)
The use of recycled plastic waste as a binder for paving blocks has been reported in a number of previous studies. However, most of these studies focus on feasibility and do not clearly explain how different plastic types behave mechanically over time. In this study, the compressive strength performance of paving blocks made from polypropylene (PP), polyethylene terephthalate (PET), and high-density polyethylene (HDPE) was experimentally compared using sand or fly ash as fillers. All mixtures we...
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USB Breakout-Controlled Modular CNC System for Affordable Smart Manufacturing Solutions
Artono, Budi
; (Google Scholar ID: Hef9Vq0AAAAJ, Politeknik Negeri Madiun)
; Winarno, Basuki
; State Polytechnic of Madiun
; Kusbandono, Hendrik
; State Polytechnic of Madiun
; Anata, Frian Adi
; Gupta, Shashi Kant
Telematika
Vol 19
, No 1
(2026)
The primary objective of this study is to design, develop, and experimentally validate a low-cost modular CNC system controlled via a USB Breakout Controller as an affordable machining solution for small-scale wood manufacturing. The research employed an experimental approach involving the fabrication of an 18 mm plywood test specimen under three feed-rate settings (40%, 50%, and 70%) to evaluate dimensional accuracy, machining time, and surface quality. The CNC prototype was constructed using s...
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A Clustering-Popularity-based Model for Cold-Start Recommendations using User Attributes and Item Ratings
Ifada, Noor
; University of Trunojoyo Madura
; Nikmat, Moh
; Universitas Trunojoyo Madura
; Suristiar, Weni Pratiwi
; Universitas Trunojoyo Madura
; Sophan, Mochammad Kautsar
; Universitas Trunojoyo Madura
Telematika
Vol 19
, No 1
(2026)
Recommendation systems face a major challenge known as the cold-start problem, which occurs when the system lacks sufficient user interaction data. Thus, there is no basis for a recommendation. Existing approaches, such as co-clustering methods and non-personalized popularity models, often struggle to effectively combine heterogeneous user and item data (categorical user attributes and numerical item ratings) or to capture latent group-level preferences. To bridge this gap, we propose a new clus...
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PENINGKATAN LITERASI AI DAN EFISIENSI ADMINISTRASI GURU MELALUI MODEL POWERPROMPT GURU DI SMAN 1 SUSUKAN
Saefurrohman, Saefurrohman
; Soelistijadi, R
; Santosa, Dwi Budi
; Noor S, Rina Candra
; Sutanto, Felix Andreas
Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat
Vol 6
, No 1
(2026)
This community service program aims to improve teachers’ skills in utilizing artificial intelligence through prompt engineering at SMAN 1 Susukan, Semarang Regency. The activity was motivated by the high administrative workload and the inconsistent quality of teaching materials in implementing the Merdeka Curriculum. The Powerprompt Guru training emphasized hands-on practice in designing effective prompts using ChatGPT, enabling teachers to produce learning artifacts and school documents more qu...
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Exploring Students’ Perception of Speech Practice in Academic Speaking Subject for Fifth-Year Students
International Journal of Research in Education
Vol 6
, No 1
(2026)
In the era of globalization, public speaking is becoming increasingly important in various fields, especially for EED students as future educators, where they must present material and lead class discussions effectively. However, many struggle to develop it, such as with anxiety and a lack of confidence. This research aims to describe the perceptions of EED students at Muria Kudus University regarding speech practice in the Academic Speaking subject during the 2024/2025 academic year, in terms o...
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Optimized Deep Learning Framework for Clinical Data Classification Using Firefly-Enhanced Stacked Sparse Autoencoders
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 8
, No 1
(2026)
Diabetes is a chronic metabolic disorder characterized by sustained high blood sugar levels, which frequently cause complications, including neuropathy and cardiovascular disease. Due to the complex and nonlinear nature of clinical data, accurate and timely prediction is challenging. Traditional approaches struggle to generalize or extract rich features from low-resolution datasets. In this paper, a hybrid deep learning model (FA-SSAE: Firefly Algorithm-based Stacked Sparse Autoencoder) is propo...
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