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EFEKTIVITAS MODEL PROBLEM BASED LEARNING BERBANTUAN MEDIA INTERAKTIF PADA CAPAIAN ASESMEN KOMPETENSI MINIMUM NUMERASI SISWA
JIPMat (Jurnal Ilmiah Pendidikan Matematika)
Vol 10
, No 1
(2025)
Kompetensi numerasi siswa di Indonesia masih rendah, sebagaimana ditunjukkan oleh survei OECD 2021 yang mencatat 71% siswa belum mencapai standar minimum matematika. Studi ini bertujuan untuk mengeksplorasi efektivitas Model Problem Based Learning (PBL) dengan bantuan media interaktif pada capaian asesmen kompetensi minimum numerasi siswa di SD Negeri Purwokerto 01. Metode yang diterapkan adalah metode kuantitatif dengan desain pre-eksperimental One Group Pretest-Posttest Design. Subjek peneliti...
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Evidence-based case report: effects of exercise-based cardiac rehabilitation in repaired tetralogy of Fallot
Gaster
Vol 23
, No 2
(2025)
Background: Several sequelae may persist following corrective surgery for tetralogy of Fallot (ToF), including reduced exercise capacity, compromised vascular and cardiac autonomic function, and diminished quality of life. While exercise-based cardiac rehabilitation is commonly implemented for patients with congenital heart disease, there remains a lack of comprehensive understanding regarding the optimal frequency, intensity, duration, and type of exercise. This evidence-based case report aims...
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Hybrid Approaches for Advanced Medical Text Summarization: Combining TF-IDF, BERT, and Seq2Seq Models
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Clinicians, researchers, and healthcare professionals are confronted with the challenge of efficiently extracting relevant knowledge from vast amounts of textual data. Medical text summarization emerges as a crucial tool to address this challenge by condensing lengthy medical documents into concise, informative summaries. A comprehensive hybrid approach is proposed to address the challenges in medical text summarization by combining both extractive and abstractive methods, by integrating Term Fr...
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1 Sitasi
Numerical Investigation of Consolidation Settlement for Runway Construction on Soft Soil: A Case Study in Sumbawa, Indonesia
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Runway construction on soft soil presents significant engineering challenges due to excessive settlement, which can affect structural stability and long-term performance of transportation infrastructure. This study investigates the settlement of a runway in Sumbawa, Indonesia using the Finite Element Method (FEM) in Plaxis 2D. The Hardening Soil Model was applied to realistically capture nonlinear soil behavior. Input parameters were derived from a series of N-SPT data and laboratory test result...
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2 Sitasi
Analysis Stability of Retaining Wall type Soldier Pile during Dewatering Work on Hospital Construction Site
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Groundwater subsidence during dewatering work can be a serious challenge if soil conditions are unstable, potentially disrupting the stability of supporting structures such as soil retaining walls. This research analyzed the stability of soldier pile type soil retaining walls during the dewatering process in hospital construction projects in the BSD area. The data used included the results of Standard Penetration Test (N-SPT), monitoring of dewatering work, inclinometer readings, and stability...
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Optimizing the Productivity of Traditional Textile Artisans through Education and Training for a Sustainable Cultural Industry
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Lasem handmade batik is part of a cultural heritage that has significant economic potential, but the productivity of its artisans is still low due to limited skills and access to innovation. This problem poses a challenge to cultural preservation efforts in line with sustainable development. This study aims to examine the role of education and training in improving the productivity of Lasem handmade batik artisans. The method used is quantitative, with a sample of 100 artisans purposively select...
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Artificial Neural Network-Based Forecasting of Rice Yield Using Environmental and Agricultural Data
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
This study presents a high-accuracy predictive model for rice production in Indonesia using Artificial Neural Networks (ANN), achieving an R² of 98.11%, Mean Absolute Error (MAE) of 0.0966, and Mean Squared Error (MSE) of 0.0189. Climate variability remains a significant challenge to rice cultivation in regions like Malang City, where unpredictable environmental factors such as rainfall, temperature, and humidity hinder effective crop planning and yield estimation. To address this, we developed...
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1 Sitasi
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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Predicting Habitat Suitability of Mahseer Fish (Tor spp.) in Tropical River Systems Using MaxEnt and Google Earth Engine: A Geospatial Modeling Approach
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 7
, No 3
(2025)
Rivers are vital freshwater habitats that face threats of degradation and climate change. Mahseer fish, a key species, is in decline. This study predicted Mahseer fish habitats in Central Java using the Google Earth Engine and the MaxEnt machine learning algorithm. Environmental predictors, including NDVI, elevation, slope, river order, temperature, and rainfall, were extracted from Sentinel, SRTM, MODIS, and CHIRPS data. The model identified river order as the most influential variable (73%), f...
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Analisis Perbandingan Metode Economic Order Quantity (EOQ) Dan Metode Tradisional Dalam Pengendalian Persediaan Bahan Baku Pada Usaha Mie Basah Kediri
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 4
, No 3
(2025)
This study aims to analyze the effectiveness of raw material inventory control at the Kediri Wet Noodle business by comparing the traditional method with the Economic Order Quantity (EOQ) method. A descriptive quantitative approach was applied, utilizing EOQ, Safety Stock (SS), Re-order Point (ROP), and total inventory cost analysis. The results indicate that the traditional method leads to 24 purchase cycles per year with an inventory cost of IDR 4,320,000, without considering safety stock or r...
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1 Sitasi